Difference between revisions of "Linear Algebra (subject)"
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After that comes [[bilinear map|bilinear maps]] (a special case of [[multilinear map|multilinear maps]]) and onwards via the [[tensor product]]. This has links to [[Analysis (subject)|analysis]] via [[Differentiation (subject)|differentiation]] as a vector space equipped with a [[norm]] are the minimum requirements to be able to [[differentiate]] | After that comes [[bilinear map|bilinear maps]] (a special case of [[multilinear map|multilinear maps]]) and onwards via the [[tensor product]]. This has links to [[Analysis (subject)|analysis]] via [[Differentiation (subject)|differentiation]] as a vector space equipped with a [[norm]] are the minimum requirements to be able to [[differentiate]] | ||
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| + | ==Statistics== | ||
| + | The linear algebra project contains: | ||
| + | * {{Category statistic|Linear Algebra Definitions|Definitions}} | ||
| + | * {{Category statistic|Linear Algebra Theorems, lemmas and corollaries|Theorems, lemmas and corollaries}} | ||
| + | * {{Category statistic|Linear Algebra|(all pages)}} | ||
{{Linear algebra navbox|plain}} | {{Linear algebra navbox|plain}} | ||
| − | [[Category:Subjects]] | + | [[Category:Subjects]][[Category:Abstract Algebra]][[Category:Linear Algebra]] |
Latest revision as of 15:09, 26 February 2016
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Contents
Overview
Linear algebra is a branch of abstract algebra where we study the structure on, or structure resulting from vector spaces connected (via the arrows or homomorphism of) linear maps, these are simply maps that preserve the structure of vector spaces.
After that comes bilinear maps (a special case of multilinear maps) and onwards via the tensor product. This has links to analysis via differentiation as a vector space equipped with a norm are the minimum requirements to be able to differentiate
Statistics
The linear algebra project contains:
- Definitions - 68 pages
- Theorems, lemmas and corollaries - 19 pages
- (all pages) - 90 pages
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