Difference between revisions of "Linear algebra"
Karl Jones (Talk | contribs) (→Pure and applied mathematics) |
Karl Jones (Talk | contribs) (→See also) |
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== See also == | == See also == | ||
| + | * [[Eigenvectors]] | ||
| + | * [[Fundamental matrix in computer vision]] | ||
| + | * [[Gaussian elimination]] | ||
| + | * [[Linear equation]] | ||
| + | * [[Linear equation over a ring]] | ||
| + | * [[Linear regression]], a statistical estimation method | ||
| + | * [[List of linear algebra topics]] | ||
* [[Mathematics]] | * [[Mathematics]] | ||
* [[Matrix (mathematics)]] | * [[Matrix (mathematics)]] | ||
| + | * [[Numerical linear algebra]] | ||
| + | * [[Simplex method]], a solution technique for linear programs | ||
| + | * [[System of linear equations]] | ||
| + | * [[Transformation matrix]] | ||
== External links == | == External links == | ||
Revision as of 06:00, 28 May 2016
Linear algebra is the branch of mathematics concerning vector spaces and linear mappings between such spaces.
Description
It includes the study of lines, planes, and subspaces, but is also concerned with properties common to all vector spaces.
The set of points with coordinates that satisfy a linear equation forms a hyperplane in an n-dimensional space. The conditions under which a set of n hyperplanes intersect in a single point is an important focus of study in linear algebra. Such an investigation is initially motivated by a system of linear equations containing several unknowns.
Such equations are naturally represented using the formalism of matrices and vectors.
Pure and applied mathematics
Linear algebra is central to both pure mathematics and applied mathematics.
For instance, abstract algebra arises by relaxing the axioms of a vector space, leading to a number of generalizations.
Functional analysis studies the infinite-dimensional version of the theory of vector spaces.
Combined with calculus, linear algebra facilitates the solution of linear systems of differential equations.
Techniques from linear algebra are also used in analytic geometry, engineering, physics, natural sciences, computer science, computer animation, and the social sciences (particularly in economics).
Because linear algebra is such a well-developed theory, nonlinear mathematical models are sometimes approximated by linear models.
See also
- Eigenvectors
- Fundamental matrix in computer vision
- Gaussian elimination
- Linear equation
- Linear equation over a ring
- Linear regression, a statistical estimation method
- List of linear algebra topics
- Mathematics
- Matrix (mathematics)
- Numerical linear algebra
- Simplex method, a solution technique for linear programs
- System of linear equations
- Transformation matrix
External links
- Linear algebra @ Wikipedia
