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First passage fluctuation relations ruled by cycles affinities F. Cornu joint work with M. Bauer Laboratoire de Physique Thorique, Orsay Institut de Physique Thorique, CEA Saclay J. Stat. Phys. (2014) 155 703 STOCHASTIC


  1. First passage fluctuation relations ruled by cycles affinities F. Cornu ⋆ joint work with M. Bauer ⋆⋆ ⋆ Laboratoire de Physique Théorique, Orsay ⋆⋆ Institut de Physique Théorique, CEA Saclay J. Stat. Phys. (2014) 155 703

  2. STOCHASTIC PROCESSES OF INTEREST Semi-Markovian property Bauer & Cornu : First passage FR & cycle affinities Semi-Markovian processes Firenze, 2014/05/30 2 / 30

  3. 1.1 Example of processes of interest : a bacterial ratchet motor Di Leonardo & al. PNAS, 107 9541 (2010) • Experiment : asymmetric gear (diameter : 48 µ m , thickness 10 µ m ) in active bath of self-propelling bacteriae. α t : angle of black spot position at time t � α t t � = 1 revolution per minute • Physical mechanism • perpendicular wall reaction reorients bacteria motion • either bacteria slides to corner − → gets stuck − → torque or bacteria slides away from corner − → no torque white "head" : self-propulsion direction Bauer & Cornu : First passage FR & cycle affinities Semi-Markovian processes Firenze, 2014/05/30 3 / 30

  4. 1.2 Modelization by a finite state semi-Markovian process • Finite number of configurations C m : discretized values of angle α of black spot position : C m ≡ α m = m 2 π/ M • Semi-Markovian process (or generalized renewal sequence ) : � � ( C 0 , τ 0 ) , ( C , τ 0 + τ ) , ( C ′ , τ 0 + τ + τ ′ ) , . . . History : After a waiting time τ distributed with probability P C ( τ ) , system jumps from C to C ′ with probability ( C ′ | P |C ) ( P stochastic matrix with quantum mechanics convention for sense of evolution) Bauer & Cornu : First passage FR & cycle affinities Semi-Markovian processes Firenze, 2014/05/30 4 / 30

  5. 1.2 Modelization by a finite state semi-Markovian process • Finite number of configurations C m : discretized values of angle α of black spot position : C m ≡ α m = m 2 π/ M • Semi-Markovian process (or generalized renewal sequence ) : � � ( C 0 , τ 0 ) , ( C , τ 0 + τ ) , ( C ′ , τ 0 + τ + τ ′ ) , . . . History : After a waiting time τ distributed with probability P C ( τ ) , system jumps from C to C ′ with probability ( C ′ | P |C ) ( P stochastic matrix with quantum mechanics convention for sense of evolution) • Graph representation : � configuration C vertex • : weight for waiting time at C : - P 0 C ( τ ) if C initial configuration of history - P C ( τ ) otherwise bond —– : probability ( C ′ | P |C ) to jump from C to C ′ when a jump is known to occur and probability ( C| P |C ′ ) of reverse jump Bauer & Cornu : First passage FR & cycle affinities Semi-Markovian processes Firenze, 2014/05/30 4 / 30

  6. 1.3 Questions 1) Probability that the cycle be performed at least once in positive (negative) sense in a infinite time interval ? 2) Fluctuation relation for first passage time at winding number +1 or -1 ? winding number = number of revolutions in the positive sense minus number of revolutions in the opposite sense Answers use affinity concept Bauer & Cornu : First passage FR & cycle affinities Semi-Markovian processes Firenze, 2014/05/30 5 / 30

  7. AFFINITY and ENTROPY PRODUCTION RATE Known results for Markovian processes Bauer & Cornu : First passage FR & cycle affinities Affinity Firenze, 2014/05/30 6 / 30

  8. 2.1 Specific case : Markovian processes • Markov property : specific form for probability of waiting time τ in configuration C : exponential P C ( τ ) = r ( C ) e − r ( C ) τ r ( C ) escape rate from C = inverse mean waiting time at C • From a Markov chain to a Markov process : ( C ′ | P |C ) probability to jump from C to C ′ knowing that system jumps out of C → ( C ′ | W |C ) dt probability to jump from C to C ′ during dt − • Master equation for evolution of probability P ( C ; t ) of configuration C at t � dP ( C ; t ) [( C| W |C ′ ) P ( C ′ ; t ) − ( C ′ | W |C ) P ( C ; t )] = dt C ′ � = C • Microreversibility hypothesis : ( C ′ | W |C ) � = 0 ( C| W |C ′ ) � = 0 ⇔ Bauer & Cornu : First passage FR & cycle affinities Affinity Firenze, 2014/05/30 7 / 30

  9. 2.2 Shannon-Gibbs entropy evolution and irreversibility • Dimensionless Shannon-Gibbs entropy ( k B = 1) � SG [ P ( t )] ≡ − S P ( C ; t ) ln P ( C ; t ) C � dS SG ( C ′ | W |C ) P ( C ; t ) ln P ( C ; t ) = P ( C ′ ; t ) dt C , C ′ Bauer & Cornu : First passage FR & cycle affinities Affinity Firenze, 2014/05/30 8 / 30

  10. 2.2 Shannon-Gibbs entropy evolution and irreversibility • Dimensionless Shannon-Gibbs entropy ( k B = 1) � SG [ P ( t )] ≡ − S P ( C ; t ) ln P ( C ; t ) C � dS SG ( C ′ | W |C ) P ( C ; t ) ln P ( C ; t ) = P ( C ′ ; t ) dt C , C ′ • Analogy with phenomenological thermodynamics of irreversible processes [Schnakenberg 1976] dS SG = d exch S SG + d irr S SG dt dt dt � ( C ′ | W |C ) P ( C ; t ) ln ( C ′ | W |C ) d exch S SG ≡ − with no definite sign ( C| W |C ′ ) dt C , C ′ � [( C ′ | W |C ) P ( C ; t ) − ( C| W |C ′ ) P ( C ′ ; t )] ln ( C ′ | W |C ) P ( C ; t ) d irr S SG ≡ 1 ( C| W |C ′ ) P ( C ′ ; t ) ≥ 0 dt 2 C , C ′ d irr S SG : irreversible entropy production rate dt Bauer & Cornu : First passage FR & cycle affinities Affinity Firenze, 2014/05/30 8 / 30

  11. 2.3 Comparison with kinetic theory : affinity of a chemical reaction (a) • In a vessel with walls at inverse temperature β and exerting pressure P , one introduces species A and B prepared separately at ( β, P ) reversible reaction : A ⇋ B • Phenomenological thermodynamics of irreversible processes d irr S ph dn A ⇋ B B = β ( µ A − µ B ) × � �� � dt dt � �� � � �� � entropy production rate affinity A A ⇋ B reaction extent rate J A ⇋ B µ i chemical potential ( i = A , B , n i : molecule concentration for species i ) Bauer & Cornu : First passage FR & cycle affinities Affinity Firenze, 2014/05/30 9 / 30

  12. 2.3 Comparison with kinetic theory : affinity of a chemical reaction (a) • In a vessel with walls at inverse temperature β and exerting pressure P , one introduces species A and B prepared separately at ( β, P ) reversible reaction : A ⇋ B • Phenomenological thermodynamics of irreversible processes d irr S ph dn A ⇋ B B = β ( µ A − µ B ) × � �� � dt dt � �� � � �� � entropy production rate affinity A A ⇋ B reaction extent rate J A ⇋ B µ i chemical potential ( i = A , B , n i : molecule concentration for species i ) • Kinetic theory : dn A ⇋ B B = k B ← A n A − k A ← B n B with k j ← i : kinetic constants dt • Thermodynamics of ideal solutions : n i ∝ e βµ i and µ eq A = µ eq B → β ( µ A − µ B ) = ln k B ← A n A k A ← B n B Bauer & Cornu : First passage FR & cycle affinities Affinity Firenze, 2014/05/30 9 / 30

  13. 2.3 Comparison with kinetic theory : affinity of a chemical reaction (b) • Correspondance: concentration n i ( t ) − → P ( C ; t ) configuration probability → ( C ′ | W |C ) transition rate kinetic constant k j ← i − � − → Rewriting d irr S SG = 1 J C ⇋ C ′ A C ⇋ C ′ dt 2 C , C ′ J C ⇋ C ′ ≡ ( C ′ | W |C ) P ( C ; t ) − ( C| W |C ′ ) P ( C ′ ; t ) bond current A C ⇋ C ′ ≡ ln ( C ′ | W |C ) P ( C ; t ) bond affinity ( C| W |C ′ ) P ( C ′ ; t ) Bauer & Cornu : First passage FR & cycle affinities Affinity Firenze, 2014/05/30 10 / 30

  14. 2.4 Affinity for a master equation corresponding to a graph made of a single cycle • Representation of a master equation by a graph Graph G : vertex • : configuration C bond —– : transtion rates ( C ′ | W |C ) and ( C| W |C ′ ) • Case where graph G is a cycle C of M vertices . Fixed orientation along C with C M + 1 ≡ C 1 M � ( C m + 1 | W |C m ) P ( C m ; t ) cycle affinity A C ≡ A C m ⇋ C m + 1 with A C m ⇋ C m + 1 ≡ ln ( C m | W |C m + 1 ) P ( C m + 1 ; t ) m = 1 M � ( C m + 1 | W |C m ) A C = ln independent from P ( C , t ) ( C m | W |C m + 1 ) m = 1 Bauer & Cornu : First passage FR & cycle affinities Affinity Firenze, 2014/05/30 11 / 30

  15. 2.4 Affinity for a master equation corresponding to a graph made of a single cycle • Representation of a master equation by a graph Graph G : vertex • : configuration C bond —– : transtion rates ( C ′ | W |C ) and ( C| W |C ′ ) • Case where graph G is a cycle C of M vertices . Fixed orientation along C with C M + 1 ≡ C 1 M � ( C m + 1 | W |C m ) P ( C m ; t ) cycle affinity A C ≡ A C m ⇋ C m + 1 with A C m ⇋ C m + 1 ≡ ln ( C m | W |C m + 1 ) P ( C m + 1 ; t ) m = 1 M � ( C m + 1 | W |C m ) A C = ln independent from P ( C , t ) ( C m | W |C m + 1 ) m = 1 • Property of stationary state P st ( C ) Cycle current : J C [ P st ] ≡ J C 1 ⇋ C 2 [ P st ] = J C 2 ⇋ C 3 [ P st ] = · · · � � d irr S SG � Entropy production rate: = J C [ P st ] A C � dt P st Bauer & Cornu : First passage FR & cycle affinities Affinity Firenze, 2014/05/30 11 / 30

  16. 2.5 Affinity class in graph theory • Exchange processes in configuration jumps ↔ antisymmetric matrices - S for the exchange entropy variation - A for the affinity variation ( C ′ | S |C ) ≡ ln ( C ′ | W |C ) ( C ′ | A [ P ] |C ) ≡ ln ( C ′ | W |C ) P ( C ; t ) and ( C| W |C ′ ) P ( C ′ ; t ) ≡ A C ⇋ C ′ ( C| W |C ′ ) Bauer & Cornu : First passage FR & cycle affinities Affinity Firenze, 2014/05/30 12 / 30

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