Functions of a matrix
Keywords: functional calculus · spectral decomposition · square root · inverse · exponential · minimal polynomial · spectral projectors · time evolution
Exercise 1 : Functions of a matrix
For a Hermitian matrix with spectral decomposition , where the are the orthogonal projectors onto the eigenspaces, define for every function defined on the spectrum. Consider again the matrix
where is the matrix all of whose entries are , which satisfies . Assume that has eigenvalue , with projector , and eigenvalue , with projector .
Verification: . Similarly, and . This is the unique square root of whose eigenvalues are positive; others exist, for example .
in agreement with the statement. Finally, expanding the relation gives , or , hence .
Since and , the amplitude for remaining in the initial state is and the probability is It oscillates between and , at angular frequency , equal to the difference between the two eigenvalues of divided by : this is a beat between the two energy levels. For example, this model describes a particle that can move from one site to either of the other two sites of a triangle.