{"id":502529,"date":"2018-09-13T07:00:26","date_gmt":"2018-09-13T14:00:26","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-event&#038;p=502529"},"modified":"2025-08-06T11:56:51","modified_gmt":"2025-08-06T18:56:51","slug":"charles-river-lecture-series","status":"publish","type":"msr-event","link":"https:\/\/www.microsoft.com\/en-us\/research\/event\/charles-river-lecture-series\/","title":{"rendered":"Charles River Lecture Series"},"content":{"rendered":"\n\n<p><strong>Venue:<\/strong> <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/lab\/microsoft-research-new-england\/\">Microsoft Research New England<\/a><br \/>\nHorace Mann Conference Room<br \/>\nOne Memorial Drive<br \/>\nCambridge, Massachusetts\u00a0 02142<span id=\"label-external-link\" class=\"sr-only\" aria-hidden=\"true\">Opens in a new tab<\/span><\/p>\n<h2>Charles River Lectures on Probability and Related Topics<\/h2>\n<p>Jointly organized by Harvard University, Massachusetts Institute of Technology, and Microsoft Research New England, the Charles River Lectures on Probability and Related Topics is a one-day event for the benefit of the greater Boston area mathematics community.<\/p>\n<h3>Committee Members<\/h3>\n<p style=\"padding-left: 30px\">Alexei Borodin<br \/>\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/cohn\/\">Henry Cohn<\/a><br \/>\nVadim Gorin<br \/>\nElchanan Mossel<br \/>\nPhilippe Rigollet<br \/>\nScott Sheffield<br \/>\nNike Sun<br \/>\nHorng-Tzer Yau<\/p>\n<p><span id=\"label-external-link\" class=\"sr-only\" aria-hidden=\"true\">Opens in a new tab<\/span><\/p>\n<hr \/>\n<h3>Friday, October 12, 2018<\/h3>\n<hr \/>\n<table>\n<tbody>\n<tr>\n<td style=\"padding: 10px;border: inherit;width: 200px\"><strong>Time<\/strong><\/td>\n<td style=\"padding: 10px;border: inherit;width: 160px\"><strong>Speaker<\/strong><\/td>\n<td style=\"padding: 10px;border: inherit;width: 540px\"><strong>Title<\/strong><\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 10px;border: inherit\">9:00 AM-9:30 AM<\/td>\n<td style=\"padding: 10px;border: inherit\">Registration<\/td>\n<td style=\"padding: 10px;border: inherit\"><\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 10px;border: inherit\">9:30 AM-10:30 AM<\/td>\n<td style=\"padding: 10px;border: inherit\">Eyal Lubetzky<\/td>\n<td style=\"padding: 10px;border: inherit\"><em>Dynamics for 2D Potts\/FK models at criticality: many questions and a few answers<\/em><\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 10px;border: inherit\">10:45 AM-11:45 AM<\/td>\n<td style=\"padding: 10px;border: inherit\">Peter Winkler<\/td>\n<td style=\"padding: 10px;border: inherit\"><em>Random Permutations and the Displacement Ratio<\/em><\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 10px;border: inherit\">12:00 PM-1:30 PM<\/td>\n<td style=\"padding: 10px;border: inherit\">Lunch Break<\/td>\n<td style=\"padding: 10px;border: inherit\"><\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 10px;border: inherit\">1:30 PM-2:30 PM<\/td>\n<td style=\"padding: 10px;border: inherit\">Sandra Cerrai<\/td>\n<td style=\"padding: 10px;border: inherit\"><em>Large-time asymptotics in the Smoluchowski-Kramers approximation of infinite dimensional systems<\/em><\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 10px;border: inherit\">2:45 PM-3:45 PM<\/td>\n<td style=\"padding: 10px;border: inherit\">Joe Neeman<\/td>\n<td style=\"padding: 10px;border: inherit\"><em>The Gaussian double-bubble<\/em><\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 10px;border: inherit\">3:45 PM-4:30 PM<\/td>\n<td style=\"padding: 10px;border: inherit\">Break<\/td>\n<td style=\"padding: 10px;border: inherit\"><\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 10px;border: inherit\">4:30 PM-5:30 PM<\/td>\n<td style=\"padding: 10px;border: inherit\">Vadim Gorin<\/td>\n<td style=\"padding: 10px;border: inherit\"><em>Macroscopic fluctuations through Schur generating functions<\/em><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><span id=\"label-external-link\" class=\"sr-only\" aria-hidden=\"true\">Opens in a new tab<\/span><\/p>\n<p>\t<div data-wp-context='{\"items\":[]}' data-wp-interactive=\"msr\/accordion\">\n\t\t\t\t\t<div class=\"clearfix\">\n\t\t\t\t<div\n\t\t\t\t\tclass=\"btn-group align-items-center mb-g float-sm-right\"\n\t\t\t\t\tdata-bi-aN=\"accordion-collapse-controls\"\n\t\t\t\t>\n\t\t\t\t\t<button\n\t\t\t\t\t\tclass=\"btn btn-link m-0\"\n\t\t\t\t\t\tdata-bi-cN=\"Expand all\"\n\t\t\t\t\t\tdata-wp-bind--aria-controls=\"state.ariaControls\"\n\t\t\t\t\t\tdata-wp-bind--aria-expanded=\"state.ariaExpanded\"\n\t\t\t\t\t\tdata-wp-bind--disabled=\"state.isAllExpanded\"\n\t\t\t\t\t\tdata-wp-class--inactive=\"state.isAllExpanded\"\n\t\t\t\t\t\tdata-wp-on--click=\"actions.onExpandAll\"\n\t\t\t\t\t\ttype=\"button\"\n\t\t\t\t\t>\n\t\t\t\t\t\tExpand all\t\t\t\t\t<\/button>\n\t\t\t\t\t<span aria-hidden=\"true\"> | <\/span>\n\t\t\t\t\t<button\n\t\t\t\t\t\tclass=\"btn btn-link m-0\"\n\t\t\t\t\t\tdata-bi-cN=\"Collapse all\"\n\t\t\t\t\t\tdata-wp-bind--aria-controls=\"state.ariaControls\"\n\t\t\t\t\t\tdata-wp-bind--aria-expanded=\"state.ariaExpanded\"\n\t\t\t\t\t\tdata-wp-bind--disabled=\"state.isAllCollapsed\"\n\t\t\t\t\t\tdata-wp-class--inactive=\"state.isAllCollapsed\"\n\t\t\t\t\t\tdata-wp-on--click=\"actions.onCollapseAll\"\n\t\t\t\t\t\ttype=\"button\"\n\t\t\t\t\t>\n\t\t\t\t\t\tCollapse all\t\t\t\t\t<\/button>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t<ul class=\"msr-accordion\">\n\t\t\t\t\t\t\t\t<li class=\"m-0\" data-wp-context='{\"id\":\"accordion-content-848\"}' data-wp-init=\"callbacks.init\">\n\t\t<div class=\"accordion-header\">\n\t\t\t<button\n\t\t\t\taria-controls=\"accordion-content-848\"\n\t\t\t\tclass=\"btn btn-collapse\"\n\t\t\t\tdata-wp-bind--aria-expanded=\"state.isExpanded\"\n\t\t\t\tdata-wp-on--click=\"actions.onClick\"\n\t\t\t\tid=\"accordion-button-847\"\n\t\t\t\ttype=\"button\"\n\t\t\t>\n\t\t\t\tDynamics for 2D Potts\/FK models at criticality: many questions and a few answers\t\t\t<\/button>\n\t\t<\/div>\n\t\t<div\n\t\t\taria-labelledby=\"accordion-button-847\"\n\t\t\tclass=\"msr-accordion__content\"\n\t\t\tdata-wp-bind--inert=\"!state.isExpanded\"\n\t\t\tdata-wp-run=\"callbacks.run\"\n\t\t\tid=\"accordion-content-848\"\n\t\t>\n\t\t\t<div class=\"msr-accordion__body\">\n\t\t\t\t<p><strong>Eyal Lubetzky<\/strong><\/p>\n<p>We will survey recent developments and several of the many problems that remain open on the rate of convergence to equilibrium of Glauber dynamics for the Potts and FK model in Z^2 at criticality.<\/p>\n<p><span id=\"label-external-link\" class=\"sr-only\" aria-hidden=\"true\">Opens in a new tab<\/span><\/p>\n\t\t\t<\/div>\n\t\t<\/div>\n\t<\/li>\n\t\t<li class=\"m-0\" data-wp-context='{\"id\":\"accordion-content-850\"}' data-wp-init=\"callbacks.init\">\n\t\t<div class=\"accordion-header\">\n\t\t\t<button\n\t\t\t\taria-controls=\"accordion-content-850\"\n\t\t\t\tclass=\"btn btn-collapse\"\n\t\t\t\tdata-wp-bind--aria-expanded=\"state.isExpanded\"\n\t\t\t\tdata-wp-on--click=\"actions.onClick\"\n\t\t\t\tid=\"accordion-button-849\"\n\t\t\t\ttype=\"button\"\n\t\t\t>\n\t\t\t\tRandom Permutations and the Displacement Ratio\t\t\t<\/button>\n\t\t<\/div>\n\t\t<div\n\t\t\taria-labelledby=\"accordion-button-849\"\n\t\t\tclass=\"msr-accordion__content\"\n\t\t\tdata-wp-bind--inert=\"!state.isExpanded\"\n\t\t\tdata-wp-run=\"callbacks.run\"\n\t\t\tid=\"accordion-content-850\"\n\t\t>\n\t\t\t<div class=\"msr-accordion__body\">\n\t\t\t\t<p><strong>Peter Winkler<\/strong><\/p>\n<p>The &#8220;displacement ratio&#8221; R is the ratio of two natural measures of how close a permutation is to the identity, and is known always to be between 1 and 2. We want to know:\u00a0 what is R for a random permutation in S_n with a given\u00a0 number m(n) of inversions?\u00a0\u00a0 The behavior of R as m(n) changes is not entirely proven but seems rather surprising.<\/p>\n<p>Joint work with David Bevan, U. of Strathclyde.<\/p>\n<p><span id=\"label-external-link\" class=\"sr-only\" aria-hidden=\"true\">Opens in a new tab<\/span><\/p>\n\t\t\t<\/div>\n\t\t<\/div>\n\t<\/li>\n\t\t<li class=\"m-0\" data-wp-context='{\"id\":\"accordion-content-852\"}' data-wp-init=\"callbacks.init\">\n\t\t<div class=\"accordion-header\">\n\t\t\t<button\n\t\t\t\taria-controls=\"accordion-content-852\"\n\t\t\t\tclass=\"btn btn-collapse\"\n\t\t\t\tdata-wp-bind--aria-expanded=\"state.isExpanded\"\n\t\t\t\tdata-wp-on--click=\"actions.onClick\"\n\t\t\t\tid=\"accordion-button-851\"\n\t\t\t\ttype=\"button\"\n\t\t\t>\n\t\t\t\tLarge-time asymptotics in the Smoluchowski-Kramers approximation of infinite dimensional systems\t\t\t<\/button>\n\t\t<\/div>\n\t\t<div\n\t\t\taria-labelledby=\"accordion-button-851\"\n\t\t\tclass=\"msr-accordion__content\"\n\t\t\tdata-wp-bind--inert=\"!state.isExpanded\"\n\t\t\tdata-wp-run=\"callbacks.run\"\n\t\t\tid=\"accordion-content-852\"\n\t\t>\n\t\t\t<div class=\"msr-accordion__body\">\n\t\t\t\t<p><strong>Sandra Cerrai<\/strong><\/p>\n<p>I will discuss the validity of the so-called Smoluchowski-Kramers approximation for systems with an infinite number of degrees of freedom in a finite time. Then, I will investigate the validity of such approximation for large time. In particular, I will address the problem of the convergence, in the small mass limit, of statistically invariant states for a class of semi-linear damped wave equations, perturbed by an additive Gaussian noise, with quite general nonlinearities. More precisely, I will show how the first marginals of any sequence of invariant measures for the stochastic wave equation converge in a suitable Wasserstein metric to the unique invariant measure of the limiting stochastic semi-linear parabolic equation obtained in the Smoluchowski-Kramers approximation.<\/p>\n<p><span id=\"label-external-link\" class=\"sr-only\" aria-hidden=\"true\">Opens in a new tab<\/span><\/p>\n\t\t\t<\/div>\n\t\t<\/div>\n\t<\/li>\n\t\t<li class=\"m-0\" data-wp-context='{\"id\":\"accordion-content-854\"}' data-wp-init=\"callbacks.init\">\n\t\t<div class=\"accordion-header\">\n\t\t\t<button\n\t\t\t\taria-controls=\"accordion-content-854\"\n\t\t\t\tclass=\"btn btn-collapse\"\n\t\t\t\tdata-wp-bind--aria-expanded=\"state.isExpanded\"\n\t\t\t\tdata-wp-on--click=\"actions.onClick\"\n\t\t\t\tid=\"accordion-button-853\"\n\t\t\t\ttype=\"button\"\n\t\t\t>\n\t\t\t\tThe Gaussian double-bubble\t\t\t<\/button>\n\t\t<\/div>\n\t\t<div\n\t\t\taria-labelledby=\"accordion-button-853\"\n\t\t\tclass=\"msr-accordion__content\"\n\t\t\tdata-wp-bind--inert=\"!state.isExpanded\"\n\t\t\tdata-wp-run=\"callbacks.run\"\n\t\t\tid=\"accordion-content-854\"\n\t\t>\n\t\t\t<div class=\"msr-accordion__body\">\n\t\t\t\t<p><strong>Joe Neeman<\/strong><\/p>\n<p>The Gaussian isoperimetric inequality states that if we want to partition R^n into two sets with prescribed Gaussian measure while minimizing the Gaussian surface area of the interface between the sets, then the optimal partition is obtained by cutting R^n with a hyperplane. We prove an extension to more than two parts. For example, the optimal way to partition R^3 into three parts involves cutting along three rays that meet at 120-degree angles at a common point. This is the Gaussian analogue of the famous Double Bubble Theorem in Euclidean space, which describes the shape that results from blowing two soap bubbles and letting them stick together.<\/p>\n<p>Joint work with Emanuel Milman.<\/p>\n<p><span id=\"label-external-link\" class=\"sr-only\" aria-hidden=\"true\">Opens in a new tab<\/span><\/p>\n\t\t\t<\/div>\n\t\t<\/div>\n\t<\/li>\n\t\t<li class=\"m-0\" data-wp-context='{\"id\":\"accordion-content-856\"}' data-wp-init=\"callbacks.init\">\n\t\t<div class=\"accordion-header\">\n\t\t\t<button\n\t\t\t\taria-controls=\"accordion-content-856\"\n\t\t\t\tclass=\"btn btn-collapse\"\n\t\t\t\tdata-wp-bind--aria-expanded=\"state.isExpanded\"\n\t\t\t\tdata-wp-on--click=\"actions.onClick\"\n\t\t\t\tid=\"accordion-button-855\"\n\t\t\t\ttype=\"button\"\n\t\t\t>\n\t\t\t\tMacroscopic fluctuations through Schur generating functions\t\t\t<\/button>\n\t\t<\/div>\n\t\t<div\n\t\t\taria-labelledby=\"accordion-button-855\"\n\t\t\tclass=\"msr-accordion__content\"\n\t\t\tdata-wp-bind--inert=\"!state.isExpanded\"\n\t\t\tdata-wp-run=\"callbacks.run\"\n\t\t\tid=\"accordion-content-856\"\n\t\t>\n\t\t\t<div class=\"msr-accordion__body\">\n\t\t\t\t<p><strong>Vadim Gorin<\/strong><\/p>\n<p>I will talk about a special class of large-dimensional stochastic systems with strong correlations. The main examples will be random tilings, non-colliding random walks, eigenvalues of random matrices, and measures governing decompositions of group representations into irreducible components.<\/p>\n<p>It is believed that macroscopic fluctuations in such systems are universally described by log-correlated Gaussian fields. I will present an approach to handle this question based on the notion of the Schur generating function of a probability distribution, and explain how it leads to a rigorous confirmation of this belief in a variety of situations.<\/p>\n<p><span id=\"label-external-link\" class=\"sr-only\" aria-hidden=\"true\">Opens in a new tab<\/span><\/p>\n\t\t\t<\/div>\n\t\t<\/div>\n\t<\/li>\n\t\t\t\t\t\t<\/ul>\n\t<\/div>\n\t<span id=\"label-external-link\" class=\"sr-only\" aria-hidden=\"true\">Opens in a new tab<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Jointly organized by Harvard University, Massachusetts Institute of Technology, and Microsoft Research New England, the Charles River Lectures on Probability and Related Topics is a one-day event for the benefit of the greater Boston area mathematics community.<\/p>\n","protected":false},"featured_media":504122,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr_startdate":"2018-10-12","msr_enddate":"2018-10-12","msr_location":"Cambridge, MA","msr_expirationdate":"","msr_event_recording_link":"","msr_event_link":"https:\/\/www.microsoftevents.com\/profile\/form\/index.cfm?PKformID=0x4788818abcd","msr_event_link_redirect":false,"msr_event_time":"","msr_hide_region":false,"msr_private_event":false,"msr_hide_image_in_river":0,"footnotes":""},"research-area":[13546],"msr-region":[197900],"msr-event-type":[197941],"msr-video-type":[],"msr-locale":[268875],"msr-program-audience":[],"msr-post-option":[],"msr-impact-theme":[],"class_list":["post-502529","msr-event","type-msr-event","status-publish","has-post-thumbnail","hentry","msr-research-area-computational-sciences-mathematics","msr-region-north-america","msr-event-type-conferences","msr-locale-en_us"],"msr_about":"<!-- wp:msr\/event-details {\"title\":\"Charles River Lecture Series\",\"backgroundColor\":\"grey\",\"image\":{\"id\":504122,\"url\":\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2018\/08\/MSR_CharlesRiver_Graphics_1920x720.jpg\",\"alt\":\"\"}} \/-->\n\n<!-- wp:msr\/content-tabs --><!-- wp:msr\/content-tab {\"title\":\"About\"} --><!-- wp:freeform --><p><strong>Venue:<\/strong> <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/lab\/microsoft-research-new-england\/\">Microsoft Research New England<\/a><br \/>\nHorace Mann Conference Room<br \/>\nOne Memorial Drive<br \/>\nCambridge, Massachusetts\u00a0 02142<span id=\"label-external-link\" class=\"sr-only\" aria-hidden=\"true\">Opens in a new tab<\/span><\/p>\n<h2>Charles River Lectures on Probability and Related Topics<\/h2>\n<p>Jointly organized by Harvard University, Massachusetts Institute of Technology, and Microsoft Research New England, the Charles River Lectures on Probability and Related Topics is a one-day event for the benefit of the greater Boston area mathematics community.<\/p>\n<h3>Committee Members<\/h3>\n<p style=\"padding-left: 30px\">Alexei Borodin<br \/>\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/cohn\/\">Henry Cohn<\/a><br \/>\nVadim Gorin<br \/>\nElchanan Mossel<br \/>\nPhilippe Rigollet<br \/>\nScott Sheffield<br \/>\nNike Sun<br \/>\nHorng-Tzer Yau<\/p>\n<p><span id=\"label-external-link\" class=\"sr-only\" aria-hidden=\"true\">Opens in a new tab<\/span><\/p>\n<!-- \/wp:freeform --><!-- \/wp:msr\/content-tab --><!-- wp:msr\/content-tab {\"title\":\"Agenda\"} --><!-- wp:freeform --><hr \/>\n<h3>Friday, October 12, 2018<\/h3>\n<hr \/>\n<table>\n<tbody>\n<tr>\n<td style=\"padding: 10px;border: inherit;width: 200px\"><strong>Time<\/strong><\/td>\n<td style=\"padding: 10px;border: inherit;width: 160px\"><strong>Speaker<\/strong><\/td>\n<td style=\"padding: 10px;border: inherit;width: 540px\"><strong>Title<\/strong><\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 10px;border: inherit\">9:00 AM-9:30 AM<\/td>\n<td style=\"padding: 10px;border: inherit\">Registration<\/td>\n<td style=\"padding: 10px;border: inherit\"><\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 10px;border: inherit\">9:30 AM-10:30 AM<\/td>\n<td style=\"padding: 10px;border: inherit\">Eyal Lubetzky<\/td>\n<td style=\"padding: 10px;border: inherit\"><em>Dynamics for 2D Potts\/FK models at criticality: many questions and a few answers<\/em><\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 10px;border: inherit\">10:45 AM-11:45 AM<\/td>\n<td style=\"padding: 10px;border: inherit\">Peter Winkler<\/td>\n<td style=\"padding: 10px;border: inherit\"><em>Random Permutations and the Displacement Ratio<\/em><\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 10px;border: inherit\">12:00 PM-1:30 PM<\/td>\n<td style=\"padding: 10px;border: inherit\">Lunch Break<\/td>\n<td style=\"padding: 10px;border: inherit\"><\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 10px;border: inherit\">1:30 PM-2:30 PM<\/td>\n<td style=\"padding: 10px;border: inherit\">Sandra Cerrai<\/td>\n<td style=\"padding: 10px;border: inherit\"><em>Large-time asymptotics in the Smoluchowski-Kramers approximation of infinite dimensional systems<\/em><\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 10px;border: inherit\">2:45 PM-3:45 PM<\/td>\n<td style=\"padding: 10px;border: inherit\">Joe Neeman<\/td>\n<td style=\"padding: 10px;border: inherit\"><em>The Gaussian double-bubble<\/em><\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 10px;border: inherit\">3:45 PM-4:30 PM<\/td>\n<td style=\"padding: 10px;border: inherit\">Break<\/td>\n<td style=\"padding: 10px;border: inherit\"><\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 10px;border: inherit\">4:30 PM-5:30 PM<\/td>\n<td style=\"padding: 10px;border: inherit\">Vadim Gorin<\/td>\n<td style=\"padding: 10px;border: inherit\"><em>Macroscopic fluctuations through Schur generating functions<\/em><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><span id=\"label-external-link\" class=\"sr-only\" aria-hidden=\"true\">Opens in a new tab<\/span><\/p>\n<!-- \/wp:freeform --><!-- \/wp:msr\/content-tab --><!-- wp:msr\/content-tab {\"title\":\"Abstracts\"} --><!-- wp:freeform --><p>\t<div data-wp-context='{\"items\":[]}' data-wp-interactive=\"msr\/accordion\">\n\t\t\t\t\t<div class=\"clearfix\">\n\t\t\t\t<div\n\t\t\t\t\tclass=\"btn-group align-items-center mb-g float-sm-right\"\n\t\t\t\t\tdata-bi-aN=\"accordion-collapse-controls\"\n\t\t\t\t>\n\t\t\t\t\t<button\n\t\t\t\t\t\tclass=\"btn btn-link m-0\"\n\t\t\t\t\t\tdata-bi-cN=\"Expand all\"\n\t\t\t\t\t\tdata-wp-bind--aria-controls=\"state.ariaControls\"\n\t\t\t\t\t\tdata-wp-bind--aria-expanded=\"state.ariaExpanded\"\n\t\t\t\t\t\tdata-wp-bind--disabled=\"state.isAllExpanded\"\n\t\t\t\t\t\tdata-wp-class--inactive=\"state.isAllExpanded\"\n\t\t\t\t\t\tdata-wp-on--click=\"actions.onExpandAll\"\n\t\t\t\t\t\ttype=\"button\"\n\t\t\t\t\t>\n\t\t\t\t\t\tExpand all\t\t\t\t\t<\/button>\n\t\t\t\t\t<span aria-hidden=\"true\"> | <\/span>\n\t\t\t\t\t<button\n\t\t\t\t\t\tclass=\"btn btn-link m-0\"\n\t\t\t\t\t\tdata-bi-cN=\"Collapse all\"\n\t\t\t\t\t\tdata-wp-bind--aria-controls=\"state.ariaControls\"\n\t\t\t\t\t\tdata-wp-bind--aria-expanded=\"state.ariaExpanded\"\n\t\t\t\t\t\tdata-wp-bind--disabled=\"state.isAllCollapsed\"\n\t\t\t\t\t\tdata-wp-class--inactive=\"state.isAllCollapsed\"\n\t\t\t\t\t\tdata-wp-on--click=\"actions.onCollapseAll\"\n\t\t\t\t\t\ttype=\"button\"\n\t\t\t\t\t>\n\t\t\t\t\t\tCollapse all\t\t\t\t\t<\/button>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t<ul class=\"msr-accordion\">\n\t\t\t\t\t\t\t\t<li class=\"m-0\" data-wp-context='{\"id\":\"accordion-content-848\"}' data-wp-init=\"callbacks.init\">\n\t\t<div class=\"accordion-header\">\n\t\t\t<button\n\t\t\t\taria-controls=\"accordion-content-848\"\n\t\t\t\tclass=\"btn btn-collapse\"\n\t\t\t\tdata-wp-bind--aria-expanded=\"state.isExpanded\"\n\t\t\t\tdata-wp-on--click=\"actions.onClick\"\n\t\t\t\tid=\"accordion-button-847\"\n\t\t\t\ttype=\"button\"\n\t\t\t>\n\t\t\t\tDynamics for 2D Potts\/FK models at criticality: many questions and a few answers\t\t\t<\/button>\n\t\t<\/div>\n\t\t<div\n\t\t\taria-labelledby=\"accordion-button-847\"\n\t\t\tclass=\"msr-accordion__content\"\n\t\t\tdata-wp-bind--inert=\"!state.isExpanded\"\n\t\t\tdata-wp-run=\"callbacks.run\"\n\t\t\tid=\"accordion-content-848\"\n\t\t>\n\t\t\t<div class=\"msr-accordion__body\">\n\t\t\t\t<p><strong>Eyal Lubetzky<\/strong><\/p>\n<p>We will survey recent developments and several of the many problems that remain open on the rate of convergence to equilibrium of Glauber dynamics for the Potts and FK model in Z^2 at criticality.<\/p>\n<p><span id=\"label-external-link\" class=\"sr-only\" aria-hidden=\"true\">Opens in a new tab<\/span><\/p>\n\t\t\t<\/div>\n\t\t<\/div>\n\t<\/li>\n\t\t<li class=\"m-0\" data-wp-context='{\"id\":\"accordion-content-850\"}' data-wp-init=\"callbacks.init\">\n\t\t<div class=\"accordion-header\">\n\t\t\t<button\n\t\t\t\taria-controls=\"accordion-content-850\"\n\t\t\t\tclass=\"btn btn-collapse\"\n\t\t\t\tdata-wp-bind--aria-expanded=\"state.isExpanded\"\n\t\t\t\tdata-wp-on--click=\"actions.onClick\"\n\t\t\t\tid=\"accordion-button-849\"\n\t\t\t\ttype=\"button\"\n\t\t\t>\n\t\t\t\tRandom Permutations and the Displacement Ratio\t\t\t<\/button>\n\t\t<\/div>\n\t\t<div\n\t\t\taria-labelledby=\"accordion-button-849\"\n\t\t\tclass=\"msr-accordion__content\"\n\t\t\tdata-wp-bind--inert=\"!state.isExpanded\"\n\t\t\tdata-wp-run=\"callbacks.run\"\n\t\t\tid=\"accordion-content-850\"\n\t\t>\n\t\t\t<div class=\"msr-accordion__body\">\n\t\t\t\t<p><strong>Peter Winkler<\/strong><\/p>\n<p>The &#8220;displacement ratio&#8221; R is the ratio of two natural measures of how close a permutation is to the identity, and is known always to be between 1 and 2. We want to know:\u00a0 what is R for a random permutation in S_n with a given\u00a0 number m(n) of inversions?\u00a0\u00a0 The behavior of R as m(n) changes is not entirely proven but seems rather surprising.<\/p>\n<p>Joint work with David Bevan, U. of Strathclyde.<\/p>\n<p><span id=\"label-external-link\" class=\"sr-only\" aria-hidden=\"true\">Opens in a new tab<\/span><\/p>\n\t\t\t<\/div>\n\t\t<\/div>\n\t<\/li>\n\t\t<li class=\"m-0\" data-wp-context='{\"id\":\"accordion-content-852\"}' data-wp-init=\"callbacks.init\">\n\t\t<div class=\"accordion-header\">\n\t\t\t<button\n\t\t\t\taria-controls=\"accordion-content-852\"\n\t\t\t\tclass=\"btn btn-collapse\"\n\t\t\t\tdata-wp-bind--aria-expanded=\"state.isExpanded\"\n\t\t\t\tdata-wp-on--click=\"actions.onClick\"\n\t\t\t\tid=\"accordion-button-851\"\n\t\t\t\ttype=\"button\"\n\t\t\t>\n\t\t\t\tLarge-time asymptotics in the Smoluchowski-Kramers approximation of infinite dimensional systems\t\t\t<\/button>\n\t\t<\/div>\n\t\t<div\n\t\t\taria-labelledby=\"accordion-button-851\"\n\t\t\tclass=\"msr-accordion__content\"\n\t\t\tdata-wp-bind--inert=\"!state.isExpanded\"\n\t\t\tdata-wp-run=\"callbacks.run\"\n\t\t\tid=\"accordion-content-852\"\n\t\t>\n\t\t\t<div class=\"msr-accordion__body\">\n\t\t\t\t<p><strong>Sandra Cerrai<\/strong><\/p>\n<p>I will discuss the validity of the so-called Smoluchowski-Kramers approximation for systems with an infinite number of degrees of freedom in a finite time. Then, I will investigate the validity of such approximation for large time. In particular, I will address the problem of the convergence, in the small mass limit, of statistically invariant states for a class of semi-linear damped wave equations, perturbed by an additive Gaussian noise, with quite general nonlinearities. More precisely, I will show how the first marginals of any sequence of invariant measures for the stochastic wave equation converge in a suitable Wasserstein metric to the unique invariant measure of the limiting stochastic semi-linear parabolic equation obtained in the Smoluchowski-Kramers approximation.<\/p>\n<p><span id=\"label-external-link\" class=\"sr-only\" aria-hidden=\"true\">Opens in a new tab<\/span><\/p>\n\t\t\t<\/div>\n\t\t<\/div>\n\t<\/li>\n\t\t<li class=\"m-0\" data-wp-context='{\"id\":\"accordion-content-854\"}' data-wp-init=\"callbacks.init\">\n\t\t<div class=\"accordion-header\">\n\t\t\t<button\n\t\t\t\taria-controls=\"accordion-content-854\"\n\t\t\t\tclass=\"btn btn-collapse\"\n\t\t\t\tdata-wp-bind--aria-expanded=\"state.isExpanded\"\n\t\t\t\tdata-wp-on--click=\"actions.onClick\"\n\t\t\t\tid=\"accordion-button-853\"\n\t\t\t\ttype=\"button\"\n\t\t\t>\n\t\t\t\tThe Gaussian double-bubble\t\t\t<\/button>\n\t\t<\/div>\n\t\t<div\n\t\t\taria-labelledby=\"accordion-button-853\"\n\t\t\tclass=\"msr-accordion__content\"\n\t\t\tdata-wp-bind--inert=\"!state.isExpanded\"\n\t\t\tdata-wp-run=\"callbacks.run\"\n\t\t\tid=\"accordion-content-854\"\n\t\t>\n\t\t\t<div class=\"msr-accordion__body\">\n\t\t\t\t<p><strong>Joe Neeman<\/strong><\/p>\n<p>The Gaussian isoperimetric inequality states that if we want to partition R^n into two sets with prescribed Gaussian measure while minimizing the Gaussian surface area of the interface between the sets, then the optimal partition is obtained by cutting R^n with a hyperplane. We prove an extension to more than two parts. For example, the optimal way to partition R^3 into three parts involves cutting along three rays that meet at 120-degree angles at a common point. This is the Gaussian analogue of the famous Double Bubble Theorem in Euclidean space, which describes the shape that results from blowing two soap bubbles and letting them stick together.<\/p>\n<p>Joint work with Emanuel Milman.<\/p>\n<p><span id=\"label-external-link\" class=\"sr-only\" aria-hidden=\"true\">Opens in a new tab<\/span><\/p>\n\t\t\t<\/div>\n\t\t<\/div>\n\t<\/li>\n\t\t<li class=\"m-0\" data-wp-context='{\"id\":\"accordion-content-856\"}' data-wp-init=\"callbacks.init\">\n\t\t<div class=\"accordion-header\">\n\t\t\t<button\n\t\t\t\taria-controls=\"accordion-content-856\"\n\t\t\t\tclass=\"btn btn-collapse\"\n\t\t\t\tdata-wp-bind--aria-expanded=\"state.isExpanded\"\n\t\t\t\tdata-wp-on--click=\"actions.onClick\"\n\t\t\t\tid=\"accordion-button-855\"\n\t\t\t\ttype=\"button\"\n\t\t\t>\n\t\t\t\tMacroscopic fluctuations through Schur generating functions\t\t\t<\/button>\n\t\t<\/div>\n\t\t<div\n\t\t\taria-labelledby=\"accordion-button-855\"\n\t\t\tclass=\"msr-accordion__content\"\n\t\t\tdata-wp-bind--inert=\"!state.isExpanded\"\n\t\t\tdata-wp-run=\"callbacks.run\"\n\t\t\tid=\"accordion-content-856\"\n\t\t>\n\t\t\t<div class=\"msr-accordion__body\">\n\t\t\t\t<p><strong>Vadim Gorin<\/strong><\/p>\n<p>I will talk about a special class of large-dimensional stochastic systems with strong correlations. The main examples will be random tilings, non-colliding random walks, eigenvalues of random matrices, and measures governing decompositions of group representations into irreducible components.<\/p>\n<p>It is believed that macroscopic fluctuations in such systems are universally described by log-correlated Gaussian fields. I will present an approach to handle this question based on the notion of the Schur generating function of a probability distribution, and explain how it leads to a rigorous confirmation of this belief in a variety of situations.<\/p>\n<p><span id=\"label-external-link\" class=\"sr-only\" aria-hidden=\"true\">Opens in a new tab<\/span><\/p>\n\t\t\t<\/div>\n\t\t<\/div>\n\t<\/li>\n\t\t\t\t\t\t<\/ul>\n\t<\/div>\n\t<span id=\"label-external-link\" class=\"sr-only\" aria-hidden=\"true\">Opens in a new tab<\/span><\/p>\n<!-- \/wp:freeform --><!-- \/wp:msr\/content-tab --><!-- \/wp:msr\/content-tabs -->","tab-content":[{"id":0,"name":"About","content":"<h2>Charles River Lectures on Probability and Related Topics<\/h2>\r\nJointly organized by Harvard University, Massachusetts Institute of Technology, and Microsoft Research New England, the Charles River Lectures on Probability and Related Topics is a one-day event for the benefit of the greater Boston area mathematics community.\r\n<h3>Committee Members<\/h3>\r\n<p style=\"padding-left: 30px\">Alexei Borodin\r\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/cohn\/\">Henry Cohn<\/a>\r\nVadim Gorin\r\nElchanan Mossel\r\nPhilippe Rigollet\r\nScott Sheffield\r\nNike Sun\r\nHorng-Tzer Yau<\/p>"},{"id":1,"name":"Agenda","content":"<hr \/>\r\n\r\n<h3>Friday, October 12, 2018<\/h3>\r\n\r\n<hr \/>\r\n\r\n<table>\r\n<tbody>\r\n<tr>\r\n<td style=\"padding: 10px;border: inherit;width: 200px\"><strong>Time<\/strong><\/td>\r\n<td style=\"padding: 10px;border: inherit;width: 160px\"><strong>Speaker<\/strong><\/td>\r\n<td style=\"padding: 10px;border: inherit;width: 540px\"><strong>Title<\/strong><\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"padding: 10px;border: inherit\">9:00 AM-9:30 AM<\/td>\r\n<td style=\"padding: 10px;border: inherit\">Registration<\/td>\r\n<td style=\"padding: 10px;border: inherit\"><\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"padding: 10px;border: inherit\">9:30 AM-10:30 AM<\/td>\r\n<td style=\"padding: 10px;border: inherit\">Eyal Lubetzky<\/td>\r\n<td style=\"padding: 10px;border: inherit\"><em>Dynamics for 2D Potts\/FK models at criticality: many questions and a few answers<\/em><\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"padding: 10px;border: inherit\">10:45 AM-11:45 AM<\/td>\r\n<td style=\"padding: 10px;border: inherit\">Peter Winkler<\/td>\r\n<td style=\"padding: 10px;border: inherit\"><em>Random Permutations and the Displacement Ratio<\/em><\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"padding: 10px;border: inherit\">12:00 PM-1:30 PM<\/td>\r\n<td style=\"padding: 10px;border: inherit\">Lunch Break<\/td>\r\n<td style=\"padding: 10px;border: inherit\"><\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"padding: 10px;border: inherit\">1:30 PM-2:30 PM<\/td>\r\n<td style=\"padding: 10px;border: inherit\">Sandra Cerrai<\/td>\r\n<td style=\"padding: 10px;border: inherit\"><em>Large-time asymptotics in the Smoluchowski-Kramers approximation of infinite dimensional systems<\/em><\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"padding: 10px;border: inherit\">2:45 PM-3:45 PM<\/td>\r\n<td style=\"padding: 10px;border: inherit\">Joe Neeman<\/td>\r\n<td style=\"padding: 10px;border: inherit\"><em>The Gaussian double-bubble<\/em><\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"padding: 10px;border: inherit\">3:45 PM-4:30 PM<\/td>\r\n<td style=\"padding: 10px;border: inherit\">Break<\/td>\r\n<td style=\"padding: 10px;border: inherit\"><\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"padding: 10px;border: inherit\">4:30 PM-5:30 PM<\/td>\r\n<td style=\"padding: 10px;border: inherit\">Vadim Gorin<\/td>\r\n<td style=\"padding: 10px;border: inherit\"><em>Macroscopic fluctuations through Schur generating functions<\/em><\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>"},{"id":2,"name":"Abstracts","content":"[accordion]\r\n\r\n[panel header=\"Dynamics for 2D Potts\/FK models at criticality: many questions and a few answers\"]\r\n\r\n<strong>Eyal Lubetzky<\/strong>\r\n\r\nWe will survey recent developments and several of the many problems that remain open on the rate of convergence to equilibrium of Glauber dynamics for the Potts and FK model in Z^2 at criticality.\r\n\r\n[\/panel]\r\n\r\n[panel header=\"Random Permutations and the Displacement Ratio\"]\r\n\r\n<strong>Peter Winkler<\/strong>\r\n\r\nThe \"displacement ratio\" R is the ratio of two natural measures of how close a permutation is to the identity, and is known always to be between 1 and 2. We want to know:\u00a0 what is R for a random permutation in S_n with a given\u00a0 number m(n) of inversions?\u00a0\u00a0 The behavior of R as m(n) changes is not entirely proven but seems rather surprising.\r\n\r\nJoint work with David Bevan, U. of Strathclyde.\r\n\r\n[\/panel]\r\n\r\n[panel header=\"Large-time asymptotics in the Smoluchowski-Kramers approximation of infinite dimensional systems\"]\r\n\r\n<strong>Sandra Cerrai<\/strong>\r\n\r\nI will discuss the validity of the so-called Smoluchowski-Kramers approximation for systems with an infinite number of degrees of freedom in a finite time. Then, I will investigate the validity of such approximation for large time. In particular, I will address the problem of the convergence, in the small mass limit, of statistically invariant states for a class of semi-linear damped wave equations, perturbed by an additive Gaussian noise, with quite general nonlinearities. More precisely, I will show how the first marginals of any sequence of invariant measures for the stochastic wave equation converge in a suitable Wasserstein metric to the unique invariant measure of the limiting stochastic semi-linear parabolic equation obtained in the Smoluchowski-Kramers approximation.\r\n\r\n[\/panel]\r\n\r\n[panel header=\"The Gaussian double-bubble\"]\r\n\r\n<strong>Joe Neeman<\/strong>\r\n\r\nThe Gaussian isoperimetric inequality states that if we want to partition R^n into two sets with prescribed Gaussian measure while minimizing the Gaussian surface area of the interface between the sets, then the optimal partition is obtained by cutting R^n with a hyperplane. We prove an extension to more than two parts. For example, the optimal way to partition R^3 into three parts involves cutting along three rays that meet at 120-degree angles at a common point. This is the Gaussian analogue of the famous Double Bubble Theorem in Euclidean space, which describes the shape that results from blowing two soap bubbles and letting them stick together.\r\n\r\nJoint work with Emanuel Milman.\r\n\r\n[\/panel]\r\n\r\n[panel header=\"Macroscopic fluctuations through Schur generating functions\"]\r\n\r\n<strong>Vadim Gorin<\/strong>\r\n\r\nI will talk about a special class of large-dimensional stochastic systems with strong correlations. The main examples will be random tilings, non-colliding random walks, eigenvalues of random matrices, and measures governing decompositions of group representations into irreducible components.\r\n\r\nIt is believed that macroscopic fluctuations in such systems are universally described by log-correlated Gaussian fields. I will present an approach to handle this question based on the notion of the Schur generating function of a probability distribution, and explain how it leads to a rigorous confirmation of this belief in a variety of situations.\r\n\r\n[\/panel]\r\n\r\n[\/accordion]"}],"msr_startdate":"2018-10-12","msr_enddate":"2018-10-12","msr_event_time":"","msr_location":"Cambridge, MA","msr_event_link":"https:\/\/www.microsoftevents.com\/profile\/form\/index.cfm?PKformID=0x4788818abcd","msr_event_recording_link":"","msr_startdate_formatted":"October 12, 2018","msr_register_text":"Watch now","msr_cta_link":"https:\/\/www.microsoftevents.com\/profile\/form\/index.cfm?PKformID=0x4788818abcd","msr_cta_text":"Watch now","msr_cta_bi_name":"Event Register","featured_image_thumbnail":"<img width=\"960\" height=\"360\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2018\/08\/MSR_CharlesRiver_Graphics_1920x720.jpg\" class=\"img-object-cover\" alt=\"MSR_CharlesRiver_Graphics_1920x720\" decoding=\"async\" loading=\"lazy\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2018\/08\/MSR_CharlesRiver_Graphics_1920x720.jpg 3840w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2018\/08\/MSR_CharlesRiver_Graphics_1920x720-300x113.jpg 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2018\/08\/MSR_CharlesRiver_Graphics_1920x720-768x288.jpg 768w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2018\/08\/MSR_CharlesRiver_Graphics_1920x720-1024x384.jpg 1024w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2018\/08\/MSR_CharlesRiver_Graphics_1920x720-1920x720.jpg 1920w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2018\/08\/MSR_CharlesRiver_Graphics_1920x720-1600x600.jpg 1600w\" sizes=\"auto, (max-width: 960px) 100vw, 960px\" \/>","event_excerpt":"Jointly organized by Harvard University, Massachusetts Institute of Technology, and Microsoft Research New England, the Charles River Lectures on Probability and Related Topics is a one-day event for the benefit of the greater Boston area mathematics community.","msr_research_lab":[199563],"related-researchers":[],"msr_impact_theme":[],"related-academic-programs":[],"related-groups":[],"related-projects":[],"related-opportunities":[],"related-publications":[],"related-videos":[],"related-posts":[],"_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-event\/502529","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-event"}],"about":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/types\/msr-event"}],"version-history":[{"count":10,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-event\/502529\/revisions"}],"predecessor-version":[{"id":1147078,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-event\/502529\/revisions\/1147078"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media\/504122"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=502529"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=502529"},{"taxonomy":"msr-region","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-region?post=502529"},{"taxonomy":"msr-event-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-event-type?post=502529"},{"taxonomy":"msr-video-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video-type?post=502529"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=502529"},{"taxonomy":"msr-program-audience","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-program-audience?post=502529"},{"taxonomy":"msr-post-option","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-post-option?post=502529"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=502529"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}