Typical ranks of random order-three tensors
Paul Breiding, Sarah Eggleston, Andrea Rosana

TL;DR
This paper investigates the typical ranks of real three-dimensional tensors, providing geometric proofs, probabilistic interpretations, and linking tensor rank probabilities to the geometry of real cubic surfaces.
Contribution
It offers a geometric proof for the typical ranks of certain tensors and connects rank probabilities to intersection points of linear spaces with Segre varieties.
Findings
Typical ranks of certain tensors are contained in {ℓ, ℓ+1}
Probabilities of ranks relate to intersection points with Segre varieties
Bound on expected number of real lines on a cubic surface
Abstract
In this paper we study typical ranks of real tensors. In the case the typical ranks are contained in , and is always a typical rank. We provide a geometric proof of this fact. We express the probabilities of these ranks in terms of the probabilities of the numbers of intersection points of a random linear space with the Segre variety. In addition, we give some heuristics to understand how the probabilities of these ranks behave, based on asymptotic results on the average number of real points in a random linear slice of a Segre variety with a subspace of complementary dimension. The typical ranks of real tensors are and . We link the rank probabilities of a tensor with i.i.d.\ Gaussian entries to the probability of a random cubic surface in having…
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 · Mathematical Approximation and Integration · Advanced Mathematical Theories and Applications
