{"citation":{"ista":"Pedrotti F. 2024. Functional inequalities and convergence of stochastic processes. Institute of Science and Technology Austria.","ieee":"F. Pedrotti, “Functional inequalities and convergence of stochastic processes,” Institute of Science and Technology Austria, 2024.","ama":"Pedrotti F. Functional inequalities and convergence of stochastic processes. 2024. doi:<a href=\"https://doi.org/10.15479/at:ista:17336\">10.15479/at:ista:17336</a>","short":"F. Pedrotti, Functional Inequalities and Convergence of Stochastic Processes, Institute of Science and Technology Austria, 2024.","mla":"Pedrotti, Francesco. <i>Functional Inequalities and Convergence of Stochastic Processes</i>. Institute of Science and Technology Austria, 2024, doi:<a href=\"https://doi.org/10.15479/at:ista:17336\">10.15479/at:ista:17336</a>.","apa":"Pedrotti, F. (2024). <i>Functional inequalities and convergence of stochastic processes</i>. Institute of Science and Technology Austria. <a href=\"https://doi.org/10.15479/at:ista:17336\">https://doi.org/10.15479/at:ista:17336</a>","chicago":"Pedrotti, Francesco. “Functional Inequalities and Convergence of Stochastic Processes.” Institute of Science and Technology Austria, 2024. <a href=\"https://doi.org/10.15479/at:ista:17336\">https://doi.org/10.15479/at:ista:17336</a>."},"supervisor":[{"id":"4C5696CE-F248-11E8-B48F-1D18A9856A87","last_name":"Maas","first_name":"Jan","full_name":"Maas, Jan","orcid":"0000-0002-0845-1338"}],"language":[{"iso":"eng"}],"project":[{"name":"Optimal Transport and Stochastic Dynamics","call_identifier":"H2020","_id":"256E75B8-B435-11E9-9278-68D0E5697425","grant_number":"716117"},{"name":"Taming Complexity in Partial Differential Systems","_id":"fc31cba2-9c52-11eb-aca3-ff467d239cd2","grant_number":"F6504"}],"title":"Functional inequalities and convergence of stochastic processes","author":[{"full_name":"Pedrotti, Francesco","first_name":"Francesco","last_name":"Pedrotti","id":"d3ac8ac6-dc8d-11ea-abe3-e2a9628c4c3c"}],"corr_author":"1","file":[{"content_type":"application/pdf","relation":"main_file","access_level":"open_access","checksum":"11650bab714ef85ad43a287060850523","file_name":"thesis_final.pdf","file_size":2941599,"creator":"fpedrott","date_updated":"2024-08-02T09:23:26Z","success":1,"file_id":"17366","date_created":"2024-08-02T09:23:26Z"},{"content_type":"application/x-zip-compressed","relation":"source_file","file_id":"17367","date_created":"2024-08-02T09:27:15Z","date_updated":"2024-08-02T09:27:15Z","file_name":"thesis_final_source.zip","file_size":6293375,"creator":"fpedrott","access_level":"closed","checksum":"c30ba5611941226cf1bfc867c25b1e80"}],"date_updated":"2025-09-08T07:55:02Z","publication_identifier":{"issn":["2663-337X"]},"degree_awarded":"PhD","ec_funded":1,"ddc":["500","510","515","519"],"date_created":"2024-07-29T09:14:14Z","year":"2024","article_processing_charge":"No","license":"https://creativecommons.org/licenses/by-nc-nd/4.0/","page":"183","month":"07","oa":1,"_id":"17336","file_date_updated":"2024-08-02T09:27:15Z","user_id":"8b945eb4-e2f2-11eb-945a-df72226e66a9","alternative_title":["ISTA Thesis"],"related_material":{"record":[{"id":"17351","relation":"part_of_dissertation","status":"public"},{"status":"public","id":"17353","relation":"part_of_dissertation"},{"status":"public","relation":"part_of_dissertation","id":"17350"},{"status":"public","id":"17352","relation":"part_of_dissertation"},{"status":"public","relation":"part_of_dissertation","id":"17143"}]},"has_accepted_license":"1","type":"dissertation","oa_version":"Published Version","doi":"10.15479/at:ista:17336","tmp":{"image":"/images/cc_by_nc_nd.png","name":"Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)","short":"CC BY-NC-ND (4.0)","legal_code_url":"https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode"},"publisher":"Institute of Science and Technology Austria","date_published":"2024-07-31T00:00:00Z","department":[{"_id":"GradSch"},{"_id":"JaMa"}],"publication_status":"published","day":"31","status":"public","abstract":[{"text":"This thesis deals with the study of stochastic processes and their ergodicity properties. The\r\nvariety of problems encountered calls for a set of different approaches, ranging from classical to\r\nmodern ones: a special place is held by probabilistic methods based on couplings, by functional\r\ninequalities, and by the theory of gradient flows in the space of measures.\r\n\r\nThe material is organized as follows. Chapter 1 contains the introduction to this thesis, starting\r\nwith a general presentation of some of the relevant topics. Section 1.1 is dedicated to the\r\ntheory of gradient flows in metric spaces, and introduces the first contribution of this thesis\r\n[DSMP24], which is presented in detail in Chapter 2. Section 1.2 moves to the topic of\r\ncurvature of Markov chains, concluding with a brief description of our second contribution\r\n[Ped23], which is included in Chapter 3. Section 1.3 discusses applications of stochastic\r\nprocesses to the theory of sampling, in particular the recent framework of score-based diffusion\r\nmodels, and our contribution [PMM24], which is contained in Chapter 4. Section 1.4 discusses\r\nsome related problems, concerning the regularization properties of the heat flow. It serves\r\nas a motivation for the work [BP24], which we report in Chapter 5. Finally, Section 1.5\r\ndiscusses the last contribution of this thesis, which can be found in Chapter 6. It deals with\r\nthe convergence to equilibrium of a particular stochastic model from quantitative genetics:\r\nthis is established via some functional inequalities, which we prove with probabilistic arguments\r\nbased on couplings.\r\n","lang":"eng"}]}