$L^p$ solutions of doubly reflected BSDEs under general assumptions
Shengjun Fan, Qianyun Qian

TL;DR
This paper establishes existence, uniqueness, and approximation results for $L^p$ solutions of doubly reflected backward stochastic differential equations under a generalized Mokobodzki condition, broadening the understanding of their solvability.
Contribution
It introduces a generalized Mokobodzki condition for doubly reflected BSDEs and proves its necessity and sufficiency for $L^p$ solutions, along with approximation methods.
Findings
Existence and uniqueness of $L^p$ solutions under generalized Mokobodzki condition.
Necessity of the Mokobodzki condition for solution existence.
Solutions can be approximated via penalization and solution sequences.
Abstract
Under a generalized Mokobodzki condition for reflected BSDEs with two continuous barriers which relates the growth of the generator and that of the barriers, we establish several existence and uniqueness results on solutions of doubly reflected BSDEs with generators satisfying a one-sided Osgood condition together with a general growth in the state variable , and a uniform continuity condition or a linear growth condition in the state variable . This Mokobodzki condition is also proved to be necessary for existence of the solutions. And, we prove that the solutions can be approximated by the penalization method and by some sequences of the solutions of doubly reflected BSDEs.
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Taxonomy
TopicsStochastic processes and financial applications · Advanced Mathematical Physics Problems · Differential Equations and Numerical Methods
** solutions of doubly reflected BSDEs
under general assumptions111Supported by the Fundamental Research Funds for the Central Universities (No. 2017XKZD11).**
Shengjun FAN
Qianyun QIAN
School of Mathematics, China University of Mining and Technology, Xuzhou, Jiangsu, 221116, PR China.
Abstract
Under a generalized Mokobodzki condition for reflected BSDEs with two continuous barriers which relates the growth of the generator and that of the barriers, we establish several existence and uniqueness results on solutions of doubly reflected BSDEs with generators satisfying a one-sided Osgood condition together with a general growth in the state variable , and a uniform continuity condition or a linear growth condition in the state variable . This Mokobodzki condition is also proved to be necessary for existence of the solutions. And, we prove that the solutions can be approximated by the penalization method and by some sequences of the solutions of doubly reflected BSDEs.
keywords:
Doubly reflected backward stochastic differential equation , Existence and uniqueness,
Comparison theorem, Penalization method, solution
MSC:
[2010] 60H10, 60H30
\geometry
top=1in,bottom=1in,left=1in,right=1in
1 Introduction
Backward stochastic differential equations (BSDEs for short) were first introduced in linear case by Bismut [4] in 1973, and extended to a fully nonlinear version at the first time by Pardoux and Peng [48] in 1990. Later on, as a variation of the notion of nonlinear BSDEs, nonlinear reflected BSDEs (RBSDEs for short) with one and two continuous barriers were introduced by El Karoui et al. [10] and Cvitanić and Karatzas [8] respectively. At present it has been widely recognized that these equations have natural connections with many problems in different mathematical fields, such as partial differential equations, mathematical finance, stochastic control and game theory, optimal switching problem and other optimality problems and others (see, e.g. [2, 3, 10, 11, 12, 21, 25, 27, 29, 30, 35, 43, 47, 49, 50, 51, 52, 53, 54], etc.), and they provide a very useful and efficient tool for studying these problems.
In Pardoux and Peng [48], El Karoui et al. [10] and Cvitanić and Karatzas [8], the existence and uniqueness result of solutions of non-reflected BSDEs and RBSDEs with one and two continuous barriers are established under the standard assumption that the generator satisfies the linear growth condition and is Lipschitz continuous with respect to the state variables and . Many attempts have been made to relax these assumptions, which are too strong for many interesting applications mentioned above. For example, some works were devoted to solving RBSDEs with less regular barriers, see [3, 21, 22, 23, 38, 42, 52], etc; many scholars were interested in the existence and uniqueness of solutions for non-reflected BSDEs and RBSDEs with data that are in the spaces of and , see [6, 7, 9, 12, 15, 33, 44] for non-reflected BSDEs, and [1, 2, 28, 37, 38, 55] for RBSDEs; and more papers focused their attention on weakening the linear growth condition and Lipschitz-continuity condition of the generator with respect to the state variables and , see [5, 6, 7, 12, 15, 17, 18, 19, 20, 31, 33, 34, 35, 44, 45, 47] for non-reflected BSDEs, and [1, 2, 3, 13, 14, 16, 24, 26, 29, 32, 36, 37, 38, 39, 40, 41, 46, 55, 56, 57] for RBSDEs.
The present paper is the continuation along the last two research directions, which is devoted to solving RBSDEs with two continuous barriers in the space of under general assumptions. The generator of doubly reflected BSDEs only needs to satisfy a one-sided Osgood condition together with a general growth in the state variable , and a uniform continuity condition or a linear growth condition in the state variable (see assumptions (H1), (H3), (H2) and (H2’) in Section 2 respectively), which are weaker than those in many existing works. A generalized Mokobodzki condition (see assumption (H4) in Section 2) for doubly reflected BSDEs which relates the growth of the generator and that of the barriers is put forward and proved to be necessary and sufficient for existence of the solutions. Based on a combination between existing methods, their refinement and perfection, and some new ideas, we prove that the solutions of the doubly reflected BSDEs can be approximated by the penalization method and by some sequences of the solutions of doubly reflected BSDEs. In particular, we also consider the case that the generator may be discontinuous and have a general growth in the state variable .
The rest of this paper is organized as follows. Section 2 contains some notations, definitions, assumptions together with some lemmas and propositions which will be frequently used later. In Section 3, by Theorem 3.15 we verify necessity of the generalized Mokobodzki condition to ensure existence of the solutions. Then, we prove a general comparison theorem of the solutions for RBSDEs with two continuous barriers, which naturally yields uniqueness of the solutions under assumptions (H1) and (H2) (ii), see Proposition 3.16 and Theorem 3.19. In Section 4, by Proposition 4.20 we show the convergence of solutions of the penalization equations for RBSDEs with one continuous barrier under some elementary conditions. And, by Proposition 4.21 we establish an a priori uniform estimate on the solutions of the penalization equations for RBSDEs with one continuous barrier and non-reflected BSDEs under assumptions (H1)-(H4). Then, based on Propositions 3.16, 4.20 and 4.21 together with Remark 4.22, by Theorem 4.23 (resp. Theorem 4.25) we prove existence and uniqueness of the solutions (resp. existence of the maximal and minimal solutions) for the doubly reflected BSDEs under assumptions (H1), (H2) (resp. (H2’)), (H3) and (H4). In Section 5, by Proposition 5.30 we establish a general approximation result for the solutions of the doubly reflected BSDEs under some elementary assumptions, and based on it we prove an existence result of the minimal (maximal) solutions for the doubly reflected BSDEs under several weaker assumptions, see Theorem 5.33, where the generator has a general growth in and a linear growth in , but it is interesting that may be discontinuous in as considered in Fan and Jiang [19] and Zheng and Zhou [57], see assumptions (A1a) and (A1b) in Section 5. Finally, at the end of Sections 4 and 5, we provide several examples which the results of this paper can (but any existing works can not) be applied to, and give some remarks to illustrate further our theoretical results, see Remarks 4.29 and 5.37 for more details. And, some details for the proof of Propositions 4.20 and 5.30 are provided in Appendix.
At the end of the introduction, we would like to mention that the results obtained in this paper improve considerably some known works. In particular, these results extend the corresponding results in Fan [16] for RBSDEs with one continuous barrier to the case of RBSDEs with two continuous barriers, and strengthen the corresponding results in Klimsiak [38], where the generator needs to satisfy some stronger assumptions (see assumptions (H1s) and (H2s) in Section 2) than ours.
2 Preliminaries
2.1 Notations
In the whole paper we fix a real number and a positive integer , and let be a standard -dimensional Brownian motion defined on some complete filtered probability space , where is the completed -algebra filtration generated by and . We assume that if there is not a special illustration, all processes of this paper are defined on , all notions whose definitions are related to some filtration are understood with respect to the filtration , and all equalities and inequalities between random elements are understood to hold To avoid ambiguity we stress that writing we mean that
[TABLE]
while writing for each we mean that
[TABLE]
It is clear that they are equivalent if and are both continuous processes. In what follows, the variable in random elements is often omitted as usually done.
Denote , and for any real number . For a set , we denote by the complement of and by the indicator function of . Let represent the sign of a real number . For , the Euclidean norm of an element will be denoted by .
For , we define the following spaces:
- •
the set of all -measurable real-valued random variables satisfying
[TABLE]
- •
the set of all progressively measurable real-valued processes satisfying
[TABLE]
- •
the set of all processes satisfying
- •
the set of all progressively measurable and continuous real-valued processes;
- •
the set of all processes satisfying
- •
the set of all progressively measurable -valued processes satisfying
[TABLE]
- •
the set of all processes satisfying
- •
the set of all continuous real-valued local martingales;
- •
the set of all martingales satisfying ;
- •
the set of all progressively measurable and continuous real-valued processes of finite variation;
- •
the set of all increasing processes valued [math] at [math];
- •
the set of all processes satisfying ;
- •
the set of all processes satisfying .
Here and hereafter, for each and , denotes the random finite variation of on the interval , and is denoted simply by . Clearly, if , then .
2.2 Definitions
We now recall a definition used in Essaky and Hassani [14].
Definition 2.1**.**
For any two processes and in , we say that
- •
* if and only if there exists a progressively measurable set such that*
[TABLE]
- •
* if and only if for each progressively measurable set ,*
[TABLE]
In the rest of this paper, we always assume that is an -measurable random variable, , (or ) and (or ) with , and that a random function
[TABLE]
is progressively measurable for each , which is usually called a generator.
Definition 2.2**.**
By a solution to BSDE we understand a pair of progressively measurable processes belonging to such that ,
[TABLE]
By a solution to RBSDE we understand a triple of progressively measurable processes belonging to such that ,
[TABLE]
By a solution to BSDE we understand a triple of progressively measurable processes belonging to such that ,
[TABLE]
By a solution to DRBSDE we understand a quadruple of progressively measurable processes belonging to such that ,
[TABLE]
Remark 2.3**.**
It is not hard to verify the following assertions.
- (i)
The claim that is a solution of RBSDE is equivalent to the claim that is a solution of DRBSDE .
- (ii)
*The claim that is a solution of *BSDE is equivalent to the claim that is a solution of DRBSDE .
- (iii)
The claim that is a solution of BSDE is equivalent to anyone of the following three claims:
- –
* is a solution of RBSDE ;*
- –
* is a solution of *BSDE ;
- –
* is a solution of DRBSDE .*
- (iv)
*The claim that is a solution of RBSDE is equivalent to the claim that is a solution of *BSDE , where
[TABLE]
Definition 2.4**.**
A solution of BSDE is called the minimal (resp. maximal) one in some space if belongs to this space, and for any solution of BSDE in this space, we have
[TABLE]
Similarly, we can define that
- •
A solution of RBSDE is called the minimal (resp. maximal) one in some space if belongs to this space, and (2.5) holds for any solution of RBSDE in this space.
- •
*A solution of **BSDE is called the minimal (resp. maximal) one in some space if belongs to this space, and (2.5) holds for any solution of *BSDE in this space.
- •
A solution of DRBSDE is called the minimal (resp. maximal) one in some space if belongs to this space, and (2.5) holds for any solution of DRBSDE in this space.
2.3 Assumptions
In this paper, we will mainly use the following assumptions on the generator, the terminal condition and the barriers, where .
- (H1)
satisfies the one-sided Osgood condition in , i.e., there exists a nondecreasing concave function with , for and such that , ,
[TABLE] 2. (H2)
- (i)
is continuous in , i.e, , is continuous;
- (ii)
is uniformly continuous in , i.e., there exists a nondecreasing continuous function with such that , ,
[TABLE] 3. (H2’)
- (i)
is stronger continuous in , i.e., , is continuous, and is continuous uniformly with respect to ;
- (ii)
has a stronger linear growth in , i.e., there exist two constants and a nonnegative process such that , ,
[TABLE] 4. (H3)
- (i)
has a general growth in , i.e, ;
- (ii)
. 5. (H4)
- (i)
, , and ;
- (ii)
There exists an such that and for each .
Remark 2.5**.**
Without loss of generality, we will always assume that the functions and defined respectively in (H1) and (H2) are of linear growth, i.e., there exists a constant such that
[TABLE]
And, we note that assumption (H4) is usually called the generalized Mokobodzki condition for doubly reflected BSDEs, which relate the growth of and that of and
In order to illustrate our results more clearly, the following several assumptions will also be used.
- (H1s)
satisfies the monotonicity condition in , i.e., there exists a constant such that , ,
[TABLE] 2. (H2s)
- (i)
is continuous in , i.e, , is continuous;
- (ii)
satisfies the uniform Lipschitz condition in , i.e., there exists a constant such that , ,
[TABLE] 3. (H3s)
has a linear growth in , i.e., there exists a constant and a nonnegative process such that , , .
Remark 2.6**.**
It is clear that assumptions (H1s), (H2s) and (H3s) are respectively (strictly) stronger than (H1), (H2) and (H3). And, (ii) of (H2) implies (ii) of (H2’).
Moreover, the following several assumptions will be used in some technical results of this paper.
- (AA)
There exist two nonnegative constants and such that , ,
[TABLE]
where is a nonnegative process belonging to . 2. (HH)
- (i)
is continuous in , i.e, , is continuous;
- (ii)
has a general growth in , i.e., there exists a constant , a nonnegative process and a nonnegative function such that , ,
[TABLE]
here and hereafter, denotes the set of nonnegative functions satisfying the following two conditions:
- –
, the function is increasing and ;
- –
for each , . 3. (H4L)
- (i)
, and ;
- (ii)
There exists an such that and for each . 4. (H4U)
- (i)
, and ;
- (ii)
There exists an such that and for each .
Remark 2.7**.**
It is not hard to verify that, see also Remark 2.2 in Fan [16] for details,
- (i)
(H2)+(H3)* (HH); (H2’)+(H3) (HH); (H1)+(HH)(ii) (AA); (HH)(ii) (H3);*
- (ii)
(H4)* (H4L) + (H4U); (H4L)(ii) ; (H4U)(ii) ;*
- (iii)
* together with implies (H4L)(ii);*
- (iv)
* together with implies (H4U)(ii);*
- (v)
If (H3s) holds, then (H4L)(ii) and (H4U)(ii) .
2.4 Lemma and propositions
Let us first introduce the following lemma, which comes from Lemma 3.1 in Fan [16].
Lemma 2.8**.**
Let satisfy the following equation:
[TABLE]
Then, the following two assertions hold.
- (i)
There exists a constant depending only on such that for each and each stopping time valued in ,
[TABLE]
- (ii)
If for some , then there exists a constant depending only on such that for each and each stopping time valued in ,
[TABLE]
The following proposition is a direct corollary of Lemma 3.2 in Fan [16].
Proposition 2.9**.**
Assume that , , and the generator satisfies assumption (AA). Let be a solution of BSDE . Then, there exists a constant depending only on such that for each ,
[TABLE]
By Lemma 3.4 in Fan [16], we can verify the following a priori estimate.
Proposition 2.10**.**
Assume that , , , , and the generator satisfies assumptions (H1) with , (ii) of (H2’) with , and , and (ii) of (H3).
- (i)
Let be a solution of BSDE with , and the following assumption (B1) hold:
- (B1)
There exists an such that and for each .
Then, there exists a constant depending only on such that for each ,
[TABLE]
- (ii)
Let be a solution of BSDE with , and the following assumption (B2) hold:
- (B2)
There exists an such that and for each .
Then, there exists a constant depending only on such that for each ,
[TABLE]
Proof.
Since satisfies (H1) with and (H2’)(ii) with , and , it follows that ,
[TABLE]
Furthermore, if is a solution of BSDE with , and assumption (B1) holds, then it follows from (H1) and (H2’)(ii) that ,
[TABLE]
With the above two inequalities in hand and in view of the fact of and , the desired estimate (2.7) follows immediately from Lemma 3.4 in Fan [16]. Finally, in view of (iv) in Remark 2.3, we know that (ii) of Proposition 2.10 is also true. ∎
Now, let us recall several important results on reflected BSDEs with one continuous barrier and non-reflected BSDEs obtained in Fan [16], by using (iv) in Remark 2.3 for the case of BSDEs, see Theorem 4.4, Corollary 4.5, Remark 4.6, Theorem 5.2, Corollary 5.4, Theorem 5.8, Corollary 5.9, Remark 5.10, Theorem 5.11, Theorem 5.13, Remark 5.14 and Proposition 5.15 in Fan [16] for more details.
Proposition 2.11**.**
Assume that , , and the generator satisfies assumptions (H1), (H2) and (H3). We have the following assertions.
- (i)
BSDE admits a unique solution in .
- (ii)
Assume further that (H4L) holds for , and Then, RBSDE admits a unique solution in .
- (iii)
*Assume further that (H4U) holds for , and Then, *BSDE admits a unique solution in .
Proposition 2.12**.**
Let and assume that for , with , with , and the generator satisfies assumptions (H1)-(H3). We have the following assertions.
- (i)
For , let be the unique solution of BSDE in . If
[TABLE]
then for each .
- (ii)
For , suppose that (H4L)(i) holds for and , and that is the unique solution of RBSDE in the space . If and (2.9) is satisfied, then
[TABLE]
Moreover, if and for each ,
[TABLE]
then .
- (iii)
*For , suppose that (H4U)(i) holds for and , and that is the unique solution of *BSDE in the space . If and (2.9) is satisfied, then (2.10) holds. Moreover, if and (2.11) holds, then .
Remark 2.13**.**
From the related proof in Fan [16], it can be observed that in order to obtain (2.10) in (ii) of Proposition 2.12 we do not need the condition that
[TABLE]
and in order to obtain (2.10) in (iii) of Proposition 2.12 we do not need the condition that
[TABLE]
This important observation will be used several times later.
Remark 2.14**.**
Proposition 2.11*, Proposition 2.12 and Remark 2.13 still hold if we replace (H2) with (H2’), (2.9) with (2.11), and the word “unique” with “maximal (minimal)” in their statements.*
3 Necessity of assumption (H4) (ii) and uniqueness of the solution
3.1 Necessity of the assumption
By the following theorem we show that under conditions of (H1), (H2) (ii) (resp. (H2’)(ii)), (H3)(ii) and (H4)(i), (H4)(ii) is necessary to ensure the existence of solutions for DRBSDEs.
Theorem 3.15** (Necessity of (H4)(ii)).**
Assume that , , the generator satisfies assumptions (H1), (H2)(ii) (resp. (H2’)(ii)) and (H3)(ii), and that assumption (H4)(i) holds for , and . If DRBSDE admits a solution in the space , then . That is to say, (H4)(ii) holds true.
Proof.
We only prove the case of (H2’)(ii). The case of (H2)(ii) can be proved in a same way. In fact, by assumptions of Theorem 3.15, it is easy to verify that satisfies (AA) with , and (see also the proof of Proposition 2.10), and is a solution of BSDE with . Then, it follows from Proposition 2.9 that
[TABLE]
Furthermore, by (H2’)(ii) together with Hölder’s inequality we deduce that
[TABLE]
Then, (H4)(ii) holds for . Theorem 3.15 is then proved. ∎
3.2 Comparison theorem
In this subsection, we first establish a general comparison theorem for the solutions of doubly RBSDEs, and then verify the uniqueness of the solution under assumptions (H1) and (H2)(ii).
Proposition 3.16** (Comparison Theorem for solutions of DRBSDEs).**
Let , , (H4)(i) hold for , and , and be a solution of DRBSDE in for . If , , , , and either
[TABLE]
or
[TABLE]
is satisfied, then for each .
Proof.
It follows from Itô-Tanaka’s formula that
[TABLE]
Since , , and , we know that for ,
[TABLE]
Similarly, since , , and , we know that for ,
[TABLE]
Thus, in view of and , by the previous three inequalities we obtain
[TABLE]
Now, in view of the assumptions of and , the rest proof runs as that in the proof of Theorem 4.4 in Fan [16]. The proof is complete. ∎
By Proposition 3.16, the following corollary follows immediately.
Corollary 3.17**.**
Let , , (H4)(i) hold for , and , and be a solution of DRBSDE in for . If , , , , or satisfies (H1) and (H2)(ii), and for each ,
[TABLE]
then for each .
Remark 3.18**.**
We note that in the proof of Proposition 3.16 the following two assumptions are not utilized:
[TABLE]
In addition, it follows from Remarks 2.3 and 2.7 that if the comparison of and is not taken into account, then Proposition 3.16 and Corollary 3.17 improve Proposition 2.12.
Theorem 3.19** (Uniqueness).**
Let , , (H4)(i) hold for , and , and the generator satisfy assumptions (H1) and (H2)(ii). Then DRBSDE admits at most one solution in , i.e, if both and are solutions of DRBSDE in , then , and .
Proof.
Firstly, it follows from Corollary 3.17 that for each . Furthermore, by Itô’s formula we know that , , and then for each . Finally, the conclusion of and follows from the Ham-Bananch Composition of Sign Measure. ∎
4 Existence of the solution: penalization method
In this section, we will prove the existence of solutions for DRBSDEs under assumptions (H1), (H2) (resp. (H2’)), (H3) and (H4) by showing the convergence of the sequence of solutions for the penalized RBSDEs with one continuous barrier and the penalized BSDEs.
4.1 Convergence of the sequence of solutions for the penalized RBSDEs
The following proposition is a general convergence result on the sequence of solutions of penalized RBSDEs with one continuous barrier under some elementary conditions.
Proposition 4.20** (Penalization method).**
Assume that , , (H4)(i) holds for and , and the generator satisfies (HH) with and .
- (i)
*For each , let be a solution of *BSDE in with , i.e.,
[TABLE]
If for each , for some and , and
[TABLE]
then there exists a quadruple which solves DRBSDE ,
[TABLE]
and there exists a subsequence of such that
[TABLE]
- (ii)
*For each , let be a solution of *BSDE in with , i.e.,
[TABLE]
If for each , for some and , and (4.2) holds, then there exists a quadruple which solves DRBSDE ,
[TABLE]
and there exists a subsequence of such that
[TABLE]
Proof.
We only prove the claim (i). The claim (ii) can be proved in the same way. Now, we assume that , , (i) of (H4) holds for and , the generator satisfies (HH) with and , and all the assumptions in (i) are satisfied.
Since increases in and is bounded above by , we know the existence of a progressively measurable real-valued process such that for each ,
[TABLE]
Since for each , we get the existence of a progressively measurable and increasing real-valued process with such that for each , and for each ,
[TABLE]
In the above inequality, first letting , and then taking the superume with respect to in , finally letting , we obtain that
[TABLE]
which means that . On the other hand, by Fatou’s lemma and (4.2) we deduce that
[TABLE]
So, . Then, in view of (4.4) and the fact that for each , Lebesgue’s dominated convergence theorem yields that
[TABLE]
For each integer , we introduce the following two stopping times:
[TABLE]
with the convention . Then we have, as , as for each ,
[TABLE]
and
[TABLE]
Furthermore, since satisfies assumption (HH) with and , and (4.3) holds, it follows from the definitions of and that , for each ,
[TABLE]
with ,
[TABLE]
The rest proof is divided into 6 steps, which will be detailed in Appendix.
Step 1. Based on (4.1)-(4.8), by using a weak convergence argument together with Lemma 4.4 of Klimsiak [37] and Lemma A.3 in Bayraktar and Yao [3], we show that is a càdlàg process.
Step 2. Making use of the conclusion of step 1 together with the definition of , (4.2) and Dini’s theorem, we show that for each and .
Step 3. By virtue of (ii) of Lemma 2.8, the definition of and with (4.6)-(4.8), Hölder’s inequality, the conclusion of step 2, (4.2), (4.3) and Lebesgue’s dominated convergence theorem, we show that the sequence converges to the process in as .
Step 4. By virtue of (i) of Lemma 2.8, Hölder’s inequality, (4.2) and the conclusion of step 3, we show that the sequence converges to a process in as .
Step 5. Making use of the continuity of , (4.2), (4.5)-(4.8), and the conclusions of steps 3 and 4, we show that there exists a subsequence of the sequence which converges almost surely to a process uniformly in as .
Step 6. Based on all the conclusions of steps 1-6, we finally show that is a solution of DRBSDE in the space . The proof is then completed. ∎
4.2 Uniform estimate on the solutions of the penalized equations
In this subsection, we establish the following uniform estimate on the solutions of the penalization equations for reflected BSDEs with one continuous barrier and non-reflected BSDEs.
Proposition 4.21**.**
Assume that , , the generator satisfies assumptions (H1), (H2) and (H3), and assumption (H4) holds for and .
- (i)
*For each , let be the unique solution of *BSDE in with , i.e.,
[TABLE]
(Recall (ii) of Remark 2.7 and (iii) of Proposition 2.11). Then, increases in and is bounded above by a process , , and there exists a random variable such that for each and ,
[TABLE]
- (ii)
*For each , let be the unique solution of *BSDE in with , i.e.,
[TABLE]
(Recall (ii) of Remark 2.7 and (ii) of Proposition 2.11). Then, decreases in and is bounded below by a process , , and there exists a random variable such that for each and ,
[TABLE]
- (iii)
For each , let be the unique solution of BSDE in the space with (Recall (i) of Proposition 2.11), i.e.,
[TABLE]
Then, for each and , , and . And, there exists a random variable such that for each and ,
[TABLE]
Proof.
Let , , the generator satisfy assumptions (H1) with , (H2) with , and (H3) with , and assumption (H4) hold for and .
By representation property of Brownian filtration, we can let be the unique pair of processes in the space such that
[TABLE]
It follows from (ii) of (H2) that ,
[TABLE]
from which together with (H4) we know that , and then
[TABLE]
and
[TABLE]
where and with . Thus, the equation (4.15) can be rewritten as
[TABLE]
On the other hand, by (i) of Proposition 2.11, let be the unique solution in of the BSDE
[TABLE]
and be the unique solution in of the following BSDE
[TABLE]
It follows from (i) of Remark 2.7 that satisfies assumption (AA). Then, Proposition 2.9 yields that and , which together with (H2) leads to
[TABLE]
and
[TABLE]
In what follows, for each , by (i) of Proposition 2.11, let and be respectively the unique solution in the space of the following BSDEs:
[TABLE]
and
[TABLE]
with
[TABLE]
Note that . We have, with and ,
[TABLE]
and
[TABLE]
It then follows from (ii) of (H4) and (i) of Proposition 2.12 that for each ,
[TABLE]
and
[TABLE]
which means that for each , (B1) in Proposition 2.10 holds for , the generator and , and (B2) in Proposition 2.10 holds for , the generator and . Thus, in view of the fact that satisfies (H1), (H2’) with , and , and (H3), by Proposition 2.10 together with (4.18) and (4.19) we obtain that there exists a constant depending only on such that for each ,
[TABLE]
and
[TABLE]
In the sequel, we will prove (i)-(iii) respectively.
(i) For each , let be the unique solution of BSDE in the space with , i.e., (4.9).
Firstly, since by (4.19), it follows from (iii) and (i) of Proposition 2.12 that for each ,
[TABLE]
Then, in view of (4.18), by (iii) of Proposition 2.12 with Remark 2.13 we deduce that for each ,
[TABLE]
which means that for each ,
[TABLE]
Furthermore, it follows from (4.17) and (4.23) that for each , (B2) in Proposition 2.10 holds for , the generator and . Thus, in view of the fact that satisfies (H1), (H2’) with , and , and (H3), by (ii) of Proposition 2.10 we know that for each and ,
[TABLE]
It then follows from (4.22)– (4.25) and (4.20) that (4.10) holds with
[TABLE]
for some constant depending only on .
(ii) For each , let be the unique solution of BSDE in the space with , i.e., (4.11).
Firstly, since by (4.18), it follows from (i) and (ii) of Proposition 2.12 that for each ,
[TABLE]
Then, in view of (4.19), by (ii) of Proposition 2.12 with Remark 2.13 we deduce that for each ,
[TABLE]
which means that for each ,
[TABLE]
Furthermore, it follows from (4.16) and (4.27) that for each , (B1) in Proposition 2.10 holds for , the generator and . Thus, in view of the fact that satisfies (H1), (H2’) with , and , and (H3), by (i) of Proposition 2.10 we know that for each and ,
[TABLE]
It then follows from (4.26)– (4.29) and (4.21) that (4.12) holds with
[TABLE]
for some constant depending only on .
(iii) For each , let be the unique solution of BSDE in the space with , i.e., (4.13).
It follows from (4.11) and (4.9) that, with and ,
[TABLE]
and
[TABLE]
Then, (i) of Proposition 2.12 together with (4.23) and (4.27) yields that for each ,
[TABLE]
which means that for each , in view of (4.24) and (4.28),
[TABLE]
and
[TABLE]
Furthermore, note that satisfies assumption (AA) with , and by (i) of Remark 2.7. It follows from Proposition 2.9 that there exists a constant depending only on such that for each and ,
[TABLE]
Finally, in view of (4.30)– (4.33) and (4.20)–(4.21), we can deduce that (4.14) holds with
[TABLE]
for some constant depending only on . The proof of Proposition 4.21 is then complete. ∎
Remark 4.22**.**
In view of Remark 2.14, all conclusions of Proposition 4.21 still hold if we replace (H2) with (H2’), and the expression “the unique solution” with “the maximal (minimal) solution” in its statement. Furthermore, (4.10), (4.12) and (4.14) still hold if we replace (H2) with (H2’), and the expression “the unique solution” with “any solution” in its statement. In fact, in this case, it is enough to let and be respectively the minimal solution of the corresponding equation instead of the unique solution, and let and be respectively the maximal solution of the corresponding equation instead of the unique solution in the procedure of proof of Proposition 4.21, with omitting the comparisons between the processes indexed with and .
4.3 Existence and uniqueness
We are now at a position to state and prove a general existence and unique result on the solutions of doubly RBSDEs, which, in view of Remarks 2.3 and 2.7, strengthens Proposition 2.11.
Theorem 4.23**.**
Assume that , , the generator satisfies assumptions (H1), (H2) and (H3), and assumption (H4) holds for and Then, DRBSDE admits a unique solution in . Moreover, we have the following assertions.
- (i)
*For each , let be the unique solution of *BSDE in with , i.e., (4.9). Then,
[TABLE]
- (ii)
*For each , let be the unique solution of *BSDE in with , i.e., (4.11). Then,
[TABLE]
- (iii)
For each , let be the unique solution of BSDE in the space with , i.e., (4.13). Then,
[TABLE]
Proof.
The uniqueness part follows from Theorem 3.19. With regard to (i), combining Propositions 4.21 and 4.20, in view of (i) in Remark 2.7, we can deduce that there exists a quadruple which solves DRBSDE ,
[TABLE]
and there exists a subsequence of such that
[TABLE]
Furthermore, using a similar argument to that in the proof of Theorem 5.8 of Fan [16], we obtain that
[TABLE]
Then, (4.34) follows from (4.37) and (4.38). And, (4.35) can be proved in a same way.
In the sequel, we prove (iii). Firstly, it follows from Proposition 4.21 that for each and , , and . Then, (4.34) and (4.35) yield that
[TABLE]
Now, we show the convergence of the sequence in . Indeed, for each , observe that
[TABLE]
solves equation (2.6). It follows from (i) of Lemma 2.8 with and that there exists a constant such that for each ,
[TABLE]
It then follows from the definitions of and as well as the fact of together with Hölder’s inequality that
[TABLE]
Thus, in view of (4.40), (4.39), (4.14) together with Proposition 2.9, it follows that
[TABLE]
Furthermore, in view of (4.39) and (4.41), by a similar argument to (4.38) we deduce that
[TABLE]
Finally, (4.36) follows from (4.39), (4.41) and (4.42). Theorem 4.23 is then proved. ∎
By Theorem 4.23 we can prove the following corollary, which together with Proposition 3.16, in view of Remarks 2.3 and 2.7, strengthens Proposition 2.12.
Corollary 4.24**.**
Let , and both and satisfy assumptions (H1), (H2) and (H3). For , assume that (H4) holds for , , and associated with , and that is the unique solution of DRBSDE in . If , , , and
[TABLE]
for each , then and .
Proof.
For each and , let be the unique solution of BSDE with . In view of assumptions of Corollary 4.24, it follows from (iii) of Proposition 2.12 that for each , and , and then for each progressively measurable set and each , we have
[TABLE]
and
[TABLE]
Since
[TABLE]
and
[TABLE]
as by (i) of Theorem 4.23, it follows that
[TABLE]
which is the desired result. ∎
At the end of this subsection, we put forward and prove a general existence result of the solutions for DRBSDEs under assumptions (H1), (H2’), (H3) and (H4).
Theorem 4.25**.**
Assume that , , the generator satisfies assumptions (H1), (H2’) and (H3), and assumption (H4) holds for and
- (i)
*For each , let be the minimal (resp.maximal) solution of *BSDE in with , i.e., (4.9), recalling Proposition 4.21 and Remark 4.22. Then, DRBSDE admits a minimal solution (resp. a solution) in the space such that
[TABLE]
and there exists a subsequence of such that
[TABLE]
- (ii)
*For each , let be the maximal (resp. minimal) solution of *BSDE in with , i.e., (4.11), recalling Proposition 4.21 and Remark 4.22. Then, DRBSDE admits a maximal solution (resp. a solution) in the space such that
[TABLE]
and there exists a subsequence of such that
[TABLE]
Proof.
We only prove (i), and (ii) can be proved in the same way.
In view of Remarks 2.14 and 2.7, using Propositions 4.20-4.21 and Remark 4.22, we can prove that all the conclusions in (i) of Theorem 4.25 hold expect the minimal property of the solution of DRBSDE in when is the minimal solution of BSDE in for each . Now, we show this property.
Indeed, for any solution of DRBSDE in , it is not difficult to check that is a solution of BSDE in with for each . Thus, in view of the assumption that is the minimal solution of BSDE in for each , using (iii) of Proposition 2.12 together with Remark 2.14 yields that for each ,
[TABLE]
Furthermore, since , we have
[TABLE]
which is the desired result. ∎
4.4 Examples and remarks
We first introduce several examples which Theorems 4.23 and 4.25 can be applied to. However, to the best of our knowledge, all of their conclusions can not be obtained by any existing results. In these examples, we always assume that , , and (H4) holds for and
Example 4.26**.**
Let the generator
[TABLE]
Clearly, this satisfies assumptions (H1s) with , (H2) with , and (H3), but does not satisfy assumption (H2s). Then, in view of Remark 2.6, it then follows from Theorem 4.23 that DRBSDE admits a unique solution in .
Example 4.27**.**
Let the generator
[TABLE]
where, with small enough,
[TABLE]
It is not very hard to verify that this satisfies assumptions (H1) with , (H2) with , and (H3), but does not satisfy assumptions (H1s) and (H2s). It then follows from Theorem 4.23 that DRBSDE admits a unique solution in .
Example 4.28**.**
Let the generator
[TABLE]
It is not hard to check that this satisfies assumptions (H1s) with , (H2’) with , and , and (H3), but does not satisfy (H2) (ii). Then, in view of Remark 2.6, it follows from Theorem 4.25 that DRBSDE admits a minimal and a maximal solutions in .
Remark 4.29**.**
With respect to this section, we would like to mention the following things.
Compared with that in Proposition 4.1 of Fan [16], the assumption (4.2) in our Proposition 4.20 is weaker and more natural, although some ideas of the proof are borrowed from there. And, in view of Remark 2.3, Proposition 4.20 includes Proposition 4.1 in Fan [16] as its particular case.
- 2)
Theorem 4.23* strengthens (v) of Theorem 6.5 in Klimsiak [38], where the generator needs to satisfy stronger assumptions (H1s) and (H2s) than assumptions (H1) and (H2) in Theorem 4.23. And, in view of Remark 2.3, Theorems 4.23 and 4.25 include respectively Theorems 5.8 and 5.11 in Fan [16] as its particular case.*
- 3)
Proposition 4.21* is a key and difficult step to verify Theorems 4.23 and 4.25. In order to prove the conclusions of Proposition 4.21 under general assumptions (H1)-(H4), several auxiliary BSDEs need to be introduced, Propositions 2.9-2.12 need to be comprehensively and repeatedly applied, and Remarks 2.13 and 2.7 need to be always kept in mind.*
- 4)
In (iii) of Theorem 4.23, it is not clear whether the sequences of processes and converge respectively to and as tends to infinity.
- 5)
*Under the assumptions of Theorem 4.25, we do not know whether the minimal (resp. maximal) solution of DRBSDE in can be approximated by a sequence of solutions of **BSDEs with lower barrier (resp. *BSDEs with upper barrier ). In particular, under the same assumptions we also do not know whether a solution of DRBSDE in can be approximated by a sequence of solutions of BSDEs.
5 Existence of the minimal (maximal) solution: approximation method
In this section, we will establish a general approximation result for the solutions of DRBSDEs under some elementary conditions, and study existence of the solution of DRBSDEs where the generator may be discontinuous and have a general growth in .
5.1 Convergence of the sequence of solutions for the approximation DRBSDEs
The following proposition is a general approximation result for the solutions of DRBSDEs under some elementary conditions.
Proposition 5.30** (Approximation method).**
Let , and (H4)(i) hold for , and . Assume that for each , the generator satisfies (ii) of (HH) with the same and , and is a solution of DRBSDE in . If , and for each and a process , tends locally uniformly in to the generator as in the following sense:
[TABLE]
and
[TABLE]
then there exists a quadruple which verifies DRBSDE such that
[TABLE]
Proof.
Since increases in and is bounded above by a process , there exists a progressively measurable real-valued process such that for each ,
[TABLE]
Furthermore, since and for each , a same analysis as that in proving (4.5) yields that there exist two processes and in such that
[TABLE]
For each positive integer , as in the proof of Proposition 4.20, we introduce the following two stopping times:
[TABLE]
Then we have
[TABLE]
Furthermore, since all satisfy (HH) with the same and , and (5.3) holds, in view of the definitions of and , we know that , for each ,
[TABLE]
with
[TABLE]
The rest proof is divided into 3 steps, which will be detailed in Appendix.
Step 1. Based on (5.2)-(5.7), making use of (ii) of Lemma 2.8, Hölder’s inequality and Lebesgue’s dominated convergence theorem, we show that converges to the process in as .
Step 2. By virtue of (i) of Lemma 2.8, (5.2) and the conclusion of step 1, we show that converges to a process in as .
Step 3. Making use of (5.1)- (5.7) and conclusions of steps 1 and 2, we show that is a solution of DRBSDE in . Proposition 5.30 is then proved. ∎
Remark 5.31**.**
We remark that the conclusion of Proposition 5.30 still holds if we replace the expression that , and for each and a process with , and for each and a process , and replace the expression that in (5.1) with .
5.2 Existence of the minimal (maximal) solution
We now consider the DRBSDEs where the generator may be discontinuous and have a general growth in . Let us first introduce the following assumptions introduced by Fan and Jiang [19]:
- (A1a)
is left-continuous and lower semi-continuous in , and continuous in , i.e., , for each , we have
[TABLE]
and
[TABLE] 2. (A1b)
is right-continuous and upper semi-continuous in , and continuous in , i.e., , for each , we have
[TABLE]
and
[TABLE] 3. (A2)
has a linear growth in , i.e., there exist two constants and a process such that , for each ,
[TABLE]
Remark 5.32**.**
It is clear that (HH)(i) (A1a) (A1b), and that (A2) (H2’)(ii) (H3s).
Theorem 5.33**.**
Assume that , , satisfies assumptions (H1), (H2’) and (H3), satisfies assumptions (A1a) (resp. (A1b)) and (A2), and that . Assume further that assumption (H4) holds for , , , and (or ). Then, DRBSDE admits a minimal (resp. maximal) solution in the space .
Proof.
We only prove the case of the minimal solution. Another case can be proved in a similar way in view of Remark 5.31. Assume now that , , satisfies (H1) with , (H2’) with , and , and (H3) with , satisfies (A1a) and (A2) with , and , and that . Assume further that (H4) holds for , , , and .
In view of the assumptions of and together with the proof of Theorem 1 in Fan and Jiang [19], it is not very difficult to verify that for each and , the following function
[TABLE]
with
[TABLE]
and
[TABLE]
is well defined and progressively measurable, , increases in and converges locally uniformly in to the generator as in the sense of (5.1), all satisfy (H1) with the same , (H2s) with , (H3) with the same , and , , ,
[TABLE]
and all satisfy (H1) with , (H2s) with , and , , ,
[TABLE]
Then, in view of (5.8), (5.9) and (H3) for , we know that , , ,
[TABLE]
That is to say, all satisfy (HH) with the same parameters.
Note that for each , satisfies (H1), (H2) and (H3) by Remark 2.6 and Remark 5.32 together with (5.9). Furthermore, by (5.10) we know that for each , and then (H4) holds for , , , and . It then follows from Theorem 4.23 that there exists a unique solution of DRBSDE in the space for each . And, noticing that increases in , by Corollary 3.17 and Corollary 4.24 we can deduce that , and for each .
In the sequel, we show that inequality (5.2) appearing in Proposition 5.30 holds. In fact, let
[TABLE]
and
[TABLE]
It then follows from (5.8) and (5.9) that for each , and both and satisfy assumptions (H1), (H2s) and (H3) with
[TABLE]
and
[TABLE]
Thus, it follows from Theorem 4.23 that DRBSDE and DRBSDE admit respectively a unique solution and in the space , and by Corollary 3.17 and Corollary 4.24, we have that for each and ,
[TABLE]
Furthermore, note that for each , satisfies assumption (AA) with the same , and since satisfies assumption (H1) with the same , and inequalities (5.8) and (5.9) hold. It follows from Proposition 2.9 that there exists a positive constant depending only on such that for each and ,
[TABLE]
Finally, combining (5.11) and (5.12) yields that (5.2) in Proposition 5.30 holds.
Up to now, we have checked all conditions in Proposition 5.30. It then follows from Proposition 5.30 that DRBSDE admits a solution in such that
[TABLE]
Finally, let us show that is just the minimal solution of RBSDE in the space . In fact, if is also a solution of DRBSDE in the space , then noticing that for each , and satisfies (H1) and (H2), it follows from Corollary 3.17 that for each and , . Thus, by (5.13) we obtain that for each , which is the desired result. Theorem 5.33 is then proved. ∎
By Corollary 3.17, Corollary 4.24 and the proof of Theorem 5.33, it is not hard to verify the following comparison theorem for the minimal (resp. maximal) solutions of DRBSDEs.
Proposition 5.34**.**
Let and for , assume that , satisfies (H1), (H2’) and (H3), satisfies (A1a) (resp. (A1b)) and (A2), and that . Assume further that for , (H4) holds for , , , and associated with (or ), and is the minimal (resp. maximal) solution of DRBSDE in the space . If , , , , and for each ,
[TABLE]
then , . Furthermore, if and , then and .
5.3 Examples and remarks
We introduce two examples which Theorem 5.33 can be applied to, but any existing results can not be applied to.
Example 5.35**.**
Let the generator with
[TABLE]
and
[TABLE]
where, with small enough,
[TABLE]
It is not very hard to verify that satisfies (H1) with , (H2’) with , and , and (H3), and that satisfies (A1a) and (A2) with , and for each . Thus, if (H4) holds for and some , , , and , and , then by Theorem 5.33 we know that DRBSDE admits a minimal solution in .
Example 5.36**.**
Let the generator
[TABLE]
It is easy to check that this satisfies (A1b) and (A2) with , and for each . Thus, if (H4) holds for and some , , , and , and , it then follows from Theorem 5.33 that DRBSDE admits a maximal solution in .
Remark 5.37**.**
With respect to this section, we would like to mention the following things.
Compared with that in Proposition 4.2 of Fan [16], the assumptions (5.1) and (5.2) in Proposition 5.30 is weaker and more natural, although some ideas of the proof are borrowed from there. And, in view of Remark 2.3, Proposition 5.30 together with Remark 5.31 includes Proposition 4.2 in Fan [16] as its particular case.
- 2)
In view of Remark 2.3, Theorem 5.33 and Proposition 5.34 include respectively Theorem 5.13 and Proposition 5.15 in Fan [16]* as its special case . In particular, Theorem 5.33 and Proposition 5.34 also consider the case that the generator may be discontinuous in .*
- 3)
It follows from Remarks 2.3, 2.6, 2.7 and 5.32 that since the associated assumptions are more general, Theorem 5.33 and Proposition 5.34 strengthen and unify some existing corresponding results on DRBSDEs, RBSDEs with one continuous barrier, and non-reflected BSDEs obtained, for example, in Briand et al. [6], El Asri et al. [9], Fan [16], Fan and Jiang [19], Hamadène et al. [26], Hamadène and Popier [28], Klimsiak [37], Ma et al. [44] and Rozkosz and Słomiński [55]**.
Appendix A
In this section, we will supply the details omitted in the proof procedures of Proposition 4.20 and Proposition 5.30.
Complementary of the details for the proof of Proposition 4.20. Now, we will detail the proof of steps 1-7 after the inequality (4.8).
Step 1. We show that is a càdlàg process. Let us fix a pair of arbitrarily. From (4.7) and (4.8) together with (4.2), it follows that there exists a subsequence of the sequence which converges weakly to a process in the space . Now, take any bounded linear functional defined on . Then there exists a constant such that for each and each stopping time taking values in , we have
[TABLE]
Hence, for each stopping time taking values in , is a bounded linear functional defined on , which means that
[TABLE]
As a result, for every stopping time with , as ,
[TABLE]
Furthermore, it follows from (4.2) and Lemma 4.4 of Klimsiak [37] that there exists a process together with a subsequence of the sequence , still denoted by itself, such that for any stopping time taking values in , as ,
[TABLE]
In the sequel, we define
[TABLE]
Then, in view of (4.1), (4.5), (1.14), (1.15) and the fact that for each stopping time taking values in , in , we can deduce that for every stopping time with , the sequence
[TABLE]
converges weakly to in as . Thus, since for each , we have
[TABLE]
for any stopping times valued in . Furthermore, in view of the definition of as well as the facts that , , and for each , it is not very hard to verify that is a optional process with upper semi-continuous paths. Thus, by Lemma A.3 in Bayraktar and Yao [3] we know that is nondecreasing, and should have right lower semi-continuous paths. Hence, is càdlàg and so is from the definition of . Finally, it follows from (4.6) that is also a càdlàg process.
Step 2. We show that for each and as ,
[TABLE]
In fact, it follows from (4.2) and the definition of that for each ,
[TABLE]
Hence, by Fatou’s lemma and Hölder’s inequality, we have
[TABLE]
which implies that
[TABLE]
Since is a càdlàg process, we get that and hence for each . Moreover, note that . Hence
[TABLE]
for each , and (1.16) follows by Dini’s theorem.
Step 3. We show the convergence of the sequence in . Let and be the sequences of stopping times defined in Step 1. For each , observe from (4.1) that
[TABLE]
solves equation (2.6). It then follows from (ii) of Lemma 2.8 with , and that there exists a constant such that for each ,
[TABLE]
Furthermore, in view of the definition of and with (4.1), we deduce that for each ,
[TABLE]
and
[TABLE]
Combining (4.7), (1.18), (1.19), (1.20) and Hölder’s inequality leads to that for each ,
[TABLE]
[TABLE]
Thus, in view of the definitions of and , (4.3), (4.2), (4.8) and (1.16), by (1.21) and Lebesgue’s dominated convergence theorem we can deduce that for each , as ,
[TABLE]
which implies that for each , as ,
[TABLE]
And, by (4.3) and (4.6) we get that
[TABLE]
So, is a continuous process. Finally, in view of (4.3) and (1.22), Lebesgue’s dominated convergence theorem yields that
[TABLE]
Step 4. We show the convergence of the sequence in . Note that (1.17) verifies (2.6). It follows from (i) of Lemma 2.8 with and that there exists a positive constant such that for each ,
[TABLE]
Then, it follows from Hölder’s inequality and (1.20) that for each ,
[TABLE]
[TABLE]
from which together with (4.2), (1.23) and (1.15) leads to the existence of a process such that
[TABLE]
Step 5. We show the desired convergence of the sequence . Let and be the sequences of stopping times defined in Step 1. Since satisfies (HH), by (4.7), (4.8), (4.2), (1.22) and (1.24) we can deduce the existence of a subsequence of such that for each ,
[TABLE]
Then, in view of (4.6), we have
[TABLE]
Combining (4.5), (1.22), (1.24) and (1.25) leads to that , for each ,
[TABLE]
tends to
[TABLE]
as and that
[TABLE]
Hence, is a continuous process. Furthermore, by Fatou’s lemma with (1.26) and (4.2) we get that
[TABLE]
Thus, .
Step 6. We show that is a desired solution of DRBSDE in the space . In fact, note that solves
[TABLE]
It follows from Step 2 that for each , and then
[TABLE]
And, in view of (1.22) and (1.26), it follows from the definition of that
[TABLE]
Consequently,
[TABLE]
Furthermore, in view of the fact that and for each , from (1.23) and (4.5) we derive that for each , and
[TABLE]
Finally, let us verify that . In fact, for each , we define the following progressively measurable set
[TABLE]
It then follows from the definition of that for each ,
[TABLE]
and, in view of ,
[TABLE]
Thus, noticing that for each due to , by (1.26) and (4.5) we have
[TABLE]
and
[TABLE]
Hence, . The proof of Proposition 4.20 is then complete.
Complementary of the details for the proof of Proposition 5.30. Now, we will detail the proof of steps 1-3 after the inequality (5.7).
Step 1. We show the convergence of the sequence in . For each , observe that
[TABLE]
solves equation (2.6). It then follows from (ii) of Lemma 2.8 with , and that there exists a constant such that for each ,
[TABLE]
[TABLE]
Furthermore, in view of the facts that for each and , and for each , we have that for each and ,
[TABLE]
and
[TABLE]
Combining (5.6), (1.28), (1.29) and (1.30) together with Hölder’s inequality leads to that
[TABLE]
Thus, in view of the definitions of and , (5.3), (5.2) and (5.7), it follows from (1.31) and Lebesgue’s dominated convergence theorem that for each , as ,
[TABLE]
which implies that for each , as ,
[TABLE]
And, in view of (5.5) and (5.3), we have
[TABLE]
So, is a continuous process. Finally, in view of (1.32) and (5.3), Lebesgue’s dominated convergence theorem yields that
[TABLE]
Step 2. We show the convergence of the sequence in . Note that (1.27) verifies (2.6). It follows from (i) of Lemma 2.8 with and that there exists a positive constant such that for each ,
[TABLE]
Then, in view of (1.29) and (1.30), it follows from Hölder’s inequality that for each ,
[TABLE]
from which together with (1.33) and (5.2) yields the existence of a process such that
[TABLE]
Step 3. We show that is a solution of DRBSDE in the space . By (5.1)-(5.3), (1.34) and (5.6)-(5.7) we derive the existence of a subsequence of such that for each ,
[TABLE]
Then, in view of (5.5), we have
[TABLE]
Combining (5.4), (1.32), (1.34) and (1.35) leads to that
[TABLE]
Since and for each , we know that for each . Furthermore, in view of (1.33) and (5.4), we have
[TABLE]
and
[TABLE]
Finally, let us show that . In fact, for each , since , we know that there exists a progressively measurable set such that
[TABLE]
Then, in view of (5.4) and the fact that for each , we have
[TABLE]
and
[TABLE]
Hence, . The proof of Proposition 5.30 is then complete.
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