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Use the variation-of-parameters technique to find a particular solution \(\mathbf{x}_{p}\) to \(\mathbf{x}^{\prime}=A \mathbf{x}+\mathbf{b},\) for the given \(A\) and \(\mathbf{b} .\) Also obtain the general solution to the system of differential equations. $$A=\left[\begin{array}{rr} 3 & 2 \\ -2 & -1 \end{array}\right], \quad \mathbf{b}=\left[\begin{array}{c} -3 e^{t} \\ 6 t e^{t} \end{array}\right]$$

Short Answer

Expert verified
The general solution to the given system of differential equations is: \(\mathbf{x}(t) = C_1 e^{-1t}\begin{bmatrix} 1 \\ -1 \end{bmatrix} + C_2 e^{3t}\begin{bmatrix} 1 \\ -2 \end{bmatrix} + \begin{bmatrix} 6t e^t - 6 \\ -9 e^t + 6 t e^t +3 \end{bmatrix}\).

Step by step solution

01

Eigenvalues and Eigenvectors of A# The characteristic equation is \(|\lambda I - A|\) = 0. \(|(\lambda I-A)| = \begin{vmatrix} \lambda-3 & -2 \\ 2 & \lambda+1 \end{vmatrix}\) Calculating the determinant, we have: \((\lambda-3)(\lambda+1) - (-2)(2)=\lambda^2 - 2\lambda - 9\) We will then find the eigenvalues and eigenvectors of the matrix. \(\lambda_1 = -1\) with corresponding eigenvector \(\mathbf{v}_1 = \begin{bmatrix} 1 \\ -1 \end{bmatrix}\) \(\lambda_2 = 3\) with corresponding eigenvector \(\mathbf{v}_2 = \begin{bmatrix} 1 \\ -2 \end{bmatrix}\) The complementary solution is then: \(\mathbf{x_h}(t) = C_1 e^{-1t}\begin{bmatrix} 1 \\ -1 \end{bmatrix} + C_2 e^{3t}\begin{bmatrix} 1 \\ -2 \end{bmatrix}\) #Step 2: Find the particular solution, 饾懃鈧, using the variation-of-parameters technique# Now, we will find the particular solution, \(\mathbf{x}_{p}\), using the variation-of-parameters technique. Our goal is to find the particular solution in the form, \(\mathbf{x}_{p} = U(t) \mathbf{v}_1 + V(t) \mathbf{v}_2\).

Variation-of-Parameters Formula# The formula for the variation-of-parameters is: \[ \begin{bmatrix} U'(t) \\ V'(t) \end{bmatrix} = \begin{bmatrix} 1 & 1 \\ -1 & -2 \end{bmatrix}^{-1} \begin{bmatrix} -3e^t \\ 6te^t \end{bmatrix} \] To solve this, we first need to find the inverse of the matrix:
02

Calculate the Inverse of the Matrix# \[ \begin{bmatrix} 1 & 1 \\ -1 & -2 \end{bmatrix}^{-1} = \frac{1}{(-2) - (-1)}\begin{bmatrix} -2 & -1 \\ 1 & 1 \end{bmatrix} = \begin{bmatrix} 2 & 1 \\ -1 & -1 \end{bmatrix} \] Now, we can solve for \(U'(t)\) and \(V'(t)\):

Calculate U'(t) and V'(t)# \[ \begin{bmatrix} U'(t) \\ V'(t) \end{bmatrix} = \begin{bmatrix} 2 & 1 \\ -1 & -1 \end{bmatrix} \begin{bmatrix} -3e^t \\ 6te^t \end{bmatrix} = \begin{bmatrix} -6e^t + 6te^t \\ 3e^t-6te^t \end{bmatrix} \] To find U(t) and V(t), we integrate: \[ \begin{bmatrix} U(t) \\ V(t) \end{bmatrix} = \begin{bmatrix} -6\int e^tdt + 6 \int te^t dt \\ 3\int e^t dt - 6 \int te^t dt \end{bmatrix}\] Using integration by parts for the terms with \(te^t\): \[\int te^tdt = te^t - \int e^tdt = te^t - e^t + C\] Thus, we get: \[ \begin{bmatrix} U(t) \\ V(t) \end{bmatrix} = \begin{bmatrix} -6(e^t - 1) + 6 (te^t - e^t + 1) \\ 3 (e^t - 1) - 6 (te^t - e^t + 1) \end{bmatrix} = \begin{bmatrix} 6t e^t - 6 \\ -9 e^t + 6 t e^t +3 \end{bmatrix} \] Now, we can find the particular solution, \(\mathbf{x}_{p}\), using: \[ \mathbf{x}_{p} = U(t) \mathbf{v}_1 + V(t) \mathbf{v}_2 = \begin{bmatrix} 6t e^t - 6 \\ -9 e^t + 6 t e^t +3 \end{bmatrix} \] #Step 3: Combine 饾懃鈧 and 饾懃鈧 to get the general solution# Finally, we can combine the complementary solution, \(\mathbf{x}_h\), and the particular solution, \(\mathbf{x}_p\), to obtain the general solution: \(\mathbf{x}(t) = \mathbf{x_h}(t) + \mathbf{x_p}(t)\) \(\mathbf{x}(t) = C_1 e^{-1t}\begin{bmatrix} 1 \\ -1 \end{bmatrix} + C_2 e^{3t}\begin{bmatrix} 1 \\ -2 \end{bmatrix} + \begin{bmatrix} 6t e^t - 6 \\ -9 e^t + 6 t e^t +3 \end{bmatrix}\) This is the general solution to the given system of differential equations.

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Particular Solution
In differential equations, a particular solution refers to a specific solution that satisfies the non-homogeneous differential equation. Unlike the general solution, which includes arbitrary constants, the particular solution stems from the specific form of non-homogeneity, like the vector \( \mathbf{b} \) in the equation \( \mathbf{x}' = A \mathbf{x} + \mathbf{b} \). By using the variation-of-parameters method, we tailor the complementary solution to fit this specificity.

The variation-of-parameters technique begins with determining the complementary solution often in the form of linear combinations of eigenvectors \( \mathbf{v}_1 \) and \( \mathbf{v}_2 \). We then seek functions \( U(t) \) and \( V(t) \) such that the particular solution is \[ \mathbf{x}_p = U(t) \mathbf{v}_1 + V(t) \mathbf{v}_2. \]

Using the matrix inverse method, we calculate \( U'(t) \) and \( V'(t) \) through integration. This transforms the differential equation into a form allowing us to compute \( U(t) \) and \( V(t) \).

For our example, the method involves integration by parts to solve integrals like \( \int te^t dt \). The solution ultimately provides \( U(t) \) and \( V(t) \), leading to a specific form \( \mathbf{x}_p \), which, when combined with the complementary solution, provides the complete tale the equation tells.
Eigenvalues and Eigenvectors
Eigenvalues and eigenvectors are crucial in solving systems of differential equations described by matrices like \( A \). They provide insight into the system's behavior and help form the complementary, or homogeneous, solution.

To find eigenvalues, we solve the characteristic equation \( |\lambda I - A| = 0 \). This step involves calculating the determinant of \( \lambda I - A \) and setting it to zero to solve for \( \lambda \). In the example, the matrix

\[ A = \begin{bmatrix} 3 & 2 \ -2 & -1 \end{bmatrix} \]

leads to a characteristic equation with solutions \( \lambda_1 = -1 \) and \( \lambda_2 = 3 \). These are the eigenvalues.

Next, each eigenvalue鈥檚 corresponding eigenvector is found by solving \((A - \lambda I) \mathbf{v} = 0\). For our solutions, \( \lambda_1 = -1 \) has an eigenvector \( \mathbf{v}_1 = \begin{bmatrix} 1 \ -1 \end{bmatrix} \), and \( \lambda_2 = 3 \) has \( \mathbf{v}_2 = \begin{bmatrix} 1 \ -2 \end{bmatrix} \).

The eigenvalues and eigenvectors form the blueprint for the complementary solution \( \mathbf{x}_h(t) \), which is crafted as a linear combination of these vectors, scaled by exponential functions based on their respective eigenvalues.
General Solution
The general solution unifies the complementary solution and the particular solution, providing a complete response to the differential equation. It encompasses all possible solutions, as it includes arbitrary constants that adjust to any initial conditions.

The complementary solution, \( \mathbf{x}_h(t) \), is formed by the homogeneous equation:
  • It typically uses the eigenvalues and eigenvectors from matrix \( A \).
  • In the given exercise, it is expressed as \( C_1 e^{-1t}\begin{bmatrix} 1 \ -1 \end{bmatrix} + C_2 e^{3t}\begin{bmatrix} 1 \ -2 \end{bmatrix} \).
The particular solution \( \mathbf{x}_p \) then fits the non-homogeneous part of the equation.

By adding the complementary and particular solutions, we create the general solution:
  • \( \mathbf{x}(t) = \mathbf{x}_h(t) + \mathbf{x}_p(t) \)
  • It takes the form \( \mathbf{x}(t) = C_1 e^{-1t}\begin{bmatrix} 1 \ -1 \end{bmatrix} + C_2 e^{3t}\begin{bmatrix} 1 \ -2 \end{bmatrix} + \begin{bmatrix} 6t e^t - 6 \ -9 e^t + 6 t e^t +3 \end{bmatrix} \)

The general solution thus illustrates the infinite solutions possible, with \( C_1 \) and \( C_2 \) adapting as needed.

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Most popular questions from this chapter

Use the variation-of-parameters method to determine a particular solution to the nonhomogeneous linear system \(\mathbf{x}^{\prime}=A \mathbf{x}+\mathbf{b}\). Also find the general solution to the system. $$ A=\left[\begin{array}{rrr} 2 & -4 & 3 \\ -9 & -3 & -9 \\ 4 & 4 & 3 \end{array}\right], \mathbf{b}=\left[\begin{array}{c} e^{6 t} \\ 1 \\ 0 \end{array}\right] $$ $$ \text { [Hint: The eigenvalues of } A \text { are } \lambda=6,-3,-1 .] $$

Show that the given functions are solutions of the system \(\mathbf{x}^{\prime}(t)=A(x) \mathbf{x}(t)\) for the given matrix \(A,\) and hence, find the general solution to the system (remember to check linear independence). If auxiliary conditions are given, find the particular solution that satisfies these conditions. $$\mathbf{x}_{1}(t)=\left[\begin{array}{l} e^{-t} \cos 2 t \\ e^{-t} \sin 2 t \end{array}\right], \quad \mathbf{x}_{2}(t)=\left[\begin{array}{c} -e^{-t} \sin 2 t \\ e^{-t} \cos 2 t \end{array}\right]$$, $$A=\left[\begin{array}{ll} 1 & -2 \\ 2 & 1 \end{array}\right], \quad \mathbf{x}(0)=\left[\begin{array}{l} 1 \\ 3 \end{array}\right]$$.

Determine the general solution to the linear system \(\mathbf{x}^{\prime}=A \mathbf{x}\) for the given matrix \(A\). \(\left[\begin{array}{rrr}3 & -1 & -2 \\ 1 & 6 & 1 \\ 1 & 0 & 6\end{array}\right]\) [Hint: The only eigenvalue of \(A \text { is } \lambda=5 .]\)

Consider the predator-prey model $$\frac{d x}{d t}=x(2-y), \frac{d y}{d t}=y(x-2)$$ Sketch the phase plane for \(0 \leq x \leq 10,0 \leq y \leq 10\) Compare the behavior of the two specific cases corresponding to the initial conditions \(x(0)=1, y(0)=\) \(0.1,\) and \(x(0)=1, y(0)=1\)

The motion of a certain physical system is described by the system of differential equations $$ x_{1}^{\prime}=x_{2}, \quad x_{2}^{\prime}=-b x_{1}-a x_{2} $$ where \(a\) and \(b\) are positive constants and \(a \neq 2 b .\) Show that the motion of the system dies out as \(t \rightarrow+\infty\)

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