Linear Algebra and the C Language/a0dh

__NOTOC__ In linear algebra, an eigenvector is a vector that has its direction unchanged (or reversed) by a given linear transformation ... Wikipedia: Eigenvectors Some properties: The sum of the eigenvalues ​​of A is equal to the trace of A: Random values ... ... ... ... ... Octave The product of the eigenvalues ​​of A is equal to the determinant of A: Random values ... ... ... ... ... Octave The eigenvalues ​​of the inverse of A correspond to the inverses of the eigenvalues ​​of A: Random values ... ... ... ... ... Octave The eigenvalues ​​of sA correspond to the eigenvalues ​​of A multiplied by s: Random values ... ... ... ... ... Octave The eigenvalues ​​of A+sID correspond to the eigenvalues ​​of A plus s: Random values ... ... ... ... ... Octave The eigenvalues ​​of A**P correspond to the eigenvalues ​​of A to the power of P: Random values ... ... ... ... ... Octave Similar matrices have the same eigenvalues. Random values The eignvectors form an orthonormal basis: Random values We know that: A V = λ V. If λ = 0 with A and V different from zero, verify if A V = 0. c00a.c c00b.c We know that: A V = λ V. If λ = 0 with A and V different from zero, verify if A V = 0. c00c.c c00d.c