ON FRACTIONAL ORNSTEIN-UHLENBECK PROCESSES
|
|
- Priscilla Kennedy
- 5 years ago
- Views:
Transcription
1 Communicaion on Sochaic Analyi Vol. 5, No Serial Publicaion ON FRACTIONAL ORNSTEIN-UHLENBECK PROCESSES TERHI KAARAKKA AND PAAVO SALMINEN Abrac. In hi paper we udy Doob ranform of fracional Brownian moion FBM. I i well known ha Doob ranform of andard Brownian moion i idenical in law wih he Ornein-Uhlenbeck diffuion defined a he aionary oluion of he ochaic Langevin equaion where he driving proce i a Brownian moion. I i alo known ha Doob ranform of FBM and he proce obained from he Langevin equaion wih FBM a he driving proce are differen. However, alo he fir one of hee can be decribed a a oluion of a Langevin equaion bu now wih ome oher driving proce han FBM. We are mainly inereed in he properie of hi new driving proce denoed Y 1. We alo udy he oluion of he Langevin equaion wih Y 1 a he driving proce. Moreover, we how ha he covariance of Y 1 grow linearly; hence, in hi repec Y 1 i more like a andard Brownian moion han a FBM. In fac, i i proved ha a properly caled verion of Y 1 converge weakly o Brownian moion. 1. Inroducion I i well known ha he Ornein-Uhlenbeck diffuion U = {U ; } can be conruced a he unique rong oluion of he Langevin SDE du = αu d + db, 1.1 where α > and B = {B : } i a andard Brownian moion iniiaed from. The oluion of 1.1 can be expreed a U = e x α + e α db, 1.2 where x i he random iniial value of U independen of B. Leing B = {B : } be anoher andard Brownian moion iniiaed from and independen of B. Inroduce for R { B,, B := B,. I i eaily een ha ξ := e α d B Received Mahemaic Subjec Claificaion. 6G15, 6H5, 6G18. Key word and phrae. Fracional Brownian moion, fracional Ornein-Uhlenbeck proce, long range dependence, hor range dependence, covariance kernel, weak convergence. 121
2 122 TERHI KAARAKKA AND PAAVO SALMINEN i a normally diribued random variable wih mean and variance 1/2α. Chooing x = ξ in 1.2 we may wrie he proce wih R a U = e α e α d B and hi decribe a aionary oluion of 1.1. There i alo anoher well known conrucion of he Ornein-Uhlenbeck diffuion. Thi i due o Doob [5] and expree he aionary Ornein-Uhlenbeck diffuion U wih ime axi he whole R a a deerminiic ime change of a andard Brownian moion: U = e α B a, R, 1.3 where α > and a := e 2α /2α. The covariance of U i eaily obained from 1.3 E U U = 1 2α e α,. 1.4 In hi noe we udy fracional Ornein-Uhlenbeck procee. Thee are procee conruced a U above bu now he Brownian moion i replaced wih he fracional Brownian moion FBM. I i known ha he proce obained a he oluion of he Langevin SDE wih FBM a he driving proce doe no coincide wih he proce obained a Doob ranform of FBM. In Cheridio e al. [3] i i proved ha he covariance of he former one behave like he covariance of he incremen proce of FBM. In paricular, if he Hur parameer H i bigger han 1/2 he proce i long range dependen. On he oher hand, he covariance of Doob ranform 1 of FBM decay exponenially and, hence, he proce i hor range dependen for all value of H, 1. Our main conribuion in hi paper i o exrac from Doob ranform he driving proce, o udy i properie and ue i in he Langevin SDE o generae new kind of fracional Ornein-Uhlenbeck procee. In he nex ecion we dicu he baic properie of FBM imporan for our purpoe. To make he paper more readable, we alo recall ome reul from [3]. In he main ecion of he paper he new driving proce i conruced and he oluion of he aociaed Langevin SDE i inroduced. The covariance of he driving proce and alo he covariance of he oluion have kernel repreenaion in cae H > 1/2. I i proved hen ha he driving proce and he oluion are hor range dependen. Moreover, i i een ha i i poible o cale he driving proce o ha i converge weakly o a Brownian moion a he caling parameer end o infiniy. 2. Preliminarie 2.1. Fracional Brownian moion. Le Z = {Z : } be a fracional Brownian moion, FBM, wih elf-imilariy or Hur parameer H, 1, ha i, Z i a cenered Gauian proce wih he covariance funcion EZ Z = 1 2H + 2H 2H In [3] hi ranform i called Lamperi ranform ee Lamperi [9].
3 ON FRACTIONAL ORNSTEIN-UHLENBECK PROCESSES 123 Noice ha EZ 2 = and EZ 2 1 = 1, and, hence, in paricular Z =. Uing Kolmogorov coninuiy crierion i can be proved ha Z ha a coninuou verion; herefore, we ake Z o be coninuou. In fac, Z i locally Hölder coninuou of exponen α for all α < H. Fracional Brownian moion i H-elf-imilar in he ene {Z α : } d = {α H Z : } for all α >, 2.2 where d = mean ha he righ hand ide and he lef hand ide are idenical in law. Thi follow from 2.1 becaue he covariance funcion deermine a mean zero Gauian diribuion uniquely. Moreover, from 2.1, for 2 > 1 > 2 > 1 E Z 2 Z 1 Z 2 Z 1 = H 1 1 2H 2 2 2H H, and, conequenly, he incremen of Z are poiively correlaed if H > 1/2, negaively correlaed if H < 1/2. Conider now he incremen proce of Z defined a I Z := {Z n+1 Z n : n =, 1, 2,... }. I i eaily een ha I Z i a aionary econd order ochaic proce and, from 2.3, ρ IZ n := E Z 1 Z n+1 Z n = H2H 1n 21 H + On 2H Nex we recall he following definiion ee Beran [1] p. 6 and 42. Definiion 2.1. Le X = {X n : n =, 1, 2,... } be a aionary econd order ochaic proce wih mean zero and e ρ X n := E X i X i+n, where i i an arbirary non-negaive ineger by aionariy, ρ X n doe no depend on i. Then X i called 1 long range dependen if here exi α, 1 and a conan C > uch ha lim n ρ X n/c n α = 1, 2 hor range dependen if lim k k n= ρ Xn exi. From Definiion 2.1 and formula 2.4 i follow ha he incremen proce I Z of he fracional Brownian moion Z i long range dependen if H > 1/2, hor range dependen if H < 1/ Fracional Ornein-Uhlenbeck procee of he fir kind. We replace now he Brownian moion B in 1.1 wih he fracional Brownian moion Z, and conider he SDE du Z,α = αu Z,α d + dz. 2.5
4 124 TERHI KAARAKKA AND PAAVO SALMINEN Analogouly wih 1.2, he oluion can be expreed a U Z,α x = e x α + e α dz 2.6 wih ome random iniial value x. The ochaic inegral exi pahwie a a Riemann-Sielje inegral ee Cheridio e al. [3] and i hold e αu dz u = e α Z αe αu Z u du. 2.7 Furhermore, we inroduce Ẑ, a wo-ided fracional Brownian moion hrough, and conider ξ := e α dẑ. 2.8 To ee ha ξ i well-defined noice fir ha we may exend 2.7 for negaive value on e αu dẑu = e α Ẑ αe αu Ẑ u du. 2.9 To prove ha he limi of he r.h.. of 2.9 a exi we remark ha { } Z o := 2H Ẑ 1/, > i a cenered { Gauian } proce wih he ame covariance kernel } a FBM. Conequenly, Z o, > i idenical in law wih {Ẑ, > and i hold Conequenly lim + Zo = lim Ẑ = + a.. lim Ẑ = lim 2H + 2H Ẑ 1/ = lim + Zo =. 2.1 Hence he limi of he r.h.. of 2.9 exi and ξ i well-defined. The fac lim Ẑ 2H = can alo be een a he rong law of large number of FBM and proved via he Borel-Canelli lemma. For oher proof ha ξ i well-defined, we refer o Garrido- Aienza e al. [6] and Malowki and Schmalfu [1]. Taking in 2.6 x = ξ we wrie he oluion in he form = e α e α dẑ U Z,α Since he incremen of Z are aionary and he ochaic inegral i a Riemann- Sielje inegral i follow ha he proce U Z,α i aionary. The aionary probabiliy diribuion, i.e., he diribuion of ξ, i normal wih mean and variance ee Cheridio e al. [3] Γ2H + 1 inπh π α 2H + x 1 2H 1 + x 2 dx.
5 ON FRACTIONAL ORNSTEIN-UHLENBECK PROCESSES 125 In cae H = 1/2, he variance equal 1/2α, a i hould. Definiion 2.2. The proce U Z,α given in 2.11 i called he aionary fracional Ornein-Uhlenbeck proce of he fir kind. Nex we recall he aympoic formula for he covariance of U Z,α aken from [3] Theorem 2.3., which i hen applied o derive he range dependence properie of U Z,α. Propoiion 2.3. Le H, , 1] and N = 1, 2,.... Then for fixed R and, EU Z,α U Z,α + = 1 2 N 2n 1 α 2n 2H k 2H 2n + O 2H 2N n=1 k= Propoiion 2.4. The aionary equence {U n Z,α : n = 1, 2,... } and, equivalenly, he proce U Z,α i long range dependen when H > 1/2, and hor range dependen when H < 1/2. Proof. The leading erm of he um in 2.12 i of he order 2H 2. Conequenly, ρ U Z,αn = n 2H 2, n= n= EU Z,α i which, by Definiion 2.1, give he claim. U Z,α i+n 3. Fracional Ornein-Uhlenbeck Procee of he Second Kind 3.1. Definiion and ome baic properie. In hi ecion we derive from Doob ranform of Z a Gauian proce wih aionary incremen. Thi proce i ued a he driving proce in he Langevin SDE. In hi way we conruc a new family of Gauian procee which we call fracional Ornein-Uhlenbeck procee of he econd kind. Thi erminology can be juified by oberving ha in he andard Brownian cae, i.e., H = 1/2, hee procee coincide wih he Ornein-Uhlenbeck diffuion; a alo do he fracional Ornein-Uhlenbeck procee of he fir kind inroduced in Definiion 2.2. Doob ranform of Z i he proce given by n= X D,α := e α Z a, R, 3.1 where α > and a := a, H := H e α/h /α. The covariance of X can be compued from 2.1. Indeed, for > we have EX D,α = 1 2 X D,α 3.2 2H H e α + e α e α 1 e α 2H H. α Since X D,α i a Gauian proce i follow herefrom ha i i aionary. In paricular, uing he elf-imilariy propery of he fracional Brownian moion ee 2.2 i i een ha X D,α i for all normally diribued wih mean and variance H/α 2H.
6 126 TERHI KAARAKKA AND PAAVO SALMINEN Propoiion 3.1. The aionary proce {X D,α : R} i, for all H, 1, hor range dependen. Proof. Formula 3.2 yield for a fixed a and hi implie he reul. EX D,α X D,α = O exp α 1 H/H, 3.3 Conider now he proce Y α defined via Y α := e α dz a, 3.4 where he inegral i a pahwie Riemann-Silje inegral cf. Secion 2.2. I i poible o repreen Y α a Volerra proce w.r. he Brownian moion, by uing e.g. L. Decreuefond and A.S. Üünel [4]. In cae H = 1/2, Y α i, for all α, by Lévy heorem a andard Brownian moion. Uing Y α he proce X D,α can be viewed a he oluion of he equaion dx D,α wih he random iniial value X,α = Z a = Z H α Propoiion 3.2. For all α >, we have = αx D,α d + dy α, 3.5 N, H α 2H. {α H Y α /α : } d = {Y 1 : }. 3.6 Moreover, he proce Y α ha aionary incremen. Proof. Inegraing by par we obain Y α = e α dz a = e α Z a Z a + α e α Z a d 3.7 Uing 2.2 he elf-imilary propery of FBM he claimed ideniy in law 3.6 follow from 3.7. Moreover, he equaliy E Y α 2 Y α 1 Y α 2 Y α 1 = E Y α 2 +h Y α 1 +h Y α 2 +h Y α 1 +h hold for 2 > 1 > 2 > 1 > and h > again by he elf imilariy of FBM and exploiing 3.7. Conequenly, he incremen of Y α are aionary. Inpired by Propoiion 3.2, we conider he Langevin SDE wih Y 1 a he driving proce: du D,γ = γu D,γ d + dy 1, γ >. 3.8 The oluion can be expreed cf a U D,γ = e γ e γ dŷ 1 = e γ e γ 1 dz a, γ >, 3.9 where Ŷ 1 and for he wo ided Y 1 proce and α = 1 in a. To how ha a ochaic inegral erm make ene alo for γ, 1] recall fir ha for all β < H lim Z / β = a.. 3.1
7 ON FRACTIONAL ORNSTEIN-UHLENBECK PROCESSES 127 becaue Z i Hölder coninuou of order β < H. Nex for T < uing parial inegraion T e γ 1u dz au = e γ 1 Z a e γ 1T Z at γ 1 T e γ 1u Z au du, and by 3.1 he righ hand ide ha a well defined limi a T. Since he incremen proce of Y 1 i aionary i follow ha U D,γ i aionary and, herefore, we have well juified he following Definiion 3.3. The proce U D,γ defined in 3.9 or, equivalenly, via he SDE 3.8 i called he fracional Ornein-Uhlenbeck proce of he econd kind. We conclude hi ecion by characerizing he Hölder coninuiy of Y α and U D,γ. The reul hold for more general ochaic inegral wih repec o Z ee Zähle [12], bu he following imple proof in our pecial cae i perhap worhwhile o preen here. Propoiion 3.4. The ample pah of Y α and U D,γ are locally Hölder coninuou of order β < H. Proof. From 3.5 we have Y α = X D,α X D,α + αx D,α d Conequenly, Y α i coninuou and he Hölder coninuiy properie of Y α and X D,α are he ame. Hence, le T > be given and conider for, < T and β > X D,α X D,α β = e α Z a e α Z a Z a Z a β K T a a β + C T, where K T and C T are random conan which do no depend on and. The claim follow now from he fac ha he pah of FBM are locally Hölder coninuou of order β < H. Similarly, for he proce U D,γ we have, e.g., for > U D,γ e γ U D,γ = Y 1 γe γ e γ Y 1 d, and i follow ha alo U D,γ i Hölder coninuou of order β < H Kernel repreenaion of covariance and hor range dependence. We make now he following aumpion valid hroughou he re of he paper 1/2 < H < 1. In hi cae, a i eaily checked, he covariance of he fracional Brownian moion ha for 2 > 1 and 2 > 1 he kernel repreenaion E Z 2 Z 1 Z 2 Z 1 = H2H 1 u v 2H 2 du dv. In he nex propoiion we derive an analogou repreenaion for he proce Y 1. The reul i formulaed for all value of α >.
8 128 TERHI KAARAKKA AND PAAVO SALMINEN Propoiion 3.5. The covariance of Y α wih 1/2 < H < 1 ha he kernel repreenaion E Y α 2 Y α 1 Y α Y α 1 = Cα, H where 2 > 1, 2 > 1, and α 21 H Cα, H := H2H 1. H The kernel 1 1 e α1 Hu v/h du dv, e αu v/h 21 H e α1 Hu v/h r α,h u, v := Cα, H e αu v/h 21 H i ymmeric, i.e., r α,h u, v = r α,h v, u for all u, v R. Proof. Recall he formula ee Gripenberg and Norro [7] Propoiion 2.2 E fdz gdz R R = H2H 1 fg 2H 2 dd, 3.14 where 1/2 < H < 1 and f, g L 2 R L 1 R. Since H Y α H a := e α dz a = H dz, α a he claim follow by a raighforward applicaion of R Remark 3.6. Noice ha he kernel r α,h i in L 2 [, T ] [, T ] if and only if H > 3/4. Conequenly, for Y 1 we have imilar abolue coninuiy properie a for fracional Brownian moion ee Cheridio [2]. Namely, he meaure induced by he proce {B + Y 1 : }, where Y 1 and he Brownian moion B are aumed o be independen, i aboluely coninuou wih repec o he Wiener meaure. For he nex reul, recall from Propoiion 3.2 ha he incremen of Y α are aionary. Corollary 3.7. The incremen of Y α are poiively correlaed. The incremen proce I Y := {Y α n+1 Y n α ; n =, 1,...} i aionary and hor range dependen. Proof. From 3.12 i follow immediaely ha he incremen are poiively correlaed. Of coure, we may alo deduce from 3.12 he aionariy of he incremen of Y α. To how ha I Y i hor range dependen conider n+1 E Y α 1 Y α n+1 Y n α = du dv r α,h u, v = Cα, He α1 Hn/H du n R dv e α1 Hu v/h 1 e αn/h e αu v/h 2H 1.
9 ON FRACTIONAL ORNSTEIN-UHLENBECK PROCESSES 129 The inegral erm ha a poiive finie limi a n. Indeed, Lebegue dominaed convergence heorem yield lim n Conequenly, and, hence, du ρ Y αn := E compleing he proof. lim E N dv e α1 Hu v/h 1 e αn/h e αu v/h 2H 1 = du dv e α1 Hu v/h. Y α 1 Y α n+1 Y n α = O e α1 Hn/H 3.15 Y α N Y α 1 = ρ Y αn < n= Nex we udy he aympoic behaviour of he variance and covariance of Y α. For hi, i i pracical o rewrie he ymmeric kernel r α,h in 3.13 a wih r α,h, = k α,h k α,h x := Cα, H e α1 Hx/H 1 e αx/h 2H Propoiion 3.8. The following formula hold: E Y α Y α 2 = 2 x k α,h x dx, 3.18 E Moreover, and Y α Y α = + α lim EY Y α x k α,h x dx 3.19 x k α,h x dx xk α,h x dx. E Y α 2 = O a, 3.2 = k α,h xdx + Proof. We apply 3.12 o obain 3.18: E Y α Y α 2 = du = 2 = 2 du u x k α,h xdx dv r α,h u, v dv r α,h u, v x k α,h x dx.
10 13 TERHI KAARAKKA AND PAAVO SALMINEN Puing here = and uing k α,h x dx < and x k α,h x dx < yield 3.2. Furhermore, raighforward compuaion produce formula 3.19 from Likewie formula 3.21 i obain fairly eaily. We omi he deail. Remark 3.9. The hor range dependence propery of Y α alo follow from 3.21 ince recall ha Y α = ρ Y αn = lim E Y α N Y α 1 < +. N n= Propoiion 3.1. The covariance of U D,γ ha he kernel repreenaion E U D,γ U D,γ = H2H 1H 2H 2 e γ+ e γ 1+ 1 H u+v du dv. e u/h e v/h 21 H Proof. A in he proof of Propoiion 3.5, we ue alo here formula However, now we need an exended verion due o Pipira and Taqqu [11] aing ha 3.14 hold rue for funcion f and g aifying f g 2H 2 dd < Conider R R U D,γ = e γ e γ 1 dz a 3.23 a = H γ 1H e γ γ 1H dz, where we have made he change of variable = He /H. To check ha condiion 3.22 i valid for f = g = γ 1H 1,a i i enough o conider a a = pr γ 1H p r 2H 2 dpdr = 2a 2γH = 2a 2γH = a2γh γh a ua v γ 1H a u a v 2H 2 dudv u du u γ 1H dv v γ 1H u v 2H 2 du u γ 1H u γ+1h 1 Bea1 + γ 1H, 2H 1 Bea1 + γ 1H, 2H 1 <,
11 ON FRACTIONAL ORNSTEIN-UHLENBECK PROCESSES 131 where Bea and for he Bea funcion, i.e. Beaa, b = x a 1 1 x b 1 dx, a >, b >. To verify he claimed kernel repreenaion i now a raighforward compuaion uing formula Recall from Corollary 3.7 ha he incremen proce of Y 1 i hor range dependen, and ha if Y 1 i ued a he driving proce in he Langevin equaion he oluion i he proce U D,γ. In he nex propoiion we how ha alo U D,γ i hor range dependen. Formula 3.24 can be compared wih he correponding formula 3.3 for X D,α. In fac, 3.3 wih α = 1 i 3.24 wih γ = 1, a i hould. Propoiion The rae of decay of he covariance of U D,γ i exponenial. More preciely, E U D,γ = O exp min{γ, 1 H/H}, a U D,γ In paricular, he aionary proce U D,γ i hor range dependen. Proof. Wihou lo of generaliy, we may ake = and, hence, conider E U D,γ U D,γ = H2H 1H 2H 2 e γ = 1 + 2, where, for ome fixed T >, and Clearly, 1 := H2H 1H 2H 2 e γ T 2 := H2H 1H 2H 2 e γ T 1 = O exp γ For he inegral erm in 2 we have T du dv e γ 1+ 1 H u+v e u/h e v/h 21 H = T e γ 1+ 1 H u+v du dv e u/h e v/h 21 H e γ 1+ 1 H u+v du dv e u/h e v/h 21 H e γ 1+ 1 H u+v du dv e u/h e v/h. 21 H a +. du dv eγ+1 1 H u e γ 1+ 1 H v. 1 e v u/h 21 H For u, v T,, 1 1 e v u/h 21 H 1 e T/H 21 H, and, conequenly, formula 3.24 hold.
12 132 TERHI KAARAKKA AND PAAVO SALMINEN 3.3. Weak convergence of Y 1 o Brownian moion. In Propoiion 3.8 i i proved ha he growh of he variance of Y 1 i aympoically linear a + ee 3.2. Thi ugge ha Y 1, when properly caled, behave aympoically like a andard Brownian moion. We give he precie aemen in he nex propoiion formulaed for arbirary α >. Propoiion For a > define Z a,α := 1 a Y α a,, and le B = {B : } denoe a andard Brownian moion ared from. Then a a + where weakly {Z a,α : } weakly {σb : }, and for weak convergence in he pace of coninuou funcion and σ = σα, H i a non-random quaniy depending only on α and H ee Proof. We how fir ha he finie dimenional diribuion of Z a,α converge o he finie dimenional diribuion of σb. Since Z a,α i a Gauian proce wih mean zero i i enough o verify he convergence of he covariance funcion. From 3.19 in Propoiion 3.8 we have for > E Z a,α Z a,α = 1 a E Y α a Y a α a = 1 a a x k α,h x dx + a x k α,h x dx a a a a xk α,h x dx wih k α,h defined in Leing here a + yield, afer ome imple compuaion, lim E Z a,α Z a,α = 2 k α,h x dx = κα, H, a where κα, H := 2 Cα, H H Bea1 H, 2H 1. α Since EB B = for > we have proved he convergence of finie dimenional diribuion of Z a,α of he finie dimenional diribuion of σb wih σ = σα, H = κα, H To prove ighne, i i enough o verify ee, e.g., Lamperi [8] ha here exi a conan C which migh depend on α and H uch ha for all a > and > 2 := E Z a,α Z a,α C.
13 ON FRACTIONAL ORNSTEIN-UHLENBECK PROCESSES 133 We have by formula 3.18 in Propoiion 3.8 = 1 2 a E Y α a Y a α = 2 1 a a a x k α,h x dx C wih, e.g., C = 2 k α,h x dx. Thi complee he proof. Acknowledgemen. We hank Zhan Shi, Eko Valkeila and Marc Yor for dicuion and commen on an early verion of hi paper. Thank alo o he anonymou referee for commen which improved he paper. Reference 1. Beran, J.: Saiic for Long Memory Procee, Chapman & Hall, New York, Cheridio, P.: Repreenaion of Gauian meaure ha are equivalen o Wiener meaure. In Azéma J., Émery M., Ledoux M. and Yor M., edior Séminaire de Probabilié XXXVII number 1832 in Springer Lecure Noe in Mahemaic, 81 89, Berlin, Heidelberg, New York, Cheridio, P., Kawaguchi, H., and Maejima, M.: Fracional Ornein-Uhlenbeck procee, Elecr. J. Prob Decreuefond, L. and Üünel, A.S.: Sochaic analyi of he fracional Brownian moion. Poenial Analyi Doob, J. L.: The Brownian movemen and ochaic equaion, Ann. Mah Garrido-Aienza, M. J., Kloeden, P., and Neuenkirch, A.: Dicreizaion of aionary oluion of ochaic yem driven by fracional Brownian moion, Appl. Mah. Opim Gripenberg, G. and Norro, I.: On he predicion of fracional Brownian moion, J. Appl. Probab Lamperi, J.: On convergence of ochaic procee, Tranacion, Amer. Mah. Soc Lamperi, J.: Semi-able Markov procee, Z. Wahrcheinlichkeiheorie verw. Gebiee , Univeriy of California Pre, Berkeley. 1. Malowki, B. and Schmalfu, B.: Random dynamical yem and aionary oluion of differenial equaion driven by he fracional Brownian moion, Proc. Soc. Anal. and Appl Pipira, V. and Taqqu, M.: Inegraion queion relaed o fracional Brownian moion, Probab. Theory Rela. Field Zähle, M.: Inegraion wih repec o fracal funcion and ochaic calculu, I., Probab. Theory Relaed Field Terhi Kaarakka: Deparmen of Mahemaic, Tampere Univeriy of Technology, FIN-3311 Tampere, Finland addre: erhi.kaarakka@u.fi Paavo Salminen: Mahemaical Deparmen, Åbo Akademi Univeriy, FIN-25 Åbo, Finland addre: phalmin@abo.fi
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 informationMathematische 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 informationExplicit 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 informationIntroduction 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 informationU T,0. t = X t t T X T. (1)
Gauian bridge Dario Gabarra 1, ommi Soinen 2, and Eko Valkeila 3 1 Deparmen of Mahemaic and Saiic, PO Box 68, 14 Univeriy of Helinki,Finland dariogabarra@rnihelinkifi 2 Deparmen of Mahemaic and Saiic,
More informationParameter Estimation for Fractional Ornstein-Uhlenbeck Processes: Non-Ergodic Case
Parameer Eimaion for Fracional Ornein-Uhlenbeck Procee: Non-Ergodic Cae R. Belfadli 1, K. E-Sebaiy and Y. Ouknine 3 1 Polydiciplinary Faculy of Taroudan, Univeriy Ibn Zohr, Taroudan, Morocco. Iniu de Mahémaique
More information6.8 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 informationESTIMATES 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 informationChapter 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 informationOn 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 informationRough 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 informationGeneralized 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 informationChapter 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, 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 informationFractional Brownian Bridge Measures and Their Integration by Parts Formula
Journal of Mahemaical Reearch wih Applicaion Jul., 218, Vol. 38, No. 4, pp. 418 426 DOI:1.377/j.in:295-2651.218.4.9 Hp://jmre.lu.eu.cn Fracional Brownian Brige Meaure an Their Inegraion by Par Formula
More informationStability 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 informationLaplace 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 informationEECE 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 informationFLAT 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 information18.03SC 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 informationAlgorithmic 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 informationResearch 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 informationMon Apr 2: Laplace transform and initial value problems like we studied in Chapter 5
Mah 225-4 Week 2 April 2-6 coninue.-.3; alo cover par of.4-.5, EP 7.6 Mon Apr 2:.-.3 Laplace ranform and iniial value problem like we udied in Chaper 5 Announcemen: Warm-up Exercie: Recall, The Laplace
More informationOn a Fractional Stochastic Landau-Ginzburg Equation
Applied Mahemaical Sciences, Vol. 4, 1, no. 7, 317-35 On a Fracional Sochasic Landau-Ginzburg Equaion Nguyen Tien Dung Deparmen of Mahemaics, FPT Universiy 15B Pham Hung Sree, Hanoi, Vienam dungn@fp.edu.vn
More informationFIXED 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 information1 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 informationResearch Article An Upper Bound on the Critical Value β Involved in the Blasius Problem
Hindawi Publihing Corporaion Journal of Inequaliie and Applicaion Volume 2010, Aricle ID 960365, 6 page doi:10.1155/2010/960365 Reearch Aricle An Upper Bound on he Criical Value Involved in he Blaiu Problem
More informationMeasure-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 informationResearch 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 informationCHAPTER 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 informationOn 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 informationEE Control Systems LECTURE 2
Copyrigh F.L. Lewi 999 All righ reerved EE 434 - Conrol Syem LECTURE REVIEW OF LAPLACE TRANSFORM LAPLACE TRANSFORM The Laplace ranform i very ueful in analyi and deign for yem ha are linear and ime-invarian
More informationTo 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 informationChapter 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 informationThe Residual Graph. 11 Augmenting Path Algorithms. Augmenting Path Algorithm. Augmenting Path Algorithm
Augmening Pah Algorihm Greedy-algorihm: ar wih f (e) = everywhere find an - pah wih f (e) < c(e) on every edge augmen flow along he pah repea a long a poible The Reidual Graph From he graph G = (V, E,
More informationAn 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 informationARTIFICIAL INTELLIGENCE. Markov decision processes
INFOB2KI 2017-2018 Urech Univeriy The Neherland ARTIFICIAL INTELLIGENCE Markov deciion procee Lecurer: Silja Renooij Thee lide are par of he INFOB2KI Coure Noe available from www.c.uu.nl/doc/vakken/b2ki/chema.hml
More informationPathwise description of dynamic pitchfork bifurcations with additive noise
Pahwie decripion of dynamic pichfork bifurcaion wih addiive noie Nil Berglund and Barbara Genz Abrac The low drif (wih peed ) of a parameer hrough a pichfork bifurcaion poin, known a he dynamic pichfork
More informationFlow networks. Flow Networks. A flow on a network. Flow networks. The maximum-flow problem. Introduction to Algorithms, Lecture 22 December 5, 2001
CS 545 Flow Nework lon Efra Slide courey of Charle Leieron wih mall change by Carola Wenk Flow nework Definiion. flow nework i a direced graph G = (V, E) wih wo diinguihed verice: a ource and a ink. Each
More informationResearch Article Stochastic Analysis of Gaussian Processes via Fredholm Representation
Inernaional Journal of Sochaic Analyi Volume 216, Aricle ID 8694365, 15 page hp://dx.doi.org/1.1155/216/8694365 Reearch Aricle Sochaic Analyi of Gauian Procee via Fredholm Repreenaion ommi Soinen 1 and
More informationCHAPTER. 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 informationProblem Set If all directed edges in a network have distinct capacities, then there is a unique maximum flow.
CSE 202: Deign and Analyi of Algorihm Winer 2013 Problem Se 3 Inrucor: Kamalika Chaudhuri Due on: Tue. Feb 26, 2013 Inrucion For your proof, you may ue any lower bound, algorihm or daa rucure from he ex
More informationCSC 364S Notes University of Toronto, Spring, The networks we will consider are directed graphs, where each edge has associated with it
CSC 36S Noe Univeriy of Torono, Spring, 2003 Flow Algorihm The nework we will conider are direced graph, where each edge ha aociaed wih i a nonnegaive capaciy. The inuiion i ha if edge (u; v) ha capaciy
More informationApproximate 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 informationarxiv: 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 informationLet. 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 informationCHAPTER 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 informationThe Residual Graph. 12 Augmenting Path Algorithms. Augmenting Path Algorithm. Augmenting Path Algorithm
Augmening Pah Algorihm Greedy-algorihm: ar wih f (e) = everywhere find an - pah wih f (e) < c(e) on every edge augmen flow along he pah repea a long a poible The Reidual Graph From he graph G = (V, E,
More informationThe 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 informationarxiv: v1 [math.ca] 15 Nov 2016
arxiv:6.599v [mah.ca] 5 Nov 26 Counerexamples on Jumarie s hree basic fracional calculus formulae for non-differeniable coninuous funcions Cheng-shi Liu Deparmen of Mahemaics Norheas Peroleum Universiy
More informationFractional Brownian motion and applications Part I: fractional Brownian motion in Finance
Fracional Brownian moion and applicaion Par I: fracional Brownian moion in Finance INTRODUCTION The fbm i an exenion of he claical Brownian moion ha allow i dijoin incremen o be correlaed. Moivaed by empirical
More informationFUZZY 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 informationIntroduction 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 informationCS4445/9544 Analysis of Algorithms II Solution for Assignment 1
Conider he following flow nework CS444/944 Analyi of Algorihm II Soluion for Aignmen (0 mark) In he following nework a minimum cu ha capaciy 0 Eiher prove ha hi aemen i rue, or how ha i i fale Uing he
More informationRandomized 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 informationBackward 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 informationTime Varying Multiserver Queues. W. A. Massey. Murray Hill, NJ Abstract
Waiing Time Aympoic for Time Varying Mulierver ueue wih Abonmen Rerial A. Melbaum Technion Iniue Haifa, 3 ISRAEL avim@x.echnion.ac.il M. I. Reiman Bell Lab, Lucen Technologie Murray Hill, NJ 7974 U.S.A.
More informationConvergence 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 informationANSWERS TO ODD NUMBERED EXERCISES IN CHAPTER
John Riley 6 December 200 NWER TO ODD NUMBERED EXERCIE IN CHPTER 7 ecion 7 Exercie 7-: m m uppoe ˆ, m=,, M (a For M = 2, i i eay o how ha I implie I From I, for any probabiliy vecor ( p, p 2, 2 2 ˆ ( p,
More informationDiscussion 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 informationFractional Method of Characteristics for Fractional Partial Differential Equations
Fracional Mehod of Characerisics for Fracional Parial Differenial Equaions Guo-cheng Wu* Modern Teile Insiue, Donghua Universiy, 188 Yan-an ilu Road, Shanghai 51, PR China Absrac The mehod of characerisics
More informationMacroeconomics 1. Ali Shourideh. Final Exam
4780 - Macroeconomic 1 Ali Shourideh Final Exam Problem 1. A Model of On-he-Job Search Conider he following verion of he McCall earch model ha allow for on-he-job-earch. In paricular, uppoe ha ime i coninuou
More informationPhysics 127b: Statistical Mechanics. Fokker-Planck Equation. Time Evolution
Physics 7b: Saisical Mechanics Fokker-Planck Equaion The Langevin equaion approach o he evoluion of he velociy disribuion for he Brownian paricle migh leave you uncomforable. A more formal reamen of his
More informationAn 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 informationNote 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 informationBSDE'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 informationNECESSARY 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 informationSample Final Exam (finals03) Covering Chapters 1-9 of Fundamentals of Signals & Systems
Sample Final Exam Covering Chaper 9 (final04) Sample Final Exam (final03) Covering Chaper 9 of Fundamenal of Signal & Syem Problem (0 mar) Conider he caual opamp circui iniially a re depiced below. I LI
More information18 Extensions of Maximum Flow
Who are you?" aid Lunkwill, riing angrily from hi ea. Wha do you wan?" I am Majikhie!" announced he older one. And I demand ha I am Vroomfondel!" houed he younger one. Majikhie urned on Vroomfondel. I
More informationThe 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 informationOn Line Supplement to Strategic Customers in a Transportation Station When is it Optimal to Wait? A. Manou, A. Economou, and F.
On Line Spplemen o Sraegic Comer in a Tranporaion Saion When i i Opimal o Wai? A. Mano, A. Economo, and F. Karaemen 11. Appendix In hi Appendix, we provide ome echnical analic proof for he main rel of
More informationPiecewise-Defined Functions and Periodic Functions
28 Piecewie-Defined Funcion and Periodic Funcion A he ar of our udy of he Laplace ranform, i wa claimed ha he Laplace ranform i paricularly ueful when dealing wih nonhomogeneou equaion in which he forcing
More informationAlgorithms and Data Structures 2011/12 Week 9 Solutions (Tues 15th - Fri 18th Nov)
Algorihm and Daa Srucure 2011/ Week Soluion (Tue 15h - Fri 18h No) 1. Queion: e are gien 11/16 / 15/20 8/13 0/ 1/ / 11/1 / / To queion: (a) Find a pair of ube X, Y V uch ha f(x, Y) = f(v X, Y). (b) Find
More informationUndetermined 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 informationPhysics 240: Worksheet 16 Name
Phyic 4: Workhee 16 Nae Non-unifor circular oion Each of hee proble involve non-unifor circular oion wih a conan α. (1) Obain each of he equaion of oion for non-unifor circular oion under a conan acceleraion,
More informationCONTROL SYSTEMS. Chapter 10 : State Space Response
CONTROL SYSTEMS Chaper : Sae Space Repone GATE Objecive & Numerical Type Soluion Queion 5 [GATE EE 99 IIT-Bombay : Mark] Conider a econd order yem whoe ae pace repreenaion i of he form A Bu. If () (),
More informationNotes 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 information2. 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 informationA proof of Ito's formula using a di Title formula. Author(s) Fujita, Takahiko; Kawanishi, Yasuhi. Studia scientiarum mathematicarum H Citation
A proof of Io's formula using a di Tile formula Auhor(s) Fujia, Takahiko; Kawanishi, Yasuhi Sudia scieniarum mahemaicarum H Ciaion 15-134 Issue 8-3 Dae Type Journal Aricle Tex Version auhor URL hp://hdl.handle.ne/186/15878
More informationMatrix Versions of Some Refinements of the Arithmetic-Geometric Mean Inequality
Marix Versions of Some Refinemens of he Arihmeic-Geomeric Mean Inequaliy Bao Qi Feng and Andrew Tonge Absrac. We esablish marix versions of refinemens due o Alzer ], Carwrigh and Field 4], and Mercer 5]
More informationLECTURE 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 informationInstrumentation & Process Control
Chemical Engineering (GTE & PSU) Poal Correpondence GTE & Public Secor Inrumenaion & Proce Conrol To Buy Poal Correpondence Package call a -999657855 Poal Coure ( GTE & PSU) 5 ENGINEERS INSTITUTE OF INDI.
More informationConditional characteristic functions of Molchan-Golosov fractional Lévy processes with application to credit risk
Condiional characeriic funcion of Molchan-Goloov fracional Lévy procee wih applicaion o credi rik Holger Fink Sepember 18, 212 Abrac Molchan-Goloov fracional Lévy procee (MG-fLp) are inroduced by a mulivariae
More informationEnergy 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 informationExample 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 informationFractional Ornstein-Uhlenbeck Processes
Tampere Universiy of Technology Fracional Ornsein-Uhlenbeck Processes Ciaion Kaarakka, T. 25. Fracional Ornsein-Uhlenbeck Processes. Tampere Universiy of Technology. Publicaion; Vol. 338. Tampere Universiy
More informationRicci Curvature and Bochner Formulas for Martingales
Ricci Curvaure and Bochner Formula for Maringale Rober Halhofer and Aaron Naber Augu 15, 16 Abrac We generalize he claical Bochner formula for he hea flow on M o maringale on he pah pace, and develop a
More informationSystems 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 informationRepresentation of Stochastic Process by Means of Stochastic Integrals
Inernaional Journal of Mahemaics Research. ISSN 0976-5840 Volume 5, Number 4 (2013), pp. 385-397 Inernaional Research Publicaion House hp://www.irphouse.com Represenaion of Sochasic Process by Means of
More informationReflected 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 informationFULLY 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 informationAnalysis of a Non-Autonomous Non-Linear Operator-Valued Evolution Equation to Diagonalize Quadratic Operators in Boson Quantum Field Theory
1 Analyi of a Non-Auonomou Non-Linear Operaor-Valued Evoluion Equaion o Diagonalize Quadraic Operaor in Boon Quanum Field Theory Volker Bach and Jean-Bernard Bru Abrac. We udy a non auonomou, non-linear
More informationA Theoretical Model of a Voltage Controlled Oscillator
A Theoreical Model of a Volage Conrolled Ocillaor Yenming Chen Advior: Dr. Rober Scholz Communicaion Science Iniue Univeriy of Souhern California UWB Workhop, April 11-1, 6 Inroducion Moivaion The volage
More informationEE202 Circuit Theory II
EE202 Circui Theory II 2017-2018, Spring Dr. Yılmaz KALKAN I. Inroducion & eview of Fir Order Circui (Chaper 7 of Nilon - 3 Hr. Inroducion, C and L Circui, Naural and Sep epone of Serie and Parallel L/C
More informationAn 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 informationSemi-discrete semi-linear parabolic SPDEs
Semi-dicree emi-linear parabolic SPDE Nico Georgiou Univeriy of Suex Davar Khohnevian Univeriy of Uah Mahew Joeph Univeriy of Sheffield Shang-Yuan Shiu Naional Cenral Univeriy La Updae: November 2, 213
More informationMultidimensional 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 informationu(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 informationAnn. Funct. Anal. 2 (2011), no. 2, A nnals of F unctional A nalysis ISSN: (electronic) URL:
Ann. Func. Anal. 2 2011, no. 2, 34 41 A nnals of F uncional A nalysis ISSN: 2008-8752 elecronic URL: www.emis.de/journals/afa/ CLASSIFICAION OF POSIIVE SOLUIONS OF NONLINEAR SYSEMS OF VOLERRA INEGRAL EQUAIONS
More informationA fractional credit model with long range dependent default rate
A fracional credi model wih long range dependen defaul rae Franceca Biagini Holger Fink Claudia Klüppelberg April 6, 1 Abrac Moivaed by empirical evidence of long range dependence in macroeconomic variable
More information