Brian Silverman | 72890c2 | 2015-09-19 14:37:37 -0400 | [diff] [blame^] | 1 | MatrixXcf A = MatrixXcf::Random(4,4); |
| 2 | cout << "Here is a random 4x4 matrix, A:" << endl << A << endl << endl; |
| 3 | |
| 4 | ComplexEigenSolver<MatrixXcf> ces; |
| 5 | ces.compute(A); |
| 6 | cout << "The eigenvalues of A are:" << endl << ces.eigenvalues() << endl; |
| 7 | cout << "The matrix of eigenvectors, V, is:" << endl << ces.eigenvectors() << endl << endl; |
| 8 | |
| 9 | complex<float> lambda = ces.eigenvalues()[0]; |
| 10 | cout << "Consider the first eigenvalue, lambda = " << lambda << endl; |
| 11 | VectorXcf v = ces.eigenvectors().col(0); |
| 12 | cout << "If v is the corresponding eigenvector, then lambda * v = " << endl << lambda * v << endl; |
| 13 | cout << "... and A * v = " << endl << A * v << endl << endl; |
| 14 | |
| 15 | cout << "Finally, V * D * V^(-1) = " << endl |
| 16 | << ces.eigenvectors() * ces.eigenvalues().asDiagonal() * ces.eigenvectors().inverse() << endl; |