Author

Sohom Bhattacharya

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Preprint Sep 2026

LDP for Tensor Forms

The large deviation principle (LDP) is studied for a tensor-weighted functional of i.i.d. random variables, when the sequence of tensors converges under a variant of the"bad"cut norm, and sufficient conditions for uniqueness of the optimizer and existence of constant optimizers are given.

Reihaneh Malekian, Sohom Bhattacharya, Nabarun Deb et al. · 0 citations