1. Introduction
Ever since the establishment of the second law of thermodynamics, its relation to time-reversal invariance in microscopic laws has been remaining as a most outstanding problem in physics [
1,
2]. It is generally assumed that Eddington is the first who coined the term
time’s arrow, in the context of physics [
3]. He mentions by personification that “Shuffling is the only thing which Nature cannot undo.” According to him, a primary law is a law which shows that it is impossible for some things to occur, whereas a secondary law is a law which tells that it is too improbable for them to occur. He also mentions as follows. “The question whether the second law of thermodynamics and other statistical laws are mathematical deductions from the primary laws, presenting their results in a conveniently usable form, is difficult to answer; but I think it is generally considered that there is an unbridgeable hiatus. At the bottom of all the questions settled by secondary law there is an elusive conception of ‘
a priori probability of states of the world’ which involves an essentially different attitude to knowledge from that presupposed in the construction of the scheme of primary law.”
Clearly, a key physical quality relevant here is thermodynamic entropy. The present authors interpret that the purpose of this special issue is to develop discussions about the relationship between thermodynamic entropy and time’s arrow. It is noted, however, that such discussions have recently been criticized in a paper published in this journal [
4]. There, the second law is strictly limited to the thermodynamics of equilibrium states of matters, and any possible generalization of the entropy for time-dependent processes in nonequilibrium thermodynamics is ruled out. This point will not be discussed here, and instead the concept of weak invariants introduced in [
5] will be considered as an indicator of the asymmetry of time.
Thus, the purpose of the present paper is to study a novel aspect of temporally monotonic behaviors of open quantum systems (i.e., systems surrounded by the environment) by use of weak invariants and to compare it with the time evolution of the Rényi entropy, as well as the von Neumann entropy. First, a linear and completely positive map describing the subdynamics of an open quantum system is recapitulated. Next, the fluctuation of a weak invariant is shown to never decrease under such a map, in contrast to the fact that the entropies exhibit such a monotonic behavior under an additional requirement that the map is unital. Then, a specific case is examined when the time evolution is further assumed to be Markovian. Accordingly, what is relevant there is the Gorini–Kossakowski–Lindblad–Sudarshan equation [
6,
7,
8]. Since there may exist multiple weak invariants, the covariance matrix associated with them is naturally defined. Presented is a formula for the time evolution of the covariance matrix under the Gorini–Kossakowski–Lindblad–Sudarshan equation, which generalizes the result given in [
9]. A temporally monotonic behavior is observed in the diagonal elements of the covariance matrix. In this way, the fluctuations of the weak invariants are seen to exhibit asymmetry in time.
Throughout this paper, is set equal to unity.
2. Behaviors of Weak Invariant and Entropy under Completely Positive Map
Let us start our discussion with a completely positive map. The total isolated system consists of the objective system
A and the environment
B, which are interacting with each other. Suppose
A and
B to be unentangled at certain time
t. Hence, the quantum state of the total system is written as
. Although it is also possible to consider the state given by the tensor product of the density matrices describing the mixed states of
A and
B, the result obtained is similar [
10,
11]. Since the total system is isolated, the state evolves in time as follows:
, where
is the unitary time evolution operator that is nonlocal (i.e.,
) because of the interaction between
A and
B. If the state of
B is ignored at
, then the reduced density matrix of
A is obtained via the partial trace of
over
B; that is,
. The partial trace may be performed in terms of a certain complete orthonormal system
:
, where
is a pure state
. Therefore, the time evolution of the state of the subsystem
A is described by a completely positive map
in the Kraus representation [
10,
11] with
which is an operator in the space of
A. Since the total time evolution operator is unitary,
holds, where
is the identity operator in the space of
A. Equation (3) is the trace-preserving condition,
, ensuring the conservation of probability. Therefore, the set
forms a positive operator-valued measure, commonly abbreviated as POVM in the literature.
If the procedure mentioned above is viewed in the opposite way, then it will be seen as an example of the Naimark extension [
12], which allows for the expression of any POVM as the reduction of a projection operator in an extended space (i.e., the total space of
A and
B in the present case). This is performed as follows. Taking Equation (2) into account, write
, from which Equation (1) straightforwardly follows, and Equation (3) is nothing but the normalization condition on
. Define the projection operator as
, satisfying
and
. The probability associated with the projective measurement in the extended space,
, is calculated to be
, which is the probability associated with the “POVM measurement”.
It is noted that, as long as the map in Equation (1) is concerned, does not have to be a pure state. In fact, it can be an arbitrary mixed state in the subsequent discussion.
A special class of completely positive maps is characterized in the case where the identity operator is a fixed point of the maps. For the map in Equation (1), the fixed-point condition,
, reads as
A map simultaneously satisfying Equations (3) and (4) is called
unital [
13]. Clearly, this condition is fulfilled if
’s are
normal [
13]; that is,
, which may not hold, in general.
It is instructive to see the effects of the dynamical map
in Equation (1) on the entropic quantities. Consider the von Neumann entropy:
Here and hereafter, the subscript
A is abbreviated for the sake of notational convenience. The operator-valued function inside the trace operation expressed as
is operator concave [
14], provided that an operator-valued function
f is said to be concave (convex) if it satisfies
for
. The operator inequality
implies that both
and
are Hermitian, and all eigenvalues of
are nonnegative. The concavity of
leads to [
11]
if the dynamical map is unital. Therefore, from the trace-preserving nature of the map, the von Neumann entropy is seen to behave as
for
. It is possible to generalize this result to the case of the Rényi entropy indexed by a positive
(
) value [
15]:
This quantity converges to the von Neumann entropy in the limit
.
is operator concave (convex) if
[
13,
14]; it is not convex if
. Therefore, if the dynamical map
is unital, then it holds the following operator inequalities:
and
. This implies that
and
. Thus,
and
, respectively. Therefore, as the von Neumann entropy, the Rényi entropy does not decrease in time under the unital dynamical map, either:
for
if
(
). This, in fact, generalizes Equation (8).
Next, let us consider the map in Equation (1) for a weak invariant. A weak invariant
is a Hermitian operator defined in such a way that its spectrum depends on time, but its expectation value is conserved [
5]. It generalizes the Lewis–Riesenfeld invariant [
16], which is also a time-dependent Hermitian operator, but its spectrum is constant in time (which is referred to in [
5] as a strong invariant, in contrast to a weak invariant). An example of a weak invariant is a time-dependent Hamiltonian of a subsystem, the internal energy of which remains constant. Such a concept plays a central role, e.g., in the isoenergetic process in finite-time thermodynamics [
17,
18,
19]. By definition,
remains constant in time:
The left-hand side of this equation is calculated to be
where
stands for the adjoint map of
and is given by
for an arbitrary operator
Q. From Equations (11)–(13), it follows that
is a weak invariant if it obeys
This defining equation implies that the adjoint map generates the backward time evolution of the weak invariant. Appearance of both the forward and backward dynamical maps is a peculiar aspect of the theory of weak invariants.
Although
has the conserved expectation value by definition, its fluctuation quantified by the variance
varies in time, in general. Actually, it turns out not to decrease. This can be seen as follows. Clearly, the second term on the right-hand side in Equation (15) is constant, and so it is sufficient to consider only the second moment:
A crucial point to be noted is that
the adjoint map is not only completely positive itself,
but it is also unital (
),
even if is not unital, as can be seen in Equations (3), (13) and (14). Then, the operator convex
satisfies [
14]
Substitution of this inequality into Equation (16) yields
. Therefore,
holds for
. This shows how the fluctuation of a weak invariant exhibits a temporally asymmetric behavior.
At the end of this section, a couple of comments are in order. Firstly, the entropies are defined independently of dynamics, whereas a weak invariant is directly associated with the dynamics (i.e., system-specific). Secondly, the entropies show their monotonicity, as in Equations (8) and (10), under the assumption that the dynamical map is unital, but the result in Equation (18) does not need such an additional requirement.
3. Evolution of Fluctuations and Correlations of Weak Invariants under Gorini–Kossakowski–Lindblad–Sudarshan Equation
Let us consider infinitesimal time evolution in the Markovian approximation. That is,
in Equation (1) is set to be
. Choose one of
’s, say
, and write the others
’s (
). Then, it is convenient to write them as follows [
20]:
Here,
’s are
c-number coefficients that can be complex in general,
H is the Hamiltonian of the subsystem
A, and
’s are the so-called Lindbladian operators. All of these may depend locally on
t. It is straightforward to ascertain that Equation (3) is fulfilled by Equations (19) and (20) up to
. Substitution of Equations (19) and (20) into Equation (1) yields
, where
’s are nonnegative coefficients given in terms of
’s in Equations (19) and (20) as follows:
Therefore, in the limit
, the Gorini–Kossakowski–Lindblad–Sudarshan equation [
6,
7,
8]
is obtained. This is known to be the most general linear Markovian master equation that preserves the positive semidefiniteness of the density matrix. For such preservation, nonnegativity of
’s is essential. The second term on the right-hand side, which highlights the difference of Equation (22) from the Liouville–von Neumann equation is often called the dissipator.
It is known in the literature how the von Neumann entropy and the Rényi entropy evolve under the Gorini–Kossakowski–Lindblad–Sudarshan equation. The time derivatives of these entropies satisfy the following inequalities [
21,
22]:
and
respectively. The symbol
in Equation (24) stands for the so-called
-expectation value, defined by
. Clearly, Equation (24) becomes Equation (23) in the limit of
. Both of these time derivatives are nonnegative if
; that is, the Lindbladian operators are normal (see the discussion just below Equation (4)). It is seen from Equation (20) that the normal Lindbladian operators correspond to the unital dynamical map
in Equation (1), consistent with the fact that Equations (8) and (10) hold if the map is unital.
Now, in a similar way, the weak invariant in Equation (14) with Equations (19) and (20) can also be represented in the differential equation of the following form [
5,
9,
23]:
In fact, the expectation value is conserved
if Equations (22) and (25) are taken into account.
Now, there exist multiple weak invariants as the solutions of Equation (25), in general. In the
Appendix, an example is given in which multiple weak invariants are present. This situation may be in contrast to that concerning the entropies. Let a collection of such weak invariants be denoted by
. What to be analyzed is the covariance matrix, the
-element of which is given by
where
. From Equations (22) and (25), the time evolution of this quantity is calculated to be
A diagonal element
is the variance
quantifying the fluctuation. Its time evolution is thus nonnegative:
under the Gorini–Kossakowski–Lindblad–Sudarshan equation. In addition, in order for this conclusion to be valid, the Lindbladian operators do not have to be normal, corresponding to the fact that Equation (18) holds even for nonunital dynamics maps. This is in marked contrast to the case of the entropies. On the other hand, the off-diagonal elements of the covariance matrix do not have any such temporally asymmetric properties, suggesting that nontrivial information about the subdynamics may be contained in the off-diagonal elements. This point has yet to be clarified. It is also mentioned that Equations (23), (24) and (29) show that the temporally monotonic behaviors are certainly connected to the dissipator, as they should be.
4. Concluding Remarks
In the present work, it has been discussed how the fluctuations of weak invariants associated with the quantum subdynamics of an open quantum system exhibit temporally monotonic behavior. This result has been considered in comparison with that of the entropy, specifically the Rényi entropy, as well as the von Neumann entropy. The entropies do not decrease in time if a completely positive map describing the subdynamics is unital, whereas the fluctuations of the weak invariants monotonically grow without the unital condition on the map; the trace-preserving condition in Equation (3) is sufficient. A formula has also been derived for the time evolution of the covariance matrix of the weak invariants under the Gorini–Kossakowski–Lindblad–Sudarshan equation.
After completion of this work, the present authors’ attention has been drawn to earlier ones in [
24,
25]. There, the damped quantum harmonic oscillator is treated by use of the Gorini–Kossakowski–Lindblad–Sudarshan equation, and the time evolution of the linear entropy (
) as well as the von Neumann entropy in such a specific system is discussed. Since the Rényi entropy
in Equation (9) with
is related to the linear entropy as
, the results in Equations (10) and (24) are more general than those in [
24,
25].
The comparison between the weak invariants and entropies in the context of temporal asymmetry may shed light on a possible hidden relationship between them. In recent work [
26], the action principle has been formulated for a quantum master equation based on the auxiliary field formalism [
27], and it has been found that the auxiliary field is actually a weak invariant. In addition, the auxiliary field has also shown to be the Noether charge [
28]. This reminds one of another observation: the black hole entropy related to surface gravity can be regarded as the Noether charge [
29]. Although so far these two facts are apparently independent each other, the underlying doubled structures, “the auxiliary field and density matrix” and “the physical quantities inside and outside the Killing horizon”, seem to indicate a more general feature to be explored, apart from the relativistic or nonrelativistic nature. Regarding this point, it should be noticed that the authors of [
27] mention an analogy between the doubled structure of “the auxiliary field and density matrix” and the tilde conjugation symmetry in thermo field dynamics [
30]. In addition, the authors of [
31] make a comment that the doubled structure in thermo field dynamics might have its origin in the spacetime structure, although it remains speculative.