Difference between revisions of "Bilinear map"

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A bilinear map combines elements from 2 [[Vector space|vector spaces]] to yield and element in a third (in contrast to a [[Linear map|linear map]] which takes a point in a vector space to a point in a different vector space)
 
A bilinear map combines elements from 2 [[Vector space|vector spaces]] to yield and element in a third (in contrast to a [[Linear map|linear map]] which takes a point in a vector space to a point in a different vector space)
  
It is sometimes called a "Bilinear form"
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A ''[[Bilinear form|bilinear form]]'' is a special case of a bilinear map, and an ''[[Inner product|inner product]]'' is a special case of a bilinear form.
  
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__TOC__
 
==Definition==
 
==Definition==
Given the [[Vector space|vector spaces]] {{M|(U,F),(V,F)}} and {{M|(W,F)}} - it is important they are over the same field - a bilinear map is a [[Function|function]]:
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Given the [[Vector space|vector spaces]] {{M|(U,F),(V,F)}} and {{M|(W,F)}} - it is important they are over the same field - a ''bilinear map''<ref name="Roman">Advanced Linear Algebra - Steven Roman - Third Edition - Springer Graduate texts in Mathematics</ref> is a [[Function|function]]:
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*<math>\tau:(U,F)\times(V,F)\rightarrow(W,F)</math> or
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*<math>\tau:U\times V\rightarrow W</math> (in keeping with [[Mathematicians are lazy|mathematicians are lazy]])
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Such that it is [[Linear map|linear]] in both variables. Which is to say that the following "Axioms of a bilinear map" hold:
  
<math>\tau:(U,F)\times(V,F)\rightarrow(W,F)</math><br />
 
or<br />
 
<math>\tau:U\times V\rightarrow W</math> (in keeping with [[Mathematicians are lazy|mathematicians are lazy]])
 
 
Such that it is linear in both parts. Which is to say that the following "Axioms of a bilinear map" hold:
 
===Axioms of a bilinear map===
 
 
For a [[Function|function]] <math>\tau:U\times V\rightarrow W</math> and <math>u,v\in U</math>, <math>a,b\in V</math> and <math>\lambda,\mu\in F</math> we have:
 
For a [[Function|function]] <math>\tau:U\times V\rightarrow W</math> and <math>u,v\in U</math>, <math>a,b\in V</math> and <math>\lambda,\mu\in F</math> we have:
 
# <math>\tau(\lambda u+\mu v,a)=\lambda \tau(u,a)+\mu \tau(v,a)</math>
 
# <math>\tau(\lambda u+\mu v,a)=\lambda \tau(u,a)+\mu \tau(v,a)</math>
 
# <math>\tau(u,\lambda a+\mu b)=\lambda \tau(u,a)+\mu \tau(u,b)</math>
 
# <math>\tau(u,\lambda a+\mu b)=\lambda \tau(u,a)+\mu \tau(u,b)</math>
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 +
==Relation to bilinear forms and inner products==
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A ''[[Bilinear form|bilinear form]]'' is a special case of a bilinear map where rather than mapping to a vector space {{M|W}} it maps to the field that the vector spaces {{M|U}} and {{M|V}} are over (which in this case was {{M|F}})<ref name="Roman"/>. An ''[[Inner product|inner product]]'' is a special case of that. See the pages:
 +
* [[Bilinear form]]
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* [[Inner product]]
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For more information
  
 
==Common notations==
 
==Common notations==
If an author uses <math>T</math> for [[Linear map|linear maps]] they will probably use <math>\tau</math> for bilinear maps.  
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* If an author uses <math>T</math> for [[Linear map|linear maps]] they will probably use <math>\tau</math> for bilinear maps.
 +
* If an author uses <math>L</math> for [[Linear map|linear maps]] they will probably use <math>B</math> for bilinear maps.
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As always I recommend writing:
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{| class="wikitable" border="1"
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|-
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| Let {{M|\tau:U\times V\rightarrow W}} be a bilinear map
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|}
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Or something explicit.
  
If an author uses <math>L</math> for [[Linear map|linear maps]] they will probably use <math>B</math> for bilinear maps.
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==Examples of bilinear maps==
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* The [[Tensor product]]
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* The [[Dot product]] - although this is an example of an ''[[Inner product|inner product]]''
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==See next==
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* [[Bilinear form]]
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==See also==
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* [[Bilinear form]]
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* [[Inner product]]
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* [[Linear map]]
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* [[Tensor product]]
  
 +
==References==
 +
<references/>
  
 
{{Definition|Linear Algebra}}
 
{{Definition|Linear Algebra}}
{{Todo|Find the book I got this from!}}
 

Revision as of 08:34, 9 June 2015

A bilinear map combines elements from 2 vector spaces to yield and element in a third (in contrast to a linear map which takes a point in a vector space to a point in a different vector space)

A bilinear form is a special case of a bilinear map, and an inner product is a special case of a bilinear form.

Definition

Given the vector spaces [ilmath](U,F),(V,F)[/ilmath] and [ilmath](W,F)[/ilmath] - it is important they are over the same field - a bilinear map[1] is a function:

  • [math]\tau:(U,F)\times(V,F)\rightarrow(W,F)[/math] or
  • [math]\tau:U\times V\rightarrow W[/math] (in keeping with mathematicians are lazy)

Such that it is linear in both variables. Which is to say that the following "Axioms of a bilinear map" hold:

For a function [math]\tau:U\times V\rightarrow W[/math] and [math]u,v\in U[/math], [math]a,b\in V[/math] and [math]\lambda,\mu\in F[/math] we have:

  1. [math]\tau(\lambda u+\mu v,a)=\lambda \tau(u,a)+\mu \tau(v,a)[/math]
  2. [math]\tau(u,\lambda a+\mu b)=\lambda \tau(u,a)+\mu \tau(u,b)[/math]

Relation to bilinear forms and inner products

A bilinear form is a special case of a bilinear map where rather than mapping to a vector space [ilmath]W[/ilmath] it maps to the field that the vector spaces [ilmath]U[/ilmath] and [ilmath]V[/ilmath] are over (which in this case was [ilmath]F[/ilmath])[1]. An inner product is a special case of that. See the pages:

For more information

Common notations

  • If an author uses [math]T[/math] for linear maps they will probably use [math]\tau[/math] for bilinear maps.
  • If an author uses [math]L[/math] for linear maps they will probably use [math]B[/math] for bilinear maps.

As always I recommend writing:

Let [ilmath]\tau:U\times V\rightarrow W[/ilmath] be a bilinear map

Or something explicit.

Examples of bilinear maps

See next

See also

References

  1. 1.0 1.1 Advanced Linear Algebra - Steven Roman - Third Edition - Springer Graduate texts in Mathematics