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This is a glossary of linear algebra.
A
- affine transformation
- A linear transformation between vector spaces followed by a translation.
B
- basis
- In a vector space, a linearly independent set of vectors spanning the whole vector space.
D
- determinant
- The unique scalar function over square matrices which is distributive over matrix multiplication, multilinear in the rows and columns, and takes the value of
for the unit matrix.
- diagonal matrix
- A matrix in which only the entries on the main diagonal are non-zero.
- dimension
- The number of elements of any basis of a vector space.
I
- identity matrix
- A diagonal matrix all of the diagonal elements of which are equal to
.
- inverse matrix
- Of a matrix
, another matrix
such that
multiplied by
and
multiplied by
both equal the identity matrix.
L
- linear algebra
- The branch of mathematics that deals with vectors, vector spaces, linear transformations and systems of linear equations.
- linear combination
- A sum, each of whose summands is an appropriate vector times an appropriate scalar (or ring element).
- linear equation
- A polynomial equation of the first degree (such as
).
- linear transformation
- A map between vector spaces which respects addition and multiplication.
- linearly independent
- (Of a set of vectors or ring elements) whose nontrivial linear combinations are nonzero.
M
- matrix
- A rectangular arrangement of numbers or terms having various uses such as transforming coordinates in geometry, solving systems of linear equations in linear algebra and representing graphs in graph theory.
S
- spectrum
- Of a bounded linear operator
, the scalar values
such that the operator
, where
denotes the identity operator, does not have a bounded inverse.
- square matrix
- A matrix having the same number of rows as columns.
V
- vector
- A directed quantity, one with both magnitude and direction; an element of a vector space.
- vector space
- A set
, whose elements are called "vectors", together with a binary operation
forming a module
, and a set
of bilinear unary functions
, each of which corresponds to a "scalar" element
of a field
, such that the composition of elements of
corresponds isomorphically to multiplication of elements of
, and such that for any vector
.