Entropy production in irreversible systems described by a Fokker-Planck equation

Size: px
Start display at page:

Download "Entropy production in irreversible systems described by a Fokker-Planck equation"

Transcription

1 Entropy proucton n rreversble systems escrbe by a Fokker-Planck equaton Tâna Tomé an Máro J. e Olvera Insttuto e Físca Unversae e São Paulo Caxa postal São Paulo- SP, Brazl (Date: July 3, 010) We analyze the rreversblty an the entropy proucton n nonequlbrum nteractng partcle systems escrbe by a Fokker-Planck equaton by the use of a sutable master equaton representaton. The rreversble character s prove ether by nonconservatve forces or by the contact wth heat baths at stnct temperatures. The expresson for the entropy proucton s euce from a general efnton, whch s relate to the probablty of a trajectory n phase space an ts tme reversal, that makes no reference a pror to the sspate power. Our formalsm s apple to calculate the heat conuctance n a smple system consstng of two Brownan partcles each one n contact to a heat reservor. We show also the connecton between the efnton of entropy proucton rate an the Jarzynsk equalty. PACS numbers: Ln, Jc, 0.50.Ga I. INTRODUCTION A thermoynamc system n a statonary state s characterze by havng ts propertes such as energy an entropy nvarant n tme. In ths regme, there can be no flow of a conserve quantty such as energy to or from the outse because t cannot be create. However, there mght be a flow of a nonconserve quantty such as the entropy. The flux of entropy to the outse wll be equal to the entropy spontaneously generate nse the system. Only n thermoynamc equlbrum there wll be no proucton of entropy. A nonequlbrum thermoynamc system n the statonary state s thus characterze by a contnuous proucton of entropy. In a transent state, the change n the entropy s not only ue to the entropy flow but s also ue to the spontaneous generaton of entropy wthn the system so that, n general, the tme ervatve of the entropy S of a system can be splt nto two parts [1 3] t = Π Φ, (1) where Π s the entropy proucton rate, whch s always nonnegatve, an Φ s the entropy flux rate from the system to the envronment. In the statonary regme, the entropy rate /t vanshes an Π = Φ. If n aton the system s out of equlbrum then Π = Φ > 0; f t s n equlbrum Π = Φ = 0. The quantty Φ, efne as the flux rate from nse to outse of the system, wll be postve n the nonequlbrum statonary state. The constructon of a mcroscopc theory of nonequlbrum thermoynamc systems s face wth two major problems relate to entropy. The frst concerns the efnton of nonequlbrum entropy an the secon the efnton of entropy proucton. For systems n equlbrum, the entropy S s relate to the probablty P(η) of fnng the system n a certan state η by the well known Boltzmann-Gbbs expresson S = η P(η)lnP(η). () For nonequlbrum systems, escrbe by a tme epenent probablty strbuton P(η,t), t s natural to exten the Boltzmann-Gbbs expresson to these systems. The out-of-equlbrum tme-epenent entropy S(t) s then efne by S(t) = η P(η,t)ln P(η,t), (3) an therefore vares n tme accorng to the specfc ynamcs that governs the evoluton of the probablty strbuton P(η, t). The secon problem, the efnton of entropy proucton rate Π, s equvalent to the problem of efnng the entropy flux rate Φ snce these two quanttes are relate wth each other by means of (1). These two quanttes shoul necessarly be relate to the tme evoluton of P(η,t) an therefore cannot be efne n terms of P(η,t) alone. We nee to known the ynamcs that governs ts tme evoluton. We assume that the system evolves n tme accorng to a Markovan process on a scretze phase space, efne by a transton rate W(η η) from state η to state η. Wthn ths framework, Φ an Π wll be relate to W. The tme evoluton of the probablty strbuton s assume to be governe by the master equaton [4, 5] where t P(η,t) = η J (η η,t), (4) J (η η,t) = W(η η )P(η,t) W(η η)p(η,t) (5) s the probablty current. Here we wll be concerne manly wth the stuy of the Fokker-Planck equaton [4 6] whch we regar as comng from an approprate contnuous lmt of the master equaton (4), as we shall see.

2 From the probablty current, one etermnes the flux rate Φ E of any state functon E(η), whch s Φ E (t) = η,η J (η η,t)e(η), (6) an clearly vanshes n the statonary state as t shoul. A natural way to efne the entropy flux rate s as follows Φ(t) = η,η J (η η,t)ln W(η η). (7) From ths efnton we see mmeately by means of (1), (3) an (4) that the entropy proucton rate s gven by Π(t) = η,η J (η η,t)ln[w(η η)p(η,t)], (8) an expresson that s always nonnegatve an equvalent to that ntrouce by Schnakenberg [7]. In thermoynamc equlbrum, when mcroscopc reversblty takes place, J vanshes an both Φ an Π vansh as well. It worth mentonng that ths efnton of entropy proucton makes no a pror reference to any thermoynamc quantty such as sspate energy as s usually one. It s a unversal efnton n the same sense as the efnton of entropy (3) s unversal. The proucton of entropy n systems escrbe by a stochastc process or by a master equaton has been the subject of several stues [8 5]. Ths nclues the numercal calculaton of entropy proucton n nonequlbrum lattce gas moels [16]. Here we are concerne wth the proucton of entropy n nonequlbrum nteractng partcle systems escrbe by Langevn equatons or, n an equvalent way, by the assocate Fokker- Planck equaton, whch s the approprate framework to escrbe nonequlbrum system uner temperature graents [10, 5]. Our man purpose here s to use expressons (7) an (8) to etermne the entropy flux rate Φ an the entropy proucton rate Π n rreversble systems escrbe by Langevn equatons. The proucton of entropy n systems escrbe by Langevn equatons n the overampe lmt has been prevously stue [17, 18]. Here we conser the general case. Systems escrbe by a Fokker-Planck [4 6] equaton follows a Markovan process n contnuous tme an contnuous confguraton space. The rreversble character comes from the type of forces enterng the Langevn equatons or from the type of contact of the system wth the envronment. As we shall see, f the system s n contact wth a heat reservor that keeps the temperature T constant but the forces are nonconservatve the resultng entropy proucton rate s strctly postve. We wll show that n ths case the sspate power P s relate to the entropy proucton rate by Π = P/T, whch s a fluctuaton sspaton type relaton. When the forces become conservatve but the system s n contact wth more than one heat reservors at stnct temperatures the resultng entropy proucton rate s also nonzero. We apply the results obtane here to a smple system of ths type consstng of two Brownan partcles connecte wth each other by a harmonc force an each one to heat baths at stnct temperatures [6, 7]. Whenever the temperatures are stnct there wll be a heat flow through the system from one reservor to the other. By calculatng the proucton of entropy we etermne the thermal conuctance. Although the forces are conservatve, the fference n temperatures keeps the system n a nonequlbrum state. The proucton of entropy vanshes only when the forces are conservatve an the system s n contact wth only one heat bath. We use the expressons (7) an (8) for the entropy flux an entropy proucton to etermne an equalty of the Jarzynsk type [8 3]. Ths s carre out by conserng the rato of the probablty of a gven trajectory n phase space an the probablty of the tme reversal trajectory. II. FOKKER-PLANCK EQUATION A. Langevn equatons We conser a system of n nteractng partcles that evolves n tme accorng to the followng set of couple Langevn equatons m v t = F αv + F (t), (9) x t = v, (10) where x an v are the poston an velocty of the - th partcle. We are assumng that the mass m an the coeffcent α are the same for all partcles an that the force F actng on the -th partcle epens only on the postons. The forces F mght not be conservatve. The quantty F (t) s the ranom force, a stochastc varable havng the propertes an F (t) = 0, (11) F (t)f j (t ) = αt δ j δ(t t ), (1) where, T > 0 s a constant that mght be stnct for each partcle. The assocate Fokker-Planck equaton, that gves the tme evoluton of the probablty strbuton P(x, v, t), where x an v enote the vectors whose components are the varables {x } an {v }, respectvely, s gven by t P = 1 (F P αv P) m v + α m x (v P)+ T v P, (13)

3 3 whch we wrte n the form t P = where K an J are gven by an ( K + ) J, (14) v K = F P + v P, (15) m v x J = αv m P αt m v P. (16) The Fokker-Planck equaton shoul be solve nse a certan regon of the space spanne by the jont sets of varables x = {x } an v = {v }. We assume that at the bounary of ths regon the probablty strbuton P(x, v, t) vanshes. The set of Langevn equatons (9) an (10) an the assocate Fokker-Planck equaton (13) are assume to escrbe a system that s n contact wth several heat baths, each one havng a temperature T. The contact s accomplshe by the ranom forces F. If T = T s nepenent of then we may say taht the system s n contact wth just one heat reservor at temperature T. If n aton the forces F are conservatve then n the statonary state the system s n equlbrum. B. Equlbrum contons At the statonary state the probablty strbuton P(x,v) s nepenent of tme an s the soluton of (K + v J ) = 0. (17) When mcroscopc reversblty hols we shall see n secton IV that J = 0, that s, αv m P + αt m whch mples that P must be of the form v P = 0, (18) P(x,v) = χ(x)φ(v), (19) that s x an v are nepenent ranom vector varables. Settng (19) nto the efnton (15) of K, t follows that ( K = v φ F χ + ) χ. (0) T x But, snce J = 0, t follows from (17) that the summaton of K must vansh, that s, K = 0. (1) Takng nto account that the expresson nse the parentheses n equaton (0) epens only on x an that (1) must be hel for any velocty, t follows that each term of the summaton n (1) must vansh, that s, K = 0, so that x lnχ = F T. () From ths equaton t follows mmeately that 1 T F x j = 1 T j F j x, (3) for any par,j, whch s the esre equlbrum conton. That s, mcroscopc reversblty mples that the forces F an the parameters T must be such that they satsfy (3). If the temperatures are all the same, then T = T j, (4) F x j = F j x, (5) that s, the forces F must be conservatve. In ths case the system s n thermoynamc equlbrum an s escrbe by the canoncal Gbbs probablty strbuton P(x,v) = 1 exp{ βh(x,v)}, (6) Z whch follows rectly from (17) an (), where H(x,v) = 1 m v + V(x) (7) an T = 1/β. In aton, the forces are relate to the potental V by F = V x. (8) When the contons (5) an (4) are val, the Langevn equatons an the assocate Fokker-Planck equaton escrbe a system wth conservatve forces n contact wth a heat reservor at temperature T = 1/β. However, our am here s to stuy systems that o not satsfy these contons so that, n the statonary state, they are rreversble. We stngush two types of nonequlbrum stuatons. In the frst, the forces F are conservatve but the temperatures T are not all the same. In the secon, the temperatures are all the same but the forces F are nonconservatve. C. Entropy proucton To etermne an expresson for the entropy flux rate an entropy proucton rate we follow a metho smlar

4 4 to that use by Sefert [17] for the case of overampe moton. We start from the entropy S, efne by S = P lnpxv. (9) Its tme ervatve s t = lnp P xv, (30) t or, usng the Fokker-Planck equaton as gven by (14), t = K lnpxv + lnp J xv. (31) v The ntegral n the frst summaton vanshes entcally as can be seen by replacng K by ts efnton, gven by equaton (15), an by performng an ntegraton by parts. The result s ( ) F P P K lnpxv = + v xv = 0, m v x (3) where the secon equalty s obtane by another ntegraton by parts an by takng nto account that F epens on x but not on v. Usng ths last result an ntegratng the secon ntegral n (31) by parts gves t = But from the efnton of J, so that t = J v lnpxv. (33) lnp = mv m J v T αt P, (34) ( m v J + m J ) xv. (35) T αt P The secon term, whch s always nonnegatve, s entfe as the entropy proucton rate Π = m J xv. (36) αt P A smlar expresson for Π has been obtane for the case of overampe moton [17, 18]. In accorance wth relaton (1), the entropy flux rate shoul be then Φ = m v J xv. (37) T In the statonary state, /t = 0 an Π = Φ. In equlbrum J = 0 an both the entropy flux rate an entropy proucton rate vansh, Π = Φ = 0. In nonequlbrum statonary state, J 0 an Π = Φ 0. Equatons (36) an (37) gve the esre expresson for the entropy proucton rate an entropy flux rate for a system escrbe by the Fokker-Planck equaton (13). In secton IV, we wll show that these two expressons can actually be euce from the general expressons (7) an (8) by an approprate master equaton representaton of the Fokker-Planck equaton (13). D. Entropy flux an energy sspaton Usng the efnton of J, gven by equaton (16), the entropy flux rate may be wrtten as Φ = ( α v P + α ) T m v P xv. (38) v Integratng the secon ntegral by parts, Φ = ( α v P α ) T m P xv, (39) or Φ = 1 ( α v α ) T m T. (40) Let us etermne the average rate of energy sspaton P of each partcle. It has two contrbutons: one s the work sspate per unt tme, v F, an the other s the ecrease n knetc energy per unt tme, (m/)(/t)v. That s, P = v F m t v. (41) Now, from the Fokker-Planck equaton, t s straghtfowar to obtan the result m t v j = v j F j α vj + α m T j, (4) whch follows after some approprate ntegraton by parts. Replacng ths result n equaton (41), we get an equvalent expresson for the sspaton power of each partcle, namely P j = α v j α m T j. (43) From ths result we may wrte the entropy flux rate as Φ = P T. (44) If the temperatures are the same T = T then Φ = P T. (45) Where P = P s the total energy sspate per unt tme. In the statonary state, v s a constant so that v /t = 0 an P = v F. We are then left wth the followng expresson Π = Φ = P T = 1 T v F, (46) val n the statonary regme. Usng the nterpretaton that each partcle s n contact wth a heat reservor

5 5 at temperature T, ths result says that the entropy proucton rate s a sum of terms each one beng the rato between the sspaton of energy per unt tme, that s, the sspate power, an the temperature of the heat bath. Let us conser now the case n whch the forces are conservatve n whch case F = V/x. From the Fokker-Planck equaton an after an approprate ntegraton by parts t s straghtforwar to show that t V = v V x = v F. (47) Therefore, the total sspate power s P = ( P = V + ) m t v, (48) If, n aton, T = T s the same for all stes, then the entropy flux rate s gven by ( Φ = 1 V + ) m T t v. (49) From ths equaton we see that the entropy flux rate s equal to the rato between the ecrease n the nternal energy per unt tme an the temperature T of the heat bath. III. THERMAL CONDUCTION IN A SIMPLE SYSTEM A. Equatons of moton We apply the prevous results to a nonequlbrum smple system consstng of two couple partcles of the same mass m, movng along a straght lne. They nteract wth each other an each one s n contact wth thermal reservors at fferent temperatures. Ther movements are governe by the Langevn equatons an m v 1 t = k(x 1 x ) k x 1 αv 1 + F 1 (t), (50) m v t = k(x x 1 ) k x αv + F (t), (51) where x an v = x /t are the poston an velocty of the -th partcle. The quanttes k an k are sprng constants an α s the frcton constant. The ranom forces F 1 an F are Gaussan whte noses wth the propertes F (t) = 0, (5) F (t)f j (t ) = αt δ j δ(t t ), (53) where T 1 an T are the temperature of the thermal reservors connecte to partcles 1 an, respectvely. If we efne the forces F 1 (x 1,x ) an F (x 1,x ) by an F 1 = k(x 1 x ) k x 1, (54) F = k(x x 1 ) k x, (55) then equatons (50) an (51) have the same structure of (9). The assocate Fokker-Planck equaton for the probablty ensty P(x 1,x,v 1,v,t) s gven by t P = x 1 (v 1 P) (v P) 1 (F 1 P) x m v 1 1 (F P) + λ (v 1 P) + λ (v P) m v v 1 v + Γ 1 v1 P + Γ v P, (56) where λ = α/m an Γ = αt /m. To etermne the entropy proucton rate t s necessary to compute averages of the type x x j, x v j an v v j. Snce the Langevn equatons (50) an (51) are lnear equatons they can be solve exactly an so can the Fokker-Planck equaton. From the soluton P(x 1,x,v 1,v,t) of the Fokker-Planck equaton we etermne the esre averages. Here, however, we follow a stnct proceure. Instea of fnng the probablty P tself we set up equatons for the those averages an solve them. From the Fokker-Planck equatons t s straghtforwar to reach the followng equatons for the averages t x 1 = x 1 v 1, (57) t x = x v, (58) t x 1x = x 1 v + x v 1, (59) t x 1v 1 = v 1 K x 1 + L x 1 x λ x 1 v 1, (60) t x v = v K x + L x 1 x λ x v, (61) t x 1v = v 1 v K x 1 x + L x 1 λ x 1 v, (6) t x v 1 = v v 1 K x 1 x + L x λ x v 1, (63)

6 6 t v 1 = K x 1 v 1 + L x v 1 λ v 1 + Γ 1, (64) t v = K x v + L x 1 v λ v + Γ, (65) t v 1v = K x 1 v + L x v K x v 1 + L x 1 v 1 λ v 1 v, (66) where K = (k + k )/m an L = k/m. B. Entropy proucton n the steay state In the statonary regme, the set of equatons above are reuce to followng set of equatons x 1 v 1 = x v = v 1 v = 0, (67) x v 1 + x 1 v = 0, (68) v 1 K x 1 + L x 1 x = 0, (69) K x 1 x + L x 1 λ x 1 v = 0, (70) K x 1 x + L x λ x v 1 = 0, (71) v K x + L x 1 x = 0, (7) L x v 1 λ v 1 + Γ 1 = 0, (73) L x 1 v λ v + Γ = 0. (74) These equatons are lnear n the averages an can realy be solve wth the results v 1 = Γ 1 + Γ 4λ v = Γ 1 + Γ 4λ + Kλ(Γ 1 Γ ) 4(L + Kλ ), (75) Kλ(Γ 1 Γ ) 4(L + Kλ ), (76) x 1 v = x v 1 = L(Γ 1 Γ ) 4(L + Kλ ), (77) x 1 = K(Γ 1 + Γ ) 4λ(K L ) + λ(γ 1 Γ ) 4(L + Kλ ), (78) x = K(Γ 1 + Γ ) 4λ(K L ) λ(γ 1 Γ ) 4(L + Kλ ), (79) x 1 x = L(Γ 1 + Γ ) 4λ(K L ). (80) In the statonary state Π = Φ an we may use expresson (40) for the entropy flux rate to get the entropy proucton rate, gven by or Π = α T 1 v 1 + α T v α m, (81) Π = λ Γ 1 v 1 + λ Γ v 1 λ. (8) Takng nto account the results above for v 1 an v an after straghtforwar calculatons we arrve at the followng expresson for the entropy proucton rate Π = (Γ 1 Γ ) Γ 1 Γ λl L + Kλ. (83) Makng the substtutons K = (k + k )/m, L = k/m, λ = α/m, an Γ = αt /m, we get Π = (T 1 T ) T 1 T αk [mk + (k + k )α ], (84) From the relaton Φ = κ(t 1 T ) /T 1 T between entropy proucton Π an the thermal conucton κ [33], we get κ = αk [mk + (k + k )α ]. (85) whch agrees wth the result obtane by a stnct metho [7]. IV. PRODUCTION OF ENTROPY IN A MARKOVIAN PROCESS A. Master equaton representaton In ths secton we emonstrate two mportant results that we have use prevously. The frst one s relate to the current J as efne by equaton (16). In the steay state an f mcroscopc reversblty hols then J = 0 for each. The secon result refers to the expressons (36) an (37) for the entropy proucton an entropy flux rates. We show here that these two expressons can be obtane from formulas (7) an (8), val for systems escrbe by a master equaton. The emonstraton begns by scretzng the Fokker-Planck equaton (13) transformng t on a master equaton of the form t P(η) = η {W(η η )P(η ) W(η η)p(η)}, (86)

7 7 where η = (x,v) an η = (x,v ) enote scretze states n phase space an W(η η) s the rate of transton from the state η to the state η. To smplfy the notaton we are omttng the tme epenence of P(η). We use two types of scretzatons. In the frst we assume that the velocty v wll ncrease or ecrease by an amount a. Ths proceure s use to wrte own the followng approxmatons for the ervatves of P wth respect to v an v P = 1 a {P(x,v+ ) P(x,v) + P(x,v )} (87) (v P) = 1 v a {(v + a)p(x,v + ) (v a)p(x,v )}. (88) The notaton v ± stans for the vector whose components are the same as those of the vector v except the -component whch equals v ± a. In the secon type of scretzaton the poston x wll ncrease by an amount bv whereas the velocty v wll ncrease by F b/m. Ths proceure s use to wrte own the approxmaton 1 (F P) (v P) = 1 m v x b {P(x,v ) P(x,v)}. (89) The notaton x ± stans for the vector whose components are the same as those of the vector x except the -component whch equals x ± bv an v ± stans for the vector whose components are the same as those of the vector v except the -component whch equals v ±bf /m. Usng the approxmatons gven by equatons (87), (88) an (89), the Fokker-Planck equaton (13) can be represente n the form of a generalze brth an eath master equaton, t P(x,v) = + {A + (x,v )P(x,v ) A (x,v)p(x,v)} {A (x,v+ )P(x,v + ) A + (x,v)p(x,v)} + {B (x,v )P(x,v ) B (x,v)p(x,v)}, (90) where A ± (x,v) are the transton rates from (x,v) to (x,v ± ) an are gven by an A + (x,v) = αt m a αv ma, (91) A (x,v) = αt m a + αv ma, (9) where a s chosen to be suffcently small so that A ± (x,v) wll be nonnegatve. The quantty B (x,v), the transton rate from (x,v) to (x +,v + ), s B (x,v) = 1 b. (93) In the lmt a 0 an b 0, the master equaton (90) turns nto the Fokker-Planck equaton (13). B. Mcroscopc reversblty The state of thermoynamc equlbrum of a system escrbe by a stochastc process s entfe as the state obeyng mcroscopc reversblty, whch occurs whenever the probablty of any trajectory equals the probablty of ts tme reverse. In a stochastc Markovan process ths conton s fullfel f [34] T(η η )P(η ) = T(η η)p(η), (94) for any to state η an η, where T(η η) s the contonal probablty of the transton η η an P(η) s the statonary probablty strbuton. In the contnuous tme lmt, we use the relaton T(η η) = tw(η η), val for small tme nterval t, to get the mcroscopc reversblty conton for system escrbe by the master equaton (86), W(η η )P(η ) = W(η η)p(η), (95) From equaton (95), we get two nepenent contons, an A + (x,v )P(x,v + ) = A (x,v)p(x,v), (96) B (x,v )P(x,v ) = B (x,v)p(x,v). (97) From ths last conton an usng (89) an (93) we get 1 (F P) + (v P) = 0. (98) m v x Therefore, the quantty K efne by (15) vanshes, whch s one of the equlbrum contons foun earler. The conton gven by equaton (96) proves [αt ma α(v a)]p(x,v ) = [αt + ma αv ]P(x,v). (99) Expanng ths expresson n powers of a, the lnear term n a gves αt v P(x,v) + mαv P(x,v) = 0 (100) from whch follows that J, efne by (16), vanshes, whch s the other equlbrum conton.

8 8 C. Conserve quantty Let us conser an elementary trajectory η η n phase space occurrng urng a small nterval of tme t. Suppose that a quantty L(η η), such as the work one by nonconservatve forces, s efne along ths elementary trajectory. The flux of ths quantty urng ths tme nterval s T(η η)p(η)l(η η), (101) η,η where T(η η) = tw(η η) s the transton probablty from η to η. The flux per unt tme Φ L s the rato of ths quantty an t, that s, Φ L = η,η W(η η)p(η)l(η η). (10) If the forces are conservatve, that s, f L(η η) = E(η) E(η ), whch happens for nstance n the case where L(η η) s the work of conservatve force, we may wrte Φ E = η,η{w(η η )P(η ) W(η η)p(η)}e(η). (103) In ths form, whch s entcal to (6), t s easy to see that Φ E vanshes n the statonary state. Inee, the summaton n η s entcally zero n the statonary state. From the master equaton t follows that the tme ervatve of U = E(η) s U t = Φ E, (104) whch agan shows that Φ E vanshes n the statonary state. The flux s efne from the system to the envronment. D. Entropy proucton We assume that the entropy flux rate Φ n a system escrbe by a Markovan process governe by the master equaton (86) s gven by the expresson (10) n whch L(η η) s replace by ln[w(η η)/w(η η )], that s, Φ = η,η W(η η)p(η)ln W(η η) W(η η ). (105) We remark that ths expresson can be unerstoo as the average of η W(η η)ln W(η η)/w(η η ) an n ths sense t can actually be use n numercal smulatons to calculate the entropy flux rate [16]. Equaton (105) can also be wrtten n the form Φ = η,η{w(η η)p(η) W(η η )P(η )}ln W(η η), (106) whch s entcal to expresson (7). Notce that, ln[w(η η)/w(η η )] cannot, n general, that s, for a rreversble system, be wrtten as a fference of the type E(η) E(η ), an therefore t oes not necessarly vansh, except uner thermoynamc equlbrum, n whch case ths quantty equals lnp(η ) lnp(η), as s event from equaton (95). Now, from the entropy of a nonequlbrum thermoynamc system, assume to be gven by equaton (3), t follows that the rate n whch the entropy of the system vares s ( ) t = t P(η) lnp(η). (107) η Usng the master equaton (86), equaton (107) can be wrtten as t = η,η {W(η η )P(η ) W(η η)p(η)}ln P(η), or, equvalently, (108) t = η,η W(η η)p(η)ln P(η) P(η ). (109) The entropy proucton rate s obtane by nsertng expressons (105) an (109) nto relaton (1). We get the followng expresson for the entropy proucton rate Π = η,η W(η η)p(η)ln W(η η)p(η) W(η η )P(η ), (110) whch can be wrtten n the suggestve form Π = 1 {W(η η)p(η) W(η η )P(η )}ln W(η η)p(η) W(η η )P(η ). η,η (111) In ths form Π s manfestly nonnegatve an can be regare as an extenson of the entropy proucton rate ntrouce by Schnakenberg [7]. Usng the transton rates approprate for the master equaton representaton (90) of the Fokker-Planck equaton, the entropy flux rate s explctly gven by + Φ = + x,v x,v x,v A + (x,v)p(x,v)ln A+ (x,v) A (x,v+ ) A (x,v)p(x,v)ln A (x,v) A + (x,v ) B (x,v) B (x,v)p(x,v)ln B (x,v ). (11) Usng the transtons rates (91), (9) an (93), we get the result Φ = ( α v α )P(x,v), (113) T x,v m

9 9 that s, Φ = ( α v α ), (114) T m whch s entcal to the expresson (40) an therefore equvalent to entropy flux rate gven by equaton (37). The rate of proucton of entropy Π can be etermne analogously, Π = A + (x,v)p(x,v)ln A + (x,v)p(x,v) A (x,v+ )P(x,v + ) + x,v an ts probablty of occurrence P(C R ) = T(η 0 η 1 )T(η 1 η )...T(η l 1 η l )P(η l ), (11) whch can also be wrtten as P(C R ) = ( t) l W(η 0 η 1 )W(η 1 η )...W(η l 1 η l )P(η l ), (1) wth the followng unerstanng: whenever W(η η) n equaton (119) s equal to A + then W(η η ) n equaton (1) wll be equal to A an vce-versa. The mcroscopc reversblty happens when a gven trajectory an ts reverse have the same probablty of occurrence, that s, P(C) = P(C R ), so that + A (x,v)p(x,v)ln A (x,v)p(x,v) A + (x,v )P(x,v ) + x,v or T(η 1 η 0 )P(η 0 ) = T(η 0 η 1 )P(η 1 ), (13) + B (x,v)p(x,v) B (x,v)p(x,v)ln B x,v (x,v )P(x,v ). (115) It s straghtforwar but cumbersome to show that ths expresson leas us to the result Π = m J xv, (116) αt P whch s entcal to the expresson (36) foun earler. It suffces to replace A ± an B by ther efntons, gven by (91), (9) an (93), expan P(x,v ± up to secon orer n a an use relaton (89). After takng the lmt a 0 an usng the efnton of J, gven by (16), we arrve at the above result. E. Jarzynsk equalty Here we follow a metho smlar to that use by Crooks [30, 31] an by Gaveau et al. [3]. We scretze the tme n ntervals t so that tw(η η) = T(η η) wll be the transton probablty from η to η. Let us conser a trajectory n phase space C = (η 0 η 1 η... η l ), (117) occurrng urng an nterval of tme equal to l t. The probablty of occurrence of such a trajectory wll be P(C) = T(η l η l 1 )...T(η η 1 )T(η 1 η 0 )P(η 0 ), (118) whch can also be wrtten as P(C) = ( t) l W(η l η l 1 )...W(η η 1 )W(η 1 η 0 )P(η 0 ). (119) Let us conser now the tme reversal path C R, relate to C an efne by C R = (η l η l 1... η 1 η 0 ), (10) W(η 1 η 0 )P(η 0 ) = W(η 0 η 1 )P(η 1 ), (14) whch we use before n equaton (95). Let us conser the rato R = P(C R) l P(C) = W(η j 1 η j ) P(η l ) W(η j η j 1 ) P(η 0 ). (15) One fns that so that R = C j=1 RP(C) = C P(C R ) = 1, (16) e ln R = 1. (17) Now the rato R can be wrtten n the form R = l j=1 W(η j 1 η j )P(η j ) W(η j η j 1 )P(η j 1 ), (18) where P(η j ) s unerstoo as the probablty strbuton at tme t = j t, soluton of the master equaton wth the ntal conton P(η 0 ) at tme t = 0. From (18), t follows where ln R = l σ(η j,η j 1 ) t, (19) j=1 σ(η,η) = 1 t ln W(η η)p(η) W(η η )P(η ) (130) s the ntrnsc entropy proucton rate, wth the conventon that η s the state occurrng at a gven tme t an η at a later tme t + t. A entty of the Jarzynsk type [8 31] follows then exp{ l σ(η j,η j 1 ) t} = 1, (131) j=1

10 10 where the average s to be taken over the probablty strbuton (119) of the path C. The ntrnsc entropy flux rate s gven by so that φ(η,η) = 1 t ln W(η η) W(η η ), (13) σ(η,η) = φ(η,η) + 1 t [S (η ) S (η)], (133) where S (η) = ln P(η) s the ntrnsc entropy. Takng nto account that the entropy proucton rate Π, as gven by (110), s the average of σ, that s, Π = σ(η,η), an that the entropy flux rate Φ, as gven by (105), s the average of φ, that s, Φ = φ(η,η), we get, n the lmt t 0 Π = Φ + t, (134) where S s the average of S, that s, S = S. In the contnuous tme lmt we may wrte the Jarzynsk entty as exp{ t 0 σt} = 1, (135) where the ntegral extens over a gven trajectory n phase space or, takng nto account (133), exp{ t 0 φ t [S (t) S (0)]} = 1. (136) From expresson (44) for Φ an bearng n mn that Φ = φ we get exp{ 1 T ( m [v (t) v (0)] t 0 ) v F t [S (t) S (0)]} = 1, (137) whch s the Jarzynsk equalty for a nonequlbrum systems of partcles followng a Fokker-Planck equaton escrbng the contact wth several heat baths at stnct temperatures. V. CONCLUSION We have etermne an expresson for the entropy proucton rate an entropy flux rate n rreversble systems escrbe by a Fokker-Planck equaton. The rreversble character s represente ether by nonconservatve forces or by the contact of the system wth heat baths at fferent temperatures. The expresson for the entropy proucton was obtane by usng a master equaton representaton of the Fokker-Planck an through a efnton of entropy proucton rate an entropy flux rate that nvolve the transton rates an n ths sense s relate to the rato between the probabltes of a trajectory n phase space an ts tme reversal. We have shown that, n the statonary state, the entropy proucton, or the entropy flux, s relate to the sspate power. More precsely, we have shown that the entropy proucton n a system n contact wth several heat baths s a sum of terms, each one beng the rato between the sspate power an the temperature of the corresponng heat bath. Usually ths relaton s actually use to efne entropy flux. The efntons of entropy proucton an entropy flux as we use here make no a pror reference to the sspate power. In ths sense they are unversal efntons beng val for general open systems not necessarly n contact wth heat reservors. As an example of our formalsm, we have use the expresson for the entropy proucton rate to etermne the heat conuctance of a smple system consstng of two Brownan partcles, each one n contact to heat reservors at stnct temperatures. Our results agree wth those obtane by other methos. Fnally, we have mae a connecton between the efnton of entropy proucton rate an the Jarzynsk equalty. [1] I. Prgogne, Introucton to Thermoynamcs of Irreversble Processes (New York, Wley, 1961), n. e. [] S. R. e Groot an P. Mazur, Non-Equlbrum Thermoynamcs (Amsteram, North-Hollan, 196). [3] G. Ncols an I. Prgogne, Self-Organzaton n Nonequlbrum Systems (Wley, New York, 1977). [4] N. G. van Kampen, Stochastc Processes n Physcs an Chemstry (North-Hollan, Amsteram, 1981). [5] C. Garner, Hanbook of Stochastc Methos for Physcs, Chemstry an Natural Scences (Sprnger, Berln, 1983). [6] H. Rsken, The Fokker-Planck Equaton: Methos of Soluton an Applcatons (Sprnger, Berln, 1984). [7] J. Schnakenberg, Rev. Mo. Phys. 48, 571 (1976). [8] J.-L. Luo, C. Van en Broeck an G. Ncols, Z. Phys. B 56, 165 (1984). [9] C. Y. Muo, J.-L. Luo an G. Ncols, J. Chem. Phys. 84, 7011 (1986). [10] A. Pérez-Mar, J. M. Rubí an P. Mazur, Physca A 1, 31 (1994). [11] J. Kurchan, J. Phys. A 31, 3719 (1998). [1] C. Maes, J. Stat. Phys. 95, 367 (1999). [13] J. L. Lebowtz an H. Spohn, J. Stat. Phys. 95, 333 (1999). [14] C. Maes, F. Reg, an A. Van Moffaert, J. Math. Phys. 41, 158 (000). [15] C. Maes an K. Netočn J. Stat. Phys. 11, 69 (003). [16] L. Crochk an T. Tomé, Phys. Rev. E 7, (005).

11 11 [17] U. Sefert, Phys. Rev. Lett. 95, (005). [18] T. Tomé, Braz. J. Phys. 36, 185 (006). [19] R. K. P. Za an B. Schmttmann, J. Phys. A 39, L407 (006). [0] R. K. P. Za an B. Schmttmann, J. Stat. Mech. P0701 (007). [1] R. J. Harrs an G. M. Schütz, J. Stat. Mech. P0700 (007). [] D. Anreux an P. Gasparp, J. Stat. Phys. 17, 107 (007). [3] A. Imparato an L. Pelt, J. Stat. Mech. L0001 (007). [4] B. Gaveau, M. Moreau an L. S. Schulman, Phys. Rev. E 79, (009). [5] A. Pérez-Mar an I. Santamaría-Holek, Phys. Rev. E 79, (009). [6] A. Dhar, Av. Phys. 57, 457 (008) [7] W. A. Morgao an D. O. Soares-Pnto, Phys. Rev. E 79, (009). [8] C. Jarzynsk, Phys. Rev. Lett. 78, 690 (1997). [9] C. Jarzynsk, Phys. Rev. E 56, 5018 (1997). [30] G. E. Crooks, Phys. Rev. E 60, 71 (1999). [31] G. E. Crooks, Phys. Rev. E 61, 361 (000). [3] B. Gaveau, M. Moreau an L. S. Schulman, Phys. Lett. 37, 3415 (008). [33] D. Konepu an I. Prgogne, Moern Thermoynamcs (New York, Wley, 1998). [34] A. Kolmogoroff, Math. Ann. 11, 155 (1936).

Entropy Production in Nonequilibrium Systems Described by a Fokker-Planck Equation

Entropy Production in Nonequilibrium Systems Described by a Fokker-Planck Equation Brazlan Journal of Physcs, vol. 36, no. 4A, December, 2006 1285 Entropy Proucton n Nonequlbrum Systems Descrbe by a Fokker-Planck Equaton Tâna Tomé Insttuto e Físca Unversae e São Paulo Caxa postal 66318

More information

Conservative ensembles for nonequilibrium lattice-gas systems

Conservative ensembles for nonequilibrium lattice-gas systems Eur. Phys. J. B 64, 409 414 (2008) DOI: 10.1140/epb/e2008-00156-3 THE EUROPEAN PHYSICAL JOURNAL B Conservatve ensembles for nonequlbrum lattce-gas systems M.J. e Olvera a an T. Tomé Insttuto e Físca, Unversae

More information

Analytical classical dynamics

Analytical classical dynamics Analytcal classcal ynamcs by Youun Hu Insttute of plasma physcs, Chnese Acaemy of Scences Emal: yhu@pp.cas.cn Abstract These notes were ntally wrtten when I rea tzpatrck s book[] an were later revse to

More information

A MULTIDIMENSIONAL ANALOGUE OF THE RADEMACHER-GAUSSIAN TAIL COMPARISON

A MULTIDIMENSIONAL ANALOGUE OF THE RADEMACHER-GAUSSIAN TAIL COMPARISON A MULTIDIMENSIONAL ANALOGUE OF THE RADEMACHER-GAUSSIAN TAIL COMPARISON PIOTR NAYAR AND TOMASZ TKOCZ Abstract We prove a menson-free tal comparson between the Euclean norms of sums of nepenent ranom vectors

More information

Yukawa Potential and the Propagator Term

Yukawa Potential and the Propagator Term PHY304 Partcle Physcs 4 Dr C N Booth Yukawa Potental an the Propagator Term Conser the electrostatc potental about a charge pont partcle Ths s gven by φ = 0, e whch has the soluton φ = Ths escrbes the

More information

The Noether theorem. Elisabet Edvardsson. Analytical mechanics - FYGB08 January, 2016

The Noether theorem. Elisabet Edvardsson. Analytical mechanics - FYGB08 January, 2016 The Noether theorem Elsabet Evarsson Analytcal mechancs - FYGB08 January, 2016 1 1 Introucton The Noether theorem concerns the connecton between a certan kn of symmetres an conservaton laws n physcs. It

More information

A MULTIDIMENSIONAL ANALOGUE OF THE RADEMACHER-GAUSSIAN TAIL COMPARISON

A MULTIDIMENSIONAL ANALOGUE OF THE RADEMACHER-GAUSSIAN TAIL COMPARISON A MULTIDIMENSIONAL ANALOGUE OF THE RADEMACHER-GAUSSIAN TAIL COMPARISON PIOTR NAYAR AND TOMASZ TKOCZ Abstract We prove a menson-free tal comparson between the Euclean norms of sums of nepenent ranom vectors

More information

Explicit bounds for the return probability of simple random walk

Explicit bounds for the return probability of simple random walk Explct bouns for the return probablty of smple ranom walk The runnng hea shoul be the same as the ttle.) Karen Ball Jacob Sterbenz Contact nformaton: Karen Ball IMA Unversty of Mnnesota 4 Ln Hall, 7 Church

More information

High-Order Hamilton s Principle and the Hamilton s Principle of High-Order Lagrangian Function

High-Order Hamilton s Principle and the Hamilton s Principle of High-Order Lagrangian Function Commun. Theor. Phys. Bejng, Chna 49 008 pp. 97 30 c Chnese Physcal Socety Vol. 49, No., February 15, 008 Hgh-Orer Hamlton s Prncple an the Hamlton s Prncple of Hgh-Orer Lagrangan Functon ZHAO Hong-Xa an

More information

Chapter 7: Conservation of Energy

Chapter 7: Conservation of Energy Lecture 7: Conservaton o nergy Chapter 7: Conservaton o nergy Introucton I the quantty o a subject oes not change wth tme, t means that the quantty s conserve. The quantty o that subject remans constant

More information

Numerical modeling of a non-linear viscous flow in order to determine how parameters in constitutive relations influence the entropy production

Numerical modeling of a non-linear viscous flow in order to determine how parameters in constitutive relations influence the entropy production Technsche Unverstät Berln Fakultät für Verkehrs- un Maschnensysteme, Insttut für Mechank Lehrstuhl für Kontnuumsmechank un Materaltheore, Prof. W.H. Müller Numercal moelng of a non-lnear vscous flow n

More information

p(z) = 1 a e z/a 1(z 0) yi a i x (1/a) exp y i a i x a i=1 n i=1 (y i a i x) inf 1 (y Ax) inf Ax y (1 ν) y if A (1 ν) = 0 otherwise

p(z) = 1 a e z/a 1(z 0) yi a i x (1/a) exp y i a i x a i=1 n i=1 (y i a i x) inf 1 (y Ax) inf Ax y (1 ν) y if A (1 ν) = 0 otherwise Dustn Lennon Math 582 Convex Optmzaton Problems from Boy, Chapter 7 Problem 7.1 Solve the MLE problem when the nose s exponentally strbute wth ensty p(z = 1 a e z/a 1(z 0 The MLE s gven by the followng:

More information

arxiv:quant-ph/ v1 6 Jun 2003

arxiv:quant-ph/ v1 6 Jun 2003 Quantum jumps an entropy proucton Henz Peter Breuer Fachberech Physk, Carl von Ossetzky Unverstät, D-6111 Olenburg, Germany an Physkalsches Insttut, Unverstät Freburg, D-79104 Freburg, Germany Date: November

More information

ON THE CURENT DENSITY AND OVERTENSION SIGNS II. THE CASE OF THE MULTI-ELECTRODIC INTERFACE

ON THE CURENT DENSITY AND OVERTENSION SIGNS II. THE CASE OF THE MULTI-ELECTRODIC INTERFACE ON HE CUREN DENSIY AND OVERENSION SIGNS II. HE CASE OF HE MULI-ELECRODIC INERFACE C. Mhalcuc an S. Lupu abstract: For a spontaneous electroe reacton the entropy proucton an the current ensty across the

More information

Large-Scale Data-Dependent Kernel Approximation Appendix

Large-Scale Data-Dependent Kernel Approximation Appendix Large-Scale Data-Depenent Kernel Approxmaton Appenx Ths appenx presents the atonal etal an proofs assocate wth the man paper [1]. 1 Introucton Let k : R p R p R be a postve efnte translaton nvarant functon

More information

On a one-parameter family of Riordan arrays and the weight distribution of MDS codes

On a one-parameter family of Riordan arrays and the weight distribution of MDS codes On a one-parameter famly of Roran arrays an the weght strbuton of MDS coes Paul Barry School of Scence Waterfor Insttute of Technology Irelan pbarry@wte Patrck Ftzpatrck Department of Mathematcs Unversty

More information

Classical Mechanics Symmetry and Conservation Laws

Classical Mechanics Symmetry and Conservation Laws Classcal Mechancs Symmetry an Conservaton Laws Dpan Kumar Ghosh UM-DAE Centre for Excellence n Basc Scences Kalna, Mumba 400085 September 7, 2016 1 Concept of Symmetry If the property of a system oes not

More information

Mechanics Physics 151

Mechanics Physics 151 Mechancs Physcs 5 Lecture 3 Contnuous Systems an Fels (Chapter 3) Where Are We Now? We ve fnshe all the essentals Fnal wll cover Lectures through Last two lectures: Classcal Fel Theory Start wth wave equatons

More information

Chapter 2 Transformations and Expectations. , and define f

Chapter 2 Transformations and Expectations. , and define f Revew for the prevous lecture Defnton: support set of a ranom varable, the monotone functon; Theorem: How to obtan a cf, pf (or pmf) of functons of a ranom varable; Eamples: several eamples Chapter Transformatons

More information

Entropy generation in a chemical reaction

Entropy generation in a chemical reaction Entropy generaton n a chemcal reacton E Mranda Área de Cencas Exactas COICET CCT Mendoza 5500 Mendoza, rgentna and Departamento de Físca Unversdad aconal de San Lus 5700 San Lus, rgentna bstract: Entropy

More information

CENTRAL LIMIT THEORY FOR THE NUMBER OF SEEDS IN A GROWTH MODEL IN d WITH INHOMOGENEOUS POISSON ARRIVALS

CENTRAL LIMIT THEORY FOR THE NUMBER OF SEEDS IN A GROWTH MODEL IN d WITH INHOMOGENEOUS POISSON ARRIVALS The Annals of Apple Probablty 1997, Vol. 7, No. 3, 82 814 CENTRAL LIMIT THEORY FOR THE NUMBER OF SEEDS IN A GROWTH MODEL IN WITH INHOMOGENEOUS POISSON ARRIVALS By S. N. Chu 1 an M. P. Qune Hong Kong Baptst

More information

3.1 Expectation of Functions of Several Random Variables. )' be a k-dimensional discrete or continuous random vector, with joint PMF p (, E X E X1 E X

3.1 Expectation of Functions of Several Random Variables. )' be a k-dimensional discrete or continuous random vector, with joint PMF p (, E X E X1 E X Statstcs 1: Probablty Theory II 37 3 EPECTATION OF SEVERAL RANDOM VARIABLES As n Probablty Theory I, the nterest n most stuatons les not on the actual dstrbuton of a random vector, but rather on a number

More information

Physics 5153 Classical Mechanics. D Alembert s Principle and The Lagrangian-1

Physics 5153 Classical Mechanics. D Alembert s Principle and The Lagrangian-1 P. Guterrez Physcs 5153 Classcal Mechancs D Alembert s Prncple and The Lagrangan 1 Introducton The prncple of vrtual work provdes a method of solvng problems of statc equlbrum wthout havng to consder the

More information

Physics 181. Particle Systems

Physics 181. Particle Systems Physcs 181 Partcle Systems Overvew In these notes we dscuss the varables approprate to the descrpton of systems of partcles, ther defntons, ther relatons, and ther conservatons laws. We consder a system

More information

MA209 Variational Principles

MA209 Variational Principles MA209 Varatonal Prncples June 3, 203 The course covers the bascs of the calculus of varatons, an erves the Euler-Lagrange equatons for mnmsng functonals of the type Iy) = fx, y, y )x. It then gves examples

More information

The Feynman path integral

The Feynman path integral The Feynman path ntegral Aprl 3, 205 Hesenberg and Schrödnger pctures The Schrödnger wave functon places the tme dependence of a physcal system n the state, ψ, t, where the state s a vector n Hlbert space

More information

ENTROPIC QUESTIONING

ENTROPIC QUESTIONING ENTROPIC QUESTIONING NACHUM. Introucton Goal. Pck the queston that contrbutes most to fnng a sutable prouct. Iea. Use an nformaton-theoretc measure. Bascs. Entropy (a non-negatve real number) measures

More information

π e ax2 dx = x 2 e ax2 dx or x 3 e ax2 dx = 1 x 4 e ax2 dx = 3 π 8a 5/2 (a) We are considering the Maxwell velocity distribution function: 2πτ/m

π e ax2 dx = x 2 e ax2 dx or x 3 e ax2 dx = 1 x 4 e ax2 dx = 3 π 8a 5/2 (a) We are considering the Maxwell velocity distribution function: 2πτ/m Homework Solutons Problem In solvng ths problem, we wll need to calculate some moments of the Gaussan dstrbuton. The brute-force method s to ntegrate by parts but there s a nce trck. The followng ntegrals

More information

Hard Problems from Advanced Partial Differential Equations (18.306)

Hard Problems from Advanced Partial Differential Equations (18.306) Har Problems from Avance Partal Dfferental Equatons (18.306) Kenny Kamrn June 27, 2004 1. We are gven the PDE 2 Ψ = Ψ xx + Ψ yy = 0. We must fn solutons of the form Ψ = x γ f (ξ), where ξ x/y. We also

More information

Lecture Note 3. Eshelby s Inclusion II

Lecture Note 3. Eshelby s Inclusion II ME340B Elastcty of Mcroscopc Structures Stanford Unversty Wnter 004 Lecture Note 3. Eshelby s Incluson II Chrs Wenberger and We Ca c All rghts reserved January 6, 004 Contents 1 Incluson energy n an nfnte

More information

Competitive Experimentation and Private Information

Competitive Experimentation and Private Information Compettve Expermentaton an Prvate Informaton Guseppe Moscarn an Francesco Squntan Omtte Analyss not Submtte for Publcaton Dervatons for te Gamma-Exponental Moel Dervaton of expecte azar rates. By Bayes

More information

Chapter 24 Work and Energy

Chapter 24 Work and Energy Chapter 4 or an Energ 4 or an Energ You have one qute a bt of problem solvng usng energ concepts. ac n chapter we efne energ as a transferable phscal quantt that an obect can be sa to have an we sa that

More information

ENGI9496 Lecture Notes Multiport Models in Mechanics

ENGI9496 Lecture Notes Multiport Models in Mechanics ENGI9496 Moellng an Smulaton of Dynamc Systems Mechancs an Mechansms ENGI9496 Lecture Notes Multport Moels n Mechancs (New text Secton 4..3; Secton 9.1 generalzes to 3D moton) Defntons Generalze coornates

More information

New Liu Estimators for the Poisson Regression Model: Method and Application

New Liu Estimators for the Poisson Regression Model: Method and Application New Lu Estmators for the Posson Regresson Moel: Metho an Applcaton By Krstofer Månsson B. M. Golam Kbra, Pär Sölaner an Ghaz Shukur,3 Department of Economcs, Fnance an Statstcs, Jönköpng Unversty Jönköpng,

More information

PHYS 705: Classical Mechanics. Hamilton-Jacobi Equation

PHYS 705: Classical Mechanics. Hamilton-Jacobi Equation 1 PHYS 705: Classcal Mechancs Hamlton-Jacob Equaton Hamlton-Jacob Equaton There s also a very elegant relaton between the Hamltonan Formulaton of Mechancs and Quantum Mechancs. To do that, we need to derve

More information

STATISTICAL MECHANICAL ENSEMBLES 1 MICROSCOPIC AND MACROSCOPIC VARIABLES PHASE SPACE ENSEMBLES. CHE 524 A. Panagiotopoulos 1

STATISTICAL MECHANICAL ENSEMBLES 1 MICROSCOPIC AND MACROSCOPIC VARIABLES PHASE SPACE ENSEMBLES. CHE 524 A. Panagiotopoulos 1 CHE 54 A. Panagotopoulos STATSTCAL MECHACAL ESEMBLES MCROSCOPC AD MACROSCOPC ARABLES The central queston n Statstcal Mechancs can be phrased as follows: f partcles (atoms, molecules, electrons, nucle,

More information

Implicit Integration Henyey Method

Implicit Integration Henyey Method Implct Integraton Henyey Method In realstc stellar evoluton codes nstead of a drect ntegraton usng for example the Runge-Kutta method one employs an teratve mplct technque. Ths s because the structure

More information

PHYS 705: Classical Mechanics. Canonical Transformation II

PHYS 705: Classical Mechanics. Canonical Transformation II 1 PHYS 705: Classcal Mechancs Canoncal Transformaton II Example: Harmonc Oscllator f ( x) x m 0 x U( x) x mx x LT U m Defne or L p p mx x x m mx x H px L px p m p x m m H p 1 x m p m 1 m H x p m x m m

More information

Difference Equations

Difference Equations Dfference Equatons c Jan Vrbk 1 Bascs Suppose a sequence of numbers, say a 0,a 1,a,a 3,... s defned by a certan general relatonshp between, say, three consecutve values of the sequence, e.g. a + +3a +1

More information

A particle in a state of uniform motion remain in that state of motion unless acted upon by external force.

A particle in a state of uniform motion remain in that state of motion unless acted upon by external force. The fundamental prncples of classcal mechancs were lad down by Galleo and Newton n the 16th and 17th centures. In 1686, Newton wrote the Prncpa where he gave us three laws of moton, one law of gravty,

More information

CHAPTER 5 NUMERICAL EVALUATION OF DYNAMIC RESPONSE

CHAPTER 5 NUMERICAL EVALUATION OF DYNAMIC RESPONSE CHAPTER 5 NUMERICAL EVALUATION OF DYNAMIC RESPONSE Analytcal soluton s usually not possble when exctaton vares arbtrarly wth tme or f the system s nonlnear. Such problems can be solved by numercal tmesteppng

More information

CHAPTER 4 HYDROTHERMAL COORDINATION OF UNITS CONSIDERING PROHIBITED OPERATING ZONES A HYBRID PSO(C)-SA-EP-TPSO APPROACH

CHAPTER 4 HYDROTHERMAL COORDINATION OF UNITS CONSIDERING PROHIBITED OPERATING ZONES A HYBRID PSO(C)-SA-EP-TPSO APPROACH 77 CHAPTER 4 HYDROTHERMAL COORDINATION OF UNITS CONSIDERING PROHIBITED OPERATING ZONES A HYBRID PSO(C)-SA-EP-TPSO APPROACH 4.1 INTRODUCTION HTC consttutes the complete formulaton of the hyrothermal electrc

More information

PHYS 705: Classical Mechanics. Newtonian Mechanics

PHYS 705: Classical Mechanics. Newtonian Mechanics 1 PHYS 705: Classcal Mechancs Newtonan Mechancs Quck Revew of Newtonan Mechancs Basc Descrpton: -An dealzed pont partcle or a system of pont partcles n an nertal reference frame [Rgd bodes (ch. 5 later)]

More information

PHZ 6607 Lecture Notes

PHZ 6607 Lecture Notes NOTE PHZ 6607 Lecture Notes 1. Lecture 2 1.1. Defntons Books: ( Tensor Analyss on Manfols ( The mathematcal theory of black holes ( Carroll (v Schutz Vector: ( In an N-Dmensonal space, a vector s efne

More information

C/CS/Phy191 Problem Set 3 Solutions Out: Oct 1, 2008., where ( 00. ), so the overall state of the system is ) ( ( ( ( 00 ± 11 ), Φ ± = 1

C/CS/Phy191 Problem Set 3 Solutions Out: Oct 1, 2008., where ( 00. ), so the overall state of the system is ) ( ( ( ( 00 ± 11 ), Φ ± = 1 C/CS/Phy9 Problem Set 3 Solutons Out: Oct, 8 Suppose you have two qubts n some arbtrary entangled state ψ You apply the teleportaton protocol to each of the qubts separately What s the resultng state obtaned

More information

Mechanics Physics 151

Mechanics Physics 151 Mechancs Physcs 151 Lecture 3 Lagrange s Equatons (Goldsten Chapter 1) Hamlton s Prncple (Chapter 2) What We Dd Last Tme! Dscussed mult-partcle systems! Internal and external forces! Laws of acton and

More information

Affine transformations and convexity

Affine transformations and convexity Affne transformatons and convexty The purpose of ths document s to prove some basc propertes of affne transformatons nvolvng convex sets. Here are a few onlne references for background nformaton: http://math.ucr.edu/

More information

arxiv: v1 [quant-ph] 2 Jul 2007

arxiv: v1 [quant-ph] 2 Jul 2007 Non-Markovan quantum ynamcs an the metho of correlate projecton superoperators Henz-Peter Breuer 1, 1 Physkalsches Insttut, Unverstät Freburg, Hermann-Herer-Strasse 3, D-79104 Freburg, Germany (Date: February

More information

Homological methods in Non-commutative Geometry Tokyo, 2007/2008 1

Homological methods in Non-commutative Geometry Tokyo, 2007/2008 1 Homologcal methos n Non-commutatve Geometry Tokyo, 2007/2008 1 Lecture 2. Secon bcomplex for cyclc homology. Connes fferental. Cyclc homology an the e Rham cohomology n the HKR case. Homology of small

More information

University of Washington Department of Chemistry Chemistry 453 Winter Quarter 2015

University of Washington Department of Chemistry Chemistry 453 Winter Quarter 2015 Lecture 2. 1/07/15-1/09/15 Unversty of Washngton Department of Chemstry Chemstry 453 Wnter Quarter 2015 We are not talkng about truth. We are talkng about somethng that seems lke truth. The truth we want

More information

Week3, Chapter 4. Position and Displacement. Motion in Two Dimensions. Instantaneous Velocity. Average Velocity

Week3, Chapter 4. Position and Displacement. Motion in Two Dimensions. Instantaneous Velocity. Average Velocity Week3, Chapter 4 Moton n Two Dmensons Lecture Quz A partcle confned to moton along the x axs moves wth constant acceleraton from x =.0 m to x = 8.0 m durng a 1-s tme nterval. The velocty of the partcle

More information

More metrics on cartesian products

More metrics on cartesian products More metrcs on cartesan products If (X, d ) are metrc spaces for 1 n, then n Secton II4 of the lecture notes we defned three metrcs on X whose underlyng topologes are the product topology The purpose of

More information

Monte Carlo method II

Monte Carlo method II Course MP3 Lecture 5 14/11/2006 Monte Carlo method II How to put some real physcs nto the Monte Carlo method Dr James Ellott 5.1 Monte Carlo method revsted In lecture 4, we ntroduced the Monte Carlo (MC)

More information

Visualization of 2D Data By Rational Quadratic Functions

Visualization of 2D Data By Rational Quadratic Functions 7659 Englan UK Journal of Informaton an Computng cence Vol. No. 007 pp. 7-6 Vsualzaton of D Data By Ratonal Quaratc Functons Malk Zawwar Hussan + Nausheen Ayub Msbah Irsha Department of Mathematcs Unversty

More information

THE VIBRATIONS OF MOLECULES II THE CARBON DIOXIDE MOLECULE Student Instructions

THE VIBRATIONS OF MOLECULES II THE CARBON DIOXIDE MOLECULE Student Instructions THE VIBRATIONS OF MOLECULES II THE CARBON DIOXIDE MOLECULE Student Instructons by George Hardgrove Chemstry Department St. Olaf College Northfeld, MN 55057 hardgrov@lars.acc.stolaf.edu Copyrght George

More information

Georgia Tech PHYS 6124 Mathematical Methods of Physics I

Georgia Tech PHYS 6124 Mathematical Methods of Physics I Georga Tech PHYS 624 Mathematcal Methods of Physcs I Instructor: Predrag Cvtanovć Fall semester 202 Homework Set #7 due October 30 202 == show all your work for maxmum credt == put labels ttle legends

More information

Chapter 8. Potential Energy and Conservation of Energy

Chapter 8. Potential Energy and Conservation of Energy Chapter 8 Potental Energy and Conservaton of Energy In ths chapter we wll ntroduce the followng concepts: Potental Energy Conservatve and non-conservatve forces Mechancal Energy Conservaton of Mechancal

More information

BOUNDEDNESS OF THE RIESZ TRANSFORM WITH MATRIX A 2 WEIGHTS

BOUNDEDNESS OF THE RIESZ TRANSFORM WITH MATRIX A 2 WEIGHTS BOUNDEDNESS OF THE IESZ TANSFOM WITH MATIX A WEIGHTS Introducton Let L = L ( n, be the functon space wth norm (ˆ f L = f(x C dx d < For a d d matrx valued functon W : wth W (x postve sem-defnte for all

More information

Thermodynamics and statistical mechanics in materials modelling II

Thermodynamics and statistical mechanics in materials modelling II Course MP3 Lecture 8/11/006 (JAE) Course MP3 Lecture 8/11/006 Thermodynamcs and statstcal mechancs n materals modellng II A bref résumé of the physcal concepts used n materals modellng Dr James Ellott.1

More information

Solutions to Practice Problems

Solutions to Practice Problems Phys A Solutons to Practce Probles hapter Inucton an Maxwell s uatons (a) At t s, the ef has a agntue of t ag t Wb s t Wb s Wb s t Wb s V t 5 (a) Table - gves the resstvty of copper Thus, L A 8 9 5 (b)

More information

LECTURE 8-9: THE BAKER-CAMPBELL-HAUSDORFF FORMULA

LECTURE 8-9: THE BAKER-CAMPBELL-HAUSDORFF FORMULA LECTURE 8-9: THE BAKER-CAMPBELL-HAUSDORFF FORMULA As we have seen, 1. Taylor s expanson on Le group, Y ] a(y ). So f G s an abelan group, then c(g) : G G s the entty ap for all g G. As a consequence, a()

More information

Structure and Drive Paul A. Jensen Copyright July 20, 2003

Structure and Drive Paul A. Jensen Copyright July 20, 2003 Structure and Drve Paul A. Jensen Copyrght July 20, 2003 A system s made up of several operatons wth flow passng between them. The structure of the system descrbes the flow paths from nputs to outputs.

More information

PHYS 705: Classical Mechanics. Calculus of Variations II

PHYS 705: Classical Mechanics. Calculus of Variations II 1 PHYS 705: Classcal Mechancs Calculus of Varatons II 2 Calculus of Varatons: Generalzaton (no constrant yet) Suppose now that F depends on several dependent varables : We need to fnd such that has a statonary

More information

Lecture 4. Macrostates and Microstates (Ch. 2 )

Lecture 4. Macrostates and Microstates (Ch. 2 ) Lecture 4. Macrostates and Mcrostates (Ch. ) The past three lectures: we have learned about thermal energy, how t s stored at the mcroscopc level, and how t can be transferred from one system to another.

More information

1 Matrix representations of canonical matrices

1 Matrix representations of canonical matrices 1 Matrx representatons of canoncal matrces 2-d rotaton around the orgn: ( ) cos θ sn θ R 0 = sn θ cos θ 3-d rotaton around the x-axs: R x = 1 0 0 0 cos θ sn θ 0 sn θ cos θ 3-d rotaton around the y-axs:

More information

Strong Markov property: Same assertion holds for stopping times τ.

Strong Markov property: Same assertion holds for stopping times τ. Brownan moton Let X ={X t : t R + } be a real-valued stochastc process: a famlty of real random varables all defned on the same probablty space. Defne F t = nformaton avalable by observng the process up

More information

Open Systems: Chemical Potential and Partial Molar Quantities Chemical Potential

Open Systems: Chemical Potential and Partial Molar Quantities Chemical Potential Open Systems: Chemcal Potental and Partal Molar Quanttes Chemcal Potental For closed systems, we have derved the followng relatonshps: du = TdS pdv dh = TdS + Vdp da = SdT pdv dg = VdP SdT For open systems,

More information

Physics 240: Worksheet 30 Name:

Physics 240: Worksheet 30 Name: (1) One mole of an deal monatomc gas doubles ts temperature and doubles ts volume. What s the change n entropy of the gas? () 1 kg of ce at 0 0 C melts to become water at 0 0 C. What s the change n entropy

More information

Physics 5153 Classical Mechanics. Principle of Virtual Work-1

Physics 5153 Classical Mechanics. Principle of Virtual Work-1 P. Guterrez 1 Introducton Physcs 5153 Classcal Mechancs Prncple of Vrtual Work The frst varatonal prncple we encounter n mechancs s the prncple of vrtual work. It establshes the equlbrum condton of a mechancal

More information

Rate of Absorption and Stimulated Emission

Rate of Absorption and Stimulated Emission MIT Department of Chemstry 5.74, Sprng 005: Introductory Quantum Mechancs II Instructor: Professor Andre Tokmakoff p. 81 Rate of Absorpton and Stmulated Emsson The rate of absorpton nduced by the feld

More information

Continuous Time Markov Chains

Continuous Time Markov Chains Contnuous Tme Markov Chans Brth and Death Processes,Transton Probablty Functon, Kolmogorov Equatons, Lmtng Probabltes, Unformzaton Chapter 6 1 Markovan Processes State Space Parameter Space (Tme) Dscrete

More information

Supporting Information

Supporting Information Supportng Informaton 1. Moel for OH asorpton on Pt stes of varous Pt alloys We have shown prevously that the chemsorpton of OH on Pt stes of alloys can be escrbe by accountng for the nteracton of the asorbate

More information

Erratum: A Generalized Path Integral Control Approach to Reinforcement Learning

Erratum: A Generalized Path Integral Control Approach to Reinforcement Learning Journal of Machne Learnng Research 00-9 Submtted /0; Publshed 7/ Erratum: A Generalzed Path Integral Control Approach to Renforcement Learnng Evangelos ATheodorou Jonas Buchl Stefan Schaal Department of

More information

Moments of Inertia. and reminds us of the analogous equation for linear momentum p= mv, which is of the form. The kinetic energy of the body is.

Moments of Inertia. and reminds us of the analogous equation for linear momentum p= mv, which is of the form. The kinetic energy of the body is. Moments of Inerta Suppose a body s movng on a crcular path wth constant speed Let s consder two quanttes: the body s angular momentum L about the center of the crcle, and ts knetc energy T How are these

More information

On the First Integrals of KdV Equation and the Trace Formulas of Deift-Trubowitz Type

On the First Integrals of KdV Equation and the Trace Formulas of Deift-Trubowitz Type 2th WSEAS Int. Conf. on APPLIED MATHEMATICS, Caro, Egypt, December 29-3, 2007 25 On the Frst Integrals of KV Equaton an the Trace Formulas of Deft-Trubowtz Type MAYUMI OHMIYA Doshsha Unversty Department

More information

8.592J: Solutions for Assignment 7 Spring 2005

8.592J: Solutions for Assignment 7 Spring 2005 8.59J: Solutons for Assgnment 7 Sprng 5 Problem 1 (a) A flament of length l can be created by addton of a monomer to one of length l 1 (at rate a) or removal of a monomer from a flament of length l + 1

More information

Statistical mechanics handout 4

Statistical mechanics handout 4 Statstcal mechancs handout 4 Explan dfference between phase space and an. Ensembles As dscussed n handout three atoms n any physcal system can adopt any one of a large number of mcorstates. For a quantum

More information

GENERIC CONTINUOUS SPECTRUM FOR MULTI-DIMENSIONAL QUASIPERIODIC SCHRÖDINGER OPERATORS WITH ROUGH POTENTIALS

GENERIC CONTINUOUS SPECTRUM FOR MULTI-DIMENSIONAL QUASIPERIODIC SCHRÖDINGER OPERATORS WITH ROUGH POTENTIALS GENERIC CONTINUOUS SPECTRUM FOR MULTI-DIMENSIONAL QUASIPERIODIC SCHRÖDINGER OPERATORS WITH ROUGH POTENTIALS YANG FAN AND RUI HAN Abstract. We stuy the mult-mensonal operator (H xu) n = m n = um + f(t n

More information

9 Characteristic classes

9 Characteristic classes THEODORE VORONOV DIFFERENTIAL GEOMETRY. Sprng 2009 [under constructon] 9 Characterstc classes 9.1 The frst Chern class of a lne bundle Consder a complex vector bundle E B of rank p. We shall construct

More information

A PROCEDURE FOR SIMULATING THE NONLINEAR CONDUCTION HEAT TRANSFER IN A BODY WITH TEMPERATURE DEPENDENT THERMAL CONDUCTIVITY.

A PROCEDURE FOR SIMULATING THE NONLINEAR CONDUCTION HEAT TRANSFER IN A BODY WITH TEMPERATURE DEPENDENT THERMAL CONDUCTIVITY. Proceedngs of the th Brazlan Congress of Thermal Scences and Engneerng -- ENCIT 006 Braz. Soc. of Mechancal Scences and Engneerng -- ABCM, Curtba, Brazl,- Dec. 5-8, 006 A PROCEDURE FOR SIMULATING THE NONLINEAR

More information

Fluctuation Results For Quadratic Continuous-State Branching Process

Fluctuation Results For Quadratic Continuous-State Branching Process IOSR Journal of Mathematcs (IOSR-JM) e-issn: 2278-5728, p-issn: 2319-765X. Volume 13, Issue 3 Ver. III (May - June 2017), PP 54-61 www.osrjournals.org Fluctuaton Results For Quadratc Contnuous-State Branchng

More information

JAB Chain. Long-tail claims development. ASTIN - September 2005 B.Verdier A. Klinger

JAB Chain. Long-tail claims development. ASTIN - September 2005 B.Verdier A. Klinger JAB Chan Long-tal clams development ASTIN - September 2005 B.Verder A. Klnger Outlne Chan Ladder : comments A frst soluton: Munch Chan Ladder JAB Chan Chan Ladder: Comments Black lne: average pad to ncurred

More information

5 The Rational Canonical Form

5 The Rational Canonical Form 5 The Ratonal Canoncal Form Here p s a monc rreducble factor of the mnmum polynomal m T and s not necessarly of degree one Let F p denote the feld constructed earler n the course, consstng of all matrces

More information

χ x B E (c) Figure 2.1.1: (a) a material particle in a body, (b) a place in space, (c) a configuration of the body

χ x B E (c) Figure 2.1.1: (a) a material particle in a body, (b) a place in space, (c) a configuration of the body Secton.. Moton.. The Materal Body and Moton hyscal materals n the real world are modeled usng an abstract mathematcal entty called a body. Ths body conssts of an nfnte number of materal partcles. Shown

More information

Spring Force and Power

Spring Force and Power Lecture 13 Chapter 9 Sprng Force and Power Yeah, energy s better than orces. What s net? Course webste: http://aculty.uml.edu/andry_danylov/teachng/physcsi IN THIS CHAPTER, you wll learn how to solve problems

More information

Field and Wave Electromagnetic. Chapter.4

Field and Wave Electromagnetic. Chapter.4 Fel an Wave Electromagnetc Chapter.4 Soluton of electrostatc Problems Posson s s an Laplace s Equatons D = ρ E = E = V D = ε E : Two funamental equatons for electrostatc problem Where, V s scalar electrc

More information

A new Approach for Solving Linear Ordinary Differential Equations

A new Approach for Solving Linear Ordinary Differential Equations , ISSN 974-57X (Onlne), ISSN 974-5718 (Prnt), Vol. ; Issue No. 1; Year 14, Copyrght 13-14 by CESER PUBLICATIONS A new Approach for Solvng Lnear Ordnary Dfferental Equatons Fawz Abdelwahd Department of

More information

Chapter 3 and Chapter 4

Chapter 3 and Chapter 4 Chapter 3 and Chapter 4 Chapter 3 Energy 3. Introducton:Work Work W s energy transerred to or rom an object by means o a orce actng on the object. Energy transerred to the object s postve work, and energy

More information

Bounds for Spectral Radius of Various Matrices Associated With Graphs

Bounds for Spectral Radius of Various Matrices Associated With Graphs 45 5 Vol.45, No.5 016 9 AVANCES IN MATHEMATICS (CHINA) Sep., 016 o: 10.11845/sxjz.015015b Bouns for Spectral Raus of Varous Matrces Assocate Wth Graphs CUI Shuyu 1, TIAN Guxan, (1. Xngzh College, Zhejang

More information

CHAPTER 5: Lie Differentiation and Angular Momentum

CHAPTER 5: Lie Differentiation and Angular Momentum CHAPTER 5: Le Dfferentaton and Angular Momentum Jose G. Vargas 1 Le dfferentaton Kähler s theory of angular momentum s a specalzaton of hs approach to Le dfferentaton. We could deal wth the former drectly,

More information

CE 530 Molecular Simulation

CE 530 Molecular Simulation CE 530 Molecular Smulaton Lecture 3 Molecular Dynamcs n Other Ensembles Davd A. Kofke Department of Chemcal Engneerng SUY Buffalo kofke@eng.buffalo.edu Revew Molecular dynamcs s a numercal ntegraton of

More information

Random Walks on Digraphs

Random Walks on Digraphs Random Walks on Dgraphs J. J. P. Veerman October 23, 27 Introducton Let V = {, n} be a vertex set and S a non-negatve row-stochastc matrx (.e. rows sum to ). V and S defne a dgraph G = G(V, S) and a drected

More information

Physics 607 Exam 1. ( ) = 1, Γ( z +1) = zγ( z) x n e x2 dx = 1. e x2

Physics 607 Exam 1. ( ) = 1, Γ( z +1) = zγ( z) x n e x2 dx = 1. e x2 Physcs 607 Exam 1 Please be well-organzed, and show all sgnfcant steps clearly n all problems. You are graded on your wor, so please do not just wrte down answers wth no explanaton! Do all your wor on

More information

On Liu Estimators for the Logit Regression Model

On Liu Estimators for the Logit Regression Model CESIS Electronc Workng Paper Seres Paper No. 59 On Lu Estmators for the Logt Regresson Moel Krstofer Månsson B. M. Golam Kbra October 011 The Royal Insttute of technology Centre of Excellence for Scence

More information

j) = 1 (note sigma notation) ii. Continuous random variable (e.g. Normal distribution) 1. density function: f ( x) 0 and f ( x) dx = 1

j) = 1 (note sigma notation) ii. Continuous random variable (e.g. Normal distribution) 1. density function: f ( x) 0 and f ( x) dx = 1 Random varables Measure of central tendences and varablty (means and varances) Jont densty functons and ndependence Measures of assocaton (covarance and correlaton) Interestng result Condtonal dstrbutons

More information

Information Acquisition in Auctions: Sealed Bids vs. Open Bids

Information Acquisition in Auctions: Sealed Bids vs. Open Bids Informaton Acquston n Auctons: Seale Bs vs. Open Bs Ángel Hernano-Vecana Unversa e Alcante Uner Revson, Do Not Crculate Aprl 1, 2005 Abstract Ths paper stues the ncentves of a ber to acqure nformaton n

More information

12. The Hamilton-Jacobi Equation Michael Fowler

12. The Hamilton-Jacobi Equation Michael Fowler 1. The Hamlton-Jacob Equaton Mchael Fowler Back to Confguraton Space We ve establshed that the acton, regarded as a functon of ts coordnate endponts and tme, satsfes ( ) ( ) S q, t / t+ H qpt,, = 0, and

More information

arxiv:math.nt/ v1 16 Feb 2005

arxiv:math.nt/ v1 16 Feb 2005 A NOTE ON q-bernoulli NUMBERS AND POLYNOMIALS arv:math.nt/0502333 v1 16 Feb 2005 Taekyun Km Insttute of Scence Eucaton, Kongju Natonal Unversty, Kongju 314-701, S. Korea Abstract. By usng q-ntegraton,

More information

One Dimensional Axial Deformations

One Dimensional Axial Deformations One Dmensonal al Deformatons In ths secton, a specfc smple geometr s consdered, that of a long and thn straght component loaded n such a wa that t deforms n the aal drecton onl. The -as s taken as the

More information

Numerical Heat and Mass Transfer

Numerical Heat and Mass Transfer Master degree n Mechancal Engneerng Numercal Heat and Mass Transfer 06-Fnte-Dfference Method (One-dmensonal, steady state heat conducton) Fausto Arpno f.arpno@uncas.t Introducton Why we use models and

More information