The large $N$ factorization does not hold for arbitrary multi-trace observables in random tensors
Razvan Gurau, Felix Joos, Benjamin Sudakov

TL;DR
This paper demonstrates that for random tensors of order three or higher, the large N factorization property of multi-trace observables fails generally, unlike in the matrix case, but holds for certain restricted families like melonic observables.
Contribution
It proves that large N factorization does not hold universally for multi-trace invariants in random tensors of order three or more, identifying conditions where it does.
Findings
Large N factorization fails for general multi-trace invariants in random tensors with D≥3.
Factorization holds for melonic observables, the dominant family at large N.
Contrasts the tensor case with the well-known matrix case where factorization always holds.
Abstract
We consider real tensors of order , that is -dimensional arrays of real numbers , where each index can take values. The tensor entries have no symmetry properties under permutations of the indices. The invariant polynomials built out of the tensor entries are called trace invariants. We prove that for a Gaussian random tensor with indices (that is such that the entries are independent identically distributed Gaussian random variables) the cumulant, or connected expectation, of a product of trace invariants is not always suppressed in scaling in with respect to the product of the expectations of the individual invariants. Said otherwise, not all the multi-trace expectations factor at large in terms of the single-trace ones and the Gaussian scaling is not subadditive on the connected…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsTensor decomposition and applications · Computational Physics and Python Applications · Particle physics theoretical and experimental studies
