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Matrix Exponential

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Matrix Exponential

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 [Graphics:Images/MatrixExponentialMod_gr_1.gif] case:

[Graphics:Images/MatrixExponentialMod_gr_2.gif]
[Graphics:Images/MatrixExponentialMod_gr_3.gif]

First, write the system in vector and matrix form[Graphics:Images/MatrixExponentialMod_gr_4.gif]

[Graphics:Images/MatrixExponentialMod_gr_5.gif].

Then, find the eigenvalues and eigenvectors of the matrix[Graphics:Images/MatrixExponentialMod_gr_6.gif],denote the eigenpairs ofAby

[Graphics:Images/MatrixExponentialMod_gr_7.gif]and[Graphics:Images/MatrixExponentialMod_gr_8.gif].

Assumption.Assume that there are two linearly independent eigenvectors [Graphics:Images/MatrixExponentialMod_gr_9.gif], which correspond to the eigenvalues [Graphics:Images/MatrixExponentialMod_gr_10.gif], respectively.Then two linearly independent solution to[Graphics:Images/MatrixExponentialMod_gr_11.gif]are

[Graphics:Images/MatrixExponentialMod_gr_12.gif],and
[Graphics:Images/MatrixExponentialMod_gr_13.gif].

Definition (Fundamental Matrix Solution)The fundamental matrix solution[Graphics:Images/MatrixExponentialMod_gr_14.gif],is formed by using the two column vectors[Graphics:Images/MatrixExponentialMod_gr_15.gif].

(1)[Graphics:Images/MatrixExponentialMod_gr_16.gif].

The general solution to[Graphics:Images/MatrixExponentialMod_gr_17.gif]is the linear combination

(2)[Graphics:Images/MatrixExponentialMod_gr_18.gif].

It can be written in matrix form using the fundamental matrix solution[Graphics:Images/MatrixExponentialMod_gr_19.gif]as follows

[Graphics:Images/MatrixExponentialMod_gr_20.gif].

Notation.When we introduce the notation

[Graphics:Images/MatrixExponentialMod_gr_21.gif],
and
[Graphics:Images/MatrixExponentialMod_gr_22.gif]

The fundamental matrix solution[Graphics:Images/MatrixExponentialMod_gr_23.gif]can be written as

(3)[Graphics:Images/MatrixExponentialMod_gr_24.gif].
or
(4)[Graphics:Images/MatrixExponentialMod_gr_25.gif].

The initial condition[Graphics:Images/MatrixExponentialMod_gr_26.gif]

If we desire to have the initial condition[Graphics:Images/MatrixExponentialMod_gr_27.gif],then this produces the equation

[Graphics:Images/MatrixExponentialMod_gr_28.gif].

The vector of constant [Graphics:Images/MatrixExponentialMod_gr_29.gif] can be solved as follows

[Graphics:Images/MatrixExponentialMod_gr_30.gif].

The solution with the prescribed initial conditions is

[Graphics:Images/MatrixExponentialMod_gr_31.gif].

Observe that[Graphics:Images/MatrixExponentialMod_gr_32.gif]where[Graphics:Images/MatrixExponentialMod_gr_33.gif] is the identity matrix.This leads us to make the following important definition

Definition (Matrix Exponential)If[Graphics:Images/MatrixExponentialMod_gr_34.gif]is a fundamental matrix solution to[Graphics:Images/MatrixExponentialMod_gr_35.gif],then the matrix exponential is defined to be

[Graphics:Images/MatrixExponentialMod_gr_36.gif].

Notation. This can be written as

(5)[Graphics:Images/MatrixExponentialMod_gr_37.gif],
or
(6)[Graphics:Images/MatrixExponentialMod_gr_38.gif].

Fact.For a [Graphics:Images/MatrixExponentialMod_gr_39.gif] system, the initial condition is

[Graphics:Images/MatrixExponentialMod_gr_40.gif],

and the solution with the initial condition[Graphics:Images/MatrixExponentialMod_gr_41.gif] is

[Graphics:Images/MatrixExponentialMod_gr_42.gif],
or
[Graphics:Images/MatrixExponentialMod_gr_43.gif].

Theorem (Matrix Diagonalization)The eigen decomposition of a[Graphics:Images/MatrixExponentialMod_gr_44.gif] square matrix A is

[Graphics:Images/MatrixExponentialMod_gr_45.gif],

which exists when A has a full set of eigenpairs[Graphics:Images/MatrixExponentialMod_gr_46.gif]for[Graphics:Images/MatrixExponentialMod_gr_47.gif],and d is the diagonal matrix

[Graphics:Images/MatrixExponentialMod_gr_48.gif]
and
[Graphics:Images/MatrixExponentialMod_gr_49.gif]

is the augmented matrix whose columns are the eigenvectors of A.

[Graphics:Images/MatrixExponentialMod_gr_50.gif].

Matrix power[Graphics:Images/MatrixExponentialMod_gr_51.gif]

How do you compute the higher powers of a matrix ?For example, given[Graphics:Images/MatrixExponentialMod_gr_52.gif]
then
[Graphics:Images/MatrixExponentialMod_gr_53.gif],
and
[Graphics:Images/MatrixExponentialMod_gr_54.gif],etc.

The higher powers seem to be intractable!But if we have an eigen decomposition, then we are permitted to write

[Graphics:Images/MatrixExponentialMod_gr_59.gif]
and
[Graphics:Images/MatrixExponentialMod_gr_60.gif]
in general
[Graphics:Images/MatrixExponentialMod_gr_61.gif]

Fact.For a[Graphics:Images/MatrixExponentialMod_gr_62.gif]matrix this is

[Graphics:Images/MatrixExponentialMod_gr_63.gif]

which can be simplified

[Graphics:Images/MatrixExponentialMod_gr_64.gif]

Theorem (Series Representation for the Matrix Exponential)The solution to[Graphics:Images/MatrixExponentialMod_gr_75.gif] is given by the series

[Graphics:Images/MatrixExponentialMod_gr_76.gif] ,which becomes

[Graphics:Images/MatrixExponentialMod_gr_77.gif]

and has the simplified form

[Graphics:Images/MatrixExponentialMod_gr_78.gif],
or
[Graphics:Images/MatrixExponentialMod_gr_79.gif].



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