Chapter 6: Problem 9
Berechnen Sie die Lösung des Anfangswertproblems $$ \left(\begin{array}{l} y_{1}^{\prime} \\ y_{2}^{\prime} \end{array}\right)=\left(\begin{array}{ll} 1 & 2 \\ 4 & 3 \end{array}\right)\left(\begin{array}{l} y_{1} \\ y_{2} \end{array}\right)+\left(\begin{array}{l} 2 \\ 0 \end{array}\right), \quad\left(\begin{array}{l} y_{1}(0) \\ y_{2}(0) \end{array}\right)=\left(\begin{array}{l} 1 \\ 0 \end{array}\right) $$
Short Answer
Step by step solution
Write the System of Differential Equations
Solve the Homogeneous System
Find Eigenvectors
Construct General Solution for Homogeneous System
Determine Particular Solution
Apply Initial Conditions
Write Final Solution
Unlock Step-by-Step Solutions & Ace Your Exams!
-
Full Textbook Solutions
Get detailed explanations and key concepts
-
Unlimited Al creation
Al flashcards, explanations, exams and more...
-
Ads-free access
To over 500 millions flashcards
-
Money-back guarantee
We refund you if you fail your exam.
Over 30 million students worldwide already upgrade their learning with Vaia!
Key Concepts
These are the key concepts you need to understand to accurately answer the question.
Homogeneous System
Consider a system of differential equations given by \( \mathbf{Y}' = A \mathbf{Y} \), where \( \mathbf{Y} \) represents a vector of functions, \( A \) is a matrix of coefficients, and \( \mathbf{Y}' \) is the derivative with respect to time \( t \). The system is called homogeneous because there are no constant inputs; all terms stem from the linear interactions among the system variables.
When solving such a system, we aim to find the eigenvalues and eigenvectors of the matrix \( A \). These values help us derive the general solution that describes the system's behavior over time.
In our exercise, the homogeneous part of the system was given by the differential equations excluding the constant vector:\[ \begin{pmatrix} y_1' \ y_2' \end{pmatrix} = \begin{pmatrix} 1 & 2 \ 4 & 3 \end{pmatrix} \begin{pmatrix} y_1 \ y_2 \end{pmatrix} \].
This form is crucial for finding the characteristic equation, which provides the eigenvalues and allows the construction of the system's complementary solution.
Eigenvalues and Eigenvectors
Let's break it down:
- **Eigenvalues**: These are solutions to the characteristic equation, given by \( |A - \lambda I| = 0 \), where \( A \) is the matrix from the system, \( \lambda \) are the eigenvalues, and \( I \) is the identity matrix.
- **Eigenvectors**: For each eigenvalue, an eigenvector is a non-zero vector \( v \) that satisfies \( (A - \lambda I)v = 0 \). These vectors provide the direction associated with each eigenvalue.
In our exercise, the matrix \( A \) was \( \begin{pmatrix} 1 & 2 \ 4 & 3 \end{pmatrix} \). Solving \( (A - \lambda I) = 0 \) produced the eigenvalues \( \lambda_1 = 5 \) and \( \lambda_2 = -1 \). For these eigenvalues, the respective eigenvectors \( \begin{pmatrix} 1 \ 2 \end{pmatrix} \) and \( \begin{pmatrix} -1 \ 2 \end{pmatrix} \) were found.
These results enable us to formulate the general solution of the homogeneous system as a sum of terms involving these eigenvectors and \( e^{\lambda t} \), each term weighted by constants determined by initial conditions.
Initial Value Problem
Let's examine our problem:
We started with a system of differential equations with initial conditions \( y_1(0) = 1 \) and \( y_2(0) = 0 \). The goal was to find functions \( y_1(t) \) and \( y_2(t) \) that satisfy these conditions.
The process is as follows:
- **Solve The Homogeneous System**: Discover the general solution using eigenvalues and eigenvectors.
- **Find A Particular Solution**: Assume a form that includes any constant vector terms in the right side of the equation.
- **Apply Initial Conditions**: Use the initial conditions to determine unknown constants in the general solution.
In our exercise, this involved combining the homogeneous and particular solutions then solving for constants \( C_1 \) and \( C_2 \) so the initial conditions were satisfied. This resulted in our specific solution fitting all given requirements, ensuring it accurately reflects the system's behavior from the start.