Background for the Fundamental Matrix
We seek a solution of a
homogeneous first order linear system of
differential equations.For illustration purposes we consider the
case:
First, write the system in vector and matrix form
.
Then, find the
eigenvalues and
eigenvectors of the matrix,denote
the eigenpairs ofAby
and.
Assumption.Assume that there are two
linearly independent eigenvectors
,
which correspond to the eigenvalues
,
respectively.Then two linearly independent solution toare
,and
.
Definition (Fundamental Matrix Solution)The
fundamental matrix solution,is
formed by using the two column vectors.
(1).
The general solution tois
the linear combination
(2).
It can be written in matrix form using the fundamental matrix solutionas
follows
.
Notation.When we introduce the
notation
,
and
The fundamental matrix solutioncan
be written as
(3).
or
(4).
The initial condition
If we desire to have the initial condition,then
this produces the equation
.
The vector of constant
can be solved as follows
.
The solution with the prescribed initial conditions is
.
Observe thatwhere
is the identity matrix.This leads us to make the following important
definition
Definition (Matrix
Exponential)Ifis
a fundamental matrix solution to,then
the matrix exponential is defined to be
.
Notation. This can be written as
(5),
or
(6).
Fact.For a
system, the initial condition is
,
and the solution with the initial condition
is
,
or
.
Theorem (Matrix
Diagonalization)The eigen
decomposition of a
square matrix A is
,
which exists when A has a full set of
eigenpairsfor,and
d is the diagonal matrix
and
is the augmented matrix whose columns are the eigenvectors of
A.
.
Matrix power
How do you compute the higher powers of a matrix ?For example, given
then
,
and
,etc.
The higher powers seem to be intractable!But if we have an eigen
decomposition, then we are permitted to write
and
in general
Fact.For amatrix
this is
which can be simplified
Theorem (Series Representation for the
Matrix Exponential)The
solution to
is given by the series
,which becomes
and has the simplified form
,
or
.
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