Chapter 7: Problem 23
Find the particular solution of the linear system that satisfies the stated initial conditions. $$ \begin{aligned} &\frac{d x}{d t}=-2 x+7 y \\ &\frac{d y}{d t}=3 x+2 y \\ &x(0)=9, y(0)=-1 \end{aligned} $$
Short Answer
Expert verified
The particular solution satisfying the initial conditions is:
$$
\begin{pmatrix}x(t)\\y(t)\end{pmatrix}
=2e^{4t}\begin{pmatrix} 1 \\ 6 \end{pmatrix} + 7e^{-6t}\begin{pmatrix} 1 \\ -2 \end{pmatrix}.
$$
Step by step solution
01
Rewrite the system in matrix form
:
First, we need to write the given system of linear differential equations in matrix form. This can be done by writing it as \( \begin{pmatrix}\frac{dx}{dt}\\ \frac{dy}{dt}\end{pmatrix} = A \begin{pmatrix}x\\y\end{pmatrix} \), where A is the coefficient matrix. In our case, the system is given by:
$$
\begin{pmatrix}\frac{dx}{dt}\\ \frac{dy}{dt}\end{pmatrix}=
\begin{pmatrix}
-2 & 7\\
3 & 2
\end{pmatrix}
\begin{pmatrix}x\\y\end{pmatrix}.
$$
02
Compute eigenvalues and eigenvectors
:
Now, we need to find the eigenvalues and eigenvectors of the coefficient matrix A. This can be done by solving the characteristic equation \(|A - \lambda I| = 0\), where \(\lambda\) represents the eigenvalues and I is the identity matrix:
$$
\begin{vmatrix}
-2-\lambda & 7 \\
3 & 2-\lambda
\end{vmatrix}
=(-2-\lambda)(2-\lambda) - (3)(7) = 0.
$$
Solving this equation gives us the eigenvalues \(\lambda_1=4\) and \(\lambda_2=-6\). Now, we need to find the eigenvectors for each of them.
For \(\lambda_1 = 4\), we have the equation system \((A-\lambda_1 I)v_1=0\):
$$
\begin{pmatrix}
-6 & 7 \\
3 & -2
\end{pmatrix}
\begin{pmatrix}
v_{1x} \\
v_{1y}
\end{pmatrix}
= 0.
$$
Let \(v_{1x}=1\), then the eigenvector \(v_1\) corresponding to the eigenvalue \(\lambda_1=4\) is \(v_1=\begin{pmatrix}1 \\ 6\end{pmatrix}\).
For \(\lambda_2 = -6\), we have the equation system \((A-\lambda_2 I)v_2=0\):
$$
\begin{pmatrix}
4 & 7 \\
3 & 8
\end{pmatrix}
\begin{pmatrix}
v_{2x} \\
v_{2y}
\end{pmatrix}
= 0.
$$
Let \(v_{2x}=1\), then the eigenvector \(v_2\) corresponding to the eigenvalue \(\lambda_2=-6\) is \(v_2=\begin{pmatrix}1 \\ -2\end{pmatrix}\).
03
Find the general solution
:
With the eigenvalues and eigenvectors, we can now write the general solution for the given system as:
$$
\begin{pmatrix}x(t)\\y(t)\end{pmatrix}
=C_1e^{\lambda_1 t}v_1 + C_2e^{\lambda_2 t}v_2
=C_1e^{4t}\begin{pmatrix} 1 \\ 6 \end{pmatrix} + C_2e^{-6t}\begin{pmatrix} 1 \\ -2 \end{pmatrix}.
$$
04
Apply initial conditions to get the particular solution
:
Now, we need to apply the initial conditions \(x(0) = 9\) and \(y(0)=-1\) to find the constants \(C_1\) and \(C_2\):
$$
\begin{pmatrix}9\\-1\end{pmatrix}
=C_1e^{0}\begin{pmatrix} 1 \\ 6 \end{pmatrix} + C_2e^{0}\begin{pmatrix} 1 \\ -2 \end{pmatrix}
=
\begin{pmatrix} C_1 + C_2 \\ 6C_1 - 2C_2 \end{pmatrix}.
$$
From this system, we can find the values of \(C_1\) and \(C_2\): \(C_1 = 2\) and \(C_2 = 7\).
Thus, the particular solution satisfying the initial conditions is:
$$
\begin{pmatrix}x(t)\\y(t)\end{pmatrix}
=2e^{4t}\begin{pmatrix} 1 \\ 6 \end{pmatrix} + 7e^{-6t}\begin{pmatrix} 1 \\ -2 \end{pmatrix}.
$$
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Key Concepts
These are the key concepts you need to understand to accurately answer the question.
Matrix Form
To solve a linear system of differential equations, we first convert it into matrix form. This means representing the system as a single matrix equation. By doing this, we can neatly organize and manipulate the equations. For our system:
- The derivatives \( \frac{dx}{dt} \) and \( \frac{dy}{dt} \) are stacked into a vector.
- The variables \( x \) and \( y \) are also in vector form.
- A coefficient matrix \( A \), containing constants that multiply \( x \) and \( y \), is created.
Eigenvalues and Eigenvectors
Finding eigenvalues and eigenvectors of the coefficient matrix \( A \) is crucial for solving the differential system. Eigenvalues represent special scalars associated with the matrix, and eigenvectors are non-zero vectors that only get scaled (not redirected) when multiplied by \( A \).
- To find eigenvalues \( \lambda \), solve the characteristic equation \(|A - \lambda I| = 0\).
- Plugging in the eigenvalues back into the equation \( (A - \lambda I)v = 0 \), we solve for the eigenvectors \( v \).
- Eigenvalue \( \lambda_1 = 4 \) with eigenvector \( v_1 = \begin{pmatrix} 1 \ 6 \end{pmatrix} \).
- Eigenvalue \( \lambda_2 = -6 \) with eigenvector \( v_2 = \begin{pmatrix} 1 \ -2 \end{pmatrix} \).
Particular Solution
The particular solution of a differential equation gives the specific behavior of the system given initial conditions. With eigenvalues and eigenvectors, we create a general solution:\[\begin{pmatrix}x(t)\y(t)\end{pmatrix}=C_1e^{\lambda_1 t}\begin{pmatrix} 1 \ 6 \end{pmatrix} + C_2e^{\lambda_2 t}\begin{pmatrix} 1 \ -2 \end{pmatrix}.\]
- Each term in the solution involves an exponential function \( e^{\lambda t} \) multiplied by an eigenvector.
- Constants \( C_1 \) and \( C_2 \) need to be determined using specific initial conditions.
Initial Conditions
Initial conditions are values specified at the starting point of the system, usually at time \( t=0 \). They allow us to calculate the constants in the particular solution.
- For our problem, the initial conditions are \( x(0) = 9 \) and \( y(0) = -1 \).
- Plug these into the general solution to form equations that solve for \( C_1 \) and \( C_2 \).
- \( C_1 = 2 \)
- \( C_2 = 7 \)