• } for some m × n {\displaystyle m\times n} matrix A {\displaystyle A} , called the transformation matrix of T {\displaystyle T} .[citation needed] Note...
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  • Thumbnail for Affine transformation
    an affine transformation is invertible, the square matrix A {\displaystyle A} appearing in its matrix representation is invertible. The matrix representation...
    27 KB (3,596 words) - 18:01, 8 November 2024
  • Thumbnail for Lorentz transformation
    dealt further in this article. Writing the general matrix transformation of coordinates as the matrix equation [ x ′ 0 x ′ 1 x ′ 2 x ′ 3 ] = [ Λ 0 0 Λ 0...
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  • &\lbrack b_{n}\rbrack _{C}\end{bmatrix}}} This matrix is referred to as the basis transformation matrix from B to C. It can be regarded as an automorphism...
    8 KB (1,310 words) - 04:38, 4 February 2024
  • Similarity transformation may refer to: Similarity (geometry), for shape-preserving transformations Matrix similarity, for matrix transformations of the form...
    358 bytes (60 words) - 15:38, 16 August 2015
  • conjugate transpose v * {\textstyle v^{\textsf {*}}} . The matrix constructed from this transformation can be expressed in terms of an outer product as: P =...
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  • Thumbnail for Matrix (mathematics)
    square matrix are the roots of a polynomial determinant. In geometry, matrices are widely used for specifying and representing geometric transformations (for...
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  • a DFT matrix is an expression of a discrete Fourier transform (DFT) as a transformation matrix, which can be applied to a signal through matrix multiplication...
    11 KB (2,103 words) - 19:46, 11 November 2024
  • example when the identity matrix represents a geometric transformation, the object remains unchanged by the transformation. In other contexts, it is analogous...
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  • Thumbnail for Shear mapping
    shear transformation, transvection, or just shearing. The transformations can be applied with a shear matrix or transvection, an elementary matrix that...
    13 KB (1,885 words) - 14:31, 26 May 2024
  • of a tridiagonal matrix is given by the continuant of its elements. An orthogonal transformation of a symmetric (or Hermitian) matrix to tridiagonal form...
    18 KB (2,704 words) - 06:08, 29 August 2024
  • Thumbnail for Transformation (function)
    Transformation geometry Transformation semigroup Transformation group Transformation matrix "Self-Map -- from Wolfram MathWorld". Retrieved March 4, 2024. Olexandr...
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  • } A linear transformation L can be represented by a matrix, which means L : v → [L]v, where [L] is an n×n matrix. A linear transformation is a rigid transformation...
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  • rotation matrix is a transformation matrix that is used to perform a rotation in Euclidean space. For example, using the convention below, the matrix R = [...
    99 KB (15,031 words) - 06:23, 11 October 2024
  • being the change-of-basis matrix. A transformation A ↦ P−1AP is called a similarity transformation or conjugation of the matrix A. In the general linear...
    8 KB (1,081 words) - 22:11, 19 October 2024
  • be defined by a nonsingular (n+1) × (n+1) matrix [ai,j], called the matrix of the homography. This matrix is defined up to the multiplication by a nonzero...
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  • Affine transformation, in geometry Linear transformation between modules in linear algebra. Also called a linear map. Transformation matrix which represent...
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  • constant or multiplier of the transformation. The transformation is said to be elliptic if it can be represented by a matrix H {\displaystyle {\mathfrak...
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  • numbers. The determinant of any orthogonal matrix is either +1 or −1. As a linear transformation, an orthogonal matrix preserves the inner product of vectors...
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  • component). The power-invariant, right-handed, uniformly-scaled Clarke transformation matrix is K C = 2 3 ⋅ [ 1 − 1 2 − 1 2 0 3 2 − 3 2 1 2 1 2 1 2 ] {\displaystyle...
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  • the form of an n by n matrix A, then the eigenvalue equation for a linear transformation above can be rewritten as the matrix multiplication A v = λ...
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  • whitening transformation or sphering transformation is a linear transformation that transforms a vector of random variables with a known covariance matrix into...
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  • Bogoliubov transformations are linear recombination of operators, it is more convenient and insightful to write them in terms of matrix transformations. If a...
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  • In linear algebra, a diagonal matrix is a matrix in which the entries outside the main diagonal are all zero; the term usually refers to square matrices...
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  • Thumbnail for Tensor
    contravariant transformations, with one transformation law for each index. If the transformation matrix of an index is the inverse matrix of the basis...
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  • Thumbnail for Transpose
    transpose of a matrix is an operator which flips a matrix over its diagonal; that is, it switches the row and column indices of the matrix A by producing...
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  • vector calculus, the Jacobian matrix (/dʒəˈkoʊbiən/, /dʒɪ-, jɪ-/) of a vector-valued function of several variables is the matrix of all its first-order partial...
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  • Thumbnail for Forward kinematics
    1 T i ( θ i ) {\displaystyle {}^{i-1}T_{i}(\theta _{i})} is the transformation matrix from the frame of link i {\displaystyle i} to link i − 1 {\displaystyle...
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  • Though matrix representations are not strictly necessary for Galilean transformation, they provide the means for direct comparison to transformation methods...
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  • Such a matrix is also called a Frobenius matrix, a Gauss matrix, or a Gauss transformation matrix. A block triangular matrix is a block matrix (partitioned...
    21 KB (3,152 words) - 10:34, 12 November 2024