
14.5 Definition of a Green’s Function 449
14.4 Adjoint and Self Adjoint Operator
In a matrix domain we can have a set of linear equations which can be
expressed in a matrix form as
A
n×m
x
m×1
=
b
n×1
(14.14)
for an n × m system where n and m are respectively the numb er of rows and
number of columns. Here A is a rectangular matrix, x is a column vector of
unknowns and b is a column vector of kn own quantities or par ameters. Its
adjoint system (Lanczos 1941) is
A
m×n
T
y
n×1
=
C
m×1
(14.15)
where A
T
is the transpose of A. A
T
is termed as the adjoint operator of A. If
A
T
=A=A
−1
, the matrix system is termed as a self adjoint matrix and the
operator A
T
is termed as the self adjoint operator. For a square symmetric
matrix we get the condition A = A
T
=A
−1
.
For a linear o r linear differential op erator L, we define L
∗
as the com-
plex conjugate transpose of L. Taking into account the similarities in the
behaviours of a matrix and that of a linear or linear differential operator, we
define the adjoint operator as
(ψ, LΦ) = (L
∗
ψ, Φ) (14.16)
where L =
d
dx
, the differential op erator. If L = L
∗
, the operator is a self adjoint
operator.
14.5 Definition of a Green’s Function
Green’s function is an inverse integral operator in a self adjoint system. It is
a response due to a source of unit strength or an unit impulse response. It
becomes a kernel function in Fredhom’s or Volterra’s integral equations.
The Green’s function is derived to find the effect of Delta function source
at a field point. It’s form depends upon whether the point is in free space
or there is a sur face in the vicinity. Let us take a lin ear differential equation
written i n the general form as
L(r) φ(r) = f(r) (14.17)
where L(r) is a linea r, self adjoint differential operator, φ(r) is an unknown
function to be determined and f(r) is a known inhomogeneous or nonzero term.
The solution of this equation is
φ(r) = L
−1
f(r) (14.18)