Backward stochastic differential equations and integral partial differential equations

Size: px
Start display at page:

Download "Backward stochastic differential equations and integral partial differential equations"

Transcription

1 Backward ochaic differenial equaion and inegral parial differenial equaion Guy BARLS, Rainer BUCKDAHN 1 and ienne PARDOUX 2 June 30, 2009 Abrac We conider a backward ochaic differenial equaion, whoe he daa (he final condiion and he coefficien are given funcion of a jump diffuion proce. We prove ha under mild condiion he oluion of he BSD provide a vicoiy oluion of a yem of parabolic inegral parial differenial equaion. Under an addiional aumpion, ha yem of equaion i proved o have a unique oluion, in a given cla of coninuou funcion. Keyword : backward ochaic differenial equaion, jump diffuion procee, inegral parial differenial operaor, vicoiy oluion of yem of parial differenial equaion. AMS claificaion : 60H10, 60G44, 35K55 Running head : BSD and PD Inroducion Backward ochaic differenial equaion (in hor BSD are new ype of ochaic differenial equaion, whoe value i precribed a he final ime T, ee Pardoux, Peng [8]. I ha been noed in Pardoux, Peng [9] ha BSD provide a probabiliic formula for he oluion of cerain clae of yem of quai linear parabolic PD of econd order, and in paricular ha BSD are naurally aociaed wih vicoiy oluion of PD. The aim of hi paper i o generalize he above reul o he cae of BSD wih repec o boh Brownian moion and a Poion random meaure. The aociaed yem of parabolic PD i hen a yem of inegro parial differenial equaion. We prove, under appropriae aumpion, ha our BSD ha a unique oluion. We hen pu u in a Markovian framework, in which cae a cerain funcion defined hrough he oluion of he BSD i he unique vicoiy oluion of a yem of parabolic inegro parial differenial equaion. 1 The reearch of hi auhor ha been done during a vii a he Univerié de Provence, and wa uppored by a gran of he German Deuche Forchunggeellchaf. 2 Member of he Iniu Univeriaire de France. 1

2 1 A jump diffuion proce Le (Ω, F, (F 0, P be a ochaic bai uch ha F 0 conain all P null elemen of F, and F + = F +ε = F, 0, and uppoe ha he filraion i generaed by he following ε>0 wo muually independen procee : a d dimenional andard Brownian moion {W } 0, and a Poion random meaure µ on IR +, where = IR l \{0} i equipped wih i Borel field, wih compenaor ν(d, de = dλ(de, uch ha { µ([0, ] A = (µ ν([0, ] A} 0 i a maringale for all A aifying λ(a <. λ i aumed o be a σ finie meaure on (, aifying (1 e 2 λ(de < +. Le b : IR d IR d, σ : IR d IR d d be globally Lipchiz and β : IR d IR d be meaurable and uch ha for ome real K, and for all e, β(x, e K(1 e, x IR d, β(x, e β(x, e K x x (1 e, x, x IR d. We now conider he following SD : dx = b(x d + σ(x dw + β(x, e µ(d, de. (1 We denoe by {X (x} he unique oluion of equaion (1 aring from x a ime =, and define X = X 0 (x 0, 0, for ome x 0 IR d. xience and uniquene, a well a he properie of he oluion of (1 are aed in he following reul, which follow from Theorem 2.2 and 2.3 in Fujiwara, Kunia [5] : Propoiion 1.1 For each 0, here exi a verion of {X (x ; x IR d, } uch ha X i a C 2 (IR d valued càdlàg proce. Moreover (i X and X 0 have he ame diribuion, 0 ; (ii X 0 1, X 1 2,..., X n 1 n are independen, for all n IN, 0 0 < 1 < < n ; (iii X r = X r X, 0 < < r. Fuhermore, for all p 2, here exi a real M p uch ha for all 0 <, x, x IR d, (iv ( up Xr(x x p r ( up Xr(x Xr(x (x x p r M p ( (1 + x p M p ( x x p 2

3 2 BSD wih repec o Brownian moion and Lévy proce. xience and uniquene of a oluion From now on, we fix a erminal ime T > 0. We define ome pace of procee. Le S 2 denoe he e of F adaped càdlàg k dimenional procee {Y, 0 T } which are uch ha Y S 2 = up 0 T Y L 2 (Ω <. Le L 2 (W be he e of F progreively meaurable k d dimenional procee {Z, 0 T } which are uch ha Z L 2 (W ( T 1/2 = Z d 2 <. 0 By L 2 ( µ we denoe he e of mapping U : Ω [0, T ] IR k which are P meaurable 1 and uch ha ( T 1/2 U L 2 ( µ = U (e 2 λ(de d <. 0 Finally, we define B 2 = S 2 L 2 (W L 2 ( µ. A proof of he nex reul can be found in Tang, Li [12], Lemma 2.4. Theorem 2.1 Le Q (L 2 (Ω, F T, P k and f : Ω [0, T ] IR k IR k d L 2 (,, λ ; IR k IR k be P B k B k d B(L 2 (,, λ ; IR k meaurable and aify : (A.1.i (A.1.ii here exi K > 0 uch ha T 0 f (0, 0, 0 2 d < ; f (y, z, u f (y, z, u K( y y + z z + u u, for all 0 T, y, y IR k, z, z IR k d, u, u L 2 (,, λ ; IR k. Then here exi a unique riple (Y, Z, U B 2 which olve he B. S. D.. Y = Q + T f (Y, Z, U d T Z dw T U (e µ(d, de, 0 T. (2 We now eablih a coninuiy reul, which will be ueful in he equel. 1 P denoe he σ algebra of F predicable ube of Ω [0, T ]. 3

4 Propoiion 2.2 Le (Q, f and (Q, f be wo daa aifying he aumpion of heorem 2.1 and le (Y, Z, U denoe he oluion of he BSD wih daa (Q, f and (Y, Z, U ha of he BSD wih daa (Q, f. Define ( Q, f = (Q Q, f f and ( Y, Z, U = (Y Y, Z Z, U U. Then here exi a conan c uch ha [ T T ] up Y 2 + Z 2 d + U (e 2 λ(de d 0 T [ c Q T 0 0 ] f(y, Z, U 2 d Proof : I follow from Iô formula ha [ T T ] Y 2 + Z 2 d + U (e 2 λ(de d = [ [ Q Q 2 + c T T + 1 T 2 Z 2 d + 1 T 2 < Y, f (Y, Z, U + f (Y, Z, U f (Y, Z, U > d [ Y 2 + f (Y, Z, U 2 ] d ] U(, e 2 λ(de d The inequaliy which we wan o prove, bu wih up ouide he expecaion, follow 0 T from Gronwall lemma. We apply again Iô formula, yielding Y 2 + T Z 2 d + T T U (e 2 λ(de d = Q < Y, f (Y, Z, U f (Y, Z U > d T T 2 < Y, Z dw > ( Y + U (e 2 Y 2 µ(d, de. The reul now follow from he la ideniy, Doob inequaliy and he previou eimae. In he equel, we are concerned by a pecific cla of BSD where boh Q and for each, y, z, u, he proce {f (y, z, u, T } are given funcion of he proce X (x conruced in ecion 1. More preciely, we are given wo coninuou funcion ] g : IR d IR k, f : [0, T ] IR d IR k IR k d IR k IR k and a meaurable funcion γ : IR d IR k uch ha, for each 1 i k, f i (, x, y, z, q depend on he marix z only hrough i i h column z i, and on he vecor q only hrough i 4

5 i h coordinae q i. The fir one of hee aumpion i eenial for he noion of vicoiy oluion of he yem of inegro parial differenial equaion o be conidered below o make ene. The econd rericion i le eenial, bu will be ueful for proving he uniquene reul. We aume pecifically ha (A.2i f(, x, 0, 0, 0 C(1 + x p, g(x C(1 + x p, for ome C, p > 0 ; (A.2ii f = f(, x, y, z, q i globally Lipchiz in (y, z, q, uniformly in (, x ; (A.2iii for each (, x, y, z [0, T ] IR d IR k IR k d, 1 i k, he funcion p f i (, x, y, z, p i non-decreaing ; (A.2iv here i ome real C > 0 uch ha, for all 1 i k, 0 γ i (x, e C(1 e, x IR d, e γ i (x, e γ i (x, e < C x x (1 e, x, x IR d, e. Under he aumpion (A.2i (A.2iv, for each [0, T ] and x IR d, we conider he BSD Y,i(x = g i (XT (x (3 T + f i (r, Xr(x, Yr (x, Zr,i(x, Ur,i(x, eγ i (Xr(x, eλ(de dr T T Zr,i(x dw r Ur,i(x, e µ(drde, T, 1 i k. Noe ha in (2.2 and in he equel, f depend on U in a very pecific way. The main reaon for hi rericion i ha we hall need he comparion heorem (propoiion 2.6 below, which would no be rue in general, a i i explained in remark 2.7. I follow readily from Theorem 2.1 Corollary 2.3 For each [0, T ], x IR d, he BSD (3 ha a unique oluion (Y (x, Z (x, U (x, B 2, and (, x Y (x define a deerminiic mapping from [0, T ] IR d ino IR k. Remark 2.4 From Propoiion 1.1 (ii and (iii, and from he uniquene of he oluion of he BSD (3 we obain ha, for any 0 < T, x IR d, (Y X (x, Z X (x, U (X (x, T = (Y (x, Z(x, U(x, T in B 2. 5

6 Le u denoe he deerminiic funcion Y (x by u(, x and indicae ome of i baic properie. Propoiion 2.5 Under he aumpion (A.2, he funcion u : [0, T ] IR d IR k i coninuou in (, x and for ome real C and p, u(, x C(1 + x p, (, x [0, T ] IR d. Moreover, if g and f(,, y, z, q are uniformly coninuou, uniformly wih repec o (, y, z, q and bounded, hen u i uniformly coninuou and bounded. Proof : From Corollary 3.2 in [3], we know ha, for any q 2, here exi C q > 0 uch ha, for all 0 T, x IR d, [ Y (x q ] + ( T T q/2 Zr(x 2 dr + Ur(x, e 2 λ(de dr C q (1 + x q. Chooing =, we obain he wihed eimae for he growh of u(, x. We now define Y,x for all [0, T ] by chooing Y,x = Y,x for 0. In order o prove he coninuiy of u, we ue propoiion 2.2 o eimae Y (x Y (x 2 = Y0 (x Y0 (x 2 ( c + up 0 T [ Y (x Y (x 2 g(x T (x g(x T (x 2 T 0 1 [,T ](f(,, X(x, Y (x, Z(x, U(x 1 [,T ](f(, X (x, Y (x, Z (x, U (x ] 2 d and he coninuiy of u follow from he aumpion (A.2v and he polynomial growh of g and f in all heir variable (excep, which reul from (A.2i, (A.2ii and (A.2iv. If moreover g and f(,, y, z, q are uniformly coninuou, hen he uniform coninuiy of u follow from he ame eimae and he boundedne i immediae. Finally, in preparaion o he nex ecion, we provide a comparion heorem for one dimenional BSD. Propoiion 2.6 Le h : Ω [0, T ] IR IR d IR be P B B d B meaurable and aify T (i [ h(, 0, 0, 0 2 d] < +, 0 6

7 (ii h(, y, z, q h(, y, z, q K( y y + z z + q q, for any y, y IR, z, z IR d, q, q IR, [0, T ] and for ome real K > 0; (iii q h(, y, z, q i non-decreaing, for all (, y, z [0, T ] IR IR d. Fuhermore, le γ : Ω [0, T ] IR be P meaurable and aify We e 0 γ (e C(1 e, e. f(, ω, y, z, ϕ = h(, ω, y, z, ϕ(eγ (ω, eλ(de, for (, ω, y, z, ϕ [0, T ] Ω IR IR d L 2 (,, λ. Le Q, Q L 2 (Ω, F T, P and le denoe by (Y, Z, U B 2 (rep. (Y, Z, U B 2 he unique oluion of eq. (2 wih final condiion Q (rep. Q. Then, if Q Q, i follow Y Y, for 0 T. The proof uing Iô formula follow he argumen of he proof of he comparion heorem [9] for BSD wihou jump. Remark 2.7 If we impoe on f only he aumpion (A.1i and (A.1ii, hen, in general, he comparion heorem doe no hold. We give now a couner-example. Le = IR {0}, λ(de = δ 1 (de and f(, ω, y, z, ϕ = 2ϕ(1. Then N = µ(dde, 0 T, i andard Poion proce, and if we chooe hen 0 Q = N T and Q = 0, (Y, Z, U = (N (T, 0, I {e=1}, (Y, Z, U = (0, 0, 0. Clearly, Q Q, bu P {Y < Y } > 0, for all 0 < T. 7

8 3 Aociaed inegral parial differenial equaion. xience and uniquene. We conider he yem of inegral parial differenial equaion of parabolic ype u i(, x Lu i (, x f i (, x, u(, x, ( u i σ(, x, B i u i (, x = 0, (, x [0, T ] IR d, 1 i k u i (T, x = g i (x, x IR d, 1 i k, (4 where he econd-order inegral differenial operaor L i of he form wih L = A + K, Aϕ(x = 1 ( 2 T r a(x 2 ϕ x (x + < b(x, ϕ(x >, 2 ϕ C 2 (IR d, a ij (x = (σ(xσ(x i,j, Kϕ(x = (ϕ(x + β(x, e ϕ(x < ϕ(x, β(x, e >λ(de, ϕ C 2 (IR d, and B i i an inegral operaor defined a B i ϕ(x = (ϕ(x + β(x, e ϕ(xγ i (x, eλ(de, ϕ C 1 (IR d. The funcion σ, b and β are uppoed o aify he aumpion made in ecion 1, f, g and γ hall aify (A.2i (A.2iv. For uch a yem (4, we inroduce he noion of vicoiy oluion. Definiion 3.1 We ay ha u C([0, T ] IR d ; IR k i (i a vicoiy uboluion of (4 if u i (T, x g i (x, x IR d, 1 i k and if, for any 1 i k, ϕ C 2 ([0, T ] IR d, wherever (, x [0, T [ IR d i a global maximum poin of u i ϕ, ϕ (, x Aϕ(, x Kδ (u i, ϕ(, x f i (, x, u(, x, ( ϕσ(, x, B δ i (u i, ϕ(, x 0. for any δ > 0 where K δ (u i, ϕ(, x = (ϕ(, x + β(x, e ϕ(, x < ϕ(, x, β(x, e > λ(de δ + (u i (, x + β(x, e u i (, x < ϕ(, x, β(x, e > λ(de c δ 8

9 and B δ i (u i, ϕ(, x = wih δ = {e ; e < δ}. (ii a vicoiy uperoluion of (4 if (ϕ(, x + β(x, e ϕ(, x γ i (x, eλ(de δ + (u i (, x + β(x, e u i (, x γ i (x, eλ(de c δ u i (T, x g i (T, x,, x IR d, 1 i k, and, for any 1 i k, ϕ C 2 ([0, T ] IR d, whenever (, x [0, T [ IR d i a global minimum poin of u i ϕ, ϕ (, x Aϕ(, x Kδ (u i, ϕ(, x f i (, x, u(, x, ( ϕσ(, x, B δ i (u i, ϕ(, x 0. (iii a vicoiy oluion of (4 if i i boh a ub and a uperoluion of (4. Remark 3.2 The inroducion of he operaor K δ and B δ i in Definiion 3.1 i neceary : indeed, ince we aume only u o be coninuou in x, Ku i and B i u i are no well defined becaue of he ingulariy of λ(de a 0. On he conrary, ince ϕ i a C 2 funcion and ϕ(, x + β(x, e ϕ(, x < Dϕ(, x, β(x, e > C β(x, e 2 ϕ(, x + β(x, e ϕ(, x γ i (x, e C β(x, e γ i (x, e for ome conan C and herefore he wo fir erm in he definiion of K δ and Bi δ have a ene. Non linear ellipic and parabolic equaion wih inegro differenial erm have been udied uing vicoiy oluion heory by A. Sayah [10] and H.M. Soner [11] (ee alo O. Alvarez and A. Tourin [1]. They conider eiher a differen cla of oluion or a differen ype of inegro differenial erm. We borrow here ome of he argumen of hee work bu i i worh menionning ha he paricular form of he yem (4 linear erm + Lipchiz coninuou nonlineariie allow u o provide a impler proof of uniquene. We fir give an equivalen definiion of vicoiy oluion which will be ueful laer on. Lemma 3.3 In he definiion of u being a vicoiy ub (rep. uper oluion of (4, we can replace K δ (u i, ϕ(, x by Kϕ(, x, B δ i (u i, ϕ(, x by B i ϕ(, x. In he ame way, we can replace global maximum poin or global minimum poin by ric global maximum poin or ric global minimum poin. The proof of hi claim i very imple and we leave i a an exercice for he reader. 9

10 Proof : We rea only he uboluion cae. If (, x i a global maximum poin of u i ϕ, we have for all (, y [0, T ] IR d. Therefore for any y IR d and hi yield, for any δ > 0, u i (, y ϕ(, y u i (, x ϕ(, x, u i (, y u i (, x ϕ(, y ϕ(, x, K δ (u i, ϕ(, x Kϕ(, x, B δ i (u i, ϕ(, x B i ϕ(, x. From he inequaliy given by Definiion 3.1, uing aumpion (A.2iii, we deduce eaily ha ϕ (, x Aϕ(, x Kϕ(, x f i(, x, u(x,, ( ϕσ(, x, B i ϕ(, x 0. (5 I remain o how ha hi la condiion implie ha of he definiion. Changing ϕ ino ϕ (ϕ(, x u i (, x, we may aume ha u i (, x = ϕ(, x, u i ϕ. Moreover we may aume w.l.o.g. ha, for all α > 0, here i ome η α > 0, η α 0 a α 0, uch ha ϕ(, y u i (, y η α, for all (, y [0, T ] IR d wih (, y (, x > α. Bu we will how below ha, under hee circumance, here exi a equence (ϕ ε ε of elemen of C 2 ([0, T ] IR d uch ha (i ϕ ε (, y = ϕ(, y, if (, y (, x ( δ 2, 1 ε ; (ii u i (, y < ϕ ε (, y ϕ(, y, if δ 2 < (, y (, x < 1 ε ; (iii ϕ ε (, y u i (, y, a ε 0, for all (, y [0, T ] IR d uch ha (, y (, x δ. In paricular, we have ϕ ε (, x = ϕ(, x, ϕ ε ϕ (, x = (, x, D2 ϕ ε (, x = D 2 ϕ(, x. Since moreover ϕ ε (, x = u i (, x and ϕ ε u i, i follow from (5 ha ϕ ε(, x Aϕ ε (, x Kϕ ε (, x f i (, x, u(, x, ( ϕ ε σ(, x, B i ϕ ε (, x 0. 10

11 Then he propery (ii above ogeher wih (A.2iii yield ϕ(, x Aϕ(, x Kδ (ϕ ε, ϕ(, x f i (, x, u(, x, ( ϕσ(, x, B δ i (ϕ ε, ϕ(, x 0. Now, uing (ii and (iii, we deduce from he Lebegue dominaed convergence heorem ha lim ε 0 Kδ (ϕ ε, ϕ(, x = K δ (u i, ϕ(, x, lim ε 0 Bδ i (ϕ ε, ϕ(, x = Bi δ (u i, ϕ(, x, and leing ε end o 0 in he above relaion yield he deired reul. We now prove he exience of a equence (ϕ ε ε having he required properie. For convenience bu wihou lo of generaliy of he mehod we forge abou he variable and uppoe ha we have a ϕ C 2 (IR d and a u i C(IR d uch ha (a ϕ(x = u i (x (b for all α > 0 here i a η α > 0 uch ha η α 0 a α 0 and ϕ(y u i (y η α, for all y IR d wih y x α. Fix now ε (0, 4 and inroduce he non-negaive funcion 3δ ψ ε (y = (ϕ(y u i (y η 2 1 { 3δ 4 x y 1 }, ε y IRd, where η = η α given by (b wih α = 3δ/4. Le X be a non-negaive elemen of C (IR d wih uppor in he uni ball of IR d uch ha X(y dy = 1, and we e X µ (y = µ d X(µ 1 y, for µ > 0. Since ϕ u i i coninuou, we can find ome µ ε (0, δ/4 uch ha (ϕ u i (y (ϕ u i (y z η 4, for all y, z IR d wih x y 2 ε and z µ ε. Finally we define he funcion ϕ ε (y = ϕ(y X IR d µ ε (y zψ ε (z dz, y IR d. One check eaily ha he following properie hold 11

12 (i ϕ ε (y = ϕ(y, for all y IR d wih y x / ( 3δ 4 µ ε, 1 ε + µ ε ; (ii u i (y + η 4 ϕ ε(y ϕ(y, for y x ( δ 2 µ ε, + ; (iii ϕ ε (y u i (y, a ε 0, for all y IR d. Thi complee he proof. We now prove ha our BSD provide a vicoiy oluion of (4. Theorem 3.4 The funcion u(, x = Y (x, (, x [0, T ] IR d, inroduced in Secion 2, i a vicoiy oluion of eq. (4. Proof : Due o Propoiion 2.5, he funcion u belong o C([0, T ] IR d ; IR k. I clearly aifie he boundary condiion a ime = T. We now how ha i i a vicoiy uboluion of eq. (4. A imilar argumen would how ha i i a vicoiy uperoluion of eq. (4. Le 1 i k, ϕ C 2 ([0, T ] IR d, (, x [0, T ] IR d uch ha ϕ u i, ϕ(, x = u i (, x. Taking ino accoun he correponding properie of u i, we can aume addiionally ha ϕ and i derivaive have a mo polynomial growh a y, uniformly in [0, T ]. Nex we noe ha from uniquene of he oluion of our BSD, for any T, x IR d, Y (x = Y (X(x = u(, X(x. Y Chooe h > 0 uch ha + h T. I follow from he la remark ha for + h,,i(x = u i ( + h, X +h(x + +h Z r,i(x db r +h +h f i (r, X r(x, Y U r,i(x, e µ(drde. r (x, Zr,i(x, U r,i(x, eγ i (X r(x, eλ(de dr If y IR, z IR k, we denoe by (y, z i he k dimenional vecor whoe i h componen equal y, and all he oher componen equal he correponding one of z. Conider he one dimenional BSD Y h (x = ϕ( + h, X+h(x +h + f i (r, Xr(x, (Y h r, Ỹ r,i(x, Z h r, U h r (eγ i (Xr(x, eλ(de dr +h Z h +h r db r U h r (e µ(drde, + h. Taking ino accoun ha ϕ u i, i follow from Propoiion 2.6 ha Y h Y,i(x, + h, a.e., 12

13 and, in paricular, Fuhermore, puing Y h u i (, x = ϕ(, x. we have by Iô formula, ϕ(, X (x = ϕ( + h, X +h(x ψ(, y = ϕ(, y + Lϕ(, y, Φ(, y, e = ϕ(, y + β(y, e ϕ(, y, +h Define, for + h, e, +h ψ(r, X r(x dr Φ(r, Xr (x, e µ(drde. Ŷ h = Y h ϕ(, X (x, Ẑ h = Z h ( ϕσ(, X (x, Û h (e = U h (e Φ(, X (x, e. +h ( ϕσ(r, X r(x db r I follow from he above idenifie ha (Ŷ h, Ẑh, Û h i he unique oluion of he following one dimenional BSD : where Ŷ h = +h [ψ(r, Xr(x + f i (r, Xr(x, Ỹ r h, Z r h, Ũ r h ] dr +h +h Ẑr h db r Ûr h (e µ(drde, Ỹr h = (ϕ(r, Xr(x + Ŷ r h, Ỹ r,i(x Z r h = ( ϕσ(r, Xr(x + Ẑh r Ũr h = (Φ(r, Xr (x, e + Û r h (eγ i (Xr(x, eλ(de Hence, by uing andard echnique o eimae he quared norm of he oluion (Ŷ h, Ẑh, Û h, we obain for + h, +h [ Ŷ h 2 ] + [ c[ Ẑh r 2 dr] + [ +h +h Ŷ r h (1 + Ŷ r h + Ẑh r + ( Û h r (e 2 λ(de dr] Û h r (e 2 λ(de 1/2 dr], 13

14 i.e., for ome c > 0, Hence, in paricular [ Ŷ h 2 ] + 1 +h 2 ([ Ẑh r 2 dr] + [ c[ and conequenly for ome C > 0 On he oher hand, 1 +h 2 ([ Ẑh r 2 dr] + [ and herefore, for ome C > 0 +h +h ([Ŷ h r + Ŷ h r 2 dr] +h [ Ŷ h 2 ] 2c(h + [ Ŷ r h 2 dr], +h ( 1 +h [ h Ẑh r 2 dr] + [ We uppoe now ha [ Ŷ h 2 ] Ch. Û h r (e 2 λ(de dr] +h Û r h (e 2 λ(de dr] c[ ( Ŷ r h + Ŷ r h 2 dr], +h Û h r (e 2 λ(de dr] C h, h > 0. ϕ(, x + Lϕ(, x + f i(, x, u(, x, ( ϕσ(, x, B i ϕ(, x < 0, and find a conradicion by uing he above eimae. Indeed, under he above aumpion, here exi ome δ > 0 and ome h 0 > 0 uch ha, for all 0 < h h 0, ξ h := 1 +h h [ψ(r, Xr(x +f i (r, X r(x, (ϕ(r, X r(x, ũ i (r, X r(x, ( ϕσ(r, X r(x, B i ϕ(r, X r(x] dr δ. Now we have ha Ŷ h 0, hence 0 h 1Ŷ h = 1 +h h [ψ(r, Xr(x + f i (r, Xr(x, (ϕ(r, Xr(x + Ŷ r h, ũ i (r, Xr(x, ( ϕσ(r, Xr(x + Ẑh r, B i ϕ(r, Xr(x + Ûr h (eγ i (Xr(x, eλ(de] dr. 14

15 Therefore, for all 0 < h h 0, δ h 1Ŷ h ξ h c[ 1 h c ch 1/4. +h up +h ( Ŷ h + Ẑh + ( ( 1 [ Ŷ h 2 ] 1/2 + Thi i impoible, conequenly Û h (e 2 λ(de 1/2 d] +h h [ Ẑh r 2 dr] 1/2 + ( 1 +h h [ ϕ(, x Lϕ(, x f i(, x, u(, x, ( ϕσ(, x, B i ϕ(, x 0. In view of Lemma 3.3, hi complee he proof. Û r h (e 2 λ(de dr] 1/2 Now we give a uniquene reul for (4. Thi reul i obained under more rericive aumpion ha he exience one : namely we need he wo following addiional aumpion (A.2 v f i (, x, r, p, q f i (, y, r, p, q m i R( x y (1 + p for 1 i k, where m i R( 0 when 0 +, for all [0, T ], x, y R, r R, p IR d, q IR ( R <. For γ, we aume in addiion (A.2 vi γ i (x, e γ i (y, e C 1 x y (1 e 2 for 1 i k for ome conan C 1 > 0 and for any x, y IR d, e. Our reul i he Theorem 3.5 Aume ha f, g and γ aify (A2. Then here exi a mo one vicoiy oluion u of (4 uch ha 2 lim u(, x e Ã[log( x ] = 0, (6 x + uniformly for [0, T ], for ome à > 0. In paricular, he funcion u(, x = Y (x i he unique vicoiy oluion of (4 in he cla of oluion which aify (6 for ome à > 0. Remark 3.6 Noice ha, by Propoiion 2.5, u(, x = Y (x ha a mo a polynomial growh a infiniy and herefore i aifie (6. The growh condiion (6 i opimal o ge uch a uniquene reul for (4. conider he equaion Indeed, u x2 2 u 2 x x u 2 2 x = 0 in (0, T (0, + ; (7 15

16 hen u i a oluion of (7 if and only if he funcion v(, y = u(, e y i a oluion of he Hea quaion v 1 2 v = 0 in (0, T IR. (8 2 x2 Bu i i well-known ha, for he Hea quaion, he uniquene hold in he cla of oluion v aifying lim v(, y + y e à y 2 = 0, (9 uniformly for [0, T ], for ome à > 0. And (9 give back (6 for (7 ince y = log(x. Le u finally menion ha, in our cae, he growh condiion (6 i mainly a conequence of he aumpion on he coefficien of he differenial operaor and in paricular on a = (a i,j i,j ; under he aumpion of Theorem 3.5, he marix a ha a priori a quadraic growh a infiniy. If a i aumed o have a linear growh a infiniy, an eay adapaion of he proof of Theorem 3.5 how ha he uniquene hold in he cla of oluion aifying uniformly for [0, T ], for ome à > 0. lim u(, x + x e à x = 0, Proof of Theorem 3.5 : Le u and v be wo vicoiy oluion of (4. The proof coni in wo ep. We fir how ha u v and v u are vicoiy uboluion of an inegral parial differenial yem; hen we build a uiable equence of mooh uperoluion of hi yem o how ha u v = 0 in [0, T ] IR d. Here and below, we denoe by he up norm in IR k. Lemma 3.7 Le u be a uboluion and v a uperoluion of (4. Then he funcion ω := u v i a vicoiy uboluion of he yem ω i Lω i K [ ω + ω i σ + (B i ω i +] = 0 in [0, T ] IR d (10 for 1 i k, where K i he Lipchiz conan of f in (r, p, q. Proof : Le ϕ C 2 ([0, T ] IR d and le ( 0, x 0 (0, T IR d be a ric global maximum poin of ω i ϕ for ome 1 i k. We inroduce he funcion ψ ε,α (, x,, y = u i (, x v i (, y x y 2 ( 2 ϕ(, x ε 2 α 2 where ε, α are poiive parameer which are devoed o end o zero. Since ( 0, x 0 i a ric global maximum poin of u i v i ϕ, by a claical argumen in he heory of vicoiy oluion, here exi a equence (, x,, y uch ha 16

17 (i (, x,, y i a global maximum poin of ψ ε,α in ([0, T ] B R 2 where B R i a ball wih a large radiu R. (ii (, x, (, y ( 0, x 0 a (ε, α 0. (iii x y 2 ε 2, ( 2 α 2 are bounded and end o zero when (ε, α 0. We have dropped above he dependence of, x, and y in ε and α for he ake of impliciy of noaion. I follow from Theorem 8.3 in [4] ha here exi X, Y S d uch ha ( a + ϕ (, x, p + Dϕ(, x, X (a, p, Y D 2, v i (, y ( X 0 0 Y 4 ( I I ε 2 I I + D 2,+ u i (, x ( D 2 ϕ(, x where 2( 2(x y a = and p =. α 2 ε 2 Modifying if neceary ψ ε,α by adding erm of he form χ(x and χ(y wih uppor in BR/2 c, we may aume ha (, x,, y i a global maximum poin of ψ ε,α in ([0, T ] IR d 2. Since u and v are repecively ub and uperoluion of (4, we have for δ mall enough a ϕ (, x 1 T r(a(xx < b(x, p + Dϕ(, x > 2 β(x, e δ 2 λ(de (ϕ(, x + β(x, e ϕ(, x < Dϕ(, x, β(x, e >λ(de ε 2 δ (u i (, x + β(x, e u i (, x < p + Dϕ(, x, β(x, e >λ(de c δ f i (, x, u(, x, (p + Dϕ(, xσ(x, B δ i 0 where B δ i = δ ( < p, β(x, e > + β(x, e 2 γ ε 2 i (x, eλ(de (ϕ(, x + β(x, e ϕ(, x γ i (x, eλ(de δ + (u i (, x + β(x, e u i (, x γ i (x, eλ(de c δ 17

18 and where a 1 T r(a(yy < b(y, p > 2 β(y, e + δ 2 λ(de (v ε 2 i (, y + β(y, e v i (, y < p, β(y, e >λ(de δ c B δ i = δ f i (, y, v(, y, pσ(y, Bδ i 0 ( β(y, e 2 < p, β(y, e > γ ε 2 i (y, eλ(de + (v i (, y + β(y, e v i (, yγ i (y, eλ(de. δ c I i worh noicing ha he χ erm we have o add o ψ ε,α o have a global maximum poin do no appear in he wo inequaliie above becaue β i bounded and hey have a uppor which i included in B c R/2 for R large. Of coure, we are going o ubrac hee inequaliie and we need o eimae difference beween erm of he ame ype. Fir, if (e 1... e d i an orhonormal bai of IR d, T r(a(xx T r(a(yy = T r(σ (xxσ(x T r(σ (yy σ(y d = [< Xσ(xe i, σ(xe i > < Y σ(ye i, σ(ye i >] i=1 To eimae hi um, we ue he marix inequaliy above ogeher wih he Lipchiz coninuiy of σ. We ge x y 2 T r(a(xx T r(a(yy C + T r(a(xd 2 ϕ(, x ε 2 for ome conan C. Then x y 2 < b(x, p > < b(y, p > C 1 x y p C ε 2 becaue of he Lipchiz coninuiy of b. To eimae he difference of he inegro differenial erm, we rongly ue he fac ha (, x,, y i a global maximum poin of ψ ε,α in B R/2. From he inequaliy we deduce ψ ε,α (, x + β(x, e,, y + β(y, e ψ ε,α (, x,, y [u i (, x + β(x, e u i (, x] [v i (, y + β(y, e v i (, y] < p, β(x, e β(y, e > 1 ε 2 β(x, e β(y, e 2 ϕ(, x + β(x, e ϕ(, x. 18

19 Therefore c δ + (u i (, x + β(x, e u i (, x < p + Dϕ(, x, β(x, e >λ(de c δ c δ c δ (v i (, y + β(y, e v i (, y < p, β(y, e >λ(de [ϕ(, x + β(x, e ϕ(, x < Dϕ(, x, β(x, e >]λ(de β(x, e β(y, e 2 λ(de. ε 2 Noice ha he la erm of he righ hand ide i eimaed by wih C independen of δ, becaue of he aumpion on β. In he ame way, Bi δ Bδ i + c δ + + δ δ ( β(x, e 2 < p, β(x, e > + γ i (x, eλ(de ( < p, β(y, e > + ε 2 β(y, e 2 ε 2 [ϕ(, x + β(x, e ϕ(, x]γ i (x, eλ(de + γ i (y, eλ(de [v i (, y + β(y, e v i (, y](γ i (x, e γ i (y, eλ(de c δ C x y 2 ε 2 [< p, β(x, e β(y, e > + 1 ε 2 β(x, e β(y, e 2 ]γ i (x, eλ(de Becaue of he aumpion on β and γ, he la inegral i eimaed by C x y 2 ε 2 where C i independen of δ and he preceeding one i eimaed by C x y ince v i coninuou (and herefore locally bounded and becaue of he addiional aumpion (A2.vi made on γ in he aemen of Theorem 3.5. Finally, we conider he difference beween he nonlinear erm f i (, x, u(, x, (p + Dϕ(, xσ(x, B δ i f i (, y, v(, y, pσ(y, Bδ i ρ ε,δ ( + m i ( x y (1 + pσ(y + K u(, x v(, y + K p(σ(x σ(y + Dϕ(, xσ(x + K( B δ i Bδ i +. The fir erm in he righ hand ide come from he coninuiy of f i in : ρ ε,δ ( 0 when 0 + for fixed ε and δ. The econd erm come from (A.2 v : we have denoed by m i he modulu m i R which appear in hi aumpion for R large enough. The hree la erm come from he Lipchiz coninuiy of f i w.r.. he hree la variable and he fac ha i i non-decreaing wih repec o he la one. 19

20 We noice ha x y 2 p(σ(x σ(y C ε 2 becaue of he Lipchiz coninuiy of σ and ha x y 2 x y pσ(y C. ε 2 Now we ubrac he vicoiy inequaliie for u and v : hank o he above eimae, we can wrie he obained inequaliy in he following way ϕ (, x Aϕ(, x Kϕ(, x K u(, x v(, y K Dϕ(, xσ(x K (B i ϕ(, x + ρ ε,δ ( + ω 1 (ε, α + ω ε 2(δ x y 2 where we have gahered in he ω 1 (ε, α erm, all he erm of he form and x y ; ε 2 ω 1 (ε, α 0 when (ε, α end o 0. The ω2(δ ε erm conain all he remaining inegral on 2 δ. To conclude we fir le α go o zero : ince i bounded, 0 and we ge rid of he fir erm of he righ hand ide above. Then we le δ go o zero keeping ε fixed and finally we le ε 0. Since (, x, (, y ( 0, x 0, we obain : α 2 ϕ ( 0, x 0 Lϕ( 0, x 0 K ω( 0, x 0 K Dϕ( 0, x 0 σ(x 0 K(B i ϕ + ( 0, x 0 0 and herefore ω i a uboluion of he deired equaion by Lemma 3.3. Now we are going o build uiable mooh uperoluion for he equaion (10. Lemma 3.8 For any à > 0, here exi C 1 > 0 uch ha he funcion where aifie χ(, x = exp [ (C 1 (T + Ãψ(x] ψ(x = [ log ( ( x /2 + 1 ] 2, χ Lχ Kχ K Dχσ K(B i χ + > 0 in [ 1, T ] IR d for 1 i k where 1 = T Ã/C 1. 20

21 Proof : We fir eimae he erm Kχ and B i χ, he main poin being heir dependence in x. For he ake of impliciy of noaion, we denoe below by C all he poiive conan which ener in hee eimae. Thee conan depend only on à and on he bound on he coefficien of he equaion. We fir give eimae on he fir and econd derivaive of ψ : eay compuaion yield Dψ(x 2[ψ(x]1/2 ( x /2 4 in IRd, and D 2 ψ(x C(1 + [ψ(x]1/2 x Thee eimae imply ha, if [ 1, T ] in IR d. and, in he ame way Dχ(, x (C 1 (T + Ãχ(, x Dψ(x [ψ(x] 1/2 Cχ(, x ( x 2 + 1, 1/2 D 2 χ(, x Cχ(, x ψ(x x I i worh noicing ha, becaue of our choice of 1, he above eimae do no depend on C 1. Then, ince β i bounded and ince ψ i lipchiz coninuou in IR d, ediou bu raighforward compuaion imply and χ(, x + β(x, e χ(, x < Dχ(x,, β(x, e > Cχ(, x ψ(x x β(x, e 2, [ψ(x] 1/2 χ(, x + β(x, e χ(, x Cχ(, x β(x, e. ( x /2 Since σ and b grow a mo linearly a infiniy, we have χ (, x Lχ(, x Kχ(, x K Dχ(, xσ(x K(B i χ + [ χ C 1 ψ(x Cψ(x + C[ψ(x] 1/2 C ψ(x x K 1/2 C K[ψ(x] C K ] [ψ(x]1/2 ( x /2 Since ψ(x 1 in IR d, by uing Cauchy-Schwarz inequaliy, i i clear enough ha for C 1 large enough he quaniy in he bracke i poiive and he proof i complee. 21

22 To conclude he proof, we are going o how ha ω = u v aifie ω(, x αχ(, x in [0, T ] IR d for any α > 0. Then we will le α end o zero. To prove hi inequaliy, we fir remark ha becaue of (6 lim ω(, +1 1/2 ] 2 x + x e Ã[log(( x 2 = 0 uniformly for [0, T ], for ome à > 0. Thi implie, in paricular, ha ω i αχ i bounded from above in [ 1, T ] IR d for any 1 i k and ha M = max max 1 i k [ 1,T ] IR d( ω i αχ(, xe K(T i achieved a ome poin ( 0, x 0 and for ome i 0. We fir remark ha, ince i he up norm in IR k, we have M = max [ 1,T ] IR d( ω αχ(, xe K(T and ω i0 ( 0, x 0 = ω( 0, x 0. We may aume w.l.o.g. ha ω i0 ( 0, x 0 > 0, oherwie we are done. Then wo cae : eiher ω i0 ( 0, x 0 > 0 or ω i0 ( 0, x 0 < 0. We rea he fir cae, he econd one i reaed in a imilar way ince he role of u and v are ymmeric. From he maximum poin propery, we deduce ha ω i0 (, x αχ(, x (ω i0 αχ( 0, x 0 e K( 0 and hi inequaliy can be inerpreed a he propery for he funcion ω i0 φ o have a global maximum poin a ( 0, x 0 where φ(, x = αχ(, x + (ω i0 αχ( 0, x 0 e K( 0 Since ω i a vicoiy uboluion of (10, if 0 [ 1, T [, we have φ ( 0, x 0 Lφ( 0, x 0 K ω( 0, x 0 K Dφ( 0, x 0 σ(x 0 K(B i φ + 0. Bu he lef hand ide of hi inequaliy i nohing bu [ α χ ] ( 0, x 0 Lχ( 0, x 0 Kχ( 0, x 0 K Dχ( 0, x 0 σ(x 0 K(B i χ + ( 0, x 0 ince ω i0 ( 0, x 0 = ω( 0, x 0 ; o, by Lemma 3.8, we have a conradicion. Therefore 0 = T and ince ω(t, x = 0, we have ω(, x αχ(, x 0 in [ 1, T ] IR d. 22

23 Leing α end o zero, we obain ω(, x = 0 in [ 1, T ] IR d. Applying ucceively he ame argumen on he inerval [ 2, 1 ] where 2 = ( 1 Ã/C 1 + and hen, if 2 > 0 on [ 3, 2 ] where 3 = ( 2 Ã/C ec. We finally obain ha and he proof i complee. ω(, x = 0 in [0, T ] IR d Remark 3.9 The aumpion (A.2 vi on γ i ued in he proof o eimae he difference ( B δ i Bδ i + : if u or v i aumed o be locally Lipchiz coninuou hi addiional aumpion i no neceary anymore o obain he reul of Theorem 3.5. Moreover if he funcion f i aify r l f i (, x, r, p, q i non decreaing for l i for any [0, T ], x IR d, p IR d, q IR and (r 1,..., r l 1, r l+1,..., r k in IR k 1 hen eay modificaion in he proof how ha a comparion reul i rue for (4. More preciely, if u, v are repecively vicoiy ub and uperoluion of (4 aifying (6 and hen u(t, x v(t, x in IR d u(, x v(, x in [0, T ] IR d. Our proof, which avoid hi aumpion, i inpired from H. Ihii and S. Koike [7]. Finally, we wan o menion ha, under he above monooniciy aumpion on he f i, he cae of emiconinuou oluion can alo be reaed. We refer o O. Alvarez and A. Tourin [1] for a complee decripion of he properie of emiconinuou oluion for uch inegral parial differenial equaion. Reference [1] O. Alvarez and A. Tourin : Vicoiy oluion of nonlinear inegro differenial equaion, Annale de l Iniu Henri Poincaré. Analye non Linéaire, à paraîre. [2] G. Barle : Soluion de vicoié de équaion de Hamilon Jacobi, Mahémaique e Applicaion 17, Springer, [3] R. Buckdahn,. Pardoux : BSD wih jump and aociaed inegral ochaic differenial equaion, preprin. [4] M.G. Crandall, H. Ihii, P.L. Lion : Uer guide o vicoiy oluion of econd order parial differenial equaion, Bull. Amer. Soc. 27, 1 67,

24 [5] T. Fujiwara, H. Kunia : Sochaic differenial equaion of Jump ype and Lévy procee in diffeomorphim group, J. Mah. Kyoo Univ. 25, 1, , [6] N. Ikeda, S. Waanabe : Sochaic Differenial quaion and Diffuion Procee, Norh Holland/Kodanka [7] J. Ihii, S. Koike : Vicoiy oluion for monoone yem of econd order ellipic PDe, Commun. in Parial Diff. qu., 16 (6 & 7, , [8]. Pardoux, S. Peng : Adaped oluion of a backward ochaic differenial equaion, Sy. Conrol Le. 14, 55 61, [9]. Pardoux, S. Peng : Backward ochaic differenial equaion and quailinear parabolic parial differenial equaion, in : B.L. Rozovkii, R.B. Sower (ed Sochaic parial differenial equaion and heir applicaion (Lec. Noe Conrol Inf. Sci. 176, Berlin, Heidelberg New York : Springer [10] A. Sayah : quaion d Hamilon Jacobi du premier ordre avec erme inégro différeniel : Parie I : Unicié de oluion de vicoié ; Parie II : xience de oluion de vicoié ; Comm. in Parial Diff. q. 16 (6 & 7, , [11] H. M. Soner : Opimal conrol of jump-markov procee and vicoiy oluion, in Sochaic Differenial Syem, Sochaic Conrol Theory and Applicaion (W.H Fleming and P.L Lion, ed, IMA Mah. Appl. vol 10, Springer, Berlin, [12] S. Tang, X. Li : Neceary condiion for opimal conrol of ochaic yem wih random jump, SIAM J. Conrol and Opim. 32, , Guy BARLS Faculé de Science e Technique Univerié de Tour Déparemen de Mahémaique e Informaique Scienifique 7, Parc Grandmon F TOURS Rainer BUCKDAHN Univerié de Breagne Occidenale Faculé de Science e Technique Déparemen de Mahémaique 6, avenue Le Gorgeu BP 809 F BRST CDX 24

25 ienne PARDOUX LATP Cenre de Mahémaique e d Informaique Univerié de Provence 39, rue Jolio Curie F MARSILL CDX 13 25

Mathematische Annalen

Mathematische Annalen Mah. Ann. 39, 33 339 (997) Mahemaiche Annalen c Springer-Verlag 997 Inegraion by par in loop pace Elon P. Hu Deparmen of Mahemaic, Norhweern Univeriy, Evanon, IL 628, USA (e-mail: elon@@mah.nwu.edu) Received:

More information

Introduction to SLE Lecture Notes

Introduction to SLE Lecture Notes Inroducion o SLE Lecure Noe May 13, 16 - The goal of hi ecion i o find a ufficien condiion of λ for he hull K o be generaed by a imple cure. I urn ou if λ 1 < 4 hen K i generaed by a imple curve. We will

More information

FULLY COUPLED FBSDE WITH BROWNIAN MOTION AND POISSON PROCESS IN STOPPING TIME DURATION

FULLY COUPLED FBSDE WITH BROWNIAN MOTION AND POISSON PROCESS IN STOPPING TIME DURATION J. Au. Mah. Soc. 74 (23), 249 266 FULLY COUPLED FBSDE WITH BROWNIAN MOTION AND POISSON PROCESS IN STOPPING TIME DURATION HEN WU (Received 7 Ocober 2; revied 18 January 22) Communicaed by V. Sefanov Abrac

More information

Fractional Ornstein-Uhlenbeck Bridge

Fractional Ornstein-Uhlenbeck Bridge WDS'1 Proceeding of Conribued Paper, Par I, 21 26, 21. ISBN 978-8-7378-139-2 MATFYZPRESS Fracional Ornein-Uhlenbeck Bridge J. Janák Charle Univeriy, Faculy of Mahemaic and Phyic, Prague, Czech Republic.

More information

Laplace Transform. Inverse Laplace Transform. e st f(t)dt. (2)

Laplace Transform. Inverse Laplace Transform. e st f(t)dt. (2) Laplace Tranform Maoud Malek The Laplace ranform i an inegral ranform named in honor of mahemaician and aronomer Pierre-Simon Laplace, who ued he ranform in hi work on probabiliy heory. I i a powerful

More information

Generalized Orlicz Spaces and Wasserstein Distances for Convex-Concave Scale Functions

Generalized Orlicz Spaces and Wasserstein Distances for Convex-Concave Scale Functions Generalized Orlicz Space and Waerein Diance for Convex-Concave Scale Funcion Karl-Theodor Surm Abrac Given a ricly increaing, coninuou funcion ϑ : R + R +, baed on he co funcional ϑ (d(x, y dq(x, y, we

More information

, the. L and the L. x x. max. i n. It is easy to show that these two norms satisfy the following relation: x x n x = (17.3) max

, the. L and the L. x x. max. i n. It is easy to show that these two norms satisfy the following relation: x x n x = (17.3) max ecure 8 7. Sabiliy Analyi For an n dimenional vecor R n, he and he vecor norm are defined a: = T = i n i (7.) I i eay o how ha hee wo norm aify he following relaion: n (7.) If a vecor i ime-dependen, hen

More information

An Introduction to Malliavin calculus and its applications

An Introduction to Malliavin calculus and its applications An Inroducion o Malliavin calculus and is applicaions Lecure 5: Smoohness of he densiy and Hörmander s heorem David Nualar Deparmen of Mahemaics Kansas Universiy Universiy of Wyoming Summer School 214

More information

Explicit form of global solution to stochastic logistic differential equation and related topics

Explicit form of global solution to stochastic logistic differential equation and related topics SAISICS, OPIMIZAION AND INFOMAION COMPUING Sa., Opim. Inf. Compu., Vol. 5, March 17, pp 58 64. Publihed online in Inernaional Academic Pre (www.iapre.org) Explici form of global oluion o ochaic logiic

More information

On the Exponential Operator Functions on Time Scales

On the Exponential Operator Functions on Time Scales dvance in Dynamical Syem pplicaion ISSN 973-5321, Volume 7, Number 1, pp. 57 8 (212) hp://campu.m.edu/ada On he Exponenial Operaor Funcion on Time Scale laa E. Hamza Cairo Univeriy Deparmen of Mahemaic

More information

Multidimensional Markovian FBSDEs with superquadratic

Multidimensional Markovian FBSDEs with superquadratic Mulidimenional Markovian FBSDE wih uperquadraic growh Michael Kupper a,1, Peng Luo b,, Ludovic angpi c,3 December 14, 17 ABSRAC We give local and global exience and uniquene reul for mulidimenional coupled

More information

Backward Stochastic Differential Equations and Applications in Finance

Backward Stochastic Differential Equations and Applications in Finance Backward Sochaic Differenial Equaion and Applicaion in Finance Ying Hu Augu 1, 213 1 Inroducion The aim of hi hor cae i o preen he baic heory of BSDE and o give ome applicaion in 2 differen domain: mahemaical

More information

Coupling Homogenization and Large Deviations. Principle in a Parabolic PDE

Coupling Homogenization and Large Deviations. Principle in a Parabolic PDE Applied Mahemaical Science, Vol. 9, 215, no. 41, 219-23 HIKARI Ld, www.m-hikari.com hp://dx.doi.org/1.12988/am.215.5169 Coupling Homogenizaion and Large Deviaion Principle in a Parabolic PDE Alioune Coulibaly,

More information

Stability in Distribution for Backward Uncertain Differential Equation

Stability in Distribution for Backward Uncertain Differential Equation Sabiliy in Diribuion for Backward Uncerain Differenial Equaion Yuhong Sheng 1, Dan A. Ralecu 2 1. College of Mahemaical and Syem Science, Xinjiang Univeriy, Urumqi 8346, China heng-yh12@mail.inghua.edu.cn

More information

EECE 301 Signals & Systems Prof. Mark Fowler

EECE 301 Signals & Systems Prof. Mark Fowler EECE 31 Signal & Syem Prof. Mark Fowler Noe Se #27 C-T Syem: Laplace Tranform Power Tool for yem analyi Reading Aignmen: Secion 6.1 6.3 of Kamen and Heck 1/18 Coure Flow Diagram The arrow here how concepual

More information

18.03SC Unit 3 Practice Exam and Solutions

18.03SC Unit 3 Practice Exam and Solutions Sudy Guide on Sep, Dela, Convoluion, Laplace You can hink of he ep funcion u() a any nice mooh funcion which i for < a and for > a, where a i a poiive number which i much maller han any ime cale we care

More information

ESTIMATES FOR THE DERIVATIVE OF DIFFUSION SEMIGROUPS

ESTIMATES FOR THE DERIVATIVE OF DIFFUSION SEMIGROUPS Elec. Comm. in Probab. 3 (998) 65 74 ELECTRONIC COMMUNICATIONS in PROBABILITY ESTIMATES FOR THE DERIVATIVE OF DIFFUSION SEMIGROUPS L.A. RINCON Deparmen of Mahemaic Univeriy of Wale Swanea Singleon Par

More information

Rough Paths and its Applications in Machine Learning

Rough Paths and its Applications in Machine Learning Pah ignaure Machine learning applicaion Rough Pah and i Applicaion in Machine Learning July 20, 2017 Rough Pah and i Applicaion in Machine Learning Pah ignaure Machine learning applicaion Hiory and moivaion

More information

Research Article Existence and Uniqueness of Solutions for a Class of Nonlinear Stochastic Differential Equations

Research Article Existence and Uniqueness of Solutions for a Class of Nonlinear Stochastic Differential Equations Hindawi Publihing Corporaion Abrac and Applied Analyi Volume 03, Aricle ID 56809, 7 page hp://dx.doi.org/0.55/03/56809 Reearch Aricle Exience and Uniquene of Soluion for a Cla of Nonlinear Sochaic Differenial

More information

Algorithmic Discrete Mathematics 6. Exercise Sheet

Algorithmic Discrete Mathematics 6. Exercise Sheet Algorihmic Dicree Mahemaic. Exercie Shee Deparmen of Mahemaic SS 0 PD Dr. Ulf Lorenz 7. and 8. Juni 0 Dipl.-Mah. David Meffer Verion of June, 0 Groupwork Exercie G (Heap-Sor) Ue Heap-Sor wih a min-heap

More information

Reflected Solutions of BSDEs Driven by G-Brownian Motion

Reflected Solutions of BSDEs Driven by G-Brownian Motion Refleced Soluion of BSDE Driven by G-Brownian Moion Hanwu Li Shige Peng Abdoulaye Soumana Hima Sepember 1, 17 Abrac In hi paper, we udy he refleced oluion of one-dimenional backward ochaic differenial

More information

Measure-valued Diffusions and Stochastic Equations with Poisson Process 1

Measure-valued Diffusions and Stochastic Equations with Poisson Process 1 Publihed in: Oaka Journal of Mahemaic 41 (24), 3: 727 744 Meaure-valued Diffuion and Sochaic quaion wih Poion Proce 1 Zongfei FU and Zenghu LI 2 Running head: Meaure-valued Diffuion and Sochaic quaion

More information

6.8 Laplace Transform: General Formulas

6.8 Laplace Transform: General Formulas 48 HAP. 6 Laplace Tranform 6.8 Laplace Tranform: General Formula Formula Name, ommen Sec. F() l{ f ()} e f () d f () l {F()} Definiion of Tranform Invere Tranform 6. l{af () bg()} al{f ()} bl{g()} Lineariy

More information

FLAT CYCLOTOMIC POLYNOMIALS OF ORDER FOUR AND HIGHER

FLAT CYCLOTOMIC POLYNOMIALS OF ORDER FOUR AND HIGHER #A30 INTEGERS 10 (010), 357-363 FLAT CYCLOTOMIC POLYNOMIALS OF ORDER FOUR AND HIGHER Nahan Kaplan Deparmen of Mahemaic, Harvard Univeriy, Cambridge, MA nkaplan@mah.harvard.edu Received: 7/15/09, Revied:

More information

arxiv: v1 [math.pr] 2 Jan 2015

arxiv: v1 [math.pr] 2 Jan 2015 Mean-field backward ochaic differenial equaion on Markov chain arxiv:151.955v1 [mah.pr] 2 Jan 215 Wen Lu 1 Yong Ren 2 1. School of Mahemaic and Informaional Science, Yanai Univeriy, Yanai 2645, China 2.

More information

Integro-partial differential equations with singular terminal condition

Integro-partial differential equations with singular terminal condition Inegro-parial differenial equaion wih ingular erminal condiion Alexandre Popier To cie hi verion: Alexandre Popier. Inegro-parial differenial equaion wih ingular erminal condiion. 2017.

More information

CHAPTER 7: SECOND-ORDER CIRCUITS

CHAPTER 7: SECOND-ORDER CIRCUITS EEE5: CI RCUI T THEORY CHAPTER 7: SECOND-ORDER CIRCUITS 7. Inroducion Thi chaper conider circui wih wo orage elemen. Known a econd-order circui becaue heir repone are decribed by differenial equaion ha

More information

FUZZY n-inner PRODUCT SPACE

FUZZY n-inner PRODUCT SPACE Bull. Korean Mah. Soc. 43 (2007), No. 3, pp. 447 459 FUZZY n-inner PRODUCT SPACE Srinivaan Vijayabalaji and Naean Thillaigovindan Reprined from he Bullein of he Korean Mahemaical Sociey Vol. 43, No. 3,

More information

Chapter 6. Laplace Transforms

Chapter 6. Laplace Transforms Chaper 6. Laplace Tranform Kreyzig by YHLee;45; 6- An ODE i reduced o an algebraic problem by operaional calculu. The equaion i olved by algebraic manipulaion. The reul i ranformed back for he oluion of

More information

Stochastic Optimal Control in Infinite Dimensions: Dynamic Programming and HJB Equations

Stochastic Optimal Control in Infinite Dimensions: Dynamic Programming and HJB Equations Sochaic Opimal Conrol in Infinie Dimenion: Dynamic Programming and HJB Equaion G. Fabbri 1 F. Gozzi 2 and A. Świe ch3 wih Chaper 6 by M. Fuhrman 4 and G. Teiore 5 1 Aix-Mareille Univeriy (Aix-Mareille

More information

GLOBAL ANALYTIC REGULARITY FOR NON-LINEAR SECOND ORDER OPERATORS ON THE TORUS

GLOBAL ANALYTIC REGULARITY FOR NON-LINEAR SECOND ORDER OPERATORS ON THE TORUS PROCEEDINGS OF THE AMERICAN MATHEMATICAL SOCIETY Volume 131, Number 12, Page 3783 3793 S 0002-9939(03)06940-5 Aricle elecronically publihed on February 28, 2003 GLOBAL ANALYTIC REGULARITY FOR NON-LINEAR

More information

BSDE's, Clark-Ocone formula, and Feynman-Kac formula for Lévy processes Nualart, D.; Schoutens, W.

BSDE's, Clark-Ocone formula, and Feynman-Kac formula for Lévy processes Nualart, D.; Schoutens, W. BSD', Clark-Ocone formula, and Feynman-Kac formula for Lévy procee Nualar, D.; Schouen, W. Publihed: 1/1/ Documen Verion Publiher PDF, alo known a Verion of ecord (include final page, iue and volume number)

More information

FIXED POINTS AND STABILITY IN NEUTRAL DIFFERENTIAL EQUATIONS WITH VARIABLE DELAYS

FIXED POINTS AND STABILITY IN NEUTRAL DIFFERENTIAL EQUATIONS WITH VARIABLE DELAYS PROCEEDINGS OF THE AMERICAN MATHEMATICAL SOCIETY Volume 136, Number 3, March 28, Page 99 918 S 2-9939(7)989-2 Aricle elecronically publihed on November 3, 27 FIXED POINTS AND STABILITY IN NEUTRAL DIFFERENTIAL

More information

Chapter 7: Inverse-Response Systems

Chapter 7: Inverse-Response Systems Chaper 7: Invere-Repone Syem Normal Syem Invere-Repone Syem Baic Sar ou in he wrong direcion End up in he original eady-ae gain value Two or more yem wih differen magniude and cale in parallel Main yem

More information

NECESSARY AND SUFFICIENT CONDITIONS FOR LATENT SEPARABILITY

NECESSARY AND SUFFICIENT CONDITIONS FOR LATENT SEPARABILITY NECESSARY AND SUFFICIENT CONDITIONS FOR LATENT SEPARABILITY Ian Crawford THE INSTITUTE FOR FISCAL STUDIES DEPARTMENT OF ECONOMICS, UCL cemmap working paper CWP02/04 Neceary and Sufficien Condiion for Laen

More information

An introduction to the (local) martingale problem

An introduction to the (local) martingale problem An inroducion o he (local) maringale problem Chri Janjigian Ocober 14, 214 Abrac Thee are my preenaion noe for a alk in he Univeriy of Wiconin - Madion graduae probabiliy eminar. Thee noe are primarily

More information

About the Pricing Equation in Finance

About the Pricing Equation in Finance Abou he Pricing Equaion in Finance Séphane Crépey Déparemen de Mahémaique Univerié d Évry Val d Eonne 91025 Évry Cedex, France Thi verion: July 10, 2007 1 Inroducion In [16], we conruced a raher generic

More information

Note on Matuzsewska-Orlich indices and Zygmund inequalities

Note on Matuzsewska-Orlich indices and Zygmund inequalities ARMENIAN JOURNAL OF MATHEMATICS Volume 3, Number 1, 21, 22 31 Noe on Mauzewka-Orlic indice and Zygmund inequaliie N. G. Samko Univeridade do Algarve, Campu de Gambela, Faro,85 139, Porugal namko@gmail.com

More information

Approximation for Option Prices under Uncertain Volatility

Approximation for Option Prices under Uncertain Volatility Approximaion for Opion Price under Uncerain Volailiy Jean-Pierre Fouque Bin Ren February, 3 Abrac In hi paper, we udy he aympoic behavior of he wor cae cenario opion price a he volailiy inerval in an uncerain

More information

arxiv: v2 [math.pr] 18 Mar 2019

arxiv: v2 [math.pr] 18 Mar 2019 Probabiliic approach o ingular perurbaion of vicoiy oluion o nonlinear parabolic PDE arxiv:193.5549v2 mah.pr 18 Mar 219 Minghang Hu Falei Wang Abrac In hi paper, we prove a convergence heorem for ingular

More information

MALLIAVIN CALCULUS FOR BACKWARD STOCHASTIC DIFFERENTIAL EQUATIONS AND APPLICATION TO NUMERICAL SOLUTIONS

MALLIAVIN CALCULUS FOR BACKWARD STOCHASTIC DIFFERENTIAL EQUATIONS AND APPLICATION TO NUMERICAL SOLUTIONS The Annal of Applied Probabiliy 211, Vol. 21, No. 6, 2379 2423 DOI: 1.1214/11-AAP762 Iniue of Mahemaical Saiic, 211 MALLIAVIN CALCULUS FOR BACKWARD STOCHASTIC DIFFERENTIAL EQUATIONS AND APPLICATION TO

More information

To become more mathematically correct, Circuit equations are Algebraic Differential equations. from KVL, KCL from the constitutive relationship

To become more mathematically correct, Circuit equations are Algebraic Differential equations. from KVL, KCL from the constitutive relationship Laplace Tranform (Lin & DeCarlo: Ch 3) ENSC30 Elecric Circui II The Laplace ranform i an inegral ranformaion. I ranform: f ( ) F( ) ime variable complex variable From Euler > Lagrange > Laplace. Hence,

More information

An Introduction to Backward Stochastic Differential Equations (BSDEs) PIMS Summer School 2016 in Mathematical Finance.

An Introduction to Backward Stochastic Differential Equations (BSDEs) PIMS Summer School 2016 in Mathematical Finance. 1 An Inroducion o Backward Sochasic Differenial Equaions (BSDEs) PIMS Summer School 2016 in Mahemaical Finance June 25, 2016 Chrisoph Frei cfrei@ualbera.ca This inroducion is based on Touzi [14], Bouchard

More information

1 Motivation and Basic Definitions

1 Motivation and Basic Definitions CSCE : Deign and Analyi of Algorihm Noe on Max Flow Fall 20 (Baed on he preenaion in Chaper 26 of Inroducion o Algorihm, 3rd Ed. by Cormen, Leieron, Rive and Sein.) Moivaion and Baic Definiion Conider

More information

Notes on cointegration of real interest rates and real exchange rates. ρ (2)

Notes on cointegration of real interest rates and real exchange rates. ρ (2) Noe on coinegraion of real inere rae and real exchange rae Charle ngel, Univeriy of Wiconin Le me ar wih he obervaion ha while he lieraure (mo prominenly Meee and Rogoff (988) and dion and Paul (993))

More information

1 Solutions to selected problems

1 Solutions to selected problems 1 Soluions o seleced problems 1. Le A B R n. Show ha in A in B bu in general bd A bd B. Soluion. Le x in A. Then here is ɛ > 0 such ha B ɛ (x) A B. This shows x in B. If A = [0, 1] and B = [0, 2], hen

More information

Approximate Controllability of Fractional Stochastic Perturbed Control Systems Driven by Mixed Fractional Brownian Motion

Approximate Controllability of Fractional Stochastic Perturbed Control Systems Driven by Mixed Fractional Brownian Motion American Journal of Applied Mahemaic and Saiic, 15, Vol. 3, o. 4, 168-176 Available online a hp://pub.ciepub.com/ajam/3/4/7 Science and Educaion Publihing DOI:1.1691/ajam-3-4-7 Approximae Conrollabiliy

More information

arxiv:math/ v1 [math.pr] 6 Feb 2007

arxiv:math/ v1 [math.pr] 6 Feb 2007 Sochaic Differenial Game and Vicoiy Soluion of Hamilon-Jacobi-Bellman-Iaac Equaion arxiv:mah/0702131v1 [mah.pr] 6 Feb 2007 Rainer Buckdahn Déparemen de Mahémaique, Univerié de Breagne Occidenale, 6, avenue

More information

arxiv:math/ v2 [math.fa] 30 Jul 2006

arxiv:math/ v2 [math.fa] 30 Jul 2006 ON GÂTEAUX DIFFERENTIABILITY OF POINTWISE LIPSCHITZ MAPPINGS arxiv:mah/0511565v2 [mah.fa] 30 Jul 2006 JAKUB DUDA Abrac. We prove ha for every funcion f : X Y, where X i a eparable Banach pace and Y i a

More information

Hamilton- J acobi Equation: Weak S olution We continue the study of the Hamilton-Jacobi equation:

Hamilton- J acobi Equation: Weak S olution We continue the study of the Hamilton-Jacobi equation: M ah 5 7 Fall 9 L ecure O c. 4, 9 ) Hamilon- J acobi Equaion: Weak S oluion We coninue he sudy of he Hamilon-Jacobi equaion: We have shown ha u + H D u) = R n, ) ; u = g R n { = }. ). In general we canno

More information

arxiv: v1 [math.pr] 19 Feb 2011

arxiv: v1 [math.pr] 19 Feb 2011 A NOTE ON FELLER SEMIGROUPS AND RESOLVENTS VADIM KOSTRYKIN, JÜRGEN POTTHOFF, AND ROBERT SCHRADER ABSTRACT. Various equivalen condiions for a semigroup or a resolven generaed by a Markov process o be of

More information

Chapter 6. Laplace Transforms

Chapter 6. Laplace Transforms 6- Chaper 6. Laplace Tranform 6.4 Shor Impule. Dirac Dela Funcion. Parial Fracion 6.5 Convoluion. Inegral Equaion 6.6 Differeniaion and Inegraion of Tranform 6.7 Syem of ODE 6.4 Shor Impule. Dirac Dela

More information

Let. x y. denote a bivariate time series with zero mean.

Let. x y. denote a bivariate time series with zero mean. Linear Filer Le x y : T denoe a bivariae ime erie wih zero mean. Suppoe ha he ime erie {y : T} i conruced a follow: y a x The ime erie {y : T} i aid o be conruced from {x : T} by mean of a Linear Filer.

More information

Introduction to Congestion Games

Introduction to Congestion Games Algorihmic Game Theory, Summer 2017 Inroducion o Congeion Game Lecure 1 (5 page) Inrucor: Thoma Keelheim In hi lecure, we ge o know congeion game, which will be our running example for many concep in game

More information

arxiv: v5 [math.pr] 6 Oct 2015

arxiv: v5 [math.pr] 6 Oct 2015 ON THE EXISTENCE AND UNIQUENESS OF SOLUTIONS TO STOCHASTIC DIFFERENTIAL EQUATIONS DRIVEN BY G-BROWNIAN MOTION WITH INTEGRAL-LIPSCHITZ COEFFICIENTS XUEPENG BAI AND YIQING LIN arxiv:12.146v5 mah.pr] 6 Oc

More information

DIMENSIONAL REDUCTION IN NONLINEAR FILTERING: A HOMOGENIZATION APPROACH

DIMENSIONAL REDUCTION IN NONLINEAR FILTERING: A HOMOGENIZATION APPROACH DIMNSIONAL RDUCION IN NONLINAR FILRING: A HOMOGNIZAION APPROACH PR IMKLLR 1, N. SRI NAMACHCHIVAYA 2, NICOLAS PRKOWSKI 1, AND HOONG C. YONG 2 Abrac. We propoe a homogenized filer for mulicale ignal, which

More information

Dual Representation as Stochastic Differential Games of Backward Stochastic Differential Equations and Dynamic Evaluations

Dual Representation as Stochastic Differential Games of Backward Stochastic Differential Equations and Dynamic Evaluations arxiv:mah/0602323v1 [mah.pr] 15 Feb 2006 Dual Represenaion as Sochasic Differenial Games of Backward Sochasic Differenial Equaions and Dynamic Evaluaions Shanjian Tang Absrac In his Noe, assuming ha he

More information

Generalized Snell envelope and BSDE With Two general Reflecting Barriers

Generalized Snell envelope and BSDE With Two general Reflecting Barriers 1/22 Generalized Snell envelope and BSDE Wih Two general Reflecing Barriers EL HASSAN ESSAKY Cadi ayyad Universiy Poly-disciplinary Faculy Safi Work in progress wih : M. Hassani and Y. Ouknine Iasi, July

More information

6. Stochastic calculus with jump processes

6. Stochastic calculus with jump processes A) Trading sraegies (1/3) Marke wih d asses S = (S 1,, S d ) A rading sraegy can be modelled wih a vecor φ describing he quaniies invesed in each asse a each insan : φ = (φ 1,, φ d ) The value a of a porfolio

More information

The multisubset sum problem for finite abelian groups

The multisubset sum problem for finite abelian groups Alo available a hp://amc-journal.eu ISSN 1855-3966 (prined edn.), ISSN 1855-3974 (elecronic edn.) ARS MATHEMATICA CONTEMPORANEA 8 (2015) 417 423 The muliube um problem for finie abelian group Amela Muraović-Ribić

More information

Systems of nonlinear ODEs with a time singularity in the right-hand side

Systems of nonlinear ODEs with a time singularity in the right-hand side Syem of nonlinear ODE wih a ime ingulariy in he righ-hand ide Jana Burkoová a,, Irena Rachůnková a, Svaolav Saněk a, Ewa B. Weinmüller b, Sefan Wurm b a Deparmen of Mahemaical Analyi and Applicaion of

More information

Additional Methods for Solving DSGE Models

Additional Methods for Solving DSGE Models Addiional Mehod for Solving DSGE Model Karel Meren, Cornell Univeriy Reference King, R. G., Ploer, C. I. & Rebelo, S. T. (1988), Producion, growh and buine cycle: I. he baic neoclaical model, Journal of

More information

arxiv: v1 [math.pr] 23 Apr 2018

arxiv: v1 [math.pr] 23 Apr 2018 arxiv:184.8469v1 [mah.pr] 23 Apr 218 The Neumann Boundary Problem for Ellipic Parial ifferenial Equaion wih Nonlinear ivergence Term Xue YANG Tianjin Univeriy e-mail: xyang213@ju.edu.cn Jing ZHANG Fudan

More information

Energy Equality and Uniqueness of Weak Solutions to MHD Equations in L (0,T; L n (Ω))

Energy Equality and Uniqueness of Weak Solutions to MHD Equations in L (0,T; L n (Ω)) Aca Mahemaica Sinica, Englih Serie May, 29, Vol. 25, No. 5, pp. 83 814 Publihed online: April 25, 29 DOI: 1.17/1114-9-7214-8 Hp://www.AcaMah.com Aca Mahemaica Sinica, Englih Serie The Ediorial Office of

More information

t is a basis for the solution space to this system, then the matrix having these solutions as columns, t x 1 t, x 2 t,... x n t x 2 t...

t is a basis for the solution space to this system, then the matrix having these solutions as columns, t x 1 t, x 2 t,... x n t x 2 t... Mah 228- Fri Mar 24 5.6 Marix exponenials and linear sysems: The analogy beween firs order sysems of linear differenial equaions (Chaper 5) and scalar linear differenial equaions (Chaper ) is much sronger

More information

Oscillation of an Euler Cauchy Dynamic Equation S. Huff, G. Olumolode, N. Pennington, and A. Peterson

Oscillation of an Euler Cauchy Dynamic Equation S. Huff, G. Olumolode, N. Pennington, and A. Peterson PROCEEDINGS OF THE FOURTH INTERNATIONAL CONFERENCE ON DYNAMICAL SYSTEMS AND DIFFERENTIAL EQUATIONS May 4 7, 00, Wilmingon, NC, USA pp 0 Oscillaion of an Euler Cauchy Dynamic Equaion S Huff, G Olumolode,

More information

Heat kernel and Harnack inequality on Riemannian manifolds

Heat kernel and Harnack inequality on Riemannian manifolds Hea kernel and Harnack inequaliy on Riemannian manifolds Alexander Grigor yan UHK 11/02/2014 onens 1 Laplace operaor and hea kernel 1 2 Uniform Faber-Krahn inequaliy 3 3 Gaussian upper bounds 4 4 ean-value

More information

Randomized Perfect Bipartite Matching

Randomized Perfect Bipartite Matching Inenive Algorihm Lecure 24 Randomized Perfec Biparie Maching Lecurer: Daniel A. Spielman April 9, 208 24. Inroducion We explain a randomized algorihm by Ahih Goel, Michael Kapralov and Sanjeev Khanna for

More information

On the Benney Lin and Kawahara Equations

On the Benney Lin and Kawahara Equations JOURNAL OF MATEMATICAL ANALYSIS AND APPLICATIONS 11, 13115 1997 ARTICLE NO AY975438 On he BenneyLin and Kawahara Equaion A Biagioni* Deparmen of Mahemaic, UNICAMP, 1381-97, Campina, Brazil and F Linare

More information

Finish reading Chapter 2 of Spivak, rereading earlier sections as necessary. handout and fill in some missing details!

Finish reading Chapter 2 of Spivak, rereading earlier sections as necessary. handout and fill in some missing details! MAT 257, Handou 6: Ocober 7-2, 20. I. Assignmen. Finish reading Chaper 2 of Spiva, rereading earlier secions as necessary. handou and fill in some missing deails! II. Higher derivaives. Also, read his

More information

Research Article On Double Summability of Double Conjugate Fourier Series

Research Article On Double Summability of Double Conjugate Fourier Series Inernaional Journal of Mahemaic and Mahemaical Science Volume 22, Aricle ID 4592, 5 page doi:.55/22/4592 Reearch Aricle On Double Summabiliy of Double Conjugae Fourier Serie H. K. Nigam and Kuum Sharma

More information

LECTURE 1: GENERALIZED RAY KNIGHT THEOREM FOR FINITE MARKOV CHAINS

LECTURE 1: GENERALIZED RAY KNIGHT THEOREM FOR FINITE MARKOV CHAINS LECTURE : GENERALIZED RAY KNIGHT THEOREM FOR FINITE MARKOV CHAINS We will work wih a coninuous ime reversible Markov chain X on a finie conneced sae space, wih generaor Lf(x = y q x,yf(y. (Recall ha q

More information

Example on p. 157

Example on p. 157 Example 2.5.3. Le where BV [, 1] = Example 2.5.3. on p. 157 { g : [, 1] C g() =, g() = g( + ) [, 1), var (g) = sup g( j+1 ) g( j ) he supremum is aken over all he pariions of [, 1] (1) : = < 1 < < n =

More information

ON FRACTIONAL ORNSTEIN-UHLENBECK PROCESSES

ON FRACTIONAL ORNSTEIN-UHLENBECK PROCESSES Communicaion on Sochaic Analyi Vol. 5, No. 1 211 121-133 Serial Publicaion www.erialpublicaion.com ON FRACTIONAL ORNSTEIN-UHLENBECK PROCESSES TERHI KAARAKKA AND PAAVO SALMINEN Abrac. In hi paper we udy

More information

CHAPTER 7. Definition and Properties. of Laplace Transforms

CHAPTER 7. Definition and Properties. of Laplace Transforms SERIES OF CLSS NOTES FOR 5-6 TO INTRODUCE LINER ND NONLINER PROBLEMS TO ENGINEERS, SCIENTISTS, ND PPLIED MTHEMTICINS DE CLSS NOTES COLLECTION OF HNDOUTS ON SCLR LINER ORDINRY DIFFERENTIL EQUTIONS (ODE")

More information

Vanishing Viscosity Method. There are another instructive and perhaps more natural discontinuous solutions of the conservation law

Vanishing Viscosity Method. There are another instructive and perhaps more natural discontinuous solutions of the conservation law Vanishing Viscosiy Mehod. There are anoher insrucive and perhaps more naural disconinuous soluions of he conservaion law (1 u +(q(u x 0, he so called vanishing viscosiy mehod. This mehod consiss in viewing

More information

Backward Stochastic Partial Differential Equations with Jumps and Application to Optimal Control of Random Jump Fields

Backward Stochastic Partial Differential Equations with Jumps and Application to Optimal Control of Random Jump Fields Backward Sochaic Parial Differenial Equaion wih Jump and Applicaion o Opimal Conrol of Random Jump Field Bern Økendal 1,2, Frank Proke 1, Tuheng Zhang 1,3 June 7, 25 Abrac We prove an exience and uniquene

More information

Utility maximization in incomplete markets

Utility maximization in incomplete markets Uiliy maximizaion in incomplee markes Marcel Ladkau 27.1.29 Conens 1 Inroducion and general seings 2 1.1 Marke model....................................... 2 1.2 Trading sraegy.....................................

More information

BSDE Approach to Non-Zero-Sum Stochastic Differential Games of Control and Stopping

BSDE Approach to Non-Zero-Sum Stochastic Differential Games of Control and Stopping BSDE Approach o Non-Zero-Sum Sochaic Differenial Game of Conrol and Sopping Ioanni Karaza INTECH Invemen Managemen One Palmer Square, Suie 441 Princeon, NJ 8542 ik@enhanced.com Qinghua Li Saiic Deparmen,

More information

Undetermined coefficients for local fractional differential equations

Undetermined coefficients for local fractional differential equations Available online a www.isr-publicaions.com/jmcs J. Mah. Compuer Sci. 16 (2016), 140 146 Research Aricle Undeermined coefficiens for local fracional differenial equaions Roshdi Khalil a,, Mohammed Al Horani

More information

MODULE 3 FUNCTION OF A RANDOM VARIABLE AND ITS DISTRIBUTION LECTURES PROBABILITY DISTRIBUTION OF A FUNCTION OF A RANDOM VARIABLE

MODULE 3 FUNCTION OF A RANDOM VARIABLE AND ITS DISTRIBUTION LECTURES PROBABILITY DISTRIBUTION OF A FUNCTION OF A RANDOM VARIABLE Topics MODULE 3 FUNCTION OF A RANDOM VARIABLE AND ITS DISTRIBUTION LECTURES 2-6 3. FUNCTION OF A RANDOM VARIABLE 3.2 PROBABILITY DISTRIBUTION OF A FUNCTION OF A RANDOM VARIABLE 3.3 EXPECTATION AND MOMENTS

More information

Approximation for Option Prices under Uncertain Volatility

Approximation for Option Prices under Uncertain Volatility SIAM J. FINANCIAL MATH. Vol. 5, pp. 360 383 c 014 Sociey for Indurial and Applied Mahemaic Approximaion for Opion Price under Uncerain Volailiy Jean-Pierre Fouque and Bin Ren Abrac. In hi paper, we udy

More information

Existence of Stepanov-like Square-mean Pseudo Almost Automorphic Solutions to Nonautonomous Stochastic Functional Evolution Equations

Existence of Stepanov-like Square-mean Pseudo Almost Automorphic Solutions to Nonautonomous Stochastic Functional Evolution Equations Exience of Sepanov-like Square-mean Peudo Almo Auomorphic Soluion o Nonauonomou Sochaic Funcional Evoluion Equaion Zuomao Yan Abrac We inroduce he concep of bi-quare-mean almo auomorphic funcion and Sepanov-like

More information

REPRESENTATION THEOREMS FOR BACKWARD STOCHASTIC DIFFERENTIAL EQUATIONS. BY JIN MA 1 AND JIANFENG ZHANG Purdue University and University of Minnesota

REPRESENTATION THEOREMS FOR BACKWARD STOCHASTIC DIFFERENTIAL EQUATIONS. BY JIN MA 1 AND JIANFENG ZHANG Purdue University and University of Minnesota The Annal of Applied Probabiliy 22, Vol. 12, No. 4, 139 1418 REPRESENTATION THEOREMS FOR BACKWARD STOCHASTIC DIFFERENTIAL EQUATIONS BY JIN MA 1 AND JIANFENG ZHANG Purdue Univeriy and Univeriy of Minneoa

More information

Discussion Session 2 Constant Acceleration/Relative Motion Week 03

Discussion Session 2 Constant Acceleration/Relative Motion Week 03 PHYS 100 Dicuion Seion Conan Acceleraion/Relaive Moion Week 03 The Plan Today you will work wih your group explore he idea of reference frame (i.e. relaive moion) and moion wih conan acceleraion. You ll

More information

Convergence of the gradient algorithm for linear regression models in the continuous and discrete time cases

Convergence of the gradient algorithm for linear regression models in the continuous and discrete time cases Convergence of he gradien algorihm for linear regreion model in he coninuou and dicree ime cae Lauren Praly To cie hi verion: Lauren Praly. Convergence of he gradien algorihm for linear regreion model

More information

Uniqueness of solutions to quadratic BSDEs. BSDEs with convex generators and unbounded terminal conditions

Uniqueness of solutions to quadratic BSDEs. BSDEs with convex generators and unbounded terminal conditions Recalls and basic resuls on BSDEs Uniqueness resul Links wih PDEs On he uniqueness of soluions o quadraic BSDEs wih convex generaors and unbounded erminal condiions IRMAR, Universié Rennes 1 Châeau de

More information

arxiv: v1 [math.pr] 19 Nov 2018

arxiv: v1 [math.pr] 19 Nov 2018 Muli-dimenional BSDE wih diagonal generaor driven by G-Brownian moion arxiv:1811.7773v1 [mah.pr] 19 Nov 218 Guomin Liu November 2, 218 Abrac In hi paper, we udy he well-poedne of muli-dimenional backward

More information

2. VECTORS. R Vectors are denoted by bold-face characters such as R, V, etc. The magnitude of a vector, such as R, is denoted as R, R, V

2. VECTORS. R Vectors are denoted by bold-face characters such as R, V, etc. The magnitude of a vector, such as R, is denoted as R, R, V ME 352 VETS 2. VETS Vecor algebra form he mahemaical foundaion for kinemaic and dnamic. Geomer of moion i a he hear of boh he kinemaic and dnamic of mechanical em. Vecor anali i he imehonored ool for decribing

More information

Elements of Mathematical Oncology. Franco Flandoli

Elements of Mathematical Oncology. Franco Flandoli Elemen of Mahemaical Oncology Franco Flandoli Conen Par. Sochaic Differenial Equaion, linear Parial Differenial Equaion and heir link 5 Chaper. Brownian moion and hea equaion 7. Inroducion 7. Simulaion

More information

u(t) Figure 1. Open loop control system

u(t) Figure 1. Open loop control system Open loop conrol v cloed loop feedbac conrol The nex wo figure preen he rucure of open loop and feedbac conrol yem Figure how an open loop conrol yem whoe funcion i o caue he oupu y o follow he reference

More information

The Asymptotic Behavior of Nonoscillatory Solutions of Some Nonlinear Dynamic Equations on Time Scales

The Asymptotic Behavior of Nonoscillatory Solutions of Some Nonlinear Dynamic Equations on Time Scales Advances in Dynamical Sysems and Applicaions. ISSN 0973-5321 Volume 1 Number 1 (2006, pp. 103 112 c Research India Publicaions hp://www.ripublicaion.com/adsa.hm The Asympoic Behavior of Nonoscillaory Soluions

More information

Average Case Lower Bounds for Monotone Switching Networks

Average Case Lower Bounds for Monotone Switching Networks Average Cae Lower Bound for Monoone Swiching Nework Yuval Filmu, Toniann Piai, Rober Robere, Sephen Cook Deparmen of Compuer Science Univeriy of Torono Monoone Compuaion (Refreher) Monoone circui were

More information

CHAPTER. Forced Equations and Systems { } ( ) ( ) 8.1 The Laplace Transform and Its Inverse. Transforms from the Definition.

CHAPTER. Forced Equations and Systems { } ( ) ( ) 8.1 The Laplace Transform and Its Inverse. Transforms from the Definition. CHAPTER 8 Forced Equaion and Syem 8 The aplace Tranform and I Invere Tranform from he Definiion 5 5 = b b {} 5 = 5e d = lim5 e = ( ) b {} = e d = lim e + e d b = (inegraion by par) = = = = b b ( ) ( )

More information

L p -L q -Time decay estimate for solution of the Cauchy problem for hyperbolic partial differential equations of linear thermoelasticity

L p -L q -Time decay estimate for solution of the Cauchy problem for hyperbolic partial differential equations of linear thermoelasticity ANNALES POLONICI MATHEMATICI LIV.2 99) L p -L q -Time decay esimae for soluion of he Cauchy problem for hyperbolic parial differenial equaions of linear hermoelasiciy by Jerzy Gawinecki Warszawa) Absrac.

More information

Dynamic Systems and Applications 16 (2007) BACKWARD STOCHASTIC DIFFERENTIAL INCLUSIONS 1. INTRODUCTION. x t + t

Dynamic Systems and Applications 16 (2007) BACKWARD STOCHASTIC DIFFERENTIAL INCLUSIONS 1. INTRODUCTION. x t + t Dynamic Syem and Applicaion 16 (7) 11-14 BACKWARD STOCHASTIC DIFFERENTIAL INCLUSIONS MICHA L KISIELEWICZ Faculy of Mahemaic, Compuer Science and Economeric, Univeriy of Zielona Góra, Podgórna 5, 65 46

More information

Spectral gaps for the O-U/Stochastic heat processes on path space over a Riemannian manifold with boundary

Spectral gaps for the O-U/Stochastic heat processes on path space over a Riemannian manifold with boundary arxiv:181.186v1 [mah.pr] 5 Dec 18 ec1 Specral gap for he O-U/Sochaic hea procee on pah pace over a Riemannian manifold wih boundary Bo Wu School of Mahemaical Science, Fudan Univeriy, Shanghai 433, China

More information

Lower and Upper Approximation of Fuzzy Ideals in a Semiring

Lower and Upper Approximation of Fuzzy Ideals in a Semiring nernaional Journal of Scienific & Engineering eearch, Volume 3, ue, January-0 SSN 9-558 Lower and Upper Approximaion of Fuzzy deal in a Semiring G Senhil Kumar, V Selvan Abrac n hi paper, we inroduce he

More information

arxiv: v1 [math.pr] 25 Jul 2017

arxiv: v1 [math.pr] 25 Jul 2017 COUPLING AND A GENERALISED POLICY ITERATION ALGORITHM IN CONTINUOUS TIME SAUL D. JACKA, ALEKSANDAR MIJATOVIĆ, AND DEJAN ŠIRAJ arxiv:177.7834v1 [mah.pr] 25 Jul 217 Abrac. We analye a verion of he policy

More information

Stepanov-like Pseudo Almost Automorphic. Solutions to Nonautonomous Neutral. Partial Evolution Equations

Stepanov-like Pseudo Almost Automorphic. Solutions to Nonautonomous Neutral. Partial Evolution Equations Journal of Applied Mahemaic & Bioinformaic, vol.2, no.3, 2012, 193-211 ISSN: 1792-6602 (prin), 1792-6939 (online) Scienpre Ld, 2012 Sepanov-like Peudo Almo Auomorphic Soluion o Nonauonomou Neural Parial

More information