Solution of Heat Equation Through Fourier Series.

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Homework Help Overview

The discussion revolves around solving the Heat Equation with inhomogeneous boundary conditions for a rod using Fourier Series. The original poster attempts to derive the coefficients for the series but encounters difficulties specifically with the coefficient c_n, leading to confusion regarding the treatment of odd and even solutions.

Discussion Character

  • Mixed

Approaches and Questions Raised

  • Participants explore the derivation of the coefficient c_n through integration and the implications of odd and even solutions. Questions arise regarding the consistency of initial conditions and the interpretation of discontinuities in the solution.

Discussion Status

Some participants provide guidance on how to approach the odd-even solution dilemma, suggesting that both solutions could be considered. Others question the reasoning behind treating the functions as odd or even and propose alternative methods for combining the results. The discussion reflects a lack of consensus on the best approach to take.

Contextual Notes

There are constraints regarding the initial conditions provided, which may lead to confusion about the continuity of the solution at specific points. The original poster acknowledges a need for clarification on the initial conditions and their implications for the solution.

Je m'appelle
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OK, so I was trying to solve the Heat Equation with Inhomogeneous boundary conditions for a rod through Fourier Series when I got stuck at the solution for the coefficient c_n, the part where I'm stuck is highlighted in red.

The following is just a step-by-step solution of how I got to c_n.

Heat Equation

\alpha^2 \frac{\partial^2}{\partial x^2}u(x,t) = \frac{\partial}{\partial t}u(x,t)

Initial Conditions


1. u(0,t) = T_1 = 20,\ u(30,t) = T_2 = 50,\ \forall \ t > 0

2. u(x,0) = 60 - 2x \ \forall \ 0 < x < 30

3. \alpha^2 = 1


Solution

So the general solution would be the steady-state temperature v(x) plus the transient temperature w(x,t) such as

u(x,t) = v(x) + w(x,t)

I found out that

v(x) = 20 + x

f(x) = u(x,0) + v(x) = w(x,0) + v(x) = 80 - x

Then by evaluating the general expression for the nonhomogeneous heat equation I got to

u(x,t) = T_1 + (T_2 - T_1)\frac{x}{L} + \sum_{n=1}^{+\infty} c_n e^{-\frac{n^2 \pi^2 \alpha^2}{L^2}t} sin(\frac{n \pi x}{L})

Where

c_n = \frac{2}{L}\int_{0}^{L} [f(x) - (T_2 - T_1)\frac{x}{L} - T_1] sin(\frac{n \pi x}{L}) dx

My struggling begins here, at c_n, let's evaluate it.

By using the initial conditions it can be rewritten as

c_n = \frac{1}{15}\int_{0}^{30} (60 - 2x) sin(\frac{n \pi x}{30}) dx

I'll break it into two integrals as follows

c_n = \frac{1}{15}\int_{0}^{30} 60 sin(\frac{n \pi x}{30}) dx - \frac{1}{15}\int_{0}^{30} 2x sin(\frac{n \pi x}{30})dx

c_n = (I) + (II)

Let's solve the integrals separately, solving (I) first

(I) = 4 \int_{0}^{30} sin(\frac{n \pi x}{30}) dx

(I) = \frac{120}{n \pi}(-cos(n \pi) + 1)

Now here, I can consider two solutions, (I) = 0 for n ''even'' or (I) = \frac{240}{n \pi} for n ''odd''.

Now, solving (II)

(II) = \frac{2}{15}\int_{0}^{30} x sin(\frac{n \pi x}{30}) dx

(II) = \frac{120}{n \pi}(\frac{sin(n\pi)}{\pi} - cos(n \pi))

Now, sin(n\pi) = 0 for n ''odd'' or ''even'', therefore the solution of (II) becomes

(II) = \frac{120}{n \pi}( - cos(n \pi))

Which will be \frac{120}{n \pi} for n ''odd'' or -\frac{120}{n \pi}for n ''even''.

So as you can see, I have two possible solutions for c_n which happens when either n is ''odd'' or ''even'', my question is, which one should I consider? The one for all n ''odd'' or the one for all n ''even''?

Like, if I carry on I would eventually get to

For all n ''odd'':

c_n = (I)_{odd} + (II)_{odd}

c_n = \frac{120}{n\pi}

u(x,t) = (20 + x) + \frac{120}{\pi}\sum_{n=1,3,5,...}^{+\infty} \frac{1}{n} e^{-\frac{n^2 \pi^2}{900}t} sin(\frac{n \pi x}{30})

For all n ''even'':

c_n = (I)_{even} + (II)_{even}

c_n = -\frac{120}{n\pi}

u(x,t) = (20 + x) - \frac{120}{\pi}\sum_{n=2,4,6,...}^{+\infty} \frac{1}{n} e^{-\frac{n^2 \pi^2}{900}t} sin(\frac{n \pi x}{30})

So which solution should I use? The one for the n ''odd'' or the one for n ''even''?
 
Last edited:
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How it is that your two different conditions give one u(0,0)=20 and the second one u(0,0)=60?
 
arkajad said:
How it is that your two different conditions give one u(0,0)=20 and the second one u(0,0)=60?

They don't.

For u(x,0) = 60 - 2x

we have 0 < x < 30

and for u(0,t) = 20

we have t > 0.

I guess I haven't specified it very clear in the initial conditions on the original post, I'll edit that.

Here's the problem:

[PLAIN]http://img3.imageshack.us/img3/4238/ff212.jpg
 
Last edited by a moderator:
From (19) you have discontinuity at x=0? For t=0 you have u(0+,0)=60-0=60
And for t>0 you have u(0,t)=20. Just checking ...
 
Last edited:
As for your odd-even problem: why don't you use odd solution for odd n and even solution for even n? I do not get it. After all you have to sum over n from 1 to infinity...
 
Hey, I think I've got it, listen

Je m'appelle said:
For all n ''odd'':

c_n = (I)_{odd} + (II)_{odd}

c_n = \frac{120}{n\pi}

u(x,t) = (20 + x) + \frac{120}{\pi}\sum_{n=1,3,5,...}^{+\infty} \frac{1}{n} e^{-\frac{n^2 \pi^2}{900}t} sin(\frac{n \pi x}{30})

For all n ''even'':

c_n = (I)_{even} + (II)_{even}

c_n = -\frac{120}{n\pi}

u(x,t) = (20 + x) - \frac{120}{\pi}\sum_{n=2,4,6,...}^{+\infty} \frac{1}{n} e^{-\frac{n^2 \pi^2}{900}t} sin(\frac{n \pi x}{30})

So which solution should I use? The one for the n ''odd'' or the one for n ''even''?

\frac{1}{n} e^{-\frac{n^2 \pi^2}{900}t} sin(\frac{n \pi x}{30})

is an even function right?

As both

(\frac{1}{n}e^{-\frac{n^2 \pi^2}{900}t}) and sin(\frac{n \pi x}{30}) are odd functions, their product is an even function and therefore, for even functions

f(-x) = f(x)

So I guess

\frac{120}{\pi}\sum_{n=1,3,5,...}^{+\infty} \frac{1}{n} e^{-\frac{n^2 \pi^2}{900}t} sin(\frac{n \pi x}{30}) = \frac{120}{\pi}\sum_{n=2,4,6,...}^{+\infty} (\frac{-1}{n}) e^{-\frac{n^2 \pi^2}{900}t} sin(\frac{n \pi x}{30})

And therefore as both solutions are equal for all n I can rewrite it as

u(x,t) = (20 + x) + \frac{60}{\pi}\sum_{n=1}^{+\infty} \frac{1}{n} e^{-\frac{n^2 \pi^2}{900}t} sin(\frac{n \pi x}{30})

What do you say? Is this acceptable?
 
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I do not understand what you are doing. You have 0<x<30, so the question of even-odd functions should not even arise. The exponential is a constant function (as a function of x), why you call it odd? Why don't you just add two sums, one for n even, one for n odd, including your (I) and (II) and simplifying according to the case?
 
arkajad said:
I do not understand what you are doing. You have 0<x<30, so the question of even-odd functions should not even arise. The exponential is a constant function (as a function of x), why you call it odd? Why don't you just add two sums, one for n even, one for n odd, including your (I) and (II) and simplifying according to the case?

Oh, you're right, what was I doing? :-p Never mind the previous post. I guess I'll just add the two sums then.

Thanks arkajad.
 
You started with the substitution

u(x,t) = v(x) + w(x,t)

This will give you w(x,0) = u(x,0) - v(x). You have correctly determined that v(x) = 20 + x so you should have

w(x,0) = 60 - 2x - (20 + x) = 40 - 3x.

It looks to me like you are copying a general answer from a text instead of understanding what you are doing. You should be solving the W system:

wxx(x,t) = wt(x,t)
w(0,t) = 0, w(0,30) = 0
w(x,0) = 40 - 3x.

Once you get w(x,t) you will add v(x) to it to get the solution. Eventually you should come to the Fourier series

40 - 3x = \sum_{n = 1}^{\infty}b_n\sin\frac{n\pi}{30}x

for which you can use the half range sine coefficients. Don't break it into odd and even, just calculate them.
 

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