Math Problem Statement

Mid-term-Exam.pdf

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Solution

The document is a mid-term exam for a course titled "MENG 501 Computational Mathematics for Engineers" from Camarines Sur Polytechnic Colleges. Here is a breakdown of the exam questions:

  1. Matrix Commutation Problem:

    • Two matrices are given: B = \begin{pmatrix} 1 & 2 \\ 1 & 0 \end{pmatrix}$$ The task is to find values of $$a$$ and $$b$$ such that $$AB = BA$$.
  2. Matrix Inversion:

    • You are asked to find the inverse of the matrix: A=(123253108)A = \begin{pmatrix} 1 & 2 & 3 \\ 2 & 5 & 3 \\ 1 & 0 & 8 \end{pmatrix} using two different methods.
  3. Eigenvalues and Eigenvectors:

    • Find the eigenvalues and eigenvectors of the matrix: B=(310031378)B = \begin{pmatrix} 3 & 1 & 0 \\ 0 & 3 & 1 \\ 3 & -7 & 8 \end{pmatrix}
  4. Mechanical and Electrical Engineering Problem:

    • Depending on your specialization:
      • For Electrical Engineering: Derive and write the system of equations for a given electric circuit in the form Ax=bA x = b.
      • For Mechanical Engineering: Derive the equations for a compound-mass spring system and write them in the form x˙+Ax=0\dot{x} + Ax = 0.

Would you like assistance with solving any specific problem from this exam?

Here are some follow-up questions that could expand your understanding:

  1. Would you like to see the detailed solution to the matrix commutation problem?
  2. Are you interested in learning both methods for finding a matrix inverse?
  3. Should we go through the step-by-step process for calculating eigenvalues and eigenvectors?
  4. Would you prefer a deeper explanation of how to set up matrix equations in electrical circuits?
  5. Are you looking for help deriving the equations for the mechanical system?

Tip: When solving for eigenvalues, always check if the determinant of λIA=0\lambda I - A = 0 simplifies your calculations!

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Math Problem Analysis

Mathematical Concepts

Matrix Commutation
Matrix Inversion
Eigenvalues and Eigenvectors
Matrix Equations in Engineering

Formulas

Matrix commutation: AB = BA
Inverse of matrix: A^-1
Eigenvalue equation: det(λI - A) = 0
Matrix equation: A x = b or x' + Ax = 0

Theorems

Eigenvalue Theorem
Inverse Matrix Theorem
Commutative Property of Matrices

Suitable Grade Level

University Level - Graduate Engineering