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Steady State-2D-Heat Equation: Kalpana Mahalingam March 2020

This document discusses solving the 2D steady-state heat equation using separation of variables. It considers the heat equation on a rectangular region with Dirichlet boundary conditions. Using separation of variables, it obtains solutions of the form F(x)G(y) and applies the boundary conditions to determine coefficients. The general solution is a Fourier series involving sin(nx/a)sinh(ny/a) terms, with coefficients determined from the boundary data.

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0% found this document useful (0 votes)
159 views3 pages

Steady State-2D-Heat Equation: Kalpana Mahalingam March 2020

This document discusses solving the 2D steady-state heat equation using separation of variables. It considers the heat equation on a rectangular region with Dirichlet boundary conditions. Using separation of variables, it obtains solutions of the form F(x)G(y) and applies the boundary conditions to determine coefficients. The general solution is a Fourier series involving sin(nx/a)sinh(ny/a) terms, with coefficients determined from the boundary data.

Uploaded by

vanaj123
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
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Download as PDF, TXT or read online on Scribd
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Steady State- 2D-Heat Equation

Kalpana Mahalingam
March 2020

In this section, we study the solutions of 2D heat equation(steady


state-2D heat equation) that do not vary with time, also called as
2D-Laplacian.
2 ∂ 2u ∂ 2u
∇ u= 2+ 2 (1)
∂x ∂y
A heat problem then consists of this PDE to be considered in some re-
gion R of the xy-plane and a given boundary condition on the boundary
curve C of R. This is a boundary value problem (BVP). If u is pre-
scribed on C (“Dirichlet boundary condition”) then the BVP is called
First BVP or Dirichlet Problem.

Dirichlet Problem on a rectangle :

We consider a Dirichlet problem for Laplace’s equation (1) in a


rectangle R, assuming that the temperature equals a given function
f (x) on the upper side and 0 on the other three sides of the rectangle
and 0 ≤ x ≤ a, 0 ≤ y ≤ b.

Separation of Variables :

1
K.Mahalingam 2D-Laplacian

We use separation of variables technique to solve the given problem.


Let,
u(x, y) = F (x)G(y)
Then, the equation (1) becomes,
00 00
00 00 F (x) G (y)
F (x)G(y) + F (x)G (y) = 0, =⇒ =− =k
F (x) G(y)
where k is a constant.
We now obtain two ODE’s
00 00
F (x) − kF (x) = 0, G (y) + kG(y) = 0

Solving, for F , we get,


√ √
kx − kx
F (x) = Ae + Be

Substituting the boundary conditions F (0) = F (a) = 0, we get,


√ √
F (0) = A + B = 0, F (a) = A(e ka − e− ka
)=0
 nπ 2
=⇒ k =
a
and hence,  nπx 
F (x) = Fn (x) = sin
a
Now solving for G similarly, we get
nπy nπy
Gn (y) = An e a + Bn e− a

Now applying the boundary condition u = 0 on the lower side of rect-


angle, we get Gn (0) = 0 which implies,

Gn (0) = An + Bn = 0, =⇒ An = −Bn
K.Mahalingam 2D-Laplacian

Now applying the condition u(x, b) = f (x) implies that G(b) = f (x)
and substituting in Gn , we get
nπb nπb nπy
Gn (b) = An (e a − An e− a ) = 2An sinh
a
Hence, the general solution of the 2D-Laplacian is
 nπx   nπy 

u(x, y) = Fn (x)Gn (y) = An sin sinh
a a
Since, the given equation is linear, a linear combination of solutions is
also a solution and hence,
X  nπx   nπy 

u(x, y) = An sin sinh
n≥0
a a

We now apply the last boundary condition u(x, b) = f (x) implies


G(b) = f (x). Then,
X  nπx   nπb 
u(x, b) = f (x) = A∗n sin sinh
n≥0
a a

and hence, by Fourier series,


 nπb  2 Z a  nπx 

An sinh = f (x) sin dx
a a 0 a
Hence, X  nπx   nπy 
u(x, y) = A∗n sin sinh
n≥0
a a
with Z a
2  nπx 
A∗n =   f (x) sin dx
a sinh nπb 0 a
a

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