rand.random_circulant_gram_matrix ================================= .. py:module:: rand.random_circulant_gram_matrix .. autoapi-nested-parse:: Generates a random circulant Gram matrix. Functions --------- .. autoapisummary:: rand.random_circulant_gram_matrix.random_circulant_gram_matrix Module Contents --------------- .. py:function:: random_circulant_gram_matrix(dim, seed = None) Generate a random circulant Gram matrix of specified dimension. A circulant matrix is a square matrix where the elements of each row are identical to the elements of the previous row such that the elements in one row are relocated by 1 position (in a cyclic manner) compared to the previous row. The eigenvalues and eigenvectors of this matrix are derived from the Discrete Fourier Transform (DFT). For more information on circulant matrices, see :footcite:`WikiCirculantMat`. This function utilizes the normalized DFT, a variation of DFT with normalized basis vectors. For additional information, see :footcite:`DSPNormDFT`. The function creates a circulant matrix from a random diagonal matrix and the normalized DFT matrix. First, it generates a diagonal matrix with random non-negative entries. Next, it constructs the normalized DFT matrix. Finally, it computes the circulant matrix, which is real due to its origin from the DFT of a real diagonal matrix. .. rubric:: Examples Generate a random circulant Gram matrix of dimension 4. .. jupyter-execute:: import numpy as np from toqito.rand import random_circulant_gram_matrix circulant_matrix = random_circulant_gram_matrix(4) print(f"Shape of circulant matrix is {circulant_matrix.shape}") .. jupyter-execute:: print(np.allclose(circulant_matrix, circulant_matrix.T)) .. jupyter-execute:: circulant_matrix It is also possible to pass a seed to this function for reproducibility. .. jupyter-execute:: from toqito.rand import random_circulant_gram_matrix circulant_matrix = random_circulant_gram_matrix(4, seed=42) circulant_matrix .. rubric:: References .. footbibliography:: :param dim: int The dimension of the circulant matrix to generate. :param seed: int | None A seed used to instantiate numpy's random number generator. :return: numpy.ndarray A `dim` x `dim` real, symmetric, circulant matrix.