Mathematics Exam  >  Mathematics Notes  >  Mathematics for IIT JAM, GATE, CSIR NET, UGC NET  >  Method of Separation of Variables for Laplace Equation - CSIR-NET Mathematical Sciences

Method of Separation of Variables for Laplace Equation - CSIR-NET Mathematical Sciences | Mathematics for IIT JAM, GATE, CSIR NET, UGC NET PDF Download

Download, print and study this document offline
Please wait while the PDF view is loading
 Page 1


4.2 Laplace’s equation
The two dimensional Laplace’s equation is
u
xx
+ u
yy
= 0 (4.120)
We will show that a separation of variables also works for this equation
As an example consider the boundary conditions
u(x, 0) = 0, u(x, 1) = x¡ x
2
(4.121a)
u(0, y) = 0, u(1, 0) = 0. (4.121b)
If we assume separable solutions of the form
u(x, y) = X(x)Y(y), (4.122)
then substituting this into (4.120) gives
X
00
Y+ XY
00
= 0. (4.123)
Dividing by XY and expanding gives
X
00
X
+
Y
00
Y
= 0, (4.124)
and since each term is only a function of x or y, then each must be constant
giving
X
00
X
= l,
Y
00
Y
=¡l. (4.125)
From the ?rst of (4.121a) and both of (4.121b) we deduce the boundary
conditions
X(0) = 0, X(1) = 0, Y(0) = 0. (4.126)
Page 2


4.2 Laplace’s equation
The two dimensional Laplace’s equation is
u
xx
+ u
yy
= 0 (4.120)
We will show that a separation of variables also works for this equation
As an example consider the boundary conditions
u(x, 0) = 0, u(x, 1) = x¡ x
2
(4.121a)
u(0, y) = 0, u(1, 0) = 0. (4.121b)
If we assume separable solutions of the form
u(x, y) = X(x)Y(y), (4.122)
then substituting this into (4.120) gives
X
00
Y+ XY
00
= 0. (4.123)
Dividing by XY and expanding gives
X
00
X
+
Y
00
Y
= 0, (4.124)
and since each term is only a function of x or y, then each must be constant
giving
X
00
X
= l,
Y
00
Y
=¡l. (4.125)
From the ?rst of (4.121a) and both of (4.121b) we deduce the boundary
conditions
X(0) = 0, X(1) = 0, Y(0) = 0. (4.126)
The remaining boundary condition in (4.121a) will be used later. As seen
the in previous section, in order to solve the X equation in (4.125) subject
to the boundary conditions (4.126), it is necessary to set l = ¡k
2
. The X
equation (4.125) as the general solution
X = c
1
sin kx+ c
2
cos kx (4.127)
To satisfy the boundary conditions in (4.126) it is necessary to have c
2
= 0
and k = np, k2Z
+
so
X(x) = c
1
sin npx. (4.128)
From (4.125), we obtain the solution to the Y equation
Y(y) = c
3
sinh npy+ c
4
cosh npy (4.129)
Since Y(0) = 0 this implies c
4
= 0 so
X(x)Y(y) = a
n
sin npx sinh npy (4.130)
where we have chosen a
n
= c
1
c
3
. Therefore, we obtain the solution to
(4.120) subject to three of the four boundary conditions in (4.121)
u =
¥
å
n=1
a
n
sin npx sinh npy. (4.131)
The remaining boundary condition is (4.121a) now needs to be satis?ed,
thus
u(x, 1) = x¡ x
2
=
¥
å
n=1
a
n
sin npx sinh np. (4.132)
This looks like a Fourier sine series and if we let A
n
= a
n
sinh np, this
becomes
¥
å
n=1
A
n
sin npx = x¡ x
2
. (4.133)
which is precisely a Fourier sine series. The coef?cients A
n
are given by
A
n
=
2
1
Z
2
0
³
x¡ x
2
´
sin npx dx
=
16
n
3
p
3
(1¡ cos np), (4.134)
Page 3


4.2 Laplace’s equation
The two dimensional Laplace’s equation is
u
xx
+ u
yy
= 0 (4.120)
We will show that a separation of variables also works for this equation
As an example consider the boundary conditions
u(x, 0) = 0, u(x, 1) = x¡ x
2
(4.121a)
u(0, y) = 0, u(1, 0) = 0. (4.121b)
If we assume separable solutions of the form
u(x, y) = X(x)Y(y), (4.122)
then substituting this into (4.120) gives
X
00
Y+ XY
00
= 0. (4.123)
Dividing by XY and expanding gives
X
00
X
+
Y
00
Y
= 0, (4.124)
and since each term is only a function of x or y, then each must be constant
giving
X
00
X
= l,
Y
00
Y
=¡l. (4.125)
From the ?rst of (4.121a) and both of (4.121b) we deduce the boundary
conditions
X(0) = 0, X(1) = 0, Y(0) = 0. (4.126)
The remaining boundary condition in (4.121a) will be used later. As seen
the in previous section, in order to solve the X equation in (4.125) subject
to the boundary conditions (4.126), it is necessary to set l = ¡k
2
. The X
equation (4.125) as the general solution
X = c
1
sin kx+ c
2
cos kx (4.127)
To satisfy the boundary conditions in (4.126) it is necessary to have c
2
= 0
and k = np, k2Z
+
so
X(x) = c
1
sin npx. (4.128)
From (4.125), we obtain the solution to the Y equation
Y(y) = c
3
sinh npy+ c
4
cosh npy (4.129)
Since Y(0) = 0 this implies c
4
= 0 so
X(x)Y(y) = a
n
sin npx sinh npy (4.130)
where we have chosen a
n
= c
1
c
3
. Therefore, we obtain the solution to
(4.120) subject to three of the four boundary conditions in (4.121)
u =
¥
å
n=1
a
n
sin npx sinh npy. (4.131)
The remaining boundary condition is (4.121a) now needs to be satis?ed,
thus
u(x, 1) = x¡ x
2
=
¥
å
n=1
a
n
sin npx sinh np. (4.132)
This looks like a Fourier sine series and if we let A
n
= a
n
sinh np, this
becomes
¥
å
n=1
A
n
sin npx = x¡ x
2
. (4.133)
which is precisely a Fourier sine series. The coef?cients A
n
are given by
A
n
=
2
1
Z
2
0
³
x¡ x
2
´
sin npx dx
=
16
n
3
p
3
(1¡ cos np), (4.134)
and since A
n
= a
n
sinh np, this gives
a
n
=
4(1¡(¡1)
n
)
n
3
p
3
sinh np
. (4.135)
Thus, the solution to Laplace’s equation with the boundary conditions
given in (4.121) is
u(x, y) =
4
p
3
¥
å
n=1
1¡(¡1)
n
n
3
sin npx
sinh npy
sinh np
. (4.136)
Figure 11 show both a top view and a 3¡ D view of the solution.
0.001 u  = y x 0.2 u  = 0.1 u  = 0.05 u  = 0.025 u  = 1.0
0.5
0.0
1.0 0.0 0.5
0.0
0.1
0.2
0.5
u 1.0
y 1.0
x Figure 11. The solution (4.120) with the boundary conditions (4.121)
In general, using separation of variables, the solution of
u
xx
+ u
yy
= 0, 0 < x < L
x
, 0 < y < L
y
, (4.137)
subject to
u(x, 0) = 0, u(x, 1) = f(x),
u(0, y) = 0, u(1, y) = 0,
is
u =
¥
å
n=1
b
n
sin
npx
L
x
sinh
npy
L
y
sinh
np
L
y
, (4.139)
Page 4


4.2 Laplace’s equation
The two dimensional Laplace’s equation is
u
xx
+ u
yy
= 0 (4.120)
We will show that a separation of variables also works for this equation
As an example consider the boundary conditions
u(x, 0) = 0, u(x, 1) = x¡ x
2
(4.121a)
u(0, y) = 0, u(1, 0) = 0. (4.121b)
If we assume separable solutions of the form
u(x, y) = X(x)Y(y), (4.122)
then substituting this into (4.120) gives
X
00
Y+ XY
00
= 0. (4.123)
Dividing by XY and expanding gives
X
00
X
+
Y
00
Y
= 0, (4.124)
and since each term is only a function of x or y, then each must be constant
giving
X
00
X
= l,
Y
00
Y
=¡l. (4.125)
From the ?rst of (4.121a) and both of (4.121b) we deduce the boundary
conditions
X(0) = 0, X(1) = 0, Y(0) = 0. (4.126)
The remaining boundary condition in (4.121a) will be used later. As seen
the in previous section, in order to solve the X equation in (4.125) subject
to the boundary conditions (4.126), it is necessary to set l = ¡k
2
. The X
equation (4.125) as the general solution
X = c
1
sin kx+ c
2
cos kx (4.127)
To satisfy the boundary conditions in (4.126) it is necessary to have c
2
= 0
and k = np, k2Z
+
so
X(x) = c
1
sin npx. (4.128)
From (4.125), we obtain the solution to the Y equation
Y(y) = c
3
sinh npy+ c
4
cosh npy (4.129)
Since Y(0) = 0 this implies c
4
= 0 so
X(x)Y(y) = a
n
sin npx sinh npy (4.130)
where we have chosen a
n
= c
1
c
3
. Therefore, we obtain the solution to
(4.120) subject to three of the four boundary conditions in (4.121)
u =
¥
å
n=1
a
n
sin npx sinh npy. (4.131)
The remaining boundary condition is (4.121a) now needs to be satis?ed,
thus
u(x, 1) = x¡ x
2
=
¥
å
n=1
a
n
sin npx sinh np. (4.132)
This looks like a Fourier sine series and if we let A
n
= a
n
sinh np, this
becomes
¥
å
n=1
A
n
sin npx = x¡ x
2
. (4.133)
which is precisely a Fourier sine series. The coef?cients A
n
are given by
A
n
=
2
1
Z
2
0
³
x¡ x
2
´
sin npx dx
=
16
n
3
p
3
(1¡ cos np), (4.134)
and since A
n
= a
n
sinh np, this gives
a
n
=
4(1¡(¡1)
n
)
n
3
p
3
sinh np
. (4.135)
Thus, the solution to Laplace’s equation with the boundary conditions
given in (4.121) is
u(x, y) =
4
p
3
¥
å
n=1
1¡(¡1)
n
n
3
sin npx
sinh npy
sinh np
. (4.136)
Figure 11 show both a top view and a 3¡ D view of the solution.
0.001 u  = y x 0.2 u  = 0.1 u  = 0.05 u  = 0.025 u  = 1.0
0.5
0.0
1.0 0.0 0.5
0.0
0.1
0.2
0.5
u 1.0
y 1.0
x Figure 11. The solution (4.120) with the boundary conditions (4.121)
In general, using separation of variables, the solution of
u
xx
+ u
yy
= 0, 0 < x < L
x
, 0 < y < L
y
, (4.137)
subject to
u(x, 0) = 0, u(x, 1) = f(x),
u(0, y) = 0, u(1, y) = 0,
is
u =
¥
å
n=1
b
n
sin
npx
L
x
sinh
npy
L
y
sinh
np
L
y
, (4.139)
where
b
n
=
2
L
x
Z
L
x
0
f(x) sin
npx
L
x
dx. (4.140)
In the next three examples, we will construct solutions of Laplace’s equa-
tion when we have nonzero boundary condition on each of the remaining
three sides of the region 0 < 1, 0 < y < 1.
Example 8
Solve
u
xx
+ u
yy
= 0, (4.141)
subject to
u(x, 0) = 0, u(x, 1) = 0, (4.142a)
u(0, y) = 0, u(1, y) = y¡ y
2
. (4.142b)
Assume separable solutions of the form
u(x, y) = X(x)Y(y) (4.143)
Then substituting this into (4.141) gives
X
00
Y+ XY
00
= 0. (4.144)
Dividing by XY and expanding gives
X
00
X
+
Y
00
Y
= 0, (4.145)
from which we obtain
X
00
X
= l,
Y
00
Y
=¡l (4.146)
From (4.186) we deduce the boundary conditions
X(0) = 0, Y(0) = 0, Y(1) = 0. (4.147)
Page 5


4.2 Laplace’s equation
The two dimensional Laplace’s equation is
u
xx
+ u
yy
= 0 (4.120)
We will show that a separation of variables also works for this equation
As an example consider the boundary conditions
u(x, 0) = 0, u(x, 1) = x¡ x
2
(4.121a)
u(0, y) = 0, u(1, 0) = 0. (4.121b)
If we assume separable solutions of the form
u(x, y) = X(x)Y(y), (4.122)
then substituting this into (4.120) gives
X
00
Y+ XY
00
= 0. (4.123)
Dividing by XY and expanding gives
X
00
X
+
Y
00
Y
= 0, (4.124)
and since each term is only a function of x or y, then each must be constant
giving
X
00
X
= l,
Y
00
Y
=¡l. (4.125)
From the ?rst of (4.121a) and both of (4.121b) we deduce the boundary
conditions
X(0) = 0, X(1) = 0, Y(0) = 0. (4.126)
The remaining boundary condition in (4.121a) will be used later. As seen
the in previous section, in order to solve the X equation in (4.125) subject
to the boundary conditions (4.126), it is necessary to set l = ¡k
2
. The X
equation (4.125) as the general solution
X = c
1
sin kx+ c
2
cos kx (4.127)
To satisfy the boundary conditions in (4.126) it is necessary to have c
2
= 0
and k = np, k2Z
+
so
X(x) = c
1
sin npx. (4.128)
From (4.125), we obtain the solution to the Y equation
Y(y) = c
3
sinh npy+ c
4
cosh npy (4.129)
Since Y(0) = 0 this implies c
4
= 0 so
X(x)Y(y) = a
n
sin npx sinh npy (4.130)
where we have chosen a
n
= c
1
c
3
. Therefore, we obtain the solution to
(4.120) subject to three of the four boundary conditions in (4.121)
u =
¥
å
n=1
a
n
sin npx sinh npy. (4.131)
The remaining boundary condition is (4.121a) now needs to be satis?ed,
thus
u(x, 1) = x¡ x
2
=
¥
å
n=1
a
n
sin npx sinh np. (4.132)
This looks like a Fourier sine series and if we let A
n
= a
n
sinh np, this
becomes
¥
å
n=1
A
n
sin npx = x¡ x
2
. (4.133)
which is precisely a Fourier sine series. The coef?cients A
n
are given by
A
n
=
2
1
Z
2
0
³
x¡ x
2
´
sin npx dx
=
16
n
3
p
3
(1¡ cos np), (4.134)
and since A
n
= a
n
sinh np, this gives
a
n
=
4(1¡(¡1)
n
)
n
3
p
3
sinh np
. (4.135)
Thus, the solution to Laplace’s equation with the boundary conditions
given in (4.121) is
u(x, y) =
4
p
3
¥
å
n=1
1¡(¡1)
n
n
3
sin npx
sinh npy
sinh np
. (4.136)
Figure 11 show both a top view and a 3¡ D view of the solution.
0.001 u  = y x 0.2 u  = 0.1 u  = 0.05 u  = 0.025 u  = 1.0
0.5
0.0
1.0 0.0 0.5
0.0
0.1
0.2
0.5
u 1.0
y 1.0
x Figure 11. The solution (4.120) with the boundary conditions (4.121)
In general, using separation of variables, the solution of
u
xx
+ u
yy
= 0, 0 < x < L
x
, 0 < y < L
y
, (4.137)
subject to
u(x, 0) = 0, u(x, 1) = f(x),
u(0, y) = 0, u(1, y) = 0,
is
u =
¥
å
n=1
b
n
sin
npx
L
x
sinh
npy
L
y
sinh
np
L
y
, (4.139)
where
b
n
=
2
L
x
Z
L
x
0
f(x) sin
npx
L
x
dx. (4.140)
In the next three examples, we will construct solutions of Laplace’s equa-
tion when we have nonzero boundary condition on each of the remaining
three sides of the region 0 < 1, 0 < y < 1.
Example 8
Solve
u
xx
+ u
yy
= 0, (4.141)
subject to
u(x, 0) = 0, u(x, 1) = 0, (4.142a)
u(0, y) = 0, u(1, y) = y¡ y
2
. (4.142b)
Assume separable solutions of the form
u(x, y) = X(x)Y(y) (4.143)
Then substituting this into (4.141) gives
X
00
Y+ XY
00
= 0. (4.144)
Dividing by XY and expanding gives
X
00
X
+
Y
00
Y
= 0, (4.145)
from which we obtain
X
00
X
= l,
Y
00
Y
=¡l (4.146)
From (4.186) we deduce the boundary conditions
X(0) = 0, Y(0) = 0, Y(1) = 0. (4.147)
The remaining boundary condition in (4.186) will be used later. As seen
the in previous problem, in order to solve the Y equation in (4.146) subject
to the boundary conditions (4.147), it is necessary to set l = k
2
. The Y
equation (4.146) as the general solution
Y = c
1
sin ky+ c
2
cos ky (4.148)
To satisfy the boundary conditions in (4.147) it is necessary to have c
2
= 0
and k = np so
Y(y) = c
1
sin npy. (4.149)
From (4.146), we obtain the solution to the X equation
X(x) = c
3
sinh npx+ c
4
cosh npx (4.150)
Since X(0) = 0 this implies c
4
= 0. This gives
X(x)Y(y) = a
n
sinh npx sin npy (4.151)
where we have chosen a
n
= c
1
c
3
. Therefore, we obtain
u =
¥
å
n=1
a
n
sinh npx sin npy. (4.152)
The remaining boundary condition is (4.186) now needs to be satis?ed,
thus
u(1, y) = y¡ y
2
=
¥
å
n=1
a
n
sinh np sin npy. (4.153)
If we let A
n
= a
n
sinh np, this becomes
¥
å
n=1
A
n
sin npy = y¡ y
2
. (4.154)
Comparing with previous problem, we ?nd that interchanging x and y
interchanges the two problems and thus we con conclude that
A
n
=
16
n
3
p
3
(1¡ cos np), (4.155)
Read More
556 videos|198 docs

FAQs on Method of Separation of Variables for Laplace Equation - CSIR-NET Mathematical Sciences - Mathematics for IIT JAM, GATE, CSIR NET, UGC NET

1. What is the Laplace equation and why is it important in mathematics?
Ans. The Laplace equation is a second-order partial differential equation that appears in various areas of science and mathematics, including physics, engineering, and geometry. It is named after Pierre-Simon Laplace, a French mathematician, and physicist. The equation is important because it describes the behavior of harmonic functions, which have applications in many fields such as fluid dynamics, heat conduction, and electrostatics.
2. What is the method of separation of variables for solving Laplace's equation?
Ans. The method of separation of variables is a technique used to solve partial differential equations, including Laplace's equation. In this method, the solution of the equation is assumed to be a product of functions of different variables. These functions are then substituted into the equation, and by equating the coefficients of each term to a constant, a system of ordinary differential equations is obtained. These equations can be solved individually, and the general solution is obtained by combining the solutions of the individual equations.
3. Can the method of separation of variables be applied to any partial differential equation?
Ans. No, the method of separation of variables can only be applied to certain types of partial differential equations. It is most commonly used for linear homogeneous equations with constant coefficients, such as Laplace's equation. However, it may not be applicable to equations with variable coefficients or non-linear terms. In such cases, other techniques, such as the method of characteristics or numerical methods, may be required to solve the equation.
4. What are the advantages of using the method of separation of variables?
Ans. The method of separation of variables has several advantages. Firstly, it provides a systematic approach for solving certain types of partial differential equations. It allows us to break down a complex equation into simpler ordinary differential equations, which are often easier to solve. Secondly, it provides a general solution to the equation, which can be used to obtain specific solutions by imposing appropriate boundary conditions. Lastly, the method has applications in various areas of physics and engineering, making it a valuable tool in solving real-world problems.
5. Are there any limitations or challenges associated with the method of separation of variables?
Ans. Yes, the method of separation of variables has some limitations and challenges. One limitation is that it can only be applied to equations that satisfy certain conditions, such as linearity and homogeneity. Non-linear or non-homogeneous equations may require alternative methods for solution. Additionally, the method may not always yield closed-form solutions, especially for more complex equations. In such cases, numerical methods or approximations may be necessary. Furthermore, the method relies on the assumption of separable solutions, which may not always hold true for all equations.
Explore Courses for Mathematics exam
Signup for Free!
Signup to see your scores go up within 7 days! Learn & Practice with 1000+ FREE Notes, Videos & Tests.
10M+ students study on EduRev
Related Searches

Important questions

,

CSIR NET

,

GATE

,

UGC NET

,

practice quizzes

,

ppt

,

Method of Separation of Variables for Laplace Equation - CSIR-NET Mathematical Sciences | Mathematics for IIT JAM

,

past year papers

,

Extra Questions

,

Viva Questions

,

Method of Separation of Variables for Laplace Equation - CSIR-NET Mathematical Sciences | Mathematics for IIT JAM

,

GATE

,

study material

,

video lectures

,

Objective type Questions

,

GATE

,

pdf

,

Previous Year Questions with Solutions

,

CSIR NET

,

Summary

,

UGC NET

,

Semester Notes

,

CSIR NET

,

UGC NET

,

Free

,

MCQs

,

shortcuts and tricks

,

Sample Paper

,

Method of Separation of Variables for Laplace Equation - CSIR-NET Mathematical Sciences | Mathematics for IIT JAM

,

Exam

,

mock tests for examination

;