Mastering SciPy

Matrix functions

A matrix function is a function that maps a square matrix to another square matrix via a power series. These should not be confused with vectorization: the application of any given function of one variable to each element of a matrix. For example, it is not the same to compute the square of a square matrix, A.dot(A) (for example, In [8]), than a matrix with all the elements of A squared (examples In [5] through In []).

Note

To make the proper distinction in notation, we will write A^2 to denote the actual square of a square matrix and A^n to represent the subsequent powers (for all positive integers n).

Constructor	Description
scipy.linalg.funm(A, func, disp)	Extension of a scalar-valued function called func to a matrix