Linear algebra. Linear space, Normed linear space, Linear mapping,
linear transformation, Linear operator, Matrix representation of a linear
transformation, Inner product, Inner product space, Linear functional
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Website owner: James Miller
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Linear algebra
Select from the following:
Linear space (abstract vector space)
Linear spaces --- examples
Properties that follow from the axiomatic definitions of different
spaces
Linear algebra
The concepts of linear algebra represent the end result of a
series of generalizations and abstractions
Abstract vector spaces
Motivation for extending the concept of a vector to include objects
of an arbitrary nature. Generalization of the concept of a vector space
Vector space, subspace, basis, dimension, linear independence
Normed linear spaces
Space of polynomials
Elementary bases for various linear spaces
Coordinates of a vector in an abstract vector space. Coordinate vector.
Functions, mappings, maps, transformations, operators
Linear mapping (or linear transformation)
Linear transformations, examples
Linear transformations, linear mappings, linear operators are
linear vector functions assigning objects to objects
Matrix representation of a linear transformation
Linear transformation, linear mapping. Operations, sum, product.
Algebra of linear operators. Invertible operators.
Hom(v,w). Vector space of all mxn matrices
Concept of an operator
Eigenvectors and eigenvalues
Linear mappings. Hom(V, W). Image, kernel, rank, nullity. Singular
and nonsingular mappings.
Synonyms
Linear operators
Isomorphisms and homomorphisms effected by linear transformations from
one abstract vector space into another
In linear transformations between abstract n-dimensional vector
spaces the operators are always matrices
Vector space Hom(V,W)
Inner product and inner product space
Examples of inner products defined on various abstract spaces
Orthogonality
Projection of a vector on a subspace
Sums and direct sums of vector subspaces
Algebra over a field
Linear functional. Matrix representation. Dual space, conjugate
space, adjoint space. Basis for dual space. Annihilator. Transpose of a linear mapping.
Importance of concrete models in understanding many
abstract concepts in mathematics
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