#advanced-pdes
1 messages · Page 15 of 1
Dying of laughter I assume?
Yesn but it gives you the function without a proof
something de rire I'm sure
That's just the second example right?
"mort de rire", "péter de rire"
The one that's something like unbounded in any open set
I've been meaning to
I think the nice thing about Evans is that there a clearly detailed references if you don't follow
I no longer mean to
At the end of each chapter
My profs lecture notes were really good for the chapters 5-7 stuff, but there was no homework so none of it stuck
I lied, 6 pages long
My one hang-up with Evans (so far) is that for the heat equation mean value theorem it has this bizarre integral that's Just. Inscrutable.
Like, in the middle of the proof
And it just tells you to sort of accept it as a fact of life
the one that evaluates to 4?
Yeah the one that's a quotient of distances in the heat ball
Distance in time and distance in space divided, iirc
The page please ? I have the book in my hands right now
54
Page 54 in my PC version
in the new one too
I've actually got it right besides me too and it's 54 in the new one yeah
I timidly tried to tackle that integral for about fifteen minutes before noping right out
I looked it up when I went through this
it was much longer than I had expected
It's not an especially important part of the proof, mind
I do a bunch of parabolic equations, even with Laplacian, and I never use this result
If you can prove it converges then the gist of the mean value theorem still applies, you just don't know what constant to multiply the integral by
I even forget it exists
Have you actually worked it out
I kinda just convinced myself it should be true
and moved on w/ my life
that's kind of annoying
I remember doing the log log 1 + 1/|x| problem on Math Stack
I ended up answering my own question
The only real good part of Evans is between pages 435-451

Nope
Do I have to get the book out now
Made a half-hearted attempt, quickly convinced myself it wasn't worth it
I don't think I could've figured it out
Ok I definitely couldn't have figured it out
bdvanced???
a step beyond advanced
eddvanced-pdes soon
bdvanced stands for?
ODE -> PDE -> QDE
like advanced pdes but nami is insecure about using the letter a too many times
Where’d my bdvanced-pdes go 
cope
Yeah sure, what are you confused about in these topics
well whats your interpretation of it
sure thats a specific case
so we are working a bit more generally, in a normed space. a norm can come from an inner product but a normed space doesnt need to have an inner product.
but the idea is correct, i am defining this convergence to be if |f_n(x)-f(x)| approaches 0
well let me think of an example
like you want the norm of f-f_n
which is like, the series with terms after n
so you would usually wanna show that part goes to 0 somehow
right so you can actually try computing this yourself
define f_k to be the partial sum upto k
try computing or bounding f-f_k
lets use k here since they are using n to index
yeah endgoal is to see what happens as n-> infty
but first using the L^2 norm ig whats |f-f_k|
yeah I am assuming thats the norm you want
yeah
fourier series is kind of a statement about L^2 of periodic functions
you can but you dont need to, just for f-f_k is good enough
yeah just plug it in and do the integral
uh thats a bit hard for me to read
but i think you made a mistake there
the basic idea should be that $f-f_k = \sum_{n>k} \dfrac{(-1)^n}{n} \sin(nx)$
JohnTheCutiePie
so $(f-f_k)^2 = \sum_{n,m>k} \dfrac{(-1)^{n+m}}{nm} \sin(nx)\sin(mx)$
JohnTheCutiePie
and so $\int_{-\pi}^\pi (f-f_k)^2 \dd{x} = \sum_{n,m>k} \dfrac{(-1)^{n+m}}{nm} \int_{-\pi}^\pi \sin(nx)\sin(mx) \dd{x}$
JohnTheCutiePie
$= 2\pi \sum_{n>k} \dfrac{1}{n^2}$
JohnTheCutiePie
(using orthogonality of the sines in the last line)
and this is known to go to zero
this ended up working out nicely but thats kinda the idea, usually you will have to do more bounding and stuff but you just wanna show it goes to 0
yeah
the x is in the arguement of sin right
but once you integrate it the x dissapears
im defining
$f_k(x) = -2\sum_{n=1}^k \dfrac{(-1)^n}{n}\sin(nx)$
JohnTheCutiePie
i probably lost a few constants in the computation but those dont matter
do you mean how i just wrote it as f-f_k? thats just to shorten notation
i do mean f(x)-f_k (x)
why?
oh
right so i just wrote f as the infinite series
hmm maybe this isnt fully logically sound
ok right so i guess we know f is L^2 integrable (when you write it as that sum) and thats really all you need to show that sum converges to x
do it for the infinite series
to confirm it converges
yeah
and fourier series tells you that since it converges, it must coverge to x
(as the coefficients match up etc)
anyhow i think we got a bit off track with this example
like uh main point was
ok this is a computation in a specific example, but this is what it means to converge in norm
(which in this case is the L^2 norm)
also another thing i should mention is that L^2 is a complete space
so you can also use the cauchy criterion to see if a series converges
in this case i saw the computation was easy enough so i didnt go through that
yeah that is to say its something that converges in L^2
also i feel like your class is skipping a lot of details oof
L^2 is probably the most used hilbert space (thats not finite dimensional) but its certainly not the only
also erm do you guys have access to the lebesgue integral?
yeah you cannot really define L^2 without it
you can define a space of square riemann-integrable functions
but its not as nice
for instance its not complete under the L^2 norm topology then
well i guess for the fourier case, you can just show the sequence f_n itself converges, and then since you obtained it as the fourier series of some function f that is what they converge to
idk how true this is but feels true
sure i have seen them used a lot.
but,
i dont know how important they are for your class
also like, this is probably getting too far afield for me, i was kinda planning on explaining theoritically things like hilbert space. I am not that comfortable with like PDE computations and applications so probably not the best person to ask
you could probably search up some uses in physics if you want motivation
i remember using these quite a bit when i did some physics classes
phi_k?
so in general fourier series is like, finding an orthonormal basis for space of square integrable functions
for periodic functions this is sin and cosine
but you can ask about different things too right
same things, sin and cosine can be written interms of those
if you think about it periodic functions are like, functions on the circle right
you might ask about functions on the sphere for example
then L^2 decomposes into these things called spherical harmonics
if you have heard of those
well you change the e^(ikm) with the appropriate basis
but yeah
yeah cause otherwise |f|^2 doesnt make sense right
L^2 is kind of a specail space in that it not only has a norm
but an inner product
this is why you can do these nice things like orthonormal bases etc
inner product is as you have seen
<f,g> = int_(-pi)^pi f(x) bar(g(x)) dx
give or take a constant
and the norm comes from this, i.e
|f|^2 = <f,f>
.
waving my hands wildly, maybe you find it more recognizable when comparing it to the dot product between vectors, which is also an inner products
and it behaves much in the same way
like $u \cdot v = \sum_{n=1}^N v_n^* u_n$
bar is just when you have complex stuff
Edd
use an asterisk for complex conjugate if you prefer 😛
anyway, if you wave your hands wildly and multiply inside the sum by a \Delta_n and take the limit as \Delta_n goes to 0, this is kinda like an integral
you can probably cook up an argument based on the basis being orthonormal and cauchy schwarz
the d_k are the weights of a linear combination
say you put your phi_k in a vector, call it v, and we have some weights for a linear combination, call them w
then v dot w is a linear combination of the elements in v
it's telling you there is a set of weights w that are optimal in the least squares sense
and these weights are precisely the c_k they defined above
sure, that's what this is telling you
the basis is orthonormal, shouldn't matter
the theorem as stated is independent of what n is
it's telling you it's true for any n
i would suggest to review linear algebra and relate it to that
For this, I just set $V=\Lambda(S)$ and solve for $u$ then set $\tau=0$ right?
Sam W
Does anyone know any reference to inequalities for fractional Laplacians, maybe sth that would look a bit like $|(1 - \Delta)^{\frac{s}{2}} (\psi^3) |{L^2} \lesssim | \psi^2|{L^2} |(1 - \Delta)^{\frac{s}{2}} \psi|_{L^2}$
Golol
@broken sapphire Do you know what an orthogonal projection is? It is elementary to show that the orthogonal projection (if it exists) gives the best approximation.
Why is right angle italicized
Can someone please explain this
How is this integration by parts
He just took the derivative of both functions independently wtfffff
He differentiated under the integral in the first line of the "integration by parts" part
So he just took the derivative of the first function with respect to epsilon (I don’t know what that Greek letter is) and then took the derivative with respect to x of f(x)?
In the very first line he did $\partial_\xi \int = \int \partial_\xi$
IlIIllIIIlllIIIIllll
the second line is just algebra
no
the first equality is $\partial\xi \int = \int \partial\xi$. The second equality is just algebra, nothing fancy.
IlIIllIIIlllIIIIllll
The third is from integration by parts
I’m just confused because If he is taking the partial with respect to epsilon then why is that 2 alpha coming out
expand out the $\frac{d}{dx}e^{-\alpha x^2}$
IlIIllIIIlllIIIIllll
Yeah
So what I wrote is exactly what he did
He took the derivative of the first function with respect to epsilon and he took the derivative of the second function with resoext to x
Respect
Ugh
WAIT I GET ITTTTT
Omg
Thank you
What he's really deriving here are more general identities that hold for "rapidly decaying" functions.
He didn’t take the derivative of that he just wrote it like that so it would cancel out omg
Yeah
So in this case that e ^ - alpha x ^2 is like a function that’s super useful here
Like it just works good
namely $F(\partial_{x}f) = i \xi F(f)$ and $F(xf) = i\partial_{\xi}F(f)$.
IlIIllIIIlllIIIIllll
Valid for $f \in \mathcal{S}(\mathbb{R})$
IlIIllIIIlllIIIIllll
Its $\xi$ not $\varepsilon$
IlIIllIIIlllIIIIllll
It's integration by parts.
What the author is doing is taking the ode $f'(x) = -2\alpha x f(x)$ and taking the Fourier transform of both sides, using the identities established for rapidly decaying functions.
IlIIllIIIlllIIIIllll
To get $F(f') = -2\alpha F(xf)$.
IlIIllIIIlllIIIIllll
It looks like the $a_n$ are the Fourier coefficients on the piecewise function on the right side.
What is h again?
fajitas
Apologies I'll move it there!

Zworski has a book right
zworski's book is very popular
definitely don't use monsterbook lol
yes the books you mention are all good, zworski is very good, I learned a lot from Martinez as well
ok
is Maximum principle for wave equation a real thing?
\begin{gather*}
\laplacian u = 0 \
u(0, y) = 0
\end{gather*}
on the domain $\Omega = {(x, y) | x < 0}$ then $u\equiv 0$. This is false I can see as $xy, xy+x$ also satisfies the PDE but why is it?
Ryu
How do you prescribe an initial condition to the 2D wave equation given that you want a specific displacement on a specific point at a specific time? This sound like an inverse problem which I not know how to do.
by 2D i mean rectangular membrane
run the wave eq in reverse 
hi guys, anyone know an example of a function that is in L^2(R^n) but not in L^1(R^n)?
1/x, modify it a little
thanks!
Seems to be true after some computations
Can anyone help me figure out what's the best regularity I can get for a function $u \in H^1_0 (\Omega)$ such that $\Delta u \in L^2 (\Omega)$ where $\Omega$ is a bounded subset of $\mathbb{R}^n$ with smooth boundary?
Mikahopff
Thank you in advance.
H3/2
Nothing better
for Lipschitz boundary
which is still "smooth enough" for some people
If by smooth you mean C infty
then H² is exactly what you get
Finally if by smooth you mean something else, I can not help you anymore
Hi. I'm trying to prescribe an initial condition to the 2D wave equation such that u(1/2,1,10)=1/3. I got to this point but I don't know how to proceed in recovering f(x,y). Any idea?
<@&286206848099549185>
no one is actually answering me. 🥲
No one is obligated to answer
Thank you so much, can you mention a reference where I can find the details please?
Gilbarg Trudinger, or Grisvard's Elliptic Equations in non-smooth domains
For sharp H3/2 regularity in the case of Lipschitz domains, this is a very technical result
No one is obligated to give you an answer
Exactly what I was currently writing
to get back on H3/2 regularity for the Dirichlet Laplacian in bounded Lipschitz domains, this is a very hard result, which can be only found in hard papers
mainly published in 90's
the generic Lp case was done by Jerison and Kenig
Not so hard
but needs a lot of knowledge to deal with it
you mean that's less hard than the L^2 case?
The involved tehcnics mades it more clear than the first sharp L² result iirc
I have Jersion and Kenig's paper just in my hands right now
that's surprising at the first glimpse because of the tools that we have in these L^2 related Hilbert spaces
That's very nice, do you mind sharing it or at least its title
"The inhomogeneous Dirichlet problem in Lipschitz domains"
Thank you so much
but be careful it needs A LOT of knowledge
and being well aware about the content in the references therein
I may be reading from the books, the paper is feed my curiosity somehow
Consider the matrix A = (0 1; 0 0), a 2x2 jordan block. If we had an inner product which made A self adjoint, then this would imply that A has 2 eigenvectors which are orthogonal for this inner product (by the spectral theorem). But it's not true, A has only one linearly independent eigenvector.
I think this is ok
You can probably look at, say, differentiation on some space and get the same thing.
every self adjoint operator have a spectrum contained in the real line
Hello, is there any function in $L^2(\mathbb{R})$ that's not vanishing at infinity?
Mikahopff
Here's an option, the indicator of the set $\bigcup_{n=1}^\infty (n - 1/n^2, n)$
Kanga Gang Drug Mule Ryc
isn't this zero a.e?
Actually even if we ask that the function is smooth we can find some examples
Yep
You can turn what I said into smooth bumps that get thinner and thinner
If you want globally lipschitz, or even uniformly continuous, I think you're going to run into trouble though.
Is the initial conditions imposed on the wave equation over a vibrating circular membrane are both (i.e. initial displacement and velocity) zero, does this mean that the solution is trivial?
use the energy of the equation
Assume you have a solution
ask it to be $H²_{t,loc}L²_{x,loc}$ and $L²_{t,loc}H²_{x,loc}$
okay okay
Anatole
the energy of the wave equation is nothing but $$E(t):=\int_{\Omega} |\partial_t u(t,x)|^2+ |\partial_x u(t,x)|^2 \dd x$$
Anatole
So I was reading on the variational form of Poisson's equation from a functional analysis book. Why does the second integral in the functional become a surface integral? It remains a volume integral when I try to do the substitution
This is the original functional
It should probably still be over Omega
Unless f is like
A distribution supported on the boundary or something
Yeah to get the right pde at the end it def needs to be all over Omega
The boubdary have 0 measure with respect to the Lebesgue measure
So I think too, that the integration domain is Omega
besides, aren't you missing a 1/2 term next to the grad u integral?
@exotic spruce What is that supposed to mean?
looks fancy
Lmao
I don’t think it’s right. Stochastic differentials with trig are almost never solvable
isnt it just differentiate u-g(...) wrt u?
Wrt to x
Hello, are there any video lectures about the Control theory of PDEs please?
how do you get that 1 then?
Hello friends
Why is $\int_0^1\frac{1}{r(1+r)^n\log(1+\frac1r)^n}dr$ finite for $n>1$?
陆景和
The 1+r is not so important because it's bounded above and below I suppose
But the other terms remain

It's an integral that comes from a sobolev space question
Ryc knows
change of variable u= 1/r
so it suffices to look at the integrability of u^n/(u(1+u)^n log(1+u)^n) near infty
Since n>=2 this is obvisouly true being aware of bertrand criteria for integrals
I remember that
Lexicographic order...
isn't this like how the sum of 1/(n (log n)^p) is finite for p > 1
and you prove it by doing the thing where you sub in 2^n and then multiply by 2^n to get 1/n^p
here if you have 1/(u log(u)^n) you do e^x = u and then get 1/x^n and that's it
Hello everyone, does anyone knows a light introduction to microlocal analysis just to know what is it about and how it is used please?
Quantum Mechanics books for Mathematicians are quite good
I never finished the second one
but its firts chapters are good and readable
But #book-recommendations was a better place to ask
@astral vine Thank you so much, I didn't post there because I was looking for some simple explanations maybe. But books recommendation is really good.
Thank you so much.
Microlocal Analysis is deeply related to Pseudo-Differential operator theory and Quantum Mechanics
The main ideas comes from studying operators given by pseudo differential operators with a paramater h near 0 (the Planck constant in Physics), the simplest one is hLaplacian + potential, but there is way more than this. The better to answer your question is probably @quaint herald .
@astral vine Thank you so much
@dense hamlet okay so like
Let X be a smooth variety over C and let f be a non-invertible regular function on X.
Theorem: there exists a polynomial b(s) in C[s] and a polynomial P(s) in D_X[s] whose coefficients are differential operators on X, such that P(s)f^{s+1}=b(s)f^s in the D_X-module O_X[s,1/f]f^s.
The polynomials b(s) satisfying the above identity form an ideal in C[s], the monic generator of this ideal is the Bernstein-Sato polynomial of f.
Example: X=A^n, f(z_1,...,z_n)=z^2_1+...+z^2_n. Then we have
∑_i ∂^2_i f^{s+1}=4(s+1)(s+n/2)f^s
so b(s)=(s+1)(s+n/2)
Example: X=A^2, f(x,y)=x^2+y^3. Then we have b(s)=(s+1)(s+5/6)(s+7/6)
etc etc
they are kinda hard to compute in general
I'll explain in a second how you can prove their existence using holonomic D-modules, but first, what can you do with them
Example: if f(z) is a non-negative polynomial in C[z_1,...,z_n] then f^s only makes sense for Re(s)>0. We can analytically continue f^s to a distribution valued function in all s using the functional equation
f^s=(P(s)/b(s))f^{s+1}
and this has poles exactly at the zeros of b(s+n) for integers n≥0
Okay yeah that's what I was wondering about, what s here was lol
Example: Malgrange–Ehrenpreis says that every differential operator with constant coefficients has a Green's function, that is P(∂_1,...,∂_n)u(z)=δ(z) has a distribution valued solution. Here is a two-line effective proof using Bernstein-Sato polynomials
by taking Fourier transforms of both sides this amounts to showing that every polynomial f(z) has a distribution valued inverse g(z); without loss of generality we may assume that f(z) is non-negative, in which case the distribution valued inverse g(z) is the constant term of the Laurent expansion of f(z)^s at s=-1 which can be computed using the Bernstein-Sato functional equation
That's pretty cool huh
yea this absolutely rocks
So here's the proof: the idea is to cook up a holonomic D-module that governs this situation, the holonomic property means the D-module has finite length so chains of submodules stabilize, and this will give you the b(s) we're after
let j:U->X be the canonical inclusion with U=X-Z(f). Let X_s and U_s be the base change of X and U from C to C(s), with corresponding inclusion j_s:U_s->X_s. We have respectively D_X_s=D_X⊗C(s) and D_U_s=D_U⊗C(s)
consider the D_U_s-module M=O_U_s f^s where the action of derivations is given D(gf^s)=D(g)f^s+sg(D(f)/f)f^s (the division of f is fine, as it's invertible on U_s)
Then M is a holonomic D_U_s-module (to see this consider filtration F_fM=O_U_s f^s for k≥0 and F_kM=0 for k<0, then Ch(M)=Ch(O_U)_s=(T*U)_s so this filtration is good hence M is holonomic)
now consider the D_X_s-module N=D_X_s f^s (which is the +-pushforward of M along j_s)
Then N is a holonomic D_X_s-module (to see this consider the maximal holonomic D_X_s-submodule N' of N which is compatible with restriction to open subsets, then N|U_s is a D_U_s-submodule of M and hence N'|U_s=N|U_s. So we have an exact sequence 0->N'->N->Q->0 where Q is supported on Z(f)_s; for the section f^s of N, there exists k≥0 such that f^kf^s is in N', so D_X_s f^kf^s is a D_X_s-submodule of N' hence holonomic, but we have an isomorphism of D_X_s-modules N=D_X_s f^kf^s sending P(s)f^s to P(s+k)f^kf^s hence N is holonomic)
Now consider the chain of D_X_s-submodules ...≤D_X_s f^2f^s≤D_X_s ff^s≤D_X_s f^s. Since D_X_s f^s is holonomic it is of finite length, hence this chain stabilizes. It follows that there exists an integer m≥0 such that f^mf^s is in D_X_s f^{m+1}f^s and hence f^s is in D_X_s ff^s, so there exists Q(s) in D_X_s such that f^s=Q(s)ff^s.
Now clear denominators and write Q(s)=P(s)/b(s) with P(s) in D_X[s] and b(s) in C(s). Then b(s)f^s=P(s)ff^s and we are done.

one can play around with D-modules more and show Kashiwara's theorem that the roots of Bernstein-Sato polynomials are all negative rational numbers
One last example application: the analytic continuation of all Archimedean zeta functions
Let f:R^n->R be continuous with f(x)>0 for all x in R^n and let φ:R^n->C be continuous and compactly supported. Consider the Archimedean zeta function
Z_φ(s)=∫_R^n f(x)^sφ(x)dx
basic complex analysis shows that Z_φ(s) is analytic on the right half plane. The claim is that this admits an analytic continuation to a meromorphic function on C whose poles are of the form a-n where a is a root of the Bernstein-Sato polynomial of f and m≥0; in particular the poles are all negative rational numbers
take H_m={Re(s)>-m}. We're already analytic on H_0, the Bernstein-Sato functional equation shows that you can extend this to a meromorphic function on all H_m by induction on m≥0, and the functional equation + Kashiwara's theorem gives you the required pole structure
😵💫

nice maths
just to clarify
in method of characterstics is it possible that for some x in the interior of U no characteristics lines from the boundary reach the point?
Yes
You can see with this burgers in 1d with correctly chosen initial data
You get something called a rarefaction wave
I see ty
what does he mean exactly with this regularizing effect
Because the heat equation have fully smooth solutions on (0,+oo)x R^n
Kruskov trick yeay
if f’(x) is piecewise smooth and the fourier series is continuous, then you have term by term differentiability iirc
for the fourier series to be continuous, you need f to be continuous on [-L,L] and \hat{f}(-L)=\hat{f}(L) where L is the period
yes, and iirc can be approximated(?) by C^1 functions on (-L,L) [check the definition, i don’t remember]
lipschitz > uniform
there are uniformly continuous functions that are not lipschitz. Take \sqrt{|x|}
ah, it’s not guaranteed to have existence, even take a holder continuous x^(1/2)
wait this is existence not uniqueness
give me a sec
iirc the proof of picard’s theorem relies on the contraction mapping theorem
don’t really get it from the problem or you don’t get how it gets you local/global existence
ohh i see
yes, it’s lipschitz continuous on any finite interval, so on a finite interval (which you can make however big), you have existence
yes, if what you’re saying is that for all $x_0\in \R^n$
[x(t)=x_0+\int_0^t f(s,x(s))ds]
is unique for all $t\in \R$
kirby
i messed up the quantifiers
but that’s beside the point i’m on my phone
yes iirc Any uniformly continuous function on R is lipschitz continuous on a finite interval [you should probably prove this to verify]
rectangle is an interval in R^2
the ode is nonautonomous (i.e. it is of form f(t,x) instead of f(x)) all that matters is its spatial component is lipschitz wrt x for picards
okay so on the interval [a,b], you have lipschitz, so existence and uniqueness is achieved by picard’s theorem
of course show that to be the case
local lipschitz means you have global uniqueness, but not necessarily global solutions (existence)
i’m not entirely sure what you’re meaning by global, like just with a domain T = [0,infty)? you will have that.
now, local existence will allow you to kind of extend the reach you have, but there are some conditions for this that i forget
all of this reminding me to go over this part of my odes course again in my study for my final next week bc i am not doing a good job explaining this oops
yes
to clear my unfinished ideas:
if |f(t,x)|<g(x) for some g such that int_x0^infty dx/g(x)=infty, you have global existence
here are my lecture slides regarding locally lipschitz functions
i don’t think so?
the requirement is for your f to be lipschitz for picard’s
yea, anyway i should probably sleep before i become even more wrong/nonsensical lmao
lipschitz, uniform continuity gives you locally lipschitz if the derivative is bounded in an interval (i forgot that part)
small question: is Lp space dense in the Sobolev space?
$L^p(\mathbb{R}^n)$ is not contained in $H^{1, p}(\mathbb{R}^n)$
IlIIllIIIlllIIIIllll
Ohhh haha thanks! lmao. I was having a problem writing the proof that C^infty with compact support is dense in H^1,p with compact support so I was thinking of using Lp spaces lmao
Convolution
oh so do I use mollifers then?
Anyone can enlighten me about the ill-posedness of the wave equation in L^p spaces for P different than 2, please?
is this R the propagation speed of hamilton-jacobi
or maybe has something to do with it
because this cone definitely looks like the one used with wave equation in energy methods
The Lebesgue spaces with exponent different than 2, or any other spaces that you know about
I would love to know about whatever results you know about
but based on what I have heard, this is established on bounded domains at least
Find the solution to the initial value problem for the Schrodinger equation $u_t = iu_{xx}$, $x \in \mathbb{R}$, $u(x,0) = e^{-x^2}.$
Dpao
this showed up in my complex analysis pset and I have no idea how to do it
does it require any outside knoweldge? I found this https://www.physics.drexel.edu/~vogeley/Phys326/fourier.pdf
Fourier Transform seems to work here,
even semigroups theory if you are familiar with it
can you get that just from $u_t = iu_{xx}$ and $u(x,0) = e^{-x^2}$ or do you need other stuff
I tried something like this which maybe gives you coefficents for the wave function but I dont know anything about mechanics and its entirely outside the scope of the class
\begin{align*}
f(\xi)&=\frac{1}{2\pi}\int_\mathbb{R} u(x,0)e^{-i\xi x}dx\
&=\frac{1}{2\pi}\int_\mathbb{R} e^{-x^2}e^{-i\xi x}dx\
&=\frac{1}{2\pi}\lim_{h\to\infty}\int_{-h}^{h}e^{-x (x +i \xi)}dx\
&=\frac{1}{2\pi}\lim_{h\to\infty}\Bigr[\frac{1}{2} \sqrt{\pi } e^{-\frac{\xi ^2}{4}} \left(\text{erf} \left(x+\frac{i \xi }{2}\right)\right)\Bigr]_{-h}^{h} \text{ error func. }\pm 1\text{ resp. at }\pm\infty\
&=\frac{1}{4\sqrt{\pi}}[ e^{-\frac{\xi ^2}{4}}(1-(-1))]\
&=\frac{e^{-\frac{\xi ^2}{4}}}{2\sqrt{\pi}}
\end{align}
Dpao
Can anyone pls tell me if this is possible? If not why? If yes how?
Please feel free to ping me if any of you has an answer
The question is: is it possible to integrate like that?
$\int u du=?$
Dpao
ブラボー
Can you please tell me how is it meaningless? If you don't mind of course.
That notation stands for partial derivative if I'm not mistaken
No.
Then pls tell me what's the symbol for partial derivative?
$\partial$
Anatole
ブラボー
Is that possible?
Thanks
Did I say something weird ?
Wait what?
I'm not going into the notations I'm finding the existence of a mathematical equation that is absurd but it should exist. But it doesn't.
If we can partially differentiate, we should be able to partially integrate as well that's what I'm proposing. It's the why and how that's troubling me. Maybe my basics are weak. I'm definitely wrong but i could be right. Idk. But it's just a theoretical question.
Ok I'm new here thanks
"partial integration" is just denoted with a d whatever variable
denoting partial derivatives differently is a stupid historical holdover
and was always a mistake
But why if you could give me an explanation
Kanga Gang Drug Mule Ryc
No they don't
you just only use the first one when there are other variables
for no reason
well, they both mean nothing at all
there is no real explanation
both of them are just a bunch of symbols that appear as part of two notations
because integral over many variable works roughly as if you fixed all the other variable, and perform a one variable integration
that's what says the Fubini Theorem
No they don't. It may look the same but they have different purposes.

Bro
alright
in differential geometry, the first one describes a vector field while the second describes a differential form
Did you ever learned, measure theory, or a real definition of the Riemann integral ?
Bro don't
please
save his soul
in calculus/analysis, they mean the exact same thing
except for the fact that the ambient space of one is one dimensional, and of the other isnt
I'm absolutely fine.
When you're integrating something you're using a measure, depending on how you're working, and how the mathematical objects you're using, you have to use this measure if you're using measure theory.
Writing $d\lambda(x)$ is just a notation saying you're integrating with respect to a certain mesure.
Anarchy
That's a measure theory explanation
anyway this is just notation and is completely nonmathematical, it's like arguing with someone about semantics
It is not semantics I'm talking about like what....
Have you done method of separation of variables?
My point is it's not semantics, partial derivative and ordinary derivative mean differently although they are the "same"
but the d in integration IS NOT FUCKING RELATED to derivatives
What you're not understanding is that integrating partially doesn't have any meaning
when you integrate, you integrate a function of variables, the $d$ only relates to which variable or thing you're integrating for
Anarchy
Ok.
wdym? if you want we can continue this in #calculus or somewhere more relevant
i feel like this discussion is outside the scope of a pdes channel
Which channel do I go to?
Ok
Sorry I losed my patience
How can I use mollifiers to prove this one? I'm not very familiar on how to do this one 😦
doesn't look like you need mollifiers
i would just take derivatives and just estimate the L^p norms
No mollifies, direct computation of W^1,p norm
Oh like bound the function with some other familiar functions?
Just compute the Lp norm of u and u’
Okay thank you so much! Will try this one. So the L^inf case is just noting that it's not bounded?
Okay thank you!
regarding this, I'm not sure how I can estimate the integral of |log(log(2/|x|))|^p
it has a singularity at 0 right?
try a taylor polynomial or something
Poincare inequality
cause this is log(a + log(x)) - log(a) with a = log(2)
Ohhh okay so I only need to compute for the p norm of the derivative?
Ohhh yeah this also makes sense thanks I'll also try this
Yes
thanks!
does my weak formulation look correct?
Hi I tried doing this and got this
Not sure how to say it is finite
Ohhh thanks! Will read this
I had a similar homework problem and it boiled down to this so I would not say that it's overkill
Even after you switch to radial coordinates you still have some r*log(r)^n terms in the denominator
yeah I tried this too and it was difficult lmao
like u=log(2/|x|)?
U = log(r)
Something like that
Then it should end up being roughly the integral of 1/u^n on (1,infty)
And n>=2 so it converges nicely
oh I will try this! That might be interesting. Thanks!
the gradient is false, it is not even a vector
It’s almost correct at least
Should be x/|x| instead of |x|/x (second thing doesn’t make sense)
Thanks for pointing out. Let me fix it
I have the result if you wanna check it
Yes please!
@astral vine I submitted my work but I'm really curious what the "correct" way of doing this problem is so whenever you have the time 👌🏻
$$\nabla u(x) = \frac{x}{\frac{|x|^2}{2} \log\left(\frac{|x|}{2}\right)}$$
Anatole
so $$|\nabla u(x)| = \left|\frac{1}{\frac{|x|}{2} \log\left(\frac{|x|}{2}\right)}\right| = \frac{1}{\frac{|x|}{2} \left|\log\left(\frac{|x|}{2}\right)\right|}$$
Anatole
then using polar coordinates you will obtain a one variable integral about the radius times a constant which nothing but the area of the unit sphere of R^n
Make a change of variable 1/r
and use the Bertrand Criteria for integrals
Yes I said bertrand integrals yesterday
No worries
More like
Vindication
Because young_smasher said it wasn't necessary
I do not know how to justify finiteness without it to be honest
Thank you!!!
I remember running into a characterization of when and why the Green's function for an elliptic operator is singular. Anyone know what I'm talking about? It's on the tip of my tongue so to speak but I can't remember what I'm thinking of.
Or rather, that it's always a singular kernel in order to attain some well-behavedness in solution.
Iirc this is mentioned several times in Mitrea family's work
But I can't tell you where to find a explicit reference about it

I think this deeply related to Pseudodifferential Calculus
Me neither, but I need those for my PhD thesis
sadly
Unsurprising
Absolutely hahaha
Iirc the main way to deals with singular Kernel of elliptic operators with not so bad coefficients (Smooth is the best obviously), is to get the problem on the whole space, then introduce the Schwartz Kernel which will be singular thanks to Hormander and Calderon-Zygmund theory
Then you get back on open set considering only boundary (layer) operator
I am not sure about it
but
This is well known but I don't know any good synthetic reference about it
Maybe @quaint herald can help us please ?
that description does sound familiar
if you find a reference or gomez pops by id appreciate a ping, thanks for stretching your brain for me 
@junior bloom @astral vine
Here is a rough explanation, not sure if it answers your question entirely but hopefully it helps.
Suppose P is an elliptic differential operator, say of positive integer order k, then the pseudodifferential calculus yields a "parametrix" of order -k, that is an operator Q such that PQ-I and QP-I are smoothing, a.k.a residual a.k.a pseudodifferential operators of every negative integer order. An equivalent characterisation is having smooth Schwartz kernel. If you haven't worked with these things before, think of them as "approximate inverses" (they are incredibly useful and their existence is one of the most immediate and powerful benefits of entering the world of pseudodifferential operators).
If G is a Green's function for P, then convolution by G is a linear op L so that PL=I, hence P(Q-L)=(I+R)-I=R is residual, where Q is a parametrix for P. Applying Q from the left to this equation tells you that in fact Q-L must be residual, i.e. L differs from Q by an operator with smooth kernel. Since pseudodifferential operators (in particular Q) have singularities only on the diagonal x=y, this tells you that the same must be true of L. Moreover, it must have SOME singularities, as otherwise it would be smoothing which would force I=PL to be smoothing as well.
Oh I suppose I should explain the name smoothing, it means they gain arbitrarily many orders of regularity. So they map distributions to smooth functions (without being too specific about the class of distributions because this and the pseudo calculus itself depends on the geometric setup a little).
Thank you very much for this explanation, moreover TeaForTwo and I asked for a synthetic reference, do you know one that you particularly love ?
not really for this specific question, but to learn about pseudodifferential operators in general: grigis-sjostrand is great, treves, shubin also.
not to mention hormanders 4 volumes, but they get harder to read as you go further along
if you had to only open one, then grigis-sjostrand is probably a good choice, but they have all taught me things.
Thank you again. I'll probably take look on it later, since this result is always used without any mention.

Not familiar enough with PDOs to grokk this explanation but I know what I need to read up on.
@junior bloom The simple idea they are based on is that you can write constant coefficient differential operators of order k on R^n in the form: fourier transform -> multiply by polynomial -> inverse fourier transform. Replacing the polynomial in this process with a more general smooth function in the Fourier transform variable is one example of a pseudo. There are certain estimates that such a smooth function must satisfy in order for this class of operators to be well-behaved, but roughly speaking, if they are bounded by xi^k, then you get a pseudodifferential operator of order k.
And then composition of such "Fourier multiplier" pseudodifferential operators gets intertwined to multiplication of these smooth functions, which is of course the familiar way of using the Fourier transform to solve simple PDE.
The smooth function a(xi) in all of the above is called the "symbol" of the pseudodifferential op, and more generally PDOs take smooth functions a(x,xi) to a class of operators, and allow you to pass between operator composition and multiplication of symbols.
Yeah, I think that's the example I ran into in one of my PDEs courses, and what I was trying to recall. I should become more fluent in the topic so I can better relate the structure of PDOs to the singular kernels popping out of elliptic operators, though it's pretty clear in the case of the heat equation that this Fourier multiplier approach applies directly so it's a good first step.
Is someone here well aware about behavior of dual of Sobolev Spaces on (smooth) open sets ?
@astral vine maybe. what specifically did you want to know?
It said in some places in Literature that, for non negative s, $$(H^{s,p}_0(\Omega))'=H^{-s,p'}(\Omega)$$, where $H^{-s,p'}(\Omega)$ is the restriction space of $H^{-s,p'}(\mathbb{R}^d)$, and $H^{s,p}_0(\Omega)=\overline{C_c^\infty(\Omega)}$ the closure in $H^{s,p}(\mathbb{R}^d)$ (equivalently in $H^{s,p}(\Omega)$). I get a first embedding, I don't get the second one.
The first easy embedding is $$ H^{-s,p'}(\Omega)\hookrightarrow (H^{s,p}_0(\Omega))'$$, which follows from the definition, and the coincidence of duality Bracket
But I don't get the other one, I don't get how to see an element of $ (H^{s,p}_0(\Omega))'$ as the restriction of an element in $H^{-s,p'}(\mathbb{R}^d)$ (i.e. $H^{-s,p'}(\Omega)$)
Anatole
(Here to me Sobolev spaces are Bessel Potential spaces)
What I did for the first embedding if it can give idea or hints for the reverse one.
Hello,
I am trying to solve the following ODE:
x''(t) + f(g(t)) x(t) = 0
And I know the solutions for
x''(t) + f(t) x(t) = 0
Is there a way I can find the solutions of the first ODE using the second? I think I can't in general, they seem to be completely different equations, but for g(t) = t, the solution are the same, obviously. Or if g(t) = -t, then φ(-t) is a solution for the first if φ(t) is a solution for the second. I notice if F(r,s) = A(r)B(s), where A is a solution to the first ODE and B is a solution to the second, then F_rr(t,g(t)) = F_ss(t,g(t)). Idk if this helps. Any ideas/hints are welcome ( I am a newbie in differential equations)
Thanks
feel free to ping me
I did stuff and it comes to prove the following $$\sup\limits_{\substack{||u||{H^{s,p}(\mathbb{R}^d)}\leqslant 1\ \mathrm{supp}, u \subset \overline{\Omega}}} ,\langle {\phi}, u \rangle = \inf\limits{\substack{\tilde{\phi}\in H^{-s,p'}(\mathbb{R^d})\ \tilde{\phi}{|\Omega}=\phi}},\sup\limits{||u||_{H^{s,p}(\mathbb{R^d})}\leqslant 1},\langle \tilde{\phi}, u \rangle $$
Anatole

is this the right place to ask a question about a pde with dirichlet boundary conditions?
i have not studied PDEs, this came up in a book on fourier analysis
i think you're looking for #category-theory
Ask, I will try to answer
Does anyone know how to start a?
I may be misunderstanding the problem
But it seems like I’m taking the Wave equation bounded from a (0,L) to an equation that solution is on the interval of all real numbers
Am I scaling the function?
thanks! i solved it eventually, it was about the steady-state heat equation
Steady state is kind of silly name, talk about Poisson problem, this is more convenient
anyone with solid background in PDE (involving functional analysis) available to tute? dm please :)
Depends on the topic
Ask your question with the whole context here, I will give it a try
reviewing material Sobolev/Holder Spaces, weak solutions, Dirichlet Principle (energy minimization), and calculus of variations
The first two topics are okay to me, but the last ones, I know have few informations but I'm far from being a specialist
Why not put pdes and dynamical systems in the same thread?
because broadly they arent the same thing
Because I do pdes but not dynamics, and slim does dynamics, but not pdes
Not for long. Scott is going to break him
Dynamics is Kantian whereas PDEs is postmodern.
you can do a bunch of discrete stuff in the dynamical systems channel but probably pde people don't like that here
Answer, I changed of strategy, now it's done. Hence equality like $H^{-1}(\Omega)=(H^{1}_0(\Omega))'$ is no longer an "abstract" definition to me but a concrete identification between two fully well defined space, it makes things more clear to me.
Anatole
Is there a simplified reference on how to solve advection-diffusion-reaction equation using finite/control volume approach without vector calculus? I've been searching for whole days but I didn't find any. (Never learned mass transfer before)
This is the equation
Hey, I have a code to solve the advection/diffusion equation in C++ and CUDA, and a pdf about it from a class, are you interested ?
Does it include finite/control volume approach?
Yes
It's in French tho
Sure
there's the method detailed after my screenshot
I think you could understand the math
Yup I can try to look at the equation as long as it does not have too much vector calculus
idk why the PDF has trouble going through
May I have the screenshot on equations?
Wait lemme accept you as friend
And finally «Langage C++ et Calcul scientifique» is a really good book, the online version is free. It's in French and a paper back version is available for only 16€ iirc.
Exactly
https://membres-ljk.imag.fr/Pierre.Saramito/books/
This page is also interesting
Anyways, his webpage is actually a goldmine of fluid mechanics classes/resources
And to add onto what I said, here is the discretization method for NS equations in a video: https://membres-ljk.imag.fr/Pierre.Saramito/video_fnn/fnn-2013-ch1b.mp4
Since NS equations are very similar to advection/diffusion equations, you can find the explanation easily
I am quite curious , is there Numerical methods for more exotic function spaces ?
Because generally evry one works in L², H1
Is there some attempt for space like
Besov spaces
Or even Lp-based Sobolev spaces
Triebel-Lizorkin etc...
Maybe be I should go in #numerical-analysis
yeah I think so
dm? :)
What
!
Im kinda lost with IBP using green identities involving vector field and scalar field
u - solution of PDE
$-\Delta u + \nabla\cdot (\vec b u) = f$ in $U$
$u = g$ in $\partial U$
trying to convert to weak form, to make use of the given $||\vec b||_{L^n} < C$ to use Lax-Milgram theorem to prove uniqueness of smooth solution
multiplying by arbitrary $v \in W_0^{1,q}(U) $
$\int_{U} [-\Delta u + \nabla \cdot (\vec b u)]vdx=<f,v>$
first term is $\int \nabla u \cdot \nabla v dx=\int Du \cdot Dv dx$ since
$\int_{U} [-\Delta u v]dx=-\int_{\partial U} \frac{\partial u}{\partial n}\cdot v dS +\int_U \nabla u \cdot \nabla v dx$ boundary integral cancels since v = 0 on $\partial U$
now dealing with low order term
$\int_U\nabla \cdot (\vec b u)vdx=\int_U[u(\nabla \cdot \vec b)v+\vec b \cdot (\nabla u)v]dx$
Trying to apply Green's identity to make up weak formulation but messing up with vector and scalar fields. :(
Any help would be appreciated.
DvaNapasa
Is b a constant
DvaNapasa
Ok so it's a constant vector?
i think you can use integration by parts (div thm w.r.t. (v * (bu)) ), so you get (bu).grad v
wait up you mean integrate nabla dot (bu) dirrectly ?
and this is not needed?
yep
i dont really feel how because
div( (bu) v) = div(bu) v + (bu) grad v, integrate and use divergence theorem
Btw this formula doesn't have a div term
this is the only IBP i know, and divergenge thm too
you wanna say one can write $\int_U \nabla \cdot (\vec b u) v dx = \int_{\partial U} \vec b u v dS$ ?
DvaNapasa
@strong maple
@tired hollow Integrate this and use div thm on the left-hand side
isnt the multiplication by v applied after nabla dot bu (whic h is grad bu)
maybe im wrong
cuz want to IBP this
:D seems i cant
yes :)
Therefore, you can take the divergence of bu
DvaNapasa
this is the order right?
Yes
$\int_U [\nabla \cdot (bu)]vdx = \int \nabla \cdot [(bu) v]dx - \int (bu) \nabla vdx$
DvaNapasa
?
Yes
Yes
$\int_U [\nabla \cdot (bu)]vdx = \int_{dU} \vec \nu \cdot [(bu) v]dS - \int_U (bu) \cdot \nabla vdx$
right? :D
Yes
WHOOO HOOO
DvaNapasa
?

@strong maple how are you justifying the integration by parts? wasn't their b only assumed to lie in L^n?
b is n dimensional vector field whose norm is bounded in L^n
Integration by parts is defined for weak derivatives isn’t it
ill perhaps apply Lax Milgram theorem that states that if bilinear mapping B[u,v] is bounded and coercive then exists and unique is the solution
just need weak formulation of the PDE
then can make use of bilinear mapping
(L^inf)^n?
lol
D: is this bad?
That and b in Ln are very different
kinda important/useful info to include
i want to make use of this theorerm
but i only need to show uniqueness, without existence, maybe applying this theorem is wrong
for part b cant prove that mapping B is bounded (iit feels like)
this statement is strong :|
Someone deleted their message
is this an exam?
I'be seen your DM, and gosh there is very much. But bro' I am not at your disposal. I have my own work to do and many other things.
Assume there is two solutions, take the difference and wrote the associated variationnal problem for the variationnal solution
thanks a lot! =)
To solve it You will need Sharp Sobolev embeddings and Holder Inequality
Then it implicitly assume that n, the dimension, is greater than 2
I will do (a) for you arguments should work similarly for (b)
i like and hate the fact that you have a formula for the constant lol
The formula is Kind of "simple" in the L² case
ig, but isnt it sufficient poincare ineq and set c0 small enough?
No
How could you get a control on the Ln norm of b with only use of Poincaré inequality ?
wdym? we want control on the bilinear form in function of the norm of b
(and the norm of u)
Yes but it is asked for Ln norm of b
espicially Ln norm of b
how do you make it appear
the domain is bounded, so holder
i didnt noticed that you didnt replaced grad u with u
you will see you are going to deal with some troubles
i mean, you need to bound below by the norm of u in the right space
thats why i said poincare
Yes
I use indifferentfly $H^1$ norm or homogeneous $H^1_0$ norm, on $H^1_0$ since as you said, Poincaré inequality gives equivalence
Anatole
yeah, ik
So you disallow few solutions
but for the sake of simplicity ig
there is not simplicity since you know the fact, right ?
Oh fuck
I just realized
to me $d=n$
Anatole
in above solution
Grad PDEs tends to wreck people
It was the converse, I was like "Oh my god it's so cool and so fun"
my last grad year was the best year of my life
Hello! can anyone recommend a book or any material that explains sturm-liouville problems intuitively?
what do you mean ?
most of the pdfs I've seen were too abstract
I don't know a systematic treatment of Sturm-Liouville problems in "non-abstract" way
( "non-abstract" in the sense that it does not require Functional Analysis, Spectral Theory in the case of Hilbert spaces)
In fact Sturm Liouville operators are generally unbounded self-adjoint operators, with respect to specific scalar product on a weighted L²-space, in particular when things are nice you can show that it admits a spectrum only made of isolated values that are in fact eigen values, and the eigen vectors asssociated with those eigen values are in fact an orthonormal basis with respect to the previous introduced scalar product.
to make a systematic treatment of Sturm Liouville operators, and not just few specific cases, you need to understand each term in my previous post
These definitions are known to me, I was looking for geometric interpretations of eigenvalues and eigenfunctions but I think I figured it out. Thank you!
geometric interpretation ?
yes, let's say you get a solution sin(pi n x/L) and where pi n/L is an eigenvalue (n = 1,2,3..) and when you enter those n values the eigenfunction satisfies boundary conditions in [0,L] interval
When I graphed these solutions I saw how the sine curve was satisfying boundary conditions
but this is a simple case, there are more complicated boundary conditions and I was trying to see example solutions to those
Try to investigate the following Sturm Liouville operator on [-1,1], there is no such "geometric interpretation", as you said. Consider $$L= -\frac{\dd}{\dd x}\left[(1-x^2)\frac{\dd}{\dd x}\right]$$
Anatole
No boundary condition because this is invariant rotation Laplacian on the unit sphere
How do you find eignen values in this case
then the eigen vectors ?
etc.
Generally speaking Sturm-Liouville operators have no such "geometric interpretation", since the eigen vectors here won't be sin/cosine functions
I digged PDEs when we were doing weak solutions, regularity, and variational stuff. When we got into semi group dynamics it was pure pain
Now I'm trying to learn more about Monge-Ampere
I'm checking everything, except variationnal problems.
Those kind of PDE are difficult to deal with, because the non-linear part and the linear part are of order 2 right ?
Orlicz-Lebesgue /Sobolev spaces
I have no idea why they're difficult
It just came up in my research with my prof
And he just said "This is a 34 page argument to understand why, but we ultimately get what we need"
So I'm reading this Elliptic Partial Differential Equations: Second Edition (Courant Lecture Notes) by Han and Lin
Then fully non-linear elliptic equations by Xabre and Caffarrelli
Han and Lin good, need to read it too
It's pretty short
LMAO
Han and Lin seems to retread a lot of the same basic ground for the first two chapters
but I guess it doesn't hurt to go back through harmonic stuff again
I'm trying to find the stationary condition for this functional
The Euler-Lagrange equation gives me $1=Cy\sqrt{1+(y')^2}$
ImHackingXD
Did I make a mistake midway? I don't see a way to solve for y here
what was your E-L before simplifying? You should
get something like
[-\frac{\sqrt{1+(y’)^2}}{y^2}-\frac{d}{dx}\left[\frac{y’}{y\sqrt{1+(y’)^2}}\right]=0]
kirby
@strong nimbus
Since my function doesn't depend explicitly of x, I used the formula
$$
f-y^{\prime} \frac{\partial f}{\partial y^{\prime}}=C
$$
ImHackingXD
where $f=\frac{\sqrt{1+\left(y^{\prime}\right)^{2}}}{y}$
ImHackingXD
oh indeed
yeah your result is correct
I don’t see the issue
you can get it in terms of y’ then you have a separable ODE
Separable how? Probably being blind right now, sorry
y’ = \pm \sqrt{1-(Cy)^2}/(Cy) @strong nimbus
Oh, so separation of variables between y' and y? Didn't think I could do that! Thank you very much for your help
mhm, you just have to solve for y’
recall that y’=dy/dx
The point of E-L is to create a minimizer that creates some sort of diffeqs that are hopefully solveable
if they aren’t, you still get a lot of information about y
If I have $\int_{\Omega}\nabla\cdot\mathbf{v}(\mathbf{x}),\mathrm{d}\mu(\mathbf{x})=0$ for some compact $\Omega\subset\mathbb{R}^3$, what are some fairly minimal conditions I can add on to any part of this system to get $\mathbf{v}:\mathbb{R}^3\to\mathbb{R}^3$ to vanish $\mu$-a.e.? I'm brainstorming because I feel like I'm missing something trivial, maybe even calculus-level.
teafortwo
Is Omega smooth ?
is mu a Borel measure ? or absolutely continuous wrt the Lesbgesgue measure ?
because if mu is the Lesbesgue measure, there is plenty of function with 0 divergence on Omega, that are not 0.
in particular there is many more functions such that the integral on Omega of its divergence is 0.
so you cannot deduce anything without very strong additional assumptions
@astral vine I'm "allowing" it to be anything. Loosely speaking I'm trying to model something where I know that the integral of divergence vanishing strongly predicts the flow itself vanishing, but it's not obvious at all what additional structure I should be look for that makes this so.
I'd say \mu should be absolutely continuous w.r.t. the Lebesgue. Omega is not necessarily smooth.
So I'm just shopping around for some conditions to brainstorm.
Omega is compact and strongly connected, but \partial\Omega is only C^0
in guarantee
Without smoothness assumpiton , say C² boundary, you cannot expect to control the gradient with the curl and the divergence
Hm, since I'm fine with purely local control, I think we can assume \Omega is a smooth ball.
In this case.
But the interesting fact is the boundary
right ?
I don't know if C^0 boundary is sufficient to guarantee a Stokes a theorem
It's hard for me to reason out if I particularly care about the boundary in this case, and it's true that even for local control I need some kind of global dependence on the "true boundary" data.
C^0 doesn't guarantee Stokes. OK, let's assume smoothness, what other things can I add on for now?
To be sure, say that the boundary is at least C^{2,alpha} alpha in [0,1]
Now
mu is absolutely continuous with respect to the Lebesgue measure
do you have any explicit acess to the Radon Nikodym derivative of mu w.r.t. the lebesgue measure ?
does it have additional properties ?
Haha we were thinking about the same thing. I dont' formally know I've got it but I believe I can.
Since this system is physical and unlikely to have any singularities.
Ask v to be in H^1_0
We can say it behaves like a density.
this became equivalent to say that $v$ lies in the orthogonal set of $\nabla f$ in the L² sense
Anatole
or weak sense
or whatever
f being the distribution
A distribution annihilate smooth compactly supported function iff it is 0
Hencef must be constant
so mu must be a renormalized lebesgue measure
I said shit
v is a selected vector field not any vector field
wait
but you want that being in the annihilator implies to be 0, right ?
Yes, I'm fine with it only being weak, but I'm still puzzling out whether I can be happy with v Sobolev.
it does not change my previous statments
The problem is ill posed to me
because we write, for $v\in C_c^\infty(\Omega,\mathbb{R}^d)$, $$\int_\Omega \div v\dd \mu = -\langle \nabla f, v\rangle = 0$$, and we want $$v\in N(\nabla f) + [\text{conditions ...}] \iff v=0$$
Anatole
N(T) being the nullspace of operator T
if $\nabla f$ is in L², then asking to be in $N(\nabla f)^\perp$ should be sufficient
Anatole
That's a hard ask to give physical meaning.
We don't do that here
But orthogonality with respect to a gradient should have a deep physical interpretation right
?
But anyways thanks for helping me think through this. I'm actually concerned about the weak formulation because I'm afraid the derivatives are singular at the boundaries, but passing it through naively I should still think about what it means for v to the perp to the null of grad f.
Well the issue is I'm already sitting on an assumption that the measure is a density, I think this is the case but it's actually something that should pop out of a Girsanov transform applied to importance sampling.
So it's unclear what the gradient should correspond to.
L²(\Omega,\mathbb{R}^d) = { \nabla f}^\perp \oplus \mathrm{Span}(\nabla f)
Is this an appropriate channel to ask about hermite function?
Depends on what properties of Hermite functions
which I recall are not Hermite polynomials
So can I ask about it? I have a troubling problem
ask
Putting 0 in the whole equation
then expend the product
terms by terms at the top and the bottom of the fraction
Then how do I get n! Here?
In the denominator
I've done I've still not understood
can you give me the book reference please ?
Reference meaning, the name of the book?
yes
Okay what is that error(s)?
${H}{2n}(x) = \sum{k=0}^{n}(-1)^k \dfrac{(2n)!}{k!(2n-2k)!}(2x)^{2n-2k}$
Anatole
This is the real formula
Sure?
Sure
Okay
some k's where replace by few x
But what happens if I put x=0? Won't the term become 0?
no
The 2x part
