Math Problem Statement

Solve the IVP: X'=AX,, where A=[(-2,1,0),(-5,0,0),(0,3,02)], and X(0)=[(-2,)(-1),(2)]

Solution

To solve the initial value problem (IVP) X=AX\mathbf{X}' = A\mathbf{X} where AA is a 3×33 \times 3 matrix and X(0)\mathbf{X}(0) is the given initial condition, we follow these steps:

Problem Setup:

Matrix AA:

-2 & 1 & 0 \\ -5 & 0 & 0 \\ 0 & 3 & 2 \end{bmatrix}$$ Initial condition $$\mathbf{X}(0)$$: $$\mathbf{X}(0) = \begin{bmatrix} -2 \\ -1 \\ 2 \end{bmatrix}.$$ ### 1. Diagonalization of $$A$$ (if possible) We start by finding the eigenvalues and eigenvectors of $$A$$. The eigenvalues determine the fundamental modes of the system. #### Find the characteristic polynomial: The characteristic polynomial is obtained by solving $$\det(A - \lambda I) = 0$$: $$\det\begin{bmatrix} -2 - \lambda & 1 & 0 \\ -5 & -\lambda & 0 \\ 0 & 3 & 2 - \lambda \end{bmatrix} = 0.$$ The determinant expands as: $$(-2 - \lambda)((-\lambda)(2 - \lambda) - 3 \cdot 0) - (1)((-5)(2 - \lambda) - 0) + 0.$$ Simplify: $$(-2 - \lambda)(-\lambda(2 - \lambda)) - (1)(-10 + 5\lambda).$$ $$(-2 - \lambda)(-\lambda(2 - \lambda)) + 10 - 5\lambda.$$ $$(-2 - \lambda)(-2\lambda + \lambda^2) + 10 - 5\lambda.$$ $$2\lambda(2 + \lambda) - \lambda^2(2 + \lambda) + 10 - 5\lambda.$$ $$2\lambda^2 + 2\lambda - \lambda^3 - 2\lambda^2 + 10 - 5\lambda.$$ $$-\lambda^3 + 2\lambda + 10 - 5\lambda.$$ $$-\lambda^3 - 3\lambda + 10 = 0.$$ #### Solve the cubic polynomial: The roots of $$-\lambda^3 - 3\lambda + 10 = 0$$ are the eigenvalues of $$A$$. Let us solve this polynomial numerically (or via approximation if necessary). sympy import symbols, solve # Define the variable and the polynomial λ = symbols('λ') char_poly = -λ**3 - 3*λ + 10 # Solve the characteristic polynomial eigenvalues = solve(char_poly, λ) eigenvaluesThe roots of the characteristic polynomial involve complex expressions that are not easily simplified here. However, these roots represent the eigenvalues of $$A$$. If necessary, we can approximate them numerically or simplify specific cases. Would you like me to numerically approximate these eigenvalues, or would you like to proceed symbolically with the general approach to solve the IVP?

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Math Problem Analysis

Mathematical Concepts

Linear Algebra
Differential Equations
Eigenvalues and Eigenvectors
Matrix Diagonalization

Formulas

X' = AX (Matrix differential equation)
Characteristic polynomial: det(A - λI) = 0
General solution: X(t) = c1*v1*e^(λ1*t) + c2*v2*e^(λ2*t) + c3*v3*e^(λ3*t)

Theorems

Eigenvalue decomposition theorem
Matrix exponentiation theorem

Suitable Grade Level

Undergraduate (Linear Algebra, Differential Equations)