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Information Theory, Statistical Mechanics, and Predicting Jupiter’s Red Spot


Speaker: Andrew J. Majda, Courant Institute of Mathematical Sciences
Location: 1147 MSB
Start time: Fri, Apr 21 2006, 4:10PM

application of these ideas to predict coherent structures in flows with random forcing and dissipation is then discussed briefly including the first theorem (Xiaoming Wang and Majda, CPAM 2006) justifying the approach. All of this is utilized to develop a successful prediction for the exact location and structure of Jupiter’s Red Spot in agreement with the Voyager Mission of the 1970’s by utilizing a physically based prior encoding the key features of small scale observations from the Galileo mission of the 1990’s. An apriori independent justification of this overall strategy is presented though novel numerical methods for detecting statistically relevant conserved quantities in fluid flow (Abramov and Majda, 2003, 2004.)

Joint with Applied Math Seminar - note special time