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 Page 1


Section 3
Integral Equations
Integral Operators and Linear Integral Equations
As we saw in Section 1 on operator notation, we work with functions de?ned in some
suitable function space. For example, f (x), g(x) may live in the space of continuous real-
valued functions on [a,b], i.e. C(a,b). We also saw that it is possible to de?ne integral as
well as di?erential operatorsacting on functions. Theorem 2.8 isan example ofan integral
operator:
u(x) =
Z
b
a
G(x,y)f (y)dy,
where G(x,y) is a Green’s function.
De?nition 3.1: An integral operator, K, is an integral of the form
Z
b
a
K(x,y)f (y)dy,
where K(x,y) is a given (real-valued) function of two variables, called the kernel.
The integral equation
Kf = g
maps a function f to a new function g in the interval [a,b], e.g.
K : C[a,b]? C[a,b], K : f 7? g.
Theorem 3.2: The integral operator K is linear
K(af +ßg)= aKf +ßKg.
Example 1: The Laplace Transform is an integral operator
Lf =
Z
8
0
exp(-sx)f (x)dx =
¯
f (s),
with kernel K(x,s) = K(s,x) = exp(-sx). Let us recap its important properties.
Theorem 3.3:
(i) L

df
dx

= s
¯
f (s)-f (0),
(ii) L

d
2
f
dx
2

= s
2
¯
f (s)-sf (0)-f
'
(0),
(iii) L
Z
x
0
f (y)dy

=
1
s
¯
f (s).
(iv) Convolution: let
f (x)*g(x) =
Z
x
0
f (y)g(x-y)dy
then
L(f (x)*g(x)) =
¯
f (s)¯ g(s).
Page 2


Section 3
Integral Equations
Integral Operators and Linear Integral Equations
As we saw in Section 1 on operator notation, we work with functions de?ned in some
suitable function space. For example, f (x), g(x) may live in the space of continuous real-
valued functions on [a,b], i.e. C(a,b). We also saw that it is possible to de?ne integral as
well as di?erential operatorsacting on functions. Theorem 2.8 isan example ofan integral
operator:
u(x) =
Z
b
a
G(x,y)f (y)dy,
where G(x,y) is a Green’s function.
De?nition 3.1: An integral operator, K, is an integral of the form
Z
b
a
K(x,y)f (y)dy,
where K(x,y) is a given (real-valued) function of two variables, called the kernel.
The integral equation
Kf = g
maps a function f to a new function g in the interval [a,b], e.g.
K : C[a,b]? C[a,b], K : f 7? g.
Theorem 3.2: The integral operator K is linear
K(af +ßg)= aKf +ßKg.
Example 1: The Laplace Transform is an integral operator
Lf =
Z
8
0
exp(-sx)f (x)dx =
¯
f (s),
with kernel K(x,s) = K(s,x) = exp(-sx). Let us recap its important properties.
Theorem 3.3:
(i) L

df
dx

= s
¯
f (s)-f (0),
(ii) L

d
2
f
dx
2

= s
2
¯
f (s)-sf (0)-f
'
(0),
(iii) L
Z
x
0
f (y)dy

=
1
s
¯
f (s).
(iv) Convolution: let
f (x)*g(x) =
Z
x
0
f (y)g(x-y)dy
then
L(f (x)*g(x)) =
¯
f (s)¯ g(s).
Recall that a di?erential equation is an equation containing an unknown function under
a di?erential operator. Hence, we have the same for an integral operator.
De?nition 3.4: An integral equation is an equation containing an unknown function
under an integral operator.
De?nition 3.5: (a) A linear Fredholm integral equation of the ?rst kind has the
form
Kf = g,
Z
b
a
K(x,y)f (y)dy = g(x);
(b) A linear Fredholm integral equation of the second kind has the form
f-?Kf = g, f (x)-?
Z
b
a
K(x,y)f (y)dy = g(x),
where the kernel K(x,y) and forcing (or inhomogeneous) term g(x) are known functions
and f (x) is the unknown function. Also, ? (?R orC) is a parameter.
De?nition 3.6: If g(x)= 0 the integral equation is called homogeneous and a value of
? for which
?Kf = f
possesses a non-trivial solution f is called aneigenvalue ofK corresponding to theeigen-
function f.
Note: ? is the reciprocal of what we have previously called an eigenvalue.
De?nition 3.7 Volterra integral equations of the ?rst and second kind take the
forms
(a)
Z
x
a
K(x,y)f (y)dy = g(x),
(b)
f (x)-?
Z
x
a
K(x,y)f (y)dy = g(x),
respectively.
Note: Volterra equations may be considered a special case of Fredholm equations. Sup-
pose a= y= b and put
K
1
(x,y) =

K(x,y) for a= y= x,
0 for x < y= b,
then
Z
b
a
K
1
(x,y)f (y)dy =
Z
x
a
+
Z
b
x

K
1
(x,y)f (y)dy =
Z
x
a
K(x,y)f (y)dy+0.
Page 3


Section 3
Integral Equations
Integral Operators and Linear Integral Equations
As we saw in Section 1 on operator notation, we work with functions de?ned in some
suitable function space. For example, f (x), g(x) may live in the space of continuous real-
valued functions on [a,b], i.e. C(a,b). We also saw that it is possible to de?ne integral as
well as di?erential operatorsacting on functions. Theorem 2.8 isan example ofan integral
operator:
u(x) =
Z
b
a
G(x,y)f (y)dy,
where G(x,y) is a Green’s function.
De?nition 3.1: An integral operator, K, is an integral of the form
Z
b
a
K(x,y)f (y)dy,
where K(x,y) is a given (real-valued) function of two variables, called the kernel.
The integral equation
Kf = g
maps a function f to a new function g in the interval [a,b], e.g.
K : C[a,b]? C[a,b], K : f 7? g.
Theorem 3.2: The integral operator K is linear
K(af +ßg)= aKf +ßKg.
Example 1: The Laplace Transform is an integral operator
Lf =
Z
8
0
exp(-sx)f (x)dx =
¯
f (s),
with kernel K(x,s) = K(s,x) = exp(-sx). Let us recap its important properties.
Theorem 3.3:
(i) L

df
dx

= s
¯
f (s)-f (0),
(ii) L

d
2
f
dx
2

= s
2
¯
f (s)-sf (0)-f
'
(0),
(iii) L
Z
x
0
f (y)dy

=
1
s
¯
f (s).
(iv) Convolution: let
f (x)*g(x) =
Z
x
0
f (y)g(x-y)dy
then
L(f (x)*g(x)) =
¯
f (s)¯ g(s).
Recall that a di?erential equation is an equation containing an unknown function under
a di?erential operator. Hence, we have the same for an integral operator.
De?nition 3.4: An integral equation is an equation containing an unknown function
under an integral operator.
De?nition 3.5: (a) A linear Fredholm integral equation of the ?rst kind has the
form
Kf = g,
Z
b
a
K(x,y)f (y)dy = g(x);
(b) A linear Fredholm integral equation of the second kind has the form
f-?Kf = g, f (x)-?
Z
b
a
K(x,y)f (y)dy = g(x),
where the kernel K(x,y) and forcing (or inhomogeneous) term g(x) are known functions
and f (x) is the unknown function. Also, ? (?R orC) is a parameter.
De?nition 3.6: If g(x)= 0 the integral equation is called homogeneous and a value of
? for which
?Kf = f
possesses a non-trivial solution f is called aneigenvalue ofK corresponding to theeigen-
function f.
Note: ? is the reciprocal of what we have previously called an eigenvalue.
De?nition 3.7 Volterra integral equations of the ?rst and second kind take the
forms
(a)
Z
x
a
K(x,y)f (y)dy = g(x),
(b)
f (x)-?
Z
x
a
K(x,y)f (y)dy = g(x),
respectively.
Note: Volterra equations may be considered a special case of Fredholm equations. Sup-
pose a= y= b and put
K
1
(x,y) =

K(x,y) for a= y= x,
0 for x < y= b,
then
Z
b
a
K
1
(x,y)f (y)dy =
Z
x
a
+
Z
b
x

K
1
(x,y)f (y)dy =
Z
x
a
K(x,y)f (y)dy+0.
Conversion of ODEs to integral equations
Example 2: Boundary value problems
Let
Lu(x) = ??(x)u(x)+g(x)
where L is a linear ODE operator as in Section 1 (of at least second order), ?(x) > 0 is
continuous, g(x)ispiecewise continuousandtheunknown u(x)issubject tohomogeneous
boundary conditions at x = a,b.
Suppose L has a known Green’s function under the given boundary conditions, G(x,y)
say, then applying Theorem 2.10,
u(x) =
Z
b
a
G(x,y)[??(y)u(y)+g(y)]dy
= ?
Z
b
a
G(x,y)?(y)u(y)dy+
Z
b
a
G(x,y)g(y)dy
= ?
Z
b
a
G(x,y)?(y)u(y)dy+h(x).
The latter is a Fredholm integral equation of the second kind with kernel G(x,y)?(y)and
forcing term
h(x) =
Z
b
a
G(x,y)g(y)dy.
The ODE and integral equation are equivalent: solving the ODE subject to the BCs is
equivalent to solving the integral equation.
Example 3: Initial value problems
Let
u
''
(x)+a(x)u
'
(x)+b(x)u(x) = g(x),
where u(0) = a and u
'
(0) = ß and a(x), b(x) and g(x) are known functions.
Change dummy variable from x to y and then Integrate with respect to y from 0 to z :
Z
z
0
u
''
(y)dy+
Z
x
0
a(y)u
'
(y)dy+
Z
z
0
b(y)u(y)dy =
Z
z
0
g(y)dy
and using integration by parts, with u = a, v
'
= u
'
, on the second term on the left hand
side
[u
'
(y)]
x
0
+[a(y)u(y)]
z
0
-
Z
z
0
a
'
(y)u(y)dy+
Z
z
0
b(y)u(y)dy =
Z
z
0
g(y)dy,
yields
u
'
(z)-ß +a(z)u(z)-a(0)a-
Z
z
0
[a
'
(y)-b(y)]u(y)dy =
Z
z
0
g(y)dy.
Integrating now with respect to z over 0 to x gives
[u(z)]
x
0
-ßx+
Z
x
0
a(z)u(z)dz-a(0)ax (3.1)
-
Z
x
0
Z
z
0
[a
'
(y)-b(y)]u(y)dydz
=
Z
x
0
Z
z
0
g(y)dydz.
Page 4


Section 3
Integral Equations
Integral Operators and Linear Integral Equations
As we saw in Section 1 on operator notation, we work with functions de?ned in some
suitable function space. For example, f (x), g(x) may live in the space of continuous real-
valued functions on [a,b], i.e. C(a,b). We also saw that it is possible to de?ne integral as
well as di?erential operatorsacting on functions. Theorem 2.8 isan example ofan integral
operator:
u(x) =
Z
b
a
G(x,y)f (y)dy,
where G(x,y) is a Green’s function.
De?nition 3.1: An integral operator, K, is an integral of the form
Z
b
a
K(x,y)f (y)dy,
where K(x,y) is a given (real-valued) function of two variables, called the kernel.
The integral equation
Kf = g
maps a function f to a new function g in the interval [a,b], e.g.
K : C[a,b]? C[a,b], K : f 7? g.
Theorem 3.2: The integral operator K is linear
K(af +ßg)= aKf +ßKg.
Example 1: The Laplace Transform is an integral operator
Lf =
Z
8
0
exp(-sx)f (x)dx =
¯
f (s),
with kernel K(x,s) = K(s,x) = exp(-sx). Let us recap its important properties.
Theorem 3.3:
(i) L

df
dx

= s
¯
f (s)-f (0),
(ii) L

d
2
f
dx
2

= s
2
¯
f (s)-sf (0)-f
'
(0),
(iii) L
Z
x
0
f (y)dy

=
1
s
¯
f (s).
(iv) Convolution: let
f (x)*g(x) =
Z
x
0
f (y)g(x-y)dy
then
L(f (x)*g(x)) =
¯
f (s)¯ g(s).
Recall that a di?erential equation is an equation containing an unknown function under
a di?erential operator. Hence, we have the same for an integral operator.
De?nition 3.4: An integral equation is an equation containing an unknown function
under an integral operator.
De?nition 3.5: (a) A linear Fredholm integral equation of the ?rst kind has the
form
Kf = g,
Z
b
a
K(x,y)f (y)dy = g(x);
(b) A linear Fredholm integral equation of the second kind has the form
f-?Kf = g, f (x)-?
Z
b
a
K(x,y)f (y)dy = g(x),
where the kernel K(x,y) and forcing (or inhomogeneous) term g(x) are known functions
and f (x) is the unknown function. Also, ? (?R orC) is a parameter.
De?nition 3.6: If g(x)= 0 the integral equation is called homogeneous and a value of
? for which
?Kf = f
possesses a non-trivial solution f is called aneigenvalue ofK corresponding to theeigen-
function f.
Note: ? is the reciprocal of what we have previously called an eigenvalue.
De?nition 3.7 Volterra integral equations of the ?rst and second kind take the
forms
(a)
Z
x
a
K(x,y)f (y)dy = g(x),
(b)
f (x)-?
Z
x
a
K(x,y)f (y)dy = g(x),
respectively.
Note: Volterra equations may be considered a special case of Fredholm equations. Sup-
pose a= y= b and put
K
1
(x,y) =

K(x,y) for a= y= x,
0 for x < y= b,
then
Z
b
a
K
1
(x,y)f (y)dy =
Z
x
a
+
Z
b
x

K
1
(x,y)f (y)dy =
Z
x
a
K(x,y)f (y)dy+0.
Conversion of ODEs to integral equations
Example 2: Boundary value problems
Let
Lu(x) = ??(x)u(x)+g(x)
where L is a linear ODE operator as in Section 1 (of at least second order), ?(x) > 0 is
continuous, g(x)ispiecewise continuousandtheunknown u(x)issubject tohomogeneous
boundary conditions at x = a,b.
Suppose L has a known Green’s function under the given boundary conditions, G(x,y)
say, then applying Theorem 2.10,
u(x) =
Z
b
a
G(x,y)[??(y)u(y)+g(y)]dy
= ?
Z
b
a
G(x,y)?(y)u(y)dy+
Z
b
a
G(x,y)g(y)dy
= ?
Z
b
a
G(x,y)?(y)u(y)dy+h(x).
The latter is a Fredholm integral equation of the second kind with kernel G(x,y)?(y)and
forcing term
h(x) =
Z
b
a
G(x,y)g(y)dy.
The ODE and integral equation are equivalent: solving the ODE subject to the BCs is
equivalent to solving the integral equation.
Example 3: Initial value problems
Let
u
''
(x)+a(x)u
'
(x)+b(x)u(x) = g(x),
where u(0) = a and u
'
(0) = ß and a(x), b(x) and g(x) are known functions.
Change dummy variable from x to y and then Integrate with respect to y from 0 to z :
Z
z
0
u
''
(y)dy+
Z
x
0
a(y)u
'
(y)dy+
Z
z
0
b(y)u(y)dy =
Z
z
0
g(y)dy
and using integration by parts, with u = a, v
'
= u
'
, on the second term on the left hand
side
[u
'
(y)]
x
0
+[a(y)u(y)]
z
0
-
Z
z
0
a
'
(y)u(y)dy+
Z
z
0
b(y)u(y)dy =
Z
z
0
g(y)dy,
yields
u
'
(z)-ß +a(z)u(z)-a(0)a-
Z
z
0
[a
'
(y)-b(y)]u(y)dy =
Z
z
0
g(y)dy.
Integrating now with respect to z over 0 to x gives
[u(z)]
x
0
-ßx+
Z
x
0
a(z)u(z)dz-a(0)ax (3.1)
-
Z
x
0
Z
z
0
[a
'
(y)-b(y)]u(y)dydz
=
Z
x
0
Z
z
0
g(y)dydz.
This can be simpli?ed by appealing to the following theorem.
Theorem 3.8: For any f (x),
Z
x
0
Z
z
0
f (y)dydz =
Z
x
0
(x-y)f (y)dy.
Proof: Interchanging the order of integration over the triangular domain in the yz-plane
reveals that the integral equals
Z
x
0
Z
z
0
f (y)dydz =
Z
x
0
f (y)
Z
x
y
dzdy
which is trivially integrated over z to give
Z
x
0
(x-y)f (y)dy
asrequired. Alternatively,integratingtherepeatedintegralbypartswithu(z) =
R
z
0
f (y)dy,
v
'
(z) = 1, i.e. u
'
(z) = f (z), v(z) = z, gives
Z
x
0
Z
z
0
f (y)dydz =

z
Z
z
0
f (y)dy

z=x
z=0
-
Z
x
0
zf (z)dz
= x
Z
x
0
f (y)dy-
Z
x
0
zf (z)dz
=
Z
x
0
xf (y)dy-
Z
x
0
yf (y)dy.

Returning to equation (3.1), it may now be written as
u(x)-a-ßx-a(0)ax+
Z
x
0
a(y)u(y)dy
-
Z
x
0
(x-y)[a
'
(y)-b(y)]u(y)dy
=
Z
x
0
(x-y)g(y)dy.
Thus,
u(x)+
Z
x
0
{a(y)-(x-y)[a
'
(y)-b(y)]}u(y)dy
=
Z
x
0
(x-y)g(y)dy+[ß +a(0)a]x+a.
This is a Volterra integral equation of the second kind.
Notes:
(1) BVPs correspond to Fredholm equations.
(2) Initial value problems (IVPs) correspond to Volterra equations.
(3) The integral equation formulation implicitly contains the boundary/initial conditions;
in the ODE they are imposed separately.
Page 5


Section 3
Integral Equations
Integral Operators and Linear Integral Equations
As we saw in Section 1 on operator notation, we work with functions de?ned in some
suitable function space. For example, f (x), g(x) may live in the space of continuous real-
valued functions on [a,b], i.e. C(a,b). We also saw that it is possible to de?ne integral as
well as di?erential operatorsacting on functions. Theorem 2.8 isan example ofan integral
operator:
u(x) =
Z
b
a
G(x,y)f (y)dy,
where G(x,y) is a Green’s function.
De?nition 3.1: An integral operator, K, is an integral of the form
Z
b
a
K(x,y)f (y)dy,
where K(x,y) is a given (real-valued) function of two variables, called the kernel.
The integral equation
Kf = g
maps a function f to a new function g in the interval [a,b], e.g.
K : C[a,b]? C[a,b], K : f 7? g.
Theorem 3.2: The integral operator K is linear
K(af +ßg)= aKf +ßKg.
Example 1: The Laplace Transform is an integral operator
Lf =
Z
8
0
exp(-sx)f (x)dx =
¯
f (s),
with kernel K(x,s) = K(s,x) = exp(-sx). Let us recap its important properties.
Theorem 3.3:
(i) L

df
dx

= s
¯
f (s)-f (0),
(ii) L

d
2
f
dx
2

= s
2
¯
f (s)-sf (0)-f
'
(0),
(iii) L
Z
x
0
f (y)dy

=
1
s
¯
f (s).
(iv) Convolution: let
f (x)*g(x) =
Z
x
0
f (y)g(x-y)dy
then
L(f (x)*g(x)) =
¯
f (s)¯ g(s).
Recall that a di?erential equation is an equation containing an unknown function under
a di?erential operator. Hence, we have the same for an integral operator.
De?nition 3.4: An integral equation is an equation containing an unknown function
under an integral operator.
De?nition 3.5: (a) A linear Fredholm integral equation of the ?rst kind has the
form
Kf = g,
Z
b
a
K(x,y)f (y)dy = g(x);
(b) A linear Fredholm integral equation of the second kind has the form
f-?Kf = g, f (x)-?
Z
b
a
K(x,y)f (y)dy = g(x),
where the kernel K(x,y) and forcing (or inhomogeneous) term g(x) are known functions
and f (x) is the unknown function. Also, ? (?R orC) is a parameter.
De?nition 3.6: If g(x)= 0 the integral equation is called homogeneous and a value of
? for which
?Kf = f
possesses a non-trivial solution f is called aneigenvalue ofK corresponding to theeigen-
function f.
Note: ? is the reciprocal of what we have previously called an eigenvalue.
De?nition 3.7 Volterra integral equations of the ?rst and second kind take the
forms
(a)
Z
x
a
K(x,y)f (y)dy = g(x),
(b)
f (x)-?
Z
x
a
K(x,y)f (y)dy = g(x),
respectively.
Note: Volterra equations may be considered a special case of Fredholm equations. Sup-
pose a= y= b and put
K
1
(x,y) =

K(x,y) for a= y= x,
0 for x < y= b,
then
Z
b
a
K
1
(x,y)f (y)dy =
Z
x
a
+
Z
b
x

K
1
(x,y)f (y)dy =
Z
x
a
K(x,y)f (y)dy+0.
Conversion of ODEs to integral equations
Example 2: Boundary value problems
Let
Lu(x) = ??(x)u(x)+g(x)
where L is a linear ODE operator as in Section 1 (of at least second order), ?(x) > 0 is
continuous, g(x)ispiecewise continuousandtheunknown u(x)issubject tohomogeneous
boundary conditions at x = a,b.
Suppose L has a known Green’s function under the given boundary conditions, G(x,y)
say, then applying Theorem 2.10,
u(x) =
Z
b
a
G(x,y)[??(y)u(y)+g(y)]dy
= ?
Z
b
a
G(x,y)?(y)u(y)dy+
Z
b
a
G(x,y)g(y)dy
= ?
Z
b
a
G(x,y)?(y)u(y)dy+h(x).
The latter is a Fredholm integral equation of the second kind with kernel G(x,y)?(y)and
forcing term
h(x) =
Z
b
a
G(x,y)g(y)dy.
The ODE and integral equation are equivalent: solving the ODE subject to the BCs is
equivalent to solving the integral equation.
Example 3: Initial value problems
Let
u
''
(x)+a(x)u
'
(x)+b(x)u(x) = g(x),
where u(0) = a and u
'
(0) = ß and a(x), b(x) and g(x) are known functions.
Change dummy variable from x to y and then Integrate with respect to y from 0 to z :
Z
z
0
u
''
(y)dy+
Z
x
0
a(y)u
'
(y)dy+
Z
z
0
b(y)u(y)dy =
Z
z
0
g(y)dy
and using integration by parts, with u = a, v
'
= u
'
, on the second term on the left hand
side
[u
'
(y)]
x
0
+[a(y)u(y)]
z
0
-
Z
z
0
a
'
(y)u(y)dy+
Z
z
0
b(y)u(y)dy =
Z
z
0
g(y)dy,
yields
u
'
(z)-ß +a(z)u(z)-a(0)a-
Z
z
0
[a
'
(y)-b(y)]u(y)dy =
Z
z
0
g(y)dy.
Integrating now with respect to z over 0 to x gives
[u(z)]
x
0
-ßx+
Z
x
0
a(z)u(z)dz-a(0)ax (3.1)
-
Z
x
0
Z
z
0
[a
'
(y)-b(y)]u(y)dydz
=
Z
x
0
Z
z
0
g(y)dydz.
This can be simpli?ed by appealing to the following theorem.
Theorem 3.8: For any f (x),
Z
x
0
Z
z
0
f (y)dydz =
Z
x
0
(x-y)f (y)dy.
Proof: Interchanging the order of integration over the triangular domain in the yz-plane
reveals that the integral equals
Z
x
0
Z
z
0
f (y)dydz =
Z
x
0
f (y)
Z
x
y
dzdy
which is trivially integrated over z to give
Z
x
0
(x-y)f (y)dy
asrequired. Alternatively,integratingtherepeatedintegralbypartswithu(z) =
R
z
0
f (y)dy,
v
'
(z) = 1, i.e. u
'
(z) = f (z), v(z) = z, gives
Z
x
0
Z
z
0
f (y)dydz =

z
Z
z
0
f (y)dy

z=x
z=0
-
Z
x
0
zf (z)dz
= x
Z
x
0
f (y)dy-
Z
x
0
zf (z)dz
=
Z
x
0
xf (y)dy-
Z
x
0
yf (y)dy.

Returning to equation (3.1), it may now be written as
u(x)-a-ßx-a(0)ax+
Z
x
0
a(y)u(y)dy
-
Z
x
0
(x-y)[a
'
(y)-b(y)]u(y)dy
=
Z
x
0
(x-y)g(y)dy.
Thus,
u(x)+
Z
x
0
{a(y)-(x-y)[a
'
(y)-b(y)]}u(y)dy
=
Z
x
0
(x-y)g(y)dy+[ß +a(0)a]x+a.
This is a Volterra integral equation of the second kind.
Notes:
(1) BVPs correspond to Fredholm equations.
(2) Initial value problems (IVPs) correspond to Volterra equations.
(3) The integral equation formulation implicitly contains the boundary/initial conditions;
in the ODE they are imposed separately.
Example 4
Write the Initial Value Problem
u
''
(y)+yu
'
(y)+2u(y)= 0
subject to u(0) = a,u
'
(0) = ß as a Volterra integral equation.
Integrate with respect to y between 0 and z:
u
'
(z)-ß +
Z
z
0
yu
'
(y)dy+2
Z
z
0
u(y)dy = 0
Integrate second term by parts:
Z
z
0
yu
'
(y)dy = [yu(y)]
z
0
-
Z
z
0
u(y)dy,
= zu(z)-
Z
z
0
y(y)dy
and substitute back to get
u
'
(z)-ß +zu(z)+
Z
z
0
u(y)dy = 0.
Integrate again, with respect to z between 0 and x:
u(x)-a-ßx+
Z
x
0
zu(z)dz +
Z
x
0
Z
z
0
u(y)dydz = 0.
Change dummy variable in ?rst integral term to y and use Theorem 3.8 in last term to
get
u(x)-a-ßx+
Z
x
0
yu(y)dy+
Z
x
0
(x-y)u(y)= 0
Simpli?cation gives
u(x)+x
Z
x
0
u(y)dy = a+ßx.
Read More
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FAQs on Linear Integral Equation of the First and Second Kind of Fredholm and Volterra Type (Part - 1) - Mathematics for IIT JAM, GATE, CSIR NET, UGC NET

1. What is a linear integral equation of the first kind?
Ans. A linear integral equation of the first kind is an equation in which the unknown function appears under the integral sign. It can be written as: $$\int_{a}^{b} K(x,t) f(t) dt = g(x)$$ where K(x,t) is the kernel function, f(t) is the unknown function, and g(x) is the given function.
2. What is a linear integral equation of the second kind?
Ans. A linear integral equation of the second kind is an equation in which the unknown function appears both inside and outside the integral sign. It can be written as: $$f(x) + \lambda \int_{a}^{b} K(x,t) f(t) dt = g(x)$$ where K(x,t) is the kernel function, f(x) is the unknown function, g(x) is the given function, and λ is a constant.
3. What is the difference between Fredholm and Volterra type integral equations?
Ans. The difference between Fredholm and Volterra type integral equations lies in the limits of integration. In a Fredholm type integral equation, the limits of integration are fixed, while in a Volterra type integral equation, the limits of integration depend on the variable of integration. In other words, Fredholm equations have fixed limits, whereas Volterra equations have variable limits.
4. What are the applications of linear integral equations?
Ans. Linear integral equations have various applications in physics, engineering, and applied mathematics. Some common applications include: - Calculating the distribution of temperature in a solid body. - Modeling the propagation of electromagnetic waves in different media. - Solving boundary value problems in heat conduction. - Analyzing the transmission and reflection of waves in waveguides. - Studying population dynamics in biological systems.
5. How are linear integral equations solved?
Ans. Linear integral equations can be solved using various methods, including: - Method of successive approximations: This involves solving the equation iteratively by making an initial guess for the unknown function and improving it in each iteration. - Fredholm Alternative Theorem: This theorem provides conditions for the existence and uniqueness of solutions to linear integral equations. - Green's function method: This method involves finding the Green's function associated with the integral equation and using it to solve the equation. - Numerical methods: For complex or higher-dimensional problems, numerical methods such as numerical quadrature or finite element methods can be used to approximate the solution.
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