License: Creative Commons Attribution 4.0 International license (CC BY 4.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.ICALP.2021.118
URN: urn:nbn:de:0030-drops-141873
URL: https://drops.dagstuhl.de/opus/volltexte/2021/14187/
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Balle, Borja ; Lacroce, Clara ; Panangaden, Prakash ; Precup, Doina ; Rabusseau, Guillaume

Optimal Spectral-Norm Approximate Minimization of Weighted Finite Automata

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LIPIcs-ICALP-2021-118.pdf (0.9 MB)


Abstract

We address the approximate minimization problem for weighted finite automata (WFAs) with weights in ℝ, over a one-letter alphabet: to compute the best possible approximation of a WFA given a bound on the number of states. This work is grounded in Adamyan-Arov-Krein approximation theory, a remarkable collection of results on the approximation of Hankel operators. In addition to its intrinsic mathematical relevance, this theory has proven to be very effective for model reduction. We adapt these results to the framework of weighted automata over a one-letter alphabet. We provide theoretical guarantees and bounds on the quality of the approximation in the spectral and 𝓁² norm. We develop an algorithm that, based on the properties of Hankel operators, returns the optimal approximation in the spectral norm.

BibTeX - Entry

@InProceedings{balle_et_al:LIPIcs.ICALP.2021.118,
  author =	{Balle, Borja and Lacroce, Clara and Panangaden, Prakash and Precup, Doina and Rabusseau, Guillaume},
  title =	{{Optimal Spectral-Norm Approximate Minimization of Weighted Finite Automata}},
  booktitle =	{48th International Colloquium on Automata, Languages, and Programming (ICALP 2021)},
  pages =	{118:1--118:20},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-195-5},
  ISSN =	{1868-8969},
  year =	{2021},
  volume =	{198},
  editor =	{Bansal, Nikhil and Merelli, Emanuela and Worrell, James},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/opus/volltexte/2021/14187},
  URN =		{urn:nbn:de:0030-drops-141873},
  doi =		{10.4230/LIPIcs.ICALP.2021.118},
  annote =	{Keywords: Weighted finite automata, approximate minimization, Hankel matrices, AAK Theory}
}

Keywords: Weighted finite automata, approximate minimization, Hankel matrices, AAK Theory
Collection: 48th International Colloquium on Automata, Languages, and Programming (ICALP 2021)
Issue Date: 2021
Date of publication: 02.07.2021


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