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SUMMARY:Information and control out of equilibrium - Luca Cocconi\, Max Pl
 anck Insitute for Dynamics and Self-Organization
DTSTART:20251118T130000Z
DTEND:20251118T140000Z
UID:TALK238963@talks.cam.ac.uk
CONTACT:Tal Agranov
DESCRIPTION:Whether externally manipulated or autonomously controlled\, sy
 stems driven out of thermodynamic equilibrium often display features that 
 are most naturally described in the language of information theory. Such a
  connection is immediately established at the level of the entropy product
 ion\, which is linked via the fluctuation theorem of stochastic thermodyna
 mics to the informatic distinguishability of the ensembles of forward path
 s and their time reverse\, i.e.\, to the (resolution-dependent) arrow of t
 ime. In this talk I will discuss two recent works at the intersection of n
 onequilibrium information and control theory: in the first\, I will demons
 trate how mutual information provides a natural cost function to describe 
 mixing at low Reynolds number and show that a variational approach may be 
 employed to derive analytical thermodynamic bounds reminiscent of the Land
 auer bound for irreversible computation\; in the second\, I will discuss t
 he energetics of a generalization of the Active Brownian Particle\, a cano
 nical model in motile active matter\, showing how the multi-objective opti
 mization problem of balancing the cost of information-processing and actua
 tion leads to the emergence of nontrivial Pareto fronts\, i.e. of precisio
 n-dissipation tradeoffs. 
LOCATION:Center for Mathematical Sciences\, Lecture room MR4.
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