Conjugate transpose - Wikipedia
https://en.wikipedia.org/wiki/Conjugate_transposeIn mathematics, the conjugate transpose (or Hermitian transpose) of an m-by-n matrix with complex entries is the n-by-m matrix obtained from by taking the transpose and then taking the complex conjugate of each entry (the complex conjugate of being , for real numbers and ). It is often denoted as or . For real matrices, the conjugate transpose is just the transpose, .
MATHEMATICA tutorial, Part 2.1: Matrices - Brown University
https://www.cfm.brown.edu/people/dobrush/am34/Mathematica/ch1/matrix.htmlMathematica offers several ways for constructing matrices: Table [f, {i,m}, {j,n}] Build an m×n matrix where f is a function of i and j that gives the value of the i,j entry. Array [f, {m,n}] Build an m×n matrix whose i,j entry is f [i,j] ConstantArray [a, {m,n}] Build an …
MATHEMATICA tutorial, Part 2.1: Matrices
www.cfm.brown.edu › Mathematica › ch1A square complex matrix whose transpose is equal to the matrix with every entry replaced by its complex conjugate (denoted here with an overline) is called a self-adjoint matrix or a Hermitian matrix (equivalent to the matrix being equal to its conjugate transpose); that is, A is self-adjoint or Hermitian if \( {\bf A} = {\bf A}^{\ast} .
Hermitian matrix - Wikipedia
https://en.wikipedia.org/wiki/Hermitian_matrixIn mathematics, a Hermitian matrix (or self-adjoint matrix) is a complex square matrix that is equal to its own conjugate transpose—that is, the element in the i-th row and j-th column is equal to the complex conjugate of the element in the j-th row and i-th column, for all indices i and j: or in matrix form: Hermitian matrices can be understood as the complex extension of real symmetric matrices.