Solve Bounded $u_t=u_xx$ Let $u_t=u_xx,\,t>0,\,x\in\mathbb R$

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Discussion Overview

The discussion revolves around solving the partial differential equation \(u_t = u_{xx}\) for \(t > 0\) and \(x \in \mathbb{R}\) with the initial condition \(u(x,0) = xe^{-|x|}\). Participants explore methods to show that \(|u(x,t)| \le \frac{K}{\sqrt{t}}\) for all \(t > 0\) and \(x \in \mathbb{R}\), focusing on the application of Fourier transforms and representation formulas.

Discussion Character

  • Technical explanation
  • Mathematical reasoning
  • Homework-related

Main Points Raised

  • One participant applies the Fourier transform to the equation and derives \(\mathcal{F}(u)(w,t) = ce^{-w^2t}\), questioning the validity of the initial condition.
  • Another participant provides a representation formula for \(u\) and uses Hölder's inequality to establish a bound on \(|u(x,t)|\), suggesting that the integral of the initial condition \(g(y)\) can be used to show the desired result.
  • A third participant requests clarification on how the representation formula for \(u(x,t)\) was derived, expressing confusion about the initial condition.
  • A fourth participant notes a difference in the definition of the Fourier transform and suggests that the solution can be expressed in terms of an exponential factor involving the initial condition, indicating a method to arrive at the desired formula.

Areas of Agreement / Disagreement

Participants express varying approaches to the problem, with some uncertainty regarding the initial condition and the definitions used for the Fourier transform. No consensus is reached on the correctness of the initial condition or the methods employed.

Contextual Notes

There are indications of differing definitions of the Fourier transform among participants, which may affect the interpretation of results. The initial condition's application and its implications for the solution remain unresolved.

Markov2
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Let $u_t=u_xx,\,t>0,\,x\in\mathbb R$ and $u(x,0)=xe^{-|x|}.$ Show that $|u(x,t)|\le \dfrac K{\sqrt t}$ for all $t>0$ and $x\in\mathbb R$ where $K$ is a constant.

So I apply Fourier transform, then $\mathcal F(u_t)=\mathcal F(u_xx)$ then $\dfrac{{\partial \mathcal F(u)(w,t)}}{{\partial t}} = - {w^2}\mathcal F(u)(w,t)$ so $\mathcal F(u)(w,t)=ce^{-w^2t}$ then $\mathcal F(u)(w,0)=c=xe^{-|x|},$ is the initial condition well put? I'm not sure really, I'm confused.
 
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Since you have a representation formula for \(u\), everything's easier. You have

$$u(x,t)= \frac{1}{\sqrt{4\pi t} } \int_{\mathbb{R}} e^{\frac{(x-y)^2}{4t}}g(y)dy$$

This gives, using Hölder's inequality with \(p=1, p'=\infty\)

$$|u(x,t)|\leq \frac{1}{\sqrt{4\pi t} } \int_{\mathbb{R}} |g(y)|dy$$

since \(\sup_x e^{\frac{(x)^2}{4t}} = 1\) for all \(t>0\).
 
Could you please show me how did you find $u(x,t)$ ? I'm stuck on the initial condition, don't know if I did it right, can you check?
 
I won't write out everything, since apparently my definition of the Fourier transform is different (non-essentially though) from yours. You should arrive at an equation of the form \(\hat{u}_t (x,t)= c(x)\hat{u}\) (\(c(x)\) will depend on your definition of the transform) with the initial condition \(u(x,0)=\hat{f}(x)\) (where \(f\) is your initial condition). This has a solution given by \(\hat{u}(x,t)=\hat{f}(x) e^{c(x)t}\). Put the exponential as the Fourier transform of someone and apply the result that says the transform of a convolution is the product of the transforms along with the inversion theorem. This should give you my formula.
 
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