#advanced-pdes
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Max
I've reached:
[ \lvert\lvert u(x,t)\rvert\rvert^2_{L^2(\mathbb{R})}\le [ \lvert\lvert e^{-k\xi^4t}\rvert\rvert^2_{L^2(\mathbb{R})}[ \lvert\lvert f(x)\rvert\rvert^2_{L^2(\mathbb{R})}]
But the factor on the front is out by a square.
Max
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Take the Linfty norm of the exponential out. Get rid of the transform by bounding by L1 norm and then do change of coordinates to get rid of t.
This is false
Is it only true for compact domains ?
Not even then because then for f=g, it implies that any L2 function on compact domain is L2n.
Hmm and is that not true?
I can't see any examples that would counter it
X^-1/4 is in L2(0,1) but not in L4(0,1)
Okay cheers
Problem is if I use the L1 norm inequality it introduces a factor of $2\pi$ and I'll have a double integral instead of a single integral
, rotate
Problem is if I use the L1 norm inequality it introduces a factor of $2\pi$ and I'll have a double integral instead of a single integral
Max
Max
NVM I made a mistake
Anyone see what I'm missing?
Each time I try bound it above by L1 of the exponential I get a double integral
This would complete the proof
🥺
I know it's something super small that I'm missing
Are you sure that f is L2 as well?
f is definitely L2
Were these the steps you intended?
Surely the infinity norm of the function of e would be 1...
Not really but I doubt such an inequality could hold. Because the Linfty norm of the exponential thing is necessarily 1 (obtained for xi=0) whcij we can't bound by integral/2kt thing as that will tend to 0 as it goes to infinite
[ \lVert \hat{f} e^{- k \xi ^4 t} \rVert_{L^2} \leq \lVert e^{- k \xi ^4 t} \rVert_{L^\infty} \lVert \hat{f} \rVert_{L^2} \leq 1 \cdot \lVert f \rVert_{L^2} \not\leq \frac{\lVert e^{-x^4} \rVert_{L^1}}{\sqrt[4]{2kt}} \lVert f \rVert_{L^2}
]
as the RHS can be made arbitrarily small as (t \to \infty) so it cannot upper bound (1).
cocat
How about starting with the infinite norm instead.
[\lVert u\rVert_{L^{\infty}}^2= \frac{1}{\sqrt{2\pi}}\lVert \hat{u}\rVert_{L^1}^2=\frac{1}{\sqrt{2\pi}}\lVert \hat{f}(\xi)e^{-k\xi^4t}}\rVert_{L^1}^2\le \int_{\mathbb{R}}e^{-2kx^4t}dx}\lVert f\rVert_{L^2}^2,]
where the last line used $\frac{1}{\sqrt{2\pi}}\le 1$ and Cauchy schwarz.
Max
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@lilac barn just found out the question is wrong... sorry for wasting your time.
At my university the professors don't update mistakes in exam questions....
No take the Laplacian on L²(R^n)
It is 0-sectorial, self-adjoint, and all but not invertible.
gm
gm
Thank you very much!
On a $d$-dimensional compact Riemannian manifold $M$ without boundary, if $u(x) = \sum_{j = 0}^{\infty}\hat{u}(j)e_j(x)$ is the eigenfunction expansion of $u$ in terms of eigenfunctions of $\Delta$, does $\sum_{j = 0}^{\infty}|\hat{u}(j)| < \infty$ imply $u$ is continuous? This is true on the torus $\mathbb{T}^d$, but it makes use of the fact that $|e_j(x)| = 1$.
L
Does anyone know how to show that weak solutions exist for the non-stationary Navier-Stokes equations?
I am trying to figure out if my solution is valid for the following problem. The problem I am looking at is $cos(y)z_{xx} + cos(x)z_{yy} = -cos(x)-cos(y)$, where I need to find a periodic solution of $z(x,y)$ as opposed to the obvious qudaratic solution that satisfieis it.
I plugged in a two dimensional fourier series in for $z$ and obtained a the coefficients of the solution through harmonic balancing. But I'm worried because I'm double checking the solution through substitution to see how it exactly satisfies the PDE and it does so by producing an alternating series that doesn't converrge. The way things cancel is something like
$cos(x) + cos(y) - cos(x) - cos(y) + cos(2x) + cos(2y) - cos(2x) - cos(2y)...$.
I wanted to see if I could just get an approximation to the solution by truncating it at some index of the fourier sum, but any index I truncate leaves off one term that doesn't cancel.
I'm not really sure how to interpret this.
pewpew2385
@inland sinew z = X(x)Y(y) then divide both sides by cos(x)cos(y)X(x)Y(y) separates the homogeneous problem doesnt it?
then you can just use the greens function to solve the inhomogeneous part
L² energy estimates
"sur un liquide visqueux emplissant l'espace" Jean Leray 1934 or 1932 I don't remember
@mint canyon For the homogenous problem that does work. The greens functions for this equation are constructed from Mathieu's equations, which I was trying to avoid temporarily. You can do it that way though. I took a second look at it and figured it out though. I also noticed s a strange feature of this equation, which is that some of the solutions seems to be invariant under swapping x,y with cos(x),cos(y)
x17
^ This is wrong, my bad
I didnt account that you have to divide both sides by cos(x)cos(y)X(x)Y(y)
so that wont work unfortunately
The solution ended up being way simpler than I realized because I overlooked something.
Hi! Not sure if this is the right channel, this might not seem to fit anywhere, but I've been reading a paper and I'm not quite sure how to make sense of those calculations. I get that its 'symbolical', but differentiating I get rather different relations: $$\frac{\partial}{\partial \alpha} = \frac{-z}{\alpha} \frac{\partial}{\partial z}$$ and $$\frac{\partial^2}{\partial f^2} = \frac{1}{\left(B \varepsilon \alpha \right)^2} \frac{\partial^2}{\partial z^2}$$ Any ideas what I might be doing wrong?
MaineCoon
At A.9a RHS this might have just been a sign error? (minus instead of equal)
I'm definitely missing some terms and I'm just not sure how to understand that notation
(epsilon and alpha don't seem to be dependent on f, nor does f on alpha, varepsilon )
Okay maybe it works if it s equal instead of minus in the alpha one
That's some cursed notation
Ikr
You can post this in #odes-and-pdes
ok its still wrong 
Can someone tell me if I'm right: The inclusion $H^s(\mathbb{R}^d) \to C(\mathbb{R}^d)$ regarded in $D'(\mathbb{R}^d)$ is continuous if and only if $s > d/2$. This is because if the inclusion is continuous, then $\delta \in H^{-s}(\mathbb{R}^d)$, so the function $f \in H^s$ with $\hat{f}(\xi) = \langle \xi \rangle^{-s}$ is in $L^2$.
L
That sounds correct but you still need the converse direction
As I am confused what you meant, I am guessing this is your argument:
For f in Hs, |delta(f)| = |f(0)| <= |f||infty <=C|f|Hs so delta defines a linear functional on Hs. This implies delta is in H-s and thus via the H-s norm, we obtain the condition on s.
Hey y'all - does anyone have a reference for someone with a PhD in pure maths (functional analysis) to learn basics of CFD from a theoretical perspective (e.g. what methods to use when, why they work, convergence rates, ect.)? Bonus points for brevity. Happy to move this question if not the correct channel. Thanks!
Hello, I've been learning PDE using the book by Hillen, Leonard, Van Rosen. But I see MIT Open courseware has a PDE section for free. Have any of you taken it? Any feedback? I'm only 2 chapters into my book so I'm not opposed to switching sources, just looking for tips.
Here's the cover of the book I'm using
From a brief inspection, the book you are using seems decent, though it is at a lower level than typical texts like those by G. Folland, L. Evans, and M. Taylor. I would switch to using sources at the level of the three I mentioned if you have the background for it.
The only real reason I picked this book was because it has "completely solved problems" LOL.
When I took PDE in uni, they used the Zachmanoglou, Thoe book, and tbh that book made me hate the course LOL.
I'll check out the Evans book again
is this the usual characterization of sobolev spaces?
this seems to conflict with evans
this seems to suggest that indeed sobolev spaces instead are larger than the closure of the space of test functions
but then again, perhaps the two characterizations are equivalent when the domain is R^d?
bingo. the compact support of test functions forces their closure to consist of things "vanishing at the boundary" in a suitable sense (mapping properties of the trace operator tell you precisely what sense), but R^n has no boundary!
ah interesting, so i can just regard W^k,p(R^d) to both be the closure of C_c^\infty(R^d) and the space with weak derivatives up to order k that are all in L^p?
no weird trace stuff
Yep. I prefer to take the latter as the definition (functions in L^p are somewhat less clunky objects than equivalence classes of sequences of test functions), but one of the first things you prove after making such a definition is the density of the test functions.
cool cool thank you sm
this last remark is a bit odd, cause usually we define W^k,p as a subset of L^p where distributional derivatives to order k are L^p, so in case the domain is R^n, f(x)=1 would not be sobolov in both definitions.
i guess there is a "equivalent" way im not familiar with that doesnt require f itself to be L^p
They are talking about the homogeneous Sobolev spaces in that remark. The defining norm only involves k-th (in this case k=1) order derivatives. So the norm is perfectly reasonable and finite for things that are only locally integrable but have L^p first order weak derivatives.
(Lower order polys are usually quotiented out in this space, so f(x)=1 is actually just a representative of the same element as f(x)=0. Note that the homogeneous Sobolev norm cannot tell them apart!)
This book looks like Bedrossian-Vicol
whats the advantage of this approach for PDEs? shouldn't we care about the behavior of the function itself ?
hello! I’m studying weak solutions to 2d Euler equations which model inviscid incompressible fluid flow and found this notation—can’t find where it’s defined in the book I’m looking at (vorticity & incompressible flow by bertozzi and majda). If anyone knows what the L^infty set in point (i) is and could help me understand that’d be mega appreciated
this is equivalent to:
$$\omega\in\mathrm{L}^\infty([0,T],\mathrm{L}^1(\mathbb{R}^2))\cap\mathrm{L}^\infty([0,T],\mathrm{L}^\infty(\mathbb{R}^2))$$
is implied.
firstly tyvm—though I haven’t seen the comma/semicolon notation before. Is that saying that for almost all t in [0,T], \omega(x,t) is integrable over space and essentially bounded over space
exactly
Functionanatolysis
that’s so helpful tysm
ofcofc
Question: Substitution seems to work generally for reducing systems of linear PDEs to a single scalar PDE, is there a matrix method for this where I can use row operations instead of substitutions. Let me give an example of what I mean:
$$ A \partial_x \phi + B \partial_y \theta + C \phi = 0, P \partial_x \theta + Q \partial_y \phi + R \theta = 0 $$ where $$Q \partial_x \partial_y \phi = -P \partial^2_x \phi - R \partial_x \theta$$, gives the first equation as $$A( \frac{1}{Q} ( -P \partial^2_x \phi - R \partial_x \theta )) + B \partial^2_y \theta = -C \partial_y \phi$$, then $$P \partial_x \theta + Q( -\frac{1}{C} (A( \frac{1}{Q} ( -P \partial^2_x \phi - R \partial_x \theta )) + B \partial^2_y \theta)) + R \theta = 0$$, and finally $$-\frac{AP}{C} \partial^2_x \phi = P \partial_x \theta -\frac{1}{C} (-AR \partial_x \theta + B \partial^2_y \theta) + R \theta$$
x17
I guess there would be one more step:
$$ -C \partial_x \phi = A( -\frac{C}{AP} (P \partial_x \theta -\frac{1}{C} (-AR \partial_x \theta + B \partial^2_y \theta) + R \theta)) + B \partial_y \theta $$ is substituted in to the second equation to give $$ P \partial^2_x \theta + \frac{Q}{C} (A( -\frac{C}{AP} (P \partial_x \partial_y \theta -\frac{1}{C} (-AR \partial_x \partial_y \theta + B \partial^3_y \theta) + R \partial_y \theta)) + B \partial^2_y \theta) + R \partial_x \theta = 0 $$
x17
As you can see the reduction is tedious. Is there a faster way to do it?
It is not a "different approach", it is just one of MANY different function spaces measuring different quantitative features of functions/distributions. Depending on what is relevant for the problem being studied, different features are important.
I should add that changing the space change the inner behavior of the problem you are studying.
Sometimes one needs to measure only the amount of derivatives that shows up in the equation. However the definition here is misleading and partially wrong for homogeneous Sobolev spaces.
Closure of C_c infty with respect to what structure etc... For instance,
they probably mean completion rather than closure
Whatever is the completion of homogeneous W^{1,2}(R²), it CANNOT be identifiable with actual elements of D'(R²)
This is morally due to the critical Sobolev embedding in BMO
There cannot be any continuous embedding from the former to the latter.
It fact it can be proved by contradiction.
I don't think they claim otherwise though. they make their actual definition as a completion (which is fine) and then make a handwavy (and I agree misleading) remark about other possible definitions without giving details.
To get rid of constant by hands there is a huge issue
If you do so
Some how you HAVE to lost completeness of the space
Which seems unbearable
But this is the most fair construction
So "taking the completion" is somehow wrong either
(with respect to the authors' remark)
Here is a MSE post about those issues: https://math.stackexchange.com/questions/4818059/completeness-of-homogenous-triebel-and-sobolev-spaces/4819111#4819111
Middle of Part II] of the selected answer
"But do we really have to lost completeness ?"
I don't see the issue here. Per Bahouri and Grafakos, it's clear the issue comes primarily because of the parent space. If you work in the obvious S', you lose completeness whereas in the nebulous S'/P, you retain completeness.
But note that they're working with C^\infty_c so their approach is more in line with Grafakos for which you've completeness in all cases.
Not according to what said the author in the comment here
.
End of the screenshot
Choice of not having 1 in the space
is either saying that he used equivalence classes
or he did get rid of polynomial by hands
In fact, a very simple example to check is to consider delta *(1_[0,1])^. This will lie inside Bahouris definition but not under their definition (as the element is strictly a tempered distribution and hence not a norm limit of smooth functions)
if you check with equivalence classes it does
in S'/P
so (C_c^nfty +P)/P identified with C c infty
is dense
I am not talking about S'/P. My claim is strictly about the definition they proposed: aka completion of Cc\infty under the homogenous norm
But you have to choose where you put you compeltion
the only suitable choice is S'/P
otherwise this is not continuously embedded in the dual of some smooth function space
I mean I don't have to put them anywhere, I just consider the equivalence class of the Cauchy sequences; but even if I put inside S'/P, then I automatically get completeness as I have completeness inside S'/P
Yes but the compeltion does not gives elements of D'
so you cannot test them on C_c^\infty function
Do we really want to play with elements that aren't distributions in any sense ?
The completion gives you functions in return; which gives you a well-defined distribution.
That's the actual point
it does not
Which is the most confusing thing
Are you claiming that here the completions lie outside of the full space of distributions?
Exactly
Okay what's an example?
.
H^{-n/2} homogeneous does not contain smooth compactly supported functions
I am talking about their definition though. Their definition has nothing to do with Bahouris definition
What EVER IS THE COMPLETION
By any compeltion
The dual space is not included in D'(R^n)
The completion can very well lie inside S'/P (which it should because it doesn't contain any constants or polynomials unlike S')
But their n is nonnegative? Your claim might be that their definition falls apart for negative n, but for nonnegative n; I don't see how your argument works.
n is the dimension
If the pre dual space does not contain C_c^\infty
the dual space cannot be included in D'
n isn't the dimension in their definition; it's the number of derivatives. Your example might be proving that H-n/2(Rn) has no sense; which migjt be true but this says nothing about Hn/2(Rn) aka spaces where the regularity is nonnegative.
when s<n/2
the spaces are complete
no matter what
included in S'
the issue happens for high regularity only
(beyond the critical Sobolev embedding)
Your example is for negative regularity spaces; not for positive high regularity.
No
read again
homogeneous H^{-n/2} does not contain C_c infty this is negative regularity
we agree on that
but then
any completion of Schwartz function w.r.t the homogeneous H^{n/2}-norm can be put in duality with homogeneous H^{-n/2}
Both are Hilbert spaces
Since the pre-dual space does not contain C_c^\infty
homogeneous H^{n/2} (the dual of hmogeneous H^{-n/2})cannot be included in D'(R^n)
What could be an example of such an element?
Wait, if H-n/2 doesn't contain C\infty_c, this doesn't imply Hn/2 doesn't contain C\inftyc. What this implies is that D' is not inside Hn/2 which is true. In particular A subset B implies B* subset A* not B* subset A.
In fact; that's the most likely outcome. We expect C\inftyc to be inside Hn/2 so it implies that we should have H-n/2 is inside D'. Which it does hold.
I didn't say that
I just claimed H^{n/2} is not included in D'
Don't you suggest one can construct a Cc\infty function with infinite H-n/2 norm?
I know it's easy; this implies H-n/2 doesn't contain Cc\infty. The implication that derives from this is that D' is not included in Hn/2 not that Hn/2 isn't included in D'.
Those are Hilbert spaces, but what ever this is not the proof
The actual argument is heavier
Argue by Contradiction
if H^{n/2} is a subset of D'
then one of many version of the closed graph theorem for TVS implies that this inclusion is continuous
this implies C_c^\infty is included in homogeneous H^{-n/2}
contradiction
this is the tricky part obviously
Only "few"* people are actually aware of those issues in the PDE community
*already a lot actually, but still a lot of people are unaware of it
Which version? I don't think that there is one applicable to D' (as it is not even barreled iirc)
according to Wikipedia it is
D' being barrelled
In mathematical analysis, the spaces of test functions and distributions are topological vector spaces (TVSs) that are used in the definition and application of distributions.
Test functions are usually infinitely differentiable complex-valued (or sometimes real-valued) functions on a non-empty open subset
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Hi, this is sort of a broad question and I might also ask it in dynamical systems. But I think a class of PDES I'm working on can be rewritten as wave equations in a slightly different dependent variable. Is there any good systematic way of figuring out what this choice would be?
What I mean is I have a PDE L(z(x,y)) = 0, where z is the dependent variable and L is the operator that has a mixed sign on the discriminant(hence a coordiante transform cannot globally turn it into a canonical form of the wave equation). However Im pretty sure there is some function of z, say F(z), which satisfies the 1 d wave equation in x and y.
Are there Sobolev spaces $H^s(\mathbb{R}, L^2(P))$?
L
What's P here?
Depending on what's P there is no actual answer. But in general one can introduce Banach-valued Sobolev spaces
probability measure
Yes
You can define what ever vector Sobolev space you want
Moreover, here the Banach space is a Hilbert space so everything goes in an easier way
(you can define Hilbert valued Fourier transform: you still have Fourier -Plancherel etc.)
To define $H^s(\mathbb{R}, H)$, do we need $H$-valued distributions
L
Functionanatolysis
Then
Functionanatolysis
This is overkill tho
Should it be defined in terms of pairings against $\mathcal{S}(\mathbb{R}^n; X)$. Like using the space $(\mathcal{S}(\mathbb{R}^n; X))'$
L
This is where you have to be carefull
the problem is about the behavior of the dual space of X
which can be really messy
this why we use continuous linear maps from S or D with values in X
instead of the dual of (S(R,X))'
you need a predual space
which may not happen
in the Hilbert case no one actually cares
Morally (S(R,X))' is S'(R,X')
so your distributions ar X' valued and not X valued
I was thinking of the $L^2(\mathbb{R}^n; H)$ pairing $(u, v) = \int_{\mathbb{R}^d}(u(x), v(x))_H,dx$, and that it should extend to $v \in (\mathcal{S}(\mathbb{R}^n; H))'$.
L
For Hilbert spaces everything coincicdes
no troubles
But this is not necessary to build your spaces
You don't even need to go at the level of distributions. For nice properties, you consider a rigged Hilbert space (H,V,H*) and require your u to be in, for example: L2([0,T] ; V) and u' in L2([0,T]; H*). For further details, you can look into Evans book
However this is a bit different in this case
This is the outer space that can "move"
not the innver
The way I would build your Sobolev spaces without distributions theory is the following
Start from the Hilbert Fourier-Plancherel Formula:
Reprove using density of Hilbert-valued Schwartz functions that everything coincides: that s actually measure the amounts of derivatives etc.
u in H^{s}(H) <=> u & Du in H^{s-1}(H)
etc.
Here $\mathcal{F}u(\xi) = \int_{\mathbb{R}^d}u(x)e^{-i\xi^Tx},dx$, the integral being a Bochner integral, valid for $u \in L^1(\mathbb{R}^d; H)$?
L
yes
I have a process $Z(x) = \sum_{j = 0}^{\infty}(1 + \lambda_j)^{-s/2}\xi_j f_j(x)$, where $f_0, f_1, \dots$ are eigenfunctions of $-\Delta$ on a $d$-dimensional compact Riemannian manifold $M$ and $\xi_j$ are i.i.d. $N(0, 1)$, and I showed it was $C^k(M, L^2(P))$ when $s - d/2 > k$ by basically reproving Sobolev embeddings, but it seems that we only have $Z \in H^{s - d/2 - \varepsilon}(M; L^2(P))$, which is quite a bit weaker. Is there a way to prove $C^k$ using the Sobolev spaces $H^t(M; L^2(P))$?
L
Is there a good reference for these Hilbert or Banach valued distributions/Sobolev shenanigans?
Pick pretty much any graduate parabolic PDE Book, it should contain it. You can look into Evans, Eberhard etc.
Evans as in the giant PDE book?
(Or is it some other one he also happened to write)
Yes the giant PDE Book
Right right, I’ve just been had before by an author name referring to a very different book than the “big one” they’re known for
Those notes by Herbert Amann for abstract vector valued Distribution theory
Then its book about Parabolic equations
Which does not contains the notes.
I'd ask in #book-recommendations but i think this channel is more appropriate for this specific request. I need a good book for a introduction to viscosity solution theory.
the inequality is easy to see, but why it implies that Ker(I-K) = {0}?
i tried to use the inequality to verify that I-K != 0 so that would then imply that \phi = 0 hence Ker(I-K) = {0}
the inequality implies that $\varphi$ must be zero, else you get a contradiction (namely $y \leqslant y/2$)
Rudolf
ah yeah clearly the inequality cant hold for all x and the maximum is achieved hence which leads to contradiction namely $y \leq y/2$
Rottawarlock/Rottamage
thanks
Thanks
any idea how to solve this monster ? 😄
Maybe rewrite it in complex exponential form
for (my) convenience
hmm
By contradiction assumme it has at least one eigen value and one eigen vector
write down the equation
take the scalar product your basis
you will have a contradiction with the fact that the set of eigenvalues is non-empty
basis of L^2(0,2pi) ?
ye e^(int)
gets messy with lots of sines and cosines
the sine and cosine basis seems more convenient
notice that for convinence you can simplfy using trignometric identities
Rottawarlock/Rottamage
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Rottawarlock/Rottamage
It's my night brain speaking so I haven't worked it out but it should work.
First recognize that the summand is -(k+1)^-2 sin((ks+s)+kt).
Now you have int K(s,t) f(t) dt = cf.
Taking Fourier transform, you should have something like
1/((k+1)^2) int e^{ikt} delta_{n - (k+1)} - e^{-ikt}delta_{n+(k+1)} f(t) = c fhat(n).
Thus we have for each n:
(1/n^2 int e^{i(n-1)t} - 1/(-n)^2 e^{i(n+1)t} ) f = c fhat(n).
Thus c fhat(n) = 1/n^2 (fhat(n-1) - fhat(n+1)) along with fhat(0)=0.
This should kinda give you a sequence of coefficients that shouldn't hold for an L2 integrable function unless f is 0. Like we notice that fhat(1)= -1/c fhat(2) and so on.
Might be too convoluted
interesting approach
We have $$K sin(kt) = \frac{1}{(k + 1)^2}\cos((k + 1)t)$$ and $$K \cos(kt) = -\frac{1}{(k+1)^2}\sin((k+1)t)$$
L
yeah then the kernel reduce to K/(k+1)^2, but i dont see the steps yet
what is K ?
$K : L^2(M) \to ?$ is the operator $Kf(x) = \int K(x,y)f(y),dy$
L
ahhh i see
i just end up with an integral $\int_{0}^{2\pi}\sum_{k=0}^{\infty}\frac{1}{(k+1)^2}(cos((k+1)s)sin(kt)-sin((k+1)s)cos(kt))(\frac{a_0}{\sqrt(2\pi)}+\sum_{n = 1}^{\infty}(a_ncos(nt)+b_nisin(nt)))dt$ but dont really see where to go here
where $u(t) =(\frac{a_0}{\sqrt(2\pi)}+\sum_{n = 1}^{\infty}(a_ncos(nt)+b_nisin(nt)))$
essentially you swap integration and summation
In the end you will need to know where $K$ sends each basis element $1, \cos(kt), \sin(kt)$.
L
yeah it basically reduces to a question what is an integral of $\int_{0}^{2\pi}sin(tk)cos(nt)dt$ and $\int_{0}^{2\pi}sin(nk)cos(kt)dt$
Rottawarlock/Rottamage
lol i over thought the integral
as a result i get $-a_0\sqrt{2\pi}sin(s)$ which is odd something is missing
Rottawarlock/Rottamage
this is odd shouldnt the operator map 1, cos and sin to zero? atleast i get zero
no. Fix $j \in {1, 2, \dots}$. Then by using the orthogonality relations, $$(K \cos(jt))(s) = \int_{0}^{2\pi}K(s, t)\cos(jt),dt = -\frac{1}{(k+1)^2}\sin((j + 1)s)\pi$$
L
but integral from 0 to 2pi of $cos(jt)(sin(tk)-cos(tk))$ with respect to t is zero even if j = k
Rottawarlock/Rottamage
No, $\int_{0}^{2\pi}\sin(kt)\cos(jt),dt = 0$ for all $j, k \geq 1$.
L
you can easily see it is 0 over -pi to pi since the integrand is odd
but $\int_0^{2\pi}cos(jt)cos(kt)dt$ is also zero for all $j,k \geq 1$
Rottawarlock/Rottamage
$\int_0^{2\pi}cos(jt)cos(kt)dt = \pi \delta_{jk}$ for $j, k \geq 1$.
L
oh man i really need to check my computations
It's easy to do these using complex exponentials
Namely $(e^{ijt}, e^{ikt}){L^2([0, 2\pi])} = 2\pi \delta{jk}$, $j, k \in \mathbb{Z}$
i used Product-to-sum identities
sure that's basically the same
1/2(cos(jt-tk) + cos(jt+tk))
L
yeah i made a silly mistake in my calculations..................... namely cos(0) = 0 (which isnt not true) xDDDDDDDDDDDDDDDDDDDD
ok i see the result now .D
😄
thanks @rotund jetty
If $M$ is a compact smooth Riemannian manifold of dimension $d$ and $s > d/2$, what is the closure of the span of ${\delta_{x} : x \in M}$ in $H^{-s}(M)$?
L
I think it's all of $H^{-s}(M)$?
L
I think you are right
Because those spaces are Hilbert spaces
so assume you have an H^{s} function u that vanishes on all the dirac masses
then u(x) = 0 for all x by definition
thus u =0
the orthogonal of dirac masses is the null space and then the dirac masses are dense in H^{-s}
Given a Hilbert schmidt self-adjoint operator $T : H \to H$, and an orthonormal set $\psi_1, \dots, \psi_n$, is there a way to bound $\sum_{j = 1}^{n}|(T\psi_j, \psi_j)|^p$ by something like $\sum_{k}|\lambda_k|^p$, where ${\lambda_k}$ are the eigenvalues of $T$?
L
If you can do this when p =2 then you can do for any p>=1 as on finite dimensions all norms are equivalent
I want to do it for $p < 2$ because I am sending $n \to \infty$.
L
that equivalence of norms comes with a constant that is too large for me when $p = 2$.
L
I got $\sum_{m = 1}^{\infty}|(T\psi_m, \psi_m)|^p \leq \sum_{j}|\lambda_j|^p$
L
is the space separable?
Hi!
I am interested in Finite Element Exterior Calculus (FEEC), which is a finite element theory that it formulated in terms of differential forms and exterior calculus.
I'm programming a FEEC library for solving PDEs in rust, that supports arbitrary spatial dimensions.
If you know anybody about one of these topics, then come talk to me about it :)
yeah separable Hilbert space $H$.
L
ok then I got the same
do there exists cacciopoli inequality for a case when $\Delta(u) - Vu = 0$ where $V$ is some bounded function
Rottawarlock/Rottamage
i tried to multiply the equation by $\theta^2u$ st $\theta = 1$ on $B(x,r)$ and $supp\theta$ is in $B(x,2r)$ and integrate by parts over the set $\supp \theta$ i obtain $\int_{B(x,r)}|\nabla u|^2dy \leq M\int_{B(x,2r)}|u|^2dy - \int_{supp \theta}u<\nabla (\theta)^2, \nabla u>dy $
Rottawarlock/Rottamage
i want to obtain $\int_{B(x,r)}|\nabla u|^2dy \leq 2M\int_{B(x,2r)}|u|^2dy + \frac{c}{r^2}\int_{B(x,2r)}|u|^2dy$
Rottawarlock/Rottamage
on the another hand we could just integrate over the set $B(x,r)$ and integrate by parts and obtain $\int_{B(x,r)}|\nabla u|^2dy \leq 2M\int_{B(x,2r)}|u|^2dy$ and then add the term $\frac{c}{r^2}\int_{B(x,2r)}|u|^2dy$ since its positive and we obtain the result, but this feels odd
Rottawarlock/Rottamage
https://www.math.cmu.edu/cna/LectureNotesFiles/Keniglecture1.pdf its here 2nd page
sorry this is all rough working im in a slight hurry @patent fjord
writing it in the weak formulation and then select the test function as they suggest, the key point is you can control the derivative of 'eta' by 1/r, and then the other key step is to apply youngs inequaltiy carefuly so you can rearrange the '|Du|^2' term onto the left hand side
hopefully its okay
ah i see, the weak formulation + "cut off" function, wasnt sure about the test function
i think u forgot 1/2 from the exponent when u apply the cs
since we dont know $<\nabla \theta, \nabla u> \geq 1$
Rottawarlock/Rottamage
so im applying it like $ab = (ta)(b/t) \geq 1/2 [ a^2 t^2 + b^2/ t^2] $
idk how latex works
not sure what you mean sorry
when you use the cs 1st time to obtain $<\nabla \theta, \nabla u>\leq|\nabla \theta| |\nabla u|$
right, so whats the problem sorry
Rottawarlock/Rottamage
there should be $|\nabla \theta|^{1/2}|\nabla u|^{1/2}$
Rottawarlock/Rottamage
ahhh i see
Any good reference for the DG-ish stuff in DEs?
Afraid that’s not something anyone where I’m at really seems to work on to ask
at the page 2 i see the resulting limes when $\varepsilon \rightarrow 0$, but dont why we actually need the dagger inequality. i tried to apply DCT to switch order of integration and limes, but the dagger seems bit odd in that case.
Rottawarlock/Rottamage
but somehow we need to justify switching order of integration and limes
In Strauss PDE Chapter 9 when trying to derive the 3D wave equation solution by method of spherical means, the author wrote that we can define v this way to use D'Alembert's formula. However I don't recognize this as being D'Alembert's formula, since it should only contain one integral, but this formula for v contains two integrals and the second integral I don't even recognize. Can someone please explain to me what's happening here?
my question is how do they apply the dagger at the page 2?
I have a question about some statements in Strauss, I've been rereading chapters 2 and 3 and I saw statements claiming the uniqueness of the solution to the diffusion equation on the whole line without proof or state the uniqueness in a theorem(he only proved the uniqueness in a rectangle in the book). He also uses this uniqueness in later proofs, which doesn't feel very rigorous. Here he assumed the uniqueness of Diffusion with a source, and I'm not sure if it's a rigorous statement or not, and it's bugging me a little bit....
And I saw this which seems to suggest that the solution is not necessarily unique, which is confusing: https://mathoverflow.net/questions/125166/wild-solutions-of-the-heat-equation-how-to-graph-them
There's a free paper I haven't read so I have no idea if this will help you, but the title is convincing.
Ahhhh, sorry.
I need to have a sleep. I'll look at it a bit later and see if I can provide any assistance.
Oki, thank u so much!
You're welcome, but hold thanks. You never know how stupid I can be on any given day, 🤣.
Hello I am stuck on question 2 from this sheet. I’ve added my working but not sure where I’m going wrong. Please help me understand.
I will have a look at Strauss in a second, but I suspect that it is just a little bit of handwaving because the book is not overly theoretical.
The important thing to remember about heat equation uniqueness is that the "wild solutions" (i.e. nontrivial solutions from 0 initial data) all grow very rapidly in the spatial directions. So the uniqueness theorems are usually all the form "there exists a unique solution in the class of functions F" where F only needs to be restrictive enough to rule out things that grow very fast.
Oh, I see! I didn't really see any theorems stating the uniqueness so I agree it is a little handwavy. I'll search for more detailed results related to this. It's just a little confusing in the book because the author in fact uses this uniqueness to prove other things, without proving or stating the uniqueness of a certain problem properly.
Hi. In Sobolev Spaces, for a rectangle $K = (a,b) \times (c,d)$, we know $H^2(K)$ is continuously embedded in $C^0(\overline K)$. We then have that there is $M > 0$ such that $||f||{C^0(\overline K)} \leq M ||f||{H^2(K)}$ for all $f \in H^2(K)$. My question is: are there good estimates for $M$ in terms of $a,b,c,d$?
phao
I found the result for the torus: https://www.ma.imperial.ac.uk/~jdg/JMP_BartGib_2011.pdf
dunno if the proof can be adapted for the unit square
THank you
Im trying to get from the first equation here to (2.2), and im struggling to do that. Clearly its enough to show that 2.2 with BAu instead of the commutator is equal to 0. I tried flipping to the Fourier side, but I ended up with a convolution I wasnt sure how to handle. And if I just keep it on the spatial side and apply integration by parts as well as the assumption u is divergence free, it also doesnt seem to help. So if anyone has any hints or suggestions for how to do this, Id very much appreciate it.
But why exactly? @astral vine
Recall a . (u . grad) a = 1/2 u . grad |a|^2. Then use integration by parts.
woww a lie bracket 😍
Just a commutator, what's rely more on Lie theory is "u dot nabla"-stuff which stands for the Lie derivative following the direction given by u
In this specific case both coincides
Thanks!
thanks
not sure if this is pdes or diff geo but for the alembert wave equation, u_tt = c^2 div(grad(u)), how does one account for waves on a sphere
or does the equation apply there too
It applies on any Riemannian manifold. div and grad have general definitions in terms of the metric tensor.
not sure whether this or adv probability is the right channel, but can anyone explain to me bourgain's GG* argument?
If you have a conservation equation $\partial_{t}\rho + \partial_{x}(\rho u ) = 0$ and you know that $\partial_{x}u < 0$ then heuristically this should mean that for any point x the function $\rho(t,x)$ is an increasing function of time. Does anyone know somewhere I can find a proof of this?
M6LI
I guess the idea behind the proof would be to assume that it does not hold and then show that mass conservation would be violated somehow.
nvm got it
Are there any theorems about the existence of solutions for linear, second order PDE's with variable coefficients that are periodic? I am looking at problems with mediums that have periodic qualities(like stiffness), and these types of equations show up a lot.
Periodic coefficients, but not necessarily periodic solutions, say ?
Or Periodic coefficient with periodic solutions ?
The first kind goes back to tools such as the Bloch Transform
Which allow to diagonalize somehow the operator to fall in the range of the second case
Which is easier to deal with.
See e.g. Bloch Transform.
See for instance Peter Kuchment's book.
What’s a good source on weak solutions in sobelev spaces
Evans is the standard reference I believe
Tysm
Thank you for the reply. I have slowly been trying to read up on the Bloch Transform, but I only have knowledge of basic fourier series/transform so its taking me a bit of time. I asked because I was looking at a PDE of the form. f(y)zxx + f(x)zyy = -Af(x) - Bf(y).
A and B are constants, and f is a periodic function that can be written as a cosine fourier series. I am seeking solutions for z that are periodic. Because the obvious solution to the problem is just to choose a quadratic function which can immediately satisfy the problem with the correct constants.
I found a solution to this general case based on just plugging in a 2d fourier series for z, and spending way too much time figuring out the coefficients, but there is something very special going on with the coefficients that made me realize there is probably something going on I don't understand and I have a hard time believing its not related to integral transforms.
Hey can someone tell me if I'm computing the commutator of this pair of operators correctly? I am not sure how to compose differential operators like LB because some terms of B have functions as coefficients
3rd partial derivatives 
Are you talking to me? Can you tell if I computed LB or BL wrong?
Does anyone have a good reference for optimal control (not the basic Linear Quadratic Regulator, Harmonic Oscillator basic stuff) without going through the whole physics stuff
The goal is to eventually get to stochastic optimal control
not sure
maybe try oing [B,L]..?
what is $\frac{d}{dt}L$?
L
is it composition?
if so, your $\frac{d}{dt}L$ is missing a term from the product rule. Look at $\frac{d}{dt}Lf$ for smooth f
L
Is u a function of the variable x, or of two variables t and x ?
I did the computation, and got a plus on the orange and blue terms of BL
but otherwise same
(if you look at the signs, BL and LB are both with only pluses since L and B can both be factored by the - sign)
where can I find this? is it in a book? so U am guessing this is the s power of the expected value of the del operator?
wdym ?
Zanarcane
This book is Intro to navier stokes by Vlad Vicol and the angle bracket here is the Japanese bracket. In particular, this operator is defined by the Fourier symbol (1+|x|^2)^s/2
That's his book with Jacob Bedrossian, right?
I have a system of differential equations : u'+v=f(t) , v'-u=g(t)
(u(0)=0 , v(0)=pi/2)
So I let Y=(u , v) , and get to solve Y'=((0 1) (-1 0)Y +(f(t) g(t) ) (Matrix and Vector)
For the homogeneous part I get Yh(t)=(acos(t)+bsin(t) , -asin(t)+bcos(t) )
To this point , I wanna use the "constant variation" method, but I can't seem to figure out how to do so.
In 1D , the method is to let Yp(t)=z(t)Yh(t) , to plug in this Yp in the original equation, then solve for z'(t) and get back to Yp. Any Idea/hints ?
@knotty river I forgot to mention yesterday: There is so far only one computer algebra system (CAS) for Lie point symmetries (the method in those books) I know of, which is a module in Maple
https://www.maplesoft.com/support/help/maple/view.aspx?path=dsolve%2FLie See the navigation hierarchy bar here
Sadly Maple is not available for a lot of people. It would be extremely nice to have a FOSS CAS for this, say in Python, SAGE, or Julia
Might bring some popularity to the method too
Will check it out
In the way of CAS generally I’ve only used Mathematica so far
And some matlab
Makes sense yeah
Well, I think more people have Mathematica/MATLAB access than have Maple
yeah def
Has anyone seen works on FEM stability analysis that takes the influence of a curved mesh into account?
How do u get the bottom one from the above mesh 
this should be in #numerical-analysis, but the idea is that $\Delta u(x_i, y_i) \approx -4u(x_i, y_j) + \cdots$, so if you replace $u$ with $\Delta u$ and expand usng the approximation again you get the bottom mesh
Alphyte
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Oh sorry I wasn't sure of where to post it
Hi,
I am trying to solve the Linear Stability Theory of a fluid flow given an input of the base flow. I have done the simulations and extracted the flow. A breif overview of the LST is:
- Linearise the navier-stoke equations
- decompose the variables into the base flow and fluctuating component. Apply the wave decomposition to the fluctuating component and substitute it into the linearised navier-stoke equations
- The resulting system can be simplified into a second order ODE: [AD^2 + BD + C]*q =0; where A, B, C are 5x5 matrices and q is a vector of the variables in the navier stoke equations: q = [u,v,p,T,w].transpose --> 5x1 matrix
- The boundary conditions of the ODE are: u(0) = v(0) = p(0)-1 = T(0) =w(0) =0 and u(inf) = v(inf) = p(inf) = T(inf) = w(inf) = 0
to solve this system requires an eigenvalue problem (EVP) being created: Lq = lambdaq; where L is the operator [AD^2 + B*D + C]; q is the same vector but represents the eigenvectors of the solution and lambda is the eigenvalues
I am stuck on how to solve the EVP, given that there is an ODE inside it? I have applied a Fourier transform to the L operator but an stuck on how to apply the boundary conditions and solve the EVP. a tricky part is that the matrices B and C are functions of the wavenumber (which are the output), so i have to define an initial gues for them and solve the solution then apply an interative technique to get the final answer. Can someone help with this?
Thanks
i’m not familiar with what your doing at all but i’m curious, do any predictor-corrector type methods exist for that last part you mentioned
Im not sure what you mean. currently my initial guess for them is 0, then work from there
I initially didnt have an iterative method, but realised that was wrong.
there is a normalisation condition that needs to be met, which helps with the iterative process
for convergence
ps if I dont reply nudge me with a dm
in numerical methods for odes there’s predictor-corrector type methods where usually the predictor is an explicit method and the corrector is an implicit method so i was curious if one existed for something like this
so like for eulers method you “predict” with
$$y_{k+1}=y_k+hf(t_k,y_k)$$
(forward euler) and then correct with
$$y_{k+1}=y_k+hf(t_{k+1},y_{k+1})$$
(backward euler)
ansh
no idea if something like that exists for what you’re working on
i suppose it’s similar to what you have but instead of the initial guess being arbitrarily 0 you could maybe do better if there’s some sort of explicit formula for it
I was reading this (https://github.com/ElsevierSoftwareX/SOFTX-D-22-00069/blob/main/src/PSE.py) open-source code which doing something similar, but solving the exact stability equations. To do so it first solves the LST which an input to the PSE solver. In the solve function (line 1305), it has this comment:
# Description
# Call the relevant function to build, apply BC, compute
# NLT terms and solve ths system. The marching procedure
# performed using backward differentiation formula (BDF)
# The Normalization condition is enforced locally, at every
# station.
I know very little about pdes and came to the following problem from generating function land, hoping y'all can lend some insight. I have a function $F(x, y, z)$ of three variables and I know that:
\begin{enumerate}
\item $F$ is symmetric in the inputs,
\item $F(x, y, 1) = xy$,
\item $\frac{\partial F}{\partial z} (x, y, 1) = \frac{xy}{x + y - xy}$.
\end{enumerate}
I would like to at minimum conjecture some possible shapes of some $F$s which satisfy these conditions; I don't expect them to be enough to pin it down. Anyone have any ideas?
Bonus points if, for each $m$ and $n$, $\frac{\partial F}{\partial y^m\partial z^n} (e^x, 1, 1) = \sum_i b^{(m,n)}_ie^{\lambda^{(m,n)}_i x}$ (where all of the $b$s, the $\lambda$s, and the range of the sum depend on $m$ and $n$), although getting some candidates which satisfy the first three would already be really very helpful. Thanks in advance :).
every place I ever loved
do you think we can create a large language model only trained on analytically solving differential equations
Does mathematica count?
It's not LLM though
How can I compute the weak formulation for $\textup{div}(A \nabla u) = f$ where $u$ is the variable function and our operator then reads $L := \textup{div}(A \nabla \cdot)$. Here, $A$ is a smooth matrix of suitable dimension
мир
Multiply with a test function, integrate over the domain, and use integration by parts
yes
I know that steps
the author gets this
And I have $\textup{div}(A \nabla u)$ which is different from $(\nabla A , \nabla u) + A \Delta u$ since $A$ is a matrix and not a function
мир
ot is it the same?
I could also try to just use the divergence theorem on $\int \textup{div}(A \nabla u)\phi$ but this would be $\int_{\partial \Omega} (A \nabla u) \phi$??
мир
\[\divg(A \grads{u} \phi) = \divg(A \grads{u}) \phi + \angles{A \grads{u}, \grads{\phi}}\]
Yeah
Zanarcane
I think I forgot the answer but can we find an explicit solution, provided all the necessary conditions on the functions, for the Poisson equation with reaction term? $-\Delta u + \lambda u = f$
мир
I mean, this looks like an inhomogeneous Sturm-Liouville problem so it might be possible using Green's function
Yeah.. the solution is $u(x) = \int G(x,\xi)f(\xi)d\xi$.
мир
It's a matter of finding G associated with L = -Delta + lambda
Evans page 320 example
the explicit Kernel is actually super ugly and goes back to special function afair
Hankel functions
(not sure, I have to check)
However the Fourier side is nice
another nice form is
Functionanatolysis
Hello, basics of pde and which level do you study them and list of books along with their authors name...
Read Evans' book. Then near the end of move on Brezis' book.
is there anything that Brezis' book covers that Evans doesn't cover?
I'd regard Brezis more as a functional analysis text with a view towards PDE than a PDE text. Both cover plenty the other does not, and the emphases are quite different. I wouldn't say one naturally follows the other sequentially.
I haven't thoroughly looked at Evans for a while so I cannot recall exactly how much FA is covered, but much of it is probably relegated to the appendices without proof, e.g. spectral theory.
are semi group methods a common approach for solving pdes?
noticed that evans has a section on it but haven’t seen it pop up in many books
I looked into it and the method does not seem terribly practical, there were multiple variants of it though, so maybe one of the other ones is more generally applicable.
the one I looked at required pdes of the form:
$$ \partial_t u = D(x) u $$
x17
where D(x) is some linear differential operator in x
Brezis does everything in a more theoretical fashion whereas Evans does it in a more practical fashion.
This ends up meaning that Brezis becomes easier to read (both notationally and theoretically) whereas Evans is hard to read. On the other side, PDE in Brezis starts at chapter 7 whereas in Evans you get to it on the getgo.
The right order should be to read Brezis then Evans unless you're studying for a PDE course in which case Evans.
I'm not sure what is meant by practical fashion, because Evans also uses a lot of functional analytic tools in part 2 of the book
They're one of the first immediate methods you would do on a linear pde if your PDE admits a nice semigroup operator.
Then any further analysis of the linear PDE can become just the analysis of the semigroup operator. In case of nonlinear (which is where the most magic happens) is a different story.
I would recommend to check out the one-parameter semigroup book.
i see thanks! i’m not too familiar with them but are they related to group theory at all in that they use methods from it to solve pdes or is it called semigroup theory simply because you utilize a semigroup operator
By a practical fashion, I mean you're doing FA for the sake of PDE instead of doing FA for it's own sake like Brezis. This ends up meaning that you dont "waste" time but also ends up convoluting the picture a little (for example, some proofs become more convoluted like the Lax-Milgram proofs in Evans or even the handling of multiple inner-product on subspaces in Galerkin part)
also are there any topics which are a full on intersection of gt and pdes?
or abstract algebra more generally
Not to mention, doing FA for it's own sake implies you end up becoming a lot more comfortable with evaluation and norm notation which can make reading proofs much easier than keeping track of integrals.
It's semigroup theory only precisely because the operator is a semigroup when regarded as a function of time. I don't think you particularly need techniques from group theory. That said, I won't be surprised if someone did end up using techniques from gt to solve some niche problem in PDE.
The nice thing of having a semigroup is that you can define a "derivative" of that operator and from there, it's a one-line away from solving an evolution equation.
Imagine I have domain $\Omega \subset \bR^N$ with boundary $\Gamma$. Suppose I have a diffeomorphism $\Phi(\cdot,\cdot) : [0,T) \times \overline{\Omega} \mapsto \bR^N$. Then $\Omega_t = \Phi(t,\Omega)$ and $\Gamma_t = \Phi(t,\Gamma)$. In particular, if I have a Dirichlet problem on $\Omega_t$ then $u_t = u(\Phi(t,x)) = 0$ for each $x \in \Gamma$. I want to differentiate this to $t$ but am I getting $u'\frac{\partial \Phi}{\partial t} = 0$, whereas the book gets $u' + \nabla u \frac{\partial \Phi}{\partial t} = 0$ on $\partial \Omega$.
мир
Since Phi is a homeo in Rn so the right form is u(t,Phi). Then taking the partial with respect to t should give you the right equation
Yw!
this looks like holder inequality
my guess is that C is a typo then?
because $\norm{D^2f}_{L^\infty(\mathbb{R}^n)}}$ should be $C$
the breadwave
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as f is twice cts differentiable and therefore it's bounded by some C
The supremum is over R^n whereas the integral is over the ball. Might be it?
yeah
So yeah, if the supremum is outside of the ball and is bigger then C > 1?
He is taking the supremum out but laplacian is the sum of same partials whereas D2f is the l2 norm of the second partials. You need a Holder inequality to convert the l1 norm into l2 norm which brings out the C.
Thanks...
the basics are the math tables. then move to algebra. when you solve these equations, taught in eight class, here, in your mind to get that initial point we have to graph it. this gets the approximate answer. then using the usual methods we can get the exact answer.
this the pathways to them. Math. tables. algebra. calculus. ode and pde. simple plot them. and geometry is a great application of them. even architecture. a computer program helps. geometry. point, line, triangle, square, rectangle, curves and planes and polygons. whole maths right here in five minutes. do tell more. bye...
physics, chemistry and even biology. With maths...
for example to solve a quadratic equation, we have to get root of it. root means that a point which fits in the solution. like y=f(x). a basic solution is to keep x at zero then find that answer by substitution of zero in fx. 0,x gets it. this a generic solution. if the equations if plotted does not intersect with any axis. then we have to use b2-4ac methods. again more solutions to it. applications are when we have to find an answer when any two given lines intersect. or in linear algebra we have to plot multiples equations or lines and get the optimal answer. by finding the intersection of system of lines. simplex method is another example of these. and a number of solutions. for each situation. bye...
Hi there! Let me introduce my self here. I am a BCS or Bachelor of computer science graduate. from University of Poona, maharashtra. India. and you are welcome.
This is not the channel to talk about elementary ODEs and PDEs, we have another channel #odes-and-pdes
ok so the C in the middle part of the inequality is a typo
(i asked my professor)
it's just a regular application of holder
what cocat is saying is that $\Delta f = \sum \partial_i^2 f$, whereas $\norm{D^2 f}{\infty} = \sup \abs{D^2f} = \sup \qty(\sum{i, j} (\partial_i\partial_j f)^2)^{1/2}$, and the latter does not necessarily bound the former.
Alphyte
now by equivalence of norms there does exist some C such that the L^1-norm of D^2f is bounded by C * L^2-norm of D^2f
so I believe the C is not a typo here
based on the errata uhh
no
i think i had to bring up that $f$ is in $C^2$?
the breadwave
the constant
wdym
the constant in the middle part of the inequality is a typo
you need the C to bound $\abs{\Delta f} \le C\norm{D^2 f}$ though
Alphyte
cuz that's the convention
H^2?
It is not an important choice at this stage. Any choice of p other than 2 would also give you an equivalent norm.
This leads to another point, the leading constants in these inequalities are not important and not something you should get hung up on. The important thing is that there IS such a C giving you a bound of this form.
So sometimes C will get written whether or not it needs to be there.
Although I'll say that if it's confusing you then you should try to figure it out because the techniques involved are usually elementary and it'll help when the same technique is used elsewhere.
Once you see/figure it out a couple of times, the Cs will become second nature and you won't get bothered.
i think i should read the appendix before i move on
At least what the notations mean, certainly.
yeah i thought D^2f was still in L^1
A good reason to keep the (\ell^2) notation is because the integration by parts formula is nicer:
\begin{align*}
\langle D^2 f, D^2 f \rangle &= \int \lvert D^2 f \rvert^2 = \int \sum_{i,j = 1} (\partial_{ij} f)^2 = \sum_{i,j = 1}^n \int \partial_{ij} f \partial_{ij} f \
&= \sum_{i,j = 1}^n \int \partial_{ii} f \partial_{jj} f = \langle \Delta f, \Delta f \rangle .
\end{align*}
If we used the (\ell^1) notation then
\begin{align*}
\langle D^2 f , D^2 f \rangle &= \int \left(\sum_{i,j = 1}^n \lvert \partial_{ij} f \rvert \right)^2 = \int \sum_{i,j,k,l = 1}^n \lvert \partial_{ij } f \rvert \lvert \partial_{kl} f \rvert
\end{align*}
and you then don't have an easy conversion between the two.
so what gomez said
cocat
it all works out regardless of what l^p norm im in?
The inequalities will work out due to norm equivalence. My point is about why do we fixate on choosing p=2 than some other p-value.
what are examples of linear and nonlinear effects in this sense?
Linear effects are when small initial data gives you small effect. But the soap film oscillations gives you large amplitude even though the thickness can be quite small or quite large showing that the amplitude depends nonlinearly on the thickness
do we even need smoothness to prove this?
I assume you are still reading Evans, and that the definition in this exercise of subharmonic is being C^2 with non-negative Laplacian (there are more general defs).
Indeed you should be able to complete this exercise for just C^2 \phi.
Could someone who specializes in the pure and applied PDEs to tell me about the beauty of the pure and applied PDEs?
Pure and applied PDEs are beautiful.
Tbh Applied is more like a bet you may lose
Like there are a lot of wonderful things. But hell a lot of ugly things too.
the world is described with PDEs
could you explain more?
I'd like to have much details as possible especially from people who are into PDEs
sorry if that's too much to ask
your sentence is so deep and pretty interesting tbh, it made me so curious to know why you have said that @hidden coral
I agree, I just didn't feel like properly engaging with such a broad/vague question without context.
@tired hollow Any system you can think of can be decomposed into a set of attributes represented by functions/fields. The natural behavior of these fields is to change. They change with time, they change from external forcing, they change with position, and they change in response to changes in other attributes of the system. A PDE is a mathematical description of how fields or systems of fields change with respect to each other and their independent variables. It describes how some initial conditions and boundary conditions will evolve over the life of the system, and there are as many solutions as there are initial and boundary condition configurations. (So infinitely many)
This belongs in #math-discussion
This is pretty good explanation, I highly appreciate it. you made things clear and easy to understand. thanks
okay, my bad
wtf are green's functions
fundamental solutions but with boundary conditions
ok better question to ask
why exactly do we call fundamental solutions "fundamental"
why is $\Phi(x):=\frac{-1}{2\pi}\text{log}|x|$ of particular interest
the breadwave
if G is the fundamental solution to some linear PDO L, then the PDE Lu = f is solved by u = f * G, where * is convolution
the easiest way to see this is like electrostatics
coulomb's law tells us the electric field induced by a point charge (i.e. dirac delta fn)
so are all linear PDEs easy to solve because of convolutions?
then, to find the electric field induced by some distribution of charge you essentially integrate coulomb's law across the distribution
for one, finding a fundamental solution is pretty difficult for most PDEs that even admit one
well what is the difference between poisson and laplace
because of the fundamental solution
is what i mean
yeah
wait this is just like the fundamental solution in cookbook ODEs
not sure what the fundamental solution in cookbook ODEs is
if it's "impulse response" then yea
something something 5y''+2y'+y=0 something something use it to solve 5y''+2y'+y=e^x
not really
you are using the solution for the dirac delta and linearity to find a nonhomogenous solution
Hi
has anyone used methods associated with exterior differential systems of PDEs? How general are they for linear equations and what are their limitations?
By exterior differential system you mean PDEs on manifold which obeys certain additional structure ?
If this is the case, I can answer: even doing the easy cases properly in other spaces than L² can be an absolute nightmare to write down carefully. The same goes even on smooth domains or the whole space.
@astral vine Im still very early on in learning about it, but the decomposition of the PDE into a system of differential forms is called a differential ideal and solutions are the integral manifolds of the differential ideal?
I'm no expert in this field, but I think I can speak a bit to why these algebraic considerations are desirable. The overall objective is to gain topological insight into manifolds associated to PDE's.
Consider for example an oriented, Riemannian manifold $M$.
TennisSteve42
At each level of the exterior algebra, the space of $k$-forms decomposes by $\Omega^k(M) = \text{im}d \oplus \text{im}d^* \oplus \ker \Delta$ where $\Delta =dd^*+d^*d$ is the Hodge Laplacian.
TennisSteve42
Observe that the differential ideal associated to the equation describing harmonic forms ($\Delta \omega = 0$) is precisely the set $I = {\Delta \omega , | , \omega \in \Omega(M)}$.
TennisSteve42
Hence, at each level of the exterior algebra, the decomposition $\Omega^k(M) = I_k \oplus \ker \Delta$ takes place, where $I_k$ denotes the set of $k$-forms in $I$.
TennisSteve42
Now here's the kicker (connection to topology): the harmonic $k$-forms correspond to de Rham cohomology classes. Hence, $\ker \Delta \cong H_{dr}^k(\Omega)$ for each $k$.
TennisSteve42
Therefore, $\Omega^k(M) \cong I_k \oplus H_{dr}^k(M)$.
TennisSteve42
Thus, this differential ideal $I$ is somehow capturing all of the topological information that the de Rham cohomology groups capture about $M$, because it is complementary to these groups in a sense.
TennisSteve42
More generally, it now seems reasonable to expect that the differential ideals that you build from PDE's would have something to say about the topology of the corresponding integrable manifold that you mention.
And most importantly, the fact that this is an algebraic structure allows one to study solution sets of PDE's up to diffeomorphism. That is, invariantly.
Also, I forgot to explicitly mention above that $I \cong \text{im}d \oplus \text{im}d^*$.
TennisSteve42
Hope this helps! Also, if anyone more experienced can add to this example or connect it more explicitly to the PDE construction which op mentioned that would be cool 🙂
Useful for Fluid Dynamics and Electro-magnetism
Like the Leray projection, fondamental operator for the study of incompressible fluids
is canonically the same has the Hodge projector on N(d*).
However, the approach given from geometry people only is not that much useful in this case since the decomposition holds only in the Hilbertian sense
and for non-linear PDEs one needs to use Lp- based Sobolev spaces
On the whole space R^n, there is no trouble but the decomposition fails to be topological on Lp for p=1 and p=infty.
But there is a weird issue on the whole space R^n for the decomposition u =dv+d*w, for u in Lp(R^n), 1<p<+\infty
v and w CANNOT be in Lp as well, but dv and d*w are.
However, for smooth manifolds/domains with smooth boundary
everything is fine
the problem is then what happens if we lower the regularity of the boundary, and does it happens for higher order Sobolev spaces.
Also, I know that sometimes it is desirable to study solutions of PDE's up to a group action. If the space has compact quotient under the action, one can study the quotient instead.
This is another thing I am not that much aware of
This is an approach developed by Atiyah to build cohomology groups for non-compact manifolds (dependent upon a group action) using L^2 harmonic forms.
But the machinery here is weird, because one needs von Neumann algebras and von Neumann dimension to define the size of these new cohomology groups. This leads to non-integral betti numbers (even irrational in some cases).
"non-integral betti numbers"
bro wtf
Yeah, it's kind of messed up, and it doesn't generalize to other PDE's other than the equation $\Delta \omega = 0$ to my knowledge. So it's more a topological tool than anything else.
TennisSteve42
Actually, I think he develops something for elliptic operators in general, but I don't know much about that.
@orchid wraith I've read and appreciate your responses, I unfortunately know nothing about topology beyond the standard "donut and ball are topologically different" example
well, I guess I did a bit with homotopy transformations too, but that was all purely applied math stuff, there is a PDE approximation technique called HAM.
based loosely on Gromov's H-Principle
I know my geometry a bit better but it mostly comes from GR background, and Im familiar with forms and Hodge duals etc
Okay, I roughly get the idea of a chain complex for a Homology, and the 2nd exterior derivative always gives 0 is where your composition of sequential groups maps to 0 in the deRham cohomology etc. Is it a cohomology instead of a homology just because forms lie in the cotangent space of the manifold?
Ah, no worries at all. Here's a quick crash course on de Rham cohomology. I have a bit of a backwards understanding myself, because I know very little about ordinary homology.
Recall the fundamental theorem for line integrals in calc III, which says that if you integrate a conservative vector field F$ around a closed loop, you get zero.
TennisSteve42
This is a sort of 3d fundamental theorem of calculus, because as a consequence of this, the integral of $F$ over any path is just the difference of its values at the endpoints.
TennisSteve42
When your space has a hole in it, the fundamental theorem of calculus fails.
Consider $R^2$ without the origin.
TennisSteve42
Then the integral of $-y/(x^2+y^2)dx + x/(x^2+y^2)dy$ around the unit circle is not vanishing. And yet on $R^2 \backslash {(0,0)}$ this differential form is smooth.
TennisSteve42
You can think of de Rham cohomology groups as just the vector space consisting of differential forms like this, whose line integrals along specific paths are nonvanishing.
In this sense, the de Rham cohomology measures the extent to which the fundamental theorm of calculus fails on your manifold.
So, on $R^2$, the de rham cohomology is trivial, because the fundamental theorem of calculus holds.
TennisSteve42
On $R^2 \backslash {(0,0)}, the de Rham cohomology is 1-dimensional, because of the above example, and the fundamental theorem of calculus fails.
In general, if you poke $k$-holes in the plane, the de Rham cohomology will be $k$-dimensional, because there will be a form like the above for each hole.
TennisSteve42
This is only the 1st de Rham cohomology, but it generalizes. Observe that above I just used 1-forms, which can be integrated over paths. In general, the same idea holds for higher de Rham cohomology groups, you're just integrating $k$-forms, and searching for higher dimensional holes in your space. For example, if you consider a ball with a small ball at the center chopped out, any path can still be shrunk to a point in this "3d annulus". But a 2-form, integrated over the "shell" surrounding the hollow center, can detect this 3d hole.
TennisSteve42
To sum up, the basic idea is that you're measuring how badly the fundamental theorem of calculus fails on your manifold to get an idea of how many holes your manifold has.
I think there is some connection to group cohomology which arises from passing from a group to its classifying space. I don't know enough about it to say though.
Ah, sorry I didn't account for this in my exposition. The definition of the $k$-th de Rham cohomology group is take the closed $k$-forms ($d\omega = 0$) modulo the exact $k$-forms ($\omega$ is $d$ of something). In the calc III example I gave above, the form in question is closed but not exact, and thus constitutes a nontrivial element of the first de Rham cohomology.
TennisSteve42
This is slight off-topic, but if you consider a manifold with no holes and homotopy transform it the limit it pinches off into having a hole, then take a manifold with 1 hole and homotopy transform it the limit the hole disappears (basically approach the same "inbetween" manifold from the 2 different topologies) what does that do to the deRham cohomology? Is there some kind of critical point between simply connected and 1 hole?
Smooth homotopies $f$ should induce linear maps $H_{dr}^k(f(M)) \rightarrow H_{dr}^k(M)$ via pullbacks (note the direction of the arrows). So I suppose one could introduce a hole, because then the de Rham cohomology could become larger. However, if two manifolds are homotopy equivalent, then their de Rham cohomologies should be isomorphic.
TennisSteve42
I keep saying "should" because I've never studied the connection to homotopy.
Im using a very layman understanding of the word, that its basically just a smooth transformation that preserves the topology of the manifold (donut into a coffee mug etc.)
If it's invertible (a smooth diffeomorphism), then it will induce an isomorphism of the de Rham cohomologies.
If it's not invertible, and just a smooth map $f:M \rightarrow N$, then there will be linear maps $H_{dr}^k(N) \rightarrow H_{dr}^k(M)$ given by pulling back forms under the map. Indeed, $d$ commutes with taking pullbacks, so this makes sense. Then you could try the rank theorem to get some formula involving the dimensions of the groups. Idk though
TennisSteve42
@astral vine was saying if you get certain properties of the manifold for a differential ideal it creates a lot of difficulties in finding the integral manifolds? Assuming smooth coefficient functions, how general of a method is it for Linear PDEs?
?
It looks like its not 1 particular method, but rather a bunch of special cases where integral manifolds can be found. Also, not every integral manifold is a solution, and has to satisfy additional constraints.
This comment*
I do believe if everything is smooth enough, just localize everything go back on R^n, use Hormander's machinery for Pseudo-differential operators should do the trick, then revert back on your manifold.
the de Rham cohomology is homotopy invariant so it wouldnt change if such a homotopy hypothetically existed: actually the de Rham cohomology is a way to see that such a homotopy can never exist (since the procedure you are describing would in fact change the cohomology)
well the process I desrcibed was 2 different homotopies up to the limit of the same state, I understand the topology of the manifold cant actually change under the rules of a homotopy
the cohomology being homotopy invariant makes sense, thats why there would be no "transition", because it wouldnt change at all.
anyone here knows of a good book on control of PDEs?
Depends on what you are looking into particular.
Curtain and Zwart's book on Infinite Dimensional Linear Systems is a classic text and was used as a reference for Doom's short course on PDE control.
(There seems to be a newer version as well by the same authors, not sure about the differences yet - might be worth checking out).
Old One - https://link.springer.com/book/10.1007/978-1-4612-4224-6
New One - https://link.springer.com/book/10.1007/978-1-0716-0590-5
Be wary though, the resource does expect some prior background in Algebra and Fun.Anal.
The other common reference tends to be this one Bensoussan, Prato, Delfour and Mitter but the prereqs. are more or less similar (It just has a more control-oriented viewpoint with a small review of finite dimensional/ODEs before going to the semigroup theory that's developed in Curtain and Zwart).
https://link.springer.com/book/10.1007/978-0-8176-4581-6
Anything more specific than above leads to research monographs and review papers on the specific subject.
Thanks, I did both in my masters
Fun anal and algebra
This is good, ty
You are welcome!
Do someone know good youtube videos on proper course on calculus of variation? rigorous one at grad level
I dont know of any, but I'm studying the book by rindler which is quite a comphrensive introduction https://link.springer.com/book/10.1007/978-3-319-77637-8
Thank you .. seems good..
Seems it's beginner friendly and pure maths oriented ..but I have to find out
Are you following some syllabus or reading on your own??
reading on my own
i dont understand (b)
What don't you understand. Did you try checking the hint?
i dont understand how to show it applies for all T>0 and how that even relates to the fact that u(s,x)=0 for all s in R
so understand nothing :)
Once you show the hint for T-t, you will be able to change the 0 into a t via some translation substitution on the integral and the T will then function as a s.
what about t=T is that not a problem for the inequality?
It shouldn't be as you're only concerned in the limit.
#book-recommendations message linking here, basically asking if taos pde book is worth reading
It's very worth reading, not just for the dispersive part but also the "high-level" coverage of elementary topics in the first two chapters. For dispersive, it's pretty much a staple.
ah, neat
i better get started with it then
sry for late reply was looking at smth else. so is the argument that after applying (a) you can translate under the integrand of U and it doesnt change the integral because its over R^3, so the inequality still holds? and then by setting t=T-s you get |u(s,x)|=|v_T(t,x)|=< 1/4pi(T-t) U(R^3;T) where the RHS goes to 0 as T-> inf so u(s,x)=0.
Well first the integral is on BT-t but after translating so that the second argument of U is t, you can upper bound the domain by R3
yes thank so much
Im reading about the local regularity of the CR equations on an a.c. manifold and there is a claim that is not making sense to me: so the proper set up is, let S be a riemann surface, V an a.c. manifold with J the a.c. structure, and the CR equations can be written as (i + J(f)) del bar f = (i - J(f)) del f, which is equivalent to del bar f = q(f) del f, where q = (i + J)^-1 (i - J). this source is claiming that by replacing f by x |-> b^-1 f(a x) and q by v |-> q(b v) you can take the norm of q in the C^r topology to be arbitrarily small
but i do not see what choice of b is supposed to shrinkg the norm like this? clearly this replaces q with (i + bJ)^-1(i - bJ), but then if you take b small this just gets close to being 1, so that cannot be the right answer. instead it seems like you want to choose b such that i and bJ get close to each other everywhere on the unit ball (since we are summing the L^infty norms of the derivatives plus a holder piece). but for arbitrary J i see no reason why this should exist?
perhaps you can choose a local form of J for which it does
(if its not clear, here im using i to be the matrix i * id)
Hello, Anyone knows about books, monographs, notes about non autonomous evolution PDEs please? especially the case of non constant domains
Thank you in advance.
what's the difference between this page and the odes and pdes page?
"advanced"
#odes-and-pdes is more like about undergraduate type questions
it concerns basic solving of ODEs, PDEs, "by hands"
and multivariable Calculus.
Here #advanced-pdes is more about fine properties with a more "global" point of view, which involves other subfields of maths such as Functional Analysis, Differential Geometry, Harmonic Analysis etc. Those topics are usually not reached before the end of undergraduate studies/beginning of graduate studies.
The treatment is more theoretical : we usually do not look for, and don't care about, explicit formulas. We check out the sharp regularity of solutions, existence and uniqueness in broader context. (Changing the set/space where you are looking for solutions implicitly changes the equation and its behavior even if it is formally "the same equation")
Somehow it deeply interact with #advanced-analysis since it uses a lot of tools concerned in this channel.
Am I somehow clear ?
For future reference, click on the top on the title of the channel and it'll show you a description.
This makes me the big sad. I love explicit formulas
Any good reference for free boundary things and boundary regularity tech?
I had a course about introduction to PDEs we just did first order PDE: linear, quasi linear, general (hamilton-jacobi). In each exploring the existence and uniqueness of non characteristic cauchy problems. Did the same for wave equations and heat equations. After this course if I want to continue self study and get really into the theory of PDEs what book(s) would you guys recommend me.
or even prereqs books i might need
Evans PDE book
thanks. recommend all problem?
Sure why not
ok i start thank
"Introduction to Partial Differential Equations" by G. Folland, "Partial Differential Equations I" by M. Taylor.
this is so fucked up
im literally studying the same syllabus as you
wanna try to understand the book together lmao
wait are you in my course

whats the first letter of the university you go to
probably not since my syllabus has different format from the pic above
A.
nvm

yeah no distribution theory
Hi. Say I have a diffusion 1D equation, $u_t = D u_{xx}$ for $D > 0$,
over the interval $(0,1)$. I'm thinking a no-flux condition on one end and a null Dirichlet condition on the other end. I'm wondering, if I go ahead and defined the mass of the system as $m(t) = \int_0^u(t,x)dx$ at the time $t$, is it too difficult to deduce a field $F$ such that $m'(t) = F( m(t))$? And have $F$ explicitly given in term of $D$ somehow?
phao
If I set $u_x(t,0) = 0$ and $u(t,1) = 0$, it's easy to show that $m'(t) = Du_x(t,1)$ assuming enough regularity of $u$. That's as far as I could get.
phao
Essentially, I'm wondering if there a way to deduce an ODE for the mass. The idea being that if I only want to know the mass, I'd bypass the PDE, hopefully.
It should be integram from 0 to 1 in here.
What properties you fix on F?
What do you mean? I'd like it to be C¹ if possible.
grisvard has an account of weak variational solutions to the dirichlet and neumann problems belonging to H^2 (for f in L2). is there an analogous account for the robin problem somewhere?
This is problem 3 chapt2 evans, I don't want a solution but can any tell me wether this works for any function f or only the ones that are differentiable
I would first try to prove for continuous f, doesn't look like diff is needed here
it might be true for even weaker funcions like L2 or something
wow i just amazed to see that in measure theory book brownian motion is related to PDEs. man math is so vast and amazing. I'm nobody 
Brownian motion is not only related; it very much is a (solution to) (stochastic) differential equation: it can be used to build a solution for the heat equation quite naturally as the molecular behavior of particles under heat diffusion is precisely the Brownian motion.
that actually makes a lot of sense physically.
but it blow my mind that something stochastic process can be the solution to deterministic PDE
Stochastic thing can be related to deterministic stuff if some operation on the stochastic thing makes it deterministic.
For example, averaging the stochastic behavior of molecular particles gives you a (relatively more) deterministic quantity of temperature.
yeah I know from statistical mechanics. macroscopic property determined by microscopic behaviors. But to see it actually in math is cool. thanks
does anyone have text recomendation on the topic of pdes on graphs?
Could I get some help with this please? I'm asked to solve this transport IVP in three dimension. I'm aware that I'm supposed to solve it using method of characteristics but it just doesn't make any sense to me because the u is inside the divergence. I read this https://math.stackexchange.com/questions/4710174/solve-transport-equation-with-variable-velocity-vx-t that makes some sense but when I try to apply this method to my problem I fail because u(t, x) = (0, x2, x3). How do I get the anti-derivative of this u??
You are given the explicit formula for u. So just plug it in?
The divergence will expand into p(div u) + u dot grad p. Div u you can explicitly calculate and u dot grad p you can write down
You are given the U. It is u(x,y,z) =(0,y,z)
Ok thank you, sorry I realized I forgot that rho is a scalar function and that's why I got stuck.
I have a new question: how does one solve this by characteristics? This is what I tried and I could only get what x+z is but how do I continue to seperate x ? I'm confused..
what I tried
Note that dx/ds= y+z and dz/ds= x-y and dy/ds=y. So
d2x/ds2=dy/ds+dz/ds= y+x-y. This gives you ddx=x which you can explicitly solve.
Hey I need help finding an appropriate stability condition for the 2 dimensional wave equation because Im gonna vary c during simulations
Does anyone know what I did wrong here? I got the answer and verified it and it was off by a factor of x so it doesnt cancel correctly.
I dont understand what is wrong with my process, I've been staring at this for hours. Would appreciate any help ;_;
You cant treat y as a constant and then integrate (imagine y was like sine). The right way to handle the coupled system is to differentiate y twice and make the equation for y purely in terms of y.
this is a problem from evans
i was wondering if the inequality written here is incorect
isn't it suppose to be
u(x/|x|^2)|x|^(2-n) instead of u(x/|x|)|x|^(2-n)
Yeah that looks correct.
You guys have any resources I could look to for the method of characteristics?
Lawrence evans is nice for basics
Does anyone have a good source for proof of kolmogorov equations for multidimensional SDEs? I'm looking at the SABR model and I have no clue how to derive the equations for this, given the correlation between the processes.
Thanks bro, I've been grinding through a few PDE books and feel way less dumb already
has anyone ever heard of a situation where an elliptic differential operator has symmetric second-order components and skew-symmetric first-order components
On the Fourier sides it becomes a symmetric matrix but not Hermitian.
is there a name for this kind of "symmetry" and do we know anything about its spectrum / eigenvalues? do variational methods even work for them?
somehow general Navier-Stokes yields this operator
let's say I have an eikonal equation like u_x^2+u_y^2=u^2 with u(cos(x),sin(x))=1, how do I deal with this type of condition
Actually this is some kind of weighted Hodge Dirac squared system, similar to the Lame system but with additional anisotropy
Shouldn't be too hard to cook a sesquilinear form from which one can inherit the operator.
And then recover the standard spectral properties. Like sectorial etc.
If, instead, by spectral properties you meant to diagonalize the system and to study the behavior of eigen values near "critical Fourier modes", notice that this is usually not that much interesting for heat-like equations, as it seems to be one here if I am not wrong. (it can be meaningful for few selected "concrete" applications, but that's not "that much common")
thanks. Do you have some references for what you are talking about?
it is indeed a heat-like equation because it is a linearization of general Navier-Stokes
I am working on a modification of what is shown in picture (by adding gravity) and I need to know whether there is an eigenvalue with positive real part (which will imply instability)
For linearization of compressible Navier Stokes this does not happen. The spectrum will lie in a Parabola that hits 0. Which does not imply instability or stability.
Adding gravity may change things of course, but it depends on where the gravity term will show up.
The sobolev injections for $H_0^1$ are much different than those for $H^1$?
мир
it's not just compressible navier-stokes
it's compressible navier-stokes-fourier with heat conductivity
and the gravity indeed plays a crucial role in astrophysics. with integration by parts you get a slightly positive term in the end
all the same though, do you have a reference for this thing you were talking about?
Im looking for a class of maps (change of coordinates) that preserve the elliptic operator $\partial_{xx}+\gamma^2 \partial_{yy}$, just like the laplacian is preserved through conformal maps. Is this something that exists?
Sydd
no just take the closure of Ccinfty in the targeted space
Most likely, you would wanna mess with the CR equations to construct a different class of functions that can preserve this. My best guess is that you would wanna put a parameter in one or the equations for CR
In fact, more simply, you can do a scaling in y to recover the laplacian case and then scale back to see the required condition on conformal maps.
Perhaps you mean something like this?
https://www.sciencedirect.com/science/article/pii/S0022039618301852
so the operator is not "symmetric" but it is "maximal accretive" ?
it seems then that I want to know about the "principal" eigenvalue, or at least the eigenvalue with maximal / minimal real part. is there a general principle to get that
I am not sure how useful this will be here but a systematic way of doing this is resolvent estimates (These are also the usual recipe in establishing hydrodynamic stability results in Navier-Stokes).
That, on its own, is mostly a vague buzzword but searching up along with words surrounding your research title should give you a good direction.
sesquilinear forms allow resolvent estimates "almost" for free.
which was the reason I suggested this
I don't think there is an easy way to construct a sesquilinear form in this case. Much easier would be good old energy methods to establish a resolvent estimate.
The symmetries are actually simple for the initial system, however in presence of gravity
maybe eveything will become messy
do you have an example for using resolvent estimates to get principal eigenvalues or stability
"Resolvent estimates for Plane Couette Flow" by Brez E Silva. You should check out the references in the introduction as they go into a much intro dive in to the method.
You can also check "Resolvent Estimates and Quantication of Nonlinear Stability"
oh....
I am guessing you are referring to this
it basically establishes where eigenvalues do not exist (stability)
on the other hand, what I want is the existence of a principal eigenvalue that leads to instability
Ahh okay, yeah these methods work nicely when you wanna prove stability.
For principal eigenvalue I don't think variational method still works since operator is nonsymmetric.
And Max min representation may have trouble with vector valued stuff.
In my situation however, second order components are symmetric while first order components are antisymmetric. This might be graded antisymmetry, or something very close to symmetry. Perhaps a change of variables would yield true symmetry?
But this mostly works when the domain is bounded (implying having discrete spectrum/eigenvalues), for PDEs on unbouded domains such as the whole space, this kind of technique is usually not really efficient.
Oh great. I'm working on a compact manifold with boundary
It's T^2 x [0,d]
as a model for astrophysics
I really need to look into methods people use to derive principal eigenvalues for vector-valued stuff. Is there a place that lists them
What’s a road map for pdes research
I don’t have much course space left in my undergrad due to double majoring in cs, but will be doing a masters (and will self study from books)
Hi can anyone help me interpret this integral?
u is a solution to the wave equation on a hyperbolic manifold of dimension m
im looking for a substitution for y(x) so I can seperate the the x from the 2xy, I've tried y = e^s(x) it almost works but theres an ugly e^s(x) term still remaining which I would like to remove
based on how evans solved the transport equation my guess is to reduce the question down to an ODE via $z(s)$ where $z'(s)=Du(x+sb,t+s)\cdot b+u_t(x+sb,t+s)+cu(x+sb,t+s)=0$
the breadwave
but then if i integrate it i get $u(x+sb,t+s)+\int cu(x+sb,t+s)=0$
the breadwave
which is NASTY
Write down the ODE that $z$ satisfies
L
First try to guess what should be the general solution when b=0. Use this knowledge to reduce down the PDE into the transport PDE solved by Evans
i guess we basically have $Du(x,t)+cu(x,t)$ so uhh
the breadwave
$u(x+sb,t+s)e^{cs}$
the breadwave
Wait Anatole why are you emeritus
T_T
Did u quit?
Because I am no longer an active guy on this server as I used to be.
"very active" role.
Etc.
in this problem in evans do we assume that g(t) is differentiable?
or do we have to?
Hello
In trying to prove the Gagliardo-Niremberg inequality for $\bR^N$: that is, given $p < q < p^$ with $p < N$, hence $p^ = Np/(N-p)$ I get using interpolation, $$|u|_q \leq |u|p^\theta |u|{p^*}^{1-\theta}.$$Now I can use a Sobolev injection so that $$|u|_p \lesssim |u|_p^\theta (|u|_p^p+|\nabla u|_p^p)^{1/p(1-\theta)}.$$How can I continue?
мир
Notice that I cannot bound the p norm since Rn is not bounded (cant use Poincaré)
He usually writes the assumptions at the start of the question section. If not given then just assume integrability
Check if you can bring the powers inside
wdym? I think the result I need is the Sobolev inequality $| \nabla u|_{p^*} \leq |u|_p$
мир
Something like this cannot hold I think. To see this, take a mollification of a bump function, the integral will remain small but the slopes are getting larger and larger
This kind of inequality does not hold ine general unless you are super localized on the Fourier side.
wha
Look at the direction of the sign
...oh my god i was doing problems from the 1st edition instead of the 2nd edition...
i still require ideas on how to tackle this
i know $u(0)$ basically reduces to $-\int_{\partial U}g(y)\frac{\partial G}{\partial\nu}(0,y)dS+\int_Uf(y)G(0,y)dy$
the breadwave
This problem doesn’t require you to use the Greens function
Let phi(s) be the average value of u on the boundary of the ball of radius s centered at 0. Calculate phi’(s) like in the text. Then use the fundamental theorem of calculus to get a formula for phi(r) - phi(s) and send s to 0
Without context when people say boundary conditions do they mean dirichlet
what is $H^2$ in terms of polar coordinates?
In cartesian you can have
$$H^2={u\in L^2:|: D^{\alpha}u\in L^2, \quad |\alpha|\leq 2}$$
but if i wanted to check if $u(r,\theta)\in H^2(\Omega)$ for some polar region $\Omega$, how do I check this?
ansh
if the region $\Omega$ is a positive distance from $0$, then in terms of polar coordinates, $H^2$ has the same formula, where $D^\alpha$ should be interpreted as with respect to the polar coordinates.
L
You'd also want boundedness of the domain. Otherwise in general you will need to replace Dx and Dy with Dr and (1/r)Dtheta.
Oh look grumpy catvman
why 35 and 36 is required to conclude 38 is valid for any $v \in W_{0}^{1, q}(U)$. Couldn't understand why checking bound of DL helps
tryingmaths

Wha
