Overview
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Explore a lecture on thermodynamic speed limits for multiple, coevolving subsystems presented by Farita Tasnim from the Massachusetts Institute of Technology. Delve into the concept of lower bounds on the time required for systems evolving according to continuous-time Markov processes to travel between distributions. Examine how these bounds are formulated using entropy production and dynamical activity. Discover how the multipartite nature of composite systems leads to tighter bounds on evolution speed. Follow along with a numerical example of a continuous-time Markov chain capturing cell sensing dynamics. Gain insights into stochastic thermodynamics, the Global 3 Limit Theorem, multiparty processes, and their applications to living systems. Investigate concepts such as state space, dynamical activity, subsystem contributions, and subsystem EP rates.
Syllabus
Introduction
What is stochastic thermodynamics
Why is stochastic thermodynamics important
Speed Limits
Global 3 Limit Theorem
Multiparty Processes
Numerical Example
Numerical Results
Diagonal Line
Living Systems
State Space
Dynamical Activity
Subsystem Contributions
Subsystem EP Rate
Taught by
Santa Fe Institute