Inhomogeneous Dirichlet problem in a rectangle

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The discussion focuses on solving the inhomogeneous Dirichlet problem defined by a partial differential equation within a rectangular domain. The initial approach involves finding a steady-state solution, leading to the formulation of a homogeneous problem using separation of variables. The boundary conditions are applied to derive a Fourier series representation for the solution. The conversation highlights the use of alternative eigenfunctions, specifically hyperbolic sine functions, which simplify the solution process. Ultimately, the participants explore the transformation of terms and the derivation of coefficients necessary for the final solution.
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Homework Statement


Solve the problem
\begin{cases}
u_{xx} + u_{yy} = y, \; \; 0 < x < 2, \; \; 0 < y < 1\\
u(x,0)=0, \; \; u(x,1)=0\\
u(0,y)=y-y^3, \; \; y(2,y)=0.
\end{cases}

Homework Equations


N/A

The Attempt at a Solution


I start by trying to find a steady-state solution ##u_0(y)## (or I guess a solution independent of ##x## since we don't have a time variable). We have
##u_0''=y \Longrightarrow y = \frac{y^3}{6}+ay+b##. The boundary values ##u(x,0)=0, \; \; u(x,1)=0## give us that ##u_0 = \frac{y^3-y}{6}##.

Setting ##u = v+u_0## we end up with the new homogeneous problem
\begin{cases}v_{xx}+v_{yy}=0\\
v(x,0) = 0, \; \; v(x,1)=0\\
v(0,y) = \frac{7}{6}(y-y^3), \; \; v(2,y)=\frac{y-y^3}{6}\end{cases}
Separation of variables give us
##X(x) = c_1\cosh \lambda x + c_2 \sinh \lambda x## and
##Y(y) = c_3\cos \lambda y + c_3\sin \lambda y##.
The boundary conditions ##v(x,0) = 0, \; \; v(x,1)=0## give us that ##c_3=0## and ##\lambda = n\pi##. We then have solutions of the form
##v(x,y) = \sum_1^\infty \left( a_n\cosh n\pi x + b_n \sinh n\pi x \right) \sin n\pi y##.
Imposing the boundary condition ##v(0,y) = \frac{7}{6}(y-y^3)## we have that
##\frac{7}{6}(y-y^3) = \sum_1^\infty a_n \sin n\pi y##. Calculating the Fourier coefficients we have that
##a_n = \frac{7}{3}\int_0^1 (y-y^3)\sin n\pi y dy = \frac{14 (-1)^{n-1}}{\pi^3 n^3}##.
So we have
##v(x,y) = \sum_1^\infty \left( \frac{14 (-1)^{n-1}}{\pi^3 n^3}\cosh n\pi x + b_n \sinh n\pi x \right) \sin n\pi y##. Imposing the other boundary condition ##v(2,y)=\frac{y-y^3}{6}## we get
##\frac{y-y^3}{6} =\sum_1^\infty \left( \frac{14 (-1)^{n-1}}{\pi^3 n^3}\cosh n\pi 2 + b_n \sinh n\pi 2 \right) \sin n\pi y## at which point I'm stuck not knowing how to proceed.

The answer should be
##u(x,y) = \frac{1}{6}(y^3-y)+\frac{2}{\pi^3}\sum_1^\infty \frac{(-1)^{n-1}}{n^3\sinh 2n \pi} (\sinh n\pi x + 7 \sinh n\pi(2-x) )\sin n\pi y##.
I guess they choose the eigenfunction basis to the Sturm-Liouville problem as
##\sinh n\pi x## and ##\sinh n\pi (2-x)## instead which work just as well. Is there a way I can get the answer in this form or do I have to redo every calculation with these eigenfunctions?
 
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Well, you know that <br /> \frac{14(-1)^{n-1}}{n^3 \pi^3}\cosh 2n\pi + b_n \sinh 2n\pi must be equal to the \sin n\pi y coefficient in the Fourier series for (y - y^3)/6 - which you know, because you've just calculated the Fourier series of 7(y - y^3)/6. Then, if you wish, use the hyperbolic sine addition rule \sinh (a + b) = \sinh a \cosh b + \cosh a \sinh b to express your linear combination of hyperbolic sines and cosines as a linear combination of \sinh n\pi x and \sinh n\pi(2-x).

But the natural choice of eigenfunctions here is indeed \sinh n\pi x \sin n\pi y and \sinh n\pi (2 - x) \sin n\pi y: The boundary condition on x = 2 is just \frac17 times that on x = 0. Thus if X_{n,1} and X_{n,2} are linear combinations of e^{n\pi x} and e^{-n\pi x} subject to X_{n,1}(0) = 1, X_{n,1}(2) = 0 and X_{n,2}(0) = 0, X_{n,2}(1) = 1 then <br /> v(x,y) = \sum_{n=1}^\infty a_n (X_{n,1}(x) + \tfrac17 X_{n,2}(x)) \sin n\pi y where a_n is obtained from the Fourier expansion on x = 0. And on investigation we find <br /> X_{n,1}(x) = \frac{\sinh n\pi (2 - x)}{\sinh 2n\pi}, \\<br /> X_{n,2}(x) = \frac{\sinh n\pi x}{\sinh 2n\pi}.
 
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The alternative eigenfunctions really made it a lot easier. How would I go about finding them in the first place? or are they just something you get from experience where someone just happened upon them? Our book does indeed suggest them for a similar example problem but doesn't explain how they got them in the first place.

As for transforming the the ##\cosh ## and ##\sinh## I think I got it right
##\frac{2(-1)^{n-1}}{\pi^3 n^3} = \frac{14 (-1)^{n-1}}{n^3\pi^3}\cosh 2n\pi + b_n \sinh 2n\pi##
Rearranging we have
##b_n= \frac{2(-1)^{n-1}(1-7\cosh 2n\pi)}{\pi^3 n^3 \sinh 2n\pi}##. Our expansion is then
##v(x,y) = \frac{2}{\pi^3}\sum_1^\infty \frac{(-1)^{n-1}\sin n\pi y}{n^3 \sinh 2n\pi} \left(7 \sinh 2n\pi \cosh n\pi x + (1-7\cosh 2n\pi)\sinh n\pi x \right)##
So I want to show that ##(\sinh 2n\pi \cosh n\pi x-\cosh 2n\pi \sinh n\pi x) = \sinh n\pi (2-x)## which follow immediately from your addition rule.
 
Question: A clock's minute hand has length 4 and its hour hand has length 3. What is the distance between the tips at the moment when it is increasing most rapidly?(Putnam Exam Question) Answer: Making assumption that both the hands moves at constant angular velocities, the answer is ## \sqrt{7} .## But don't you think this assumption is somewhat doubtful and wrong?

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