-29.1 Find a general solution to the system of DE

In summary, to find a general solution to the system of differential equations given as $Y'=\left[\begin{array}{c}2 & 3 \\ 1 & 4 \end{array}\right]Y+\left[\begin{array}{c}5x\\ 10\end{array}\right]$, the first step is to find the eigenvalues and eigenvectors of the matrix $\left[\begin{array}{c}2 & 3 \\ 1 & 4 \end{array}\right]$. These are found to be $\lambda = 5, 1$ and eigenvectors $\begin{bmatrix}-3 \\ 1 \end{bmatrix}$ and $\
  • #1
karush
Gold Member
MHB
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Find a general solution to the system of differential equations
\begin{align*}\displaystyle
y'_1&=2y_1+3y_2+5x\\
y'_2&=y_1+4y_2+10
\end{align*}
rewrite as

$$Y'=\left[\begin{array}{c}2 & 3 \\ 1 & 4 \end{array}\right]Y
+\left[\begin{array}{c}5x\\ 10\end{array}\right]$$

ok not sure what to do with this
 
Last edited:
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  • #2
karush said:
Find a general solution to the system of differential equations
\begin{align*}\displaystyle
y'_1&=2y_1+3y_2+5x\\
y'_2&=y_1+4y_2+10
\end{align*}
rewrite as

$$Y'=\left[\begin{array}{c}2 & 3 \\ 1 & 4 \end{array}\right]Y
+\left[\begin{array}{c}5x\\ 10\end{array}\right]$$

ok not sure what to do with this
Just like as a single differential equation, solve this first. (I don't know the correct terminology here, but I would call this the homogeneous solution.)
\(\displaystyle \left ( \begin{matrix} y_1 \\ y_2 \end{matrix} \right ) ^{\prime} = \left [ \begin{matrix} 2 & 3 \\ 1 & 4 \end{matrix} \right ] ~ \left ( \begin{matrix} y_ 1 \\ y_2 \end{matrix} \right )\)

Big hint: What are the eigenvalues of the matrix?

-Dan
 
  • #3
topsquark said:
Just like as a single differential equation, solve this first. (I don't know the correct terminology here, but I would call this the homogeneous solution.)
\(\displaystyle \left ( \begin{matrix} y_1 \\ y_2 \end{matrix} \right ) ^{\prime} = \left [ \begin{matrix} 2 & 3 \\ 1 & 4 \end{matrix} \right ] ~ \left ( \begin{matrix} y_ 1 \\ y_2 \end{matrix} \right )\)

Big hint: What are the eigenvalues of the matrix?

-Dan
$\left[\begin{array}{c}2 & 3 \\ 1 & 4 \end{array}\right]$
$\left| \begin{array}{cc} - \lambda + 2 & 3 \\1 & - \lambda + 4 \end{array} \right|
=\left(- \lambda + 2\right) \left(- \lambda + 4\right) - 3
=\lambda^2-6\lambda+8-3
=(\lambda-5)(\lambda-1)=0$
so the zeros are
$\lambda = 5,1$
well so far
ok I quess we don't need the eiganvectors?
 
Last edited:
  • #4
Yes, you do need the eigenvectors. An eigenvector corresponding to eigenvalue 1 satisifies [itex]\begin{bmatrix}2 & 3 \\ 1 & 4\end{bmatrix}\begin{bmatrix}x \\ y \end{bmatrix}= \begin{bmatrix}x \\ y \end{bmatrix}[itex] which is equivalent to the two equations 2x+3y= x and x+ 4y= y. Those are both equivalent to x+ 3y= 0 or x= -3y. All eigenvectors corresponding to eigenvalue 1 are of the form [itex]\begin{bmatrix}-3y \\ y \end{bmatrix}[/itex]. Taking y= 1 an eigenvector is [itex]\begin{bmatrix}-3 \\ 1 \end{bmatrix}[/itex].
An eigenvector corresponding to eigenvalue 5 satisifies [itex]\begin{bmatrix}2 & 3 \\ 1 & 4\end{bmatrix}\begin{bmatrix}x \\ y \end{bmatrix}= \begin{bmatrix}5x \\ 5y \end{bmatrix}[itex] which is equivalent to the two equations 2x+3y= 5x and x+ 4y= 5y. Those are both equivalent to x= y. All eigenvectors corresponding to eigenvalue 5 are of the form [itex]\begin{bmatrix} y\\ y \end{bmatrix}[/itex]. Taking y= 1 an eigenvector is [itex]\begin{bmatrix}1 \\ 1 \end{bmatrix}[/itex].
And the reason we need the eigenvectors is this: Let M be the matrix having those eigenvectors as columns: [itex]M= \begin{bmatrix}-3 & 1 \\ 1 & 1 \end{bmatrix}[/itex] and [itex]M^{-1}= \begin{bmatrix}-\frac{1}{4} & \frac{1}{4} \\ \\frac{1}{4} & \frac{3}{4}\end{bmatrix}[/itex].
Then [itex]\begin{bmatrix}-\frac{1}{4} & \frac{1}{4} \\ \frac{1}{4} & \frac{3}{4}\end{bmatrix}\begin{bmatrix}2 & 3 \\ 1 & 4\end{bmatrix}\begin{bmatrix}-\frac{1}{4} & \frac{1}{4} \\ \\frac{1}{4} & \frac{3}{4}\end{bmatrix}= \begin{bmatrix}1 & 0 \\ 0 & 5\end{bmatrix}[/itex], the diagonal matrix having the eigenvalues of the original matrix on the diagonal. (Any n by n matrix having n independent eigenvectors can be "diagonalized" that way.)
To use that, think of the general differential equation Y'= AY+ B, such that [itex]M^{-1}AM= D[/itex] with D the diagonal matrix having the eigenvalues of A on the diagonal and M the matrix with the eigenvectors of A as columns. Let [itex]U= M^{-1}Y[/itex] so that [itex]Y= MU[/itex]. Since M is a constant matrix we can write the equation as (MU)'= MU'= AMU. Multiply by [itex]M^{-1}[/itex]: [itex]U'= M^{-1}AMU= DU[/itex]. Since D is a diagonal matrix that separates into separate equations: [itex]M^{-1}Y'= M^{-1}AMY+ M^{-1}B[/itex[ or [itex]U'= DY+ M^{-1}B[/itex].
In our case, the matrix equation becomes [itex]U'= \begin{bmatrix}u' \\ v' \end{bmatix}= \begin{bmatrix}1 & 0 \\ 0 & 5 \end{bmatrix}\begin{bmatrix}u \\ v \end{bmatrix}= \begin{bmatrix}u \\ 5v\end{bmatrix}+ \begin{bmatrix}-\frac{5x}{4}+ \frac{5}{2} \\ \frac{25x}{4}+ \frac{75}{4}\end{bmatrix}[/itex].
That separates into the equations [itex]u'= u- \frac{5x}{4}+ \frac{5}{2}[/itex] which has general solution [itex]u(x)= C_1e^{x}- \frac{5x}{4}- \frac{15}{4}[/itex] and [itex]v'= 5v+ \frac{25x}{4}+ \frac{75}{4}[/itex] which has general solution [itex]v(x)= C_2e^{5x}-\frac{5x}{4}+ 4[/itex]. So [itex]U= \begin{bmatrix}C_1e^x- \frac{5x}{4}-\frac{15}{4} \\ C_2e^{5x}- \frac{5x}{4}+ 4\end{bmatrix}[/itex]. Since [itex]U= M^{-1}Y[/itex], [itex]Y= MU= \begin{bmatrix}-3C_1e^x+ C_2e^{5x}+ \frac{15x}{2}+ 4 \\ C_1e^x+ C_2e^{5x}- \frac{5x}{2}+ \frac{1}{4}[/itex]
(modulo any arithmetic errors!)
 
  • #5
wow, that was a really a great help...

not sure why the latex didn't render completely
 

FAQ: -29.1 Find a general solution to the system of DE

What is a system of DE?

A system of DE (differential equations) is a set of equations that involve one or more unknown functions and their derivatives. These equations are used to model and analyze complex systems in various fields such as physics, engineering, and economics.

What is a general solution to a system of DE?

A general solution to a system of DE is a set of equations that satisfies all the given equations in the system. It includes all possible solutions, but it may not include any specific initial conditions or constants that are needed to fully define a particular solution.

How do you find a general solution to a system of DE?

To find a general solution to a system of DE, you can use various methods such as separation of variables, substitution, or using specific techniques for solving linear or non-linear systems. The specific method used will depend on the type and complexity of the system.

What does "-29.1" represent in the given system of DE?

In a system of DE, the numbers or coefficients before the variables represent the rate of change or the slope of the function. In this case, "-29.1" represents the rate of change of the unknown function in the system.

Can a system of DE have more than one general solution?

Yes, a system of DE can have more than one general solution. This is because a general solution represents all possible solutions to the system, and there can be multiple combinations of constants and initial conditions that satisfy the given equations.

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