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Glossary of tensor theory
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{{Short description|none}} This is a '''glossary of tensor theory'''. For expositions of [[tensor theory]] from different points of view, see: * [[Tensor]] * [[Tensor (intrinsic definition)]] * [[Application of tensor theory in engineering science]] For some history of the abstract theory see also [[multilinear algebra]]. ==Classical notation== ;[[Ricci calculus]] :The earliest foundation of tensor theory – tensor index notation.<ref>{{citation|title=Méthodes de calcul différentiel absolu et leurs applications|last1=Ricci|first1=Gregorio|author-link=Gregorio Ricci-Curbastro|last2=Levi-Civita|first2=Tullio|journal=Mathematische Annalen|publisher=Springer|volume=54|issue=1–2|date=March 1900|pages=125–201|doi=10.1007/BF01454201|s2cid=120009332|url=https://zenodo.org/record/1428270|language=fr|trans-title=Absolute differential calculation methods & their applications}}</ref> ;[[Tensor order|Order of a tensor]] :The components of a tensor with respect to a basis is an indexed array. The ''order'' of a tensor is the number of indices needed. Some texts may refer to the tensor order using the term ''degree'' or ''rank''. ;[[Tensor rank|Rank of a tensor]] :The rank of a tensor is the minimum number of rank-one tensor that must be summed to obtain the tensor. A rank-one tensor may be defined as expressible as the outer product of the number of nonzero vectors needed to obtain the correct order. ;[[Dyadic tensor]] :A ''dyadic'' tensor is a tensor of order two, and may be represented as a square [[matrix (mathematics)|matrix]]. In contrast, a ''dyad'' is specifically a dyadic tensor of rank one. ;[[Einstein notation]] :This notation is based on the understanding that whenever a multidimensional array contains a repeated index letter, the default interpretation is that the product is summed over all permitted values of the index. For example, if ''a<sub>ij</sub>'' is a matrix, then under this convention ''a<sub>ii</sub>'' is its [[trace (matrix)|trace]]. The Einstein convention is widely used in physics and engineering texts, to the extent that if summation is not to be applied, it is normal to note that explicitly. ;[[Kronecker delta]] ;[[Levi-Civita symbol]] ;[[Covariance and contravariance of vectors|Covariant]] tensor ;[[Covariance and contravariance of vectors|Contravariant]] tensor :The classical interpretation is by components. For example, in the differential form ''a<sub>i</sub>dx<sup>i</sup>'' the '''components''' ''a<sub>i</sub>'' are a covariant vector. That means all indices are lower; contravariant means all indices are upper. ;[[Mixed tensor]] :This refers to any tensor that has both lower and upper indices. ;Cartesian tensor :Cartesian tensors are widely used in various branches of [[continuum mechanics]], such as [[fluid mechanics]] and [[Elasticity (physics)|elasticity]]. In classical [[continuum mechanics]], the space of interest is usually 3-dimensional [[Euclidean space]], as is the tangent space at each point. If we restrict the local coordinates to be [[Cartesian coordinates]] with the same scale centered at the point of interest, the [[metric tensor]] is the [[Kronecker delta]]. This means that there is no need to distinguish covariant and contravariant components, and furthermore there is no need to distinguish tensors and [[Tensor density|tensor densities]]. All [[Cartesian tensor|Cartesian-tensor]] indices are written as subscripts. [[Cartesian tensor]]s achieve considerable computational simplification at the cost of generality and of some theoretical insight. ;[[Tensor contraction|Contraction of a tensor]] ;[[Raising and lowering indices]] ;[[Symmetric tensor]] ;[[Antisymmetric tensor]] ;[[Multiple cross products]] ==Algebraic notation== This avoids the initial use of components, and is distinguished by the explicit use of the tensor product symbol. ;Tensor product :If ''v'' and ''w'' are vectors in [[vector space]]s ''V'' and ''W'' respectively, then ::<math>v \otimes w </math> :is a tensor in ::<math>V \otimes W. </math> :That is, the ⊗ operation is a [[binary operation]], but it takes values into a fresh space (it is in a strong sense ''external''). The ⊗ operation is a [[bilinear map]]; but no other conditions are applied to it. ;Pure tensor :A pure tensor of ''V'' ⊗ ''W'' is one that is of the form ''v'' ⊗ ''w''. :It could be written dyadically ''a<sup>i</sup>b<sup>j</sup>'', or more accurately ''a<sup>i</sup>b<sup>j</sup>'' '''e'''<sub>''i''</sub> ⊗ '''f'''<sub>''j''</sub>, where the '''e'''<sub>''i''</sub> are a basis for ''V'' and the '''f'''<sub>''j''</sub> a basis for ''W''. Therefore, unless ''V'' and ''W'' have the same dimension, the array of components need not be square. Such ''pure'' tensors are not generic: if both ''V'' and ''W'' have dimension greater than 1, there will be tensors that are not pure, and there will be non-linear conditions for a tensor to satisfy, to be pure. For more see [[Segre embedding]]. ;Tensor algebra :In the tensor algebra ''T''(''V'') of a vector space ''V'', the operation <math> \otimes </math> becomes a normal (internal) [[binary operation]]. A consequence is that ''T''(''V'') has infinite dimension unless ''V'' has dimension 0. The [[free algebra]] on a set ''X'' is for practical purposes the same as the tensor algebra on the vector space with ''X'' as basis. ;Hodge star operator ;Exterior power :The [[wedge product]] is the anti-symmetric form of the ⊗ operation. The quotient space of ''T''(''V'') on which it becomes an internal operation is the ''[[exterior algebra]]'' of ''V''; it is a [[graded algebra]], with the graded piece of weight ''k'' being called the ''k''-th '''exterior power''' of ''V''. ;Symmetric power, symmetric algebra :This is the invariant way of constructing [[polynomial algebra]]s. ==Applications== ;[[Metric tensor]] ;[[Strain tensor]] ;[[Stress–energy tensor]] ==Tensor field theory== ;[[Jacobian matrix]] ;[[Tensor field]] ;[[Tensor density]] ;[[Lie derivative]] ;[[Tensor derivative]] ;[[Differential geometry]] ==Abstract algebra== ;[[Tensor product of fields]] :This is an operation on fields, that does not always produce a field. ;[[Tensor product of R-algebras]] ;[[Clifford module]] :A representation of a Clifford algebra which gives a realisation of a Clifford algebra as a matrix algebra. ;[[Tor functor]]s :These are the [[derived functor]]s of the tensor product, and feature strongly in [[homological algebra]]. The name comes from the [[torsion subgroup]] in [[abelian group]] theory. ;[[Symbolic method of invariant theory]] ;[[Derived category]] ;[[Grothendieck's six operations]] :These are ''highly'' abstract approaches used in some parts of geometry. ==Spinors== See: ;[[Spin group]] ;[[Spin-c group]] ;[[Spinor]] ;[[Pin group]] ;[[Pinor]]s ;[[Spinor field]] ;[[Killing spinor]] ;[[Spin manifold]] ==References== {{reflist}} ==Books== * {{citation|last1=Bishop|first1=R.L.|author1-link=Richard L. Bishop|last2=Goldberg|first2=S.I.|title=Tensor Analysis on Manifolds|publisher=The Macmillan Company|year=1968|edition=First Dover 1980|isbn=0-486-64039-6|url=https://archive.org/details/tensoranalysison00bish}} *{{cite book | last = Danielson | first = Donald A. | author-link1 = Donald A. Danielson | title = Vectors and Tensors in Engineering and Physics | edition = 2/e | year= 2003 | publisher = Westview (Perseus) | isbn = 978-0-8133-4080-7 }} *{{cite book | last = Dimitrienko | first = Yuriy | title = Tensor Analysis and Nonlinear Tensor Functions | year= 2002 | publisher = Kluwer Academic Publishers (Springer) | url = https://books.google.com/books?as_isbn=140201015X | isbn = 1-4020-1015-X }} *{{cite book | last = Lovelock | first = David |author2=Hanno Rund | title = Tensors, Differential Forms, and Variational Principles | year= 1989 | publisher = Dover | isbn = 978-0-486-65840-7 | orig-year = 1975 }} * {{cite book |first1=John L|last1=Synge|author-link1=John L. Synge|first2=Alfred|last2=Schild|author-link2=Alfred Schild| title=Tensor Calculus |publisher=[[Dover Publications]] 1978 edition |year=1949 |isbn=978-0-486-63612-2 |url=https://archive.org/details/tensorcalculus00syng }} {{tensors}} {{DEFAULTSORT:Glossary Of Tensor Theory}} [[Category:Glossaries of mathematics|Tensor theory]] [[Category:Tensors|*]] [[Category:Multilinear algebra| ]] [[Category:Wikipedia glossaries using description lists]]
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