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Track A: Algorithms, Complexity and Games

DOI: 10.4230/LIPIcs.ICALP.2025.99

Algorithmic Aspects of Semistability of Quiver Representations

Authors: Yuni Iwamasa, Taihei Oki, and Tasuku Soma

Published in: LIPIcs, Volume 334, 52nd International Colloquium on Automata, Languages, and Programming (ICALP 2025)

Abstract

We study the semistability of quiver representations from an algorithmic perspective. We present efficient algorithms for several fundamental computational problems on the semistability of quiver representations: deciding the semistability and σ-semistability, finding the maximizers of King’s criterion, and computing the Harder-Narasimhan filtration. We also investigate a class of polyhedral cones defined by the linear system in King’s criterion, which we refer to as King cones. For rank-one representations, we demonstrate that these King cones can be encoded by submodular flow polytopes, enabling us to decide the σ-semistability in strongly polynomial time. Our approach employs submodularity in quiver representations, which may be of independent interest.

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Yuni Iwamasa, Taihei Oki, and Tasuku Soma. Algorithmic Aspects of Semistability of Quiver Representations. In 52nd International Colloquium on Automata, Languages, and Programming (ICALP 2025). Leibniz International Proceedings in Informatics (LIPIcs), Volume 334, pp. 99:1-99:18, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2025)

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@InProceedings{iwamasa_et_al:LIPIcs.ICALP.2025.99,
  author =	{Iwamasa, Yuni and Oki, Taihei and Soma, Tasuku},
  title =	{{Algorithmic Aspects of Semistability of Quiver Representations}},
  booktitle =	{52nd International Colloquium on Automata, Languages, and Programming (ICALP 2025)},
  pages =	{99:1--99:18},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-372-0},
  ISSN =	{1868-8969},
  year =	{2025},
  volume =	{334},
  editor =	{Censor-Hillel, Keren and Grandoni, Fabrizio and Ouaknine, Jo\"{e}l 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.2025.99},
  URN =		{urn:nbn:de:0030-drops-234762},
  doi =		{10.4230/LIPIcs.ICALP.2025.99},
  annote =	{Keywords: quivers, \sigma-semistability, King’s criterion, operator scaling, submodular flow}
}

Document

DOI: 10.4230/LIPIcs.ICALP.2018.99

A New Approximation Guarantee for Monotone Submodular Function Maximization via Discrete Convexity

Authors: Tasuku Soma and Yuichi Yoshida

Published in: LIPIcs, Volume 107, 45th International Colloquium on Automata, Languages, and Programming (ICALP 2018)

Abstract

In monotone submodular function maximization, approximation guarantees based on the curvature of the objective function have been extensively studied in the literature. However, the notion of curvature is often pessimistic, and we rarely obtain improved approximation guarantees, even for very simple objective functions. In this paper, we provide a novel approximation guarantee by extracting an M^{natural}-concave function h:2^E -> R_+, a notion in discrete convex analysis, from the objective function f:2^E -> R_+. We introduce a novel notion called the M^{natural}-concave curvature of a given set function f, which measures how much f deviates from an M^{natural}-concave function, and show that we can obtain a (1-gamma/e-epsilon)-approximation to the problem of maximizing f under a cardinality constraint in polynomial time, where gamma is the value of the M^{natural}-concave curvature and epsilon > 0 is an arbitrary constant. Then, we show that we can obtain nontrivial approximation guarantees for various problems by applying the proposed algorithm.

Cite as

Tasuku Soma and Yuichi Yoshida. A New Approximation Guarantee for Monotone Submodular Function Maximization via Discrete Convexity. In 45th International Colloquium on Automata, Languages, and Programming (ICALP 2018). Leibniz International Proceedings in Informatics (LIPIcs), Volume 107, pp. 99:1-99:14, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2018)

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@InProceedings{soma_et_al:LIPIcs.ICALP.2018.99,
  author =	{Soma, Tasuku and Yoshida, Yuichi},
  title =	{{A New Approximation Guarantee for Monotone Submodular Function Maximization via Discrete Convexity}},
  booktitle =	{45th International Colloquium on Automata, Languages, and Programming (ICALP 2018)},
  pages =	{99:1--99:14},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-076-7},
  ISSN =	{1868-8969},
  year =	{2018},
  volume =	{107},
  editor =	{Chatzigiannakis, Ioannis and Kaklamanis, Christos and Marx, D\'{a}niel and Sannella, Donald},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ICALP.2018.99},
  URN =		{urn:nbn:de:0030-drops-91033},
  doi =		{10.4230/LIPIcs.ICALP.2018.99},
  annote =	{Keywords: Submodular Function, Approximation Algorithm, Discrete Convex Analysis}
}

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Documents authored by Soma, Tasuku

Algorithmic Aspects of Semistability of Quiver Representations

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A New Approximation Guarantee for Monotone Submodular Function Maximization via Discrete Convexity

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