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Linear algebra

This article has multiple issues. Please help improve it or discuss these issues on the talk page. This article may be confusing or unclear to readers. Please help us clarify the article; suggestions may be found on the talk page. (May 2013) This article needs additional citations for verification. Please help improve this article by adding citations to reliable sources. Unsourced material may be challenged and removed. (May 2011) The three-dimensional Euclidean space R3 is a vector space, and lines and planes passing through the origin are vector subspaces in R3. Linear algebra is the branch of mathematics concerning vector spaces, often finite or countably infinite dimensional, as well as linear mappings between such spaces. 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.Linear algebra is central to both pure 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 ones. Cite error: There are tags on this page, but the references will not show without a {{reflist}} template (see the help page).
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