Some Properties of NSFDEs

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1 Chenggui Yuan (Swansea University) Some Properties of NSFDEs 1 / 41 Some Properties of NSFDEs Chenggui Yuan Swansea University

2 Chenggui Yuan (Swansea University) Some Properties of NSFDEs 2 / 41 Outline Existence and Uniqueness Numerical Solutions Large Deviations

3 Chenggui Yuan (Swansea University) Some Properties of NSFDEs 3 / 41 Y. Ji, Q. Song, C. Yuan, Neutral stochastic differential delay equations with locally monotone coefficients, arxiv 2016 J. Bao, Y. Ji, C. Yuan, Convergence of EM scheme for neutral stochastic differential delay equations, arxiv 2016 J. Bao, C. Yuan, Large deviations for neutral functional SDEs with jumps, Stochastics 87 (2015)

4 Chenggui Yuan (Swansea University) Some Properties of NSFDEs 4 / 41 Existence and Uniqueness Let C = C([ τ, 0]; R n ) which is equipped with the uniform norm ζ := sup τ θ 0 ζ(θ) for ζ C. Let D : C R n, and f : C [0, T ] R n, g : C [0, T ] R n m all Borel measurable. Consider the n dimensional NSFDE d[x(t) D(X t )] = f(x t, t)dt + g(x t, t)dw (t) on 0 t T, (1) with initial data X 0 = ξ = {ξ(θ) : τ θ 0} L 2 F 0 ([ τ, 0] : R n ), is an F 0 measurable C valued random variable such that E ξ 2 <.

5 We have the following existence and uniqueness theorem. Theorem (Mao s book, Theorem ) For any T > 0 and any integer n 1, that there exist positive constants K T,n and K such that (i) for all t [0, T ] and ϕ, φ C with ϕ φ n, f(ϕ, t) f(φ, t) 2 g(ϕ, t) g(φ, t) 2 K n,t ϕ φ 2 ; (2) (ii) for all (ϕ, t) R n [0, T ] f(ϕ, t) 2 g(φ, t) 2 K(1 + ϕ 2 ). (3) Assume also there exists κ (0, 1) such that for all ϕ, φ C D(ϕ) D(φ) κ ϕ φ. (4) Then there exists a unique solution X(t) to equation (1). Chenggui Yuan (Swansea University) Some Properties of NSFDEs 5 / 41

6 Chenggui Yuan (Swansea University) Some Properties of NSFDEs 6 / 41 A special class of NSFDEs is neutral stochastic differential delay equations, that is d[x(t) G(X(t τ))] = b(x(t), X(t δ(t)), t)dt + σ(x(t), X(t δ(t)), t)dw (t) (5) on t [0, T ] with initial data ξ where G : R n R n, b : R n R n [0, T ] R n, σ : R n R n [0, T ] R n R m.

7 Theorem (Mao book Theorem 6.2.5) Assume that there exist positive constants K T,n and K such that (i) for all x, y, x, y R n with x y x y n and t [0, T ] b(x, y, t) b(x, y, t) 2 σ(x, y, t) σ(x, y, t) 2 K T,n ( x x 2 + y y 2 ); (iin) for all (ϕ, t) R n [0, T ] (6) b(x, y, t) 2 σ(x, y, t) 2 K(1 + x 2 + y 2 ). (7) Assume also there exists κ (0, 1) such that for all x, y R n G(x) G(y) κ x y. (8) Then there exists a unique solution X(t) to equation (5) with initial data ξ. Chenggui Yuan (Swansea University) Some Properties of NSFDEs 7 / 41

8 Chenggui Yuan (Swansea University) Some Properties of NSFDEs 8 / 41 Theorem (Ji, Song, Y.) Assume G, b and σ satisfy the following assumptions for all T, R [0, ): (C0) For every R > 0, T > 0 T 0 sup { b(x, y, t) + σ(x, y, t) 2 }dt <, (9) x R, y R (C1) The functions b(x, y, t), σ(x, y, t) are continuous in both x and y for all t [0, T ]. (C2) There exist two R + valued functions K 1 (t), K1 (t) and a positive constant C 1 (τ) such that for all t [0, T ], K 1 (t) C 1 (τ)k 1 (t τ), K 1 (t) K 1 (t) and 2 x G(y), b(x, y, t) + σ(x, y, t) 2 K 1 (t)(1 + x 2 ) + K 1 (t τ)(1 + y 2 ), for x, y R n, t [0, T ]. (10)

9 Chenggui Yuan (Swansea University) Some Properties of NSFDEs 9 / 41 Theorem (C3) There exist two R + valued functions K R (t), K R (t) and a positive constant C R (τ)such that for all t [0, T ], K R (t) C R (τ)k R (t τ), K R (t) K R (t) and 2 x G(y) x + G(y), b(x, y, t) b(x, y, t) + σ(x, y, t) σ(x, y, t) 2 K R (t) x x 2 + K R (t τ) y y 2 (11) for all x y x y R, t [0, T ]. (C4) Assume G(0) = 0 and that there is a constant κ (0, 1) such that holds for all x, y R n. G(x) G(y) κ x y,

10 Chenggui Yuan (Swansea University) Some Properties of NSFDEs 10 / 41 Theorem Moreover, we assume C 1 (τ) C R (τ) 1 κ and K 1(t), K 1 (t), K R (t), K R (t) L 1 ([ τ, T ]; R + ). Then there exists a unique process {X(t)} t [0,T ] that satisfies equation (5) with the initial data ξ. Moreover, the mean square of the solution is finite.

11 Chenggui Yuan (Swansea University) Some Properties of NSFDEs 11 / 41 Numerical Solutions We assume that there exist constants L > 0 and q 1 such that, for x, y, x, y R n, (A1) G(y) G(y) L(1 + y q + y q ) y y ; (A2) b(x, y) b(x, y) + σ(x, y) σ(x, y) L x x + L(1 + y q + y q ) y y, where stands for the Hilbert-Schmidt norm; (A3) ξ(t) ξ(s) L t s for any s, t [ τ, 0].

12 Chenggui Yuan (Swansea University) Some Properties of NSFDEs 12 / 41 Remark: There are some examples such that (A1) and (A2) hold. For instance, if G(y) = y 2, b(x, y) = σ(x, y) = ax + y 3 for any x, y R and some a R, Then both (A1) and (A2) hold by taking V (y, y) = y y2 for arbitrary y, y R. We can show that Eq.(5) has a unique solution {X(t)} under (A1) and (A2).

13 Chenggui Yuan (Swansea University) Some Properties of NSFDEs 13 / 41 We now introduce the EM scheme associated with (5). Without loss of generality, we assume that h = T/M = τ/m (0, 1) for some integers M, m > 1. For every integer k = m,, 0, set Y (k) h each integer k = 1,, M 1, we define Y (k+1) h where W (k) h G(Y (k+1 m) h ) = Y (k) h + σ(y (k) h G(Y (k m) h := W ((k + 1)h) W (kh). ) + b(y (k) h := ξ(kh), and for, Y (k m) h )h, Y (k m) h ) W (k) h, (12)

14 For any t [kh, (k+1)h), set Y (t) := Y (k). Define the continuous-time EM h approximation solution Y (t) as below: For any θ [ τ, 0], Y (θ) = ξ(θ), and Y (t) =G(Y (t τ)) + ξ(0) G(ξ( τ)) + + t 0 t σ(y (s), Y (s τ))dw (s), t [0, T ]. 0 b(y (s), Y (s τ))ds (13) Chenggui Yuan (Swansea University) Some Properties of NSFDEs 14 / 41

15 Chenggui Yuan (Swansea University) Some Properties of NSFDEs 15 / 41 The first main result in this paper is stated as below. Theorem Under the assumptions (A1)-(A3), one has ( ) E sup X(t) Y (t) p h p/2, p 2. (14) 0 t T

16 Chenggui Yuan (Swansea University) Some Properties of NSFDEs 16 / 41 We have the following lemma. Lemma Under (A1) and (A2), for any p 2 there exists a constant C T > 0 such that and ( E sup 0 t T X(t) p) ( E ( E where Γ(t) := Y (t) Y (t). sup 0 t T sup 0 t T Y (t) p) C T, (15) Γ(t) p) h p/2, (16)

17 Chenggui Yuan (Swansea University) Some Properties of NSFDEs 17 / 41 Proof of Theorem. We follow the Yamada-Watanabe approach to complete the proof of Theorem. For fixed κ > 1 and arbitrary ε (0, 1), there exists a continuous non-negative function ϕ κε ( ) with the support [ε/κ, ε] such that ε ε/κ ϕ κε (x)dx = 1 and ϕ κε (x) 2 x ln κ, x > 0. Set Let φ κε (x) := x y 0 0 ϕ κε (z)dzdy, x > 0. V κε (x) = φ κε ( x ), x R n. (17)

18 Chenggui Yuan (Swansea University) Some Properties of NSFDEs 18 / 41 By a straightforward calculation, it holds ( V κε )(x) = φ κε( x ) x 1 x, x R n and ( 2 V κε )(x) = φ κε( x )( x 2 I x x) x 3 + x 2 φ κε( x )x x, x R n, where and 2 stand for the gradient and Hessian operators, respectively, x x = xx with x being the transpose of x R n. Moreover, we have ( V κε )(x) 1 and ( ( 2 V κε )(x) 2n ) 1 ln κ x 1 [ε/κ,ε]( x ), (18)

19 Chenggui Yuan (Swansea University) Some Properties of NSFDEs 19 / 41 For notation simplicity, set Z(t) := X(t) Y (t) and Λ(t) := Z(t) G(X(t τ))+g(y (t τ)). (19) In the sequel, let t [0, T ] be arbitrary and fix p 2. Due to Λ(0) = 0 R n and V κε (0) = 0, an application of Itô s formula gives V κε (Λ(t)) = t 0 t 0 ( V κε )(Λ(s)), Γ 1 (s) ds trace{(γ 2 (s)) ( 2 V κε )(Λ(s))Γ 2 (s)}ds + t 0 (V κε )(Λ(s)), Γ 2 (s)dw =: I 1 (t) + I 2 (t) + I 3 (t), where Γ 1 (t) := b(x(t), X(t τ)) b(y (t), Y (t τ)) (20) and Γ 2 (t) := σ(x(t), X(t τ)) σ(y (t), Y (t τ)).

20 Set V (x, y) := 1 + x q + y q, x, y R n. (21) According to (15), for any q 2 there exists a constant C T > 0 such that ( E V (X(t τ), Y (t τ)) q) C T. (22) Noting that sup 0 t T X(t) Y (t) = Λ(t) + Γ(t) + G(X(t τ)) G(Y (t τ)), (23) and using Hölder s inequality and B-D-G s inequality, we get from (18) and (A1)- (A2) that ( Θ(t) : = E sup 0 s t t 0 t I 1 (s) p) ( + E sup 0 s t {E Γ 1 (s) p + E Γ 2 (s) p }ds I 3 (s) p) t τ E{ Λ(s) p + Γ(s) p }ds + + E(V (X(s), Y (s)) p X(s) Y (s) p )ds 0 τ (24) Chenggui Yuan (Swansea University) Some Properties of NSFDEs 20 / 41

21 In the light of (18)-(23), we derive from (A1) that ( E sup I 2 (s) p) E E E E 0 s t t 0 t 0 ( 2 V κε )(Λ(s)) p Γ 2 (s) 2p ds 1 Λ(s) p { X(s) Y (s) 2p + V (X(s τ), Y (s τ)) 2p ( X(s τ) Y (s τ) 2p )}I [ε/κ,ε] ( Λ(s) )ds t 0 1 Λ(s) p { Λ(s) 2p + Γ(s) 2p + G(X(s τ)) G(Y (s τ)) 2p + V (X(s τ), Y (s τ)) 2p ( X(s τ) Y (s τ) 2p )}I [ε/κ,ε] ( Λ(s) )ds t 0 { Λ(s) p + ε p Γ(s) 2p + ε p V 2p (X(s τ), Y (s τ))( X(s τ) Y (s τ) 2p )}ds t 0 {ε p h p + E Λ(s) p + ε p (E( Z(s τ) 4p )) 1/2 }ds, (25) Chenggui Yuan (Swansea University) Some Properties of NSFDEs 21 / 41

22 Chenggui Yuan (Swansea University) Some Properties of NSFDEs 22 / 41 Thus, we can have ( E sup Λ(s) p) ε p + h p/2 + ε p h p 0 s t (t τ) h p/2 + {(E( Z(s) 2p )) 1/2 + ε p (E( Z(s) 4p )) 1/2 }ds (t τ) 0 0 it follows from Hölder s inequality that ( E sup Z(t) p) ( E sup Λ(t) p) ( + E 0 t T ( E ( E sup 0 t T sup 0 t T Λ(t) p) ( + E {(E( Z(s) 2p )) 1/2 + ε p (E( Z(s) 4p )) 1/2 }ds, 0 t T Λ(t) p) + h p/2 + sup τ t T τ ( E ( sup τ t T τ (26) G(X(t)) G(Y (t)) p) ) (V (X(t), Y (t)) p X(t) Y (t) p ) sup 0 t (T τ) 0 Z(t) 2p)) 1/2. (27)

23 by taking ε = h 1/2. Chenggui Yuan (Swansea University) Some Properties of NSFDEs 23 / 41 Substituting (34) into (36) yields that ( E sup 0 t T Hence, we have and ( E Z(t) p) ( ( h p/2 + E + (T τ) 0 0 ( E sup 0 t τ ) sup Z(t) p h p/2 + 0 t 2τ + τ 0 h p/2 sup 0 t (T τ) 0 Z(t) 2p)) 1/2 {(E( Z(t) 2p )) 1/2 + ε p (E( Z(t) 4p )) 1/2 }dt. Z(t) p) h p/2, ( ( E sup 0 t τ Z(t) 2p)) 1/2 {(E( Z(t) 2p )) 1/2 + ε p (E( Z(t) 4p )) 1/2 }dt (28)

24 for arbitrary ξ, η C. Chenggui Yuan (Swansea University) Some Properties of NSFDEs 24 / 41 Large deviation principle (LDP) Consider a neutral FSDE d{x(t) G(X t )} = b(x t )dt + σ(x t )dw (t), t > 0 (29) with the initial data X 0 = ξ C. We assume (H1) There exists κ (0, 1) such that G(ξ) G(η) κ ξ η, ξ, η C. (H2) The mapping b satisfies a local Lipschitz condition and there exists λ > 0 such that (ξ(0) η(0)) (G(ξ) G(η)), b(ξ) b(η) σ(ξ) σ(η) 2 HS λ ξ η 2 and ξ(0) G(ξ), b(ξ) λ(1 + ξ 2 )

25 Let S be a Polish space (i.e., a separable completely metrizable topological space), and {Y ɛ } ɛ (0,1) a family of S-valued random variables defined on the probability space (Ω, F, P). Definition A function I : S [0, ] is called a rate function if it is lower semicontinuous. A rate function I is called a good rate function if the level set {f S : I(f) a} is compact for each a <. Chenggui Yuan (Swansea University) Some Properties of NSFDEs 25 / 41

26 Definition The sequence {Y ɛ } ɛ (0,1) is said to satisfy the LDP with rate function I if, for each A B(S) (Borel σ-algebra generated by all open sets in S), inf I(f) lim inf f A ɛ 0 ɛ log µ ɛ (A) lim sup ɛ log µ ɛ (A) inf I(f), ɛ 0 f A where µ ɛ is the law of {Y ɛ } ɛ (0,1), and the interior A and closure A are taken in S. Definition The sequence {Y ɛ } ɛ (0,1) is said to satisfy the Laplace principle (LP) on S with rate function I if, for each bounded continuous mapping g : S R, ( [ lim ɛ log E exp ɛ 0 g(y ɛ ) ]) ɛ = inf {g(f) + I(f)}. f S Chenggui Yuan (Swansea University) Some Properties of NSFDEs 26 / 41

27 Define the Cameron-Martin space H by t H := {h : [0, T ] R m h(t) = ḣ(s)ds, t [0, T ], and 0 T 0 } ḣ(s) 2 ds <, (30) where the dot denotes the generalized derivative. Note that (H,, H, H ) is a Hilbert space equipped with the norm f H := ( T 0 f(s) 2 ds) 1 2, f H. For each N > 0, let S N := {h H : h H N} (31) be the ball in H with radius N, and A N := {h : [0, T ] R m, an F t predictable process such that h(, ω) S N, P a.s.} Chenggui Yuan (Swansea University) Some Properties of NSFDEs 27 / 41

28 Chenggui Yuan (Swansea University) Some Properties of NSFDEs 28 / 41 For C := C([0, T ]; R m ) and a measurable mapping G ɛ : C S, ɛ (0, 1), let Z ɛ := G ɛ ( ɛw ). (32) Assume that there exists a measurable mapping Z 0 : H S such that, for any N > 0, (i) If the family {h ɛ } ɛ (0,1) A N converge in distribution to an h A N, then G ɛ ( ɛw + h ɛ ) Z 0 (h) in distribution in S as ɛ 0. (ii) The set K N := {Z 0 (h) : h S N } is a compact subset of S. Lemma (Budhiraja and Dupuis,2000): Let {Z ɛ } ɛ (0,1) be defined by (32) and assume that {G ɛ } ɛ (0,1) satisfy (i) and (ii). Then the family {Z ɛ } ɛ (0,1) satisfy the LP (hence LDP) on S with the good rate function defined by I(f) := 1 2 inf {h H,f=Z 0 (h)} h 2 H, f S. (33)

29 Chenggui Yuan (Swansea University) Some Properties of NSFDEs 29 / 41 For ɛ (0, 1), consider the small perturbation of (29) in the form d{x ɛ (t) G(Xt ɛ )} = b(xt ɛ )dt + ɛσ(xt ɛ )dw (t), t [0, T ] (34) with the initial value X0 ɛ = ξ C. By Lemma 10, to establish the LDP for the law of {X ɛ ( )} ɛ (0,1), it is sufficient to (a) choose the Polish space S, (b) construct measurable mappings G ɛ : C S and Z 0 : H S respectively, and then (c) show that (i) and (ii) are satisfied for the measurable mapping G ɛ. In the sequel, we take S = C([0, T ]; R n ), the family of continuous functions f : [0, T ] R n, which is a Polish space under the uniform topology. On the other hand, by the Yamada-Watanabe theorem there exists a unique measurable functional G ɛ : C S such that X ɛ (t) = G ɛ ( ɛw )(t), t [0, T ]. (35)

30 For h ɛ A N, by the Girsanov theorem, we conclude from (34) and (35) that solves the following equation d{x ɛ,hɛ (t) G(X ɛ,hɛ t X ɛ,hɛ (t) := G ɛ ( ɛw + h ɛ )(t), t [0, T ] )} = b(x ɛ,hɛ t )dt+σ(x ɛ,hɛ t ) h ɛ (t)dt+ ɛσ(x ɛ,hɛ )dw (t), t (36) with initial datum X ɛ,hɛ 0 = ξ C. For h H, consider a deterministic equation d{x h (t) G(Xt h )} = {b(xt h ) + σ(xt h )ḣ(t)}dt (37) with initial value X h 0 = ξ C and define X 0 (h) := X h. (38) Chenggui Yuan (Swansea University) Some Properties of NSFDEs 30 / 41

31 Lemma Let (H1) and (H2) hold. For p 2, h S N and h ɛ A N, ( sup X h (t) p E τ t T sup τ t T X ɛ,hɛ (t) p) C. Lemma Under (H1) and (H2), K N = {X 0 (h) : h S N } is a compact subset of S. Lemma Let (H1) and (H2) hold and assume further that the family {h ɛ } ɛ (0,1) A N converge almost surely in H to h A N. Then X ɛ,hɛ X h converges in distribution in S as ɛ 0. Chenggui Yuan (Swansea University) Some Properties of NSFDEs 31 / 41

32 Theorem Under (H1) and (H2), X ɛ satisfies the LDP on S with the good rate function I(f) defined by (33), where X 0 (h) solves Eq. (16). Chenggui Yuan (Swansea University) Some Properties of NSFDEs 32 / 41

33 for some λ i > 0 and q i 1, i = 1, 2. Chenggui Yuan (Swansea University) Some Properties of NSFDEs 33 / 41 LDP for Neutral SDDEs Consider a neutral SDDE on R n d{y (t) G(Y (t τ))} = b(y (t), Y (t τ))dt + σ(y (t), Y (t τ))dw (t) (39) with the initial data Y 0 = ξ. Assume that there exist λ 3, λ 4 > 0 such that (A1) G(x) G(y) λ 3 V 1 (x, y) x y, x, y R n. (A2) b(x 1, y 1 ) b(x 2, y 2 ) σ(x 1, y 1 ) σ(x 2, y 2 ) HS λ 4 ( x 1 x 2 + V 2 (y 1, y 2 ) y 1 y 2 ), x i, y i R n, i = 1, 2, where V i : R n R n R + such that V i (x, y) λ i (1 + x q i + y q i ), x, y R n

34 Chenggui Yuan (Swansea University) Some Properties of NSFDEs 34 / 41 For ɛ (0, 1), consider the small perturbation of (39) d{y ɛ (t) G(Y ɛ (t τ))} = b(y ɛ (t), Y ɛ (t τ))dt+ ɛσ(y ɛ (t), Y ɛ (t τ))dw (t) (40) By the Yamada-Watanabe theorem there exists a unique measurable functional G ɛ : C S such that Y ɛ (t) = G ɛ ( ɛw )(t), t [0, T ]. (41)

35 Chenggui Yuan (Swansea University) Some Properties of NSFDEs 35 / 41 Then, for h ɛ A N, by the Girsanov theorem, (40) and (41), Y ɛ,hɛ (t) := G ɛ ( ɛw + h ɛ )(t), t [0, T ] solves the following equation d{y ɛ,hɛ (t) G(Y ɛ,hɛ (t τ))} = b(y ɛ,hɛ (t), Y ɛ,hɛ (t τ))dt + σ(y ɛ,hɛ (t), Y ɛ,hɛ (t τ)) h ɛ (t)dt (42) + ɛσ(y ɛ,hɛ (t), Y ɛ,hɛ (t τ))dw (t)

36 For any h H, we introduce the skeleton equation associated with (39) d{y h (t) G(Y h (t τ))} = {b(y h (t), Y h (t τ))+σ(y h (t), Y h (t τ))ḣ(t)}dt (43) with Y0 h = ξ. Define Y 0 (h) := Y h, h H. (44) Lemma Let (A1) and (A2) hold. For any p 2, h S N and h ɛ A N, ( sup Y h (s) p E τ s T sup τ s T Y ɛ,hɛ (s) p) C. (45) Chenggui Yuan (Swansea University) Some Properties of NSFDEs 36 / 41

37 Lemma Under (A1) and (A2), K N = {Y 0 (h) : h S N } is a compact subset of S. Lemma Assume that the family {h ɛ } ɛ (0,1) A N converge almost surely in H to h A N. Then Y ɛ,hɛ Y h converges in distribution in S. Our second main result is: Theorem Under (A1) and (A2), Y ɛ = {Y ɛ (t)} t [0,T ], the solution of (40), satisfies the LDP on S with the good rate function I(f) defined by (33), where Y 0 (h) solves (43). Chenggui Yuan (Swansea University) Some Properties of NSFDEs 37 / 41

38 Chenggui Yuan (Swansea University) Some Properties of NSFDEs 38 / 41 J. Bao, G. Yin and C. Yuan, Two-time-scale stochastic partial differential equations driven by alpha-stable noise: averaging principles, accepted by Bernoulli. J. Bao, J. Shao and C. Yuan, Approximation of invariant measures for regime-switching diffusions, Potential Analysis, 44 (2016), J. Bao, B. Böttcher, X. Mao, C. Yuan, Convergence rate of numerical solutions to SFDEs with jumps, J. Comput. Appl. Math. 236 (2011) J. Bao, C. Yuan, Large deviations for neutral functional SDEs with jumps, Stochastics 87 (2015) J. Bao and C.Yuan, Convergence rate of EM scheme for SDDEs, Proc. Amer. Math. Soc., 141 (2013),

39 Chenggui Yuan (Swansea University) Some Properties of NSFDEs 39 / 41 N.V. Krylov, A simple proof of the existence of a solution of Ito s equation with monotone coefficients. Theory Probab. Appl., 35(1990), X. Mao, Stochastic differential equations and applications. Second Edition. Horwood Publishing Limited, Chichester. S.-E. A. Mohammed, Stochastic Functional Differential Equations, Longman, Harlow/New York, S.-E. A. Mohammed, T. Zhang, Large deviations for stochastic systems with memory, Discrete Contin. Dyn. Syst. Ser. B, 6 (2006),

40 Chenggui Yuan (Swansea University) Some Properties of NSFDEs 40 / 41 V. Maroulas, Uniform Large deviations for infinite dimensional stochastic systems with jumps, arxiv: J. Ren, S. Xu, X. Zhang, Large deviations for multivalued stochastic differential equations, J. Theoret. Probab., 23 (2010), M. Röckner, T. Zhang, Stochastic evolution equations of jump type: existence, uniqueness and large deviation principles, Potential Anal., 26 (2007),

41 Thanks A Lot! Chenggui Yuan (Swansea University) Some Properties of NSFDEs 41 / 41

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