Similarities between Matrix similarity and Skew-symmetric matrix
Matrix similarity and Skew-symmetric matrix have 12 things in common (in Unionpedia): Basis (linear algebra), Complex number, Determinant, Diagonal matrix, Eigenvalues and eigenvectors, Invertible matrix, Linear algebra, Linear map, Normal matrix, Spectral theorem, Trace (linear algebra), Unitary matrix.
Basis (linear algebra)
In mathematics, a set of elements (vectors) in a vector space V is called a basis, or a set of, if the vectors are linearly independent and every vector in the vector space is a linear combination of this set.
Basis (linear algebra) and Matrix similarity · Basis (linear algebra) and Skew-symmetric matrix ·
Complex number
A complex number is a number that can be expressed in the form, where and are real numbers, and is a solution of the equation.
Complex number and Matrix similarity · Complex number and Skew-symmetric matrix ·
Determinant
In linear algebra, the determinant is a value that can be computed from the elements of a square matrix.
Determinant and Matrix similarity · Determinant and Skew-symmetric matrix ·
Diagonal matrix
In linear algebra, a diagonal matrix is a matrix in which the entries outside the main diagonal are all zero.
Diagonal matrix and Matrix similarity · Diagonal matrix and Skew-symmetric matrix ·
Eigenvalues and eigenvectors
In linear algebra, an eigenvector or characteristic vector of a linear transformation is a non-zero vector that changes by only a scalar factor when that linear transformation is applied to it.
Eigenvalues and eigenvectors and Matrix similarity · Eigenvalues and eigenvectors and Skew-symmetric matrix ·
Invertible matrix
In linear algebra, an n-by-n square matrix A is called invertible (also nonsingular or nondegenerate) if there exists an n-by-n square matrix B such that where In denotes the n-by-n identity matrix and the multiplication used is ordinary matrix multiplication.
Invertible matrix and Matrix similarity · Invertible matrix and Skew-symmetric matrix ·
Linear algebra
Linear algebra is the branch of mathematics concerning linear equations such as linear functions such as and their representations through matrices and vector spaces.
Linear algebra and Matrix similarity · Linear algebra and Skew-symmetric matrix ·
Linear map
In mathematics, a linear map (also called a linear mapping, linear transformation or, in some contexts, linear function) is a mapping between two modules (including vector spaces) that preserves (in the sense defined below) the operations of addition and scalar multiplication.
Linear map and Matrix similarity · Linear map and Skew-symmetric matrix ·
Normal matrix
In mathematics, a complex square matrix is normal if where is the conjugate transpose of.
Matrix similarity and Normal matrix · Normal matrix and Skew-symmetric matrix ·
Spectral theorem
In mathematics, particularly linear algebra and functional analysis, a spectral theorem is a result about when a linear operator or matrix can be diagonalized (that is, represented as a diagonal matrix in some basis).
Matrix similarity and Spectral theorem · Skew-symmetric matrix and Spectral theorem ·
Trace (linear algebra)
In linear algebra, the trace of an n-by-n square matrix A is defined to be the sum of the elements on the main diagonal (the diagonal from the upper left to the lower right) of A, i.e., where aii denotes the entry on the ith row and ith column of A. The trace of a matrix is the sum of the (complex) eigenvalues, and it is invariant with respect to a change of basis.
Matrix similarity and Trace (linear algebra) · Skew-symmetric matrix and Trace (linear algebra) ·
Unitary matrix
In mathematics, a complex square matrix is unitary if its conjugate transpose is also its inverse—that is, if where is the identity matrix.
Matrix similarity and Unitary matrix · Skew-symmetric matrix and Unitary matrix ·
The list above answers the following questions
- What Matrix similarity and Skew-symmetric matrix have in common
- What are the similarities between Matrix similarity and Skew-symmetric matrix
Matrix similarity and Skew-symmetric matrix Comparison
Matrix similarity has 36 relations, while Skew-symmetric matrix has 48. As they have in common 12, the Jaccard index is 14.29% = 12 / (36 + 48).
References
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