Consider the following system: dt 4 -2 ·(1 − ²) = k k= = Find the eigenvalues in terms of k. (Enter your answer as a comma-separated list.) A = When k = 16, determine the type of the equilibrium point at the origin. The origin is a(n) ? Find the critical value or values of k at which the qualitative nature of the phase portrait changes. (If there is more than one such value, enter a comma-separated list.) Draw phase portraits for values of k slightly above and slightly below each of the critical values you found.
Consider the following system: dt 4 -2 ·(1 − ²) = k k= = Find the eigenvalues in terms of k. (Enter your answer as a comma-separated list.) A = When k = 16, determine the type of the equilibrium point at the origin. The origin is a(n) ? Find the critical value or values of k at which the qualitative nature of the phase portrait changes. (If there is more than one such value, enter a comma-separated list.) Draw phase portraits for values of k slightly above and slightly below each of the critical values you found.
Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
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![**Consider the following system:**
\[ \frac{d}{dt} \vec{x} = \begin{pmatrix} 4 & -2 \\ k & -4 \end{pmatrix} \vec{x} \]
1. **Find the eigenvalues in terms of \( k \). (Enter your answer as a comma-separated list.)**
\[ \lambda = \text{[input field]} \]
2. **When \( k = 16 \), determine the type of the equilibrium point at the origin.**
The origin is a(n) [dropdown with options].
3. **Find the critical value or values of \( k \) at which the qualitative nature of the phase portrait changes. (If there is more than one such value, enter a comma-separated list.)**
\[ k = \text{[input field]} \]
4. **Draw phase portraits for values of \( k \) slightly above and slightly below each of the critical values you found.**
---
**Explanation of Graphs/Diagrams:**
- The system of differential equations \(\frac{d}{dt} \vec{x} = \begin{pmatrix} 4 & -2 \\ k & -4 \end{pmatrix} \vec{x} \) represents a linear system where the matrix components influence the behavior of the solutions over time.
- The eigenvalues \(\lambda\) determine the stability and type of equilibrium points. Knowing \(\lambda\) informs us about whether the solutions grow, decay, or oscillate as time progresses.
- By setting \(k = 16\), the type of equilibrium at the origin can be found, which categorizes the kind of attraction or repulsion at that point.
- Critical values of \(k\) are those at which small changes lead to different qualitative behavior in the phase portraits, indicating transitions in stability or type of equilibrium.
Drawing phase portraits near these critical values helps visualize the dynamic behavior of the system and understand how solutions evolve with respect to different \( k \) values.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F216015d9-daff-4e98-b3d1-7f3f5202e820%2Fa1cd0323-d256-476e-9dff-831720406a29%2Fp3ep6cq_processed.png&w=3840&q=75)
Transcribed Image Text:**Consider the following system:**
\[ \frac{d}{dt} \vec{x} = \begin{pmatrix} 4 & -2 \\ k & -4 \end{pmatrix} \vec{x} \]
1. **Find the eigenvalues in terms of \( k \). (Enter your answer as a comma-separated list.)**
\[ \lambda = \text{[input field]} \]
2. **When \( k = 16 \), determine the type of the equilibrium point at the origin.**
The origin is a(n) [dropdown with options].
3. **Find the critical value or values of \( k \) at which the qualitative nature of the phase portrait changes. (If there is more than one such value, enter a comma-separated list.)**
\[ k = \text{[input field]} \]
4. **Draw phase portraits for values of \( k \) slightly above and slightly below each of the critical values you found.**
---
**Explanation of Graphs/Diagrams:**
- The system of differential equations \(\frac{d}{dt} \vec{x} = \begin{pmatrix} 4 & -2 \\ k & -4 \end{pmatrix} \vec{x} \) represents a linear system where the matrix components influence the behavior of the solutions over time.
- The eigenvalues \(\lambda\) determine the stability and type of equilibrium points. Knowing \(\lambda\) informs us about whether the solutions grow, decay, or oscillate as time progresses.
- By setting \(k = 16\), the type of equilibrium at the origin can be found, which categorizes the kind of attraction or repulsion at that point.
- Critical values of \(k\) are those at which small changes lead to different qualitative behavior in the phase portraits, indicating transitions in stability or type of equilibrium.
Drawing phase portraits near these critical values helps visualize the dynamic behavior of the system and understand how solutions evolve with respect to different \( k \) values.
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