Detailed balance: Difference between revisions

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{{Unreferenced|date=November 2009}}
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A '''two-vector''' is a [[tensor]] of type (2,0) and it is the [[dual space|dual]] of a [[two-form]], meaning that it is a linear functional which maps two-forms to the real numbers (or more generally, to scalars).
 
The [[tensor product]] of a pair of [[Vector (geometric)|vector]]s is a two-vector. Then, any two-form can be expressed as a linear combination of tensor products of pairs of vectors, especially a linear combination of tensor products of pairs of basis vectors.  If '''f''' is a two-vector, then
:<math> \mathbf{f} = f^{\alpha \beta} \, \vec e_\alpha \otimes \vec e_\beta </math>
where the ''f <sup>α β</sup>'' are the components of the two-vector.  Notice that both indices of the components are [[covariance and contravariance|contravariant]].  This is always the case for two-vectors, by definition.
 
An example of a two-vector is the inverse ''g<sup>μ ν</sup>'' of the [[metric tensor]].
 
The components of  a two-vector may be represented in a matrix-like array.  However, a two-vector, as a tensor, should not be confused with a [[Matrix (mathematics)|matrix]], since a matrix is a linear function
:<math> M : V \rightarrow V </math>
which [[Map (mathematics)|maps]] vectors to vectors, whereas a two-vector is a linear functional
:<math> \mathbf{f} : \tilde{V} \rightarrow V </math>
which maps [[one-form]]s to vectors. In this sense, a matrix, considered as a tensor, is a [[mixed tensor]] of type (1,1) even though of the same rank as a two-vector.
 
{{DEFAULTSORT:Two-Vector}}
[[Category:Tensors]]

Latest revision as of 14:56, 9 January 2015

49 year-old Music Specialists Lal from Winona, has many interests which include koi, new launch property singapore and trekkie. Was lately making a trip to Architectural Ensemble of the Trinity Sergius Lavra in Sergiev Posad.

Here is my web-site; singapore new launch property