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Stochastic Thermodynamics with Martingales Izaak Neri, Workshop on Martingales in Finance and Physics, 24th of May 2019 13 Mar 2018 Contributions Statistical physics Edgar Roldn (Trieste) Frank Jlicher (Dresden) Simone Pigolotti


  1. Stochastic Thermodynamics with Martingales Izaak Neri, Workshop on Martingales 
 in Finance and Physics, 24th of May 2019 13 Mar 2018

  2. Contributions Statistical physics Edgar Roldán (Trieste) Frank Jülicher (Dresden) Simone Pigolotti (Okinawa) Shamik Gupta (Calcutta) Raphaël Chétrite (Nice) Information theory Meik Dörpinghaus (Dresden) Heinrich Meyr (Aachen)

  3. Structure of the talk 1. Introduction to stochastic thermodynamics 2.Exponential martingale structure of entropy production 4. Universal properties 
 3.Thermodynamic laws 
 of entropy production at stopping times 5. Example: overdamped Langevin processes

  4. Introduction to stochastic thermodynamics

  5. Thermodynamics of mesoscopic systems or stochastic thermodynamics colloidal particles 
 Thermodynamics: diffusive systems

  6. Thermodynamics of mesoscopic systems or stochastic thermodynamics colloidal particles 
 Thermodynamics: diffusive systems Stochastic 
 = + thermodynamics: = + +

  7. Local detailed balance and stochastic entropy production U Seifert, Rep. Prog. Phys. (2012 )

  8. Local detailed balance and stochastic entropy production where U Seifert, Rep. Prog. Phys. (2012 )

  9. Thermodynamic laws for mesoscopic processes Integral fluctuation relation:

  10. Thermodynamic laws for mesoscopic processes Integral fluctuation relation: Implications Events of negative entropy production must exist U Seifert, Rep. Prog. Phys. (2012 )

  11. Exponential martingale structure 
 of entropy production

  12. Martingales M(t) is a martingale with respect to X(t) if: M(t) is a real-valued function on X(0…t) , for all s<t

  13. For stationary processes the exponential of the negative entropy production is a martingale IN, Edgar Roldan, Frank Julicher, Phys. Rev. X (2017)

  14. For stationary processes the exponential of the negative entropy production is a martingale IN, Edgar Roldan, Frank Julicher, Phys. Rev. X (2017)

  15. For stationary processes the exponential of the negative entropy production is a martingale p ( X (0 . . . t )) p ( X (0 . . . t )) ˜ X = p ( X (0 . . . s )) p ( X (0 . . . t )) X ( s + ...t ) IN, Edgar Roldan, Frank Julicher, Phys. Rev. X (2017)

  16. For stationary processes the exponential of the negative entropy production is a martingale p ( X (0 . . . t )) p ( X (0 . . . t )) ˜ X = p ( X (0 . . . s )) p ( X (0 . . . t )) X ( s + ...t ) IN, Edgar Roldan, Frank Julicher, Phys. Rev. X (2017)

  17. For stationary processes the exponential of the negative entropy production is a martingale p ( X (0 . . . t )) p ( X (0 . . . t )) ˜ X = p ( X (0 . . . s )) p ( X (0 . . . t )) X ( s + ...t ) IN, Edgar Roldan, Frank Julicher, Phys. Rev. X (2017)

  18. For stationary processes the exponential of the negative entropy production is a martingale p ( X (0 . . . t )) p ( X (0 . . . t )) ˜ X = p ( X (0 . . . s )) p ( X (0 . . . t )) X ( s + ...t ) IN, Edgar Roldan, Frank Julicher, Phys. Rev. X (2017)

  19. Thermodynamic laws at stopping times

  20. Can a gambler make fortune in a fair game by quitting at an intelligently chosen moment? 1.5 1.5 1 1 0.5 0.5 0 0 -0.5 -0.5 -1 -1 -1.5 -1.5 0 1 2 3 4 0 2 4 6 8 10 Gambler makes profit Gambler on average makes no profit

  21. Can a gambler make fortune in a fair game by quitting at an intelligently chosen moment? No, if the gambler cannot foresee the future, cannot cheat, 
 and has access to a finite budget

  22. Can a gambler make fortune in a fair game by quitting at an intelligently chosen moment? T is a stopping time No, if the gambler cannot foresee the future, cannot cheat, 
 and has access to a finite budget

  23. Can a gambler make fortune in a fair game by quitting at an intelligently chosen moment? T is a stopping time No, if the gambler cannot foresee the future, cannot cheat, 
 and has access to a finite budget M(t) is uniformly integrable

  24. Can a gambler make fortune in a fair game by quitting at an intelligently chosen moment? T is a stopping time No, if the gambler cannot foresee the future, cannot cheat, 
 and has access to a finite budget M(t) is uniformly integrable Doob’s optional stopping theorem if M(t) is uniformly integrable martingale and and T is a stopping time R S Lipster and A N Shiryaev, Statistics of random processes: I General theory, 1977

  25. Integral fluctuation relations for entropy production at stopping times IN, E Roldan, S Pigolotti, F Julicher, arXiv (2019)

  26. Integral fluctuation relations for entropy production at stopping times Finite time windows IN, E Roldan, S Pigolotti, F Julicher, arXiv (2019)

  27. Integral fluctuation relations for entropy production at stopping times Finite time windows Infinite time windows if and IN, E Roldan, S Pigolotti, F Julicher, arXiv (2019)

  28. Second law of thermodynamics at stopping times Jensen’s Inequality

  29. Second law of thermodynamics at stopping times Jensen’s Inequality

  30. Second law of thermodynamics at stopping times Jensen’s Inequality For isothermal processes:

  31. Universal properties of entropy production

  32. Universal properties of entropy production (for continuous stochastic processes)

  33. Splitting probabilities of the entropy production 
 b) Entropy production Time 0 - =

  34. Splitting probabilities of the entropy production 
 b) Entropy production Time 0 - =

  35. Splitting probabilities of the entropy production 
 b) Entropy production Time 0 - =

  36. Splitting probabilities of the entropy production 
 b) Entropy production Time 0 - =

  37. The statistics of minima of the entropy production of continuous stationary processes are universal Entropy production 0 Time − 1 IN, Edgar Roldán, Frank Jülicher, Phys. Rev. X 7, 011019

  38. The statistics of minima of the entropy production of continuous stationary processes are universal Entropy production 0 Time − 1 IN, Edgar Roldán, Frank Jülicher, Phys. Rev. X 7, 011019

  39. The statistics of minima of the entropy production of continuous stationary processes are universal Entropy production 0 Time − 1 IN, Edgar Roldán, Frank Jülicher, Phys. Rev. X 7, 011019

  40. Bounds on negative fluctuations of entropy production: “standard” thermodynamics vs martingale theory U Seifert, Rep. Prog. Phys. (2012 ) IN, E Roldan, S Pigolotti, F Julicher, arXiv (2019)

  41. Symmetry relation in the conditional distributions 
 of first-passage times for entropy production b) Entropy production Time 0 - = IN, Edgar Roldán, Frank Jülicher, Phys. Rev. X 7, 011019 Meik Dorpinghaus, IN, Edgar Roldan, Frank Julicher, Heinrich Meyer, arXiv

  42. Symmetry relation in the conditional distributions 
 of first-passage times for entropy production IN, Edgar Roldán, Frank Jülicher, Phys. Rev. X 7, 011019 Meik Dorpinghaus, IN, Edgar Roldan, Frank Julicher, Heinrich Meyer, arXiv

  43. Duality in first-passage times

  44. Duality in first-passage times

  45. Continuous 
 processes

  46. Processes 
 Continuous 
 with jumps processes ???

  47. Example: overdamped Langevin processes

  48. First law of thermodynamics for overdamped Langevin process System set-up ,

  49. First law of thermodynamics for overdamped Langevin process System set-up Ito product ,

  50. First law of thermodynamics for overdamped Langevin process System set-up Ito product , First law of thermodynamics , K Sekimoto, Prog. Theory. Phys. Suppl. 130 , 17 (1998)

  51. First law of thermodynamics for overdamped Langevin process System set-up Ito product , First law of thermodynamics Stratanovich 
 , product K Sekimoto, Prog. Theory. Phys. Suppl. 130 , 17 (1998)

  52. Second law of thermodynamics for overdamped Langevin process Definition of entropy production: where Udo Seifert, Physical review letters (2005)

  53. Second law of thermodynamics for overdamped Langevin process Definition of entropy production: where Udo Seifert, Physical review letters (2005)

  54. Second law of thermodynamics for overdamped Langevin process Definition of entropy production: where Udo Seifert, Physical review letters (2005) Rules of stochastic calculus imply: , ,

  55. Second law of thermodynamics for overdamped Langevin process Definition of entropy production: where Udo Seifert, Physical review letters (2005) Rules of stochastic calculus imply: , ,

  56. Second law of thermodynamics for overdamped Langevin process Definition of entropy production: where Udo Seifert, Physical review letters (2005) Rules of stochastic calculus imply: , ,

  57. Exponential martingale structure of entropy production , S. Pigolotti, IN, E. Roldán, and F. Jülicher, Phys. Rev. Lett. 119 , 140604

  58. Exponential martingale structure of entropy production , S. Pigolotti, IN, E. Roldán, and F. Jülicher, Phys. Rev. Lett. 119 , 140604

  59. Exponential martingale structure of entropy production , S. Pigolotti, IN, E. Roldán, and F. Jülicher, Phys. Rev. Lett. 119 , 140604

  60. Exponential martingale structure of entropy production , S. Pigolotti, IN, E. Roldán, and F. Jülicher, Phys. Rev. Lett. 119 , 140604

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