Open main menu
Home
Random
Recent changes
Special pages
Community portal
Preferences
About Wikipedia
Disclaimers
Incubator escapee wiki
Search
User menu
Talk
Dark mode
Contributions
Create account
Log in
Editing
Vector space
(section)
Warning:
You are not logged in. Your IP address will be publicly visible if you make any edits. If you
log in
or
create an account
, your edits will be attributed to your username, along with other benefits.
Anti-spam check. Do
not
fill this in!
===Tensor product=== {{Main|Tensor product of vector spaces}} The ''tensor product'' <math>V \otimes_F W,</math> or simply <math>V \otimes W,</math> of two vector spaces <math>V</math> and <math>W</math> is one of the central notions of [[multilinear algebra]] which deals with extending notions such as linear maps to several variables. A map <math>g : V \times W \to X</math> from the [[Cartesian product]] <math>V \times W</math> is called [[bilinear map|bilinear]] if <math>g</math> is linear in both variables <math>\mathbf{v}</math> and <math>\mathbf{w}.</math> That is to say, for fixed <math>\mathbf{w}</math> the map <math>\mathbf{v} \mapsto g(\mathbf{v}, \mathbf{w})</math> is linear in the sense above and likewise for fixed <math>\mathbf{v}.</math> [[Image:Universal tensor prod.svg|class=skin-invert-image|right|thumb|200px|[[Commutative diagram]] depicting the universal property of the tensor product]] The tensor product is a particular vector space that is a ''universal'' recipient of bilinear maps <math>g,</math> as follows. It is defined as the vector space consisting of finite (formal) sums of symbols called [[tensor]]s <math display=block>\mathbf{v}_1 \otimes \mathbf{w}_1 + \mathbf{v}_2 \otimes \mathbf{w}_2 + \cdots + \mathbf{v}_n \otimes \mathbf{w}_n,</math> subject to the rules{{sfn|Lang|2002|loc = ch. XVI.1}} <math display=block>\begin{alignat}{6} a \cdot (\mathbf{v} \otimes \mathbf{w}) ~&=~ (a \cdot \mathbf{v}) \otimes \mathbf{w} ~=~ \mathbf{v} \otimes (a \cdot \mathbf{w}), && ~~\text{ where } a \text{ is a scalar} \\ (\mathbf{v}_1 + \mathbf{v}_2) \otimes \mathbf{w} ~&=~ \mathbf{v}_1 \otimes \mathbf{w} + \mathbf{v}_2 \otimes \mathbf{w} && \\ \mathbf{v} \otimes (\mathbf{w}_1 + \mathbf{w}_2) ~&=~ \mathbf{v} \otimes \mathbf{w}_1 + \mathbf{v} \otimes \mathbf{w}_2. && \\ \end{alignat}</math> These rules ensure that the map <math>f</math> from the <math>V \times W</math> to <math>V \otimes W</math> that maps a [[tuple]] <math>(\mathbf{v}, \mathbf{w})</math> to <math>\mathbf{v} \otimes \mathbf{w}</math> is bilinear. The universality states that given ''any'' vector space <math>X</math> and ''any'' bilinear map <math>g : V \times W \to X,</math> there exists a unique map <math>u,</math> shown in the diagram with a dotted arrow, whose [[function composition|composition]] with <math>f</math> equals <math>g:</math> <math>u(\mathbf{v} \otimes \mathbf{w}) = g(\mathbf{v}, \mathbf{w}).</math><ref>{{harvtxt|Roman|2005}}, Th. 14.3. See also [[Yoneda lemma]].</ref> This is called the [[universal property]] of the tensor product, an instance of the method—much used in advanced abstract algebra—to indirectly define objects by specifying maps from or to this object.
Edit summary
(Briefly describe your changes)
By publishing changes, you agree to the
Terms of Use
, and you irrevocably agree to release your contribution under the
CC BY-SA 4.0 License
and the
GFDL
. You agree that a hyperlink or URL is sufficient attribution under the Creative Commons license.
Cancel
Editing help
(opens in new window)