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		<id>https://en.formulasearchengine.com/w/index.php?title=Swain_equation&amp;diff=11012</id>
		<title>Swain equation</title>
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		<updated>2013-12-08T23:20:59Z</updated>

		<summary type="html">&lt;p&gt;142.162.104.209: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;{{Redirect|p-vector||K-vector (disambiguation)}}&lt;br /&gt;
In [[multilinear algebra]], a &#039;&#039;&#039;multivector&#039;&#039;&#039; or &#039;&#039;&#039;Clifford number&#039;&#039;&#039;&amp;lt;ref&amp;gt;John Snygg (2012), &#039;&#039;A New Approach to Differential Geometry Using Clifford’s Geometric Algebra&#039;&#039;, Birkhäuser, p.5 §2.12&amp;lt;/ref&amp;gt; is an element of the (graded) [[exterior algebra]] on a [[vector space]], {{math|Λ&amp;lt;sup&amp;gt;*&amp;lt;/sup&amp;gt;&#039;&#039;V&#039;&#039;}}. This algebra consists of [[linear combination]]s of &#039;&#039;&#039;simple &#039;&#039;k&#039;&#039;-vectors&#039;&#039;&#039; (also known as &#039;&#039;&#039;decomposable&#039;&#039;&#039; &#039;&#039;k&#039;&#039;-vectors or [[Blade (geometry)|&#039;&#039;k&#039;&#039;-blades]])&lt;br /&gt;
:&amp;lt;math&amp;gt; v_1\wedge\cdots\wedge v_k.&amp;lt;/math&amp;gt;&lt;br /&gt;
&amp;quot;Multivector&amp;quot; may mean either &#039;&#039;homogeneous&#039;&#039; elements (all terms of the sum have the same grade or degree &#039;&#039;k&#039;&#039;), which are referred to as &#039;&#039;&#039;&#039;&#039;k&#039;&#039;-vectors&#039;&#039;&#039; or &#039;&#039;&#039;&#039;&#039;p&#039;&#039;-vectors&#039;&#039;&#039;,&amp;lt;ref&amp;gt;Élie Cartan, &#039;&#039;The theory of spinors&#039;&#039;, [http://books.google.com/books?id=AEZ1h7Cg3cwC&amp;amp;pg=PA16&amp;amp;dq=p-vector+multivectors p. 16], considers only homogeneous vectors, particularly simple ones, referring to them as &amp;quot;multivectors&amp;quot; (collectively) or &#039;&#039;p&#039;&#039;-vectors (specifically).&amp;lt;/ref&amp;gt; or may allow sums of terms in different degrees.&lt;br /&gt;
&lt;br /&gt;
The &#039;&#039;k&#039;&#039;-th exterior power, &lt;br /&gt;
:&amp;lt;math&amp;gt;\Lambda^k(V),&amp;lt;/math&amp;gt; &lt;br /&gt;
is the vector space of formal sums of &#039;&#039;k&#039;&#039;-multivectors. The product of a &#039;&#039;k&#039;&#039;-multivector and an &#039;&#039;ℓ&#039;&#039;-multivector is a {{math|(&#039;&#039;k&#039;&#039; + &#039;&#039;ℓ&#039;&#039;)}}-multivector. So, the direct sum &amp;lt;math&amp;gt;\bigoplus_k \Lambda^k(V)&amp;lt;/math&amp;gt; forms an associative algebra, which is closed with respect to the wedge product. This algebra, commonly denoted by {{math|Λ(&#039;&#039;V&#039;&#039;)}}, is called the [[exterior algebra]] of &#039;&#039;V&#039;&#039;.&lt;br /&gt;
&lt;br /&gt;
In [[differential geometry]], a &#039;&#039;&#039;&#039;&#039;p&#039;&#039;-vector&#039;&#039;&#039; is the antisymmetric [[tensor]] obtained by taking [[linear combination]]s of the [[wedge product]] of &#039;&#039;p&#039;&#039; [[tangent vector]]s, for some integer &#039;&#039;p&#039;&#039; ≥ 0. It is the [[Dual space|dual]] concept to a [[p-form|&#039;&#039;p&#039;&#039;-form]].&lt;br /&gt;
&lt;br /&gt;
For &#039;&#039;p&#039;&#039; = 0, 1, 2 and 3, these are often called respectively &#039;&#039;&#039;&#039;&#039;[[Scalar (mathematics)|scalar]]s&#039;&#039;&#039;&#039;&#039;, &#039;&#039;&#039;&#039;&#039;vectors&#039;&#039;&#039;&#039;&#039;, &#039;&#039;&#039;&#039;&#039;[[bivector]]s&#039;&#039;&#039;&#039;&#039; and &#039;&#039;&#039;&#039;&#039;trivectors&#039;&#039;&#039;&#039;&#039;; they are respectively dual to [[0-form]]s, [[1-form]]s, [[2-form]]s and 3-forms.&amp;lt;ref name=&amp;quot;Ławrynowicz&amp;quot;&amp;gt;&lt;br /&gt;
&lt;br /&gt;
{{cite book |title=Deformations of mathematical structures II  |url=http://books.google.com/books?id=KfNgBHNUW_cC&amp;amp;pg=PA131 |page=131 &#039;&#039;ff&#039;&#039; |isbn=0-7923-2576-1 |author=William M Pezzaglia Jr.|editor=Julian Ławrynowicz |year=1992 |publisher =Springer |chapter=Clifford algebra derivation of the characteristic hypersurfaces of Maxwell&#039;s equations |quote=Hence in 3D we associate the alternate terms of &#039;&#039;pseudovector&#039;&#039; for [[bivector]], and &#039;&#039;pseudoscalar&#039;&#039; for the [[p-vector|trivector]]}}&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/ref&amp;gt;&amp;lt;ref name=Baylis&amp;gt;&lt;br /&gt;
&lt;br /&gt;
{{cite book |author=Baylis |title=Theoretical methods in the physical sciences: an introduction to problem solving using Maple V |url=http://books.google.com/books?id=pEfMq1sxWVEC&amp;amp;pg=PA234 |page=234, see footnote |isbn=0-8176-3715-X |year=1994 |publisher=Birkhäuser}}&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==Examples==&lt;br /&gt;
[[File:N-vector.svg|thumb|125px|Geometric interpretation for the &#039;&#039;&#039;exterior product&#039;&#039;&#039; of &#039;&#039;n&#039;&#039; [[vector (geometry)|vector]]s (&#039;&#039;&#039;u&#039;&#039;&#039;, &#039;&#039;&#039;v&#039;&#039;&#039;, &#039;&#039;&#039;w&#039;&#039;&#039;) to obtain an &#039;&#039;n&#039;&#039;-vector ([[parallelotope]] elements), where &#039;&#039;n&#039;&#039; = [[graded algebra|grade]],&amp;lt;ref&amp;gt;{{cite book |author=R. Penrose| title=[[The Road to Reality]]| publisher= Vintage books| year=2007 | isbn=0-679-77631-1}}&amp;lt;/ref&amp;gt; for &#039;&#039;n&#039;&#039; = 1, 2, 3. The &amp;quot;circulations&amp;quot; show [[Orientation (vector space)|orientation]].&amp;lt;ref&amp;gt;{{cite book|title=Gravitation|author=J.A. Wheeler, C. Misner, K.S. Thorne|publisher=W.H. Freeman &amp;amp; Co|year=1973|page=83|isbn=0-7167-0344-0}}&amp;lt;/ref&amp;gt;]]&lt;br /&gt;
&lt;br /&gt;
* 0-vectors are scalars;&lt;br /&gt;
* 1-vectors are vectors;&lt;br /&gt;
* 2-vectors are [[bivector]]s;&lt;br /&gt;
* (&#039;&#039;n&#039;&#039; − 1)-vectors are [[pseudovector]]s;&lt;br /&gt;
* &#039;&#039;n&#039;&#039;-vectors are [[pseudoscalar]]s.&lt;br /&gt;
In the presence of a [[volume form]] (such as given an [[inner product]] and an orientation), pseudovectors and pseudoscalars can be identified with vectors and scalars, which is routine in [[vector calculus]], but without a volume form this cannot be done without a choice.&lt;br /&gt;
&lt;br /&gt;
In the [[Algebra of physical space]] (the geometric algebra of Euclidean 3-space, used as a model of 3+1 spacetime), a sum of a scalar and a vector is called a [[paravector]], and represents a point in spacetime (the vector the space, the scalar the time).&lt;br /&gt;
&lt;br /&gt;
===Bivectors===&lt;br /&gt;
{{main|Bivector}}&lt;br /&gt;
A &#039;&#039;&#039;bivector&#039;&#039;&#039; is therefore an element of the [[antisymmetric tensor|antisymmetric]] [[tensor product]] of a [[tangent space]] with itself.&lt;br /&gt;
&lt;br /&gt;
In [[geometric algebra]], also, a &#039;&#039;&#039;bivector&#039;&#039;&#039; is a grade 2 element (a 2-vector) resulting from the [[wedge product]] of two vectors, and so it is geometrically an &#039;&#039;oriented area&#039;&#039;, in the same way a &#039;&#039;vector&#039;&#039; is an oriented line segment. &lt;br /&gt;
If &#039;&#039;&#039;a&#039;&#039;&#039; and &#039;&#039;&#039;b&#039;&#039;&#039; are two vectors, the bivector &#039;&#039;&#039;a&#039;&#039;&#039;&amp;amp;nbsp;&amp;amp;and;&amp;amp;nbsp;&#039;&#039;&#039;b&#039;&#039;&#039; has&lt;br /&gt;
* a [[norm (mathematics)|norm]] which is its area, given by&lt;br /&gt;
::&amp;lt;math&amp;gt;\Vert \mathbf a \wedge \mathbf b \Vert = \Vert \mathbf{a} \Vert \,&lt;br /&gt;
\Vert \mathbf{b} \Vert \, \sin(\phi_{a,b})&amp;lt;/math&amp;gt;&lt;br /&gt;
* a direction: the plane where that area lies on, i.e., the plane determined by &#039;&#039;&#039;a&#039;&#039;&#039; and &#039;&#039;&#039;b&#039;&#039;&#039;, as long as they are linearly independent;&lt;br /&gt;
* an orientation (out of two), determined by the order in which the originating vectors are multiplied. &lt;br /&gt;
Bivectors are connected to [[pseudovector]]s, and are used to represent rotations in geometric algebra.&lt;br /&gt;
&lt;br /&gt;
As bivectors are elements of a vector space &amp;amp;Lambda;&amp;lt;sup&amp;gt;2&amp;lt;/sup&amp;gt;&#039;&#039;V&#039;&#039; (where &#039;&#039;V&#039;&#039; is a finite-dimensional vector space with &amp;lt;math&amp;gt;\dim V =n&amp;lt;/math&amp;gt;), it makes sense to define an [[inner product]] on this vector space as follows. First, write any element &#039;&#039;F&#039;&#039;&amp;amp;nbsp;&amp;amp;isin;&amp;amp;nbsp;&amp;amp;Lambda;&amp;lt;sup&amp;gt;2&amp;lt;/sup&amp;gt;&#039;&#039;V&#039;&#039; in terms of a basis {{nowrap|1=(&#039;&#039;&#039;e&#039;&#039;&#039;&amp;lt;sub&amp;gt;&#039;&#039;i&#039;&#039;&amp;lt;/sub&amp;gt; &amp;amp;and; &#039;&#039;&#039;e&#039;&#039;&#039;&amp;lt;sub&amp;gt;&#039;&#039;j&#039;&#039;&amp;lt;/sub&amp;gt;)&amp;lt;sub&amp;gt;1 &amp;amp;le; &#039;&#039;i&#039;&#039; &amp;lt; &#039;&#039;j&#039;&#039; &amp;amp;le; &#039;&#039;n&#039;&#039;&amp;lt;/sub&amp;gt; of &amp;amp;Lambda;&amp;lt;sup&amp;gt;2&amp;lt;/sup&amp;gt;&#039;&#039;V&#039;&#039;}} as&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt;F = F^{ab} e_a \wedge e_b \quad (1 \le a &amp;lt; b  \le n) &amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
where the [[Einstein summation convention]] is being used.&lt;br /&gt;
&lt;br /&gt;
Now define a map {{nowrap|G :  &amp;amp;Lambda;&amp;lt;sup&amp;gt;2&amp;lt;/sup&amp;gt;&#039;&#039;V&#039;&#039; &amp;amp;times; &amp;amp;Lambda;&amp;lt;sup&amp;gt;2&amp;lt;/sup&amp;gt;&#039;&#039;V&#039;&#039; &amp;amp;rarr; &#039;&#039;&#039;R&#039;&#039;&#039;}} by insisting that &lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt;G(F, H) := \, G_{abcd}F^{ab}H^{cd}&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
where &amp;lt;math&amp;gt;G_{abcd}&amp;lt;/math&amp;gt; are a set of numbers.&lt;br /&gt;
&lt;br /&gt;
==Geometric algebra==&lt;br /&gt;
{{See also|Blade (geometry)}}&lt;br /&gt;
In [[geometric algebra]], a multivector is defined to be the sum of different-grade [[blade (geometry)|&#039;&#039;k&#039;&#039;-blades]], such as the summation of a [[scalar (mathematics)|scalar]], a [[Vector (geometric)|vector]], and a &#039;&#039;2&#039;&#039;-vector.&amp;lt;ref name= Rodrigues&amp;gt;&lt;br /&gt;
&lt;br /&gt;
{{cite book |title=Invariants for pattern recognition and classification |author=Marcos A. Rodrigues |chapter=§1.2 Geometric algebra: an outline |url=http://books.google.com/books?id=QbFSt0SlDjIC&amp;amp;pg=PA3 |page=3 &#039;&#039;ff&#039;&#039; |isbn=981-02-4278-6 |year=2000 |publisher=World Scientific}}&lt;br /&gt;
&amp;lt;/ref&amp;gt; A sum of only &#039;&#039;k&#039;&#039;-grade components is called a &#039;&#039;k&#039;&#039;-vector,&amp;lt;ref name=Sommer&amp;gt;&lt;br /&gt;
&lt;br /&gt;
{{cite book |title=Computer algebra and geometric algebra with applications |editor=Hongbo Li, Peter J. Olver, Gerald Sommer |url=http://books.google.com/books?id=uxofVAQE3LoC&amp;amp;pg=PA330 |chapter=Applications of conformal geometric algebra in computer vision and graphics |page=330 |author=R Wareham, J Cameron &amp;amp; J Lasenby |isbn=3-540-26296-2 |year=2005 |publisher=Springer}}&lt;br /&gt;
&amp;lt;/ref&amp;gt; or a &#039;&#039;homogeneous&#039;&#039; multivector.&amp;lt;ref name=Sanfeliu&amp;gt;&lt;br /&gt;
&lt;br /&gt;
{{cite book |title=Progress in pattern recognition, image analysis and applications |url=http://books.google.com/books?id=gsnXS1xdeekC&amp;amp;pg=PA25 |page=25 |editor=Alberto Sanfeliu, José Francisco Martínez Trinidad, Jesús Ariel Carrasco Ochoa |author=Eduardo Bayro-Corrochano |chapter = Clifford geometric algebra: A promising framework for computer vision, robotics and learning |isbn=3-540-23527-2 |publisher=Springer |year=2004}}&lt;br /&gt;
&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
The highest grade element in a space is called a &#039;&#039;[[pseudoscalar]]&#039;&#039;.&lt;br /&gt;
&lt;br /&gt;
If a given element is homogeneous of a grade &#039;&#039;k&#039;&#039;, then it is a &#039;&#039;k&#039;&#039;-vector, but not necessarily a &#039;&#039;k&#039;&#039;-blade.  Such an element is a &#039;&#039;k&#039;&#039;-blade when it can be expressed as the wedge product of &#039;&#039;k&#039;&#039; vectors.  A geometric algebra generated by a 4-dimensional Euclidean vector space illustrates the point with an example: The sum of any two blades with one taken from the XY-plane and the other taken from the ZW-plane will form a 2-vector that is not a 2-blade.  In a geometric algebra generated by a Euclidean vector space of dimension 2 or 3, all sums of 2-blades may be written as a single 2-blade.&lt;br /&gt;
&lt;br /&gt;
== Applications ==&lt;br /&gt;
&lt;br /&gt;
Bivectors play many important roles in physics, for example, in the [[classification of electromagnetic fields]].&lt;br /&gt;
&lt;br /&gt;
==See also==&lt;br /&gt;
* [[Blade (geometry)]]&lt;br /&gt;
* [[Paravector]]&lt;br /&gt;
&lt;br /&gt;
==Notes==&lt;br /&gt;
{{reflist}}&lt;br /&gt;
&lt;br /&gt;
{{tensors}}&lt;br /&gt;
&lt;br /&gt;
[[Category:Multilinear algebra]]&lt;br /&gt;
[[Category:Tensors]]&lt;br /&gt;
[[Category:Differential geometry]]&lt;br /&gt;
[[Category:Geometric algebra]]&lt;/div&gt;</summary>
		<author><name>142.162.104.209</name></author>
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