Heat equation in the first quadrant.

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SUMMARY

The discussion focuses on solving the heat equation \( u_t = u_{xx} + u_{yy} \) in the first quadrant of \(\mathbb{R}^2\) with boundary conditions \( u(0,y,t) = u(x,0,t) = 0 \) and an initial temperature distribution defined by \( f(x,y) \). The solution approach involves separation of variables, leading to the eigenvalue problem with positive eigenvalues represented as \( \lambda_1 = \gamma_1^2 \) and \( \lambda_2 = \gamma_2^2 \). The final solution is expressed as a weighted integral of the separated variables' solutions, with the function \( \alpha(\gamma_1, \gamma_2) \) determined through a double Fourier sine transform of \( f(x,y) \).

PREREQUISITES
  • Understanding of partial differential equations (PDEs)
  • Knowledge of separation of variables technique
  • Familiarity with Fourier transforms, specifically Fourier sine transforms
  • Basic concepts of eigenvalues and eigenfunctions in differential equations
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  • Learn about Fourier sine transforms and their applications in solving PDEs
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Homework Statement


Solve the heat equation [itex]u_t=u_{xx}+u_{yy}[/itex] fot [itex]t>0[/itex] in the first quadrant of [itex]\mathbb{R}^2[/itex]. The boundary conditions are [itex]u(0,y,t)=u(x,0,t)=0[/itex] and the initial temperature distribution is
[tex] f(x,y)=<br /> \begin{cases}<br /> 1 \;\;\;\; \text{in the square } \; 0<x<1; \; 0<y<1 \\<br /> 0 \;\;\;\; \text{elsewhere}<br /> \end{cases}[/tex]

The Attempt at a Solution


I can solve problems in finite domains, ie where enough boundary conditions are given to determine the countable infinite set of eigenvalues. This problem is on a semi-infinite domain, with insufficient boundary conditions to do so. I have come to understand that to solve such a problem, one replaces "the sum over eigenvalues" with an integral of the solutions obtained by separation of variables, over the (roots of the) eigenvalues.

This is where I got (detailed derivations not typed out)

Separation of variables (solutions of the form [itex]u=X(x)Y(y)T(t)[/itex] gives ODEs
[tex] \begin{cases}<br /> -\ddot{X} = \lambda_1 \;\;\;\;\;\;\;\;\;\;\;\; X(0)=0\\<br /> -\ddot{Y} = \lambda_2 \;\;\;\;\;\;\;\;\;\;\;\; Y(0)=0\\<br /> \dot{T}=-(\lambda_1+\lambda_2)T<br /> \end{cases}[/tex]

The "eigenvalues" can be shown to be all positive. So let [itex]\lambda_1 = \gamma_1^2[/itex] and [itex]\lambda_2 = \gamma_2^2[/itex]. With [itex]\gamma_1[/itex] and [itex]\gamma_2[/itex] both positive.

The solutions are
[tex] X(x)=\sin(\gamma_1 x) [/tex]
[tex] Y(y)=\sin(\gamma_2 y) [/tex]
[tex] T(t) = e^{-(\gamma_1^2 + \gamma_2^2)t}[/tex]

So the solution for separated variables is
[tex] u(x,y,t)=\sin(\gamma_1 x)\sin(\gamma_2 y) e^{-(\gamma_1^2 + \gamma_2^2)t}[/tex]

Since there are solutions for every positive [itex]\gamma_1[/itex] and [itex]\gamma_2[/itex], we can't determine eigenvalues like in regular problems. We write the final solution as a weighed integral of the solution for separated variables, with respect to the gamma's.

[tex] u(x,y,t) = \int_0^\infty\int_0^\infty d\gamma_1 d\gamma_2 \alpha(\gamma_1, \gamma_2) \sin(\gamma_1 x)\sin(\gamma_2 y) e^{-(\gamma_1^2 + \gamma_2^2)t}[/tex]The function [itex]\alpha(\gamma_1,\gamma_2)[/itex] is determined by the initial conditions:

[tex] f(x,y) = u(x,y,0) = \int_0^\infty\int_0^\infty d\gamma_1 d\gamma_2 \alpha(\gamma_1, \gamma_2) \sin(\gamma_1 x)\sin(\gamma_2 y) [/tex]

And here I'm stuck, how do I determine alpha?Any help is much appreciated,
A_B
 
Last edited:
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Fourier transform ;)
 
I solved it, the last formula expresses f(x,y) as a double Fourier sine transform of α(γ_1, γ_2). So taking the inverse Fourier sine transform of f(x,y) twice gives α.

A_B
 

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