Abstract
In this paper, we investigate backward stochastic differential equations driven by G-Brownian motion with uniformly continuous coefficients in (y, z). The existence and uniqueness of solutions are obtained via a method of Picard iteration, a linearization method and a monotone convergence argument. Furthermore, we establish the corresponding comparison theorem and related nonlinear Feynman–Kac formula.
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Appendix: Comparison Theorem for PDE (4.7)
Appendix: Comparison Theorem for PDE (4.7)
Theorem A.1
Suppose assumptions (A1)–(A3) hold. Let \(u^1\) be a viscosity subsolution and \(u^2\) be a viscosity supersolution to PDE (4.7) satisfying the polynomial growth condition, respectively. Then, \(u^1\le u^2\) on \([0, T]\times \mathbb {R}^{n}\) provided that \(u^1|_{t=T}\le u^2|_{t=T}\).
By doing the transformation \(v(t,x):=u(T-t,x)\), we know that if we want to get the comparison theorem A.1 for PDE (4.7), we only need to prove the following comparison theorem A.2 for PDE
where F is defined by (4.8). For the definition of the viscosity solution to PDE (A.1), see Definition 1.1 in Appendix C of [13].
Theorem A.2
Suppose assumptions (A1)–(A3) hold. Let \(v^1\) be a viscosity subsolution and \(v^2\) be a viscosity supersolution to PDE (A.1) satisfying the polynomial growth condition, respectively. Then, \(v^1\le v^2\) on \([0, T]\times \mathbb {R}^{n}\) provided that \(v^1|_{t=0}\le v^2|_{t=0}\).
Proof
The main idea comes from Theorem 2.2 in Appendix C of [13]. For reader’s convenience, we give a brief proof.
step1.
For a large constant \(\lambda >0 \) to be chosen in step 2, we set \(\eta (x):=(1+|x|^{2})^{l/2}\) and
where \(l\ge 2\) is chosen to be large enough such that \(|v_{1}|+|v_{2}|\rightarrow 0\) uniformly as \(|x|\rightarrow \infty \). It is easy to verify that, for \(i=1,2\), \(v_{i}\) is a bounded viscosity subsolution of
where the function \(F^*_1(t,x,v,p,X)=F^*(t,x,v,p,X), F^*_2(t,x,v,p,X)=-F^*(t,x,-v,-p,-X)\) and
for any \((x,v,p,X)\in \mathbb {R}^n\times \mathbb {R}\times \mathbb {R}^n\times \mathbb {S}_{n}\). Here, \(p\otimes D\eta (x)=(p^iD_{x_{j}}\eta )^{n}_{i,j=1}\) and
Obviously, for \(l\ge 2\), \(\eta ^{-1}(x)D\eta (x)\) and \(\eta ^{-1}(x)D^{2}\eta (x)\) are uniformly bounded functions.
Now, prove that \(v_{1}+v_{2}\le 0\). According to the proof of Theorem 2.2 in [13], it suffices to prove the conclusion under the additional assumptions: for each \(\bar{\delta }>0\),
Assume the contrary that
Notice that \(\left( v_1(t,x)+v_2(t,x)\right) ^+\rightarrow 0\) uniformly as \(|x|\rightarrow \infty \). Then, according to the proof of Theorem 2.2 in [13], for large enough \(\alpha >0\), there exists some point \((t^{\alpha },x_{1}^{\alpha },x_{2}^{\alpha })\) inside a compact subset of \([0,T)\times \mathbb {R}^{2n}\) such that \(v_{1}(t^{\alpha },x_{1}^{\alpha })+v_{2}(t^{\alpha },x_{2}^{\alpha })-\frac{\alpha }{2}|x_{1}^{\alpha }-x_{2}^{\alpha }|^2>0\) and
Then, there exist \(b_{i}^{\alpha }\in \mathbb {R}\), \(X_{i}^{\alpha }\in \mathbb {S}_{n}\) such that \(b_1^{\alpha }+b^{\alpha }_2=0\),
and
where \(p_{1}^{\alpha }=\alpha (x_{1}^{\alpha }-x_{2}^{\alpha }), p_{2}^{\alpha }=\alpha (x_{2}^{\alpha }-x_{1}^{\alpha }).\) Obviously, \(p_{1}^{\alpha }+p_{2}^{\alpha }=0\), \( \lim _{\alpha \rightarrow \infty }|p_{i}^{\alpha }||x_{1}^{\alpha }-x_{2}^{\alpha }|=0\) and
Moreover, it follows from Eq. (A.2) that
According to the definition of \(F^*_i\), we derive that
where
We claim that
and
whose proof will be given in step 2 and step 3, respectively. Then, we induce a contradiction. Consequently, we get that \(v^1\le v^2.\) The proof is complete.
step2. The proof of (A.4).
Note that \(|G(A)|\le \frac{1}{2}\bar{\sigma }^{2}\sqrt{d}|A|, \forall A\in \mathbb {S}_{d}.\) For large enough \(\alpha ,\) any \(v\ge \tilde{v}\), by the definition of \(F^*\), assumptions (A2), (A3) and Remark 4.1, we can get
where the constant C is only dependent on \(L,K,\bar{\sigma },d,T.\) Then, we have
By virtue of the boundness of the viscosity solution v and \(\tilde{v}\), we can choose \(\lambda \) large enough, so that the function
In view of \(-v_{2}(t^{\alpha },x_{2}^{\alpha })<v_{1}(t^{\alpha },x_{1}^{\alpha })\), (A.4) is proved.
step3. The proof of (A.5).
Note that \(G(A)\le \frac{1}{2}\overline{\sigma }^2\mathrm {tr}[A]\) for any \(A\ge 0\). By virtue of (A.3) and assumption (A2), we can get
Note that \(|G(A)|\le \frac{1}{2}\bar{\sigma }^{2}\sqrt{d}|A|, \forall A\in \mathbb {S}_{d}.\) According to the definition of \(F^*\), assumptions (A2), (A3) and Remark 4.1, we can obtain
where the constant C is only dependent on \(L,K,\bar{\sigma },d,T.\) Note that \( \lim _{\alpha \rightarrow \infty }|x_{1}^{\alpha }-x_{2}^{\alpha }|=0, \) \(\lim _{\alpha \rightarrow \infty }\) \(|v_{1}(t^\alpha ,x^\alpha )||x_{1}^{\alpha }-x_{2}^{\alpha }|=0,\) \(\lim _{\alpha \rightarrow \infty }|p_{1}^{\alpha }||x_{1}^{\alpha }-x_{2}^{\alpha }|=0, \lim _{\alpha \rightarrow \infty }\alpha |x_{1}^{\alpha }-x_{2}^{\alpha }|^{2}=0\) and \(\rho (\cdot )\) and \(\psi (\cdot )\) are continuous functions. Letting \(\alpha \rightarrow \infty \), we can get \(I_{2}^{\alpha }\ge 0.\) (A.5) is proved. \(\square \)
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Sun, S. Backward Stochastic Differential Equations Driven by G-Brownian Motion with Uniformly Continuous Coefficients in (y, z). J Theor Probab 35, 370–409 (2022). https://doi.org/10.1007/s10959-020-01057-2
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DOI: https://doi.org/10.1007/s10959-020-01057-2