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Typical and rare fluctuations in nonlinear driven diffusive systems with dissipation

Hurtado Fernández, Pablo Ignacio; Lasanta Becerra, Antonio; Prados Montaño, Antonio

Abstract

We consider fluctuations of the dissipated energy in nonlinear driven diffusive systems subject to bulk dissipation and boundary driving. With this aim, we extend the recently introduced macroscopic fluctuation theory to nonlinear driven dissipative media, starting from the fluctuating hydrodynamic equations describing the system mesoscopic evolution. Interestingly, the action associated with a path in mesoscopic phase space, from which large-deviation functions for macroscopic observables can be derived, has the same simple form as in nondissipative systems. This is a consequence of the quasielasticity of microscopic dynamics, required in order to have a nontrivial competition between diffusion and dissipation at the mesoscale. Euler-Lagrange equations for the optimal density and current fields that sustain an arbitrary dissipation fluctuation are also derived. A perturbative solution thereof shows that the probability distribution of small fluctuations is always Gaussian, as expected from the central limit theorem. On the other hand, strong separation from the Gaussian behavior is observed for large fluctuations, with a distribution which shows no negative branch, thus violating the Gallavotti-Cohen fluctuation theorem, as expected from the irreversibility of the dynamics. The dissipation large-deviation function exhibits simple and general scaling forms for weakly and strongly dissipative systems, with large fluctuations favored in the former case but heavily suppressed in the latter. We apply our results to a general class of diffusive lattice models for which dissipation, nonlinear diffusion, and driving are the key ingredients. The theoretical predictions are compared to extensive numerical simulations of the microscopic models, and excellent agreement is found. Interestingly, the large-deviation function is in some cases nonconvex beyond some dissipation. These results show that a suitable generalization of macroscopic fluctuation theory is capable of describing in detail the fluctuating behavior of nonlinear driven dissipative media.

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Typical and a e luc ua ions in nonlinea d i en di usi e sys ems wi h dissipa ion Pablo I. Hu ado∗ Ins i u o Ca los I de F´ısica Te´o ica y Compu acional, and Depa amen o de Elec omagne ismo y F´ısica de la Ma e ia, Uni e sidad de G anada, G anada 18071, Spain A. Lasan a†and A. P ados‡ F´ısica Te´o ica, Uni e sidad de Se illa, Apdo. de Co eos 1065, Se illa 41080, Spain (Da ed: Feb ua y 27, 2013) We conside luc ua ions o he dissipa ed ene gy in nonlinea d i en di usi e sys ems subjec o bulk dissipa ion and bounda y d i ing. Wi h his aim, we ex end he ecen ly-in oduced mac o- scopic luc ua ion heo y o nonlinea d i en dissipa i e media, s a ing om he luc ua ing hyd o- dynamic equa ions desc ibing he sys em mesoscopic e olu ion. In e es ingly, he ac ion associa ed o a pa h in mesoscopic phase-space, om which la ge-de ia ion unc ions o mac oscopic obse - ables can be de i ed, has he same simple o m as in non-dissipa i e sys ems. This is a consequence o he quasi-elas ici y o mic oscopic dynamics, equi ed in o de o ha e a non i ial compe i ion be ween di usion and dissipa ion a he mesoscale. Eule -Lag ange equa ions o he op imal densi y and cu en ields ha sus ain an a bi a y dissipa ion luc ua ion a e also de i ed. A pe u ba i e solu ion he eo shows ha he p obabili y dis ibu ion o small luc ua ions is always gaussian, as expec ed om he cen al limi heo em. On he o he hand, s ong sepa a ion om he gaussian beha io is obse ed o la ge luc ua ions, wi h a dis ibu ion which shows no nega i e b anch, hus iola ing he Galla o i-Cohen luc ua ion heo em as expec ed om he i e e sibili y o he dynamics. The dissipa ion la ge-de ia ion unc ion exhibi s simple and gene al scaling o ms o weakly and s ongly dissipa i e sys ems, wi h la ge luc ua ions a o ed in he o me case bu hea ily sup essed in he la e . We apply ou esul s o a gene al class o di usi e la ice models o which dissipa ion, nonlinea di usion and d i ing a e he key ing edien s. The heo e ical p e- dic ions a e compa ed o ex ensi e nume ical simula ions o he mic oscopic models, and excellen ag eemen is ound. In e es ingly, he la ge-de ia ion unc ion is in some cases non-con ex beyond some dissipa ion. These esul s show ha a sui able gene aliza ion o mac oscopic luc ua ion heo y is capable o desc ibing in de ail he luc ua ing beha io o nonlinea d i en dissipa i e media. I. INTRODUCTION Fluc ua ions a e inhe en o many physical phenom- ena, e lec ing he hec ic mic oscopic dynamics a mac o- scopic scales. In spi e o hei appa en andom o i- gin, essen ial physical in o ma ion is encoded he ein [1]. A classical example is he luc ua ion-dissipa ion heo- em, which ela es he linea esponse o a sys em o an ex e nal pe u ba ion o he luc ua ion p ope ies o he sys em in he mal equilib ium [2, 3]. Mo e e- cen ly, he in es iga ion o gene al p ope ies o luc u- a ions in nonequilib ium s eady s a es is opening new pa hs o unde s anding physics a om equilib ium [4– 14]. The s udy o luc ua ion s a is ics o mac oscopic obse ables p o ides an al e na i e pa h o ob ain he - modynamic po en ials, a complemen a y app oach o he usual ensemble desc ip ion. This obse a ion, alid bo h in equilib ium [1] and nonequilib ium [7, 9], is mos ele- an in he la e case because no gene al bo om-up ap- p oach, connec ing mic oscopic dynamics o mac oscopic nonequilib ium p ope ies, has been ound ye . In his way, he la ge de ia ion unc ion (LDF) con olling he ∗ph[email p o ec ed] †alasan[email p o ec ed] ‡[email p o ec ed] s a is ics o hese luc ua ions may play in nonequilib- ium s a is ical mechanics a ole simila o he equilib- ium ee ene gy [4, 10]. A cen al poin o his eme g- ing pa adigm is he iden i ica ion o he ele an mac o- scopic obse ables cha ac e izing he ou o equilib ium beha io o he sys em a hand. The sys em dynamics o en conse es locally some magni ude (a densi y o pa - icles, ene gy, momen um, cha ge, e c.), and he essen ial nonequilib ium obse able is hus he cu en o lux sus- ained by he sys em when subjec o bounda y-induced g adien s o ex e nal ields. The e o e, he unde s anding o cu en s a is ics in e ms o he mic oscopic dynam- ics ep esen s one o he main p oblems o nonequilib- ium s a is ical mechanics, igge ing an in ense esea ch e o in ecen yea s. In his con ex , key esul s a e he Galla o i-Cohen luc ua ion heo em [5], which e- la es he p obabili y o obse ing a gi en cu en luc u- a ion ~ Jwi h he p obabili y o he e e sed e en −~ J, o he ecen ly-in oduced Isome ic Fluc ua ion Rela ion [14], which ela es he p obabili y o any pai o isome - ic cu en luc ua ions ( ~ J, ~ J0), wi h |~ J|=|~ J0|. These in iguing “symme ies” appea as a consequence o he in a iance unde ime e e sal o he unde lying mic o- scopic dynamics. These and o he ecen esul s [5–14] a e howe e es ic ed o nonequilib ium “conse a i e” sys ems cha ac e ized by cu en s. On he o he hand, many nonequilib ium sys ems a e inhe en ly dissipa i e, ha is, hey need a con inuous in- a Xi :1302.6544 1 [cond-ma .s a -mech] 26 Feb 2013 2 pu o ene gy in o de o each a s eady s a e. In his class o sys ems, he ele an mac oscopic obse able is no only he cu en : he dissipa ed ene gy is also expec ed o play a main ole. These sys ems include g anula media [16], dissipa i e biophysical sys ems [18], u bulen luids [19], ac i e ma e [20], chemical eac ions [21], popula- ion dynamics [22], e c. In gene al, his class comp ises all so o eac ion-di usion sys ems whe e dissipa ion, di usion and d i ing a e he main physical mechanisms. Fluc ua ions in dissipa i e media ha e been much less in- es iga ed, mos p obably because hei physics is mo e complica ed as a esul o he i e e sibili y o hei mi- c oscopic dynamics. In p inciple, mos o he esul s o nonequilib ium s eady s a es we ha e e e ed o in he p e ious pa ag aph a e no applicable o dissipa i e sys- ems, since hey s em om he e e sibili y o he un- de lying mic oscopic dynamics in he conse a i e case. The e o e, a ques ion na u ally a ises as o whe he i is possible o ex end some o hese ideas o dissipa i e me- dia. One o he main goals o he p esen pape is o gi e a (pa ial) answe o his ques ion. In his wo k, we analyze bo h ypical and a e luc- ua ions in nonlinea d i en di usi e sys ems wi h dis- sipa ion. This is done by combining a sui able gene al- iza ion o mac oscopic luc ua ion heo y (MFT) [7] o he ealm o dissipa i e media, and ex ensi e nume ical simula ions o a pa icula albei b oad class o mic o- scopic models. Ou s a ing poin is a gene al luc u- a ing balance equa ion o he (ene gy) densi y, wi h a d i e m p opo ional o he spa ial de i a i e o he cu en and a sink e m. This mesoscopic desc ip ion is expec ed o be alid o many d i en dissipa i e media o e a ce ain “hyd odynamic” ime scale, much la ge han he one cha ac e is ic o he mic oscopic dynam- ics. O e he as (mic oscopic) ime scale, he sys em o ge s he ini ial condi ions and elaxes o a local equi- lib ium s a e in which all he p ope ies o he sys em become unc ionals o a ew “hyd odynamic” ields, he e he densi y, he cu en and he dissipa ion. A e wa ds, o e he much slowe hyd odynamic ime scale, he sys- em e en ually app oaches he s eady s a e ollowing he mesoscopic balance equa ion. We ocus on he luc ua- ions o he sys em in his nonequilib ium s eady s a e, in which he dissipa ion and he injec ion o ene gy bal- ance each o he . By using his luc ua ing hyd odynamic pic u e oge he wi h a pa h in eg al o mula ion, we de- i e a gene al o m o he ac ion associa ed o a his o y o he densi y, cu en and dissipa ion ields ( ha is, a pa h in mesoscopic phase space). Rema kably, his ac ion akes he same o m as in conse a i e nonequilib ium sys ems [7–14], simpli ying he analysis in he dissipa i e case. This is bo h an impo an and a su p ising esul , which s ems om he quasi-elas ic cha ac e o he un- de lying mic oscopic dynamics in he la ge sys em size limi . This quasi-elas ici y is necessa y in o de o ha e a balanced compe i ion be ween di usion and dissipa ion a he mesoscopic le el. F om he de i ed ac ion unc- ional, and using he ecen ly-in oduced addi i i y con- jec u e [8, 11–13], a gene al o m o he LDF o he dis- sipa ed ene gy is de i ed, wi h a “Lag angian” including second o de de i a i es. The e om, we de i e he Eule - Lag ange equa ion (a ou h-o de di e en ial equa ion) o he op imal ields esponsible o an a bi a y luc- ua ion. This Lag angian a ia ional p oblem can be mapped on o an equi alen Hamil onian p oblem ( ou coupled i s -o de di e en ial equa ions) which u ns ou o simpli y he analysis. We use his Hamil onian pic- u e o analyze in de ail h ee di e en limi s, namely small luc ua ions a ound he a e age o a bi a y dissi- pa ion coe icien , and he whole spec um o luc ua ions ( ypical and a e) o weakly- and s ongly-dissipa i e sys ems. The s a is ics o ypical ( ha is, small) luc- ua ions is gaussian as expec ed om he cen al limi heo em. Howe e , s ong sepa a ion om gaussian be- ha io is obse ed o a e luc ua ions, wi h a dis i- bu ion which shows no nega i e b anch, hus iola ing he Galla o i-Cohen luc ua ion heo em as o he wise expec ed om he i e e sible cha ac e o mic oscopic dynamics. We s udy in gene al he weakly-dissipa i e sys em limi using a singula pe u ba ion expansion. This yields a simple scaling o m o he dissipa ion LDF, showing ha la ge dissipa ion luc ua ions a e a o ed in his weakly-dissipa i e limi , wi h a LDF which ex ends o e a b oad egime and decays slowly in he a posi i e ail. On he o he hand, a di e en pe u ba i e analy- sis in he s ongly-dissipa i e sys em limi can be ca ied based on he o ma ion o bounda y ene gy laye s in his limi o all luc ua ions, which e ec i ely decouples he sys em in wo almos -independen pa s. This analysis shows ha la ge dissipa ion luc ua ions a e hea ily sup- p essed in his limi , as opposed o he weakly-dissipa i e egime esul . We apply his heo e ical scheme o a gene al class o d-dimensional dissipa i e la ice models wi h s ochas- ic mic oscopic dynamics, o which he hyd odynamic luc ua ing pic u e used abo e as s a ing poin can be demons a ed in he la ge sys em size limi [39] (we will ocus he e in one dimension o simplici y). In hese mod- els he e is one pa icle a each la ice si e, cha ac e ized by i s ene gy. Dynamics is s ochas ic and p oceeds ia collisions be ween nea es neighbo s, a a a e which de- pends on he ene gy o he colliding pai . In a collision, a ce ain ac ion o he pai ene gy is dissipa ed, and he emaining ene gy is andomly dis ibu ed wi hin he pai . This mechanism gi es ise o a nonlinea compe i- ion be ween di usion and dissipa ion in he mac oscopic limi , p o ided ha he mic oscopic dissipa ion coe i- cien scales adequa ely wi h he sys em size. This class o models ep esen s a a coa se-g ained le el he physics o many eac ion-di usion sys ems o echnological as well as heo e ical in e es . In pa icula , when he collid- ing pai is chosen comple ely a andom, independen ly o he alue o i s ene gy, he Kipnis-Ma chio o-P esu i (KMP) model [23] o hea conduc ion is eco e ed in he conse a i e case. The KMP model plays a main ole in nonequilib ium s a is ical physics as a ouchs one o es 3 heo e ical ad ances [5, 6, 8, 11–15, 23]. Ou gene al class o models con ains he essen ial ing edien s cha - ac e izing mos dissipa i e media, namely: (i) di usi e dynamics, (ii) bulk dissipa ion, and (iii) bounda y injec- ion. The chances a e ha ou esul s emain alid o mo e complex dissipa i e media desc ibed a he meso- scopic le el by a simila e olu ion equa ion. He e we epo analy ical and simula ion esul s o he s a is ics o he dissipa ed ene gy in his gene al class o models using bo h s anda d simula ions and an ad anced Mon e Ca lo me hod [27]. The la e allows he sampling o he ails o he dis ibu ion, and implies simula ing a la ge numbe o clones o he sys em. The plan o he pape is as ollows. Sec ion II desc ibes a sui able gene aliza ion o mac oscopic luc ua ion he- o y o nonlinea d i en dissipa i e media. The la ge- de ia ion s a is ics o he dissipa ed ene gy, a cen al obse able in his ype o sys ems, is in es iga ed he e wi hin bo h he Lag angian and Hamil onian equi alen amewo ks. Sec ion III is de o ed o he de ailed s udy o di e en asymp o ic beha io s wi hin he Hamil onian o mula ion, which u ns ou o simpli y he analysis. In sec ion IV we de ine a gene al class o mic oscopic la ice models whose s ochas ic dynamics is dissipa i e [25, 39]. The heo e ical amewo k de eloped in he p e ious sec- ions is applied o his amily o models in sec ion V, and he LDF o he dissipa ed ene gy is explici ly wo ked ou . The analy ical p edic ions a e compa ed o ex en- si e nume ical simula ions o he mic oscopic models, and a e y good ag eemen is ound. A summa y o he main esul s o he pape , oge he wi h a physical discussion he eo , is gi en in sec. VI. Finally, he appendix deals wi h some echnical de ails ha , o he sake o cla i y, we ha e p e e ed o omi in he main ex . II. MACROSCOPIC FLUCTUATION THEORY FOR DRIVEN DISSIPATIVE SYSTEMS In his wo k, we will analyze a gene al class o sys- ems whose dynamics a he mesoscale is desc ibed by he ollowing luc ua ing e olu ion equa ion ∂ ρ(x, ) = −∂xj(x, ) + d(x, ).(2.1) We ocus he e in one dimension o simplici y, bu ou analysis can be ca ied ou in an equi alen manne in d- dimensions. In eq. (2.1), ρ(x, ), j(x, ) and d(x, ) a e he densi y, cu en and dissipa ion ields, espec i ely, and and x∈[−1/2,1/2] a e he mac oscopic ime and space a iables, ob ained a e a di usi e scaling limi such ha x= ˜x/L and =˜ /L2, wi h ˜xand ˜ he mic oscopic space and ime a iables and L he sys em leng h. These coa se-g ained spa ial and empo al scales eme ge om a sui able con inuum limi o he unde lying mic oscopic dynamics [39]. The cu en ield is a luc ua ing quan i y, and can be w i en as j(x, ) = −D(ρ)∂xρ(x, ) + ξ(x, ).(2.2) The i s e m is Fou ie ’s law, whe e D(ρ) is he di u- si i y (which migh be a nonlinea unc ion o he local densi y), and ξ(x, ) is he cu en noise ha is gaussian and whi e, hξ(x, )i= 0,hξ(x, )ξ(x0, 0)i=σ(ρ) Lδ(x−x0)δ( − 0), (2.3) wi h σ(ρ) being he so-called mobili y. This gaussian luc ua ing ield is expec ed o eme ge o mos si ua- ions in he app op ia e mesoscopic limi as a esul o a cen al limi heo em: al hough mic oscopic in e ac ions o a gi en model can be highly complica ed, he ensuing luc ua ions o he slow hyd odynamic ields esul om he sum o an eno mous amoun o andom e en s a he mic oscale which gi e ise o gaussian s a is ics, wi h an ampli ude o he o de o L−1/2, in he mesoscopic egime in which eq. (2.1) eme ges. On he o he hand, he dissipa ion ield d(x, ) is d(x, ) = −νR(ρ(x, )),(2.4) whe e νis he mac oscopic dissipa ion coe icien , and R(ρ) is a ce ain unc ion o he densi y ρ. Fo he calcu- la ions which ollow h oughou his sec ion, i is use ul o in oduce a new a iable y, such ha y=R(ρ),(2.5a) d(x, ) = −νy(x, ).(2.5b) The dissipa ion ield is p esen a he mesoscopic le el because he mic oscopic s ochas ic dynamics o he mod- els o in e es dissipa es some ene gy, ha is, we ha e he equi alen o a mic oscopic es i u ion coe icien α, so ha he amoun o dissipa ed ene gy is p opo ional o 1 −α. The mac oscopic dissipa ion coe icien νis hus p opo ional o 1 −α. No e howe e ha he e is no noise e m in eq. (2.4), so he local luc ua ions o he dissipa ion ield a e ensla ed o hose o he densi y ρ(x, ). The physical eason o his beha io is ha he mic oscopic dynamics mus be quasi-elas ic in o de o ensu e ha dissipa ion and di usion ake place o e he same ime scale in he he modynamic limi . Typically, 1−αmus scale as L−2 ha is he o de o magni ude o he di usi e e m in a sys em o leng h L[25, 39]. The bounda y condi ions o eq (2.1) depend on he physical si ua ion o in e es . Fo ins ance, we may con- side ha he sys em is kep in con ac wi h wo he - mal ese oi s a x=±1/2, a he same empe a u e T, so ρ(±1/2, ) = T. In ha case, he sys em e en ually eaches a s eady s a e in he long ime limi , o which he injec ion o ene gy h ough he bounda ies and he dissipa ion balance each o he . The s a iona y a e age (mac oscopic) solu ion o (2.1) e i ies j0 a (x) + νR(ρa (x)) = 0, ja (x) = −D(ρa (x))ρ0 a (x), (2.6) whe e he p ime indica es spa ial de i a i e. The i s equa ion in (2.6) ollows om (2.1), and he second one 4 is Fou ie ’s law o he a e ages. Equi alen ly, a closed second-o de equa ion o ρmay be w i en, d dx [D(ρa )ρ0 a ] = νR(ρa ),(2.7) wi h he bounda y condi ions ρa (±1/2) = T. Equa ions (2.6) and (2.7) can be also w i en o he a iable y in oduced in eq. (2.5a), j0 a (x) + νya (x)=0, ja (x) = −ˆ D(ya (x))y0 a (x), (2.8) wi h ˆ D(y) = dy dρ−1 D(ρ),(2.9) since ja (x, ) = −ˆ D(ya )∂xy(x, ).(2.10) Thus ˆ Dis an “e ec i e” di usi i y: i is he ac o mul i- plying he spa ial g adien when w i ing Fou ie ’s equa- ion in e ms o he new a iable y. Equa ion (2.8) can also be summa ized in a second o de di e en ial equa- ion o ya , hˆ D(ya )y0 a i0=νya , ya (±1/2) = R(T).(2.11) In e es ingly, i can be shown (see below) ha ˆ Dis con- s an , independen o y, whene e y=R(ρ) depends al- geb aically in ρ, a case we will s udy in de ail in sec ion V. This obse a ion conside ably simpli ies he subsequen analysis. The p obabili y o obse ing a his o y {ρ(x, ), j(x, )}τ 0 o du a ion τ o he densi y and cu en ields, s a ing om a gi en ini ial s a e, can be w i en now as a pa h in eg al o e all he possible ealiza ions o he cu en noise {ξ(x, )}τ 0, weigh ed by i s gaussian measu e, and es ic ed o hose ealiza ions compa ible wi h eq. (2.1) a e e y poin o space and ime [12]. This p obabili y hence obeys a la ge de ia ion p inciple o he o m [4, 7– 13, 25] P({ρ, j}τ 0)∼exp (+LIτ[ρ, j]) ,(2.12) wi h a a e unc ional [7, 9] Iτ[ρ, j] = −Zτ 0 d Z1/2 −1/2 dx [j+D(ρ)∂xρ]2 2σ(ρ)(2.13) wi h ρ(x, ) and j(x, ) coupled ia he balance equa- ion (2.1), and he dissipa ion d(x, ) gi en in e ms o ρ(x, ) by (2.4). Equa ion (2.13) exp esses he gaussian na u e o he local cu en luc ua ions a ound i s a e - age (Fou ie ’s law) beha io . The unc ional in (2.13) is he same as in he conse a i e case ( ha is, wi h no bulk dissipa ion), due o he quasi-elas ici y o he mic o- scopic dynamics, which makes he cu en noise be he FIG. 1. (Colo online) Con e gence o he space& ime- in eg a ed dissipa ion o i s ensemble alue o many di e en ealiza ions, and ske ch o he p obabili y concen a ion as ime inc eases, associa ed wi h he la ge de ia ion p inciple, eq. (2.15). only ele an one in he hyd odynamic desc ip ion, see discussion in sec ion IV [39]. We ocus now on he luc- ua ions o he dissipa ed ene gy, in eg a ed o e space and ime d=−1 τZτ 0 d Z1/2 −1/2 dx d(x, ) (2.14) =ν τZτ 0 d Z1/2 −1/2 dx R(ρ(x, )) >0, whe e we ha e in oduced a minus sign o he sake o con enience, in o de o make dposi i e. As discussed abo e, his is a undamen al obse able o unde s and he s a is ical physics o d i en dissipa i e media. The p obabili y o such a luc ua ion Pτ(d) scales in he long- ime limi as Pτ(d)∼exp [+τL G(d)] , G(d) = 1 τmax ρ,j Iτ[ρ, j]. (2.15) This de ines a new la ge de ia ion p inciple o d, see Fig. 1, such ha G(d) is ob ained om Iτ[ρ, j] ia a saddle- poin calcula ion o long imes ( ha is, i ollows om he con ac ion o he o iginal a e unc ion Iτ[10]). The op imal ields ρ0(x, ;d), j0(x, ;d) which a e he solu ion o he a ia ional p oblem (2.15) mus be consis en wi h he p esc ibed alue o he dissipa ed ene gy din (2.14), and a e also ela ed by he balance equa ion (2.1), sup- plemen ed wi h (2.4) and he app op ia e bounda y con- di ions. These op imal ields can be in e p e ed as he ones adop ed by he sys em o sus ain a long- ime luc- ua ion o he space& ime-in eg a ed dissipa ion d. Fo he sake o simplici y, we ha e no explici ly in oduced in ou no a ion he pa ame ic dependence o he LDF G(d) and he associa ed op imal p o iles on he bound- a y empe a u e T, hough his should be bo ne in mind o la e e e ence. 5 A. The cons ained a ia ional p oblem We now assume ha hese op imal p o iles do no de- pend on ime. In conse a i e sys ems, his conjec u e has been shown [7] o be equi alen o he addi i i y p in- ciple ecen ly in oduced o s udy cu en luc ua ions in di usi e media [8]. The alidi y o his addi i i y sce- na io has been ecen ly con i med in ex ensi e nume ical simula ions o a b oad in e al o luc ua ions [11, 14], hough i may e en ually b eak down o ex eme luc u- a ions ia a dynamic phase ansi ion [30, 31]. As we will see below, he applicabili y o his gene aliza ion o he addi i i y conjec u e o dissipa i e sys ems is well sup- po ed by nume ical e idence. Unde his simpli ying hy- po hesis, he luc ua ing balance equa ion (2.1) educes o j0(x) + νy(x)=0, y(x) = −j0(x)/ν, (2.16) making use o he a iable yde ined in eq. (2.5a). Mo e- o e , we can in eg a e o e ime in he de ini ion (2.14) o he in eg a ed dissipa ion d, d=νZ1/2 −1/2 dx y(x),(2.17a) o , equi alen ly, d=−Z1/2 −1/2 dx j0(x) = j(−1/2) −j(1/2) >0.(2.17b) In his way, by using he addi i i y hypo hesis we can elimina e ρ(x) and w i e G(d) in e ms o only one a i- able as G(d) = −min j(x)S[j],wi h S[j] = Z1/2 −1/2 dx L(j, j0j00), (2.18a) L(j, j0, j00) = [j−ˆ D(−j0/ν)j00 ν]2 2ˆσ(−j0/ν),(2.18b) whe e ˆ Dis he e ec i e di usi i y de ined in eq. (2.9), and ˆσis he mobili y, de ined in eq. (2.3), bo h w i en in e ms o y=−j0/ν. The unc ion L(j, j0, j00) is a gene alized Lag angian wi h dependence on i s and also second o de de i a i es, see he appendix. We ha e o ind he op imal cu en p o ile j0(x;d), ha is, he solu ion o he a ia ional p oblem (2.18), wi h he cons ain ha he in eg a ed dissipa ion dhas a de ini e alue, as gi en by (2.17). The e o e we mus use he Lag ange mul iplie p ocedu e [32, 33], ha is, look o an ex emum o Sλ[j] = S[j]−λZ1/2 −1/2 dx (j0+d) (2.19) =Z1/2 −1/2 dx Lλ(j, j0, j00) (2.20) whe e Lλ(j, j0, j00) = L(j, j0, j00)−λ(j0+d),(2.21) wi h λbeing he Lag ange mul iplie . The ex emum o Sλ ollows om wo condi ions: (i) δSλ= 0, and (ii) ∂Sλ/∂λ = 0. The i s condi ion implies d2 dx2∂Lλ ∂j00 −d dx ∂Lλ ∂j0+∂Lλ ∂j = 0,(2.22) which is he Eule -Lag ange equa ion o a Lag angian Lλcon aining second o de de i a i es (see he ap- pendix). Condi ion (ii) leads o he cons ain on he in eg a ed dissipa ion, gi en by Eq. (2.17). The bound- a y condi ions o he Eule -Lag ange equa ion a e j0(±1/2) = −νR(T), pλj(±1/2) = 0.(2.23) We ha e in oduced he gene alized momen um pjcon- juga e o j, o he new Lag angian Lλ, as pλj =∂Lλ ∂j0−d dx ∂Lλ ∂j00 .(2.24) These bounda y condi ions a ise om (1) he alues o he densi y a he bounda ies, which a e p esc ibed, ρ(±1/2) = T, and (2) he condi ion δSλ= 0, which p o- ides he addi ional needed condi ions when he e a e no enough alues o he a iables ixed a he bound- a ies (see he appendix, and also [33]). B. Mapping he cons ain o bounda y condi ions Taking in o accoun he ela ion be ween Lλand L, Eq. (2.21), he gene alized momen um pλj e i ies pλj =pj−λ, (2.25) whe e pjis he gene alized momen um o he Lag angian L, ha is, pj=∂L ∂j0−d dx ∂L ∂j00 .(2.26) Mo eo e , he Eule -Lag ange equa ion (2.22) implies ha d2 dx2∂L ∂j00 −d dx ∂L ∂j0+∂L ∂j = 0,(2.27) ha is, we also ob ain he Eule -Lag ange equa ion co - esponding o he o iginal Lag angian L. The de ini ion o pjin eq. (2.26) gua an ees ha p0 j=∂L/∂j, as in he case o he usual a ia ional p oblem wi h a Lag angian including only i s -o de de i a i es. Now, he bounda y condi ions can be w i en as j0(±1/2) = −νR(T), pj(±1/2) = λ, (2.28) 6 which ollow om Eqs. (2.23) and (2.25). The abo e esul imply ha ou cons ained a ia ional p oblem can be mapped on o a uncons ained a ia ional p ob- lem wi h he o iginal Lag angian L, i s associa ed Eule - Lag ange equa ion (2.27) and he bounda y condi ions (2.28). The unknown alue λ o he gene alized momen- um pja he bounda ies mus be de e mined by impos- ing he p esc ibed alue o he in eg a ed dissipa ion, as gi en by Eq. (2.17), ha is, λ=λ(d). In pa icula , λ= 0 is equi alen o imposing no es ic ions on he in eg a ed dissipa ion, so ha we should eco e (as we will see la e ) he a e age p o iles and dissipa ion in his case. In his sense, a non-ze o alue o λ=pj(±1/2) is a measu e o he depa u e om he a e age hyd odynamic beha iou . On physical g ounds, we expec he co esponding op- imal densi y p o ile o be an e en unc ion o x, because o he symme y o ou sys em a ound he cen e x= 0. In ac , he Eule -Lag ange equa ion (2.27) admi s so- lu ions wi h well-de ined pa i y. Since he Lag angian has he symme y p ope y L(−j, j0,−j00) = L(j, j0, j00), Eq. (2.27) has solu ions wi h jbeing an odd unc ion o x, which implies ha y(and he e o e ρ) is an e en unc ion o x. F om now on, we will es ic ou sel es o hese symme ic solu ions o he a ia ional p oblem. Thus, Eq. (2.17) educes o d= 2j(−1/2; d) = −2j(1/2; d),(2.29) so he bounda y condi ions o he Eule -Lag ange equa- ion boil down o j0(±1/2; d) = −νR(T), j(−1/2; d) = −j(1/2; d) = d/2, (2.30) i.e. much simple han Eq. (2.28). This ollows om pj being an e en unc ion o x o he solu ions wi h well- de ined pa i y we a e conside ing. In his way, symme y conside a ions lead o he simple bounda y condi ions (2.30), which in u n allow us o ge id o he Lag ange mul iplie λ. In summa y, we ha e mapped ou o iginal a ia ional p oblem wi h he subsidia y condi ion ha he dissipa ion has a gi en alue o an uncons ained a i- a ional p oblem, wi h he o iginal Lag angian L(j, j0, j00) and p esc ibed alues o jand j0a he bounda ies. Once he op imal cu en p o ile is ob ained, he op- imal densi y p o ile can be calcula ed om he balance equa ion (2.16). O cou se, he densi y p o ile so ob- ained obeys he bounda y condi ions ρ(±1/2; d) = T. I mus be s essed ha he Eule -Lag ange equa ion (2.27) wi h bounda y condi ions (2.30) gi es he co ec solu ion o he cons ained a ia ional p oblem when he op imal p o iles ha e a well-de ined pa i y. Ne e heless, one canno ule ou he exis ence o symme y-b eaking solu ions wi hou well-de ined pa i y, since in gene al a a ia ional p oblem may ha e mul iple solu ions [32]. In ha case, one mus sol e he mo e complex a ia ional p oblem comp ising he Eule -Lag ange equa ion (2.27) wi h he bounda y condi ions (2.28), whe e he Lag ange mul iplie λ=λ(d) is de e mined by imposing he con- s ain (2.17). We no e howe e ha nume ical e idence s ongly suppo s he alidi y o symme ic solu ions (see below). The LDF G(d) depends on dand T h ough he bound- a y condi ions ( ecall ha i s T-dependence has been omi ed in no a ion o simplici y). The de i a ion o he Eule -Lag ange equa ion (2.27) (see he appendix) shows ha , o he solu ions wi h well-de ined pa i y, δG(d) = pj(1/2)δd + 2pj0(1/2)νdR(T) dT δT, (2.31) whe e pjis he gene alized momen um conjuga e o j, de- ined in Eq. (2.26), and pj0is he gene alized momen um conjuga e o j0, pj0=∂L ∂j00 ,(2.32) which is an odd unc ion o x o he solu ions wi h well- de ined pa i y. In his way Eq. (2.31) o e s a geome ic in e p e a ion o he alues o he gene alized momen a a he bounda ies, as hey a e di ec ly ela ed o he pa - ial de i a i es o he LDF, ∂G ∂d =pj(1/2),∂G ∂T = 2νdR(T) dT pj0(1/2).(2.33) C. A Hamil onian o mula ion o he p oblem We will no w i e he de ailed o m o he gene al ou h-o de di e en ial equa ion (2.27) o he op imal p o ile j(x;d), since i is no pa icula ly illumina ing. Ins ead we now w i e a se o ou equi alen i s o de di e en ial equa ions a ising in he equi alen “Hamil o- nian” desc ip ion. In he ollowing, we ske ch he p oce- du e o in oduce he Hamil onian o a Lag angian wi h highe -o de de i a i es [32, 33], adap ed o he p esen case. As he Eule -Lag ange equa ion is a ou h-o de di e en ial equa ion, we should ha e wo canonical coo - dina es and hei wo co esponding canonical momen a. The i s canonical coo dina e is he cu en j, and we choose he second one o be y, which is p opo ional o j0, as gi en by Eq. (2.16). This choice is sugges ed by he s uc u e o he Lag angian in eq. (2.18). I is wo h ecalling ha he densi y p o ile can be di ec ly ob ained om yby making use o i s de ini ion, Eq. (2.5a). Nex , we in oduce he canonical momen a pyand pjconjuga e o yand j, espec i ely. The momen um pjhas been de- ined in Eq. (2.26), and pyis gi en by py≡ −ν∂L ∂j00 ,(2.34) which ollows om he de ini ion o pj0, Eq. (2.32), and Eq. (2.16) o y. The Hamil onian is hen in oduced in he usual way, H ≡ y0py+j0pj−L ≡ y0py−νypj−L.(2.35) 7 A e some algeb a, we ge H=1 2Q(y)p2 y−ˆ D−1(y)jpy−νypj,(2.36a) Q(y)≡ˆσ(y) ˆ D2(y),(2.36b) whe e we ha e de ined he auxilia y unc ion Q(y), wi h Q(y)>0 o all y. We ha e also made use o eq. (2.16), o he exp ession o pywhich ollows om i s de ini ion (2.34), py=ˆ D(y)j+ˆ D(y)y0 ˆσ(y),(2.37) and o he Lag angian L=ˆσ(y)p2 y 2ˆ D2(y)=1 2Q(y)p2 y,(2.38) w i en in e ms o he canonical a iables, wi h he aid o eq. (2.37). As usual, His a unc ion o (y, j, py, pj), which sa is y he ollowing se o ou ”canonical” i s - o de di e en ial equa ions, y0=∂H ∂py =Q(y)py−ˆ D−1(y)j, (2.39a) j0=∂H ∂pj =−νy, (2.39b) p0 y=−∂H ∂y =−dQ(y) dy p2 y 2+dˆ D−1(y) dy jpy+νpj,(2.39c) p0 j=−∂H ∂j =ˆ D−1(y)py(2.39d) ha a e equi alen o he ou h-o de Eule -Lag ange equa ion (2.27). No e ha , as is usual in physics and in o de no o clu e ou o mulae, we ha e d opped he subindex 0 o he op imal p o iles, which a e now solu- ions o he abo e canonical equa ions; he same no a ion is used o he canonical a iables in he Hamil onian and o he solu ions o Hamil on’s equa ions. On he o he hand, as he Hamil onian does no depend explici ly on x, i is a i s in eg al o he sys em (2.39): H= cons . o e any o i s solu ions. This p ope y may be used o simpli y he in eg a ion o he sys em. In gene al, o a gi en alue o he dissipa ion d, we ha e o sol e he sys em o equa ions (2.39) wi h he bounda y condi ions y(±1/2) = R(T), j(−1/2) = −j(1/2) = d/2,(2.40) which ollow om Eqs. (2.30) and (2.16). Again, we ha e o look o solu ions o Eq. (2.39) wi h well-de ined pa i y, ha is, yand ja e e en and odd unc ions o x, espec i ely (and, he e o e, pyis odd and pje en). The solu ion o hese canonical equa ions is hen inse ed in o he exp ession o he LDF G(d), which can be w i en in e ms o he canonical a iables as G(d) = −Z1/2 −1/2 dx L=−1 2Z1/2 −1/2 dx Q(y)p2 y,(2.41) by combining eqs. (2.18) and (2.38). In his way, we ob ain he LDF o an a bi a y alue o he in eg a ed dissipa ion dwi hin he Hamil onian o mula ion o he a ia ional p oblem. Equa ion (2.41) shows clea ly ha he mos p obable (a e age) p o iles co espond o a so- lu ion wi h py= 0 o all x, o which G(d) anishes. By subs i u ing py= 0 in Eqs. (2.39c)-(2.39d), we also ha e ha pj= 0 o all x. Mo eo e , Eqs. (2.39a) and (2.39b) simpli y o eq. (2.8), ha is, he a e age p o iles a e eob ained. The e o e, he e is always a solu ion o he canonical equa ions (2.39) wi h iden ically anishing canonical momen a, which co esponds o he a e age solu ion o he hyd odynamic equa ion (2.8) [40]. These a e age hyd odynamic p o iles {ρa , ja }lead o he a - e age alue o he in eg a ed dissipa ion da =νZ1/2 −1/2 dx R(ρa ) = νZ1/2 −1/2 dx ya (x) = 2ja (−1/2).(2.42) This discussion is consis en wi h he one below Eq. (2.28), which was done wi hin he amewo k o he equi alen Lag angian desc ip ion. Fluc ua ions in ol e non-ze o alues o he canonical momen a, whose magni- ude is hen a measu e o he depa u e om he a e age beha iou (d−da )/da . III. ANALYSIS OF THE LDF IN SOME LIMITING CASES In he ollowing subsec ions, we u he analyze he o m o he LDF in ce ain limi s o in e es , o which some gene al esul s can be ob ained. Fi s , we ocus on he beha io o G(d) o small luc ua ions a ound he a e age, whe e a quad a ic shape o he LDF is expec ed (co esponding o gaussian luc ua ions). We hen ana- lyze he limi o weakly-dissipa i e sys ems, ν1, o which an adequa e pe u ba i e expansion allows us o ob ain a non- i ial and in e es ing scaling o m o he LDF. Finally, we conside he opposi e limi o s ongly- dissipa i e sys ems, ν1, o which a di e en scaling o he LDF is ound. A. Small luc ua ions a ound he a e age As he a e age beha io co esponds o he pa icula solu ion o he canonical equa ions co esponding o an- ishing momen a pj= 0, pρ= 0, small luc ua ions can be 8 hus analyzed by assuming ha he canonical momen a a e small. Le us de ine he dimensionles pa ame e =d−da da (3.1) o measu e he sepa a ion om he a e age in eg a ed dissipa ion da . As we ha e jus discussed, he canonical momen a anish o = 0. We w i e y=ya +∆y, j =ja +∆j, py=∆py, pj=∆pj, (3.2) and linea ize Eqs. (2.39) a ound he a e age solu ion, ha is, we only e ain e ms linea in . Then, ∆y0=Q(ya )∆py−ˆ D−1(ya )∆j−ja dˆ D−1(ya ) dya ∆y, (3.3a) ∆j0=−ν∆y, (3.3b) ∆p0 y=ja dˆ D−1(ya ) dya ∆py+ν∆pj,(3.3c) ∆p0 j=ˆ D−1(ya )∆py.(3.3d) The bounda y condi ions o hese equa ions a e ∆y(±1/2) = 0, ∆j(−1/2) = −∆j(1/2) = da /2. The solu ion o his sys em o equa ions mus be inse ed in he la ge de ia ion unc ion (2.18). Using he exp ession (2.41) o he LDF, i ollows ha G(d)∼ −2 2Z1/2 −1/2 dx Q(ya )∆p2 y,(3.4) o small luc ua ions o he dissipa ion a ound he a - e age. Taking in o accoun (3.1) and he la ge de ia ion p inciple (2.15), eq. (3.4) means ha he p obabili y o such small luc ua ions o he in eg a ed dissipa ion dis app oxima ely gaussian, Pτ(d)||1 ∝exp −Lτ (d−da )2 2d2 a Λ2 ν(3.5) wi h Λ2 νgi en by Λ2 ν= Z1/2 −1/2 dx Q(ya )∆p2 y!−1 .(3.6) In his way, he gaussian es ima ion o he s anda d de- ia ion o he dissipa ion, by compa ing (3.5) o (3.6), is gi en by χ≡da Λν/√τL. In o de o make a mo e de- ailed s udy o he LDF, conc e e unc ional dependences o he di usi i y D, he mobili y σand he dissipa ion R on he densi y ρmus be conside ed. This is done in he ollowing sec ions o he pape , whe e we will conside a b oad amily o models o which he anspo coe - icien s can be explici ly ob ained. On he o he hand, i is impo an o no ice ha gaussian s a is ics is only expec ed o small luc ua ions a ound he a e age dissi- pa ion. In gene al, he solu ion o he a ia ional p oblem gi en by he in eg a ion o eq.(2.39), when inse ed in o (2.41), will gi e ise o non-gaussian s a is ics ( ha is, a non-quad a ic dependence o he LDF) o an a bi a y luc ua ion o he dissipa ed ene gy d. B. Weakly-dissipa i e sys ems, ν1 We p oceed now by analysing he canonical equa ions (2.39) in he limi ν1. Unsu p isingly, a egula pe - u ba ion expansion in powe s o νb eaks down, since i is no possible o impose he necessa y bounda y con- di ions o he cu en . This singula i y o he elas ic limi was o be expec ed on a physical basis, as i is no possible o ob ain he beha io o weakly dissipa i e sys- ems (ν1) as a co ec ion a ound he conse a i e case ν= 0, o which ρ(x) = Tand j(x) = 0. The e o e, a singula pe u ba ion analysis should be done, looking o a sui able escaling o he a iables o ν1. Equa- ion (2.8) o he a e ages implies ha ya =R(T) + O(ν), ja =−νR(T)x+O(ν2), ν 1. (3.7) The a e age cu en anishes linea ly in νin he limi ν→0+, as expec ed. Mo eo e , he a e age dissipa ion, ob ained by combining eqs. (2.42) and (3.7), is gi en by da =νR(T) + O(ν2).(3.8) The e o e, i is sensible o p opose he ollowing escaling o a iables j(x) = νψ(x), pj(x) = Πψ(x) ν,(3.9) which is consis en wi h he canonical equa ions (2.39), since ψ0=1 νj0=1 ν ∂H ∂pj =∂H ∂Πψ ,(3.10a) Π0 ψ=νp0 j=−ν∂H ∂j =−∂H ∂ψ ,(3.10b) wi h he same Hamil onian H. In o he wo ds, eq. (3.9) de ines a “canonical ans o ma ion” om he pai o canonical conjuga e a iables {j, pj} o {ψ, Πψ}, a ans- o ma ion ha heals he singula beha io in he ν→0+ limi . The Hamil onian can be now w i en as H=1 2Q(y)p2 y−yΠψ−νˆ D(y)−1ψpy(3.11) in he escaled a iables. No ice ha he ans o ma ion in oduced is essen ial o ob ain he co ec “dominan balance” [42] o he lowes o de . In pa icula , be o e he escaling, he e m p opo ional o ypjwas o he o de o νand he e m p opo ional o jpywas o he o de o uni y; a e he escaling he o de s o magni ude 9 a e in e changed, he e m p opo ional o yΠψis o he o de o uni y while he e m p opo ional o ψpyis o he o de o ν. We now s a om he ze o- h o de escaled Hamil onian by pu ing ν= 0 in eq. (3.11), H0=1 2Q(y)p2 y−yΠψ.(3.12) om which we we a i e a y0=∂H0 ∂py =Q(y)py,(3.13a) p0 y=−∂H0 ∂y =−1 2 dQ(y) dy p2 y+ Πψ,(3.13b) ψ0=∂H0 ∂Πψ =−y , (3.13c) Π0 ψ=−∂H0 ∂ψ = 0 .(3.13d) In o de no o clu e ou o mulas, we do no in oduce a di e en no a ion o he canonical a iables, al hough he app oxima e canonical equa ions (wi h H0) a e di - e en om he exac ones (wi h H). We ha e only o emembe ha ou esul s a e alid o he lowes o de in ν. The canonical equa ions (3.13) ha e o be sol ed wi h he bounda y condi ions y(±1/2) = R(T), ψ(−1/2) = −ψ(1/2) = ∆/2, (3.14) whe e ∆ = d ν=R(T)d da (3.15) is assumed o be o he o de o uni y, ha is, d=O(ν) o d/da =O(1). Thus, ou escaling allows us o ob ain a solu ion o he op imal p o iles o he densi y ρ, by in e ing he ela ion y=R(ρ), and he cu en j= νψ, o in eg a ed dissipa ions d e y di e en om i s a e age alue da . I is wo h no icing ha ψis a cyclic a iable and i s conjuga e momen um is hus cons an , Πψ≡Πψ0= cons ., see Eq. (3.14); his ac allows us o ob ain a closed i s o de di e en ial equa ion o y(x) in he ν1 limi . Mo eo e , by ecalling Eq. (2.33), we ha e ha Πψ0=∂G ∂∆,(3.16) which gi es he physical in e p e a ion o his i s in- eg al o he app oxima e canonical equa ions: i is he pa ial de i a i e o he LDF wi h espec o he escaled dissipa ion. The Hamil onian H0is also cons an , since i does no depend explici ly on x, and combining (3.12) and (3.13a), y02= 2Q(y)(H0+yΠψ0), y(±1/2) = R(T).(3.17) Once his is sol ed, he escaled cu en ψcan be ob- ained om (3.13c) ψ0=−y, ψ(−1/2) = −ψ(1/2) = R(T)d 2da ,(3.18) so ha he wo cons an s H0and Πψ0will be gi en in e ms o he empe a u e Tand d/da . The e a e no mo e cons an s o be adjus ed in he solu ion o eqs. (3.17) and (3.18) due o he pa i y p ope ies o (y, ψ): yis and e en unc ion o xand ψis an odd unc ion o xin he in e al [−1/2,1/2]. O cou se, he a e age p o iles ya (x) and ja (x) a e eob ained om he canonical equa ions by pu ing Πψ= 0 and py= 0 he ein. Equa ion (3.12) implies ha H0= 0 o e he a e age p o iles. The simple o m o he di e en ial equa ion (3.17) al- lows us o in e some o he p ope ies o he op imal p o ile y(x) associa ed o a gi en dissipa ion luc ua- ion in he limi o weakly-dissipa i e sys ems. Fi s , no ice ha in gene al he solu ion o eq. (3.17) will be non-mono onic, exhibi ing ex ema in he in e al x∈[−1 2,1 2]. Mo eo e , aking in o accoun ha he unc- ion Q(y) is posi i e de ined, i ollows ha he p o ile a he ex ema will ake an unique alue y0≡ − H0 Πψ0 (3.19) No e ha Πψ06= 0 o d6=da and, mo eo e , i mus ha e a di e en sign ha H0, i.e. sgn(Πψ0)6= sgn(H0), since y(x)>0∀x. The e o e, he op imal p o ile y(x) can only ha e a single ex emum (minimum o maxi- mum) [41], ha is loca ed a x= 0 because o symme y easons. By ew i ing eq. (3.17) as y02= 2Q(y)H01−y y0(3.20) we conclude ha he cons an H0and y0−y(x) mus ha e he same sign ∀x∈[−1 2,1 2]. Thus, o H0>0 he p o ile y(x) has a single maximum, y(x)> y(±1/2) = R(T)∀x, and hus d>da . On he o he hand, H0<0 implies a single minimum, y(x)< R(T)∀xand d < da . All hese p ope ies a e con i med below o pa icula examples, bo h analy ically and nume ically. In e es ingly, he leading beha io o he LDF can be also easily ob ained in e ms o he i s in eg als H0and Πψ0. In ac G(d)∼ −1 2Z1/2 −1/2 dx Q(y)p2 y=−1 2Z1/2 −1/2 dx y02 Q(y), (3.21) and making use o eq. (3.17), G(d)∼ − H0+ Πψ0Z1/2 −1/2 dx y(x)! =−(H0+ Πψ0∆) = −H01−∆ y0.(3.22) Thus, he emaining ask consis s in w i ing he con- s an s H0and y0(o equi alen ly H0and Πψ0) in e ms o he in eg a ed dissipa ion dand he empe a u e a he bounda ies T. Once his is done, he LDF ollows om he simple exp ession gi en by eq. (3.22). Fu he - mo e, we may ob ain bounds o he p o ile ex emum y0 16 ∆j0=−ν∆y, (5.19b) ∆p0 y=ν∆pj,(5.19c) ∆p0 j=1 ˆ D∆py,(5.19d) which pa icula izes eq. (3.3) o ou amily o mod- els. The bounda y condi ions a e ∆y(±1/2) = 0, ∆j(−1/2) = −∆j(1/2) = da /2. The solu ion o his sys em mus be inse ed in o eq. (3.6), which gi es he a iance o he gaussian dis ibu ion, χ2≡d2 a Λ2 ν/Lτ. The canonical momen um ∆pyis di ec ly ob ained by in eg a ing eqs. (5.19c) and (5.19d), ∆py=Ksinh x ν ˆ D,(5.20) since ∆pymus be an odd unc ion o xas a consequence o ybeing e en. The cons an Kis o be de e mined wi h he aid o he bounda y condi ions, bu his can only be done a e sol ing eqs. (5.19a) and (5.19b), ha ing p e iously inse ed (5.20) in o hem. Subs i u ion o eq. (5.20) in o eq. (3.6) gi es Λ2 ν=K2 Z1/2 −1/2 dx Q(ya ) sinh2x ν ˆ D!−1 .(5.21) In o de o e alua e he in eg al, eq. (5.14) o Q(y) mus be used, Q(y)∝yγ, wi h he pa ame e γbeing a unc ion o β, 1 < γ ≤2. We now analyze he simples choice β= 0, ha is, γ= 2, ha co esponds o he dissipa i e e sion o he KMP model in oduced in [25]. In his case, he calcula ion is s aigh o wa d and yields Λ2 ν=sinh(2√2ν)−2√2ν 4√2νsinh2(√2ν).(5.22) In e es ingly, Λ2 ν∼1/3 independen o νin he limi o weakly-dissipa i e sys ems ν1. This can be unde - s ood as a eminiscence o he scaling o G(d) de i ed in sec ion III. In ac , eq. (3.34) ells us ha , o γ= 2, G(d) is jus a unc ion o d/da . In he gaussian ap- p oxima ion, his implies he con e gence o Λ2 ν o a con- s an alue in he quasi-elas ic limi as ν→0+. On he o he hand, Λ2 ν∼(2√2ν)−1 o ν1, which is con- sis en wi h he supp ession o dissipa ion luc ua ions p e iously ound in he s ongly inelas ic egime, as ex- p essed by he gene al scaling o he LDF gi en by Eq. (3.48). The same quali a i e obse a ions apply o o he alues o β, hough he calcula ion is mo e con olu ed. We ha e es ed he abo e p edic ions in s anda d Mon e Ca lo simula ions o he dissipa i e KMP model desc ibed in his sec ion, o he pa icula case β= 0. Figu e 3 shows he p obabili y densi y unc ion (pd ) o he dissipa ed ene gy, in eg a ed o e he whole sys em and o e a long ime τ o many di e en alues o he 10-3 10-2 10-1 100101102103 ν 10-3 10-2 10-1 100 101 102 da , Λν 2 ~ν1/2 ~ν-1/2 Λν 2~1/3 da ~ν FIG. 4. (Colo online) Measu ed a e age dissipa ion and i s a iance as a unc ion o ν o β= 0. The solid line co e- sponds o he heo e ical p edic ion o da , eq. (5.18), while he dashed line is he gaussian es ima ion o he dissipa ion a iance pa ame e , Λ2 ν, see eq. (5.22). The ag eemen is excellen in all cases. No ice in pa icula he scaling wi h νo bo h obse ables in he weakly- and s ongly-dissipa i e sys em limi s. mac oscopic dissipa ion coe icien ν∈[10−3,103]. In o - de o minimize ini e-size e ec s in he measu emen s, we pe o med simula ions o sys ems wi h inc easing size as νg ows, L∝`−1 ν, in such a way ha he numbe o la ice si es pe uni ypical leng h is cons an and la ge enough so we a e wi hin he hyd odynamic egime. Fu - he mo e, he in eg a ion ime τ=O(1) o he con in- uous, di usi e, imescale o e which he hyd odynamic p edic ions should hold [45]. S anda d Mon e Ca lo sim- ula ions do no allow us o sample he ails o he dis i- bu ion, bu hey a e use ul o s udy he ypical luc ua- ions a ound he a e age we a e in e es ed in he e (e.g., a egime o 5 s anda d de ia ions a ound he a e age). Figu e 3 shows ha , when plo ed agains he educed a iable z≡(d−da )/χ, he dis ibu ion Pτ(z) ollows app oxima ely a no mal dis ibu ion o ypical luc u- a ions. Mo eo e , all cu es o di e en νcollapse in his egime. Howe e , e en a his s anda d simula ion le el, i becomes appa en ha he ails o he dis ibu- ion (co esponding o mode a e dissipa ion luc ua ions) de ia e om gaussian beha io , see inse in Fig. 3, show- ing asymme ic ails and b eaking he collapse o gaus- sian beha io obse ed o small luc ua ions. As we will show below, he analysis o he dissipa ion LDF shows ha he la ge luc ua ions s a is ics is a om gaussian. In o de o u he check ou heo y, we ha e also com- pa ed he measu ed a e age dissipa ion and i s a iance wi h he analy ical esul s abo e, as a unc ion o he mac oscopic dissipa ion coe icien ν, a ying in a ange which co e s 6 o de s o magni ude. Again, we see in Fig. 4 ha he ag eemen is excellen in all cases. In pa - 17 icula , he a e age dissipa ion g ows as ν( esp. ν1/2) in he weakly ( esp. s ongly) dissipa i e sys em limi , while he a iance emains cons an o ν1 bu de- cays as ν−1/2 o ν1. Rema kably, he gaussian ap- p oxima ion o he a iance u ns ou o be an excel- len es ima o o he empi ical dissipa ion a iance. Fo Lτ 1, la ge luc ua ions o he dissipa ion a e e y a e and mos o he p obabili y concen a es in a egion o wid h p opo ional o (Lτ)−1/2a ound he a e age alue, a egime desc ibed by he gaussian app oxima ion. B. Comple e luc ua ion spec um o he in eg a ed dissipa ion We now in es iga e he whole spec um o luc ua- ions (bo h ypical and a e) o he in eg a ed dissi- pa ion. Thus, we need o e alua e he LDF G(d) o a bi a y alues o d, in gene al no close o i s a e - age alue da , bo h analy ically and nume ically. Ex- plo ing in s anda d simula ions he ails o he dissipa- ion dis ibu ion associa ed o he non i ial s uc u e o G(d) is an daun ing ask, since LDFs in ol e by de ini- ion exponen ially-unlikely a e e en s, see eq. (2.12). This has been co obo a ed in Fig. 3, whe e he dissi- pa ion dis ibu ion has been measu ed di ec ly bu we a e unable o ga he enough s a is ics in he ails o he pd o ob ain clea -cu esul s in he non-gaussian egime. A ecen se ies o wo ks ha e add essed his is- sue, de eloping an e icien me hod o measu e di ec ly LDFs in many pa icle sys ems [27–29]. The me hod is based on a modi ica ion o he dynamics so ha he a e e en s esponsible o he la ge de ia ion a e no longe a e [27], and i has been de eloped o disc e e- [27] and con inuous- ime Ma ko dynamics [28]. Fo a e- cen e iew, which also discusses Hamil onian sys ems, see e . [29]. The me hod yields he Legend e-Fenchel ans o m o he dissipa ion LDF, which is usually de- ined as µ(s) = maxd[G(d) + sd] [10, 46]. In pa icula , i UC0Cis he ansi ion a e om con igu a ion C o C0o he associa ed s ochas ic p ocess, he modi ied dy- namics is de ined as ˜ UC0C(s) = UC0Cexp(s dC0C), whe e dC0Cis he ene gy dissipa ed in he elemen a y ansi ion C→C0. I can be hen shown [11, 27–29] ha he na - u al loga i hm o he la ges eigen alue o ma ix ˜ U(s) gi es µ(s), which in u n can be Legend e- ans o med back o ob ain a Mon e Ca lo es ima e o G(d). The me hod o e s. [27–29] hus p o ides a way o measu e µ(s) by e ol ing a la ge numbe Mo copies o clones o he sys em using he modi ied dynamics ˜ U(s). This me hod is exac in he limi M→ ∞, bu in p ac ice we a e able o simula e a la ge bu ini e popula ion o clones, ypically M∈[103,104]. This in oduces addi- ional ini e-size e ec s ela ed o he popula ion o clones which mus be conside ed wi h ca e, see [13] o u he discussion along his line. The nume ical esul s o he LDF in he ollowing sec ions ha e been ob ained using hese ad anced Mon e Ca lo echniques. 1. Weakly-dissipa i e sys ems, ν1 We now ocus ou a en ion on he analysis o LDF o he in eg a ed dissipa ion o weakly dissipa i e sys ems, in which ν1. In he gene al amewo k de eloped in sec ion II, we ound a scaling p ope y o G(d), as gi en by eq. (3.34), da νγ−2 G(d) = −"1−d/da Y0(e H)#e H,(5.23) whe e γ= (2 + β)/(1 + β), Y0(e H) is de e mined by Eq. (3.29), and he cons an e Hdepends only on he a io d/da , as gi en by eq. (3.31). Fo he sake o conc e eness, le us conside now he simples case β= 0, co esponding o he dissipa i e KMP model in oduced in [25]. Equa ion (3.26) o he escaled densi y p o ile now eads Y0(x)2= 8 e HY21−Y Y0, Y (±1/2) = 1,(5.24) which can be explici ly in eg a ed, wi h he solu ion Y(x, e H) = Y0sech2(xp2e H), Y0= cosh2se H 2,(5.25) whe e we ha e al eady used ha Y(x) mus be an e en unc ion o x. The escaled cu en p o ile Ψ(x) in o- duced in (3.27) is Ψ(x, e H) = −cosh2qe H 2 p2e H anh(xp2e H).(5.26) The op imal p o iles o he densi y and he cu en can be now eadily w i en by combining he p e ious wo equa ions wi h Eqs. (3.35)-(3.36), yielding ρ(x) = TY (x) = Tcosh2se H 2sech2(xp2e H),(5.27a) j(x) = da Ψ(x) = −da cosh2qe H 2 p2e H anh(xp2e H) (5.27b) in e ms o e H=e H(d). We ha e aken in o accoun ha y≡ρ o β= 0. No e ha he cu es ρ(x)/T =Y(x, e H) o di e en alues o νplo ed as a unc ion o xonly depend on he ela i e dissipa ion d/da . Now, eq. (3.31) implies ha d da = 2Ψ(−1/2) = sinh p2e H p2e H ,(da ∼νT ),(5.28) which gi es he cons an e Himplici ly in e ms o d/da . Finally, pa icula izing eq. (5.23) o he case γ= 2 we 18 0123456 d/da -8 -6 -4 -2 0 G(d) ν=0.01 ν=0.1 0123456 d/da -4 -3 -2 -1 0 G(d) β=1 β=0.5 β=0 β=1 β=0.5 β=0 FIG. 5. (Colo online) Scaling o he dissipa ion LDF in he quasi-elas ic limi (ν1) o N= 50, T= 1 and a ying β o wo di e en alues o ν, namely ν= 0.01 ( illed symbols) and ν= 0.1 (open symbols). The solid lines a e he MFT p edic ions in each case. Cu es ha e been shi ed e ically o con enience, G(da ) = 0, ∀ν, β. Fo he case β= 0, he simula ion cu es a e plo ed o d<dI, wi h dIbeing he in lec ion poin a which G(d) changes con exi y in he limi ν1 (see he ex and also Fig. 6). Inse : Compa ison o he heo e ical G(d) o di e en β, whe e i is clea ha inc easing β a o s la ge dissipa ion luc ua ions. a e analyzing ( ha is, β= 0), we ob ain G(d) = p2e H anh se H 2−e H.(5.29) No e ha eq. (5.28) o e H(d) equi es some ca e ul anal- ysis. F om he gene al discussion in Sec ion III B, we ha e ha e H>0 o d > da , and hus p2e His a eal numbe , while e H<0 o d<da and p2e His imagina y. The la e case poses no p oblem o G(d), which is al- ways eal- alued. In ac , i we w i e pe H=iq|e H| we a i e a G(d) = −q2|e H| an q| e H| 2+|e H| o e H<0. In he limi as d→0, we ha e ha e H → −π2/2, and hus G(d)→ −∞ as expec ed on a physical basis. Equa ion (5.29) gi es a simple scaling o m o G(d), independen o ν, o he linea (β= 0) dissipa i e KMP model in he low-dissipa ion limi ν1 [25]. As an ici- pa ed by (5.23), he cu e o G(d) s he ela i e dissipa- ion d/da is independen o νin his quasi-elas ic egime. This scaling is ully con i med in Fig. 5, in which we plo G(d) o di e en , small alues o ν∈[10−2,10−1] mea- su ed in simula ions o he dissipa i e KMP model using he ad anced Mon e Ca lo echnique desc ibed a he be- ginning o his subsec ion. In pa icula , he ag eemen be ween heo y and simula ions is excellen in he b oad luc ua ion egime ha we could measu e (see below). The dissipa ion LDF is highly skewed wi h a as dec ease o luc ua ions d<da and no nega i e b anch, so luc u- -100 -80 -60 -40 -20 0 s da -25 -20 -15 -10 -5 0 5 µ(s) ν=0.01 ν=0.1 0 0.5 1 s da 0 0.5 1 µ(s) 0 2 4 6 8 10 d/da -1 -0.5 0 G(n)(d) G G' G'' FIG. 6. (Colo online) Scaling plo o he Legend e ans o m o he dissipa ion LDF, µ(s) = maxd[G(d) + sd], in he quasi- elas ic limi ν1 o N= 50, T= 1, β= 0 and wo di e en alues o ν, namely ν= 0.01 (ci cles) and ν= 0.1 ( iangles). The solid line is he MFT p edic ion, see eq. (5.34). No ice ha µ(s) is de ined up o a h eshold alue sI= 0.878458/da , beyond which he Legend e-Fenchel ans o m di e ges. The op- igh inse shows a zoom a ound he h eshold sI. This is ela ed o he exis ence o an in lec ion poin in G(d) o dI= 2.27672da , i.e. a poin a which G00(dI) = 0, see middle- le inse , beyond which he dissipa ion LDF is non-con ex, see discussion in main ex . a ion heo em- ype ela ions linking he p obabili ies o a gi en in eg a ed dissipa ion dand he in e se e en −ddo no hold [5, 6]. This was o cou se expec ed om he lack o mic o e e sibili y, a basic ene o he luc ua ion he- o em o apply [36]. The limi e H  1 co esponds o la ge dissipa ion luc ua ions, whe e G(d)≈ −1 2[ln(d/da )]2, ha is, a e y slow decay which shows ha such la ge luc ua ions a e a mo e p obable han expec ed wi hin gaussian s a is ics (∼ −3 2(d/da )2). In ac , such slow decay implies he p esence o an in lec ion poin in G(d): he e is a alue dIsuch ha G00(dI) = 0. The con ex- i y o G(d) changes a d=dI,G00(d)<0 o d<dI while G00(d)>0 o d > dI. Speci ically, Eqs. (5.28) and (5.29) imply ha dI/da = 2.27672 (see middle- le inse in Fig. 6). The comple e measu emen o non-con ex LDFs in compu e simula ions is a challenge which emains unsol ed. The eason is ha he ad anced Mon e Ca lo me hod desc ibed abo e o di ec ly mea- su e la ge-de ia ion unc ions in simula ions is based on he Legend e-Fenchel ans o m o he LDF o in e es , which is no well-beha ed in egimes whe e he LDF is non-con ex [10]. To be e unde s and his issue, ecall ha he Legend e-Fenchel ans o m o he dissipa ion LDF can be w i en as µ(s) = max d[G(d) + sd] = G[d∗(s)] + s d∗(s),(5.30) 19 whe e d∗(s) is solu ion o he equa ion ∂G(d) ∂d =−s . (5.31) No e ha , ma hema ically, µ(s) is he Legend e-Fenchel ans o m o −G(d), because he Legend e-Fenchel ans- o m is de ined o con ex unc ions [10]. The pa ial de i a i e o Gwi h espec o dis ela ed o he i s in- eg al o Hamil on equa ions Πψ0, see Eq. (3.16), which in u n can be ob ained om eqs. (3.37) and (5.25), yielding Πψ0=ν∂G ∂d =−e H Tsech2se H 2.(5.32) Equi alen ly, s=−∂G ∂d =e H νT sech2se H 2.(5.33) In his way, making use o Eqs. (5.28), (5.29) and (5.33), he Legend e ans o m o he dissipa ion LDF can be w i en as µ(s) = 2p2e H anh se H 2−e H,(5.34) in e ms o e H, which is ob ained implici ly as a unc ion o s om Eq. (5.33). No e ha he scaling o G(d) wi h d/da , see Eq. (5.23), implies a simila collapse o µ(s) when plo ed as a unc ion o s da . Eq. (5.31) has a single solu ion d∗(s) o s < 0 and hence poses no p oblem. On he o he hand, due o he exis ence o an in lec ion poin , G0(d) exhibi s a minimum a dI, inc easingly smoo hly a e wa d o each asymp o icaly ze o in he limi d→ ∞, see middle-le inse in Fig. 6. The e o e, o s > 0 he e exis wo solu ions d∗ 1(s)≤ dI≤d∗ 2(s) o eq. (5.31), bu only he i s one maximizes eq. (5.30). This means ha we canno ob ain G(d) by in e se Legend e- ans o ming µ(s) o dissipa ions abo e he in lec ion poin dI= 2.27672 da . In ac , µ(s) is de ined up o a c i ical sI, such ha sI= 0.87845/da ( he slope o −G(d) a he in lec ion poin ), beyond which µ(s) di e ges. This can be seen by no icing he main p ope ies o µ(s), namely ∂µ ∂s =d , ∂2µ ∂s2=−∂2G ∂d2−1 .(5.35) The e o e, µhas a singula i y a he alue o he slope sI co esponding o he in lec ion poin dI, whe e ∂2µ/∂s2 di e ges. The ansi ion o non-con ex beha io hus implies ha we can only measu e he s a is ics o a e dissipa ion luc ua ions up o dIusing he cloning algo- i hm [27–29]. Fig. 6 shows a compa ison be ween he measu ed µ(s) o wo di e en alues o ν1 and he heo e ical expec a ion, up o he c i ical sI. The ag ee- men is excellen in all cases, and he collapse o µ(s) -0.4 -0.2 0 0.2 0.4 x 0 1 2 3 ρ0(x;d) d/da =0.30 d/da =0.37 d/da =0.46 d/da =0.54 d/da =0.78 d/da =1.01 d/da =1.20 d/da =1.46 d/da =1.73 d/da =1.97 d/da =2.22 FIG. 7. (Colo online) Top: Op imal ene gy p o iles o a y- ing d/da and β= 0, measu ed o ν= 10−3(symbols) and ν= 10−2(dashed lines), and MFT p edic ions (solid lines). Ag eemen is e y good in all cases. Bo om: MFT p edic ion o he op imal densi y p o iles o a ying d/da . when plo ed agains s da is con i med. The challenge emains o de ise compu a ional echniques capable o explo ing a e-e en s a is ics e en in egimes whe e he associa ed LDF is non-con ex. We may sol e in a simila way he MFT o he in- eg a ed dissipa ion o a bi a y alues o he exponen β, hough ma hema ical exp essions a e a mo e con o- lu ed ha in he illus a i e case β= 0 desc ibed abo e. Fig. 5 also shows he dissipa ion LDF o o he exponen s β > 0, as well as he esul s o nume ical expe imen s in hese cases. Quali a i ely, he esul s a e equi alen o hose discussed abo e, wi h a ν-independen scaling o m o he LDF in he ν1 limi which goes apidly o ze o as d→0 and has a ela i ely a ail o dda . This ail changes con exi y (based on a nume ical analysis) a a la ge dissipa ion dIwhich inc eases wi h (a) ν o ixed β(b) β o ixed ν. Fo β=0, we ha e dI/da ≃2.8 o ν= 1, while dI/da >6 o ν= 10. On he o he hand, o β= 1, G00(d)<0 in he conside ed egion and no in lec ion poin he ein. Fo he in e media e alue, β= 0.5, he posi i e alues o G00(d) a e so small ha 20 FIG. 8. (Colo online) Collapse o he op imal ene gy p o iles measu ed o N= 50 and T= 1 as a unc ion o he ela i e dissipa ion d/da o di e en alues o ν1, namely ν= 10−2(do ed lines) and ν= 10−1(dashed lines), o β= 0 ( op, g een), β= 0.5 (middle, ed) and β= 1 (bo om, blue). The la ge β, he less p onounced he cen al o e shoo is o d > da . Solid lines co espond o MFT p edic ions. we ha e chosen no o elimina e he poin s behind he nume ical in lec ion poin , dI/da ≃3.2 o ν1 and dI/da ≃5.1 o ν= 1, al hough hey oughly coincide wi h he alues a which he heo e ical and he simula- ion cu es begin o sepa a e. Fu he mo e, compa ison wi h nume ical esul s is excellen in all cases. In e es - ingly, see inse in Fig. 5, inc easing β esul s in a b oade dissipa ion LDF, meaning ha la ge dissipa ion luc ua- ions a e enhanced as βg ows away om he linea case β= 0. We ha e also measu ed he ypical ene gy p o ile as- socia ed o a gi en dissipa ion luc ua ion o he case β= 0, see op panel in Fig. 7, inding also e y good ag eemen wi h he mac oscopic luc ua ing heo y de- eloped in his pape . Rema kably, op imal p o iles o a ying ν1 also collapse o cons an d/da (all he simula ions ha e been done wi h he same alue o he ene gy densi y a he bounda ies T= 1), as p edic ed by eq. (5.27a). Fu he mo e, p o iles exhibi he x↔ −x symme y conjec u ed in sec ion II B in all cases, wi h a single ex emum which can be minimum o maximum de- pending on he alue o he ela i e dissipa ion d/da , a p ope y which was deduced om he gene al o malism in sec ion III B. In e es ingly, p o iles associa ed o dissi- pa ion luc ua ions abo e he a e age exhibi an ene gy o e shoo in he bulk. This obse a ion sugges s ha he mechanism esponsible o la ge dissipa ion luc ua- ions consis s in a con inued o e -injec ion o ene gy om he bounda y ba h, which is anspo ed o and s o ed in he bulk be o e being dissipa ed. The same quali- a i e obse a ions and good ag eemen be ween heo y and simula ions is obse ed o o he alues o he ex- ponen β > 0, see Fig. 8. No ice in pa icula he nice collapse o op imal p o iles o di e en alues o ν1 0123456 d/da -12 -10 -8 -6 -4 -2 0 G(d) ν=10-2 ν=10-1 ν=1 ν=10 β=1.0 β=0.5 β=0.0 FIG. 9. (Colo online) Dissipa ion LDF o N= 50, T= 1 and a ying β= 0,0.5,1.0 and ν∈[10−2,10]. Cu es o β= 0.5 and 0 ha e been shi ed e ically o con enience ( ecall ha G(da ) = 0 ∀ν, β), so ha β= 1, 0.5 and 0 co espond o op (blue), medium ( ed) and bo om (g een). The MFT p edic ions a e plo ed wi h lines: solid o β= 1, dashed o β= 0.5, and do ed o β= 0. As in Fig. 5, o a ixed ν inc easing β esul s in la ge dissipa ion luc ua ions. bu equal ela i e dissipa ion. An in e es ing obse a ion is ha op imal densi y p o iles a e less p onounced he la ge de nonlinea i y exponen βis, see Fig. 8. This gi es a plausible explana ion o he widening o G(d) as βinc eases: o he same alue o d/da and inc easing β, he associa ed op imal p o ile is close o he hyd ody- namic solu ion he la ge βis, and hence his luc ua ion cos dec eases, ha ing a la ge associa ed p obabili y. 2. A bi a y dissipa ion coe icien ν Fo a bi a y alues o ν&1 no gene al scaling unc- ion can be de i ed in p inciple o G(d). Fo each pa - icula case, he whole a ia ional p oblem, eqs. (5.11)- (5.16), mus be sol ed, which is o en analy ically in- ac able. In o de o u he ad ance, we eso now o a nume ical e alua ion o he op imal p o iles, which a e used in u n o compu e he dissipa ion LDF. Fig. 9 shows he heo e ical p edic ions o G(d) o inc easing, non-pe u ba i e alues o ν, oge he wi h nume ical e- sul s om simula ions, o di e en alues o β. As o he weakly-dissipa i e sys em limi p e iously discussed, he ag eemen be ween heo y and measu emen s in Fig. 9 is qui e good. We a ibu e he obse ed di e ences be ween heo y and simula ion o ini e size e ec s in he la e , which a e mo e appa en o la ge νas compa ed o he weakly-dissipa i e sys em limi ν1, compa e wi h Fig. 5, see also [39]. Such s ong ini e-size e ec s a e expec ed since he na u al leng h scale associa ed o a gi en νis `ν=qˆ D/ν. As ollows om Eq. (5.7) and he associa ed discussion, `νdec eases as νg ows 21 FIG. 10. (Colo online) Top: Op imal ene gy p o iles as a unc ion o he ela i e dissipa ion measu ed o ν= 10, N= 50 and T= 1 o he pa icula case β= 0. Thick (g een) lines co espond o measu emen s while hin (pink) lines a e MFT p edic ions. Bo om: Measu ed op imal ene gy p o iles o ν= 10, N= 50 and T= 1, and a ying alues o he non- linea i y exponen β. Fo a gi en ela i e dissipa ion, ene gy localiza ion a ound he mal ba hs dec eases as βinc eases. so la ge sys em sizes a e needed o obse e con e gence o he mac oscopic limi . In addi ion, ini e-size e ec s ela ed o he numbe o clones Mused o he sampling become an issue in his limi [13, 31]. In any case, he sha pening o G(d) as νinc eases o any βshows ha la ge dissipa ion luc ua ions a e s ongly supp essed in his egime, as was a gued o ν1 on qui e gene al g ounds in Sec. III C). In his s ongly-dissipa i e sys em limi ν1 he scale `ν→0, and he sys em decouples e ec i ely in o wo indepen- den bounda y shells. Thus, he ene gy is concen a ed a ound he bounda y ba hs, a pic u e which ag ees again wi h he analysis o Sec. III C. This beha iou is e i- denced by he op imal ene gy p o iles o a gi en dmea- su ed o ν= 10, see Fig. 10, in con as o he beha io obse ed o ν1, see Figs. 7-8. The ag eemen o he obse ed p o iles wi h MFT p edic ions is a he good, aking in o accoun he non-negligible ini e-size e ec s a ec ing hese measu emen s. Bo om panel in Fig. 10 shows he measu ed ene gy p o iles as a unc ion o he ela i e dissipa ion and o di e en alues o he nonlin- ea i y exponen β. F om his igu e, i is clea ha o a gi en ela i e dissipa ion, ene gy localiza ion a ound he mal ba hs dec eases as βinc eases. This sugges s again ha , as in he ν1 limi , he p obabili y o a ixed ela i e dissipa ion luc ua ion d/da , inc eases as βg ows, gi ing ise o a b oadening o G(d) wi h β. VI. SUMMARY AND CONCLUSIONS In his pape we ha e de eloped a gene al heo e i- cal amewo k o calcula ing he p obabili y o la ge de- ia ions o he dissipa ed ene gy in a gene al class o nonlinea d i en di usi e sys ems wi h dissipa ion. Ou s a ing poin is a mesoscopic luc ua ing hyd odynamic heo y o he ene gy densi y in e ms i a ew slow hy- d odynamic ields, ha is, a luc ua ing eac ion-di usion equa ion wi h a d i e m compa ible wi h Fou ie ’s law and a sink e m which can be w i en in e ms o he local ene gy densi y. The alidi y o his hyd odynamic desc ip ion can be demons a ed o a la ge amily o s ochas ic mic oscopic models [39], bu i is expec ed o desc ibe he coa se-g ained physics o many eal sys ems sha ing he same main ing edien s, namely: (i) nolinea di usi e dynamics, (ii) bulk dissipa ion, and (iii) bound- a y d i ing. F om his luc ua ing hyd odynamic desc ip- ion, and using a s anda d pa h in eg al o mula ion o he p oblem, we can w i e he p obabili y o a pa h in mesoscopic phase space, ha is, he space spanned by he slow hyd odynamic ields. In e es ingly, he ac ion associa ed o his pa h, om which la ge-de ia ion unc- ions o mac oscopic obse ables can be de i ed, has he same simple o m as in non-dissipa i e sys ems. This is a consequence o he quasi-elas ici y o mic oscopic dy- namics, equi ed in o de o ha e a non i ial compe i ion be ween di usion and dissipa ion a he mesoscale [39]. We use he de i ed ac ion unc ional o in es iga e he la ge de ia ion unc ion o he dissipa ed ene gy. The ene gy dissipa ed in a non-conse ing di usi e sys em is, oge he wi h he ene gy cu en , he ele an mac o- scopic obse able cha ac e izing nonequilib ium beha - io . A simple and powe ul addi i i y conjec u e simpli- ies he esul ing a ia ional p oblem o he dissipa ion LDF, om which we a i e a Eule -Lag ange equa ions o he op imal densi y and cu en ields ha sus ain an a bi a y dissipa ion luc ua ion. A Hamil onian e- o mula ion o his a ia ional p oblem g ea ly simpli ies he calcula ions, allowing us o analyze he gene al he- o y in ce ain in e es ing limi s. A pe u ba i e solu ion he eo shows ha he p obabili y dis ibu ion o small ( ha is, ypical) luc ua ions o he dissipa ed ene gy is always gaussian, as expec ed om he cen al limi he- o em. Mo eo e , a gene al exp ession o he a iance o he dis ibu ion in he gaussian app oxima ion has been de i ed which compa es nicely wi h nume ical esul s. On he o he hand, s ong sepa a ion om he gaussian beha io is expec ed o la ge dissipa ion luc ua ions, wi h a dis ibu ion which shows no nega i e b anch, hus iola ing he Galla o i-Cohen luc ua ion heo em as ex- pec ed om he i e e sibili y o he dynamics. Fu he - mo e, he dissipa ion LDF exhibi s simple and gene al scaling o ms in he weakly- and s ongly-dissipa i e sys- em limi s, which can be analyzed in gene al wi hou knowing he explici solu ion o he canonical equa ions. We apply ou esul s o a gene al class o di usi e la ice models o which dissipa ion, nonlinea di usion 22 and d i ing a e he key ing edien s. The heo e ical p e- dic ions, which can be explici ely wo ked ou in ce ain cases, a e compa ed o ex ensi e nume ical simula ions o he mic oscopic models (which co e bo h ypical luc u- a ions and a e e en s), and excellen ag eemen is ound in all cases. In pa icula , he simple scaling o he dissi- pa ion la ge-de ia ion unc ion in he weakly-dissipa i e sys em limi is ully con i med o di e en alues o he nonlinea i y exponen β, exhibi ing non-con ex beha io o la ge enough luc ua ions. In e es ingly, in his limi ν1 ene gy p o iles associa ed o la ge dissipa ion luc- ua ions exhibi an o e shoo in he bulk esul ing om an excess ene gy injec ion om bounda y ba hs. On he o he hand, in he s ongly-dissipa i e sys em limi ν1 he ypical leng hscale goes o ze o and he sys em decouples in o wo almos -independen bounda y shells, gi ing ise o a di e en scaling o m o he LDF and a s ong supp ession o he dissipa ion luc ua ions in his egime. Recen ly, a simila hyd odynamic heo y has been de- eloped o s udy la ge luc ua ions in a pa icula class o d i en dissipa i e media [37], bu i s p edic ions do no compa e well wi h nume ical esul s o he dissipa- i e la ice models he e s udied. The eason is ha Re . [37] s udies sys ems wi h wo compe ing dynamics, one conse a i e and ano he nonconse a i e, hus esul ing in independen luc ua ions o he densi y and dissipa- ion ields. In ou heo y, as is he case in many d i en dissipa i e sys ems, dissipa ion is linked o he collision p ocess, and hence dissipa ion luc ua ions a e ensla ed o densi y p o ile de ia ions. In ac , bo h heo ies coin- cide in he limi whe e he op imal dissipa ion p o ile is gi en in e ms o he op imal densi y ield. In summa y, ou esul s show ha a sui able gene al- iza ion o mac oscopic luc ua ion heo y [7] is capable o desc ibing in de ail he luc ua ing beha io o gen- e al nonlinea d i en dissipa i e media. In his scheme, he dissipa ion LDF ollows om a a ia ional p oblem whose solu ion also gi es he op imal p o iles ha he sys em has o sus ain o achie e he conside ed luc ua- ion. The p oposed amewo k is e y gene al, as MFT is based only on (a) he knowledge o he conse a ion laws go e ning a sys em, which allow o w i e down he balance equa ions o he luc ua ing ields, and (b) a ew anspo coe icien s appea ing in hese luc ua ing bal- ance equa ions. This opens he doo o u he gene al esul s in he nonequilib ium s a is ical physics o dissi- pa i e media. In pa icula , i would be in e es ing o ex- plo e he exis ence o phase ansi ions and spon aneous symme y b eaking a he luc ua ing le el he ein, in a way simila o he phenomenon epo ed in conse a i e sys ems [30, 31]. Mo eo e , as he ele an magni udes cha ac e izing nonequilib ium beha io in dissipa i e sys- ems a e bo h he dissipa ed ene gy and he cu en , i would be wo h analyzing he join luc ua ions o hese wo obse ables wi hin he MFT app oach. ACKNOWLEDGMENTS We acknowledge inancial suppo om Spanish Min- is e io de Ciencia e Inno aci´on p ojec s FIS2011-24460 and FIS2009-08451, EU-FEDER unds, and Jun a de An- daluc´ıa p ojec s P07-FQM02725 and P09-FQM4682. Appendix: Va ia ional p oblem wi h a Lag angian including second-o de de i a i es Le us analyze a a ia ional p oblem in which he “ac- ion” is de ined as he in eg al o a “Lag angian” wi h second o de de i a i es, ha is S[j] = Zx2 x1 dx L(j, j0, j00).(A.1) The ac ion S[j] is a unc ional o he p o ile j(x) in he ixed in e al x1≤x≤x2. The a ia ional p oblem a ises when one looks o he “op imal” p o ile j(x) o which he unc ional S[j] is a ex emum. Fo he sake o conc e eness, le us conside a p oblem simila o he one analyzed in his pape : we a e in e es ed in calcula ing Gde ined as G=−min j(x)S[j].(A.2) Then, we conside he a ia ion δSo he unc ional when a gi en p o ile j(x) is sligh ly changed o j(x) + δj(x), δS=Zx2 x1 dx ∂L ∂j δj +∂L ∂j0δj0+∂L ∂j00 δj00.(A.3) Now, we ake in o accoun ha δj0=d dxδj, δj00 =d2 dx2δj (A.4) in o de o in eg a e by pa s (i) once he e m p opo - ional o δj0(ii) wice he e m p opo ional o δj00. We a i e hus a δS=∂L ∂j0−d dx ∂L ∂j00 δj +∂L ∂j00 δj0x2 x1 +Zx2 x1 dx ∂L ∂j −d dx ∂L ∂j0+d2 dx2∂L ∂j00 ,(A.5) 23 whe e [ ]x2 x1= (x2)− (x1). By analogy wi h he case o he usual Lag angian wi h only i s -o de de i a i es, we in oduce he gene alized momen a as pj=∂L ∂j0−d dx ∂L ∂j00 , pj0=∂L ∂j00 .(A.6) In his way, he bounda y e m has he usual o m and Eq. (A.5) can be ew i en as δS= [pjδj +pj0δj0]x2 x1+Zx2 x1 dx ∂L ∂j −d dx ∂L ∂j0+d2 dx2∂L ∂j00 δj. (A.7) The ex emum condi ion is δS = 0. I he alues o j and j0a e p esc ibed a he bounda ies, bo h δj and δj0 anish a x1,2and he bounda y e m anishes. Then, as δj is a bi a y o x1< x < x2, he “op imal” p o- ile solu ion o he a ia ional p oblem e i ies he Eule - Lag ange equa ion d2 dx2∂L ∂j00 −d dx ∂L ∂j0+∂L ∂j = 0,(A.8) which is a ou h-o de di e en ial equa ion. In e es - ingly, Eq. (A.8) can be w i en as dpj/dx =∂L/∂j ha is o mally iden ical o he usual Eule -Lag ange equa ion o Lag angians wi h only i s -o de de i a i es. The bounda y condi ions o he Eule -Lag ange equa ion a e he p esc ibed alues o jand j0a he bounda ies; ou condi ions o he ou h-o de di e en ial equa ion. Howe e , in physical p oblems he e a e some imes less p esc ibed quan i ies a he bounda ies han necessa y. In ha case, as poin ed ou by Lanczos [33], he ex- emum condi ion δS= 0 p o ides he “missing” bound- a y condi ions. Fo ins ance, i we only ha e ixed alues o j0a he bounda ies (as in he LDF p oblem we ha e deal wi h in he main ex ), δj0(x1) = δj0(x2) = 0 bu δj(x1) and δj(x2) a e ee pa ame e s. Equa ion (A.7) s ill implies he Eule -Lag ange equa ion bu also ha pj(x1) = pj(x2)=0.(A.9) The gene alized momen um conjuga e o he a iable ha is no ixed a he bounda y mus anish: he so- lu ion o he a ia ional p oblem e i ies hen he Eule - Lag ange equa ion (A.8) wi h he p esc ibed alues o j0 a he bounda ies and he “ex a” condi ions p o ided by Eq. (A.9). In his way, we ob ain he ou condi- ions needed o de e mine comple ely he solu ion o he Eule -Lag ange equa ion. The unc ion Gde ined in Eq. (A.2) depends on he alues o jand j0a he bounda ies. Making use o Eq. 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