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  2. Conjugate transpose - Wikipedia

    en.wikipedia.org/wiki/Conjugate_transpose

    The conjugate transpose of a matrix with real entries reduces to the transpose of , as the conjugate of a real number is the number itself. The conjugate transpose can be motivated by noting that complex numbers can be usefully represented by 2 × 2 {\displaystyle 2\times 2} real matrices, obeying matrix addition and multiplication: [ 3 ]

  3. Hermitian matrix - Wikipedia

    en.wikipedia.org/wiki/Hermitian_matrix

    Here, we offer another useful Hermitian matrix using an abstract example. If a square matrix equals the product of a matrix with its conjugate transpose, that is, =, then is a Hermitian positive semi-definite matrix.

  4. Complex conjugate - Wikipedia

    en.wikipedia.org/wiki/Complex_conjugate

    The complex conjugate of a complex number is written as ¯ or . The first notation, a vinculum, avoids confusion with the notation for the conjugate transpose of a matrix, which can be thought of as a generalization of the complex conjugate.

  5. Matrix similarity - Wikipedia

    en.wikipedia.org/wiki/Matrix_similarity

    When defining a linear transformation, it can be the case that a change of basis can result in a simpler form of the same transformation. For example, the matrix representing a rotation in R 3 when the axis of rotation is not aligned with the coordinate axis can be complicated to compute.

  6. Unitary matrix - Wikipedia

    en.wikipedia.org/wiki/Unitary_matrix

    In linear algebra, an invertible complex square matrix U is unitary if its matrix inverse U −1 equals its conjugate transpose U *, that is, if = =, where I is the identity matrix.. In physics, especially in quantum mechanics, the conjugate transpose is referred to as the Hermitian adjoint of a matrix and is denoted by a dagger (⁠ † ⁠), so the equation above is written

  7. Conjugacy class - Wikipedia

    en.wikipedia.org/wiki/Conjugacy_class

    Two elements , are conjugate if there exists an element such that =, in which case is called a conjugate of and is called a conjugate of . In the case of the general linear group GL ⁡ ( n ) {\displaystyle \operatorname {GL} (n)} of invertible matrices , the conjugacy relation is called matrix similarity .

  8. List of named matrices - Wikipedia

    en.wikipedia.org/wiki/List_of_named_matrices

    A square matrix which is equal to its conjugate transpose, A = A *. Hessenberg matrix: An "almost" triangular matrix, for example, an upper Hessenberg matrix has zero entries below the first subdiagonal. Hollow matrix: A square matrix whose main diagonal comprises only zero elements. Integer matrix: A matrix whose entries are all integers ...

  9. Complex conjugate root theorem - Wikipedia

    en.wikipedia.org/wiki/Complex_conjugate_root_theorem

    For example, if the matrix is orthogonal, then 1 or −1 is an eigenvalue. ... Since non-real complex roots come in conjugate pairs, there are an even number of them;