KTH/CSC Optimal protocols and optimal transport in stochastic termodynamics KITPC/ITP-CAS Program Interdisciplinary Applications of Statistical Physics and Complex Networks Workshop A – March 14-15 2011 E.A., Carlos Mejia-Monasterio, Paolo Muratore-Ginanneschi [arXiv:1012.2037] March 15, 2011 Erik Aurell, KTH & Aalto University 1 KTH/CSC Nonequilbrium physics of small systems J. Liphardt et. al., Science 296, 1832, 2002 Contributions by Jarzynski, Bustamante, Cohen, Crooks, Evans, Gawedzki, Kurchan, Lebowitz, Moriss, Peliti, Ritort, Rondoni, Seifert, Spohn, and many others September 28, 2010 Erik Aurell, KTH & Aalto University 2 KTH/CSC e Fluctuation relations W e September 28, 2010 F “The free energy landscape between two equilibrium states is well related to the irreversible work required to drive the system from one state to the other” Erik Aurell, KTH & Aalto University 3 Optimal protocols KTH/CSC If you admit for single small systems (the example will follow) W dU Q W dU Q then you can optimize expected dissipated work or released heat Related to efficiency of the small system e.g. molecular machines such as kinesin or ion pumps Another motivation is the Xu Zhou, 2008 Nature blogs variance of JE S 1 W i F 2 2 W 2 F as an estimator E ( e e ) ( E e e ) S S September 28, 2010 i 1 Erik Aurell, KTH & Aalto University 4 The stochastic thermodynamics model KTH/CSC t 1 V (t , t ) 2 t V (t ; t ti ) U (t ) ~ V (t ; t t f ) U (t ) (Langevin Equation) (no control before initial time) (no control after final time) t (V ) t (t 2 t ) Q tf ti t (t 2 t ) ~ W Q U ( f ) U (i ) U March 15, 2011 (Stratonovich sense) tf W t V ( t , t ) ti Sekimoto Progr. Theor. Phys.180 (1998); Seifert PRL 95 (2005) Erik Aurell, KTH & Aalto University 5 Released heat with initial & final states KTH/CSC Pr(i [ xi , xi dxi ]) i (dxi ) Pr( f [ x f , x f dx f ]) f (dx f ) re-writing δQ with the Itô convention gives in expectation: tf S (ti ) S (t f ) Q dt 1 | b |2 1 x b ti b V ( t , t ) t S 1 (| b |2 1 b) 1 (b )S 1 2 S Optimal control, Bellman equation S ( xi , ti ) S(x f ,t f ) t m 1 x (bm) 1 2x m i (dxi ) Density evolution, forward Fokker-Planck b * March 15, 2011 R( x, t ) 1 log m( x, t ) 1 2 x R x S Erik Aurell, KTH & Aalto University f ( dx f ) 6 Optimal control b* depends both on forward and backward processes KTH/CSC t m [ t 1 2 1 2 x x ( R S )m m 1 x ( R S ) x ]S 1 2 x 1 4 2 x 2 x ( R S ) 2 ( R S ) 2 x 1 An ”instantaneous equilibrium” ansatz for the control b x R x t m (vm) 0 * 21 (S R) v x March 15, 2011 t x 1 2 Erik Aurell, KTH & Aalto University 2 0 7 Burgers equation KTH/CSC t x 1 2 March 15, 2011 Erik Aurell, KTH & Aalto University 2 0 8 Burgers is free motion if no shocks KTH/CSC 2 d x 0 2 dt solved by Hopf-Cole transformation if there are ( x a) 2 x(a) arg max[ f ( x) ] 2t and by Monge-Ampere equation if only initial and final mass distributions are known mi (a) x det( ) a m f ( x) March 15, 2011 Erik Aurell, KTH & Aalto University 9 KTH/CSC Burgers’ equation with initial and final densities is well-known in Cosmology Frisch et al Nature (2002), 417 260; Brenier et al MNRAS (2003), 346 501 x, t f a, ti ...but here we see that it comes up also in mesoscopics. Monge-Ampere equation and Hopf-Cole transformation can be combined into a minimization of quadratic cost 1 t ( x a) March 15, 2011 2 (with average over initial or final state) is minimal released heat by a small system Erik Aurell, KTH & Aalto University 10 The quadratic penalty term means MongeAmpere-Kantorovich optimal transport KTH/CSC Expected generated heat between initial and final states has one entropy change term, and one ”Burgers term” (released heat): S R 2 Q* Si S f 1 f i t ( x a) 2 This quadratic penalty term can be minimized by discretization, and looking for minimal transport cost. Similarly for minimal expected work done on the small system. W * March 15, 2011 t ~ ( x a) U U 1 log m f log mi 2 Erik Aurell, KTH & Aalto University 11 The examples of Schmiedl & Seifert KTH/CSC T. Schmiedl & U. Seifert ”Optimal Finite-time processes in stochastic thermodynamics”, Phys Rev Lett 98 (2007): 108301 Initial state in equilibrium. Final state is not fixed: final control is. U ( xi ) 1 2 xi 2 2 R( xi , ti ) xi Const. ~ U (x f ) 1 2 c 2 xf 2 2 R( x f , t f ) x f q Const. r 2 Optimizing over r and q in ”Burgers formula” for the work gives ct q ct 2 March 15, 2011 (Seifert’s ”protocol jump formula”) Erik Aurell, KTH & Aalto University 12 KTH/CSC e More complicated optimal transport to optimize protocols in stochastics W e F Estimating free energy differences using Jarzynski’s equation has statistical fluctuations – which can be minimized in the same way as for heat and work above J. Liphardt et. al., Science 296, 1832, 2002 e t March 15, 2011 1 6 2 W …with some auxiliary field t m 1 x [( x )m] 0 x 2 2x 2 x x log m 0 2 Erik Aurell, KTH & Aalto University 13 Conclusions and open problems KTH/CSC We can solve the problems of optimal protocols in the nonequilibrium physics of small systems The solutions are in terms of optimal (deterministic) transport. For released heat or dissipated work, the optimal transport problem is Burgers equation and mass transport by the Burgers Field. Very efficient methods have been worked out in Cosmology. What do shocks and caustics in the optimal control problem mean for stochastic thermodynamics? Does any of this generalize to other systems e.g. jump processes? September 28, 2010 Erik Aurell, KTH & Aalto University 14 KTH/CSC Thanks to Carlos Meija-Monasteiro Paolo Muratore-Ginanneschi Ralf Eichhorn Stefano Bo March 15, 2011 Erik Aurell, KTH & Aalto University 15
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