2017-07-27T18:12:27+03:00[Europe/Moscow] en true Operator (mathematics), Rotational symmetry, Direct sum of modules, Affine space, Dimension (vector space), Elementary matrix, Orientation (vector space), Bra–ket notation, Eigenvalues and eigenvectors, Euclidean space, Exterior algebra, Line segment, Quadratic form, Topological vector space, Adjugate matrix, Barycentric coordinate system, Levi-Civita symbol, Linear function (calculus), Linear form, Spectral theorem, Pseudoscalar, Vector-valued function, Determinant, Euler angles, Givens rotation, Homogeneous coordinates, Householder transformation, Linear map, Norm (mathematics), System of linear equations, Tensor product, Transformation matrix, Transpose, Symmetric algebra, Pseudovector, Z-order curve, 3D projection, Kernel (linear algebra), Standard basis, Quadruple product, Spherical basis, Row and column vectors, Scalar multiplication, Change of basis, Row and column spaces, Special linear group, Polarization identity, Spinors in three dimensions, Generalized eigenvector, Tensor operator flashcards
Linear algebra

Linear algebra

Customize
collection saved
Share
Long Term Learning Spaced Repetition
Add to Long Term Learning Desk
Fast learning Repeat this set of flashcards
Preview Test Spell
Play
Match
Review
  • Operator (mathematics)
    An operator is a mapping from one vector space or module to another.
  • Rotational symmetry
    Rotational symmetry, also known as radial symmetry in biology, is the property a shape has when it looks the same after some rotation by a partial turn.
  • Direct sum of modules
    In abstract algebra, the direct sum is a construction which combines several modules into a new, larger module.
  • Affine space
    In mathematics, an affine space is a geometric structure that generalizes the properties of Euclidean spaces that are independent of the concepts of distance and measure of angles, keeping only the properties related to parallelism and ratio of lengths for parallel line segments.
  • Dimension (vector space)
    In mathematics, the dimension of a vector space V is the cardinality (i.e. the number of vectors) of a basis of V over its base field.
  • Elementary matrix
    In mathematics, an elementary matrix is a matrix which differs from the identity matrix by one single elementary row operation.
  • Orientation (vector space)
    In mathematics, orientation is a geometric notion that in two dimensions allows one to say when a cycle goes around clockwise or counterclockwise, and in three dimensions when a figure is left-handed or right-handed.
  • Bra–ket notation
    In quantum mechanics, bra–ket notation is a standard notation for describing quantum states.
  • Eigenvalues and eigenvectors
    In linear algebra, an eigenvector or characteristic vector of a linear transformation is a non-zero vector that does not change its direction when that linear transformation is applied to it.
  • Euclidean space
    In geometry, Euclidean space encompasses the two-dimensional Euclidean plane, the three-dimensional space of Euclidean geometry, and certain other spaces.
  • Exterior algebra
    In mathematics, the exterior product or wedge product of vectors is an algebraic construction used in geometry to study areas, volumes, and their higher-dimensional analogs.
  • Line segment
    In geometry, a line segment is a part of a line that is bounded by two distinct end points, and contains every point on the line between its endpoints.
  • Quadratic form
    In mathematics, a quadratic form is a homogeneous polynomial of degree two in a number of variables.
  • Topological vector space
    In mathematics, a topological vector space (also called a linear topological space) is one of the basic structures investigated in functional analysis.
  • Adjugate matrix
    In linear algebra, the adjugate, classical adjoint, or adjunct of a square matrix is the transpose of its cofactor matrix.
  • Barycentric coordinate system
    In geometry, the barycentric coordinate system is a coordinate system in which the location of a point of a simplex (a triangle, tetrahedron, etc.) is specified as the center of mass, or barycenter, of usually unequal masses placed at its vertices.
  • Levi-Civita symbol
    In mathematics, particularly in linear algebra, tensor analysis, and differential geometry, the Levi-Civita symbol represents a collection of numbers; defined from the sign of a permutation of the natural numbers 1, 2, …, n, for some positive integer n.
  • Linear function (calculus)
    In calculus and related areas of mathematics, a linear function from the real numbers to the real numbers is a function whose graph (in Cartesian coordinates with uniform scales) is a line in the plane.
  • Linear form
    In linear algebra, a linear functional or linear form (also called a one-form or covector) is a linear map from a vector space to its field of scalars.
  • Spectral theorem
    In mathematics, particularly linear algebra and functional analysis, the spectral theorem is any of a number of results about linear operators or matrices.
  • Pseudoscalar
    In physics, a pseudoscalar is a quantity that behaves like a scalar, except that it changes sign under a parity inversion such as improper rotations while a true scalar does not.
  • Vector-valued function
    A vector-valued function, also referred to as a vector function, is a mathematical function of one or more variables whose range is a set of multidimensional vectors or infinite-dimensional vectors.
  • Determinant
    In linear algebra, the determinant is a useful value that can be computed from the elements of a square matrix.
  • Euler angles
    The Euler angles are three angles introduced by Leonhard Euler to describe the orientation of a rigid body.
  • Givens rotation
    In numerical linear algebra, a Givens rotation is a rotation in the plane spanned by two coordinates axes.
  • Homogeneous coordinates
    In mathematics, homogeneous coordinates or projective coordinates, introduced by August Ferdinand Möbius in his 1827 work Der barycentrische Calcül, are a system of coordinates used in projective geometry, as Cartesian coordinates are used in Euclidean geometry.
  • Householder transformation
    In linear algebra, a Householder transformation (also known as Householder reflection or elementary reflector) is a linear transformation that describes a reflection about a plane or hyperplane containing the origin.
  • Linear map
    In mathematics, a linear map (also called a linear mapping, linear transformation or, in some contexts, linear function) is a mapping V → W between two modules (including vector spaces) that preserves (in the sense defined below) the operations of addition and scalar multiplication.
  • Norm (mathematics)
    In linear algebra, functional analysis, and related areas of mathematics, a norm is a function that assigns a strictly positive length or size to each vector in a vector space—save for the zero vector, which is assigned a length of zero.
  • System of linear equations
    In mathematics, a system of linear equations (or linear system) is a collection of two or more linear equations involving the same set of variables.
  • Tensor product
    In mathematics, the tensor product, denoted by ⊗, may be applied in different contexts to vectors, matrices, tensors, vector spaces, algebras, topological vector spaces, and modules, among many other structures or objects.
  • Transformation matrix
    In linear algebra, linear transformations can be represented by matrices.
  • Transpose
    In linear algebra, the transpose of a matrix A is another matrix AT (also written A′, Atr, tA or At) created by any one of the following equivalent actions: * reflect A over its main diagonal (which runs from top-left to bottom-right) to obtain AT * write the rows of A as the columns of AT * write the columns of A as the rows of AT Formally, the i th row, j th column element of AT is the j th row, i th column element of A: If A is an m × n matrix then AT is an n × m matrix.
  • Symmetric algebra
    In mathematics, the symmetric algebra S(V) (also denoted Sym(V)) on a vector space V over a field K is the free commutative unital associative algebra over K containing V.
  • Pseudovector
    In physics and mathematics, a pseudovector (or axial vector) is a quantity that transforms like a vector under a proper rotation, but in three dimensions gains an additional sign flip under an improper rotation such as a reflection.
  • Z-order curve
    In mathematical analysis and computer science, Z-order, Morton order, or Morton code is a function which maps multidimensional data to one dimension while preserving locality of the data points.
  • 3D projection
    3D projection is any method of mapping three-dimensional points to a two-dimensional plane.
  • Kernel (linear algebra)
    In mathematics, and more specifically in linear algebra and functional analysis, the kernel (also known as null space or nullspace) of a linear map L : V → W between two vector spaces V and W, is the set of all elements v of V for which L(v) = 0, where 0 denotes the zero vector in W.
  • Standard basis
    In mathematics, the standard basis (also called natural basis) for a Euclidean space is the set of unit vectors pointing in the direction of the axes of a Cartesian coordinate system.
  • Quadruple product
    In mathematics, the quadruple product is a product of four vectors in three-dimensional Euclidean space.
  • Spherical basis
    In pure and applied mathematics, particularly quantum mechanics and computer graphics and their applications, a spherical basis is the basis used to express spherical tensors.
  • Row and column vectors
    In linear algebra, a column vector or column matrix is an m × 1 matrix, that is, a matrix consisting of a single column of m elements, Similarly, a row vector or row matrix is a 1 × m matrix, that is, a matrix consisting of a single row of m elements Throughout, boldface is used for the row and column vectors.
  • Scalar multiplication
    In mathematics, scalar multiplication is one of the basic operations defining a vector space in linear algebra (or more generally, a module in abstract algebra).
  • Change of basis
    In linear algebra, a basis for a vector space of dimension n is a set of n vectors (α1, …, αn), called basis vectors, with the property that every vector in the space can be expressed as a unique linear combination of the basis vectors.
  • Row and column spaces
    In linear algebra, the column space C(A) of a matrix A (sometimes called the range of a matrix) is the span (set of all possible linear combinations) of its column vectors.
  • Special linear group
    In mathematics, the special linear group of degree n over a field F is the set of n × n matrices with determinant 1, with the group operations of ordinary matrix multiplication and matrix inversion.
  • Polarization identity
    In mathematics, the polarization identity is any one of a family of formulas that express the inner product of two vectors in terms of the norm of a normed vector space.
  • Spinors in three dimensions
    In mathematics, the spinor concept as specialised to three dimensions can be treated by means of the traditional notions of dot product and cross product.
  • Generalized eigenvector
    In linear algebra, a generalized eigenvector of an n × n matrix is a vector which satisfies certain criteria which are more relaxed than those for an (ordinary) eigenvector.
  • Tensor operator
    In pure and applied mathematics, quantum mechanics and computer graphics, a tensor operator generalizes the notion of operators which are scalars and vectors.