# Homogeneous Linear Systems

Author: John J Weber III, PhD Corresponding Textbook Sections:

• Section 5.4 – Differential Operators and the Elimination Method for Systems
• Section 9.4 -- Linear Systems in Nominal Form
• Section 9.5 -- Homogeneous Linear Systems with Constant Coefficients
• Section 9.6 -- Complex Eigenvalues

## Expected Educational Results

• Objective 16–1: I can homogeneous linear systems using eigenvalues and eigenvectors.

## Homogeneous Linear Systems

### Normal Form of a System of $n$ Linear DEs

$\pmb{x}^{\,\prime}(t)=\pmb{A}(t)\pmb{x}(t)+\pmb{f}(t)$

where $\displaystyle \pmb{x}(t)=\left[ \begin{array}{c} x_1(t) \\ x_2(t) \\ \vdots \\ x_n(t) \end{array} \right]$,

$\displaystyle \pmb{f}(t)=\left[ \begin{array}{c} f_1(t) \\ f_2(t) \\ \vdots \\ f_n(t) \end{array} \right]$, and

$\displaystyle \pmb{A}(t)=\left[a_{ij}\right]$ is the $n\times n$ coefficient matrix.

NOTE: Lowercase variables in boldface are vectors; uppercase variables in boldface are matrices.

### Normal Form of a Homogenous System of $n$ Linear DEs

$\pmb{x}^{\,\prime}(t)=\pmb{A}(t)\pmb{x}(t)+\pmb{0}$

otherwise, the system is nonhomogeneous.

### Normal Form of a Homogenous System of $n$ Linear DEs with Constant Coefficients

This is the above equation where all elements, $a_{ij}$, of the coefficient matrix $\pmb{A}$ are all constants.

### Solutions to Systems of ODEs

If $\pmb{A}$ is a $n \times n$ coefficient matrix of a system of $n$ linear DEs, then $\displaystyle \text{det}\left(\pmb{A}\pmb{x}-\lambda \pmb{I}\right)=\pmb{0}$ is an $\displaystyle n^{\text{th}}$ degree polynomial in $\lambda$, called the characteristic polynomial.

#### Distinct Real Eigenvalues

Let $\displaystyle \lambda_n$ be the real eigenvalues for the characteristic polynomial corresponding to the eigenvectors $\displaystyle \pmb{v}_n$. Then the solution to the system of $n$ DEs, is

$\pmb{x}(t)=c_1e^{\lambda_1 t}\pmb{v}_1+\cdots +c_ne^{\lambda_n t}\pmb{v}_n$

Example 01:

Solve the following system of DEs.

$\begin{array}{cc} x^{\,\prime}_1 &= 3x_1+5x_2 \\ x^{\,\prime}_2 &= 6x_1-4x_2 \end{array}$

Solution:

1. Rewrite system as: $\pmb{x}^{\,\prime}=\left[\begin{array}{cc} 3 & 5 \\ 6 & -4 \end{array}\right]\pmb{x}$

2. Using technology, find the eigenvalues and corresponding eigenvectors of the coefficient matrix:

​x1(* Store the matrix [3,5; 6,-4] *)2A = {{3, 5}, {6, -4}};3​4(* Display matrix *)5(* To check that we entered the matrix correctly *)6MatrixForm[A]7​8(* Method 1 *)9(* Compute eigenvalues of matrix A *)10Eigenvalues[A]11​12(* Compute eigenvectors of matrix A *)13Eigenvectors[A]14​15(* Method 2 *)16(* Compute eigenvalues and eigenvectors *)17Eigensystem[A]

Warnings:

1. Be very careful with the syntax. Syntax is the set of rules on how to write computer code. Every software program has its own unique syntax. Some basic Mathematica syntax is located at: http://www.jjw3.com/TECH_Common_Functions.pdf.
2. To execute code (including comment codes), press and hold the SHIFT key and press the ENTER key.
3. The eigenvector and corresponding eigenvalues will be returned in order.
3. Using technology, the eigenvectors of the coefficient matrix are:

• For $\displaystyle {\color{gsured}\lambda_1=-7}$, $\displaystyle {\color{gsured}\pmb{v}_1=\left[\begin{array}{c} -1 \\ 2 \end{array}\right]}$
• For $\displaystyle {\color{gsublue!50!green}\lambda_2=6}$, $\displaystyle {\color{gsublue!50!green}\pmb{v}_2=\left[\begin{array}{c} 5 \\ 3 \end{array}\right]}$
1. The solution to the systems of DEs is $\displaystyle \pmb{x}(t)=c_1e^{{\color{gsured}-7}t}{\color{gsured}\left[\begin{array}{c} -1 \\ 2 \end{array}\right]}+c_2e^{{\color{gsublue!50!green}6}t}{\color{gsublue!50!green}\left[\begin{array}{c} 5 \\ 3 \end{array}\right]}$ which is equivalent to $\displaystyle \begin{array}{c} x_1(t)={\color{gsured}-}c_1e^{{\color{gsured}-7}t}+{\color{gsublue!50!green}5}c_2e^{{\color{gsublue!50!green}6}t} \\ x_2(t)={\color{gsured}2}c_1e^{{\color{gsured}-7}t}+{\color{gsublue!50!green}3}c_2e^{{\color{gsublue!50!green}6}t}\end{array}$

#### Investigation 01

Use matrix operations to solve the following systems of DEs:

1. $\displaystyle \begin{array}{ll} x_1^{\,\prime} &= x_2 \\ x_2^{\,\prime} &= -3x_2-2x_1 \end{array}$

2. $\displaystyle \pmb{x}^{\,\prime}=\left[ \begin{array}{ll} 5 & 4 \\ -1 & 0 \end{array} \right]\pmb{x}$

3. $\displaystyle \pmb{x}^{\,\prime}=\left[ \begin{array}{ll} 1 & -2 \\ 3 & -4 \end{array} \right]\pmb{x}$

4. $\displaystyle \pmb{x}^{\,\prime}=\left[ \begin{array}{cccc} 2 & 1 & 1 & -1 \\ 0 & -1 & 0 & 1 \\ 0 & 0 & 3 & 1 \\ 0 & 0 & 0 & 7 \end{array} \right]\pmb{x}$