Math Problem Statement

Classify the equilibrium point at the origin for the system \(\frac{dY}{dt} = AY\) with \(A = \begin{bmatrix} -15 & 5 \\ 3 & -1 \end{bmatrix}\).

Solution

To classify the equilibrium point at the origin for the system dYdt=AY\frac{dY}{dt} = AY where A=[15531]A = \begin{bmatrix} -15 & 5 \\ 3 & -1 \end{bmatrix}, we need to analyze the eigenvalues of matrix AA. The type of equilibrium point depends on the nature (real or complex) and sign of the eigenvalues.

Step-by-Step Solution

  1. Calculate the Eigenvalues of AA: For matrix AA, the eigenvalues λ\lambda satisfy the characteristic polynomial: det(AλI)=0\det(A - \lambda I) = 0 where II is the identity matrix. Thus, we have: det[15λ531λ]=0\det \begin{bmatrix} -15 - \lambda & 5 \\ 3 & -1 - \lambda \end{bmatrix} = 0

  2. Find the Determinant: Expanding the determinant: (15λ)(1λ)(5)(3)=0(-15 - \lambda)(-1 - \lambda) - (5)(3) = 0 Simplifying, we get: λ2+16λ+20=0\lambda^2 + 16\lambda + 20 = 0

  3. Solve for λ\lambda: Using the quadratic formula: λ=16±(16)2412021\lambda = \frac{-16 \pm \sqrt{(16)^2 - 4 \cdot 1 \cdot 20}}{2 \cdot 1} =16±256802= \frac{-16 \pm \sqrt{256 - 80}}{2} =16±1762= \frac{-16 \pm \sqrt{176}}{2} =16±4112= \frac{-16 \pm 4\sqrt{11}}{2} =8±211= -8 \pm 2\sqrt{11} This results in two real eigenvalues: λ1=8+211\lambda_1 = -8 + 2\sqrt{11} and λ2=8211\lambda_2 = -8 - 2\sqrt{11}.

  4. Determine the Type of Equilibrium Point:

    • Since both eigenvalues are real and negative, the equilibrium point is stable.
    • Specifically, when both eigenvalues are real and negative, the system is classified as a sink.

Answer:

The equilibrium point at the origin is a sink.

Would you like further details or have any questions?


Here are 5 related questions for further study:

  1. How would the classification change if one eigenvalue was positive and the other negative?
  2. What if both eigenvalues were complex with a negative real part?
  3. How do we interpret the eigenvalues geometrically for stability analysis?
  4. Can this classification be visualized on a phase portrait?
  5. What are the implications of a saddle point in a system?

Tip: The eigenvalues of the system matrix provide insight into stability and the type of equilibrium point, with their real parts indicating growth or decay rates.

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Math Problem Analysis

Mathematical Concepts

Linear Algebra
Differential Equations
Eigenvalues
Stability Analysis

Formulas

Characteristic polynomial: \(\det(A - \lambda I) = 0\)
Quadratic formula: \(\lambda = \frac{-b \pm \sqrt{b^2 - 4ac}}{2a}\)

Theorems

Eigenvalue Stability Theorem

Suitable Grade Level

College