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DOI: 10.4230/LIPIcs.ICALP.2026.106

Spiky Rank and Its Applications to Rigidity and Circuits

Authors: Lianna Hambardzumyan, Konstantin Myasnikov, Artur Riazanov, Morgan Shirley, and Adi Shraibman

Published in: LIPIcs, Volume 374, 53rd International Colloquium on Automata, Languages, and Programming (ICALP 2026)

Abstract

We introduce spiky rank, a new matrix parameter that enhances blocky rank by combining the combinatorial structure of the latter with linear-algebraic flexibility. A spiky matrix is block-structured with diagonal blocks that are arbitrary rank-one matrices, and the spiky rank of a matrix is the minimum number of such matrices required to express it as a sum. This measure extends blocky rank to real matrices and is more robust for problems with both combinatorial and algebraic character. Our conceptual contribution is as follows: we propose spiky rank as a well-behaved candidate matrix complexity measure and demonstrate its potential through applications. We show that large spiky rank implies high matrix rigidity, and that spiky rank lower bounds yield lower bounds for depth-2 ReLU circuits, the basic building blocks of neural networks. On the technical side, we establish tight bounds for random matrices and develop a framework for explicit lower bounds, applying it to Hamming distance matrices and spectral expanders. Finally, we relate spiky rank to other matrix parameters, including blocky rank, sparsity, and the γ₂-norm.

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Lianna Hambardzumyan, Konstantin Myasnikov, Artur Riazanov, Morgan Shirley, and Adi Shraibman. Spiky Rank and Its Applications to Rigidity and Circuits. In 53rd International Colloquium on Automata, Languages, and Programming (ICALP 2026). Leibniz International Proceedings in Informatics (LIPIcs), Volume 374, pp. 106:1-106:22, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2026)

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@InProceedings{hambardzumyan_et_al:LIPIcs.ICALP.2026.106,
  author =	{Hambardzumyan, Lianna and Myasnikov, Konstantin and Riazanov, Artur and Shirley, Morgan and Shraibman, Adi},
  title =	{{Spiky Rank and Its Applications to Rigidity and Circuits}},
  booktitle =	{53rd International Colloquium on Automata, Languages, and Programming (ICALP 2026)},
  pages =	{106:1--106:22},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-428-4},
  ISSN =	{1868-8969},
  year =	{2026},
  volume =	{374},
  editor =	{Bhattacharya, Sayan and Nanongkai, Danupon and Benedikt, Michael and Puppis, Gabriele},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ICALP.2026.106},
  URN =		{urn:nbn:de:0030-drops-264954},
  doi =		{10.4230/LIPIcs.ICALP.2026.106},
  annote =	{Keywords: blocky rank, matrix rigidity, ReLU circuits, spiky rank}
}

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Spiky Rank and Its Applications to Rigidity and Circuits

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