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HomeMIT 18.065 Matrix Methods in Data Analysis, Signal Processing, and Machine Learning, Spring 2018Lecture 31: Eigenvectors of Circulant Matrices: Fourier Matrix
Lecture 31: Eigenvectors of Circulant Matrices: Fourier Matrix
52:37
Description
This lecture continues with constant-diagonal circulant matrices. Each lower diagonal continues on an upper diagonal to produce \(n\) equal entries. The eigenvectors are always the columns of the Fourier matrix and computing is fast.
SummaryCirculants \(C\) have \(n\) constant diagonals (completed cyclically).
Cyclic convolution with \(c_0, …, c_{n-1} =\) multiplication by \(C\)
Linear shift invariant: LSI for periodic problems
Eigenvectors of every \(C =\) columns of the Fourier matrix
Eigenvalues of \(C =\) (Fourier matrix)(column zero of \(C\))
Related section in textbook: IV.2
Instructor: Prof. Gilbert Strang