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Pathwise Information Theory in Two DimensionsStudent-Run Applied & Math Seminar
|Speaker: ||Jordan Snyder, UC Davis|
|Location: ||2112 MSB|
|Start time: ||Wed, Nov 26 2014, 12:10PM|
We consider an approach to extending Information Theory to spatially extended systems based on computing information quantities along collections of self-avoiding walks on the underlying lattice. Several test cases are analyzed and techniques are proposed for extracting geometric information from pathwise information quantities. Finally, we consider some data sets of physical interest (2D Ising model) and discuss possible generalizations.