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Introduction
2
What is stochastic thermodynamics
3
Why is stochastic thermodynamics important
4
Speed Limits
5
Global 3 Limit Theorem
6
Multiparty Processes
7
Numerical Example
8
Numerical Results
9
Diagonal Line
10
Living Systems
11
State Space
12
Dynamical Activity
13
Subsystem Contributions
14
Subsystem EP Rate
Description:
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.

Thermodynamic Speed Limits for Multiple, Coevolving Subsystems

Santa Fe Institute
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