#advanced-pdes

1 messages · Page 15 of 1

astral vine
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"mdr" or "ptdr"

dawn lava
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Dying of laughter I assume?

astral vine
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Yesn but it gives you the function without a proof

soft summit
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something de rire I'm sure

astral vine
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exactly,

dawn lava
astral vine
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"mort de rire", "péter de rire"

dawn lava
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The one that's something like unbounded in any open set

astral vine
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Yes

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I did the proof

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Gosh

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it's 5 pages long

dawn lava
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I've been meaning to

verbal nebula
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I think the nice thing about Evans is that there a clearly detailed references if you don't follow

dawn lava
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I no longer mean to

verbal nebula
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At the end of each chapter

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My profs lecture notes were really good for the chapters 5-7 stuff, but there was no homework so none of it stuck

astral vine
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I lied, 6 pages long

dawn lava
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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.

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Like, in the middle of the proof

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And it just tells you to sort of accept it as a fact of life

soft summit
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the one that evaluates to 4?

dawn lava
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Yeah the one that's a quotient of distances in the heat ball

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Distance in time and distance in space divided, iirc

astral vine
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The page please ? I have the book in my hands right now

dawn lava
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This bitch

soft summit
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54

dawn lava
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Page 54 in my PC version

soft summit
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in the new one too

dawn lava
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I've actually got it right besides me too and it's 54 in the new one yeah

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I timidly tried to tackle that integral for about fifteen minutes before noping right out

soft summit
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I looked it up when I went through this
it was much longer than I had expected

dawn lava
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It's not an especially important part of the proof, mind

astral vine
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I do a bunch of parabolic equations, even with Laplacian, and I never use this result

dawn lava
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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

astral vine
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I even forget it exists

verbal nebula
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I kinda just convinced myself it should be true

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and moved on w/ my life

soft summit
verbal nebula
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that's kind of annoying

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I remember doing the log log 1 + 1/|x| problem on Math Stack

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I ended up answering my own question

astral vine
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The only real good part of Evans is between pages 435-451

river path
dawn lava
verbal nebula
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Do I have to get the book out now

dawn lava
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Made a half-hearted attempt, quickly convinced myself it wasn't worth it

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I don't think I could've figured it out

dawn lava
half patio
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bdvanced???

white hazel
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a step beyond advanced

tired ether
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eddvanced-pdes soon

clever aurora
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bdvanced stands for?

plush dust
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ODE -> PDE -> QDE

arctic carbon
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like advanced pdes but nami is insecure about using the letter a too many times

granite sun
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Where’d my bdvanced-pdes go sad

arctic carbon
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cope

potent herald
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Yeah sure, what are you confused about in these topics

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well whats your interpretation of it

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sure thats a specific case

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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.

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but the idea is correct, i am defining this convergence to be if |f_n(x)-f(x)| approaches 0

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well let me think of an example

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like you want the norm of f-f_n

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which is like, the series with terms after n

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so you would usually wanna show that part goes to 0 somehow

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right so you can actually try computing this yourself

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define f_k to be the partial sum upto k

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try computing or bounding f-f_k

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lets use k here since they are using n to index

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yeah endgoal is to see what happens as n-> infty

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but first using the L^2 norm ig whats |f-f_k|

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yeah I am assuming thats the norm you want

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yeah

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fourier series is kind of a statement about L^2 of periodic functions

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you can but you dont need to, just for f-f_k is good enough

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yeah just plug it in and do the integral

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uh thats a bit hard for me to read

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but i think you made a mistake there

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the basic idea should be that $f-f_k = \sum_{n>k} \dfrac{(-1)^n}{n} \sin(nx)$

untold deltaBOT
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JohnTheCutiePie

potent herald
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so $(f-f_k)^2 = \sum_{n,m>k} \dfrac{(-1)^{n+m}}{nm} \sin(nx)\sin(mx)$

untold deltaBOT
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JohnTheCutiePie

potent herald
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and so $\int_{-\pi}^\pi (f-f_k)^2 \dd{x} = \sum_{n,m>k} \dfrac{(-1)^{n+m}}{nm} \int_{-\pi}^\pi \sin(nx)\sin(mx) \dd{x}$

untold deltaBOT
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JohnTheCutiePie

potent herald
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$= 2\pi \sum_{n>k} \dfrac{1}{n^2}$

untold deltaBOT
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JohnTheCutiePie

potent herald
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(using orthogonality of the sines in the last line)

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and this is known to go to zero

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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

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yeah

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the x is in the arguement of sin right

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but once you integrate it the x dissapears

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im defining

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$f_k(x) = -2\sum_{n=1}^k \dfrac{(-1)^n}{n}\sin(nx)$

untold deltaBOT
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JohnTheCutiePie

potent herald
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i probably lost a few constants in the computation but those dont matter

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do you mean how i just wrote it as f-f_k? thats just to shorten notation

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i do mean f(x)-f_k (x)

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why?

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oh

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right so i just wrote f as the infinite series

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hmm maybe this isnt fully logically sound

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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

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do it for the infinite series

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to confirm it converges

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yeah

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and fourier series tells you that since it converges, it must coverge to x

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(as the coefficients match up etc)

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anyhow i think we got a bit off track with this example

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like uh main point was

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ok this is a computation in a specific example, but this is what it means to converge in norm

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(which in this case is the L^2 norm)

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also another thing i should mention is that L^2 is a complete space

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so you can also use the cauchy criterion to see if a series converges

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in this case i saw the computation was easy enough so i didnt go through that

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yeah that is to say its something that converges in L^2

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also i feel like your class is skipping a lot of details oof

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L^2 is probably the most used hilbert space (thats not finite dimensional) but its certainly not the only

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also erm do you guys have access to the lebesgue integral?

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yeah you cannot really define L^2 without it

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you can define a space of square riemann-integrable functions

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but its not as nice

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for instance its not complete under the L^2 norm topology then

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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

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idk how true this is but feels true

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sure i have seen them used a lot.

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but,

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i dont know how important they are for your class

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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

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you could probably search up some uses in physics if you want motivation

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i remember using these quite a bit when i did some physics classes

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phi_k?

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so in general fourier series is like, finding an orthonormal basis for space of square integrable functions

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for periodic functions this is sin and cosine

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but you can ask about different things too right

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same things, sin and cosine can be written interms of those

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if you think about it periodic functions are like, functions on the circle right

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you might ask about functions on the sphere for example

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then L^2 decomposes into these things called spherical harmonics

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if you have heard of those

mystic ginkgo
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the phi_k are the basis functions, as john said

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sure

potent herald
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well you change the e^(ikm) with the appropriate basis

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but yeah

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yeah cause otherwise |f|^2 doesnt make sense right

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L^2 is kind of a specail space in that it not only has a norm

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but an inner product

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this is why you can do these nice things like orthonormal bases etc

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inner product is as you have seen

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<f,g> = int_(-pi)^pi f(x) bar(g(x)) dx

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give or take a constant

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and the norm comes from this, i.e

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|f|^2 = <f,f>

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.

mystic ginkgo
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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

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and it behaves much in the same way

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like $u \cdot v = \sum_{n=1}^N v_n^* u_n$

potent herald
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bar is just when you have complex stuff

untold deltaBOT
mystic ginkgo
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use an asterisk for complex conjugate if you prefer 😛

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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

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you can probably cook up an argument based on the basis being orthonormal and cauchy schwarz

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the d_k are the weights of a linear combination

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say you put your phi_k in a vector, call it v, and we have some weights for a linear combination, call them w

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then v dot w is a linear combination of the elements in v

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it's telling you there is a set of weights w that are optimal in the least squares sense

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and these weights are precisely the c_k they defined above

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sure, that's what this is telling you

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the basis is orthonormal, shouldn't matter

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the theorem as stated is independent of what n is

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it's telling you it's true for any n

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i would suggest to review linear algebra and relate it to that

tired hollow
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For this, I just set $V=\Lambda(S)$ and solve for $u$ then set $\tau=0$ right?

untold deltaBOT
storm glade
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Does anyone know any reference to inequalities for fractional Laplacians, maybe sth that would look a bit like $|(1 - \Delta)^{\frac{s}{2}} (\psi^3) |{L^2} \lesssim | \psi^2|{L^2} |(1 - \Delta)^{\frac{s}{2}} \psi|_{L^2}$

untold deltaBOT
twilit rover
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@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.

buoyant pike
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Why is right angle italicized

twilit rover
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@broken sapphire I was answering your previous question

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This one

exotic spruce
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Can someone please explain this

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How is this integration by parts

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He just took the derivative of both functions independently wtfffff

twilit rover
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He differentiated under the integral in the first line of the "integration by parts" part

exotic spruce
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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)?

twilit rover
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In the very first line he did $\partial_\xi \int = \int \partial_\xi$

untold deltaBOT
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IlIIllIIIlllIIIIllll

exotic spruce
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Yeah I get that

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But what about the second line

twilit rover
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the second line is just algebra

exotic spruce
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Like this is what I’m seeing what he didd

twilit rover
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no

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the first equality is $\partial\xi \int = \int \partial\xi$. The second equality is just algebra, nothing fancy.

untold deltaBOT
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IlIIllIIIlllIIIIllll

twilit rover
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The third is from integration by parts

exotic spruce
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I’m just confused because If he is taking the partial with respect to epsilon then why is that 2 alpha coming out

twilit rover
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expand out the $\frac{d}{dx}e^{-\alpha x^2}$

untold deltaBOT
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IlIIllIIIlllIIIIllll

exotic spruce
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Yeah

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So what I wrote is exactly what he did

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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

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Respect

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Ugh

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WAIT I GET ITTTTT

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Omg

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Thank you

twilit rover
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What he's really deriving here are more general identities that hold for "rapidly decaying" functions.

exotic spruce
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He didn’t take the derivative of that he just wrote it like that so it would cancel out omg

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Yeah

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So in this case that e ^ - alpha x ^2 is like a function that’s super useful here

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Like it just works good

twilit rover
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namely $F(\partial_{x}f) = i \xi F(f)$ and $F(xf) = i\partial_{\xi}F(f)$.

untold deltaBOT
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IlIIllIIIlllIIIIllll

twilit rover
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Valid for $f \in \mathcal{S}(\mathbb{R})$

untold deltaBOT
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IlIIllIIIlllIIIIllll

exotic spruce
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Ok thanks so much!

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Wait where did that i epsilon come in for the third line

twilit rover
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Its $\xi$ not $\varepsilon$

untold deltaBOT
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IlIIllIIIlllIIIIllll

twilit rover
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It's integration by parts.

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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.

untold deltaBOT
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IlIIllIIIlllIIIIllll

twilit rover
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To get $F(f') = -2\alpha F(xf)$.

untold deltaBOT
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IlIIllIIIlllIIIIllll

exotic spruce
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Did I find the fixed points right here

turbid scaffold
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It looks like the $a_n$ are the Fourier coefficients on the piecewise function on the right side.

What is h again?

untold deltaBOT
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fajitas

buoyant pike
hidden fractal
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Apologies I'll move it there!

buoyant pike
buoyant pike
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Zworski has a book right

river path
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zworski's book is very popular

quaint herald
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definitely don't use monsterbook lol

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yes the books you mention are all good, zworski is very good, I learned a lot from Martinez as well

buoyant pike
solemn ruin
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ok

clever aurora
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is Maximum principle for wave equation a real thing?

clever aurora
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\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?

untold deltaBOT
buoyant pike
harsh veldt
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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.

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by 2D i mean rectangular membrane

clever aurora
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run the wave eq in reverse KEK

sudden pumice
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hi guys, anyone know an example of a function that is in L^2(R^n) but not in L^1(R^n)?

clever aurora
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1/x, modify it a little

sudden pumice
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thanks!

solid flint
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Seems to be true after some computations

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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?

untold deltaBOT
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Mikahopff

solid flint
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Thank you in advance.

astral vine
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H3/2

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Nothing better

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for Lipschitz boundary

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which is still "smooth enough" for some people

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If by smooth you mean C infty

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then H² is exactly what you get

astral vine
harsh veldt
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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?

harsh veldt
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<@&286206848099549185>

buoyant pike
harsh veldt
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no one is actually answering me. 🥲

buoyant pike
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No one is obligated to answer

solid flint
astral vine
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For sharp H3/2 regularity in the case of Lipschitz domains, this is a very technical result

peak niche
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I did but no answer

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Tho

buoyant pike
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No one is obligated to give you an answer

astral vine
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Exactly what I was currently writing

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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

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mainly published in 90's

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the generic Lp case was done by Jerison and Kenig

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Not so hard

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but needs a lot of knowledge to deal with it

solid flint
astral vine
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The involved tehcnics mades it more clear than the first sharp L² result iirc

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I have Jersion and Kenig's paper just in my hands right now

solid flint
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that's surprising at the first glimpse because of the tools that we have in these L^2 related Hilbert spaces

solid flint
astral vine
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"The inhomogeneous Dirichlet problem in Lipschitz domains"

solid flint
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Thank you so much

astral vine
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but be careful it needs A LOT of knowledge

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and being well aware about the content in the references therein

solid flint
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I may be reading from the books, the paper is feed my curiosity somehow

river path
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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.

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I think this is ok

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You can probably look at, say, differentiation on some space and get the same thing.

astral vine
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every self adjoint operator have a spectrum contained in the real line

solid flint
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Hello, is there any function in $L^2(\mathbb{R})$ that's not vanishing at infinity?

untold deltaBOT
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Mikahopff

river path
untold deltaBOT
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Kanga Gang Drug Mule Ryc

solid flint
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isn't this zero a.e?

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Actually even if we ask that the function is smooth we can find some examples

river path
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Yep

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You can turn what I said into smooth bumps that get thinner and thinner

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If you want globally lipschitz, or even uniformly continuous, I think you're going to run into trouble though.

harsh veldt
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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?

astral vine
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use the energy of the equation

harsh veldt
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oh to solve for the solution?

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how do I get the solution out of the energy?

astral vine
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Assume you have a solution

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ask it to be $H²_{t,loc}L²_{x,loc}$ and $L²_{t,loc}H²_{x,loc}$

harsh veldt
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okay okay

untold deltaBOT
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Anatole

astral vine
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the energy of the wave equation is nothing but $$E(t):=\int_{\Omega} |\partial_t u(t,x)|^2+ |\partial_x u(t,x)|^2 \dd x$$

untold deltaBOT
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Anatole

exotic spruce
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Does anyone know how to solve this stochastic differential equation??

kind prawn
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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

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This is the original functional

river path
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It should probably still be over Omega

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Unless f is like

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A distribution supported on the boundary or something

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Yeah to get the right pde at the end it def needs to be all over Omega

astral vine
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The boubdary have 0 measure with respect to the Lebesgue measure

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So I think too, that the integration domain is Omega

strong maple
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besides, aren't you missing a 1/2 term next to the grad u integral?

exotic spruce
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I’ll ask again anyone know

twilit rover
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@exotic spruce What is that supposed to mean?

exotic spruce
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It’s a stochastic differential equation

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The boxed thing

twilit rover
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looks fancy

exotic spruce
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Lmao

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I don’t think it’s right. Stochastic differentials with trig are almost never solvable

soft summit
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oh nvm I see why u is constant 🤦‍♂️

soft summit
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how do you get the last line?

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the PDE is

strong maple
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isnt it just differentiate u-g(...) wrt u?

astral vine
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Wrt to x

solid flint
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Hello, are there any video lectures about the Control theory of PDEs please?

strong maple
astral vine
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chain rule

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just plug the ansatz in your equation

buoyant pike
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Hello friends

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Why is $\int_0^1\frac{1}{r(1+r)^n\log(1+\frac1r)^n}dr$ finite for $n>1$?

untold deltaBOT
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陆景和

buoyant pike
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The 1+r is not so important because it's bounded above and below I suppose

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But the other terms remain

buoyant pike
verbal nebula
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It's an integral that comes from a sobolev space question

buoyant pike
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Ryc knows

astral vine
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change of variable u= 1/r

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so it suffices to look at the integrability of u^n/(u(1+u)^n log(1+u)^n) near infty

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Since n>=2 this is obvisouly true being aware of bertrand criteria for integrals

buoyant pike
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I see

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That makes sense

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Not really but it makes enough sense

river path
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I remember that

buoyant pike
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Lexicographic order...

river path
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isn't this like how the sum of 1/(n (log n)^p) is finite for p > 1

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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

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here if you have 1/(u log(u)^n) you do e^x = u and then get 1/x^n and that's it

solid flint
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Hello everyone, does anyone knows a light introduction to microlocal analysis just to know what is it about and how it is used please?

astral vine
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I never finished the second one

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but its firts chapters are good and readable

solid flint
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@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.

astral vine
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Microlocal Analysis is deeply related to Pseudo-Differential operator theory and Quantum Mechanics

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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 .

solid flint
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@astral vine Thank you so much

unborn cedar
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@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.

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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)

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Example: X=A^2, f(x,y)=x^2+y^3. Then we have b(s)=(s+1)(s+5/6)(s+7/6)

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etc etc

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they are kinda hard to compute in general

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I'll explain in a second how you can prove their existence using holonomic D-modules, but first, what can you do with them

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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

dense hamlet
#

Okay yeah that's what I was wondering about, what s here was lol

unborn cedar
#

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

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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

dense hamlet
#

That's pretty cool huh

unborn cedar
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yea this absolutely rocks

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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

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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

river path
#

😵‍💫

buoyant pike
astral vine
#

nice maths

soft summit
#

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?

buoyant pike
#

Yes

#

You can see with this burgers in 1d with correctly chosen initial data

#

You get something called a rarefaction wave

soft summit
#

I see ty

soft summit
#

what does he mean exactly with this regularizing effect

astral vine
#

Because the heat equation have fully smooth solutions on (0,+oo)x R^n

soft summit
#

ah ok I was overthinking

#

ty

astral vine
#

Kruskov trick yeay

late moth
#

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

late moth
#

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 $t\in \R$

untold deltaBOT
late moth
#

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)

buoyant pike
harsh veldt
#

small question: is Lp space dense in the Sobolev space?

twilit rover
#

$L^p(\mathbb{R}^n)$ is not contained in $H^{1, p}(\mathbb{R}^n)$

untold deltaBOT
#

IlIIllIIIlllIIIIllll

harsh veldt
#

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

buoyant pike
#

Convolution

harsh veldt
#

oh so do I use mollifers then?

solid flint
#

Anyone can enlighten me about the ill-posedness of the wave equation in L^p spaces for P different than 2, please?

soft summit
#

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

solid flint
#

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

carmine blaze
#

Find the solution to the initial value problem for the Schrodinger equation $u_t = iu_{xx}$, $x \in \mathbb{R}$, $u(x,0) = e^{-x^2}.$

untold deltaBOT
carmine blaze
#

this showed up in my complex analysis pset and I have no idea how to do it

solid flint
#

Fourier Transform seems to work here,

#

even semigroups theory if you are familiar with it

carmine blaze
#

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
}

untold deltaBOT
brisk granite
#

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?

untold deltaBOT
brisk granite
#

That's a del x

#

$\int x δx=?$

untold deltaBOT
#

ブラボー

brisk granite
#

That's my question

#

Is it possible to integrate?

#

If not why? If yes how?

buoyant pike
#

Meaningless

#

Also inappropriate channel

brisk granite
astral vine
#

the notation means absolutely nothing

#

this just a bunch of symbol

brisk granite
#

That notation stands for partial derivative if I'm not mistaken

astral vine
#

No.

brisk granite
#

Then pls tell me what's the symbol for partial derivative?

astral vine
#

$\partial$

untold deltaBOT
#

Anatole

brisk granite
#

Ok thanks

#

So my question meant to be

$\int x \partial x$

untold deltaBOT
#

ブラボー

brisk granite
#

Is that possible?

astral vine
#

Same comment

#

the notation means absolutely nothing
this just a bunch of symbol

brisk granite
#

Thanks

astral vine
#

Did I say something weird ?

buoyant pike
#

We don't integrate with a dx because d is a derivative???

#

It's purely notational

brisk granite
#

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.

buoyant pike
brisk granite
#

Ok I'm new here thanks

river path
#

"partial integration" is just denoted with a d whatever variable

#

denoting partial derivatives differently is a stupid historical holdover

#

and was always a mistake

brisk granite
#

But why if you could give me an explanation

untold deltaBOT
#

Kanga Gang Drug Mule Ryc

brisk granite
#

No they don't

river path
#

you just only use the first one when there are other variables

#

for no reason

#

well, they both mean nothing at all

astral vine
river path
#

both of them are just a bunch of symbols that appear as part of two notations

astral vine
#

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

brisk granite
river path
river path
#

alright

#

in differential geometry, the first one describes a vector field while the second describes a differential form

astral vine
#

Did you ever learned, measure theory, or a real definition of the Riemann integral ?

astral vine
#

please

#

save his soul

river path
#

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

brisk granite
kindred aurora
#

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.

untold deltaBOT
#

Anarchy

kindred aurora
#

That's a measure theory explanation

river path
#

anyway this is just notation and is completely nonmathematical, it's like arguing with someone about semantics

brisk granite
#

It is not semantics I'm talking about like what....

#

Have you done method of separation of variables?

astral vine
#

We did plenty of things

#

What's your point

brisk granite
#

My point is it's not semantics, partial derivative and ordinary derivative mean differently although they are the "same"

astral vine
#

but the d in integration IS NOT FUCKING RELATED to derivatives

kindred aurora
#

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

untold deltaBOT
#

Anarchy

brisk granite
#

Ok.

dim topaz
#

i feel like this discussion is outside the scope of a pdes channel

brisk granite
#

Which channel do I go to?

tired ether
dim meadow
brisk granite
#

Ok

astral vine
#

Sorry I losed my patience

harsh veldt
#

How can I use mollifiers to prove this one? I'm not very familiar on how to do this one 😦

white hazel
#

doesn't look like you need mollifiers

#

i would just take derivatives and just estimate the L^p norms

buoyant pike
#

No mollifies, direct computation of W^1,p norm

harsh veldt
#

Oh like bound the function with some other familiar functions?

buoyant pike
#

Just compute the Lp norm of u and u’

harsh veldt
#

Okay thank you so much! Will try this one. So the L^inf case is just noting that it's not bounded?

buoyant pike
#

And show that it’s finite

#

Yes

harsh veldt
#

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?

white hazel
#

try a taylor polynomial or something

buoyant pike
#

Poincare inequality

white hazel
#

cause this is log(a + log(x)) - log(a) with a = log(2)

harsh veldt
harsh veldt
buoyant pike
#

Yes

harsh veldt
#

thanks!

harsh veldt
#

does my weak formulation look correct?

harsh veldt
#

Not sure how to say it is finite

buoyant pike
harsh veldt
#

Ohhh thanks! Will read this

white hazel
#

Seems like overkill

#

I would just switch to polar coordinates

buoyant pike
#

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

white hazel
#

A u sub should work since this is an easy case right?

#

Since p=n

harsh veldt
harsh veldt
white hazel
#

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

harsh veldt
#

oh I will try this! That might be interesting. Thanks!

astral vine
white hazel
#

It’s almost correct at least

#

Should be x/|x| instead of |x|/x (second thing doesn’t make sense)

harsh veldt
#

Thanks for pointing out. Let me fix it

astral vine
#

I have the result if you wanna check it

harsh veldt
harsh veldt
#

@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 👌🏻

astral vine
untold deltaBOT
#

Anatole

astral vine
#

so $$|\nabla u(x)| = \left|\frac{1}{\frac{|x|}{2} \log\left(\frac{|x|}{2}\right)}\right| = \frac{1}{\frac{|x|}{2} \left|\log\left(\frac{|x|}{2}\right)\right|}$$

untold deltaBOT
#

Anatole

astral vine
#

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

buoyant pike
#

Yes I said bertrand integrals yesterday

astral vine
#

Oh sorry I didn't see it

#

my bad Ange

buoyant pike
#

No worries

#

More like

#

Vindication

#

Because young_smasher said it wasn't necessary

astral vine
#

I do not know how to justify finiteness without it to be honest

harsh veldt
#

Thank you!!!

junior bloom
#

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.

astral vine
#

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

junior bloom
astral vine
#

I think this deeply related to Pseudodifferential Calculus

junior bloom
#

I can't read anything Mitrea

#

Taylor-tier writer

#

lmao

astral vine
#

sadly

astral vine
#

so

junior bloom
#

Unsurprising

astral vine
#

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 ?

junior bloom
#

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 catKing

quaint herald
#

@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).

astral vine
#

Thank you very much for this explanation, moreover TeaForTwo and I asked for a synthetic reference, do you know one that you particularly love ?

quaint herald
#

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.

astral vine
#

Thank you again. I'll probably take look on it later, since this result is always used without any mention.

junior bloom
#

Not familiar enough with PDOs to grokk this explanation but I know what I need to read up on.

quaint herald
#

@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.

junior bloom
#

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.

astral vine
#

Is someone here well aware about behavior of dual of Sobolev Spaces on (smooth) open sets ?

quaint herald
#

@astral vine maybe. what specifically did you want to know?

astral vine
# quaint herald <@!254338913492008970> 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

untold deltaBOT
#

Anatole

#

Anatole

astral vine
#

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. $H^{-s,p'}(\Omega)$)

untold deltaBOT
#

Anatole

astral vine
#

(Here to me Sobolev spaces are Bessel Potential spaces)

astral vine
#

What I did for the first embedding if it can give idea or hints for the reverse one.

astral vine
#

Oh, maybe I did it

#

Wait

#

Maybe I didn't

patent vigil
#

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

buoyant pike
astral vine
#

I did stuff and it comes to prove the following $$\sup\limits_{\substack{||u||{H^{s,p}(\mathbb{R}^d)}\leqslant 1\ \mathrm{supp}, u \subset \overline{\Omega}}} ,\langle {\phi}, u \rangle = \inf\limits{\substack{\tilde{\phi}\in H^{-s,p'}(\mathbb{R^d})\ \tilde{\phi}{|\Omega}=\phi}},\sup\limits{||u||_{H^{s,p}(\mathbb{R^d})}\leqslant 1},\langle \tilde{\phi}, u \rangle $$

untold deltaBOT
#

Anatole

astral vine
#

seems pretty intuitive

#

but I need a proof

crisp heart
scarlet fog
#

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

junior bloom
sinful jetty
#

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?

astral vine
scarlet fog
astral vine
tired hollow
#

anyone with solid background in PDE (involving functional analysis) available to tute? dm please :)

astral vine
#

Depends on the topic

astral vine
tired hollow
astral vine
#

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

turbid scaffold
#

Why not put pdes and dynamical systems in the same thread?

onyx heart
#

because broadly they arent the same thing

buoyant pike
#

Because I do pdes but not dynamics, and slim does dynamics, but not pdes

river path
buoyant pike
#

Anyways

#

Morally they are quite distinct

junior bloom
#

Dynamics is Kantian whereas PDEs is postmodern.

forest cradle
#

you can do a bunch of discrete stuff in the dynamical systems channel but probably pde people don't like that here

astral vine
# untold delta **Anatole**

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.

untold deltaBOT
#

Anatole

vagrant stone
#

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

kindred aurora
vagrant stone
kindred aurora
#

It's in French tho

vagrant stone
#

Sure

kindred aurora
#

there's the method detailed after my screenshot

#

I think you could understand the math

vagrant stone
#

Yup I can try to look at the equation as long as it does not have too much vector calculus

kindred aurora
#

idk why the PDF has trouble going through

vagrant stone
#

May I have the screenshot on equations?

kindred aurora
#

oh

#

you don't accept DMs from people that aren't your friends

#

that's why

vagrant stone
#

Wait lemme accept you as friend

astral vine
astral vine
kindred aurora
astral vine
#

Exactly

kindred aurora
#

Anyways, his webpage is actually a goldmine of fluid mechanics classes/resources

kindred aurora
astral vine
#

I am quite curious , is there Numerical methods for more exotic function spaces ?

#

Because generally evry one works in L², H1

kindred aurora
#

exotic function spaces, wdym?

#

oh

astral vine
#

Is there some attempt for space like

#

Besov spaces

#

Or even Lp-based Sobolev spaces

#

Triebel-Lizorkin etc...

kindred aurora
#

yeah I think so

tired hollow
buoyant pike
#

What

tired hollow
#

!

#

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.

untold deltaBOT
#

DvaNapasa

buoyant pike
#

Is b a constant

tired hollow
#

arbitrary vector field with norm Ln bounded

#

R^n

#

sry $||\vec b||_{L^n} < C$

untold deltaBOT
#

DvaNapasa

buoyant pike
#

Ok so it's a constant vector?

tired hollow
#

its a vector function

#

with Ln norm bounded

strong maple
tired hollow
#

and this is not needed?

strong maple
#

yep

tired hollow
#

i dont really feel how because

strong maple
strong maple
tired hollow
#

this is the only IBP i know, and divergenge thm too

#

you wanna say one can write $\int_U \nabla \cdot (\vec b u) v dx = \int_{\partial U} \vec b u v dS$ ?

untold deltaBOT
#

DvaNapasa

tired hollow
#

@strong maple

strong maple
tired hollow
#

isnt the multiplication by v applied after nabla dot bu (whic h is grad bu)

#

maybe im wrong

#

cuz want to IBP this

strong maple
#

bu is a vector field

#

Because b is a vector

tired hollow
#

yes :)

strong maple
#

Therefore, you can take the divergence of bu

tired hollow
#

right but it makes hard when multiplied by v at the end

#

:(

strong maple
#

Wdym

#

I wrote down an identity

#

You only need to use div thm

tired hollow
#

lemme write by hand and send photo ok?

#

$\int_U [\nabla \cdot (bu)]vdx$

untold deltaBOT
#

DvaNapasa

tired hollow
#

this is the order right?

strong maple
#

Yes

tired hollow
#

$\int_U [\nabla \cdot (bu)]vdx = \int \nabla \cdot [(bu) v]dx - \int (bu) \nabla vdx$

untold deltaBOT
#

DvaNapasa

tired hollow
#

?

strong maple
#

Yes

tired hollow
#

now applying div thm for first summand

#

on RHS?

strong maple
#

Yes

tired hollow
#

$\int_U [\nabla \cdot (bu)]vdx = \int_{dU} \vec \nu \cdot [(bu) v]dS - \int_U (bu) \cdot \nabla vdx$

#

right? :D

strong maple
#

Yes

tired hollow
#

WHOOO HOOO

strong maple
#

And v has null trace

#

(Btw highlight that is bu dot grad v)

untold deltaBOT
#

DvaNapasa

tired hollow
#

?

strong maple
brave bay
#

@strong maple how are you justifying the integration by parts? wasn't their b only assumed to lie in L^n?

tired hollow
#

b is n dimensional vector field whose norm is bounded in L^n

buoyant pike
#

Integration by parts is defined for weak derivatives isn’t it

tired hollow
#

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

tired hollow
#

then can make use of bilinear mapping

strong maple
#

(L^inf)^n?

tired hollow
#

L^n?

buoyant pike
#

Oh b is smooth

#

Lol

#

C infinity

brave bay
#

lol

tired hollow
#

D: is this bad?

buoyant pike
#

That and b in Ln are very different

brave bay
#

kinda important/useful info to include

tired hollow
#

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)

buoyant pike
tired hollow
buoyant pike
#

Someone deleted their message

strong maple
astral vine
tired hollow
#

thank you :)

#

its ok

astral vine
# tired hollow

Assume there is two solutions, take the difference and wrote the associated variationnal problem for the variationnal solution

tired hollow
#

thanks a lot! =)

astral vine
#

To solve it You will need Sharp Sobolev embeddings and Holder Inequality

#

Then it implicitly assume that n, the dimension, is greater than 2

astral vine
#

I will do (a) for you arguments should work similarly for (b)

untold deltaBOT
#

Anatole

#

Anatole

strong maple
#

i like and hate the fact that you have a formula for the constant lol

astral vine
#

The formula is Kind of "simple" in the L² case

strong maple
#

ig, but isnt it sufficient poincare ineq and set c0 small enough?

astral vine
#

No

#

How could you get a control on the Ln norm of b with only use of Poincaré inequality ?

strong maple
#

wdym? we want control on the bilinear form in function of the norm of b

#

(and the norm of u)

astral vine
#

Yes but it is asked for Ln norm of b

#

espicially Ln norm of b

#

how do you make it appear

strong maple
#

the domain is bounded, so holder

astral vine
#

That's what I did

#

If you want to avoid Sobolev embeddings just write exponents

strong maple
#

i didnt noticed that you didnt replaced grad u with u

astral vine
#

you will see you are going to deal with some troubles

strong maple
#

i mean, you need to bound below by the norm of u in the right space

#

thats why i said poincare

astral vine
#

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

untold deltaBOT
#

Anatole

astral vine
#

But if you use it

#

you must ask for a smaller value of c_0

strong maple
#

yeah, ik

astral vine
#

So you disallow few solutions

strong maple
#

but for the sake of simplicity ig

astral vine
#

there is not simplicity since you know the fact, right ?

#

Oh fuck

#

I just realized

#

to me $d=n$

untold deltaBOT
#

Anatole

astral vine
#

in above solution

tired hollow
#

It seems that this course is giving many mental issues not only to me

verbal nebula
astral vine
#

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

eager bison
#

Hello! can anyone recommend a book or any material that explains sturm-liouville problems intuitively?

astral vine
#

what do you mean ?

eager bison
#

most of the pdfs I've seen were too abstract

astral vine
#

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

eager bison
#

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!

astral vine
#

geometric interpretation ?

eager bison
#

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

astral vine
#

Try to investigate the following Sturm Liouville operator on [-1,1], there is no such "geometric interpretation", as you said. Consider $$L= -\frac{\dd}{\dd x}\left[(1-x^2)\frac{\dd}{\dd x}\right]$$

untold deltaBOT
#

Anatole

astral vine
#

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

verbal nebula
#

Now I'm trying to learn more about Monge-Ampere

astral vine
astral vine
#

Orlicz-Lebesgue /Sobolev spacessully

verbal nebula
#

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"

verbal nebula
#

Then fully non-linear elliptic equations by Xabre and Caffarrelli

junior bloom
#

Han and Lin good, need to read it too

verbal nebula
junior bloom
#

It's PDEs, it's never short

#

1 page of PDEs is like 100 pages of normal math

verbal nebula
#

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

strong nimbus
#

I'm trying to find the stationary condition for this functional

#

The Euler-Lagrange equation gives me $1=Cy\sqrt{1+(y')^2}$

untold deltaBOT
#

ImHackingXD

strong nimbus
#

Did I make a mistake midway? I don't see a way to solve for y here

late moth
#

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]

untold deltaBOT
late moth
#

@strong nimbus

strong nimbus
#

Since my function doesn't depend explicitly of x, I used the formula
$$
f-y^{\prime} \frac{\partial f}{\partial y^{\prime}}=C
$$

untold deltaBOT
#

ImHackingXD

strong nimbus
#

where $f=\frac{\sqrt{1+\left(y^{\prime}\right)^{2}}}{y}$

untold deltaBOT
#

ImHackingXD

late moth
#

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

strong nimbus
#

Separable how? Probably being blind right now, sorry

late moth
#

y’ = \pm \sqrt{1-(Cy)^2}/(Cy) @strong nimbus

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

late moth
#

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

junior bloom
#

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.

untold deltaBOT
#

teafortwo

astral vine
#

Is Omega smooth ?

astral vine
#

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

junior bloom
#

@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

astral vine
#

Without smoothness assumpiton , say C² boundary, you cannot expect to control the gradient with the curl and the divergence

junior bloom
#

Hm, since I'm fine with purely local control, I think we can assume \Omega is a smooth ball.

#

In this case.

astral vine
#

But the interesting fact is the boundary

#

right ?

#

I don't know if C^0 boundary is sufficient to guarantee a Stokes a theorem

junior bloom
#

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?

astral vine
#

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 ?

junior bloom
#

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.

astral vine
#

Ask v to be in H^1_0

junior bloom
#

We can say it behaves like a density.

astral vine
#

this became equivalent to say that $v$ lies in the orthogonal set of $\nabla f$ in the L² sense

untold deltaBOT
#

Anatole

astral vine
#

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 ?

junior bloom
#

Yes, I'm fine with it only being weak, but I'm still puzzling out whether I can be happy with v Sobolev.

astral vine
#

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 $$v\in N(\nabla f) + [\text{conditions ...}] \iff v=0$$

untold deltaBOT
#

Anatole

astral vine
#

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

untold deltaBOT
#

Anatole

junior bloom
#

That's a hard ask to give physical meaning.

astral vine
#

We don't do that here

#

But orthogonality with respect to a gradient should have a deep physical interpretation right

#

?

junior bloom
#

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.

astral vine
#

L²(\Omega,\mathbb{R}^d) = { \nabla f}^\perp \oplus \mathrm{Span}(\nabla f)

brisk granite
#

Is this an appropriate channel to ask about hermite function?

astral vine
#

Depends on what properties of Hermite functions

#

which I recall are not Hermite polynomials

brisk granite
#

So can I ask about it? I have a troubling problem

astral vine
#

ask

brisk granite
#

I do not understand how the first step after eqn 1 is happening.

astral vine
#

Putting 0 in the whole equation

#

then expend the product

#

terms by terms at the top and the bottom of the fraction

brisk granite
#

Then how do I get n! Here?

#

In the denominator

#

I've done I've still not understood

astral vine
#

can you give me the book reference please ?

brisk granite
astral vine
#

yes

brisk granite
#

It's HK Dass & Dr. Rama Verma

#

Mathematical Physics

astral vine
#

there is an error

#

there is many errors

brisk granite
#

Okay what is that error(s)?

astral vine
#

${H}{2n}(x) = \sum{k=0}^{n}(-1)^k \dfrac{(2n)!}{k!(2n-2k)!}(2x)^{2n-2k}$

untold deltaBOT
#

Anatole

astral vine
#

This is the real formula

brisk granite
#

Sure?

astral vine
#

Sure

brisk granite
#

Okay

astral vine
#

some k's where replace by few x

brisk granite
#

But what happens if I put x=0? Won't the term become 0?

astral vine
#

no

brisk granite
#

The 2x part

astral vine
#

what happends to the term k=n

#

you get 0^0