Approximate Real Symmetric Tensor Rank
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We investigate the effect of an ε-room of perturbation tolerance on symmetric tensor decomposition. To be more precise, suppose a real symmetric d-tensor f, a norm ||.|| on the space of symmetric d-tensors, and ε >0 are given. What is the smallest symmetric tensor rank in the ε-neighborhood of f? In other words, what is the symmetric tensor rank of f after a clever ε-perturbation? We prove two theorems and develop three corresponding algorithms that give constructive upper bounds for this question. With expository goals in mind; we present probabilistic and convex geometric ideas behind our results, reproduce some known results, and point out open problems.
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