Preprint
Sep 2026
LDP for Tensor Forms
In this paper, we study the large deviation principle (LDP) 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. Using the LDP, we analyze a Gibbs measure with a tensor-valued Hamiltonian, and characterize the optimizers of the limiting...
Reihaneh Malekian, Sohom Bhattacharya, Nabarun Deb et al.
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