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UID:20260610T024010EDT-0554LXsdOb@132.216.98.100
DTSTAMP:20260610T064010Z
DESCRIPTION:Title: Quantitative stochastic homogenization of linear ellipti
 c PDE\n	\n	Abstract: I will discuss the large-scale asymptotics of solutions
  of linear elliptic equations with random coefficients. It is well-known t
 hat solutions converge (in the limit of scale separation) to those of a de
 terministic equation\, a kind of law of large numbers result called 'homog
 enization'. In recent years obtaining quantitative information about this 
 convergence has attracted a lot of attention\, which lead to the developme
 nt of new tools from analysis and probability. I will give an overview of 
 one such approach to the topic based on variational methods\, elliptic reg
 ularity\, and ``renormalization-group'' arguments. \n\n \n
DTSTART:20180319T200000Z
DTEND:20180319T210000Z
LOCATION:Room 920\, Burnside Hall\, CA\, QC\, Montreal\, H3A 0B9\, 805 rue 
 Sherbrooke Ouest
SUMMARY:Scott Armstrong (Courant Institute of Mathematical Sciences (NYU))
URL:https://www.mcgill.ca/mathstat/channels/event/scott-armstrong-courant-i
 nstitute-mathematical-sciences-nyu-285754
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