Let Q be an orthogonal matrix with an eigenvalue λ1 = 1 and let x be an eigenvector belonging to λ1. Show that x is also an eigenvector of QT .

Let M be a 2 × 2 matrix with eigenvalues ₁ = -1.2, A2 = 1 with corresponding eigenvectors Consider the difference equation with initial condition Xo = 5 3 V₁ = V2 = 2 xk+1 = Mxk Write the initial condition as a linear combination of the eigenvectors of M. That is, write x0 = c1V1 + C₂ V₂ = In general, xk= V1+ V2 ) * vi+ k ) v2 Specifically, x4 = For large k, xk≈ k

Find a set of linearly independent eigenvectors.

the matrix A= }] has eigenvalues A₁ = 1 and A₂ = 5. The bases of the eigenspaces are v₁ = -12 Find an invertible matrix S and a diagonal matrix D such that S-¹AS = D. S= D= and v₂ = , respectively