Mathematical Physics Seminar
Relative Entropy Principles with Complex Measures
Location: Hill 705
Date & time: Thursday, 15 September 2016 at 2:00PM - 2:11PM
Michael Kiessling, Rutgers University :The notion of relative entropy for probabilitiy measures relative to a given a-priori probability measure is generalized to signed and complex measures relative to a given a-priori signed measure. This generalization is motivated by some problems at the intersection of statistical mechanics and differential geometry. Computer algebra-produced evidence for the utility of this new notion is presented using the example of complex random polynomials.