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A generalization of Kruskal's theorem on tensor decomposition
Benjamin Lovitz, Fedor Petrov, "A generalization of Kruskal's theorem on tensor decomposition," Forum of Mathematics, Sigma 11 (2023), e27, doi:10.1017/fms.2023.20; the copy read for this card is arXiv:2103.15633v2 (2021).
Local reading copy. A Markdown reading copy sits beside the PDF. The arXiv abstract page for the held version names the Creative Commons Attribution 4.0 license (https://arxiv.org/abs/2103.15633v2, read 2026-10-02); the held PDF carries the stamp "arXiv:2103.15633v2 [math.CO] 15 Sep 2021" and prints no notice.
Summary
The paper studies finite multisets of product tensors over an arbitrary field. Its central result is the splitting theorem, Theorem 4: if and , then splits as a direct sum of two nonempty subfamilies, or equivalently is disconnected as a matroid in the sense of Definition 3. Section 4 proves this by reducing to the two-factor estimate in Theorem 6, using preservation of connectedness under passage to factors (Proposition 5) and an ear decomposition of a connected matroid (Lemma 7). Fact 13 and Section 6 show that the numerical threshold is sharp, including for symmetric product tensors in the indicated characteristic-zero construction.
Corollary 10 replaces by the cardinality bound . This is the engine behind Theorem 2, the paper's generalization of Kruskal's theorem: if, for every with ,
then is a unique tensor-rank decomposition. The proof adjoins the negatives of the terms in a competing decomposition and analyzes the connected components of the resulting zero-sum family. Unlike Theorem 1, which uses global Kruskal ranks, Theorem 2 uses ordinary ranks on all subfamilies and can apply below the Kruskal-rank threshold. Theorem 11 gives a reshaped form in which the partition of the tensor factors may vary with ; Section 10 compares the three-factor criterion with the conditions of Domanov, De Lathauwer, and Sørensen, synthesizes those earlier criteria in Theorem 36, and ends with Question 38 on whether Condition U alone implies uniqueness.
Sections 7--9 develop further consequences of splitting. Theorem 15 and Corollaries 16--21 interpolate between linear independence, control of low-rank tensors in the span, and uniqueness, while Theorems 22 and 27 give partial coincidence results for decompositions having more terms than a known decomposition. In particular, Corollary 21 says that a circuit of product tensors can have in at most factors. Theorem 28 gives a tensor-rank lower bound in terms of the standard ranks , Kruskal ranks , and , under the balance conditions ; for two factors it specializes to Sylvester's matrix-rank inequality. Corollary 31 is the corresponding Waring-rank bound. For symmetric decompositions over fields of characteristic zero or characteristic greater than the tensor order, Theorem 32 shows that two distinct decompositions satisfying the stated Kruskal-rank hypotheses must have total number of terms ; Corollary 33 converts this to uniqueness even among certain nonminimal symmetric decompositions. Sections 8.1 and 9.1 provide broad sharpness constructions for these bounds.
Relation to E0774
For a finite set , dissociation means that there is no nonzero relation with . Thus the inclusion-minimal supports of such relations form a hypergraph on : dissociated subsets are precisely its independent sets, and a partition into finitely many dissociated sets is a finite proper coloring of this relation hypergraph. Proportionate dissociation gives a uniform positive lower bound on the independence ratio of every finite induced subhypergraph; E0774 asks whether the special hypergraphs arising from integer relations must consequently have bounded chromatic number.
Theorem 4 supplies a structural estimate when a minimal relation support is realized instead as a minimally dependent family of product tensors. In the paper's notation, let be such a circuit and write . Minimal dependence gives , while a circuit is connected. The contrapositive of Theorem 4 therefore yields
Corollary 21 records the immediate coarser consequence that at most tensor factors can vary on . In a product-tensor model for an E0774 relation system, this is how the splitting theorem constrains each minimal dependent support: excessive aggregate local rank would force the support to split, contradicting minimality.
The paper does not construct such a product-tensor realization for arbitrary signed relations among integers, and its matroid circuits allow dependence coefficients from the ambient field rather than specifically . It also proves neither that proportionate dissociation supplies the local-rank hypotheses above nor that these circuit bounds imply a bounded coloring of the relation hypergraph. Consequently it provides a potentially useful local obstruction for product-structured minimal relations, but it does not resolve, or give a finite-union theorem for, E0774.
Bears on. E0774.