Concept Questions: 11-18-2011 MA2940: Linear Algebra for Engineers 1) (T/F) If λ = 0 is an eigenvalue of a square matrix A , then A cannot be a Markov matrix. 2) (T/F) If λ = 0 is an eigenvalue of a square matrix A , then A cannot be a symmetric matrix. 3) (T/F) All Markov matrices are diagonalizable. 4) (T/F) Given 3 eigenvalues of a matrix and three eigenvectors, the matrix is uniquely
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This note was uploaded on 01/02/2012 for the course MATH 2940 at Cornell University (Engineering School).