Counting Computations with Formulae: Logical Characterisations of Counting Complexity Classes

Antonis Achilleos*, Aggeliki Chalki*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

We present quantitative logics with two-step semantics based on the framework of quantitative logics introduced by Arenas et al. (2020) and the two-step semantics defined in the context of weighted logics by Gastin & Monmege (2018). We show that some of the fragments of our logics augmented with a least fixed point operator capture interesting classes of counting problems. Specifically, we answer an open question in the area of descriptive complexity of counting problems by providing logical characterisations of two subclasses of #P, namely SpanL and TotP, that play a significant role in the study of approximable counting problems. Moreover, we define logics that capture FPSPACE and SpanPSPACE, which are counting versions of PSPACE.

Original languageEnglish
Title of host publication48th International Symposium on Mathematical Foundations of Computer Science, MFCS 2023
EditorsJerome Leroux, Sylvain Lombardy, David Peleg
PublisherSchloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing
ISBN (Electronic)9783959772921
DOIs
Publication statusPublished - 21 Aug 2023
Event48th International Symposium on Mathematical Foundations of Computer Science, MFCS 2023 - Bordeaux, France
Duration: 28 Aug 20231 Sept 2023

Publication series

NameLeibniz International Proceedings in Informatics, LIPIcs
Volume272
ISSN (Print)1868-8969

Conference

Conference48th International Symposium on Mathematical Foundations of Computer Science, MFCS 2023
Country/TerritoryFrance
CityBordeaux
Period28/08/231/09/23

Bibliographical note

Publisher Copyright:
© Antonis Achilleos and Aggeliki Chalki;

Other keywords

  • #P
  • counting problems
  • descriptive complexity
  • quantitative logics

Fingerprint

Dive into the research topics of 'Counting Computations with Formulae: Logical Characterisations of Counting Complexity Classes'. Together they form a unique fingerprint.

Cite this