{"has_accepted_license":"1","intvolume":" 35","related_material":{"record":[{"status":"public","id":"10414","relation":"earlier_version"}]},"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","status":"public","article_number":"11","keyword":["Theoretical Computer Science","Software"],"date_updated":"2024-01-17T08:19:41Z","ddc":["000"],"publication_status":"published","type":"journal_article","volume":35,"title":"On lexicographic proof rules for probabilistic termination","quality_controlled":"1","date_published":"2023-06-23T00:00:00Z","article_processing_charge":"Yes (via OA deal)","acknowledgement":"This research was partially supported by the ERC CoG (grant no. 863818; ForM-SMArt), the Czech Science Foundation (grant no. GA21-24711S), and the European Union’s Horizon 2020 research and innovation program under the Marie Skłodowska-Curie Grant Agreement No. 665385.","doi":"10.1145/3585391","_id":"14778","publisher":"Association for Computing Machinery","external_id":{"arxiv":["2108.02188"]},"date_created":"2024-01-10T09:27:43Z","oa":1,"file":[{"file_size":502522,"creator":"dernst","file_id":"14804","date_created":"2024-01-16T08:11:24Z","access_level":"open_access","success":1,"checksum":"3bb133eeb27ec01649a9a36445d952d9","content_type":"application/pdf","date_updated":"2024-01-16T08:11:24Z","relation":"main_file","file_name":"2023_FormalAspectsComputing_Chatterjee.pdf"}],"file_date_updated":"2024-01-16T08:11:24Z","department":[{"_id":"KrCh"}],"project":[{"grant_number":"863818","call_identifier":"H2020","name":"Formal Methods for Stochastic Models: Algorithms and Applications","_id":"0599E47C-7A3F-11EA-A408-12923DDC885E"},{"call_identifier":"H2020","grant_number":"665385","_id":"2564DBCA-B435-11E9-9278-68D0E5697425","name":"International IST Doctoral Program"}],"month":"06","article_type":"original","day":"23","tmp":{"name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","image":"/images/cc_by.png","short":"CC BY (4.0)"},"issue":"2","language":[{"iso":"eng"}],"author":[{"orcid":"0000-0002-4561-241X","first_name":"Krishnendu","full_name":"Chatterjee, Krishnendu","last_name":"Chatterjee","id":"2E5DCA20-F248-11E8-B48F-1D18A9856A87"},{"last_name":"Kafshdar Goharshady","full_name":"Kafshdar Goharshady, Ehsan","first_name":"Ehsan"},{"full_name":"Novotný, Petr","last_name":"Novotný","first_name":"Petr","id":"3CC3B868-F248-11E8-B48F-1D18A9856A87"},{"first_name":"Jiří","last_name":"Zárevúcky","full_name":"Zárevúcky, Jiří"},{"id":"294AA7A6-F248-11E8-B48F-1D18A9856A87","first_name":"Dorde","orcid":"0000-0002-4681-1699","full_name":"Zikelic, Dorde","last_name":"Zikelic"}],"year":"2023","publication_identifier":{"issn":["0934-5043"],"eissn":["1433-299X"]},"ec_funded":1,"publication":"Formal Aspects of Computing","abstract":[{"text":"We consider the almost-sure (a.s.) termination problem for probabilistic programs, which are a stochastic extension of classical imperative programs. Lexicographic ranking functions provide a sound and practical approach for termination of non-probabilistic programs, and their extension to probabilistic programs is achieved via lexicographic ranking supermartingales (LexRSMs). However, LexRSMs introduced in the previous work have a limitation that impedes their automation: all of their components have to be non-negative in all reachable states. This might result in a LexRSM not existing even for simple terminating programs. Our contributions are twofold. First, we introduce a generalization of LexRSMs that allows for some components to be negative. This standard feature of non-probabilistic termination proofs was hitherto not known to be sound in the probabilistic setting, as the soundness proof requires a careful analysis of the underlying stochastic process. Second, we present polynomial-time algorithms using our generalized LexRSMs for proving a.s. termination in broad classes of linear-arithmetic programs.","lang":"eng"}],"oa_version":"Published Version","citation":{"ieee":"K. Chatterjee, E. Kafshdar Goharshady, P. Novotný, J. Zárevúcky, and D. Zikelic, “On lexicographic proof rules for probabilistic termination,” Formal Aspects of Computing, vol. 35, no. 2. Association for Computing Machinery, 2023.","mla":"Chatterjee, Krishnendu, et al. “On Lexicographic Proof Rules for Probabilistic Termination.” Formal Aspects of Computing, vol. 35, no. 2, 11, Association for Computing Machinery, 2023, doi:10.1145/3585391.","ama":"Chatterjee K, Kafshdar Goharshady E, Novotný P, Zárevúcky J, Zikelic D. On lexicographic proof rules for probabilistic termination. Formal Aspects of Computing. 2023;35(2). doi:10.1145/3585391","ista":"Chatterjee K, Kafshdar Goharshady E, Novotný P, Zárevúcky J, Zikelic D. 2023. On lexicographic proof rules for probabilistic termination. Formal Aspects of Computing. 35(2), 11.","short":"K. Chatterjee, E. Kafshdar Goharshady, P. Novotný, J. Zárevúcky, D. Zikelic, Formal Aspects of Computing 35 (2023).","chicago":"Chatterjee, Krishnendu, Ehsan Kafshdar Goharshady, Petr Novotný, Jiří Zárevúcky, and Dorde Zikelic. “On Lexicographic Proof Rules for Probabilistic Termination.” Formal Aspects of Computing. Association for Computing Machinery, 2023. https://doi.org/10.1145/3585391.","apa":"Chatterjee, K., Kafshdar Goharshady, E., Novotný, P., Zárevúcky, J., & Zikelic, D. (2023). On lexicographic proof rules for probabilistic termination. Formal Aspects of Computing. Association for Computing Machinery. https://doi.org/10.1145/3585391"}}