Variance and Covariance Processes

Size: px
Start display at page:

Download "Variance and Covariance Processes"

Transcription

1 Vaiance and Covaiance Pocesses Pakash Balachandan Depamen of Mahemaics Duke Univesiy May 26, 2008 These noes ae based on Due s Sochasic Calculus, Revuz and Yo s Coninuous Maingales and Bownian Moion, Kaazas and Sheve s Bownian Moion and Sochasic Calculus, and Kuo s Inoducion o Sochasic Calculus 1 Moivaion In his secion, we moivae he consucion of vaiance and covaiance pocesses fo coninuous local maingales, which is cucial in he consucion of sochasic inegals w... coninuous local maingales as we shall see. In his secion, unless ohewise specified, we fix a Bownian moion B and a filaion {F } such ha: 1. Fo each, B is F -measuable. 2. Fo and s, he andom vaiable B B s is independen of he σ-field F s. Recall ha fo any Bownian moion, B immediaely implies (2) in he following = whee B is he quadaic vaiaion of B. This Definiion: Define L 2 ad (a, b Ω) o be he space of all sochasic pocesses f(, ω), a b, ω Ω such ha: 1. f(, ω) is adaped o he filaion {F }. 2. b a E f() 2 d = b a E f() 2 d B <. 1

2 lso ecall when consucing a heoy of inegaion w... a Bownian moion, we begin wih consucing he sochasic inegal fo f L 2 ad (a, b Ω). b a f()db Now, we wan a moe geneal fomalism of inegaing a class of pocesses w... a genealized maingale ha in he case Bownian moion will educe o he above. Definiion: Le G be a igh-coninuous filaion. We define L denoe he collecion of all joinly measuable sochasic pocesses X(, ω) such ha: 1. X is adaped w... G. 2. lmos all sample pahs of X ae lef coninuous. Fuhemoe, we define P o be he smalles σ-field of subses of a, b Ω wih espec o which all he sochasic pocesses in L ae measuable. sochasic pocesses Y (, ω) ha is P measuable is said o be pedicible. The moivaion fo he definiion of a pedicable pocess comes fom he following agumen: If Y is a pedicable pocess, hen almos all is values a ime can be deemined wih ceainy wih he infomaion available sicly befoe ime, since lef coninuiy of he pocess Y implies ha fo almos evey ω Ω and any sequence n as n : lim n Y n (ω) = Y (ω). Now, we have he following heoem which we shall pove a vesion of in he nex secion fo coninuous local mainagles: Theoem 1 (Doob-Meye) Le M, a b be a igh coninuous, squae inegable maingale wih lef hand limis. Then, hee exiss a unique decomposiion (M ) 2 = L +, a b whee L is a igh-coninuous maingale wih lef-hand limis, and is a pedicable, igh coninuous, inceasing pocess such ha a 0 and E < fo all a b. The above heoem ceainly applies o he squae inegable pocess B. 2

3 Claim 1 In he case M = B in Doob-Meye, = B =. Poof of Claim 1: WLOG, we may ake a = 0 and b = 0. Define P 0 s 0 : = (B ) 2. Then, fo E(B ) 2 F s = E(B B s + B s ) 2 F s = E(B B s ) 2 + 2B s (B B s ) + (B s ) 2 F s = E(B B s ) 2 + 2B s EB B s + (B s ) 2 = s + (B s ) 2 EP F s = E(B ) 2 F s = (B s ) 2 s = P s. Thus, P = (B ) 2 is a maingale, so ha (B ) 2 = P +. Clealy, saisfies all he condiions ha mus saisfy in Doob-Meye, so ha by uniqueness of, = = B. So, anohe way of viewing he inegal w... he maingale M w... he filaion G is he following: Fis, we look fo he unique pocess (guaaneed by Doob-Meye) M such ha L = (M ) 2 M is a maingale. Then, we make he Definiion: Define L 2 ped (a, b M Ω) o be he space of all sochasic pocesses f(, ω), a b, ω Ω such ha: 1. f(, ω) is pedicable w... {G }. 2. b a E f() 2 d M <. Then, we poceed o consuc he inegal b a f()dm fo f L 2 ped (a, b M Ω). I s clea ha in he case M = B and G = F ha he above fomulaion coincides wih he oiginal consucion of he sochasic inegal w... B eviewed a he beginning of his secion. Fo igh coninuous, squae inegable maingales M wih lef hand limis, a leas, his pocess woks. In he case whee M is a coninuous local maingale, we do he same hing. Howeve, i s no immediaely clea: 1. ha we have a vesion of Doob-Meye fo coninuous local maingales. 2. how he consucion of he inegal is affeced by he sopping imes T n ha educe M, if a all. In he nex secion, we deal wih he fis poblem. Then, we poceed o emedy he second. 3

4 2 Vaiance and Covaiance Pocesses We ake L and P as defined in secion 1. Theoem 2 If X is a coninuous local maingale, hen we define he vaiance pocess X o be he unique coninuous pedicable inceasing pocesses ha has 0 0 and makes X 2 a local maingale. Definiion: If X and Y ae wo coninuous local maingales, we le X, Y = 1 4 ( X + Y X Y ). We call X, Y he covaiance of X and Y. Based on he discussion in he fis secion, i s clea why we e ineesed in vaiance pocesses. I is convenien o define covaiance pocesses since hey ae vey useful and have quie nice popeies, such as: Theoem 3, is a symmeic bilinea fom on he class of coninuous local mainagles. We migh pove i his ime aound. If no, hopefully nex ime. Two quesions I m sill pondeing is 1. Can you un his ino an inne poduc? 2. If so, how you can chaaceize he class of pocesses ha is he compleion of his space? The poof of heoem 2 is long, bu i is insucive o go hough i, since i develops echniques ha will be useful lae. In ode o poceed, ecall ha any pedicable discee ime maingale is consan why?. Thee is a esul analogous o his in coninuous ime, and we use i o pove he uniqueness saemen in heoem 2: Theoem 4 ny coninuous local maingale X ha is pedicable and locally of bounded vaiaion is consan (in ime). Poof: By subacing X 0, WM ha X 0 0. Thus, we wish o show ha X 0 fo all > 0 almos suely. Le V (ω) = sup π Π T π (ω) be he vaiaion of X s (ω) on 0,, whee Π denoes he se of all (finie) paiions of 0,, π = {0 = 0 < 1 < < N = }, and whee fo a given paiion of his so, N T π (ω) = X m (ω) X m 1 (ω). 4

5 Lemma 1 Fo almos all ω Ω, V (ω) is coninuous Poof of Lemma: Fis, noice ha fo any ω Ω, V (ω) is inceasing: Fo s <, 0, s 0,, so ha any finie paiion π = {0 = 0 < 1 < < N = s} of 0, s gives a finie paiion π = {0 = 1 < < N = s < N+1 = } of 0,. Thus, fo any finie paiion π of 0, s, T π (ω) T π (ω), whee π is a finie paiion of 0,, so ha Since ω was abiay, his is ue fo all ω Ω. T π (ω) T π (ω) sup π Π T π (ω) = V (ω) V s (ω) = sup π Π s T π (ω) sup π Π T π (ω) = V (ω). Thus, o show ha V is coninuous a.s., i suffices o show ha fo almos all ω Ω, V (ω) has no disconinuiies (of he fis kind). Claim 2 Fo any ω Ω, V u (ω) = V s (ω) + V u s (ω) whee V u s (ω) is he vaiaion of X (ω) on s, u. Poof of Claim: Take any wo paiions {s = 0 < 1 < < N = u}, {0 = N < N 1 < < 0 = s}. Then: 0 m= N +1 X m (ω) X m 1 (ω) + N X m (ω) X m 1 (ω) V s (ω) + V u s (ω). Now, he LHS is T π (ω) fo π = {0 = N < < N = u}. Thus, V u (ω) V s (ω) + V u s (ω). Fo he ohe inequaliy, noe ha {0 = N Thus: < < 0 = s < < N = u} is a paiion of 0, u. V u (ω) N m= N +1 X m (ω) X m 1 (ω) = 0 m= N +1 X m (ω) X m 1 (ω) + N X m (ω) X m 1 (ω). Now, fixing one of he paiions on he RHS, we may ake he supemum of he emaining, and hen poceed o ake he supemum of he final em. Thus: V u (ω) V s (ω) + V u s (ω), so ha V u (ω) = V s (ω) + V u s (ω). Now, by hypohesis, X s is of locally bounded vaiaion. So, hee exiss a sequence of sopping imes T n a.s. such ha Xs Tn (ω) is of bounded vaiaion in ime. Le = {ω Ω : T n (ω) }. By definiion, P = 1. Now, le ω be fixed, and suppose ha s V s (ω) has a disconinuiy a. Choosing n lage enough so ha T n (ω) >, hee exiss s 0 < u 0 such ha X s (ω) is of bounded vaiaion on s 0, u 0. 5

6 Since s V s (ω) has a disconinuiy a, hee exiss ɛ > 0 such ha fo evey δ > 0, u s < δ implies V u (ω) V s (ω) > 3ɛ whee s < < u. By Claim 2 hen, fo evey δ > 0, u s < δ implies V u s (ω) > 3ɛ whee s < < u. Pick δ > 0 so ha if s < δ hen X s X < ɛ (using unifom coninuiy of X s (ω) on s 0, u 0 ). ssuming s n and u n have been defined, pick a paiion of s n, u n no conaining wih mesh less han δ and vaiaion geae han 2ɛ (his is possible since fo evey δ > 0, u s < δ implies V u s (ω) > 3ɛ whee s < < u). Le s n+1 be he lages poin in he paiion less han, and u n+1 be he smalles poin in he paiion lage han. Then u n+1 s n+1 < δ X sn+1 (ω) X un+1 (ω) < ɛ. Thus: N X m (ω) X m 1 (ω) > 2ɛ N, m s n+1,u n+1 X m (ω) X m 1 (ω) > 2ɛ X un+1 (ω) X sn+1 (ω) > ɛ. By omiing he poins s n+1 and u n+1 fom he paiion, we obain a paiion fo s n, u n s n+1, u n+1. Thus, afe aking supemums: V sn,u n s n+1,u n+1 (ω) = V un s n (ω) V u n+1 s n+1 (ω) > ɛ. Thus, V u 0 s 0 (ω) > Mɛ fo abiaily lage inege values M. Thus, i mus be infiniy, conadicing ha X s (ω) has bounded vaiaion on s 0, u 0. Thus, V (ω) mus be coninuous fo evey ω Ω, since ω was abiay. Now, we needed Lemma 1 in ode o guaanee ha he funcions ae sopping imes (why?). Lemma 2 {S n } educe X. Poof of Lemma 2: We poved las ime ha S n (ω) = inf{s : V s (ω) n} If X is a coninuous local maingale, we can always ake he sequence which educes X o be T n = inf{ : X > n} o any ohe sequence T n T n ha has T n as n. Now, suppose ha saisfies n < X = X X 0 V. Then, V > n, so ha { : X > n} { : V n} S n = inf{ : V n} inf{ : X n} = T n. 6

7 Ceainly, V s n + 1 n V s n so ha { : V s n + 1} { : V s n} S n = inf{{ : V s n} { : V s n + 1} = S n+1. Finally, since V is coninuous a.s., i s clea ha lim n S n (ω) = almos suely. Thus, S n educe X. Now, fix some n > 0. Then, S n implies X n. By Lemma 2, M = X Sn maingale. is a bounded Now, if s < : E(M M s ) 2 F s = EM 2 F s 2M s EM F s + M 2 s = EM 2 F s M 2 s = EM 2 M 2 s F s. (we efe o his elaionship as ohogonaliy of maingale incemens). If 0 = 0 < 1 < < N = is a paiion of 0,, we have: N N EM 2 = E M 2 m M 2 m 1 = E (M m M m 1 ) 2 E ne sup M m M m 1 m V Sn sup M m M m 1 m Taking a sequence of paiions n = {0 = n 0 < n 1 < < n k(n) = } in which he mesh n = sup m n m n m 1 0 coninuiy of sample pahs imply sup m M n m M n m 1 0 a.s. Since sup m M m M m 1 2n, he bounded convegence heoem implies E sup M n m M n m 1 0. m Thus, EM 2 = 0 so ha M = 0 a.s. Le = {ω Ω : M (ω) 0}. Then, since above was abiay, P = 0 fo any, so ha P = 0. Q, 0 Thus, wih pobabiliy 1, M = 0 fo all aional. By coninuiy of sample pahs, we have ha M = 0 wih pobabiliy 1 fo all. Uniqueness in heoem 2: Suppose ha and ae wo coninuous, pedicable, inceasing pocesses ha have 0 = 0 0, and make X2, X 2 local maingales. If T n educe X 2 and T n educe X 2 i s clea ha T n T n educe X 2 (X 2 ) =, so ha is a coninuous local maingale. I s clea ha is pedicable, since each and ae pedicable. 7

8 Finally, is locally of bounded vaiaion. To see his, ake he sopping imes S n = T n T n. Clealy, T n T n, and he sopped pocesses T n T n T n T n ae of bounded vaiaion fo each ω, being he diffeence of wo inceasing pocesses on he andom ineval 0, T n (ω) T n(ω). Thus, by heoem 4, mus be consan, so ha since 0 = 0 = 0, = 0 fo all. Thus, = fo all. The exisence poof is a lile moe difficul, bu uses some gea analysis. Exisence in heoem 2: We poceed in seps: Sep 1: Poof of exisence in heoem 2 when X is a bounded maingale: (noe ha uniqueness follows fom he pevious agumen) Given a paiion = {0 = 0 < 1 < } wih lim n n =, le k() = sup{k : k < } be he index of he las poin befoe ; noe ha k() is no a andom vaiable, bu a numbe. Define k() Q (X) = (X k X k 1 ) 2 + k=1 ( X X k() ) 2. Lemma 3 If X is a bounded coninuous maingale, hen X 2 Q (X) is a maingale. Poof of Lemma 3: Fis, noice ha k() Q Q ( ) ( ) k(s) 2 2 ( ) ) 2 2 s = Xk X k 1 + X X k() Xk X k 1 (X s X k(s) = k=1 (X k(s)+1 X k(s) ) 2 (X s X k(s) ) 2 + k() k=k(s)+2 k=1 ( Xk X k 1 ) 2 + ( X X k() ) 2. Define u i = i fo k(s) i k() and u k()+1 =. Then, wiing Q = Q s + (Q Q s ): = EX 2 F s Q s (X) E = EX 2 F s Q s (X) E k()+1 i=k(s)+2 k()+1 i=k(s)+2 EX 2 Q (X) F s ( ) 2 Xui X Fs ui 1 E ( 2 ( ) 2 X X k(s)+1 k(s)) Fs +E X s X k(s) Fs Xu 2 i Xu 2 Fs i 1 E X 2 k(s)+1 2X k(s)+1 X k(s) + X 2 k(s) F s +E X s 2 2X s X k(s) + X 2 k(s) F s 8

9 = Q s (X) + E X 2 k(s)+1 F s E X 2 k(s)+1 F s + 2X s X k(s) X 2 k(s) + Xs 2 2X s X k(s) + X 2 k(s) = X 2 s Q s (X) whee in he fis equaliy, we have used he fac ha Q s (X) is F s measuable, and in he second equaliy, we have used he ohogonaliy of maingale incemens. Lemma 4 Le X be a bounded coninuous maingale. Fix > 0 and le n be a sequence of paiions 0 = n 0 < < n k n = of 0, wih mesh n = sup k n k n k 1 0. Then, Q n (X) conveges o a limi in L 2 (Ω, F, P ). Poof of Lemma 4: Fis, we begin wih some noaion. If and ae wo paiions of 0,, we le denoe he paiion obained by aking all he poins in and. Now, by lemma 3, fo fixed paiions and of 0,, we have ha fo a bounded coninuous maingale X : Y = (X 2 Q ) (X 2 Q ) = Q Q is again a bounded maingale (Since X M fo all 0 implies Q Q KM since he paions and ae fixed). Thus, again by lemma 3: Z = (Y ) 2 Q (Y ) is a maingale wih Z 0 = 0, so ha ( ) 2 EZ = 0 E Q Q = E (Y ) 2 = E Q (Y ). Now, 2a 2 + 2b 2 (a + b) 2 = (a b) 2 0 fo any eal numbes a and b, so ha (a + b) 2 2(a 2 + b 2 ) fo any eal numbes a, b. Thus: Q (Y ) = k=1 k=1 k() ( ) ( ) k() 2 2 Yk Y k 1 + Y Y k() = k=1 ( + Q Q k=1 ) ( ) 2 Q k() Q k() ( ) ( ) 2 Q k Q k Q k 1 Q k 1 k() ) ( ) 2 ( ) ( ) 2 = (Q k Q k 1 Q k Q k 1 + Q Q k() Q Q k() k() ) 2+ ( ) 2+ ( ) 2+ ( ) 2 2 (Q k Q k 1 Q k Q k 1 Q Q ( k() Q Q k() = 2 Q Q ) ( + Q Q ). 9

10 Puing i all ogehe hen, we have: ( ) 2 E Q ( Q = E Q (Y ) 2 Q Q ) ( + Q Q ). Thus, o show ha {Q n (X)} is Cauchy in L 2 (Ω, F, P ), and hence conveges in his space since i is complee, i is sufficien o show ha + ( 0 E Q Q ) 0. To do his, le {s k } n k=1 = and { j } =. Le s k and j such ha j s k < s k+1 j+1. Then: Q s k+1 Q s k = (X sk+1 X j ) 2 (X sk X j ) 2 = (X sk+1 X sk ) 2 + 2(X sk+1 X sk )(X sk X j ) Q = (X sk+1 X sk )(X sk+1 + X sk 2X j ) (Q ) Q (X) sup(x sk+1 + X sk 2X j(k) ) 2 k whee j(k) = sup{j : j s k }. By he Cauchy-Schwaz inequaliy: ( E Q Q ) E Q (X) E sup k (X sk+1 + X sk 2X j(k) ) Since he sample pahs of X ae coninuous almos suely, sup k (X sk+1 + X sk 2X j(k) ) 4 0 almos suely as + 0. Since sup k (X sk+1 + X sk 2X j(k) ) 4 (4M) 4, he bounded convegence heoem implies ha as + 0. Thus, i emains o show ha E Q (X) 2 = E Q = E sup k ( n ) 2 (X sm X sm 1 ) 2 = (X sk+1 + X sk 2X j(k) ) Q (X) 2 is bounded. To do his, noe ha: n n 1 n (X sm X sm 1 ) 4 +2 (X sm X sm 1 ) 2 n n 1 ( ) (X sm X sm 1 ) (X sm X sm 1 ) 2 Q (X) Q s m (X) n (X) 2 = E (X sm X sm 1 ) +2E 4 n 1 To bound he fis em on he RHS, noe ha X M fo all implies: n n n E (X sm X sm 1 ) 4 (2M) 2 E (X sm X sm 1 ) 2 = 4M 2 E 10 j=m+1 (X sj X sj 1 ) 2 ( ) (X sm X sm 1 ) 2 Q (X) Q s m (X) Xs 2 m Xs 2 m 1 4M 2 E X 2 4M 4

11 whee in he fis equaliy, we have used ha ohogonaliy of maingale incemens: E(X sm X sm 1 ) 2 F sm 1 = EX 2 s m X 2 s m 1 F sm 1 implies: E(X sm X sm 1 ) 2 = EX 2 s m X 2 s m 1. Fo he second em on he RHS, noe ha (X sm X sm 1 ) 2 F sm. By lemma 3, and ohogonaliy of maingale incemens: So: E E E E Q (X) Q s (X) F s = E X 2 X 2 s F s = E (X X ) 2 F s. (X sm X sm 1 ) 2 ( Q n 1 n 1 E ) ( (X) Q s m (X) F sm = (X sm X sm 1 ) 2 E Q = (X sm X sm 1 ) 2 E (X X sm ) 2 F sm (2M) 2 (X sm X sm 1 ) 2 (X sm X sm 1 ) 2 ( Q ( (X sm X sm 1 ) 2 Q ) (X) Q s m (X) F sm 4M 2 E (X) Q s m (X)) 4M 2 E n 1 n 1 ) (X) Q s m (X) F sm (X sm X sm 1 ) 2 X 2 s m X 2 s m 1 4M 2 E X 2 4M 4. Thus, E Q (X) 2 4M M 4 = 12M 4. { Lemma 5 Le { n } be as in Lemma 4. Then, hee exiss a subsequence { nk } such ha Q n k conveges unifomly a.s. on 0,. Poof of Lemma 5: Since { } Q n conveges in L 2 (Ω, F, P ), i is Cauchy in his space. So, choose a { } subsequence such ha fo m n k, Le Q n k By Chebyshev s inequaliy: P k = P E Q m { k = ω Ω : sup sup Q n k+1 Q n k Q n k Q n k+1 2 < 2 k. (ω) Q n k (ω) > 1 } k 2. 1 Q k 2 k 4 nk+1 E Q n k 2 < k4 2 k. } 11

12 Since he RHS is summable, Boel-Canelli implies ha P lim sup k k = 0. So, fo almos all ω Ω, hee exiss N ω such ha k > N ω implies So, fo m > m > N ω : sup Q n k+1 (ω) Q n k (ω) < 1 k 2. sup (ω) Q n m (ω) Q nm Since he seies k=1 1 k 2 implies hus, fo m, m > max{n, N ω }: { Thus, Q n k m 1 k=m sup Q n k+1 (ω) Q n k (ω) < m 1 1 k 2. k=m conveges, we have ha given ɛ > 0, hee exiss N such ha m, m > N sup Q nm m 1 1 k 2 < ɛ. k=m (ω) Q n m (ω) < ɛ. } conveges unifomly almos suely on 0,. In wha follows, call he limiing funcion in Lemma 5, and define i o be zeo ouside 0,. Now, fo each nk in lemma 5, we can exend i o a paiion n k of 0, + 1, such ha n k 0. Then, fo his sequence of meshes, lemma 4 implies ha Q n k +1 conveges { o } a limi in L2 (Ω, F, P ). Repeaing he pocedue in lemma 5 hen, we can selec a subsequence Q n kj such ha i conveges unifomly almos suely on 0, + 1. Call he limiing funcion +1, and similaly define i o be zeo ouside 0, + 1. I s clea ha fo, Q n kj = Q n k, so ha = +1 fo. Repeaing he pocedue above, we obain a sequence of funcions { +j } j=0 such ha +j is coninuous on 0, + j a.s., and +j = +k fo min{ + j, + k}. So, we can unambiguously define (ω) = lim j +j (ω). If D j = {ω Ω : +j (ω) is no coninuous on 0, + j}, hen clealy D = j=0 D j has measue zeo. Thus, fo ω D c, i s clea ha (ω) will be coninuous, so ha is coninuous a.s. I s clea fom he consucion ha is pedicable. To show ha is inceasing, i is sufficien o show ha each +j is inceasing. To his end, le n be he paiion of 0, + j wih poins a k2 n ( + j) fo 0 k 2 n ; clealy, aking his sequence of paiions doesn ale he above agumens, so ha Q n +j unifomly a.e. on 0, + j. 12

13 Clealy, n+1 is a efinemen of n and n=1 n is dense in 0, + j. Thus, fo any pai s,, s <, in n=1 n hee exiss n 0 such ha s and belong o n fo n n 0. Thus, Q n s ha +j s Q n fo n n 0, so +j. Since his is ue fo any s <, s, n=1 n, by coninuiy of he pocess, i mus hold eveywhee on 0, + j. Thus, is coninuous, pedicable, and inceasing. ll we need o veify now is ha (X ) 2 is a maingale. Now, fo each j, +j is he limi of pocesses of he fom Q n k suely o +j. Thus, we have convegence in pobabiliy. which convege unifomly almos Similaly, since Q n k was obained as a subsequence of a sequence conveging in L 2 (Ω, F, P ) o say Q, he subsequence Q n k conveges o Q in L 2 (Ω, F, P ), so ha we also have convegence in pobabiliy. Thus, Q = R+j wih pobabiliy 1, so ha Q n k conveges o +j in L 2 (Ω, F, P ). Claim 3 Suppose ha fo each n, Z n is a maingale w... F, and ha fo each, Z n Z in L p (Ω, F, P ) whee p 1. Then, Z is a maingale. Poof of Claim 3: Recall ha since we e woking ove he finie measue space (Ω, F, P ), convegence in L p (Ω, F, P ) implies convegence in L 1 (Ω, F, P ) (why?). 2 Now, he maingale popey implies ha fo s <, EZ n F s = Zs n, so ha fo any F s EZ n F s = Since Zs n Z s in L p (and hence in L 1 ) we have ha lim EZ n n F s = lim n Now, Z n s. Zs n = E EZ n F s EZ F s p = E EZ n Z F s p EE Z n Z p F s = E Z n Z p whee we have used he condiional Jensen inequaliy, and lineaiy of condiional expecaion. Thus, EZ n F s EZ F s in L p (Ω, F, P ), so ha EZ n F s EZ F s in L 1 (Ω, F, P ). Thus: EZ F s = lim EZ n n F s = Z s so ha since F s was abiay, EZ F s = Z s. Z s. Thus, by lemma 3, since (X ) 2 Q n k is a maingale, and Q n k is a maingale. Thus, (X ) 2 is obviously a maingale. +j in L 2 (Ω, F, P ), (X ) 2 +j 13

14 Sep 2: Poof of exisence in heoem 2 when X is a local maingale Lemma 6 Le X be a bounded maingale, and T be a sopping ime. Then, X T = X T. Poof of Lemma 6: By he consucion in sep 1, M = (X ) 2 X is a maingale. Then, M T = (X T ) 2 X T is a maingale, so ha by uniqueness of he pocess X T, X T = X T. Now, le X be a coninuous local maingale, wih a sequence of sopping imes {T n } ha educe i. WLOG, we may ake he sopping imes o be he canonical imes: T n = inf{ : X > n}. Then, Y n = X Tn 1 Tn>0 is a bounded maingale. By he esuls in sep 1, hee is a unique, coninuous pedicable, inceasing pocess n such ha (Y n ) 2 n is a maingale. By lemma 6, fo T n, n = n+1, so ha we may unambiguously define X = n fo T n. Clealy, X is coninuous, pedicable, and inceasing. By definiion: XT 2 n 1 Tn>0 X Tn is a maingale, so ha (X ) 2 X is a local maingale. We poceed now o pove he analogue above fo he covaiance pocess. In paicula, i is vey useful in compuing X, Y. Theoem 5 Suppose ha X and Y ae coninuous local maingales. X, Y is he unique coninuous pedicable pocess ha is locally of bounded vaiaion, has 0 = 0, and makes X Y a local maingale. Poof of Theoem 5: By definiion: X Y X, Y = 1 (X + Y ) 2 X + Y 4 { (X Y ) 2 } X Y is obviously a coninuous local maingale. To pove uniqueness, noice ha if and ae wo pocesses wih he desied popeies, hen = (X Y ) (X Y ) is a coninuous local maingale ha is of locally bounded vaiaion. Hence, by heoem 4, his mus be idenically zeo, so ha = fo all. 14

The shortest path between two truths in the real domain passes through the complex domain. J. Hadamard

The shortest path between two truths in the real domain passes through the complex domain. J. Hadamard Complex Analysis R.G. Halbud R.Halbud@ucl.ac.uk Depamen of Mahemaics Univesiy College London 202 The shoes pah beween wo uhs in he eal domain passes hough he complex domain. J. Hadamad Chape The fis fundamenal

More information

On Control Problem Described by Infinite System of First-Order Differential Equations

On Control Problem Described by Infinite System of First-Order Differential Equations Ausalian Jounal of Basic and Applied Sciences 5(): 736-74 ISS 99-878 On Conol Poblem Descibed by Infinie Sysem of Fis-Ode Diffeenial Equaions Gafujan Ibagimov and Abbas Badaaya J'afau Insiue fo Mahemaical

More information

Lecture-V Stochastic Processes and the Basic Term-Structure Equation 1 Stochastic Processes Any variable whose value changes over time in an uncertain

Lecture-V Stochastic Processes and the Basic Term-Structure Equation 1 Stochastic Processes Any variable whose value changes over time in an uncertain Lecue-V Sochasic Pocesses and he Basic Tem-Sucue Equaion 1 Sochasic Pocesses Any vaiable whose value changes ove ime in an unceain way is called a Sochasic Pocess. Sochasic Pocesses can be classied as

More information

Deviation probability bounds for fractional martingales and related remarks

Deviation probability bounds for fractional martingales and related remarks Deviaion pobabiliy bounds fo facional maingales and elaed emaks Buno Sausseeau Laboaoie de Mahémaiques de Besançon CNRS, UMR 6623 16 Roue de Gay 253 Besançon cedex, Fance Absac In his pape we pove exponenial

More information

7 Wave Equation in Higher Dimensions

7 Wave Equation in Higher Dimensions 7 Wave Equaion in Highe Dimensions We now conside he iniial-value poblem fo he wave equaion in n dimensions, u c u x R n u(x, φ(x u (x, ψ(x whee u n i u x i x i. (7. 7. Mehod of Spheical Means Ref: Evans,

More information

General Non-Arbitrage Model. I. Partial Differential Equation for Pricing A. Traded Underlying Security

General Non-Arbitrage Model. I. Partial Differential Equation for Pricing A. Traded Underlying Security 1 Geneal Non-Abiage Model I. Paial Diffeenial Equaion fo Picing A. aded Undelying Secuiy 1. Dynamics of he Asse Given by: a. ds = µ (S, )d + σ (S, )dz b. he asse can be eihe a sock, o a cuency, an index,

More information

Extremal problems for t-partite and t-colorable hypergraphs

Extremal problems for t-partite and t-colorable hypergraphs Exemal poblems fo -paie and -coloable hypegaphs Dhuv Mubayi John Talbo June, 007 Absac Fix ineges and an -unifom hypegaph F. We pove ha he maximum numbe of edges in a -paie -unifom hypegaph on n veices

More information

MEEN 617 Handout #11 MODAL ANALYSIS OF MDOF Systems with VISCOUS DAMPING

MEEN 617 Handout #11 MODAL ANALYSIS OF MDOF Systems with VISCOUS DAMPING MEEN 67 Handou # MODAL ANALYSIS OF MDOF Sysems wih VISCOS DAMPING ^ Symmeic Moion of a n-dof linea sysem is descibed by he second ode diffeenial equaions M+C+K=F whee () and F () ae n ows vecos of displacemens

More information

336 ERIDANI kfk Lp = sup jf(y) ; f () jj j p p whee he supemum is aken ove all open balls = (a ) inr n, jj is he Lebesgue measue of in R n, () =(), f

336 ERIDANI kfk Lp = sup jf(y) ; f () jj j p p whee he supemum is aken ove all open balls = (a ) inr n, jj is he Lebesgue measue of in R n, () =(), f TAMKANG JOURNAL OF MATHEMATIS Volume 33, Numbe 4, Wine 2002 ON THE OUNDEDNESS OF A GENERALIED FRATIONAL INTEGRAL ON GENERALIED MORREY SPAES ERIDANI Absac. In his pape we exend Nakai's esul on he boundedness

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

[ ] 0. = (2) = a q dimensional vector of observable instrumental variables that are in the information set m constituents of u

[ ] 0. = (2) = a q dimensional vector of observable instrumental variables that are in the information set m constituents of u Genealized Mehods of Momens he genealized mehod momens (GMM) appoach of Hansen (98) can be hough of a geneal pocedue fo esing economics and financial models. he GMM is especially appopiae fo models ha

More information

Lecture 28: Convergence of Random Variables and Related Theorems

Lecture 28: Convergence of Random Variables and Related Theorems EE50: Pobability Foundations fo Electical Enginees July-Novembe 205 Lectue 28: Convegence of Random Vaiables and Related Theoems Lectue:. Kishna Jagannathan Scibe: Gopal, Sudhasan, Ajay, Swamy, Kolla An

More information

Sections 3.1 and 3.4 Exponential Functions (Growth and Decay)

Sections 3.1 and 3.4 Exponential Functions (Growth and Decay) Secions 3.1 and 3.4 Eponenial Funcions (Gowh and Decay) Chape 3. Secions 1 and 4 Page 1 of 5 Wha Would You Rahe Have... $1million, o double you money evey day fo 31 days saing wih 1cen? Day Cens Day Cens

More information

arxiv: v1 [math.co] 4 Apr 2019

arxiv: v1 [math.co] 4 Apr 2019 Dieced dominaion in oiened hypegaphs axiv:1904.02351v1 [mah.co] 4 Ap 2019 Yai Cao Dep. of Mahemaics Univesiy of Haifa-Oanim Tivon 36006, Isael yacao@kvgeva.og.il This pape is dedicaed o Luz Volkmann on

More information

On The Estimation of Two Missing Values in Randomized Complete Block Designs

On The Estimation of Two Missing Values in Randomized Complete Block Designs Mahemaical Theoy and Modeling ISSN 45804 (Pape ISSN 505 (Online Vol.6, No.7, 06 www.iise.og On The Esimaion of Two Missing Values in Randomized Complee Bloc Designs EFFANGA, EFFANGA OKON AND BASSE, E.

More information

Combinatorial Approach to M/M/1 Queues. Using Hypergeometric Functions

Combinatorial Approach to M/M/1 Queues. Using Hypergeometric Functions Inenaional Mahemaical Foum, Vol 8, 03, no 0, 463-47 HIKARI Ld, wwwm-hikaicom Combinaoial Appoach o M/M/ Queues Using Hypegeomeic Funcions Jagdish Saan and Kamal Nain Depamen of Saisics, Univesiy of Delhi,

More information

4 Sequences of measurable functions

4 Sequences of measurable functions 4 Sequences of measurable funcions 1. Le (Ω, A, µ) be a measure space (complee, afer a possible applicaion of he compleion heorem). In his chaper we invesigae relaions beween various (nonequivalen) convergences

More information

@FMI c Kyung Moon Sa Co.

@FMI c Kyung Moon Sa Co. Annals of Fuzzy Mahemaics Infomaics Volume, No. 2, (Apil 20), pp. 9-3 ISSN 2093 930 hp://www.afmi.o.k @FMI c Kyung Moon Sa Co. hp://www.kyungmoon.com On lacunay saisical convegence in inuiionisic fuzzy

More information

Today - Lecture 13. Today s lecture continue with rotations, torque, Note that chapters 11, 12, 13 all involve rotations

Today - Lecture 13. Today s lecture continue with rotations, torque, Note that chapters 11, 12, 13 all involve rotations Today - Lecue 13 Today s lecue coninue wih oaions, oque, Noe ha chapes 11, 1, 13 all inole oaions slide 1 eiew Roaions Chapes 11 & 1 Viewed fom aboe (+z) Roaional, o angula elociy, gies angenial elociy

More information

K. G. Malyutin, T. I. Malyutina, I. I. Kozlova ON SUBHARMONIC FUNCTIONS IN THE HALF-PLANE OF INFINITE ORDER WITH RADIALLY DISTRIBUTED MEASURE

K. G. Malyutin, T. I. Malyutina, I. I. Kozlova ON SUBHARMONIC FUNCTIONS IN THE HALF-PLANE OF INFINITE ORDER WITH RADIALLY DISTRIBUTED MEASURE Математичнi Студiї. Т.4, 2 Maemaychni Sudii. V.4, No.2 УДК 57.5 K. G. Malyuin, T. I. Malyuina, I. I. Kozlova ON SUBHARMONIC FUNCTIONS IN THE HALF-PLANE OF INFINITE ORDER WITH RADIALLY DISTRIBUTED MEASURE

More information

THE MODULAR INEQUALITIES FOR A CLASS OF CONVOLUTION OPERATORS ON MONOTONE FUNCTIONS

THE MODULAR INEQUALITIES FOR A CLASS OF CONVOLUTION OPERATORS ON MONOTONE FUNCTIONS PROCEEDINGS OF THE AMERICAN MATHEMATICAL SOCIETY Volume 5, Numbe 8, Augus 997, Pages 93 35 S -9939(973867-7 THE MODULAR INEQUALITIES FOR A CLASS OF CONVOLUTION OPERATORS ON MONOTONE FUNCTIONS JIM QILE

More information

Reinforcement learning

Reinforcement learning Lecue 3 Reinfocemen leaning Milos Hauskech milos@cs.pi.edu 539 Senno Squae Reinfocemen leaning We wan o lean he conol policy: : X A We see examples of x (bu oupus a ae no given) Insead of a we ge a feedback

More information

A characterization of reciprocal processes via an integration by parts formula on the path space

A characterization of reciprocal processes via an integration by parts formula on the path space A chaaceizaion of ecipocal pocesses via an inegaion by pas fomula on he pah space Sylvie Rœlly Cene de Mahémaiques Appliquées UMR CNRS 764 École Polyechnique 928 Palaiseau Cédex, Fance e-mail : oelly@cmapx.polyechnique.f

More information

Properties of the interface of the symbiotic branching model

Properties of the interface of the symbiotic branching model Popeies of he ineface of he symbioic banching model Jochen Blah 1 and Macel Ogiese 1 (Vesion of 4 Mach 1) Absac The symbioic banching model descibes he evoluion of wo ineacing populaions and if saed wih

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

Quantum Algorithms for Matrix Products over Semirings

Quantum Algorithms for Matrix Products over Semirings CHICAGO JOURNAL OF THEORETICAL COMPUTER SCIENCE 2017, Aicle 1, pages 1 25 hp://cjcscsuchicagoedu/ Quanum Algoihms fo Maix Poducs ove Semiings Fançois Le Gall Haumichi Nishimua Received July 24, 2015; Revised

More information

A STOCHASTIC MODELING FOR THE UNSTABLE FINANCIAL MARKETS

A STOCHASTIC MODELING FOR THE UNSTABLE FINANCIAL MARKETS A STOCHASTIC MODELING FOR THE UNSTABLE FINANCIAL MARKETS Assoc. Pof. Romeo Negea Ph. D Poliehnica Univesiy of Timisoaa Depamen of Mahemaics Timisoaa, Romania Assoc. Pof. Cipian Peda Ph. D Wes Univesiy

More information

Research Article A Note on Multiplication and Composition Operators in Lorentz Spaces

Research Article A Note on Multiplication and Composition Operators in Lorentz Spaces Hindawi Publishing Copoaion Jounal of Funcion Spaces and Applicaions Volume 22, Aicle ID 29363, pages doi:.55/22/29363 Reseach Aicle A Noe on Muliplicaion and Composiion Opeaos in Loenz Spaces Eddy Kwessi,

More information

SOME MORE APPLICATIONS OF THE HAHN-BANACH THEOREM

SOME MORE APPLICATIONS OF THE HAHN-BANACH THEOREM SOME MORE APPLICATIONS OF THE HAHN-BANACH THEOREM FRANCISCO JAVIER GARCÍA-PACHECO, DANIELE PUGLISI, AND GUSTI VAN ZYL Absrac We give a new proof of he fac ha equivalen norms on subspaces can be exended

More information

Hamilton- J acobi Equation: Explicit Formulas In this lecture we try to apply the method of characteristics to the Hamilton-Jacobi equation: u t

Hamilton- J acobi Equation: Explicit Formulas In this lecture we try to apply the method of characteristics to the Hamilton-Jacobi equation: u t M ah 5 2 7 Fall 2 0 0 9 L ecure 1 0 O c. 7, 2 0 0 9 Hamilon- J acobi Equaion: Explici Formulas In his lecure we ry o apply he mehod of characerisics o he Hamilon-Jacobi equaion: u + H D u, x = 0 in R n

More information

Solution to HW 3, Ma 1a Fall 2016

Solution to HW 3, Ma 1a Fall 2016 Solution to HW 3, Ma a Fall 206 Section 2. Execise 2: Let C be a subset of the eal numbes consisting of those eal numbes x having the popety that evey digit in the decimal expansion of x is, 3, 5, o 7.

More information

STUDY OF THE STRESS-STRENGTH RELIABILITY AMONG THE PARAMETERS OF GENERALIZED INVERSE WEIBULL DISTRIBUTION

STUDY OF THE STRESS-STRENGTH RELIABILITY AMONG THE PARAMETERS OF GENERALIZED INVERSE WEIBULL DISTRIBUTION Inenaional Jounal of Science, Technology & Managemen Volume No 04, Special Issue No. 0, Mach 205 ISSN (online): 2394-537 STUDY OF THE STRESS-STRENGTH RELIABILITY AMONG THE PARAMETERS OF GENERALIZED INVERSE

More information

On the local convexity of the implied volatility curve in uncorrelated stochastic volatility models

On the local convexity of the implied volatility curve in uncorrelated stochastic volatility models On he local conexiy of he implied olailiy cue in uncoelaed sochasic olailiy models Elisa Alòs Dp. d Economia i Empesa and Bacelona Gaduae School of Economics Uniesia Pompeu Faba c/ramon Tias Fagas, 5-7

More information

POSITIVE SOLUTIONS WITH SPECIFIC ASYMPTOTIC BEHAVIOR FOR A POLYHARMONIC PROBLEM ON R n. Abdelwaheb Dhifli

POSITIVE SOLUTIONS WITH SPECIFIC ASYMPTOTIC BEHAVIOR FOR A POLYHARMONIC PROBLEM ON R n. Abdelwaheb Dhifli Opuscula Mah. 35, no. (205), 5 9 hp://dx.doi.og/0.7494/opmah.205.35..5 Opuscula Mahemaica POSITIVE SOLUTIONS WITH SPECIFIC ASYMPTOTIC BEHAVIOR FOR A POLYHARMONIC PROBLEM ON R n Abdelwaheb Dhifli Communicaed

More information

MATH 4330/5330, Fourier Analysis Section 6, Proof of Fourier s Theorem for Pointwise Convergence

MATH 4330/5330, Fourier Analysis Section 6, Proof of Fourier s Theorem for Pointwise Convergence MATH 433/533, Fourier Analysis Secion 6, Proof of Fourier s Theorem for Poinwise Convergence Firs, some commens abou inegraing periodic funcions. If g is a periodic funcion, g(x + ) g(x) for all real x,

More information

A characterization of reciprocal processes via an integration by parts formula on the path space

A characterization of reciprocal processes via an integration by parts formula on the path space A chaaceizaion of ecipocal pocesses via an inegaion by pas fomula on he pah space Sylvie Rœlly Cene de Mahémaiques Appliquées UMR CNRS 7641 École Polyechnique 91128 Palaiseau Cédex, Fance e-mail : oelly@cmapx.polyechnique.f

More information

Representing Knowledge. CS 188: Artificial Intelligence Fall Properties of BNs. Independence? Reachability (the Bayes Ball) Example

Representing Knowledge. CS 188: Artificial Intelligence Fall Properties of BNs. Independence? Reachability (the Bayes Ball) Example C 188: Aificial Inelligence Fall 2007 epesening Knowledge ecue 17: ayes Nes III 10/25/2007 an Klein UC ekeley Popeies of Ns Independence? ayes nes: pecify complex join disibuions using simple local condiional

More information

r P + '% 2 r v(r) End pressures P 1 (high) and P 2 (low) P 1 , which must be independent of z, so # dz dz = P 2 " P 1 = " #P L L,

r P + '% 2 r v(r) End pressures P 1 (high) and P 2 (low) P 1 , which must be independent of z, so # dz dz = P 2  P 1 =  #P L L, Lecue 36 Pipe Flow and Low-eynolds numbe hydodynamics 36.1 eading fo Lecues 34-35: PKT Chape 12. Will y fo Monday?: new daa shee and daf fomula shee fo final exam. Ou saing poin fo hydodynamics ae wo equaions:

More information

Notes for Lecture 17-18

Notes for Lecture 17-18 U.C. Berkeley CS278: Compuaional Complexiy Handou N7-8 Professor Luca Trevisan April 3-8, 2008 Noes for Lecure 7-8 In hese wo lecures we prove he firs half of he PCP Theorem, he Amplificaion Lemma, up

More information

Two Coupled Oscillators / Normal Modes

Two Coupled Oscillators / Normal Modes Lecure 3 Phys 3750 Two Coupled Oscillaors / Normal Modes Overview and Moivaion: Today we ake a small, bu significan, sep owards wave moion. We will no ye observe waves, bu his sep is imporan in is own

More information

T L. t=1. Proof of Lemma 1. Using the marginal cost accounting in Equation(4) and standard arguments. t )+Π RB. t )+K 1(Q RB

T L. t=1. Proof of Lemma 1. Using the marginal cost accounting in Equation(4) and standard arguments. t )+Π RB. t )+K 1(Q RB Elecronic Companion EC.1. Proofs of Technical Lemmas and Theorems LEMMA 1. Le C(RB) be he oal cos incurred by he RB policy. Then we have, T L E[C(RB)] 3 E[Z RB ]. (EC.1) Proof of Lemma 1. Using he marginal

More information

PHYS PRACTICE EXAM 2

PHYS PRACTICE EXAM 2 PHYS 1800 PRACTICE EXAM Pa I Muliple Choice Quesions [ ps each] Diecions: Cicle he one alenaive ha bes complees he saemen o answes he quesion. Unless ohewise saed, assume ideal condiions (no ai esisance,

More information

Bernoulli numbers. Francesco Chiatti, Matteo Pintonello. December 5, 2016

Bernoulli numbers. Francesco Chiatti, Matteo Pintonello. December 5, 2016 UNIVERSITÁ DEGLI STUDI DI PADOVA, DIPARTIMENTO DI MATEMATICA TULLIO LEVI-CIVITA Bernoulli numbers Francesco Chiai, Maeo Pinonello December 5, 206 During las lessons we have proved he Las Ferma Theorem

More information

Solutions from Chapter 9.1 and 9.2

Solutions from Chapter 9.1 and 9.2 Soluions from Chaper 9 and 92 Secion 9 Problem # This basically boils down o an exercise in he chain rule from calculus We are looking for soluions of he form: u( x) = f( k x c) where k x R 3 and k is

More information

Math 2142 Exam 1 Review Problems. x 2 + f (0) 3! for the 3rd Taylor polynomial at x = 0. To calculate the various quantities:

Math 2142 Exam 1 Review Problems. x 2 + f (0) 3! for the 3rd Taylor polynomial at x = 0. To calculate the various quantities: Mah 4 Eam Review Problems Problem. Calculae he 3rd Taylor polynomial for arcsin a =. Soluion. Le f() = arcsin. For his problem, we use he formula f() + f () + f ()! + f () 3! for he 3rd Taylor polynomial

More information

GRADIENT ESTIMATES, POINCARÉ INEQUALITIES, DE GIORGI PROPERTY AND THEIR CONSEQUENCES

GRADIENT ESTIMATES, POINCARÉ INEQUALITIES, DE GIORGI PROPERTY AND THEIR CONSEQUENCES GRADIENT ESTIMATES, POINCARÉ INEQUALITIES, DE GIORGI PROPERTY AND THEIR CONSEQUENCES FRÉDÉRIC ERNICOT, THIERRY COULHON, DOROTHEE FREY Absac. On a doubling meic measue space endowed wih a caé du champ,

More information

EXERCISES FOR SECTION 1.5

EXERCISES FOR SECTION 1.5 1.5 Exisence and Uniqueness of Soluions 43 20. 1 v c 21. 1 v c 1 2 4 6 8 10 1 2 2 4 6 8 10 Graph of approximae soluion obained using Euler s mehod wih = 0.1. Graph of approximae soluion obained using Euler

More information

Degree of Approximation of a Class of Function by (C, 1) (E, q) Means of Fourier Series

Degree of Approximation of a Class of Function by (C, 1) (E, q) Means of Fourier Series IAENG Inenaional Jounal of Applied Mahemaic, 4:, IJAM_4 7 Degee of Appoximaion of a Cla of Funcion by C, E, q Mean of Fouie Seie Hae Kihna Nigam and Kuum Shama Abac In hi pape, fo he fi ime, we inoduce

More information

CS 188: Artificial Intelligence Fall Probabilistic Models

CS 188: Artificial Intelligence Fall Probabilistic Models CS 188: Aificial Inelligence Fall 2007 Lecue 15: Bayes Nes 10/18/2007 Dan Klein UC Bekeley Pobabilisic Models A pobabilisic model is a join disibuion ove a se of vaiables Given a join disibuion, we can

More information

Representation of Stochastic Process by Means of Stochastic Integrals

Representation 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 information

A proof of Ito's formula using a di Title formula. Author(s) Fujita, Takahiko; Kawanishi, Yasuhi. Studia scientiarum mathematicarum H Citation

A 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 information

Secure Frameproof Codes Through Biclique Covers

Secure Frameproof Codes Through Biclique Covers Discee Mahemaics and Theoeical Compue Science DMTCS vol. 4:2, 202, 26 270 Secue Famepoof Codes Though Biclique Coves Hossein Hajiabolhassan,2 and Faokhlagha Moazami 3 Depamen of Mahemaical Sciences, Shahid

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

ME 141. Engineering Mechanics

ME 141. Engineering Mechanics ME 141 Engineeing Mechnics Lecue 13: Kinemics of igid bodies hmd Shhedi Shkil Lecue, ep. of Mechnicl Engg, UET E-mil: sshkil@me.bue.c.bd, shkil6791@gmil.com Websie: eche.bue.c.bd/sshkil Couesy: Veco Mechnics

More information

BMOA estimates and radial growth of B φ functions

BMOA estimates and radial growth of B φ functions c Jounal of echnical Univesiy a Plovdiv Fundamenal Sciences and Applicaions, Vol., 995 Seies A-Pue and Applied Mahemaics Bulgaia, ISSN 3-827 axiv:87.53v [mah.cv] 3 Jul 28 BMOA esimaes and adial gowh of

More information

k. s k=1 Part of the significance of the Riemann zeta-function stems from Theorem 9.2. If s > 1 then 1 p s

k. s k=1 Part of the significance of the Riemann zeta-function stems from Theorem 9.2. If s > 1 then 1 p s 9 Pimes in aithmetic ogession Definition 9 The Riemann zeta-function ζs) is the function which assigns to a eal numbe s > the convegent seies k s k Pat of the significance of the Riemann zeta-function

More information

Problem Set #10 Math 471 Real Analysis Assignment: Chapter 8 #2, 3, 6, 8

Problem Set #10 Math 471 Real Analysis Assignment: Chapter 8 #2, 3, 6, 8 Poblem Set #0 Math 47 Real Analysis Assignment: Chate 8 #2, 3, 6, 8 Clayton J. Lungstum Decembe, 202 xecise 8.2 Pove the convese of Hölde s inequality fo = and =. Show also that fo eal-valued f / L ),

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

Lecture 18: Kinetics of Phase Growth in a Two-component System: general kinetics analysis based on the dilute-solution approximation

Lecture 18: Kinetics of Phase Growth in a Two-component System: general kinetics analysis based on the dilute-solution approximation Lecue 8: Kineics of Phase Gowh in a Two-componen Sysem: geneal kineics analysis based on he dilue-soluion appoximaion Today s opics: In he las Lecues, we leaned hee diffeen ways o descibe he diffusion

More information

Low-complexity Algorithms for MIMO Multiplexing Systems

Low-complexity Algorithms for MIMO Multiplexing Systems Low-complexiy Algoihms fo MIMO Muliplexing Sysems Ouline Inoducion QRD-M M algoihm Algoihm I: : o educe he numbe of suviving pahs. Algoihm II: : o educe he numbe of candidaes fo each ansmied signal. :

More information

Lecture 17: Kinetics of Phase Growth in a Two-component System:

Lecture 17: Kinetics of Phase Growth in a Two-component System: Lecue 17: Kineics of Phase Gowh in a Two-componen Sysem: descipion of diffusion flux acoss he α/ ineface Today s opics Majo asks of oday s Lecue: how o deive he diffusion flux of aoms. Once an incipien

More information

An Automatic Door Sensor Using Image Processing

An Automatic Door Sensor Using Image Processing An Auomaic Doo Senso Using Image Pocessing Depamen o Elecical and Eleconic Engineeing Faculy o Engineeing Tooi Univesiy MENDEL 2004 -Insiue o Auomaion and Compue Science- in BRNO CZECH REPUBLIC 1. Inoducion

More information

Statistical inference versus mean field limit for Hawkes processes

Statistical inference versus mean field limit for Hawkes processes Eleconic Jounal of Saisics Vol. 1 216 1223 1295 ISS: 1935-7524 DOI: 1.1214/16-EJS1142 Saisical infeence vesus mean field limi fo Hawkes pocesses Sylvain Delae Laboaoie de Pobabiliés e Modèles Aléaoies,

More information

arxiv: v1 [math.fa] 20 Dec 2018

arxiv: v1 [math.fa] 20 Dec 2018 Diffeeniabiliy of he Evoluion Map and Mackey Coninuiy Maximilian Hanusch axiv:1812.08777v1 mah.fa] 20 Dec 2018 Insiu fü Mahemaik Univesiä Padebon Wabuge Saße 100 33098 Padebon Gemany Decembe 20, 2018 Absac

More information

KINEMATICS OF RIGID BODIES

KINEMATICS OF RIGID BODIES KINEMTICS OF RIGID ODIES In igid body kinemaics, we use he elaionships govening he displacemen, velociy and acceleaion, bu mus also accoun fo he oaional moion of he body. Descipion of he moion of igid

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

dt = C exp (3 ln t 4 ). t 4 W = C exp ( ln(4 t) 3) = C(4 t) 3.

dt = C exp (3 ln t 4 ). t 4 W = C exp ( ln(4 t) 3) = C(4 t) 3. Mah Rahman Exam Review Soluions () Consider he IVP: ( 4)y 3y + 4y = ; y(3) = 0, y (3) =. (a) Please deermine he longes inerval for which he IVP is guaraneed o have a unique soluion. Soluion: The disconinuiies

More information

Control Volume Derivation

Control Volume Derivation School of eospace Engineeing Conol Volume -1 Copyigh 1 by Jey M. Seizman. ll ighs esee. Conol Volume Deiaion How o cone ou elaionships fo a close sysem (conol mass) o an open sysem (conol olume) Fo mass

More information

Computer Propagation Analysis Tools

Computer Propagation Analysis Tools Compue Popagaion Analysis Tools. Compue Popagaion Analysis Tools Inoducion By now you ae pobably geing he idea ha pedicing eceived signal sengh is a eally impoan as in he design of a wieless communicaion

More information

Homework sheet Exercises done during the lecture of March 12, 2014

Homework sheet Exercises done during the lecture of March 12, 2014 EXERCISE SESSION 2A FOR THE COURSE GÉOMÉTRIE EUCLIDIENNE, NON EUCLIDIENNE ET PROJECTIVE MATTEO TOMMASINI Homework shee 3-4 - Exercises done during he lecure of March 2, 204 Exercise 2 Is i rue ha he parameerized

More information

On a Fractional Stochastic Landau-Ginzburg Equation

On 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 information

A note on characterization related to distributional properties of random translation, contraction and dilation of generalized order statistics

A note on characterization related to distributional properties of random translation, contraction and dilation of generalized order statistics PobSa Foum, Volume 6, July 213, Pages 35 41 ISSN 974-3235 PobSa Foum is an e-jounal. Fo eails please visi www.pobsa.og.in A noe on chaaceizaion elae o isibuional popeies of anom anslaion, conacion an ilaion

More information

ENGI 4430 Advanced Calculus for Engineering Faculty of Engineering and Applied Science Problem Set 9 Solutions [Theorems of Gauss and Stokes]

ENGI 4430 Advanced Calculus for Engineering Faculty of Engineering and Applied Science Problem Set 9 Solutions [Theorems of Gauss and Stokes] ENGI 44 Avance alculus fo Engineeing Faculy of Engineeing an Applie cience Poblem e 9 oluions [Theoems of Gauss an okes]. A fla aea A is boune by he iangle whose veices ae he poins P(,, ), Q(,, ) an R(,,

More information

Lecture Notes 2. The Hilbert Space Approach to Time Series

Lecture Notes 2. The Hilbert Space Approach to Time Series Time Series Seven N. Durlauf Universiy of Wisconsin. Basic ideas Lecure Noes. The Hilber Space Approach o Time Series The Hilber space framework provides a very powerful language for discussing he relaionship

More information

The Production of Polarization

The Production of Polarization Physics 36: Waves Lecue 13 3/31/211 The Poducion of Polaizaion Today we will alk abou he poducion of polaized ligh. We aleady inoduced he concep of he polaizaion of ligh, a ansvese EM wave. To biefly eview

More information

MATHEMATICAL FOUNDATIONS FOR APPROXIMATING PARTICLE BEHAVIOUR AT RADIUS OF THE PLANCK LENGTH

MATHEMATICAL FOUNDATIONS FOR APPROXIMATING PARTICLE BEHAVIOUR AT RADIUS OF THE PLANCK LENGTH Fundamenal Jounal of Mahemaical Phsics Vol 3 Issue 013 Pages 55-6 Published online a hp://wwwfdincom/ MATHEMATICAL FOUNDATIONS FOR APPROXIMATING PARTICLE BEHAVIOUR AT RADIUS OF THE PLANCK LENGTH Univesias

More information

Convergence of the Neumann series in higher norms

Convergence of the Neumann series in higher norms Convergence of he Neumann series in higher norms Charles L. Epsein Deparmen of Mahemaics, Universiy of Pennsylvania Version 1.0 Augus 1, 003 Absrac Naural condiions on an operaor A are given so ha he Neumann

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

The sudden release of a large amount of energy E into a background fluid of density

The sudden release of a large amount of energy E into a background fluid of density 10 Poin explosion The sudden elease of a lage amoun of enegy E ino a backgound fluid of densiy ceaes a song explosion, chaaceized by a song shock wave (a blas wave ) emanaing fom he poin whee he enegy

More information

Existence Theory of Second Order Random Differential Equations

Existence Theory of Second Order Random Differential Equations Global Journal of Mahemaical Sciences: Theory and Pracical. ISSN 974-32 Volume 4, Number 3 (22), pp. 33-3 Inernaional Research Publicaion House hp://www.irphouse.com Exisence Theory of Second Order Random

More information

Stanford University CS259Q: Quantum Computing Handout 8 Luca Trevisan October 18, 2012

Stanford University CS259Q: Quantum Computing Handout 8 Luca Trevisan October 18, 2012 Stanfod Univesity CS59Q: Quantum Computing Handout 8 Luca Tevisan Octobe 8, 0 Lectue 8 In which we use the quantum Fouie tansfom to solve the peiod-finding poblem. The Peiod Finding Poblem Let f : {0,...,

More information

Sharif University of Technology - CEDRA By: Professor Ali Meghdari

Sharif University of Technology - CEDRA By: Professor Ali Meghdari Shaif Univesiy of echnology - CEDRA By: Pofesso Ali Meghai Pupose: o exen he Enegy appoach in eiving euaions of oion i.e. Lagange s Meho fo Mechanical Syses. opics: Genealize Cooinaes Lagangian Euaion

More information

arxiv: v1 [math.fa] 9 Dec 2018

arxiv: v1 [math.fa] 9 Dec 2018 AN INVERSE FUNCTION THEOREM CONVERSE arxiv:1812.03561v1 [mah.fa] 9 Dec 2018 JIMMIE LAWSON Absrac. We esablish he following converse of he well-known inverse funcion heorem. Le g : U V and f : V U be inverse

More information

Order statistics and concentration of l r norms for log-concave vectors

Order statistics and concentration of l r norms for log-concave vectors Jounal of Funcional Analysis 61 011 681 696 www.elsevie.com/locae/jfa Ode saisics and concenaion of l noms fo log-concave vecos Rafał Laała a,b, a Insiue of Mahemaics, Univesiy of Wasaw, Banacha, 0-097

More information

23.5. Half-Range Series. Introduction. Prerequisites. Learning Outcomes

23.5. Half-Range Series. Introduction. Prerequisites. Learning Outcomes Half-Range Series 2.5 Inroducion In his Secion we address he following problem: Can we find a Fourier series expansion of a funcion defined over a finie inerval? Of course we recognise ha such a funcion

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

Ann. Funct. Anal. 2 (2011), no. 2, A nnals of F unctional A nalysis ISSN: (electronic) URL:

Ann. 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 information

11!Hí MATHEMATICS : ERDŐS AND ULAM PROC. N. A. S. of decomposiion, properly speaking) conradics he possibiliy of defining a counably addiive real-valu

11!Hí MATHEMATICS : ERDŐS AND ULAM PROC. N. A. S. of decomposiion, properly speaking) conradics he possibiliy of defining a counably addiive real-valu ON EQUATIONS WITH SETS AS UNKNOWNS BY PAUL ERDŐS AND S. ULAM DEPARTMENT OF MATHEMATICS, UNIVERSITY OF COLORADO, BOULDER Communicaed May 27, 1968 We shall presen here a number of resuls in se heory concerning

More information

156 There are 9 books stacked on a shelf. The thickness of each book is either 1 inch or 2

156 There are 9 books stacked on a shelf. The thickness of each book is either 1 inch or 2 156 Thee ae 9 books sacked on a shelf. The hickness of each book is eihe 1 inch o 2 F inches. The heigh of he sack of 9 books is 14 inches. Which sysem of equaions can be used o deemine x, he numbe of

More information

Finite-Sample Effects on the Standardized Returns of the Tokyo Stock Exchange

Finite-Sample Effects on the Standardized Returns of the Tokyo Stock Exchange Available online a www.sciencediec.com Pocedia - Social and Behavioal Sciences 65 ( 01 ) 968 973 Inenaional Congess on Inedisciplinay Business and Social Science 01 (ICIBSoS 01) Finie-Sample Effecs on

More information

f(x) dx with An integral having either an infinite limit of integration or an unbounded integrand is called improper. Here are two examples dx x x 2

f(x) dx with An integral having either an infinite limit of integration or an unbounded integrand is called improper. Here are two examples dx x x 2 Impope Inegls To his poin we hve only consideed inegls f() wih he is of inegion nd b finie nd he inegnd f() bounded (nd in fc coninuous ecep possibly fo finiely mny jump disconinuiies) An inegl hving eihe

More information

Chapter 7: Solving Trig Equations

Chapter 7: Solving Trig Equations Haberman MTH Secion I: The Trigonomeric Funcions Chaper 7: Solving Trig Equaions Le s sar by solving a couple of equaions ha involve he sine funcion EXAMPLE a: Solve he equaion sin( ) The inverse funcions

More information

Backward stochastic dynamics on a filtered probability space

Backward stochastic dynamics on a filtered probability space Backward sochasic dynamics on a filered probabiliy space Gechun Liang Oxford-Man Insiue, Universiy of Oxford based on join work wih Terry Lyons and Zhongmin Qian Page 1 of 15 gliang@oxford-man.ox.ac.uk

More information

3.1 Random variables

3.1 Random variables 3 Chapte III Random Vaiables 3 Random vaiables A sample space S may be difficult to descibe if the elements of S ae not numbes discuss how we can use a ule by which an element s of S may be associated

More information

Risk tolerance and optimal portfolio choice

Risk tolerance and optimal portfolio choice Risk oleance and opimal pofolio choice Maek Musiela BNP Paibas London Copoae and Invesmen Join wok wih T. Zaiphopoulou (UT usin) Invesmens and fowad uiliies Pepin 6 Backwad and fowad dynamic uiliies and

More information

ODEs II, Lecture 1: Homogeneous Linear Systems - I. Mike Raugh 1. March 8, 2004

ODEs II, Lecture 1: Homogeneous Linear Systems - I. Mike Raugh 1. March 8, 2004 ODEs II, Lecure : Homogeneous Linear Sysems - I Mike Raugh March 8, 4 Inroducion. In he firs lecure we discussed a sysem of linear ODEs for modeling he excreion of lead from he human body, saw how o ransform

More information

ON 3-DIMENSIONAL CONTACT METRIC MANIFOLDS

ON 3-DIMENSIONAL CONTACT METRIC MANIFOLDS Mem. Fac. Inegaed As and Sci., Hioshima Univ., Se. IV, Vol. 8 9-33, Dec. 00 ON 3-DIMENSIONAL CONTACT METRIC MANIFOLDS YOSHIO AGAOKA *, BYUNG HAK KIM ** AND JIN HYUK CHOI ** *Depamen of Mahemaics, Faculy

More information

CONTRIBUTION TO IMPULSIVE EQUATIONS

CONTRIBUTION TO IMPULSIVE EQUATIONS European Scienific Journal Sepember 214 /SPECIAL/ ediion Vol.3 ISSN: 1857 7881 (Prin) e - ISSN 1857-7431 CONTRIBUTION TO IMPULSIVE EQUATIONS Berrabah Faima Zohra, MA Universiy of sidi bel abbes/ Algeria

More information

Matrix Versions of Some Refinements of the Arithmetic-Geometric Mean Inequality

Matrix 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 information

Chapter 2. First Order Scalar Equations

Chapter 2. First Order Scalar Equations Chaper. Firs Order Scalar Equaions We sar our sudy of differenial equaions in he same way he pioneers in his field did. We show paricular echniques o solve paricular ypes of firs order differenial equaions.

More information