We show that two important quantities from two disparate areas of complexity theory — Strassen’s exponent of matrix multiplication and Grothendieck’s constant — are intimately related. They are different measures of size for the same underlying object — the matrix multiplication tensor, i.e., the -tensor or bilinear operator $\mu_{l,m,n} : ^{l \times m} \times ^{m \times n} \to ^{l \times n}(A,B) \mapsto AB = $. It is well-known that Strassen’s exponent of matrix multiplication is the greatest lower bound on (the log of) a tensor rank of . We will show that Grothendieck’s constant is the least upper bound on a tensor norm of , taken over all $l, m, n \in $. Aside from relating the two celebrated quantities, this insight allows us to rewrite Grothendieck’s inequality as a norm inequality We prove that Grothendieck’s inequality is unique: If we generalize the -norm to arbitrary , then is, up to cyclic permutations, the only choice for which is uniformly bounded by a constant independent of .

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