English

Grothendieck constant is norm of Strassen matrix multiplication tensor

Computational Complexity 2018-06-07 v2

Abstract

We show that two important quantities from two disparate areas of complexity theory --- Strassen's exponent of matrix multiplication ω\omega and Grothendieck's constant KGK_G --- are intimately related. They are different measures of size for the same underlying object --- the matrix multiplication tensor, i.e., the 33-tensor or bilinear operator μl,m,n:Fl×m×Fm×nFl×n\mu_{l,m,n} : \mathbb{F}^{l \times m} \times \mathbb{F}^{m \times n} \to \mathbb{F}^{l \times n}, (A,B)AB(A,B) \mapsto AB defined by matrix-matrix product over F=R\mathbb{F} = \mathbb{R} or C\mathbb{C}. It is well-known that Strassen's exponent of matrix multiplication is the greatest lower bound on (the log of) a tensor rank of μl,m,n\mu_{l,m,n}. We will show that Grothendieck's constant is the least upper bound on a tensor norm of μl,m,n\mu_{l,m,n}, taken over all l,m,nNl, m, n \in \mathbb{N}. Aside from relating the two celebrated quantities, this insight allows us to rewrite Grothendieck's inequality as a norm inequality μl,m,n1,2,=maxX,Y,M0tr(XMY)X1,2Y2,M,1KG. \lVert\mu_{l,m,n}\rVert_{1,2,\infty} =\max_{X,Y,M\neq0}\frac{|\operatorname{tr}(XMY)|}{\lVert X\rVert_{1,2}\lVert Y\rVert_{2,\infty}\lVert M\rVert_{\infty,1}}\le K_G. We prove that Grothendieck's inequality is unique: If we generalize the (1,2,)(1,2,\infty)-norm to arbitrary p,q,r[1,]p,q, r \in [1, \infty], μl,m,np,q,r=maxX,Y,M0tr(XMY)Xp,qYq,rMr,p, \lVert\mu_{l,m,n}\rVert_{p,q,r}=\max_{X,Y,M\neq0}\frac{|\operatorname{tr}(XMY)|}{\|X\|_{p,q}\|Y\|_{q,r}\|M\|_{r,p}}, then (p,q,r)=(1,2,)(p,q,r )=(1,2,\infty) is, up to cyclic permutations, the only choice for which μl,m,np,q,r\lVert\mu_{l,m,n}\rVert_{p,q,r} is uniformly bounded by a constant independent of l,m,nl,m,n.

Keywords

Cite

@article{arxiv.1711.04427,
  title  = {Grothendieck constant is norm of Strassen matrix multiplication tensor},
  author = {Jinjie Zhang and Shmuel Friedland and Lek-Heng Lim},
  journal= {arXiv preprint arXiv:1711.04427},
  year   = {2018}
}

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12 pages