{"id":927,"date":"2017-05-31T07:52:43","date_gmt":"2017-05-31T07:52:43","guid":{"rendered":"http:\/\/physics-complex-systems.fr\/?p=927"},"modified":"2025-08-31T20:55:10","modified_gmt":"2025-08-31T20:55:10","slug":"stochastic-processes","status":"publish","type":"post","link":"https:\/\/physics-complex-systems.fr\/en\/stochastic-processes.html","title":{"rendered":"Stochastic processes"},"content":{"rendered":"<p>[vc_row][vc_column css=&#8221;.vc_custom_1496399944725{margin-top: -40px !important;margin-bottom: -20px !important;}&#8221;][vc_separator][\/vc_column][\/vc_row][vc_row][vc_column width=&#8221;1\/2&#8243;][vc_column_text]<\/p>\n<div style=\"text-align: justify; text-justify: inter-word; color: #363131;\">Stochastic phenomena, the description of which involves randomness, are ubiquitous in physics, chemistry, biology and beyond (information theory, computer science, economy etc.). The goal is to equip students with the essential tools for their modeling and understanding. The course starts with a probability bootstrap with emphasis on large deviations, establishing a bridge with statistical physics approaches. Markov processes, Langevin and Fokker-Planck equations are then presented, together with the stochastic differential equation framework and stochastic calculus (Stratonovich versus Ito-D\u00f6blin rules). The linear-response theory features, found along the way, will be put in a broader perspective. The second half of the course is devoted to fluctuation theorems, first passage properties. Follows an introduction to functionals of Brownian motion and the Feynman-Kac formula.<\/div>\n<p>[\/vc_column_text][vc_column_text]Webpage (with materials) :<\/p>\n<p><a href=\"https:\/\/www.lptms.universite-paris-saclay.fr\/christophe_texier\/enseignements\/enseignements-en-master\/m2-pcs-stochastic-processes\/\">https:\/\/www.lptms.universite-paris-saclay.fr\/christophe_texier\/enseignements\/enseignements-en-master\/m2-pcs-stochastic-processes\/<\/a>[\/vc_column_text][\/vc_column][vc_column width=&#8221;1\/2&#8243;][vc_single_image image=&#8221;7113&#8243; img_size=&#8221;full&#8221; add_caption=&#8221;yes&#8221;][vc_column_text]Trajectory of a colloidal particle trapped in a modulated double-well potential ; from A. Berut <em>et al.<\/em>, J. Stat. Mech P06015 (2015)[\/vc_column_text][\/vc_column][\/vc_row][vc_row][vc_column width=&#8221;1\/2&#8243;][vc_column_text]<\/p>\n<div><strong>Few references:<\/strong><\/div>\n<div>\n<ul>\n<li><em>The Fokker-Planck Equation: Methods of Solutions and Applications<\/em>, H. Risken, Springer.<\/li>\n<li><em>Stochastic processes in physics and chemistry<\/em>, N. G. van Kampen, Elsevier.<\/li>\n<li><em>Handbook of stochastic methods<\/em>, C. W. Gardiner, Springer.<\/li>\n<\/ul>\n<\/div>\n<p>[\/vc_column_text][vc_column_text]<img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-6266 alignleft\" src=\"https:\/\/physics-complex-systems.fr\/wp-content\/uploads\/2017\/05\/2023-08-davanti-il-corno-grande-243x300.jpg\" alt=\"\" width=\"174\" height=\"215\" srcset=\"https:\/\/physics-complex-systems.fr\/wp-content\/uploads\/2017\/05\/2023-08-davanti-il-corno-grande-243x300.jpg 243w, https:\/\/physics-complex-systems.fr\/wp-content\/uploads\/2017\/05\/2023-08-davanti-il-corno-grande.jpg 404w\" sizes=\"(max-width: 174px) 100vw, 174px\" \/>\u00a0Christophe Texier (Universit\u00e9 Paris-Saclay)[\/vc_column_text][\/vc_column][vc_column width=&#8221;1\/2&#8243;][\/vc_column][\/vc_row][vc_row css=&#8221;.vc_custom_1496785146748{margin-top: 20px !important;}&#8221;][vc_column][vc_column_text]<\/p>\n<div class=\"displaytags\" style=\"color: #363131;\"><span class=\"etiquette-key\">Keywords : Brownian motion, Markov processes, Langevin and Fokker-Planck equations, stochastic thermodynamics, fluctuation theorems<\/span><\/div>\n<p>[\/vc_column_text][\/vc_column][\/vc_row]<\/p>\n","protected":false},"excerpt":{"rendered":"<p>[vc_row][vc_column css=&#8221;.vc_custom_1496399944725{margin-top: -40px !important;margin-bottom: -20px !important;}&#8221;][vc_separator][\/vc_column][\/vc_row][vc_row][vc_column width=&#8221;1\/2&#8243;][vc_column_text] Stochastic phenomena, the description of which involves randomness, are ubiquitous in physics, chemistry, biology and beyond (information theory,&#8230;<\/p>\n","protected":false},"author":5,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[35,11,10],"tags":[17,20,22,23,19,21,18],"translation":{"provider":"WPGlobus","version":"2.12.2","language":"en","enabled_languages":["fr","en"],"languages":{"fr":{"title":true,"content":true,"excerpt":false},"en":{"title":false,"content":false,"excerpt":false}}},"_links":{"self":[{"href":"https:\/\/physics-complex-systems.fr\/en\/wp-json\/wp\/v2\/posts\/927"}],"collection":[{"href":"https:\/\/physics-complex-systems.fr\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/physics-complex-systems.fr\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/physics-complex-systems.fr\/en\/wp-json\/wp\/v2\/users\/5"}],"replies":[{"embeddable":true,"href":"https:\/\/physics-complex-systems.fr\/en\/wp-json\/wp\/v2\/comments?post=927"}],"version-history":[{"count":41,"href":"https:\/\/physics-complex-systems.fr\/en\/wp-json\/wp\/v2\/posts\/927\/revisions"}],"predecessor-version":[{"id":7111,"href":"https:\/\/physics-complex-systems.fr\/en\/wp-json\/wp\/v2\/posts\/927\/revisions\/7111"}],"wp:attachment":[{"href":"https:\/\/physics-complex-systems.fr\/en\/wp-json\/wp\/v2\/media?parent=927"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/physics-complex-systems.fr\/en\/wp-json\/wp\/v2\/categories?post=927"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/physics-complex-systems.fr\/en\/wp-json\/wp\/v2\/tags?post=927"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}