Linear algebra

Domain — 95 words

This page gathers the 95 dictionary entries belonging to the domain “Linear algebra”, as labelled by Wiktionary. Each word leads to its full entry: definitions, etymology, pronunciation, examples.

  1. adjoint noun Transpose conjugate.
  2. affine transformation noun A geometric transformation that preserves lines and parallelism, but in general not lengths or angles; (more formally) an automorphism of…
  3. antisymmetric adj Whose transpose equals its negative (i.e., Mᵀ = −M);
  4. augmented matrix noun Matrix obtained by appending the columns of two given matrices, usually for the purpose of performing the same elementary row operations on…
  5. back substitution noun A method of solving linear systems that have been transformed into row echelon form.
  6. basis noun In a vector space, a linearly independent set of vectors spanning the whole vector space.
  7. bilinear adj Linear (preserving linear combinations) in each variable.
  8. bilinear form noun A function of two arguments from the same vector space which maps onto a field of scalars, which acts like a linear form with respect to…
  9. bra noun One of the two vectors in the standard notation for describing quantum states in quantum mechanics, the row vector; the other (column)…
  10. characteristic polynomial noun The polynomial produced from a given square matrix by first subtracting the appropriate identity matrix multiplied by an indeterminant and…
  11. coefficient matrix noun A matrix consisting of the coefficients of the variables in a set of linear equations. The matrix is used in solving systems of linear…
  12. cofactor noun The signed determinant of the submatrix produced by removing the row and column containing a specified element; primarily used in the…
  13. congruence noun Matrix similarity by an orthogonal matrix.
  14. contravariance noun Of vectors, the property of scaling inversely with a change of basis, as opposed to covariance.
  15. contravariant adj Scaling inversely with a change of basis.
  16. convex combination noun A linear combination (of vectors in Euclidean space) in which the coefficients are non-negative and all add up to one.
  17. Cramer's rule noun An explicit formula for the solution of a system of linear equations with as many equations as unknowns, valid whenever the system has a…
  18. cross term noun In a quadratic form, a term which is not a squared variable; i.e., a term with more than one variable.
  19. defective matrix noun A square (n×n) matrix that has fewer than n linearly independent eigenvectors, and is therefore not diagonalisable.
  20. determinant noun A scalar that encodes certain characteristics of a given transformation matrix; the unique scalar function over square matrices which is…
  21. diagonal element noun An element on the main diagonal of a square matrix; that is, an element in row k and column k, where k is an integer between 1 and the…
  22. dimension noun The number of elements of any basis of a vector space.
  23. direct sum noun A linear sum in which the intersection of the summands has dimension zero. Equivalently, a linear sum of two subspaces, any vector of which…
  24. dual adj Being the space of all linear functionals of (some other space).
  25. echelon adj Of a matrix: having undergone Gaussian elimination with the result that the leading coefficient or pivot (that is, the first nonzero number…
  26. echelon form noun row echelon form
  27. eigen- prefix Forms terms pertaining to or related to eigenvectors, eigenvalues; especially for naming mathematical objects which are not affected by a…
  28. eigendecomposition noun The factorization of a matrix into a canonical form, whereby the matrix is represented in terms of its eigenvalues and eigenvectors.
  29. eigenpair noun The mathematical pair of an eigenvector (ẕ), and its associated eigenvalue (λ). This is written as (λ,ẕ)
  30. eigenspace noun The linear subspace consisting of all eigenvectors associated with a particular eigenvalue, together with the zero vector.
  31. eigenvalue noun A scalar λ, such that there exists a non-zero vector x (a corresponding eigenvector) for which the image of x under a given linear…
  32. eigenvector noun A vector that is only scaled (not rotated out of its span) under a particular linear transformation; a left or right eigenvector depending…
  33. elementary matrix noun A square matrix which is obtained from the identity matrix by a single elementary row (or column) operation.
  34. entry noun A term at any position in a matrix.
  35. flag noun A sequence of subspaces of a vector space, beginning with the null space and ending with the vector space itself, such that each member of…
  36. full rank adj Having the highest possible rank for its size; having a rank (dimension) equal to the number of columns or the number of rows.
  37. Hermitian matrix noun A square matrix A with complex entries that is equal to its own conjugate transpose, i.e., such that A=A^†.
  38. homogeneous adj Such that all the constant terms are zero.
  39. immanant noun A function or property of a matrix, defined as a generalization of the concepts of determinant and permanent.
  40. inner product noun A generalization of the dot product for vectors of any dimensionality that may or may not be complex-numbered.
  41. inverse matrix noun Of a matrix A, another matrix B such that A multiplied by B and B multiplied by A both equal the identity matrix.
  42. invertible matrix noun Any n×n square matrix for which there exists a corresponding inverse matrix (i.e., a second (or possibly the same) matrix such that when…
  43. kernel noun The set of elements of M which are mapped to the additive identity 0 of N.
  44. ket noun A column vector, in Hilbert space, especially as representing the state of a quantum mechanical system; the complex conjugate transpose of…
  45. left eigenvalue noun An eigenvalue corresponding to the left transform of a given linear operator; i.e. λ such that urm A=uλ.
  46. left eigenvector noun An eigenvector corresponding to the left transform of a given linear operator; i.e. u such that urm A=uλ.
  47. left nullspace noun The vector space of all row vectors whose dot products with the columns of a given matrix are zero; the nullspace of the transpose of a…
  48. linear combination noun a sum, each of whose summands is an appropriate vector times an appropriate scalar (or ring element)
  49. linear span noun A linear subspace generated by all linear combinations of a given subset of vectors of a given vector space.
  50. linear subspace noun A subset of vectors of a vector space which is closed under the addition and scalar multiplication of that vector space.
  51. linear transformation noun A map between vector spaces which preserves the operations of vector addition and scalar multiplication.
  52. lu noun A matrix decomposition which writes a matrix as the product of a lower and upper triangular matrix, used in numerical analysis to solve…
  53. minimal polynomial noun For a given square matrix M over some field K, the smallest-degree monic polynomial over K which, when applied to M, yields the zero matrix.
  54. multilinear form noun Given a vector space V over a field K of scalars, a mapping Vᵏ → K that is linear in each of its arguments;
  55. nonsingular adj Invertible.
  56. nontrivial solution noun Any other answers apart from ⃑x=⃑0 to the linear system A⃑x=⃑0, signifying linear dependence of the linear system.
  57. normal adj Which commutes with its conjugate transpose.
  58. orthogonal matrix noun A square matrix whose columns, considered as vectors, are orthonormal to each other. This implies that the transpose of such a matrix is…
  59. orthonormal adj Of a set of vectors, both orthogonal and normalized.
  60. overdetermined adj Having more equations than variables.
  61. permanent noun Given an n×n matrix a_ij,, the sum over all permutations π, of ∏ᵢ₌₁ⁿa_iπ(i).
  62. polar cone noun Relative to a set S in Rⁿ, the set of points y such that the inner product of x and y is not positive for any point x in S.
  63. positive-definite adj Said of a real, square matrix: that the product of it with a column vector on its right side and the transpose of that column vector on its…
  64. projection noun An idempotent linear transformation which maps vectors from a vector space onto a subspace.
  65. projection matrix noun A transformation matrix whose associated transformation is a projection.
  66. QR decomposition noun A decomposition of a matrix into a product of a unitary matrix (orthogonal matrix) and an upper-triangular matrix.
  67. rank noun The maximal number of linearly independent columns (or rows) of a matrix.
  68. rank-deficient adj Not having full rank; having a rank (dimension) less than the number of columns and the number of rows.
  69. right eigenvalue noun An eigenvalue corresponding to the right transform of a given linear operator; i.e. λ such that rm Au=λu.
  70. right eigenvector noun An eigenvector corresponding to the right transform of a given linear operator; i.e. u such that rm Au=λu.
  71. row echelon form noun The stepped appearance of a matrix that has undergone Gaussian elimination with the result that the leading coefficient or pivot (that is…
  72. row-equivalence noun A relation between two matrices of the same size, such that every row of one matrix is a linear combination of the rows of the other…
  73. row-reduced adj Said of a matrix which has undergone row reduction; i.e., of a matrix which has a 1 as the leading entry of each one of its non-zero rows…
  74. scalar field noun The field (algebraic structure) for which scalar multiplication is defined for a given vector space; field of scalars.
  75. scalar multiplication noun Multiplication of a vector by a scalar (which belongs to the vector space's field of scalars).
  76. scalar product noun The product of two vectors computed as the sum of the corresponding elements of the vectors, or, equivalently, as the product of the…
  77. Schur decomposition noun A matrix decomposition allowing one to write complex square matrices as similar to a triangular matrix whose diagonal elements are the…
  78. self-dual adj Of a vector space, isomorphic to its dual space.
  79. semisimple adj For which every invariant subspace has an invariant complement, equivalent to the minimal polynomial being squarefree.
  80. similar adj Of two square matrices; being such that a conjugation sends one matrix to the other.
  81. similarity noun The property of two matrices being similar.
  82. singular adj Having no inverse.
  83. singular value decomposition noun A particular type of factorisation of a matrix into a product of three matrices, of which the second is a diagonal matrix that has as the…
  84. skew-symmetric adj Of a matrix, satisfying A^( textsf )T=-A, i.e. having entries on one side of the diagonal that are the additive inverses of their…
  85. spectrum noun The set of eigenvalues of a matrix.
  86. symplectic group noun For given field F and positive integer n, the group of 2n×2n symplectic matrices with elements in F.
  87. symplectic matrix noun For given field F (especially the real numbers), even order 2n and nonsingular skew-symmetric matrix Ω, any 2n×2n matrix M with elements in…
  88. syzygy noun A relation between generators of a module.
  89. tensor noun A mathematical object that describes linear relations on scalars, vectors, matrices and other algebraic objects, and is represented as a…
  90. trace noun The sum of the diagonal elements of a square matrix.
  91. transpose adj Created by transposing a specified matrix.
  92. trilinear adj Linear (preserving linear combinations) in each variable.
  93. unitary adj Whose inverse is equal to its adjoint.
  94. vector product noun a vector with the size given by the product of two vectors computed as the product of the magnitudes of the vectors and the sine of the…
  95. zero vector noun A vector 0 in a vector space V such that for any v∈V, 0+v=v; a vector whose value in every dimension is zero; i.e., ⃑0=<0,0,…,0>.

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