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Symmetric Tensor Rank


The symmetric tensor rank of a symmetric tensor T of order d over F=R or C is the least r for which

 T=sum_(i=1)^rlambda_iv_i^( tensor d),

where lambda_i in F and the vectors v_i belong to its underlying vector space. The notation v^( tensor d) means the d-fold tensor direct product of v with itself. Here R and C are the real and complex numbers, respectively (Comon et al. 2008).

Symmetric tensor rank is at least tensor decomposition rank, since requiring the factors in each summand to coincide restricts the allowed tensor decompositions. The Comon conjecture asserted equality, but counterexamples are known. For a symmetric tensor of order 2, both ranks equal its matrix rank.


See also

Comon Conjecture, Matrix Rank, Symmetric Tensor, Tensor Decomposition Rank

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References

Comon, P.; Golub, G.; Lim, L.-H.; and Mourrain, B. "Symmetric Tensors and Symmetric Tensor Rank." SIAM J. Matrix Anal. Appl. 30, 1254-1279, 2008. https://doi.org/10.1137/060661569.

Cite this as:

Weisstein, Eric W. "Symmetric Tensor Rank." From MathWorld--A Wolfram Resource. https://mathworld.wolfram.com/SymmetricTensorRank.html

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