Math Problem Statement
Solution
Let's break down and solve each part of the problem provided.
Part (a): Finding the General Solution
Given the system of differential equations: we are tasked to find the general solution for .
-
Find the eigenvalues of the matrix: The characteristic polynomial is given by : Simplifying, we get the characteristic polynomial: Solving for , we get the eigenvalues and .
-
Find eigenvectors for each eigenvalue:
-
For : This yields the eigenvector .
-
For : This yields the eigenvector .
-
-
Construct the general solution: Using the eigenvalues and eigenvectors, the solution can be written as: This matches the form provided in the problem.
Part (b): Direction Field
The direction field given (Field 5) is chosen to represent the flow of solutions to this system. The positive eigenvalue suggests exponential growth in one direction, while the negative eigenvalue indicates exponential decay in the orthogonal direction. The field confirms this behavior, showing trajectories moving away from the origin along one direction and spiraling due to the interaction between the eigenvalues.
Part (c): Behavior as
With , the dominant term as will be the one with the positive exponent . Therefore, the solution will grow unbounded in the direction associated with , meaning the solution will tend towards infinity as .
Let me know if you need further explanation or details.
Follow-up Questions:
- How are eigenvalues used to determine the stability of solutions in a differential system?
- What impact does each eigenvalue's sign have on the behavior of solutions over time?
- How can direction fields help visualize solutions to differential systems?
- Why is the direction associated with the positive eigenvalue dominant as ?
- Can you describe the behavior of the solution if both eigenvalues were negative?
Tip:
For systems with real eigenvalues, the general behavior of solutions can be quickly understood by observing the sign of the eigenvalues: positive eigenvalues indicate instability (growth), while negative eigenvalues indicate stability (decay).
Ask a new question for Free
By Image
Drop file here or Click Here to upload
Math Problem Analysis
Mathematical Concepts
Linear Algebra
Differential Equations
Eigenvalues and Eigenvectors
System Stability
Direction Fields
Formulas
Characteristic polynomial: det(A - λI) = 0
General solution form: x(t) = c1 * v1 * e^(λ1 * t) + c2 * v2 * e^(λ2 * t)
Theorems
Eigenvalue stability criterion
Solution behavior of linear systems based on eigenvalues
Suitable Grade Level
Undergraduate - Differential Equations Course
Related Recommendation
Solving a System of Differential Equations Using Eigenvalues and Eigenvectors
General Solution of Linear Differential Equations with Given Matrix Coefficients
Solving a System of Differential Equations Using Eigenvalues and Eigenvectors
General Solution for System of Differential Equations with Eigenvalues and Eigenvectors
Solve the IVP: Matrix Differential Equation with Eigenvalues