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UID:46abb2d7c6cff1ade2fc6530199eb45c
CATEGORIES:Graduate Student Combinatorics Seminar Sponsored by DIMACS
CREATED:20241108T115313
SUMMARY:Entropy: the basic method and some quick applications to combinatorics.
LOCATION:HLL-701
DESCRIPTION:
CONTACT:Caleb Fong
X-EXTRAINFO: Abstract:  The entropy of a random variable is a quantity that represents 
 'the average amount of surprise' in observing an outcome. Originally introd
 uced by Claude Shannon as a tool for studying communications and informatio
 n theory, entropy methods have in the past few decades also found a permane
 nt(!) home in the world of probabilistic combinatorics. This talk will assu
 me no background, so we will spend some time on the basics. (See Galvin's t
 utorial notes if you want to read ahead: https://arxiv.org/pdf/1406.7872 .)
 \n
DTSTAMP:20260827T113123
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SEQUENCE:0
TRANSP:OPAQUE
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