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Article

Interacting Stochastic Schrödinger Equation

1
School of Mathematics and Statistics, Northwest Normal University, Lanzhou 730070, China
2
School of Mathematics and Statistics, Qinghai Minzu University, Xining 810007, China
3
School of Science, Lanzhou University of Technology, Lanzhou 730050, China
*
Author to whom correspondence should be addressed.
Mathematics 2023, 11(6), 1388; https://doi.org/10.3390/math11061388
Submission received: 14 February 2023 / Revised: 7 March 2023 / Accepted: 10 March 2023 / Published: 13 March 2023

Abstract

:
Being the annihilation and creation operators on the space h of square integrable Bernoulli functionals, quantum Bernoulli noises (QBN) satisfy the canonical anti-commutation relation (CAR) in equal time. Let K be the Hilbert space of an open quantum system interacting with QBN (the environment). Then K h just describes the coupled quantum system. In this paper, we introduce and investigate an interacting stochastic Schrödinger equation (SSE) in the framework K h , which might play a role in describing the evolution of the open quantum system interacting with QBN (the environment). We first prove some technical propositions about operators in K h . In particular, we obtain the spectral decomposition of the tensor operator I K N , where I K means the identity operator on K and N is the number operator in h , and give a representation of I K N in terms of operators I K k k , k 0 , where k and k are the annihilation and creation operators on h , respectively. Based on 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 has a unique solution admitting some regularity properties. Some other results are also proven.

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 H S be the Hilbert space describing an open quantum system and H E the Hilbert space describing its environment. Then, the coupled quantum system corresponds to the tensor space H S H E and its Hamiltonian is given by
H = H S I E + H I + I S H E ,
where I S are I E are the identity operators on H S and H E respectively, H S stands for the Hamiltonian of the open quantum system, H E means the free Hamiltonian of the environment, and H I 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 { k , k k 0 } acting on the space h 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, h is a symmetric Hilbert space of infinite dimension and has an orthonormal basis { Z σ σ Γ } indexed by the finite power set Γ of the nonnegative integer set N . And more importantly, as the annihilation and creation operators on h , QBN satisfies the CAR in equal time. Thus, from the perspective of mathematical physics, h 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 K be the Hilbert space of an open quantum system interacting with QBN (the environment). Then, the tensor space K h just represents the coupled quantum system. In this paper, we introduce in the framework K h an interacting SSE of the following type
X t = ξ + 0 t i [ H I h + λ B Φ ( g ) ] 1 2 I K N X s d s + k = 0 0 t I K ( k k ) X s d W s k ,
with
Φ ( g ) = k = 0 g ( k ) ¯ k + g ( k ) k ,
where H and B are self-adjoint operators in K , N is the number operator in h , g is a suitable function defined on the nonnegative integer set N , and ( W k ) k 0 is a sequence of independent real-valued Wiener processes on a filtered complete probability space ( Ω , F , ( F t ) t 0 , P ) .
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 h represents the free Hamiltonian of QBN (the environment). Since Φ ( g ) = k = 0 ( g ( k ) ¯ k + g ( k ) k ) is an operator in h , the tensor product operator B Φ ( g ) just reflects the interaction between the open quantum system and QBN (the environment), while the parameter λ 0 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 h (the space of square integrable Bernoulli functionals as mentioned above) an SSE of the form
X t = ξ + 0 t i H 1 2 N X s d s + k = 0 0 t k k X s d W s k ,
where H is a self-adjoint operator in h and N is the number operator in h . Recently, in the same framework, ref. [21] investigates a SSE of exclusion type, which reads
X t = ξ + 0 t G X s d s + j , k = 0 w ( j , k ) 0 t j k X s d W s j , k ,
where G is a suitable operator in h , w is a nonnegative function defined on N 2 , and W j , k , j, k 0 are independent real-valued Wiener processes. Clearly, as SSEs in the framework h , 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 K h . In particular, we obtain the spectral decomposition of the tensor operator I K N (see Proposition 3), where I K denotes the identity operator on K and N is the number operator in h , and give a representation of I K N in terms of operators I K k k , k 0 (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, N , R and C 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 z and z denote its real and imaginary parts, respectively. For a mapping A, we denote by Dom A its domain. If A is a densely defined operator in a Hilbert space, then A 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 h of square-integrable Bernoulli functionals and quantum Bernoulli noises (QBN).
Recall that K is the Hilbert space of an open quantum system interacting with QBN (the environment), while h is the space where QBN lives. Thus K h just acts as the Hilbert space of the coupled system. We fix an ONB { e j } j 1 for K . Then the system { e j Z σ j 1 , σ Γ } forms an ONB for K h , where { Z σ σ Γ } is the canonical ONB for h . We use · , · and · to mean the inner product and norm in K h respectively, while we write · , · K and · K for the inner product and norm in K respectively.
Let S and T be densely-defined symmetric operators in K and h , respectively. Then, according to the general theory of operators in Hilbert spaces (see, e.g., [24,25,26]), their tensor product S T is defined as the closure of the densely-defined symmetric (hence, closable) operator S 0 T in K h given by
( S 0 T ) ( x ξ ) = ( S x ) ( T ξ ) , x Dom S , ξ Dom T
and Dom ( S 0 T ) = span { x ξ x Dom S , ξ Dom T } , where the symbol span { } means the linear subspace spanned by a vector set { } . It is known that S T remains symmetric, hence a closed symmetric operator in K h . Further, if S and T are bounded symmetric operators, then S T 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 K and h , respectively. Then, S T is a self-adjoint operator in K h . In particular, both S I h and I K T are self-adjoint operators in K h , where I h and I K are the identity operators on h and K , respectively.
For a function g : N C , the operator Φ ( g ) = k = 0 ( g ( k ) ¯ k + g ( k ) k ) in h is naturally defined as
Φ ( g ) ξ = k = 0 g ( k ) ¯ k + g ( k ) k ξ , ξ Dom Φ ( g ) ,
where Dom Φ ( g ) consists of vectors ξ h such that the series k = 0 ( g ( k ) ¯ k + g ( k ) k ) ξ converges in norm. In what follows, for p 1 , we denote by p ( N ) the space of all complex-valued functions g on N satisfying that
k = 0 | g ( k ) | p < ,
and write · p for the norm in p ( N ) .
Proposition 1.
For all g 2 ( N ) , Φ ( g ) is a densely-defined symmetric operator in h . Moreover, if g 1 ( N ) , then Φ ( g ) is a self-adjoint bounded operator on h with Φ ( g ) 2 g 1 .
Proof. 
Let g 2 ( N ) be given. Then, for all σ Γ and all nonnegative integers m and n with m n , we have
k = m n ( g ( k ) ¯ k + g ( k ) k ) Z σ h 2 2 k = m n g ( k ) ¯ k Z σ h 2 + k = m n g ( k ) k Z σ h 2 = 2 k = m n g ( k ) ¯ 1 σ ( k ) Z σ k h 2 + k = m n g ( k ) [ 1 1 σ ( k ) ] Z σ k h 2 = 2 k = m n | g ( k ) ¯ | 2 1 σ ( k ) + k = m n | g ( k ) | 2 [ 1 1 σ ( k ) ] 4 k = m n | g ( k ) | 2 ,
which, together with k = 0 | g ( k ) | 2 < , implies that the series k = 0 ( g ( k ) ¯ k + g ( k ) k ) Z σ converges in norm, hence Z σ Dom Φ ( g ) . Therefore, { Z σ σ Γ } Dom Φ ( g ) , which implies that Dom Φ ( g ) is a dense in h , namely, Φ ( g ) is a densely-defined operator in h .
It is easy to show that Φ ( g ) is symmetric. Now suppose that g 1 ( N ) . Then, in view of the fact that k = k = 1 for all k 0 , we find
k = 1 ( g ( k ) ¯ k + g ( k ) k ) k = 1 | g ( k ) ¯ | k + | g ( k ) | k = 2 k = 1 | g ( k ) | = 2 g 1 ,
which implies that the operator series k = 1 ( g ( k ) ¯ k + g ( k ) k ) converges in operator norm. Thus, Dom Φ ( g ) = h and Φ ( g ) is a bounded operator on h with Φ ( g ) 2 g 1 . Finally, using the symmetric property of Φ ( g ) , we know that Φ ( g ) is self-adjoint. □
Proposition 2.
Let B be a self-adjoint operator in K . Then, for each g 2 ( N ) , B Φ ( g ) is a densely-defined closed symmetric operator in K h .
Proof. 
B is a densely-defined symmetric operator in K since it is self-adjoint. On the other hand, using Proposition 1, we know that Φ ( g ) is also a densely-defined symmetric operator in h . Thus, by definition, B Φ ( g ) is a densely-defined closed symmetric operator in K h . □
Recall that the number operator N in h is a self-adjoint one. Thus, by Lemma 1, I K N is a self-adjoint operator in K h . The next proposition actually gives its spectral decomposition.
Proposition 3.
It holds true that I K N = σ Γ ( # σ ) I K | Z σ Z σ | , where | Z σ Z σ | means the Dirac operator on h associated with the basis vector Z σ .
Proof. 
Write N ˜ = σ Γ ( # σ ) I K | Z σ Z σ | . Then, by the general theory of spectral integrals [27], N ˜ is the self-adjoint operator in K h given by
N ˜ u = σ Γ ( # σ ) I K | Z σ Z σ | u , u Dom N ˜
with
Dom N ˜ = u K h | σ Γ ( # σ ) 2 I K | Z σ Z σ | u 2 < .
Next, we prove that I K N = N ˜ . To this end, we consider the restriction I K 0 N of I K N to
D = span { x ξ x K , ξ Dom N } ,
which is a dense subspace of K h . Then, by the definition of I K N , we know that I K N is the closure of I K 0 N , equivalently I K N = ( I K 0 N ) .
Let x K and ξ Dom N be given. A straightforward calculation gives
σ Γ ( # σ ) 2 ( I K | Z σ Z σ | ) ( x ξ ) 2 = x 2 σ Γ ( # σ ) 2 | Z σ , ξ h | 2 < ,
which implies that x ξ Dom N ˜ . Additionally, by the definitions of N ˜ and N, we have
N ˜ ( x ξ ) = x σ Γ ( # σ ) Z σ , ξ h Z σ = x N ξ = ( I K N ) ( x ξ ) = ( I K 0 N ) ( x ξ ) .
Thus D Dom N ˜ and N ˜ φ = ( I K 0 N ) φ , φ D , namely I K 0 N N ˜ , which together with N ˜ = N ˜ implies that N ˜ ( I K 0 N ) . Thus, ( I K 0 N ) N ˜ = N ˜ , which together with I K N = ( I K 0 N ) yields I K N N ˜ . Since both I K N and N ˜ are self-adjoint operators in K h , we finally know that I K N = N ˜ . □
The next proposition further shows that the operator I K N has a representation in terms of the identity operator I K on K as well as the product operators k k , k 0 , on h .
Proposition 4.
Let u K h be a vector in K h . Then u Dom ( I K N ) if and only if the vector series k = 0 ( I K k k ) u converges in norm. In that case, one has
( I K N ) u = k = 0 ( I K k k ) u .
Proof. 
The “if” part. It follows from the norm convergence of the vector series k = 0 ( I K k k ) u that there exist a finite constant c 0 such that
k = 0 n ( I K k k ) u c , n 0 .
On the other hand, by using the continuity of operator I K k k , we have
k = 0 n ( I K k k ) u = k = 0 n ( I K k k ) j = 1 σ Γ e j Z σ , u ( e j Z σ ) = j = 1 σ Γ ( k = 0 n 1 σ ( k ) ) e j Z σ , u ( e j Z σ ) .
Thus,
k = 0 n ( I K k k ) u 2 = j = 1 σ Γ k = 0 n 1 σ ( k ) 2 | e j Z σ , u | 2 c 2 < ,
which, together with k = 0 1 σ ( k ) = # σ as well as the Fatou’s theorem, gives
σ Γ ( # σ ) 2 ( I K | Z σ Z σ | ) u 2 = j = 1 σ Γ ( # σ ) 2 | e j Z σ , u | 2 c 2 < ,
which together with Proposition 3 implies that u Dom ( I K N ) .
The “only if” part. Let u Dom ( I K N ) be given. Then, by Proposition 3, we know
j = 1 σ Γ ( # σ ) 2 | e j Z σ , u | 2 = σ Γ ( # σ ) 2 ( I K | Z σ Z σ | ) u 2 < .
On the other hand, we have
k = m 1 σ ( k ) 2 | e j Z σ , u | 2 ( # σ ) 2 | e j Z σ , u | 2 , σ Γ , j 1 , m 0 ,
and for all σ Γ , j N ,
k = m 1 σ ( k ) 2 | e j Z σ , u | 2 0 ( m ) .
Thus, by the well known dominated convergence theorem, we find
j = 1 σ Γ k = m 1 σ ( k ) 2 | e j Z σ , u | 2 j = 1 σ Γ 0 = 0 ( m ) .
Now, for m, n 0 with m n , by using properties of operator k k , we can get
k = m n ( I K k k ) u 2 = j = 1 σ Γ k = m n 1 σ ( k ) 2 | e j Z σ , u | 2 j = 1 σ Γ k = m 1 σ ( k ) 2 | e j Z σ , u | 2 .
Thus
k = m n ( I K k k ) u 2 0 ( m , n ) ,
which implies that the series k = 0 ( I K k k ) u converges in norm.
Finally, we verify Equality (8). To do so, we take u Dom ( I K N ) . Then, by Proposition 3 as well as the dominated convergence theorem, we have
( I K N ) u k = 0 n ( I K k k ) u 2 = σ Γ ( # σ ) ( I K | Z σ Z σ | ) u k = 0 n ( I K k k ) u 2 = j = 1 σ Γ # σ e j Z σ , u ( e j Z σ ) j = 1 σ Γ k = 0 n 1 σ ( k ) e j Z σ , u ( e j Z σ ) 2 = σ Γ j = 1 k = n + 1 1 σ ( k ) 2 | e j Z σ , u | 2 0 ( n ) .
Therefore Equality (8) holds. □
Remark 1.
According to Proposition 4, the operator I K N can actually be represented as
I K N = k = 0 I K k k .
This shows the close links between I K N and the family { I K k k k 0 } of bounded operators on K h .
Recall that I K N is a self-adjoint operator in K h . Hence, for any r 0 , ( I K N ) r makes sense as a self-adjoint operator in K h . In fact, using Proposition 3, ( I K N ) r can be directly defined as follows.
( I K N ) r u = σ Γ ( # σ ) r ( I K | Z σ Z σ | ) u , u Dom ( I K N ) r ,
where
Dom ( I K N ) r = u K h | σ Γ ( # σ ) 2 r ( I K | Z σ Z σ | ) u 2 < .
According to Lemma 1, I K N r makes sense as a self-adjoint operator in K h for each real number r 0 . Using the same method as in the proof of Proposition 3, we can prove the following useful result.
Proposition 5.
Let r 0 be a real number. Then it holds true that ( I K N ) r = I K N r .

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 K h , where, as shown above, K is the Hilbert space of an open quantum system interacting with QBN (the environment), and h 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 ( W k ) k 0 is a sequence of independent real-valued Wiener processes on a filtered complete probability space ( Ω , F , ( F t ) t 0 , P ) . In what follows, we use E to mean the expectation with respect to P , and by “a.s.” we mean “almost surely with respect to P ”.
We note that H and B appearing in Equation (1) are self-adjoint operators in K . Hence, by Lemma 1, H I h is a self-adjoint operator in K h and, by Proposition 2, B Φ ( g ) is a densely-defined closed symmetric operator in K h for each g 2 ( N ) . Additionally, we always assume that the parameter λ 0 in Equation (1) is given.
Theorem 1.
Suppose that g 2 ( N ) and Dom I K N Dom H I h Dom B Φ ( g ) . Then, Equation (1) satisfies the fundamental hypothesis as indicated in Definition A1 of the Appendix A.
Proof. 
Let G = i [ H I h + λ B Φ ( g ) ] 1 2 I K N and L k = I K k k for k 0 . Then, by the assumptions, Dom G = Dom I K N . Clearly, Dom L k = K h , k 0 , which means that
Dom G Dom L k , k 0 .
Now let u Dom G and write N ˜ = I K N . Then, by the symmetric property of H I h and B Φ ( g ) , we have
2 u , G u = 2 [ i u , ( H I h ) u i λ u , ( B Φ ( g ) ) u 1 2 u , N ˜ u ] = u , N ˜ u .
On the other hand, for each k 0 , I K k k is a projection operator on K h since k k is a projection operator on h (see Appendix A.2). This, together with Proposition 4, gives
k = 0 L k u 2 = k = 0 ( I K k k ) u 2 = k = 0 u , ( I K k k ) u = u , N ˜ u .
Thus
2 u , G u + k = 0 L k u 2 = 0 , u Dom G .
This means that Equation (1) satisfies the fundamental hypothesis as indicated in Definition A1 of the Appendix A.1. □
Recall that Γ n ] denotes the collection of all subsets of { 0 , 1 , , n } . In what follows, for n 1 , we set H n = span { e j Z σ σ Γ n ] , 1 j n } , which is a finite-dimensional subspace of K h . we denote by P n the projection operator from K h onto H n .
Theorem 2.
Let r 0 be a nonnegative real number. Then, for all n 1 , ( I K N ) r P n makes sense, and moreover, ( I K N ) r P n = P n ( I K N ) r on Dom ( I K N ) r .
Proof. 
For brevity, we write N ˜ = I K N . Let n 1 . Clearly, H n Dom N ˜ r , which, together with the fact that H n is the range of P n , implies that N ˜ r P n makes sense. Now suppose that u Dom N ˜ r . Then, it follows from the definitions of N ˜ r and P n as well as the equality that
N ˜ r P n u = σ Γ ( # σ ) r ( I K | Z σ Z σ | ) P n u = σ Γ ( # σ ) r ( I K | Z σ Z σ | ) j = 1 n τ Γ n ] e j Z τ , u ( e j Z τ ) = σ Γ n ] ( # σ ) r j = 1 n e j Z σ , u ( e j Z σ ) = j = 1 n σ Γ n ] ( # σ ) r e j Z σ , u ( e j Z σ ) .
By using the equality e j Z τ , N ˜ r u = ( # τ ) r e j Z τ , u , j 1 , τ Γ , we can similarly get
P n N ˜ r u = j = 1 n τ Γ n ] e j Z τ , N ˜ r u ( e j Z τ ) = j = 1 n τ Γ n ] ( # τ ) r e j Z τ , u ( e j Z τ ) .
Thus N ˜ r P n = P n N ˜ r . This completes the proof. □
Theorem 3.
Let r 1 be a real number and g 2 ( N ) be a given function. Suppose that
Dom I K N Dom H I h Dom B Φ ( g )
and there exist two finite constants a, b 0 such that
( I K N ) 2 r u , [ H I h + λ B Φ ( g ) ] u a ( I K N ) r u 2 + u 2 + b ,
where u Dom ( I K N ) 2 r . Then ( I K N ) r is a reference operator of Equation (1).
Proof. 
As before, we write N ˜ = I K N , G = i [ H I h + λ B Φ ( g ) ] 1 2 N ˜ and L k = I K k k for k 0 . Obviously, Dom N ˜ r Dom N ˜ . Additionally, by the assumptions as well as Proposition 3, we have Dom G = Dom N ˜ and Dom G Dom G . Thus Dom N ˜ r Dom G Dom G .
Recall that the system { e j Z σ j 1 , σ Γ } is an ONB for K h . For j 1 , τ Γ , by a simple calculation, we find
σ Γ ( # σ ) 2 r ( I K | Z σ Z σ | ) ( e j Z τ ) 2 = σ Γ ( # σ ) 2 r e j Z σ , Z τ Z σ 2 = ( # τ ) 2 r < .
Thus { e j Z σ j 1 , σ Γ } Dom N ˜ r .
Also for j 1 , τ Γ , by using L k = L k , we have
k = 0 L k ( e j Z τ ) 2 = k = 0 ( I K k k ) ( e j Z τ ) 2 = k = 0 e j ( 1 τ ( k ) Z τ ) 2 = # τ < .
For all n 1 and u H n , by direct computations we have
N ˜ m u H n Dom N ˜ m , P n N ˜ m u = N ˜ m u , m 1
and
P n ( I K k k ) u = ( I K k k ) u , N ˜ r ( I K k k ) u = ( I K k k ) N ˜ r u , k 0 ,
which implies that
2 N ˜ r u , N ˜ r P n G u = 2 P n N ˜ 2 r u , G u = 2 N ˜ 2 r u , G u
and
k = 0 N ˜ r P n ( I K k k ) u 2 = k = 0 ( I K k k ) N ˜ r u 2 = N ˜ 2 r u , N ˜ u .
Thus
2 N ˜ r u , N ˜ r P n G u + k = 0 N ˜ r P n ( I K k k ) u 2 = 2 N ˜ 2 r u , G u + N ˜ 2 r u , N ˜ u = 2 N ˜ 2 r u , i ( H I h ) u + 2 N ˜ 2 r u , λ i ( B Φ ( g ) ) u = 2 N ˜ 2 r u , [ H I h + λ B Φ ( g ) ] u a ( N ˜ r u 2 + u 2 + b ) .
Finally, for all u Dom N ˜ r , using Theorem 2 yields
sup n 1 N ˜ r P n u = sup n 1 P n N ˜ r u N ˜ r u .
Therefore, ( I K N ) r = N ˜ r is a reference operator of Equation (1). □
Theorem 4.
Let r 1 be a real number and g 2 ( N ) a given function. Suppose further that Dom I K N Dom H I h Dom B Φ ( g ) and there exist two finite constants a , b 0 such that
( I K N ) 2 r u , [ H I h + λ B Φ ( g ) ] u a ( I K N ) r u 2 + u 2 + b ,
where u Dom ( I K N ) 2 r . Then, for each F 0 -measurable K h -value random variable ξ with ξ Dom ( I K N ) r a.s. and E ( ( I K N ) r ξ 2 + ξ 2 ) < , there exists a unique ( I K N ) r -strong solution ( X t ) t 0 to Equation (1) such that X 0 = ξ . And moreover, the solution ( X t ) t 0 satisfies that
E ( X t 2 ) = E ( ξ 2 ) , t 0
and
E ( I K N ) r X t 2 e a t E ( I K N ) r ξ 2 + a t ( E ξ 2 + b ) , t 0 .
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 g : N C , we write Ψ ( g ) = k = 0 ( g ( k ) k g ( k ) ¯ k ) , which is naturally defined as an operator in h . Moreover, if g 1 ( N ) , then Ψ ( g ) is a bounded operator on h with Ψ ( g ) 2 g 1 . Cf the definition of the operator Φ ( g ) in (6) and Proposition 1.
Theorem 5.
Let H and B be self-adjoint bounded operators on K , λ 0 a real number and g 1 ( N ) . Then, it holds true that
| ( I K N ) 2 u , [ H I h + λ B Φ ( g ) ] u | H + 3 λ B g 1 ( I K N ) u 2 + u 2 ,
where u Dom ( I K N ) 2 .
Proof. 
For r 1 , we set D ( r ) = span { x ξ x K , ξ Dom N r } . Then, by the definition of I K N r , we know that D ( r ) is a core of I K N r , namely ( I K N r ) | D ( r ) ¯ = I K N r . Additionally, it can be verified that ( I K N ) D ( 2 ) D ( 1 ) and
( I K N 2 ) u = ( I K N ) [ ( I K N ) u ] , u D ( 2 ) .
Now, let us show some useful claims as follows:
Claim A: ( H I h ) D ( 2 ) D ( 1 ) and ( I K N ) ( H I h ) = ( H I h ) ( I K N ) on D ( 2 ) . The proof of this claim is quite straightforward, hence is omitted here.
Claim B: For all n 0 , ( B Φ ( g n ) ) D ( 2 ) D ( 1 ) and it holds on D ( 2 ) that
( I K N ) ( B Φ ( g n ) ) = ( B Φ ( g n ) ) ( I K N ) + B Ψ ( g n ) ,
where g n is the function on N given by g n ( k ) = g ( k ) when k n and g n ( k ) = 0 when k > n .
In fact, for all x K and ξ Dom N 2 , by the inclusion relations Dom N 2 Dom N and N ( Dom N 2 ) Dom N as well as Theorems 4.7 and 4.8 of [11], we have
g ( k ) ¯ k + g ( k ) k ξ Dom N , 0 k n
and
N g ( k ) ¯ k + g ( k ) k ξ = g ( k ) ¯ k + g ( k ) k N ξ + g ( k ) k g ( k ) ¯ k ξ , 0 k n ,
which implies that ( B Φ ( g n ) ) ( x ξ ) = B x Φ ( g n ) ξ D ( 1 ) and
( I K N ) ( B Φ ( g n ) ) ( x ξ ) = B x N Φ ( g n ) ξ = B x [ Φ ( g n ) N ξ + Ψ ( g n ) ξ ] = ( B Φ ( g n ) ) ( I K N ) ( x ξ ) + ( B Ψ ( g n ) ) ( x ξ ) .
Thus, Claim B is true.
Claim C: For all u D ( 2 ) , it holds true that
| ( I K N 2 ) u , [ H I h + λ B Φ ( g ) ] u | H + 3 λ B g 1 ( I K N 2 ) u , u + u 2 .
Indeed, for all n 0 , by Claims A and B, we have [ H I h + λ B Φ ( g n ) ] u D ( 1 ) and
( I K N ) [ H I h + λ B Φ ( g n ) ] u = ( H I h ) ( I K N ) u + λ ( B Φ ( g n ) ) ( I K N ) u + λ ( B Ψ ( g n ) ) u ,
which together with ( I K N 2 ) u = ( I K N ) [ ( I K N ) u ] implies that
| ( I K N 2 ) u , [ H I h + λ B Φ ( g n ) ] u | = | ( I K N ) u , ( I K N ) [ H I h + λ B Φ ( g n ) ] u | = | ( I K N ) u , ( H I h ) ( I K N ) u + λ ( I K N ) u , ( B Φ ( g n ) ) ( I K N ) u + λ ( I K N ) u , ( B Ψ ( g n ) ) u | ( H + λ B Φ ( g n ) ) ( I K N ) u 2 + λ B Ψ ( g n ) ( I K N ) u u = ( H + λ B Φ ( g n ) ) ( I K N ) u 2 + λ B Ψ ( g n ) ( I K N ) u u [ H + λ B Φ ( g n ) + 1 2 λ B Ψ ( g n ) ] ( I K N ) u 2 + 1 2 λ B Ψ ( g n ) u 2 [ H + λ B Φ ( g n ) + 1 2 λ B Ψ ( g n ) ] [ ( I K N ) u 2 + u 2 ] ,
which together with ( I K N ) u 2 = ( I K N 2 ) u , u gives
| ( I K N 2 ) u , [ H I h + λ B Φ ( g n ) ] u | [ H + λ B Φ ( g n ) + 1 2 λ B Ψ ( g n ) ] [ ( I K N 2 ) u , u + u 2 ] ,
which, together with Φ ( g n ) Φ ( g ) , Ψ ( g n ) Ψ ( g ) (both in operator norm), Φ ( g ) 2 g 1 as well as Ψ ( g ) 2 g 1 , implies that
| ( I K N 2 ) u , [ H I h + λ B Φ ( g ) ] u | H + 3 λ B g 1 ( I K N 2 ) u , u + u 2 .
Finally, we verify inequality (12). Let u Dom ( I K N ) 2 = Dom ( I K N 2 ) be given. Then, by the self-adjoint property of I K N 2 as well as the fact that D ( 2 ) is a core of I K N 2 , there exists a sequence { u n } D ( 2 ) such that u n u and ( I K N 2 ) u n ( I K N 2 ) u , which together with Claim C implies that
| ( I K N 2 ) u , [ H I h + λ B Φ ( g ) ] u | H + 3 λ B g 1 ( I K N 2 ) u , u + u 2 ,
which, together with ( I K N ) 2 = I K N 2 and ( I K N 2 ) u , u = ( I K N ) u 2 , yields
| ( I K N ) 2 u , [ H I h + λ B Φ ( g ) ] u | H + 3 λ B g 1 [ ( I K N ) u 2 + u 2 ] .
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 K , λ 0 a real number and g 1 ( N ) . Then, for each F 0 -measurable K h -value random variable ξ with ξ Dom I K N a.s. and E ( I K N ) ξ 2 ) + ξ 2 < , there exists a unique ( I K N ) -strong solution ( X t ) t 0 to Equation (1) such that X 0 = ξ . And moreover, the solution ( X t ) t 0 satisfies that
E ( X t 2 ) = E ( ξ 2 ) , t 0
and
E ( I K N ) X t 2 e a t E ( I K N ) ξ 2 + a t E ξ 2 , t 0 ,
where a = H + 3 λ B g 1 .
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 x = ( x k ) k 1 and y = ( y k ) k 1 be bounded sequences of real numbers. Consider the function g 0 ( k ) = 1 2 k , k 0 and the operators H 0 , B 0 defined respectively by
H 0 = j = 1 x j | e j e j | , B 0 = j = 1 y j | e j e j | ,
where { e j } j 1 is the ONB for K and | e j e j | the Dirac operator associated with j. Clearly, both H 0 and B 0 are self-adjoint bounded operators on K , and moreover g 0 1 ( N ) . Now by letting H = H 0 , B = B 0 and g = g 0 , one can immediately see that H, B and g satisfy the conditions required in Theorem 6. This validates Theorem 6.

4. Concluding Remarks

SSEs are widely used in many research fields such as measurement theory, quantum optics, quantum chaos, solid states, etc, wherever quantum irreversibility matters. As is seen, in this paper, we introduce and investigate a SSE in terms of quantum Bernoulli noises (QBN), which might serve as a model describing the evolution of an open quantum system interacting with QBN. The main features of our SSE lie in that it contains an interacting term that reflects the interactions between the system and the environment described by QBN.
As can be seen, a SSE is usually considered in the setting of a Hilbert space. This is because a quantum system is usually described by a Hilbert space. From a mathematical point of view, however, one may also consider SSEs in the setting of Banach spaces, and even SSEs of fractal order.

Author Contributions

Investigation, L.Z., C.W. and J.C. All authors have read and agreed to the published version of the manuscript.

Funding

This work is supported by National Natural Science Foundation of China (Grant No. 12261080 and Grant No. 12161050).

Data Availability Statement

All data generated or analyzed during this study are included in this published article.

Conflicts of Interest

The authors declare no conflict of interest.

Appendix A

Appendix A.1. Notions and Known Results about a General SSE

In the first part of the Appendix, we briefly collect some necessary notions and known results about a general linear stochastic Schrödinger equation (SSE). For details, we refer to [17] and references therein.
Let H be a complex separable Hilbert space with an inner product · , · . By convention, we denote by · the norm defined by x = x , x . Consider the following linear SSE in H :
X t = ξ + 0 t G X s d s + k = 0 0 t L k X s d W s k
where ( W k ) k 0 is an independent sequence of real valued Wiener processes on a filtered complete probability space ( Ω , F , ( F t ) t 0 , P ) , and G , L k , k 0 are linear operators in H . The solution to Equation (A1), if it exists, will be a H -valued adapted process ( X t ) t 0 on ( Ω , F , ( F t ) t 0 , P ) .
Definition A1.
[17] Equation (A1) is said to satisfy the fundamental hypothesis if it holds that Dom G Dom L k for all k 0 and
2 x , G x + k = 0 L k x 2 = 0 , x Dom G .
Definition A2.
[17,20] A self-adjoint positive operator C on H is called a reference operator of Equation (A1) if the following conditions are satisfied:
(1) 
Dom C Dom G Dom G ;
(2) 
There exists an orthonormal basis ( e n ) n 1 of H such that { e n | n 1 } Dom C and k = 0 L k e n 2 < for all n 1 ;
(3) 
There exists a sequence of positive integers j 1 < j 2 < < j n < and finite constants a , b 0 , such that
2 C x , C P n G x + k = 0 C P n L k x 2 a ( C x 2 + x 2 + b )
holds for all x Dom H n and n 1 , where H n = span { e 1 , e 2 , , e j n } and P n is the projection operator from H onto H n ;
(4) 
sup n 1 C P n x C x for all x Dom C .
For a linear operator A on H , one can naturally define a mapping π A : H H in the following manner
π A ( u ) = u , if u Dom A ; 0 , if u Dom A .
As usual, A π A means the composition of A and π A , which is defined as A π A ( u ) = A ( π A ( u ) ) for all u h .
Definition A3.
[17] Let C be a reference operator of Equation (A1). An H -valued adapted process ( X t ) t 0 with continuous sample is called a C-strong solution of Equation (A1) if
(i) 
for all t 0 , E X t 2 E ξ 2 , X t Dom C almost surely, and
sup s [ 0 , t ] E C π C ( X s ) 2 < ,
(ii) 
P -a.s., for all t 0 ,
X t = ξ + 0 t G π C ( X s ) d s + k = 0 0 t L k π C ( X s ) d W s k .
Lemma A1.
[17,20] Let C be a reference operator of Equation (A1). Suppose that ξ is an F 0 -random variable taking value in H such that ξ Dom C a.s. and E ( C ξ 2 + ξ 2 ) < . Then there exists a unique C-strong solution ( X t ) t 0 to Equation (A1) such that X 0 = ξ . And moreover, the solution ( X t ) t 0 satisfies that
E ( X t 2 ) = E ( ξ 2 ) , t 0
and
E C X t 2 e a t ( E C ξ 2 + a t ( E ξ 2 + b ) ) , t 0 ,
where a and b are the same as indicated in Definition A2.

Appendix A.2. Square Integrable Bernoulli Functionals and QBN

In the second part of the Appendix, we recall some fundamental notions and facts about square integrable Bernoulli functionals and quantum Bernoulli noises (QBN). For detailed formulation, we refer the reader to [6].
Let ( Σ , A , μ ) be a given probability measure space and Z = ( Z n ) n 0 is a sequence of independent random variables on ( Σ , A , μ ) satisfying that A = σ ( Z n ; n 0 ) , the σ -field generated by Z = ( Z n ) n 0 , and
μ { Z n = θ n } = p n , μ { Z n = 1 / θ n } = q n , n 0 ,
where θ n = q n / p n , q n = 1 p n and 0 < p n < 1 . By [6], Z can be viewed as a discrete-time Bernoulli noise, while complex-valued random variables on ( Σ , A , μ ) can be viewed as functionals of Z.
In the following, we set A 1 = { , Ω } and A n = σ ( Z k ; 0 k n ) , the σ -field generated by ( Z k ) 0 k n , for n 0 . Additionally, we denote by Γ the finite power set of N , namely
Γ = { σ σ N and # σ < } ,
where # σ denotes the cardinality of σ as a set.
Let h be the space of square integrable complex-valued random variables on ( Σ , A , μ ) , namely
h = L 2 ( Σ , A , μ ) ,
which is usually known as the space of square integrable Bernoulli functionals. We denote by · , · h the usual inner product of h and set · h = · , · h , which is a norm. It is known that Z has the chaotic representation property. Thus, h has an orthonormal basis (ONB) of the form { Z σ σ Γ } , where Z = 1 and
Z σ = i σ Z i , σ Γ , σ .
In the sequel, we call { Z σ σ Γ } the canonical ONB for h .
For each nonnegative integer k 0 , there exists a bounded linear operator k on h such that
k Z σ = 1 σ ( k ) Z σ \ k , σ Γ ,
where σ \ k = σ \ { k } and 1 σ ( k ) the indicator of σ as a subset of N . Denoting by k the adjoint operator of k , one has
k Z σ = [ 1 1 σ ( k ) ] Z σ k σ Γ ,
where σ k = σ { k } . The operators k and k are referred to as the annihilation operator and creation operator at the site k, respectively.
Definition A4.
[6] The family { k , k } k 0 of annihilation and creation operators is called quantum Bernoulli noises (QBN, for short).
The next lemma shows that QBNs satisfy the canonical anti-commutation relations (CAR) in equal time.
Lemma A2.
[6] For all j, k 0 , it holds true that k k = k k = 0 , k k + k k = I h and
j k = k j , j k = k j , j k = k j , ( j k ) ,
where I h means the identity operator on h .
For any k 0 , the product operator k k is a projection operator, and moreover it satisfies that
k k Z σ = 1 σ ( k ) Z σ , σ Γ ,
which means that all Z σ with σ Γ are eigenvectors of the product operator k k .
The number operator in h is the densely-defined linear operator N in h given by the following relations
N ξ = σ Γ # σ Z σ , ξ Z σ , ξ Dom N ,
where Dom N denotes the domain of N, which is defined as
Dom N = ξ h | σ Γ ( # σ ) 2 | Z σ , ξ | 2 < .
It is known [20] that N is a self-adjoint unbounded operator with the property that N Z σ = # σ Z σ , where σ Γ .
For a real number r 0 , N r makes sense as a self-adjoint operator in h and has a representation of the following form
N r ξ = σ Γ ( # σ ) r Z σ , ξ Z σ , ξ Dom N r ,
where the domain Dom N r is given by
Dom N r = ξ h | σ Γ ( # σ ) 2 r | Z σ , ξ | 2 < .
See [20] for details.

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Zhang, L.; Wang, C.; Chen, J. Interacting Stochastic Schrödinger Equation. Mathematics 2023, 11, 1388. https://doi.org/10.3390/math11061388

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Zhang, Lu, Caishi Wang, and Jinshu Chen. 2023. "Interacting Stochastic Schrödinger Equation" Mathematics 11, no. 6: 1388. https://doi.org/10.3390/math11061388

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