arXiv:1908.10597v5 [cond-mat.stat-mech] 25 May 2020

12
Fluctuation Relations for Adiabatic Pumping Yuki Hino * and Hisao Hayakawa Yukawa Institute for Theoretical Physics, Kyoto University, Kitashirakawa-oiwake cho, Sakyo-ku, Kyoto 606-8502, Japan (Dated: May 26, 2020) We derive an extended fluctuation relation for an open system coupled with two reservoirs un- der adiabatic one-cycle modulation. We confirm that the geometrical phase caused by the Berry- Sinitsyn-Nemenman curvature in the parameter space generates non-Gaussian fluctuations. This non-Gaussianity is enhanced for the instantaneous fluctuation relation when the bias between the two reservoirs disappears. I. INTRODUCTION Adiabatic pumping is a process where an average cur- rent is generated even in the absence of an average bias under slow and periodic modulation of multiple param- eters of the system. The theory of adiabatic pump- ing was first proposed by Thouless in isolated quan- tum systems [1, 2]. He showed that charges can be transported by applying a time-periodic potential to one-dimensional isolated quantum systems under a pe- riodic boundary condition. He also clarified that the charge transportation in this system is essentially in- duced by a Berry-phase-like quantity in the parameter space [2–4] before Berry proposed the Berry phase [3]. This phenomenon has been observed experimentally in various processes such as charge transport [5–12] and spin pumping [13]. Later, Brouwer extended the Thouless pumping to open quantum systems [14]. It was then recognised that the essence of Thouless pumping or geometrical pumping can be described by a classical master equation in which the Berry-Sinitsyn-Nemenman (BSN) phase is the generator of the pumping current [15, 16]. There are various papers on geometrical pumping processes in terms of scattering theory [14, 17–23], classical master equations [15, 16, 24–31] and quantum master equa- tions [32–37]. Non-adiabatic pumping processes have also been studied because the pumping current becomes zero in the adiabatic ( i.e., zero frequency) limit [38, 39]. We discovered the existence of path-dependent excess entropy production induced by the BSN curvature [40– 42]. The existence of the path-dependent entropy in systems under cyclic modulation implies that the direct extension of equilibrium thermodynamics to nonequilib- rium processes is not possible, at least for such systems. Similarly, the geometrical phase effect plays an impor- tant role even in heat engines [43]. Thus, understanding * Correspondence email address: [email protected] u.ac.jp Correspondence email address: [email protected] geometrical pumping is important for both applied and fundamental physics. In nonequilibrium processes, in addition to the ex- pectation values of physical quantities such as electric and heat currents, their fluctuations are also important. Historically, the relationship between fluctuations and responses from base states has been extensively studied, resulting in the Green-Kubo formula for the linear re- sponse, the fluctuation-dissipation relation (FDR), On- sager’s reciprocity relation etc. [44]. Furthermore, in the 1990s, the fluctuation theorem (FT) [45–53] was discovered as a relation which holds even in far-from equilibrium situations. The FT expresses the relative probabilities of typical and rare events such as positive and negative entropy production. Let us consider an open system in contact with mul- tiple external reservoirs, which is in a nonequilibrium steady state. In this situation, the probability distribu- tion P τ ( ˆ J ) of the current ˆ J in time interval τ satisfies the steady fluctuation theorem [53–56] lim τ →∞ 1 τ ln P τ ( ˆ J ) P τ (- ˆ J ) = A st ˆ J, (1) where A st is a steady affinity. For example, when we consider a heat flow, the affinity is given by A st = β R - β L , where β L and β R are the inverse tempera- tures of the left and the right reservoirs, respectively. Moreover, the FT recovers the Green-Kubo formula, the FDR, Onsager’s reciprocity relation and the other non- linear relations [54]. The FT in Eq. (1) is a direct con- sequence of Gaussian fluctuations, since the Gaussian form P τ ( ˆ J ) exp h - τ A st 4h ˆ J i ( ˆ J -h ˆ J i) 2 i with the average current h ˆ J i satisfies Eq. (1). Therefore, systems by non-Gaussian noises do not satisfy the conventional fluctuation theorem [57, 58]. Similary, Ren et. al. indicated that the fluctuation the- orem is violated in adiabatic pumping because of the existence of the geometrical phase [59]. Watanabe and Hayakawa [60] analyzed the spin-boson model and ver- ified the violation of the FT in the pumped system. Nevertheless, they could not get a concise form of an extended fluctuation theorem for geometric pumping arXiv:1908.10597v5 [cond-mat.stat-mech] 25 May 2020

Transcript of arXiv:1908.10597v5 [cond-mat.stat-mech] 25 May 2020

Fluctuation Relations for Adiabatic Pumping

Yuki Hino∗ and Hisao Hayakawa†Yukawa Institute for Theoretical Physics, Kyoto University,Kitashirakawa-oiwake cho, Sakyo-ku, Kyoto 606-8502, Japan

(Dated: May 26, 2020)

We derive an extended fluctuation relation for an open system coupled with two reservoirs un-der adiabatic one-cycle modulation. We confirm that the geometrical phase caused by the Berry-Sinitsyn-Nemenman curvature in the parameter space generates non-Gaussian fluctuations. Thisnon-Gaussianity is enhanced for the instantaneous fluctuation relation when the bias between thetwo reservoirs disappears.

I. INTRODUCTION

Adiabatic pumping is a process where an average cur-rent is generated even in the absence of an average biasunder slow and periodic modulation of multiple param-eters of the system. The theory of adiabatic pump-ing was first proposed by Thouless in isolated quan-tum systems [1, 2]. He showed that charges can betransported by applying a time-periodic potential toone-dimensional isolated quantum systems under a pe-riodic boundary condition. He also clarified that thecharge transportation in this system is essentially in-duced by a Berry-phase-like quantity in the parameterspace [2–4] before Berry proposed the Berry phase [3].This phenomenon has been observed experimentally invarious processes such as charge transport [5–12] andspin pumping [13].

Later, Brouwer extended the Thouless pumping toopen quantum systems [14]. It was then recognisedthat the essence of Thouless pumping or geometricalpumping can be described by a classical master equationin which the Berry-Sinitsyn-Nemenman (BSN) phase isthe generator of the pumping current [15, 16]. Thereare various papers on geometrical pumping processes interms of scattering theory [14, 17–23], classical masterequations [15, 16, 24–31] and quantum master equa-tions [32–37]. Non-adiabatic pumping processes havealso been studied because the pumping current becomeszero in the adiabatic ( i.e., zero frequency) limit [38, 39].

We discovered the existence of path-dependent excessentropy production induced by the BSN curvature [40–42]. The existence of the path-dependent entropy insystems under cyclic modulation implies that the directextension of equilibrium thermodynamics to nonequilib-rium processes is not possible, at least for such systems.Similarly, the geometrical phase effect plays an impor-tant role even in heat engines [43]. Thus, understanding

∗ Correspondence email address: [email protected]† Correspondence email address: [email protected]

geometrical pumping is important for both applied andfundamental physics.

In nonequilibrium processes, in addition to the ex-pectation values of physical quantities such as electricand heat currents, their fluctuations are also important.Historically, the relationship between fluctuations andresponses from base states has been extensively studied,resulting in the Green-Kubo formula for the linear re-sponse, the fluctuation-dissipation relation (FDR), On-sager’s reciprocity relation etc. [44]. Furthermore, inthe 1990s, the fluctuation theorem (FT) [45–53] wasdiscovered as a relation which holds even in far-fromequilibrium situations. The FT expresses the relativeprobabilities of typical and rare events such as positiveand negative entropy production.

Let us consider an open system in contact with mul-tiple external reservoirs, which is in a nonequilibriumsteady state. In this situation, the probability distribu-tion Pτ (J) of the current J in time interval τ satisfiesthe steady fluctuation theorem [53–56]

limτ→∞

1

τln

Pτ (J)

Pτ (−J)= AstJ , (1)

where Ast is a steady affinity. For example, when weconsider a heat flow, the affinity is given by Ast =βR − βL, where βL and βR are the inverse tempera-tures of the left and the right reservoirs, respectively.Moreover, the FT recovers the Green-Kubo formula, theFDR, Onsager’s reciprocity relation and the other non-linear relations [54]. The FT in Eq. (1) is a direct con-sequence of Gaussian fluctuations, since the Gaussianform Pτ (J) ∼ exp

[− τA

st

4〈J〉 (J − 〈J〉)2]with the average

current 〈J〉 satisfies Eq. (1).Therefore, systems by non-Gaussian noises do not

satisfy the conventional fluctuation theorem [57, 58].Similary, Ren et. al. indicated that the fluctuation the-orem is violated in adiabatic pumping because of theexistence of the geometrical phase [59]. Watanabe andHayakawa [60] analyzed the spin-boson model and ver-ified the violation of the FT in the pumped system.Nevertheless, they could not get a concise form of anextended fluctuation theorem for geometric pumping

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processes. We also need to know relations among thecumulants of the current. If we can construct the ex-tended fluctuation relation between Pτ (J) and Pτ (−J),we can derive the explicit expressions for all cumulants.

In this paper, we derive two types of fluctuation rela-tions for adiabatic pumping processes by using the gen-eralized master equation with the aid of the full count-ing statistics (FCS) [51]. By using these expressions,we also derive nonequilibrium relations correspondingto the FDR and other key results. We have confirmedthat the geometrical phase generates non-Gaussian fluc-tuations [57, 58], and thus, systems under cyclic modu-lation do not satisfy the fluctuation theorem.

The organization of this paper is as follows. In Sec.II, we explain the method used in this paper, the FCSand the generalized master equation. In Sec. III, we in-troduce the adiabatic approximation and show the gen-eral form of the cumulants for the pumping current.Section IV is the main part of this paper. We calculatethe approximate form of the current distribution andderive two types of fluctuation relation. In Sec. V, weapply our formalism to the spin-boson model to illus-trate the role of the non-Gaussian noise in the fluctu-ation of the pumping current. Finally, we discuss andsummarize our results in Sec. VI. In the appendices,we present some detailed calculations to support thedescription in the main text.

II. GENERAL FRAMEWORK

A. Dynamics

left reservoir right reservoirtarget system

counting field χ

Jcurrent

L S RJcurrent

Figure 1. A schematic of the total system which consists ofthe target system S and the left (L) and right (R) reservoirs.We measure the current J from S to R by the counting fieldχ.

In this paper, we consider a total system in whichthe target system S interacts with two reservoirs Land R (Fig. 1). We assume that the target systemS takes discrete n states. Let us introduce the vector|p(t)〉 := (p1(t), . . . , pn(t))T , where pi(t) (1 ≤ i ≤ n)is the probability that the system takes the state iat time t. |p(t)〉 satisfies the normalization condition〈1|p(t)〉 = 1, where 〈1| := (1, . . . , 1). We assume that

the time evolution of |p(t)〉 is given by the master equa-tion

d

dt|p(t)〉 = K(α(t))|p(t)〉, (2)

whereK(α(t)) is a n×n matrix characterizing the tran-sition rate of the dynamics with external control param-eters α(t). The (i, j)-component of K(α(t)) is given askij(α(t)) :=

∑ν=L,R(kνij(α(t))), where kνij(α(t)) (i 6=

j) is the rate of transition j → i due to interaction withthe reservoir ν at t and kνii(α(t)) := −

∑j,j 6=i k

νji(α(t)).

In this paper, we consider the periodic modulation ofthe parameters: α(t) = α(t+ τ) with period τ .

Now, let us introduce the angular frequency Ω :=2π/τ and the phase θ := Ω(t − t0) of parameter mod-ulation, respectively, where t0 is a time after which theeffect of the initial conditions has become negligible and|p(t)〉 becomes periodic. Then, we rewrite Eq.(2) as

d

dθ|p(θ)〉 = ε−1K(α(θ))|p(θ)〉, (3)

where ε := Ω/Γ, K(α(t)) := Γ−1K(α(t)), and Γ char-acterizes a typical transition rate between the systemand one of the reservoirs. Because we are interestedin adiabatic modulation, the parameter ε is assumed tosatisfiy ε 1.

B. Full counting statistics

Let us adopt the FCS method [51]. FCS enables us toobtain the probability distribution P (q) of the transferq (e.g. heat transfer, particle transfer, etc.) from thesystem to a reservoir during one period. The scaledcumulant-generating function Gε(χ) for the transfer qis given by

Gε(χ) =ε

2πln

∫ ∞−∞

dqPτ (q)eiχq, (4)

where χ is called the counting field. We introducethe counting field only between the system and theright reservoir as shown in Fig. 1. To calculate thecumulant-generating function Gε(χ), we introduce thematrix K(α(θ), χ) which (i, j)-component is given askij(α(θ), χ) := kLij(α(θ)) + kRij(α(θ))eiχqij(θ), whereqij(θ) is the transfer from the system S to the rightreservoir R with the transition j → i at θ [15, 16]. Weassume qij(θ) = −qji(θ). Let us consider the time evo-lution of vector |p(θ, χ)〉 discribed by the generalizedmaster equation

∂θ|p(θ, χ)〉 = ε−1K(α(θ), χ)|p(θ, χ)〉, (5)

with initial condition |p(0, χ)〉 = |p(0)〉. By using thesolution of Eq. (5), the scaled cumulant-generating

3

function can be written as

Gε(χ) =ε

2πln〈1|p(θ, χ)〉. (6)

The n-th cumulant for the transfer q can be calculatedby the n-th derivative of Gε(χ) as

ε

2π〈qn〉c =

∂n

∂(iχ)nGε(χ)

∣∣∣∣iχ=0

. (7)

Note that the average of the current J := Ωq/(2πΓ) =εq/2π can be written as

〈J〉 =ε

2π〈q〉c = ∂iχGε(χ)|χ=0 . (8)

III. ADIABATIC PUMPING

In this section, we briefly review the method to ob-tain the cumulant-generating function for the transferq under the adiabatic process [59–61]. First, we adoptthe adiabatic approximation

|p(θ, χ)〉 ' exp

1

ε

∫ θ

0

dθ′[λ(θ′, χ)− ε v(θ′, χ)]

× |r(θ, χ)〉〈1|r(0, χ)〉−1, (9)

where λ(θ, χ) is the eigenvalue of K(α(θ), χ), whichreduces to zero in the limit χ → 0. Here we de-fine v(θ, χ) := 〈l(θ, χ)|∂θ|r(θ, χ)〉, where 〈l(θ, χ)| and|r(θ, χ)〉 are the left and right eigenvectors correspond-ing to λ(θ, χ), respectively.

The scaled cumulant-generating function for thetransfer q is given by

Gε(χ) =ε

2πln〈1|p(2π, χ)〉. (10)

By using the adiabatic solution (9), we obtain

Gε(χ) = Λ(χ)− εV (χ), (11)

where

Λ(χ) :=1

∫ 2π

0

dθλ(θ, χ) (12)

is the dynamical part and

V (χ) :=1

∫ 2π

0

dθv(θ, χ)

=1

∫∫S

dαmdαnF(α, χ), (13)

is the geometrical part. Here we define Fmn(α, χ) :=∂αm〈l0(α, χ)| ∧ ∂αn |r0(α, χ)〉 and S is the open sur-face enclosed by the contour C of parameter control

(see Fig. 2). The derivation of Eqs. (9) is given inAppendix A. Note that λ(θ, χ) satisfies the Levitov-Lesovik-Gallavotti-Cohen (LLGC) symmetry λ(θ, χ) =λ(θ,−χ+ iA(θ)) with the instantaneous bias A(θ) (e.g.inverse temperature difference βR(θ)−βR(θ) in the caseof heat current) while v(θ, χ) does not satisfy such asymmetry, i.e. v(θ, χ) 6= v(θ,−χ+ iA(θ)) [59–61].

Figure 2. A schematic of a contour C and the surface en-closed by C in the parameter space spanned by (αm, αn).

IV. FLUCTUATION RELATIONS

This section is the main part of this paper. In thissection, we present the general expressions for two typesof fluctuation relations for adiabatic pumping processes.In subsection IVA, we discuss the cyclic fluctuation re-lation and in subsection IVB, we give the general ex-pression for the instantaneous fluctuation relation.

A. Cyclic fluctuation relation

Because of Eqs. (4) and (11) the probability distri-bution function Pε(J) of the current J = εq/2π underone-cycle modulation with the parameter ε is given by

Pε(J) =2π

εPτ (q)

=2π

ε

∫ ∞−∞

2πe−

2πε [iχJ−Gε(χ)]

=1

ε

∫ ∞−∞

dχ e−2πε [iχJ−Λ(χ)]−V (χ). (14)

When we consider an adiabatic pumping process (ε 1), the contribution of V (χ) is small. By using thesaddle point approximation, Pε(J) can be evaluated as

Pε(J) ' 1√εΛ(2)(χc(J))

e−2πε [I(J)+εV (χc(J))], (15)

where we have introduced the large deviation function(LDF)

I(J) := iχc(J)J − Λ(χc(J)), (16)

4

where χc(J) is the saddle point which satis-fies ∂iχΛ(χ)|χ=χc(J) = J and Λ(2)(χc(J)) :=

∂2iχΛ(χ)

∣∣χ=χc(J)

. It is expected that I(J) satisfies thesymmetry relation

I(J)− I(−J) = −AJ (17)

where A is the dynamical affinity, which is determinedby quantities of the left and the right reservoir. In fact,it was confirmed numerically that A is given as

A = ln

∫ 2π

0dθn±R(θ)(1± n±L (θ))∫ 2π

0dθn±L (θ)(1± n±R(θ))

, (18)

in two-level systems of fermions [61] and bosons (seeAppendix F). Here n±ν (θ) is the Bose (+) and Fermi (−)distribution of the ν-th reservoir, respectively. Becauseof the absence of the LLGC symmetry for v(θ, χ), itis obvious that V (χ) does not have the correspondingsymmetry. By using Eqs. (15) and (17), we obtain thecyclic fluctuation relation

ε

2πln

Pε(J)

Pε(−J)=AJ − ε[V (χc(J))− V (χc(−J))]

− ε

4πln

Λ(2)(χc(J))

Λ(2)(χc(−J)). (19)

This is one of our main results. The second term onthe right hand side of Eq. (19) stands for the geometri-cal phase contribution which is much smaller than thefirst term. When V (χc(J)) = 0, Eq. (19) reduces tothe steady fluctuation theorem in driven systems [61].Thus, Eq. (19) can be regarded as an extension of thefluctuation theorem for the adiabatic pumping process.If the trajectory C of the parameter modulation is sym-metric with respect to the parameters αm and αn, theaverage bias is zero, i. e. A = 0 and V (−χ) = −V (χ),Λ(χ) = Λ(−χ). In this case, Eq. (19) is reduced to

lnPε(J)

Pε(−J)= −4πV (χc(J)), (20)

which can be expressed only by the geometrical phase.As will be shown in Sec. V, Eq. (20) contains contri-butions nonlinear in J .

B. Instantaneous fluctuation relation

In this subsection, let us consider the instantaneousfluctuation relation of our system. If the master equa-tion (5) does not contain any singularities, the cumulantgenerating function can be written as

Gε(χ) =1

∫ 2π

0

dθg(θ, χ) = limN→∞

1

N

N∑n=1

gn(χ), (21)

where g(θ, χ) := λ(θ, χ) − εv(θ, χ) is the instantaneouscumulant-generating function. Here we discretize θ inthe interval [0, 2π] as in the last expression of Eq. (21),where we have introduced θn := n∆θ, ∆θ := 2π/N ,gn(χ) := g(θn, χ), λn(χ) := λ(θn, χ), vn(χ) := v(θn, χ).From Eq. (21), the distribution of the current duringone cycle can be decomposed into

Pε(J)

= limN→∞

N

∫ ∞−∞

N∏n=1

dJnδ

(J − 1

N

N∑n=1

Jn

)N∏n=1

pn(Jn),

(22)

where

pn(Jn) :=

∫ ∞−∞

εNe−

2πεN [iχJn−gn(χ)] (23)

is the instantaneous distribution at of the current Jnat θ = θn. (The derivation of Eqs. (22) and (23) isexplained in Appendix D). Here we assume (εN)−1 1.This means that (εN)−1 is enough large to relax thesystem to the instantaneous steady state.

By an argument parallel to that used in the previ-ous subsection, the instantaneous distribution for thecurrent Jn is given as

pn(Jn) ' 1√εNλ

(2)n (χc(Jn))

e−2πεN [In(Jn)+vn(χc(Jn))],

(24)where λ(2)

n (χc(Jn)) := ∂2iχλn(χ)

∣∣χ=χc(J)

and we haveintroduced the instantaneous LDF

In(Jn) := iχc(Jn)Jn − λn(χc(J)), (25)

where χc(Jn) satisfies ∂iχλn(χ)|χ=χc(Jn) = Jn. Becausethe instantaneous eigenvalue λn(χ) satisfies the LLGCsymmetry [46–48] λn(χ) = λn(−χ+iAn), In(J) satisfiesthe symmetry relation

In(Jn)− In(−Jn) = −AnJn, (26)

where An is the instantaneous affinity, which is givenby, for example, An = βR(θn)−βL(θn) when we controlthe inverse temperatures βL and βR of the left and theright reservoirs.

From Eqs. (24) and (26), we obtain the instantaneousfluctuation relation

limεN→0

εN

2πln

pn(Jn)

pn(−Jn)= AnJn

− ε[vn(χc(Jn))− vn(χc(−Jn))]

− εN

4πln

λ(2)(χc(J))

λ(2)(χc(−J)). (27)

5

The second term on the right hand side of Eq. (27)expresses the geometrical phase effect at θ = θn, whichis much smaller than the first term. If An = 0, the firstand third terms vanish then the geometrical contribu-tion becomes dominant. As will be shown in Sec. V,the geometric contribution of Eq. (27) is a nonlinearfunction of Jn.

V. APPLICATION TO THE SPIN-BOSONSYSTEM

The results presented in the previous section can beused for an arbitrary adiabatic pumping process if theprocess can be described by the master equation Eq.(5). To know the explicit contribution of the geomet-ric phase in the extended fluctuation relations such asEqs. (19), (20) and (27), we need to know the detailsof the eigenstates and the eigenvalues of the operatorK(α(θ), χ). Here, we apply the general results of Sec.IV to the spin-boson model [62].

A. The spin-boson model

kL10(t)

kL01(t) kR01(t)

kR10(t)βL(t) βR(t)ℏω0(t)

p1

p0

target systemleft reservoir right reservoir

Figure 3. A schematic of the spin-boson model.

In this section, we consider a single spin coupled totwo bosonic reservoirs with inverse temperature βν (ν =L,R). We note the vector |p(t)〉 = (p0(t), p1(t)), wherep0 and p1 are the probability to take the dowm and upstate, respectively. In this model, the transition matrixK(t) in Eq. (2) is a 2× 2-matrix and its component isgiven as

kν01(α(t)) := Γν(t)(nν(ω0(t), βν(t)) + 1), (28)kν10(α(t)) := Γν(t)nν(ω0(t), βν(t)), (29)

where nν(ω0(t), βν(t)) := (eβ(t)~ω0(t) − 1)−1 the Bosedistribution function in the ν-th reservoir, ~ω0 is theenergy difference between up and down states. Γν isthe transition rate between the system and the ν-threservoir.

Now, the dimensionless forms of Eqs. (28) and (29)

are written as

kν01(α(θ)) := γν(θ)(nν(ω0(θ), βν(θ)) + 1), (30)

kν10(α(θ)) := γν(θ)nν(ω0(θ), βν(θ)), (31)

where γν(θ) := Γν(θ)/Γ with Γ :=∑ν

∫ 2π

0dθΓν(θ).

Note that ε := Ω/Γ is held in this case. The trans-fer corresponding the transition 1 → 0 is given asq01 = ~ω0 = −q10. We consider the set of parameterα = ω0, γν , βνν=L,R.

B. Cyclic fluctuation relation for the spin-bosonmodel

Let us calculate the right hand side of Eq. (19) fortwo types of modulations. In the first case, we controlthe temperature of the left and right reservoirs as

TL(θ) := (~ω0βL(θ))−1 = T0 + TA cos(θ + π/4), (32)

TR(θ) := (~ω0βR(θ))−1 = T0 + TA sin(θ + π/4). (33)

where T0 and TA are the center and the amplitude of thedimensionless temperatures TL and TR, respectively1.For simplicity, we assume ΓL = ΓR = Γ. In the secondcase, we control the dimensionless line-width betweenthe target system and the left reservoir and the energylevel in the target system such that

γL(θ) = γR + γA cos(θ), (34)ω0(θ) := β~ω0(θ) = ωC + ωA sin(θ). (35)

where γA is the amplitude of the dimensionless line-width γL. ωC and ωA are the center and the amplitudeof the dimensionless energy gap between two levels inthe target system 2. For simplicity, we assume βL =βR = β. The BSN curvature Fmn(α) introduced in Eq.(B2) of the first case in Sec.V is given as

F (TL, TR) =1

8

n2Ln

2R

T 2LT

2R(1 + nL + nR)3

, (36)

where nν (ν = L or R) is nν := (eβν~ω0 − 1)−1. Simi-larly, the BSN curvature of the second case in Sec.V isgiven as

F (γL, ω0) =(γL + 1− ω0)nL(1 + nL)

(γL + 1)(1 + 2nL)2. (37)

1 Of course, the continuous control of the temperatures is noteasy but possible as follows. (i) For example, an effective tem-perature is continuously changed in Ref. [63]. (ii) Since weconsider an adiabatic process, it is possible to replace a reser-voir by another reservoir having a different temperature andwait for the system to relax to a steady state. If we can repeatthis process, we can change the temperatures at the reservoirsas in Eqs. (32) and (33).

2 It is easy to control γL(θ) and ω0(θ) in experiments [5–10].

6

Their plots are given in Fig.4. In both cases, becausethe affinity satisfies A = 0, the geometrical phase effectV (χc(J)) plays an important role as in Eq. (20).

0.02

0.04

0.06

0.08

0.10

0.0 0.5 1.0 1.5 2.00.0

0.5

1.0

1.5

2.0

0.02

0.04

0.06

0.08

0.10

TL

T R

-0.10

-0.05

0

0.05

0.10

0.15

0.20

0

1

2

3

4

ω0

0 1 2 3 4γL

−0.10−0.0500.050.100.150.20

Figure 4. Plots of the BSN curvatures Fmn(α) in Eq.(B2) inthe parameter space in the first case (upper) and the secondcase (lower). The cyan circle represents the trajectory ofthe parameter modulation. The geometrical current is de-termined by the integral of Fmn(α) in the area surroundedby this circle.

By expanding the right hand side of Eq. (20) withrespect to J , we obtain

lnPε(J)

Pε(−J)' AC [J +BCJ

3 +O(J5)], (38)

where AC := −4π ∂JV (χc(J))|J=0 and BC :=

-0.2 -0.1 0.0 0.1 0.2-0.015-0.010-0.0050.0000.0050.0100.015

J

logP ϵ

(J)

P ϵ(-J)

−0.2 −0.1 0.0 0.1 0.2J

0.0000.0050.0100.015

−0.005−0.010−0.015

lnP ϵ

(J)P ϵ

(−J)

0.0 0.1 0.2 0.3 0.4 0.5-0.14-0.13-0.12-0.11-0.10-0.09-0.08

TA

V 3 V 1

0.0 0.1 0.2 0.3 0.4 0.5−0.14−0.13−0.12−0.11−0.10−0.09−0.08

TA

B

Figure 5. Cyclic fluctuation relation under the controlof the reservoir temperatures ( the first case in the maintext ). In the top figure, we plot the lines at T0 = 0.5,TA = 0.1, 0.2, 0.3, 0.4 (colors are blue, yellow, green and red,respectively) and ε = 0.001 as an example of the first case.In the bottom figure, we plot TA dependence of the cubiccontribution BC at T0 = 0.5.

−2π ∂3JV (χc(J))

∣∣J=0

/3AC which depend on the con-tour C of the parameter control. Now C is deter-mined by the set of parameters α = (T0, TA) or(ωC , ωA, γR, γA). With the aid of a numerical calcula-tion for both cases, we obtain Figs. 5 and 6, which showthat BC is not negligibly small. This implies the geo-metrical current or the BSN curvature generates non-Gaussian fluctuations. Our result is consistent with theprevious results of Ref. [60].

C. Relations among cumulants

Let us discuss the relations among cumulants. Thecyclic fluctuation relation (38) can be rewritten as theintegral form ⟨

e−AC(J+BCJ3)⟩' 1. (39)

7

-1.0 -0.5 0.0 0.5 1.0

-0.05

0.00

0.05

J

logP ϵ

(J)

P ϵ(-J)

0.00

0.05

−0.05

lnP ϵ

(J)P ϵ

(−J)

−1.0 −0.5 0.0 0.5 1.0J

0.2 0.4 0.6 0.8

-0.15

-0.10

-0.05

0.00

ωA

V3

0.2 0.4 0.6 0.8

−0.15

−0.10

−0.05

0.00

ωA

B

Figure 6. Cyclic fluctuation relation under the control ofthe energy level and left line-width for ωC = 1, ωA =0.2, 0.4, 0.6, 0.8 (blue, yellow, green and red, respectively),γR = 1, γA = 0.2, 0.4, 0.6, 0.8 (blue, yellow, green and red,respectively) and ε = 0.001 as an example of the secondcase. In the bottom figure, we plot ωA(= γA) dependenceof the cubic contribution BC at ωC = γR = 1.

We expand n-th cumulant with AC in Eq. (38) as

〈Jn〉c =∑m

LnmAmC /m!. (40)

From Eqs. (39) and (40), we obtain the violation of theFDR as

2L11 − L20 + 2BC(L31 + 3L11L20 − L40) = 0 (41)

as the balance of terms of order O(A2C). Similaly, we

also obtain the violation of the nonlinear relation

L12 − L21 +BC(L32 + 3L12L20 + 6L11L21 − 2L41) = 0(42)

as the balance of terms of order O(A3C). Note that

we can obtain more relations as the balance of termsof any order O(AnC). The derivations of Eqs.(41) and(42) are given in Appendix G. The violations of theconventional relations in Eqs. (41) and (42) are causedby the non-Gaussianity BC which originates from theBSN curvature.

D. Instantaneous fluctuation relation

Let us discuss the instantaneous fluctuation relationin this subsection. Here, we control temperatures in theright and the left reservoirs as in Eqs. (32) and (33).At θn = πn and An = 0 the geometrical contribution(the second term on the right hand side of Eq. (27)) isdominant. Its explicit behaviour is plotted as in Fig.7.This result implies that the fluctuation is highly non-Gaussian, in contrast to the conventional fluctuationtheorem.

-4 -2 0 2 4

-0.3

-0.2

-0.1

0.0

0.1

0.2

0.3

0.00.1

−0.1lnP n

(J n)

P n(−

J n)

−4 −2 0 2 4Jn

0.20.3

−0.2−0.3

Figure 7. Plot of the instantaneous fluctuation relation atθn = π with An = 0. T0 = 0.5 and TA = 0.1, 0.2, 0.3, 0.4(blue, yellow, green and red, respectively).

VI. CONCLUSION

In this paper, we derived the cyclic and the instanta-neous fluctuation relations given in Eqs. (19) and (27),respectively, for adiabatic pumping processes. We ap-plied these results to the spin-boson model and clarifiedthe existence of non-Gausianity as the geometric phasecontribution in the fluctuation relations as in Eq. (38)(Fig. 5). We confirmed that the non-Gaussianity V3(α)in Eq.(38) is not small. From the cyclic fluctuation re-lation, we obtained the relations among cumulants (41)and (42), which show the violation of the FDR andother conventional relations among cumulants. Our re-sults indicate that the conventional fluctuation theoremshould be extended to include non-Gaussian fluctua-tions if the geometric phase effect exists under cyclicmodulation of parameters.

Our future tasks are as follows: (i) Because our anal-ysis is restricted to the adiabatic case, we will have totry to extend our analysis to the non-adiabatic case. Ifwe restrict our interest to a two-level system like thespin-boson system, we can use the analytic solution ofthe generalized master equation (5) [64]. (ii) Shortcutsto adiabaticity (STA) can be used for the non-adiabatic

8

pumping in which a finite pumping current can be re-alized under finite speed modulation [64]. Therefore,we expect that the universal work-fluctuation relationdiscussed by Funo et al. [65] can be generalized to in-clude non-Gaussian fluctuations as mentioned in thispaper. (iii) We can analyze the entropy production bya parallel method reported in Refs. [40–42] in whichthe excess entropy production can be expressed by thegeometric phase. (iv) We will have to discuss the lin-ear response around a cyclic adiabatic state obtained inthis paper by changing the modulation perturbatively.This linear response theory is expected to be differentfrom that obtained from the Green-Kubo formula [66].(v) We have shown that Eqs. (17) and (18) for dynam-ical part are held at least for the two-level spin-bosonmodel, but we still do not have rigorous proof for thesymmetry relation for general cases. Therefore we needfurther investigation on this problem. (vi) In this paperwe have analyzed a classical system. To know quan-tum coherence effects, we need to analyze the Lindbladequation which has off-diagonal elements, which mightinduce nontrivial effect [67].

ACKNOWLEDGEMENTS

The authors thank Nigel Goldenfeld, Kazutaka Taka-hashi, Kiesuke Fujii, Ken Funo, Hiroyasu Tajima andKeiji Saito for fruitful discussions. We also thank VillePaasonen for his critical reading of this manuscript.This work is partially supported by a Grant-in-Aid ofMEXT for Scientific Research (Grant No. 16H04025).

Appendix A: Adiabatic approximation

Let us assume that the solution |p(θ, χ)〉 of the gener-alized master equation (5) is parallel to the right eigen-vector |r(θ, χ)〉 as

|p(θ, χ)〉 = C(θ, χ)|r(θ, χ)〉, (A1)

where the function C(θ, χ) will be determined later. Byusing the generalized master equation (5) and the nor-malization condition 〈l(θ, χ)|r(θ, χ)〉 = 1, we get

∂θC(θ, χ) = C(θ, χ)[ε−1λ(θ, χ)− v(θ, χ)

], (A2)

where v(θ, χ) = 〈l(θ, χ)|∂θ|r(θ, χ)〉. Equation (A2) canbe solved as

C(θ, χ) = C(0, χ) exp

[∫ θ

0

dθ′[ε−1λ(θ′, χ)− v(θ′, χ)

].

(A3)

From the normalization condition 〈1|p(0, χ)〉 =〈1|p(0)〉 = 1, we get C(0, χ) = 〈1|r(0, χ)〉−1. There-fore, we obtain Eqs.(9).

Appendix B: Pumping current

Although we are not interested in the average cur-rent for the adiabatic pumping process, it is usefulto write its explicit form for the convenience to com-pare our results with the results in the literature. Theaverage current can be decomposed to two parts as〈J〉 = 〈J〉dyn + 〈J〉geo. The first part is the dynamiccurrent expressed as

〈J〉dyn =1

∫ 2π

0

dθJ st(θ), (B1)

where J st(θ) := ∂iχλ(θ, χ)|χ=0 is the instantaneoussteady current. The second part is the geometrical cur-rent expressed as

〈J〉geo = − ε

∫∫S

dαmdαnFmn(α), (B2)

where Fmn(α) := ∂iχF(α, χ)|χ=0 is the BSN curvature[15, 16] in the parameter space. Note that even if theaverage bias is zero such that 〈J〉dyn = 0, 〈J〉geo is gen-erally not zero.

Appendix C: Derivation of Eq.(15)

The current distribution is given in Eq. (15). TheLDF is given in (16). We expand Λ(χ) with respect toiχ around χ = χc(J) as

Λ(χ) = Λ(χc) + Λ(1)(χc)(iχ− iχc)

+1

2Λ(2)(χc)(iχ− iχc)2 +O((iχ− iχc)3), (C1)

where we have introduced Λ(n)(χc(J)) :=∂niχΛ(χ)

∣∣χ=χc(J)

. Then, we get

iχJ − Λ(χ) ' I(J) +1

2Λ(2)(χc(J))(χ− χc(J))2. (C2)

Therefore we obtain Eq.(15) as

Pε(J) ' e− 2πε I(J)

×∫ ∞−∞

εe−

πε Λ(2)(χc(J))(χ−χc(J))2e−2πV (χ)

' 1√εΛ(2)(χc(J))

e−2πε [I(J)+εV (χc(J))]. (C3)

Appendix D: Derivation of Eq.(22)

In this appendix, we explain the details of the deriva-tion of Eqs. (22) and (24). From the definition of Pε(J)

9

in Eq. (15) we can write

Pε(J) =1

ε

∫ ∞−∞

dχe−2πε [iχJ−Gε(χ)]

=1

ε

∫ ∞−∞

dχ exp

[−2π

ε

iχJ − 1

∫ 2π

0

dθg(χ, θ)

](D1)

where g(θ, χ) := λ(θ, χ) − εv(θ, χ). As mentioned inSec. IVB, we discretize variables in the interval [0, 2π]into N pieces. Then, we rewrite Eq.(D1) as

Pε(J) =1

εlimN→∞

∫ ∞−∞

dχ exp

[−2π

ε

iχJ − 1

N

N∑n=1

gn(χ)

]

=1

εlimN→∞

∫ ∞−∞

dχe−2πε iχJ

N∏n=1

e2πεN gn(χ)

=1

εlimN→∞

∫ ∞−∞

dχe−2πε iχJ

N∏n=1

∫ ∞−∞

dχnδ(χ− χn)e2πεN gn(χn), (D2)

where we have used gn(χ) =∫∞−∞ dχnδ(χ−χn)gn(χn). By using δ(x) = 1

∫∞−∞ dk eikx, Eq. (D2) can be rewritten

further as

Pε(J) =1

εlimN→∞

∫ ∞−∞

dχe−2πε iχJ

N∏n=1

∫ ∞−∞

dχn

∫ ∞−∞

dJnεN

e2πεN i(χ−χn)Jne

2πεN gn(χn)

=1

εlimN→∞

N∏n=1

∫ ∞−∞

dJnεN

∫ ∞−∞

dχ exp

[− 2π

εNiχ

(J − 1

N

N∑n=1

Jn

)]N∏n=1

∫ ∞−∞

dχne− 2πεN (iχnJn−gn(χn))

=1

εlimN→∞

N∏n=1

∫ ∞−∞

dJn

∫ ∞−∞

dχ exp

[− 2π

εNiχ

(J − 1

N

N∑n=1

Jn

)]N∏n=1

∫ ∞−∞

dχnεN

e−2πεN (iχnJn−gn(χn))

= limN→∞

N

N∏n=1

∫ ∞−∞

dJnδ

(J − 1

N

N∑n=1

Jn

)N∏n=1

pn(Jn). (D3)

Here we obtain the explicit expression of pn(Jn) asEq.(24).

Appendix E: Detail of the spin-boson model

The eigenvalue λ(θ, χ) of K(α(θ), χ) and correspond-ing eigenvectors 〈l(θ, χ)|, |r(θ, χ)〉 are given as

λ(θ, χ) = −k01(θ) + k10(θ)

2(E1)

+

√(k01(θ)− k10(θ)

2

)2

+ k01(θ, χ)k10(θ, χ),

〈l(θ, χ)| =(

1,λ(θ, χ) + k10(θ)

k10(θ, χ)

), (E2)

|r(θ, χ)〉 =1

c(θ, χ)

1λ(θ, χ) + k10(θ)

k01(θ, χ)

, (E3)

c(θ, χ) := 1 +(λ(θ, χ) + k10(θ))2

k01(θ, χ)k10(θ, χ). (E4)

10

Appendix F: Numerical check of Eq.(17) for thespin-boson model

We derive the LLGC symmetry for λ(θ, χ) in thespin-boson model. The eigenvalue λ(θ, χ) depends on χthrough k01(θ, χ)k10(θ, χ). For any χ, we obtain

0 =k01(θ, χ)k10(θ, χ)

− k01(θ,−χ+ iA(θ))k10(θ,−χ+ iA(θ))

=(kL01(θ)kR10(θ)− kR01(θ)kL10(θ)eA(θ))

× (eiχ + e−iχe−A(θ)), (F1)

where

A(θ) = lnkR01(θ)kL10(θ)

kL01(θ)kR10(θ)= ln

nR(θ)(1 + nL(θ))

nL(θ)(1 + nR(θ)). (F2)

This reduces to A(θ) = ~ω0(βR(θ)− βL(θ)). Thereforewe obtain the LLGC symmetry λ(θ, χ) = λ(θ,−χ +iA(θ)). This leads the symmetry relation (26) for theinstantaneous LDF In(Jn).

When we consider the cyclic modulation in the limitε → 0, the rate function I(J) can be evaluated onlyfrom the dynamical part. We expect that the logarith-mic form of Eq. (F2) satisfies Eq. (18) if we replace thenumerator and the denominator in the right hand sideof Eq. (F2) by its cyclic average. To confirm its valid-ity, we numerically check the validity of Eq. (17). Wecontrol the temperature of the left and right reservoirsas

TL(θ) = TL0 + TLA cos(θ + π/4), (F3)

TR(θ) = TR0 + TRA sin(θ + π/4). (F4)

From the numerical calculation of the left and righthand sides of Eq. (17) in the spin-boson model, wehave confirmed the symmetry relation (17) numerically(Fig. 8). Note that, from our numerical calculation,Λ(χ) = Λ(−χ+ iA) seems to hold.

Appendix G: Derivation of Eqs. (41) and (42)

Eq. (39) can be rewritten as

0 =

∞∑n=1

(−AC)n〈(J +BCJ3)n〉. (G1)

Each moment 〈Jn〉 can be rewritten by cumulants 〈Jn〉cas

〈J〉 = 〈J〉c, (G2)

〈J2〉 = 〈J2〉c + 〈J〉2c , (G3)

〈J3〉 = 〈J3〉c + 3〈J2〉c〈J〉c + 〈J〉3c . (G4)

-1.0 -0.5 0.0 0.5 1.0

-0.04

-0.02

0.00

0.02

0.04

−1.0 −0.5 0.0 0.5 1.0−0.04

−0.02

0.00

0.02

0.04

I(J)−

I(−J)

J

Figure 8. The verification of the symmetry relation ofthe large deviation function, Eq. (16), in the spin-bosonmodel. The points are the plots of I(J) − I(−J) at(TR0, TRA) = (5, 4) and (TL0, TLA) = (10, 9), (6, 5), (5, 4)(their colors are red, purple, blue, respectively). The solidlines are the plots of −AJ at (TR0, TRA) = (5, 4) and(TL0, TLA) = (10, 9), (6, 5), (5, 4) (their colors are orange,magenta and cyan, respectively).

By using Eq. (40), we obtain

0 = −ACL10

+A2C

[−L11 +

1

2L20 −BC (L13 + 3L20L11 − L40)

]+A3

C

[−L12

2+L21

2−BC

(L32

2+ 3L21L11 +

3

2L20L12 − L41

)]+O(A4

C). (G5)

Then, we obtain Eqs.(41) and (42) as the balance ofterms of order O(A2

C) and O(A3C), respectively.

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