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Tensor Products

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Algebra II
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Abstract

Let K be a commutative ring, and let V 1, V 2, , V n and W be K-modules. A map

$$\displaystyle{ \varphi: V _{1} \times V _{2} \times \,\cdots \, \times V _{n} \rightarrow W }$$
(1.1)

is called multilinear or n - linear if φ is linear in each argument while all the other arguments are fixed, i.e.,

$$\displaystyle{ \varphi (\,\ldots,\,\lambda v' +\mu v'',\,\ldots \,) =\lambda \,\varphi (\,\ldots,\,v',\,\ldots \,) +\mu \,\varphi (\,\ldots,\,v'',\,\ldots \,) }$$

for all λ, μ ∈ K, v′, v″ ∈ V i, \(1\leqslant i\leqslant n\). For example, the 1-linear maps V → V are the ordinary linear endomorphisms of V, and the 2-linear maps V × V → K are the bilinear forms on V. The multilinear maps (1.1) form a K- module with the usual addition and multiplication by constants defined for maps taking values in a K-module. We denote the K- module of multilinear maps (1.1) by \(\mathop{\mathrm{Hom}}\nolimits (V _{1},V _{2},\ldots,V _{n};W)\), or by \(\mathop{\mathrm{Hom}}\nolimits _{K}(V _{1},V _{2},\ldots,V _{n};W)\) when explicit reference to the ground ring is required.

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Notes

  1. 1.

    The formula (1.5) shows that an n- linear map is described in coordinates by means of nth-degree polynomials.

  2. 2.

    Note that all the tensors proportional to a given decomposable tensor are decomposable, because λ ⋅ v 1v 2 ⊗ ⋯ ⊗ v n = (λ v 1) ⊗ v 2 ⊗ ⋯ ⊗ v n.

  3. 3.

    That is, are linear in each v i while all the other v j are fixed.

  4. 4.

    See Sect. 14.1.2 of Algebra I.

  5. 5.

    Where the group operation is the composition of automorphisms.

  6. 6.

    Recall that a correlation on a vector space W is a linear map \(\widehat{\beta }: W \rightarrow W^{{\ast}}\). The correlations are in bijection with the bilinear forms \(\beta: W \times W \rightarrow \mathbb{k}\), \(\beta (u,w) ={\bigl \langle u,\widehat{\beta }w\bigr \rangle}\) (see Sect. 16.1 of Algebra I).

  7. 7.

    That is, independent of any extra data on U and W, such as the choice of bases.

References

  1. Danilov, V.I., Koshevoy, G.A.: Arrays and the Combinatorics of Young Tableaux, Russian Math. Surveys 60:2 (2005), 269–334.

    Article  MathSciNet  Google Scholar 

  2. Fulton, W.: Young Tableaux with Applications to Representation Theory and Geometry. Cambridge University Press, 1997.

    MATH  Google Scholar 

  3. Fulton, W., Harris, J.: Representation Theory: A First Course, Graduate Texts in Mathematics. Cambridge University Press, 1997.

    MATH  Google Scholar 

  4. Morris, S. A.: Pontryagin Duality and the Structure of Locally Compact Abelian Groups, London Math. Society LNS 29. Cambridge University Press, 1977.

    Google Scholar 

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Gorodentsev, A.L. (2017). Tensor Products. In: Algebra II. Springer, Cham. https://doi.org/10.1007/978-3-319-50853-5_1

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