1. Introduction
In quantum theory, quantum systems are divided into two categories: closed quantum systems and open quantum systems. A closed quantum system is isolated and has no interaction with the outside world. However, not all quantum systems are isolated. In practice, most quantum systems inevitably interact with their environments which influence them in a non-negligible way. Such quantum systems are known as open quantum systems [
1,
2,
3].
Usually, an open quantum system interacts with another huge quantum system, namely, its environment is a huge quantum system. In that case, by joining them together, one gets a bigger quantum system, which is referred to as the coupled quantum system. The coupled quantum system can be regarded as a closed one, hence is subject to Hamiltonian dynamics.
Let 
 be the Hilbert space describing an open quantum system and 
 the Hilbert space describing its environment. Then, the coupled quantum system corresponds to the tensor space 
 and its Hamiltonian is given by
      
      where 
 are 
 are the identity operators on 
 and 
 respectively, 
 stands for the Hamiltonian of the open quantum system, 
 means the free Hamiltonian of the environment, and 
 is the Hamiltonian describing the interaction between the open quantum system and its environment [
1,
3,
4].
Quantum Bernoulli noises (QBN, for short) refer to the annihilation and creation operators 
 acting on the space 
 of square integrable Bernoulli functionals, which satisfy the canonical anti-commutation relation (CAR) in equal time [
5,
6]. Recent years have seen many applications of QBN in developing a discrete-time stochastic calculus in infinite dimensions. Indeed, in 2008, Privault [
7] used the annihilation operators to define the gradients for Bernoulli functionals. Two years later, Nourdin et al. [
8] investigated a normal approximation of Rademacher functionals (a special case of Bernoulli functionals) with the help of the annihilation operators. Recently, it has been shown that QBN can play an active role in the study of quantum Markov semigroups and quantum walks [
9,
10,
11,
12].
As is known, 
 is a symmetric Hilbert space of infinite dimension and has an orthonormal basis 
 indexed by the finite power set 
 of the nonnegative integer set 
. And more importantly, as the annihilation and creation operators on 
, QBN satisfies the CAR in equal time. Thus, from the perspective of mathematical physics, 
 together with QBN is quite suitable for describing the environment of an open quantum system [
13].
It is of great significance to develop effective tools dealing with the dynamics of open quantum systems. In the past few years, remarkable attention has been paid to the approach to open quantum systems provided by stochastic Schrödinger equations (SSE, for short), which are a class of stochastic differential equations dominated by Hamiltonian operators on complex Hilbert spaces. Barchielli, et al. [
14,
15] first investigated some linear SSEs with bounded operators as the coefficients and established the existence and uniqueness of strong solutions to such equations. Later, Holevo [
16] obtained an existence and uniqueness result about weak topology solution for a general linear SSE with unbounded operators as the coefficients. In 2007, Mora and Rebolledo [
17] further studied a more general class of SSEs and obtained the corresponding results. Now SSEs are widely used in different fields such as measurement theory, quantum optics, quantum chaos, solid states, etc, wherever quantum irreversibility matters [
18,
19]. They do not only serve as a fruitful theoretical concept but also as a practical method for computations in the form of quantum trajectories (see, e.g., [
4,
17,
20,
21] and references therein).
Let 
 be the Hilbert space of an open quantum system interacting with QBN (the environment). Then, the tensor space 
 just represents the coupled quantum system. In this paper, we introduce in the framework 
 an interacting SSE of the following type
      
      with
      
      where 
H and 
B are self-adjoint operators in 
, 
N is the number operator in 
, 
g is a suitable function defined on the nonnegative integer set 
, and 
 is a sequence of independent real-valued Wiener processes on a filtered complete probability space 
.
The physical meaning of Equation (
1) lies in the following observations. As usual, the self-adjoint operator 
H can be viewed as the Hamiltonian of the open quantum system interacting with QBN (the environment), while the number operator 
N in 
 represents the free Hamiltonian of QBN (the environment). Since 
 is an operator in 
, the tensor product operator 
 just reflects the interaction between the open quantum system and QBN (the environment), while the parameter 
 means the coupling strength. The equation itself, then, describes a type of time evolution of the open quantum system interacting with QBN (the environment).
We mention that ref. [
20] actually considers in the framework 
 (the space of square integrable Bernoulli functionals as mentioned above) an SSE of the form
      
      where 
H is a self-adjoint operator in 
 and 
N is the number operator in 
. Recently, in the same framework, ref. [
21] investigates a SSE of exclusion type, which reads
      
      where 
G is a suitable operator in 
, 
w is a nonnegative function defined on 
, and 
, 
j, 
 are independent real-valued Wiener processes. Clearly, as SSEs in the framework 
, both Equations (
3) and (
4) do not belong to the category of interacting SSEs. Thus, from a perspective of mathematical physics, our interacting SSE (
1) essentially differs from those SSEs considered in refs. [
20,
21]. Additionally, as far as we know, interacting SSEs like ours have not been considered yet in the literature. Finally, we mention that there are a lot of researches on stochastic equations of fractional order in the setting of Banach spaces (see, e.g., [
22,
23] and references therein).
Let us now briefly describe our main work in this paper as follows. We first prove in 
Section 2 several technical propositions about operators in 
. In particular, we obtain the spectral decomposition of the tensor operator 
 (see Proposition 3), where 
 denotes the identity operator on 
 and 
N is the number operator in 
, and give a representation of 
 in terms of operators 
, 
 (see Proposition 4). And then, in 
Section 3, by using these technical propositions as well as Mora and Rebolledo’s results on a general SSE, we show that, under some mild conditions, our interacting SSE Equation (
1) has a unique solution admitting some regularity properties (see Theorem 4 and Theorem 6). Some other results are also proven therein.
Throughout, ,  and  stand for the set of nonnegative integers, the set of real numbers and the set of complex numbers, respectively. If z is a complex number, then  and  denote its real and imaginary parts, respectively. For a mapping A, we denote by  its domain. If A is a densely defined operator in a Hilbert space, then  means its adjoint operator.
  2. Technical Preparations
In this section, we make some technical preparations, which will play an important role in explaining the precise meaning of Equation (
1) and in proving our main theorems on Equation (
1). We refer to 
Appendix A.2 for main notions, facts and notation about the space 
 of square-integrable Bernoulli functionals and quantum Bernoulli noises (QBN).
Recall that  is the Hilbert space of an open quantum system interacting with QBN (the environment), while  is the space where QBN lives. Thus  just acts as the Hilbert space of the coupled system. We fix an ONB  for . Then the system  forms an ONB for , where  is the canonical ONB for . We use  and  to mean the inner product and norm in  respectively, while we write  and  for the inner product and norm in  respectively.
Let 
S and 
T be densely-defined symmetric operators in 
 and 
, respectively. Then, according to the general theory of operators in Hilbert spaces (see, e.g., [
24,
25,
26]), their tensor product 
 is defined as the closure of the densely-defined symmetric (hence, closable) operator 
 in 
 given by
      
      and  
, where the symbol 
 means the linear subspace spanned by a vector set 
. It is known that 
 remains symmetric, hence a closed symmetric operator in 
. Further, if 
S and 
T are bounded symmetric operators, then 
 coincides with the usual tensor product of 
S and 
T as bounded operators.
Lemma 1. 
[
26] 
Let S and T be self-adjoint operators in  and , 
respectively. Then, 
 is a self-adjoint operator in . 
In particular, both  and  are self-adjoint operators in , 
where  and  are the identity operators on  and , 
respectively.
 For a function 
, the operator 
 in 
 is naturally defined as
      
      where 
 consists of vectors 
 such that the series 
 converges in norm. In what follows, for 
, we denote by 
 the space of all complex-valued functions 
g on 
 satisfying that
      
      and write 
 for the norm in 
.
Proposition 1. 
For all ,  is a densely-defined symmetric operator in . Moreover, if , then  is a self-adjoint bounded operator on  with .
 Proof.  Let 
 be given. Then, for all 
 and all nonnegative integers 
m and 
n with 
, we have
        
        which, together with 
, implies that the series 
 converges in norm, hence 
. Therefore, 
, which implies that 
 is a dense in 
, namely, 
 is a densely-defined operator in 
.
It is easy to show that 
 is symmetric. Now suppose that 
. Then, in view of the fact that 
 for all 
, we find
        
        which implies that the operator series 
 converges in operator norm. Thus, 
 and 
 is a bounded operator on 
 with 
. Finally, using the symmetric property of 
, we know that 
 is self-adjoint.    □
 Proposition 2. 
Let B be a self-adjoint operator in . Then, for each ,  is a densely-defined closed symmetric operator in .
 Proof.  B is a densely-defined symmetric operator in  since it is self-adjoint. On the other hand, using Proposition 1, we know that  is also a densely-defined symmetric operator in . Thus, by definition,  is a densely-defined closed symmetric operator in .    □
 Recall that the number operator N in  is a self-adjoint one. Thus, by Lemma 1,  is a self-adjoint operator in . The next proposition actually gives its spectral decomposition.
Proposition 3. 
It holds true that , where  means the Dirac operator on  associated with the basis vector .
 Proof.  Write 
. Then, by the general theory of spectral integrals [
27], 
 is the self-adjoint operator in 
 given by
        
        with
        
Next, we prove that 
. To this end, we consider the restriction 
 of 
 to
        
        which is a dense subspace of 
. Then, by the definition of 
, we know that 
 is the closure of 
, equivalently 
.
Let 
 and 
 be given. A straightforward calculation gives
        
        which implies that 
. Additionally, by the definitions of 
 and 
N, we have
        
Thus  and , , namely , which together with  implies that . Thus, , which together with  yields . Since both  and  are self-adjoint operators in , we finally know that .    □
 The next proposition further shows that the operator  has a representation in terms of the identity operator  on  as well as the product operators , , on .
Proposition 4. 
Let  be a vector in . Then   if and only if the vector series  converges in norm. In that case, one has  Proof.  The “if” part. It follows from the norm convergence of the vector series 
 that there exist a finite constant 
 such that
        
On the other hand, by using the continuity of operator 
, we have
        
Thus,
        
        which, together with 
 as well as the Fatou’s theorem, gives
        
        which together with Proposition 3 implies that 
.
The “only if” part. Let 
 be given. Then, by Proposition 3, we know
        
On the other hand, we have
        
        and for all 
,
        
Thus, by the well known dominated convergence theorem, we find
        
Now, for 
m, 
 with 
, by using properties of operator 
, we can get
        
Thus
        
        which implies that the series 
 converges in norm.
Finally, we verify Equality (
8). To do so, we take 
. Then, by Proposition 3 as well as the dominated convergence theorem, we have
        
Therefore Equality (
8) holds.    □
 Remark 1. 
According to Proposition 4, the operator  can actually be represented as This shows the close links between  and the family  of bounded operators on .
 Recall that 
 is a self-adjoint operator in 
. Hence, for any 
, 
 makes sense as a self-adjoint operator in 
. In fact, using Proposition 3, 
 can be directly defined as follows.
      
      where
      
According to Lemma 1,  makes sense as a self-adjoint operator in  for each real number . Using the same method as in the proof of Proposition 3, we can prove the following useful result.
Proposition 5. 
Let  be a real number. Then it holds true that  .
   3. Solutions to Interacting SSE
In this section, we consider the existence and uniqueness of a regular solution to Equation (
1) in the framework of 
, where, as shown above, 
 is the Hilbert space of an open quantum system interacting with QBN (the environment), and 
 is the space of square integrable Bernoulli functionals, which describes QBN (the environment). We will freely use notions and known results about a general SSE, which are collected in 
Appendix A.1.
Recall that  is a sequence of independent real-valued Wiener processes on a filtered complete probability space . In what follows, we use  to mean the expectation with respect to , and by “a.s.” we mean “almost surely with respect to ”.
We note that 
H and 
B appearing in Equation (
1) are self-adjoint operators in 
. Hence, by Lemma 1, 
 is a self-adjoint operator in 
 and, by Proposition 2, 
 is a densely-defined closed symmetric operator in 
 for each 
. Additionally, we always assume that the parameter 
 in Equation (
1) is given.
Theorem 1. 
Suppose that  and . Then, Equation (1) satisfies the fundamental hypothesis as indicated in Definition A1 of the Appendix A.  Proof.  Let 
 and 
 for 
. Then, by the assumptions, 
. Clearly, 
, 
, which means that
        
Now let 
 and write 
. Then, by the symmetric property of 
 and 
, we have
        
On the other hand, for each 
, 
 is a projection operator on 
 since 
 is a projection operator on 
 (see 
Appendix A.2). This, together with Proposition 4, gives
        
This means that Equation (
1) satisfies the fundamental hypothesis as indicated in Definition A1 of the 
Appendix A.1.    □
 Recall that  denotes the collection of all subsets of  . In what follows, for , we set , which is a finite-dimensional subspace of . we denote by  the projection operator from  onto .
Theorem 2. 
Let  be a nonnegative real number. Then, for all ,  makes sense, and moreover,  on .
 Proof.  For brevity, we write 
. Let 
. Clearly, 
, which, together with the fact that 
 is the range of 
, implies that 
 makes sense. Now suppose that 
. Then, it follows from the definitions of 
 and 
 as well as the equality that
        
By using the equality 
, 
, 
, we can similarly get
        
Thus . This completes the proof.    □
 Theorem 3. 
Let  be a real number and  be a given function. Suppose thatand there exist two finite constants a,  such thatwhere . Then  is a reference operator of Equation (1).  Proof.  As before, we write ,  and  for . Obviously, . Additionally, by the assumptions as well as Proposition 3, we have  and . Thus .
Recall that the system 
 is an ONB for 
. For 
, 
, by a simple calculation, we find
        
Thus .
Also for 
, 
, by using 
, we have
        
For all 
 and 
, by direct computations we have
        
        and
        
        which implies that
        
        and
        
Finally, for all 
, using Theorem 2 yields
        
Therefore, 
 is a reference operator of Equation (
1).    □
 Theorem 4. 
Let  be a real number and  a given function. Suppose further that  and there exist two finite constants  such thatwhere . Then, for each -measurable -value random variable ξ with  a.s. and , there exists a unique -strong solution  to Equation (1) such that . And moreover, the solution  satisfies thatand  Proof.  Using Lemma A1 in the 
Appendix A and Theorem 3, we can come straightforward to the conclusion.    □
 As is seen, Theorem 4 offers conditions for Equation (
1) to have a unique regular solution. From a viewpoint of application, however, it seems those conditions are not so easy to check. Next, we would like to find out easily-checking conditions.
For a function 
, we write 
, which is naturally defined as an operator in 
. Moreover, if 
, then 
 is a bounded operator on 
 with 
. Cf the definition of the operator 
 in (
6) and Proposition 1.
Theorem 5. 
Let H and B be self-adjoint bounded operators on ,  a real number and . Then, it holds true thatwhere .  Proof.  For 
, we set 
. Then, by the definition of 
, we know that 
 is a core of 
, namely 
. Additionally, it can be verified that 
 and
        
Now, let us show some useful claims as follows:
Claim A:  and  on . The proof of this claim is quite straightforward, hence is omitted here.
Claim B: For all 
, 
 and it holds on 
 that
        
        where 
 is the function on 
 given by 
 when 
 and 
 when 
.
In fact, for all 
 and 
, by the inclusion relations 
 and 
 as well as  Theorems 4.7 and 4.8 of [
11], we have
        
        and
        
        which implies that 
 and
        
Thus, Claim B is true.
Claim C: For all 
, it holds true that
        
Indeed, for all 
, by Claims A and B, we have 
 and
        
        which together with 
 implies that
        
        which together with 
 gives
        
        which, together with 
, 
 (both in operator norm), 
 as well as 
, implies that
        
Finally, we verify inequality (
12). Let 
 be given. Then, by the self-adjoint property of 
 as well as the fact that 
 is a core of 
, there exists a sequence 
 such that 
 and 
, which together with Claim C implies that
        
        which, together with 
 and 
, yields
        
This completes the proof.    □
 Combining Theorem 4 with Theorem 5, we come to the next theorem, which provides easily-checking conditions for Equation (
1) to have a regular solution.
Theorem 6. 
Let H, B be self-adjoint bounded operators on ,  a real number and . Then, for each -measurable -value random variable ξ with  a.s. and , there exists a unique -strong solution  to Equation (1) such that . And moreover, the solution  satisfies thatandwhere .  Usually, an open quantum system is quite small compared to its environment. Even in many cases, the open quantum system of interest can be described by a finite-dimensional Hilbert space. Thus, from a perspective of mathematical physics, the conditions provided in Theorem 6 are reasonable and mild.
Example 1. 
Let  and  be bounded sequences of real numbers. Consider the function ,  and the operators ,  defined respectively bywhere  is the ONB for  and  the Dirac operator associated with j. Clearly, both  and  are self-adjoint bounded operators on , and moreover . Now by letting ,  and , one can immediately see that H, B and g satisfy the conditions required in Theorem 6. This validates Theorem 6.