High-rank subtensors of high-rank tensors
Thomas Karam

TL;DR
This paper establishes that high-rank tensors can be restricted to smaller sub-tensors with controlled size while maintaining high rank, applicable to various notions of tensor rank.
Contribution
It introduces functions relating tensor rank thresholds to sub-tensor restrictions for a broad class of rank notions, including tensor, slice, and partition ranks.
Findings
Existence of functions linking tensor rank to sub-tensor restrictions.
High-rank tensors can be restricted to small, high-rank sub-tensors.
Disjoint subsets are possible under natural conditions.
Abstract
Let be a positive integer. We show that for a class of notions of rank for order- tensors, which includes in particular the tensor rank, the slice rank and the partition rank, there exist functions and such that if an order- tensor has -rank at least then we can restrict its entries to a product of sets such that the restriction has -rank at least and the sets each have size at most . Furthermore, our proof methods allow us to show that under a very natural condition we can require the sets to be pairwise disjoint.
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Taxonomy
TopicsTensor decomposition and applications · Sparse and Compressive Sensing Techniques · Elasticity and Material Modeling
