BEGIN:VCALENDAR
VERSION:2.0
METHOD:PUBLISH
CALSCALE:GREGORIAN
PRODID:-//WordPress - MECv6.5.6//EN
X-ORIGINAL-URL:https://cmc.deusto.eus/
X-WR-CALNAME:cmc.deusto.eus
X-WR-CALDESC:DeustoCCM - Chair of Computational Mathematics at University of Deusto
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-PUBLISHED-TTL:PT1H
X-MS-OLK-FORCEINSPECTOROPEN:TRUE
BEGIN:VEVENT
CLASS:PUBLIC
UID:MEC-a0e60a138fbb31f5fbea2fb761e30c69@cmc.deusto.eus
DTSTART:20221207T160000Z
DTEND:20221207T170000Z
DTSTAMP:20251031T223200Z
CREATED:20251031
LAST-MODIFIED:20251031
PRIORITY:5
TRANSP:OPAQUE
SUMMARY:Gaussian random interface models and discrete Green’s functions
DESCRIPTION:Next Wednesday, December 07, 2022:\nEvent: FAU DCN-AvH Seminar\nOrganized by: FAU DCN-AvH, Chair for Dynamics, Control and Numerics – Alexander von Humboldt Professorship at FAU, Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany)\nTitle: Gaussian random interface models and discrete Green’s functions\nSpeaker: Dr. Florian Schweiger\nAffiliation: Weizmann Institute of Science (Israel)\nAbstract. Random interface models describe microscopic fluctuations of the boundary layer between two different substances. Mathematically, they are given by a probability measure on a suitable space of height functions on a lattice. In several important cases, this measure is Gaussian, and its covariance can be understood as the Green’s function of the discretization of some elliptic differential operator.\nIn the talk, I will explain this connection and discuss various examples. I will then describe how one can obtain estimates for these Green’s functions using tools from PDE theory and numerical analysis, and how these estimates can be used to establish some properties of the corresponding interface model.\nWHERE?\nOnline:\nZoom meeting link\nMeeting ID: 614 4658 159 | PIN code: 914397\nThis event on LinkedIn\n
URL:https://cmc.deusto.eus/events-calendar/gaussian-random-interface-models-and-discrete-greens-functions/
ORGANIZER;CN=FAU DCN-AvH:MAILTO:
CATEGORIES:FAU DCN-AvH Seminar,Seminar/Talk
LOCATION:DDS, Friedrich-Alexander-Universität Erlangen-Nürnberg
ATTACH;FMTTYPE=image/png:https://cmc.deusto.eus/wp-content/uploads/FAUDCNAvH-seminar-07dic2022-fSchweiger.png
END:VEVENT
END:VCALENDAR