Conservativeness of Semigroups Generated by Pseudo Differential Operators
|
|
- Bruce Pearson
- 6 years ago
- Views:
Transcription
1 Potential Analysis 9: , c 1998 Kluwer Academic Publishers. Printed in the Netherlands. Conservativeness of Semigroups Generated by Pseudo Differential Operators RENÉ L. SCHILLING? Mathematisches Institut, Universität Erlangen, Bismarckstraße 1 1, D Erlangen, Germany 2 (Received: 15 March 1996; accepted: 14 June 1996) Abstract. Assume that the pseudo differential operator,q(x; D) generates a Fellerian or sub- Markovian semigroup. Under some natural additional conditions on the symbol,q(x; ) we prove that the operator,q(x; D) is conservative if and only if q(x; 0) 0. Mathematics Subject Classifications (1991): Primary: 60J35; Secondary: 47D07, 47G30, 35S05. Key words: Conservativeness, Feller semigroup, Markov semigroup, pseudo differential operator. 1. Introduction A (C 0 )-semigroup ft t g t>0 of contraction operators on a Banach space of real functions (X; kk) is said to be positive andtohavethesub-markov property if 0 6 T t u 6 1(inX) whenever u 2 X and 0 6 u 6 1. If (X; kk) = (L 2 ( ;dm); kk L2 ) (one could also consider some open ), we call ft t g t>0 a sub-markovian semigroup,if(x; kk)=(c 1 ( ); kk 1 ), the Banach space of continuous functions vanishing at infinity, we call ft t g t>0 a Feller semigroup.in either case, the operators T t are positive and continuous, and there exist representing kernels p t (x; ) of sub-probability measures s.t. T t u(x) = u(y)p t (x; dy); x 2 (1.1) holds for, say, compactly supported continuous functions u. Clearly, (1.1) allows us to extend the operators T t to all bounded measurable functions B b ( ) and we will do so without changing our notation. Therefore, the following definition of conservativeness makes sense. DEFINITION 1.1. A sub-markovian semigroup ft t g t>0 is said to be conservative if T t 1 = 1 holds almost surely. A Fellerian semigroup ft t g t>0 is said to be conservative if T t 1 = 1 everywhere.? Financial support by DFG post-doctoral fellowship Schi 419/1 1 is gratefully acknowledged. Part of this work was done while the author was HCM-fellow at the University of Warwick, Coventry. He would like to thank, in particular, D. Elworthy for his hospitality.
2 92 RENÉ L. SCHILLING If A is the infinitesimal generator of the sub-markovian or Fellerian semigroup ft t g t>0, we call A conservative whenever ft t g t>0 is and we will use both notions interchangeably. An intuitive meaning of conservativeness can be given with the help of stochastic processes. It is well-known that both Fellerian semigroups and whenever there is a quasi-regular semi-dirichlet form in the sense of [12] associated also sub- Markovian semigroups give rise to stochastic processes. The relation between them is, in the Feller case, given by T t 1 B (x) =P x (X t 2 B) for all x 2 and all Borel sets B, and in the sub-markovian context given by e T t u(x) = E x u(x t ) for all x outside a set of capacity zero and all u 2 L 2 ( ;dm). Here, e stands for the quasi-continuous modification, cf. [6, 12]. Therefore, we find 1 = T t 1(x) =E x 1 = P x (X t 2 ) a:s: Thus, a conservative process fx t g t>0 has a.s. infinite life-time. For a thorough discussion of the life-time formalism and its consequences we refer to the monograph [6]. Here we will present an example that sheds some light on our subsequent considerations. Let fs t g t>0 denote a sub-markovian convolution semigroup on L 2 ( ). In this special setting, fs t g t>0 is also a Feller semigroup. The process fx t g t>0 corresponding to a convolution semigroup is known to be a Lévy process, cf. [1, Chap. 8], that is a -valued and stochastically continuous process with stationary and independent increments. Note, that X t is spatially homogeneous in the sense that law(x t jx 0 = x) =law(x t + xjx 0 = 0). The infinite divisibility of its law gives the Fourier transform a particularly simple structure E x e ixt = e,t () ; x; 2 ; (1.2) where the continuous negative definite characteristic exponent is described by the Lévy-Khinchine formula () = ` + ib +(; Q) + x6=0 1, e,ix, ix 1 + kxk kxk 2 kxk 2 (dx); 2 ; (1.3) with ` > 0;b 2 ;Q 2 n non-negative definite, and the finite jump (Lévy) measure on nf0g. For further reference we note that p j j is subadditive and locally bounded, hence, j ()j 6 c (1 + kk 2 ) holds for some constant c. Many other properties of negative definite functions are discussed in [1]. With some routine calculations, cf. [3], one easily checks that S t u(x) = e ix e,t () ^u() d, ; u 2 C 1 c (Rn ); x 2 (1.4)
3 CONSERVATIVENESS, SEMIGROUPS AND PSEUDO DIFFERENTIAL OPERATORS 93 and, see also [1, Chap. 12] Au(x) =, (D)u(x) =, e ix ()^u() d, ; u 2 C 1 c (Rn ); x 2 (1.5) are valid, where ^u() = R e,ix u(x) d, x denotes the Fourier transform and d, x =(2),n=2 dx is normalized Lebesgue measure. It is clear from (1.4) and (1.5) that fs t g t>0 (or A or fx t g t>0) is conservative if and only if (0) =0. Since the work of Courrège [4] it is known that the generator of a Fellerian semigroup such that C 2 c (Rn ) is contained in its domain is necessarily of the form,q(x; D)u(x) =, e ix q(x; )^u() d, ; u 2 C 1 c (Rn ); x 2 ;(1.6) where q :! C is locally bounded and 7! q(x; ) is continuous negative definite, that is, admits for every x 2 alévy Khinchine representation (1.3). We will call operators of the form (1.6) pseudo differential operators and q(x; ) the symbol of the operator. Note that (1.5) is a special, namely spatially homogeneous or constant coefficient, case of (1.6). In a series of papers Jacob [10] and Hoh [7, 8] see also the references listed there gave sufficient conditions for the symbol such that,q(x; D)jC 1 c (Rn ) extends to a generator of a Feller semigroup ft t g t>0. In [10] the problem was analytically treated, regarding,q(x; D) as a perturbation of a constant coefficient (Lévy) generator,q 1 (D). Basically the following four assumptions were used q :! R is continuous and q(x; ) is negative definite; (1.7) q(x; ) =q(x 0 ;)+(q(x; ), q(x 0 ;)) q 1 () +q 2 (x; ); (1.8) 1 (1 + a 2 ()) q 1 () 6 0 (1 + a 2 ()) for some constant 0 0 and a fixed continuous negative definite a 2 () s:t: for large jj; 2 a 2 () > cjj r 0 holds with some constants c>0; r 0 > 0; (1.9) j@ x q 2(x; )j 6 (x)(1 + a 2 ()) for 2 N n 0 ; jj 6 m; with 2 L 1 ( ) (1:10:m) for sufficiently large m (depending on the dimension n) and with some additional assumptions on the smallness of the perturbation P jj6m k k L 1 regarding 0 and r 0.
4 94 RENÉ L. SCHILLING Using a martingale problem approach, Hoh [7, 8] was able to improve on this result, requiring only 2 L 1 ( ) instead of 2 L 1 ( ), thus discarding the smallness condition on P jj6m k k L 1. With both approaches we also get a L 2 -sub-markovian semigroup again denoted by ft t g t>0 if,e.g.,,q(x; D)jC 1 c (Rn ) is a symmetric operator on L 2 ( ), see [10, 8]. Comparing the perturbed situation with the Lévy case discussed above, one is led to conjecture that the generator,q(x; D) of a Feller semigroup is conservative if and only if q(x; 0) 0. In fact, Hoh assumes q(x; 0) 0 and concludes via the well-posedness of the martingale problem that its solution fx t g t>0 (or ft t g t>0)is conservative, cf. [8, Rem. before Lem. 3.3]. Using Oshima s conservativeness criterion [13], Hoh and Jacob [9] gave the corresponding conservativeness condition for a pseudo differential operator,q(x; D) which generates a L 2 -sub-markovian semigroup. They, however, assumed that q(x; ) is of a particular structure. That q(x; 0) 0 is also necessary for the conservativeness of a Feller generator,q(x; D) was recently shown by Jacob [11] under the assumption that the twice differentiable and uniformly continuous functions C 2 u (Rn ) are contained in D(,q(x; D)). In practice, this amounts to showing that,q(x; D) generates a strong Feller semigroup. In this note we will show that q(x; 0) 0 is a necessary and sufficient condition for the conservativeness of,q(x; D) both as generator of a Fellerian and sub- Markovian semigroup without assuming any more but (1.7) (1:10:n + 1). Our results are summarized in the following Theorem. THEOREM 1.2. Assume that,q(x; D) given by (1.6) generates a Feller semigroup ft t g t>0 and that the symbol q(x; ) satisfies (1.7) (1.9). (i) If(1.10.0) holds with 0 2 L 1 ( ) \ L 1 ( ),thenq(x; 0) 0 implies that,q(x; D) is conservative. (ii) If (1.10.n + 1) holds and if q(x; 0) is bounded, then q(x; 0) 0 follows from the conservativeness of,q(x; D). Assume that,q(x; D) as in (1.6) generates a sub-markovian semigroup ft t g t>0 and that the symbol q(x; ) satisfies (1.7) (1.10.n+1) with 0 2 L 1 ( )\L 1 ( ). Then,q(x; D) is conservative if and only if q(x; 0) 0. The assumptions (1.7) (1.10.m) made in Theorem 1.2 are neither artificial nor additional. In fact, they are a bit weaker or coincide with the assumptions used by Jacob and/or Hoh to guarantee the existence of an extension of,q(x; D)jC 1 c (Rn ) to a Fellerian or sub-markovian generator. We defer the proof of Theorem 1.2 to Sections 2 and 3 below. Note that the result stated under (i) is already contained in [8]. Our proof mimicks the methods developed there (in particular [8, Lem. 3.3]) but is simpler as it does not rely on the well-posedness of the martingale problem.
5 CONSERVATIVENESS, SEMIGROUPS AND PSEUDO DIFFERENTIAL OPERATORS 95 NOTATION. We write d, x =(2),n=2 dx for the normalized Lebesgue measure on and e (x) =e,ix. C c ( );C 1 ( );C b ( ),andb b ( ) denote the continuous functions with compact support, vanishing at infinity, bounded, and the bounded Borel measurable functions, respectively; superscripts refer to differentiability properties. All other notations are standard or should be clear from the context. 2. Sufficient Conditions In order to overcome the restrictions assumed in [11], we need some terminology which we borrow from [5, p. 111 and p. 166]. Thebounded pointwise it (bp-it) of a sequence of bounded measurable functions fu k g k2n B b ( ) is defined by bp, k!1 u k = u if sup k ku k k 1 < 1 and k!1 u k(x) =u(x); x 2 : (2.1) As usual, the bp-closure of a subset A B b ( ) is the smallest closed (w.r.t. bp-its) set containing A. The following Lemma is implicitly included in [5, p. 166]. LEMMA 2.1. Let A be the infinitesimal generator of a contractive (C 0 )- semigroup ft t g t>0 on the Banach space (X; kk 1 );X B b ( ). Then the following implications hold: (i)! (ii)! (iii) with (i) (1; 0) 2 bp-closure f(u; v) 2 X X : u 2 D(A) & v = Aug. (ii) (1; 0) 2f(u; v) 2 B b ( ) B b ( ): T t u, u R 1 = 0 T sv dsg. (iii) A is conservative, i.e., T t 1 = 1. Proof. The implication (ii)! (iii) is immediate. In order to see (i)! (ii), note that the set in (ii) is bp-closed and contains Graph(A). 2 We can now give a sufficient condition for the generator of a Feller semigroup to be conservative. PROPOSITION 2.2. Assume that,q(x; D) generates a Feller semigroup ft t g t>0 where q(x; ) satisfies (1.7) (1.10.0) with 0 2 L 1 ( )\L 1 ( ).Thenq(x; 0) 0 implies that,q(x; D) is conservative. Proof. The requirement that k 0 k 1 < 1 implies q(x; ) 6 (k 0 k )(1 + a 2 ()) 6 c a 2 (k 0 k )(1 + kk 2 ): (2.2) Choose the approximate identity g k (x) =e,kxk2 =2k 2 ;k 2 N;x 2, and observe q(x; D)g k (x) = e ix q(x; )^g k () d,
6 96 RENÉ L. SCHILLING = e ix q(x; )k n e,k2 kk 2 =2 d, = e ix=k q x; e,kk2 =2 d, : (2.3) k From (2.2) we conclude! Rn jq(x; D)g k (x)j 6 c a 2 (k 0 k ) 1 + kk2 e,(kk2 =2) d, 6 c a 2 (k 0 k ) k 2 (1 + kk 2 ) e,(kk2 =2) d, ; i.e., sup k2n jq(x; D)g k (x)j < 1. The above estimate holds pointwise for the integrand and we may use the dominated convergence theorem in (2.3) to find k!1 q(x; D)g k(x) =q(x; 0) =0; in bp-sense. Since also bp k!1 g k = 1, we conclude that (1,0) lies in the bpclosureofgraph(,q(x; D)), and, bylemma2.1, that,q(x; D) is conservative. 2 Proposition 2.2 is quite general in the sense that the only assumptions we need are q(x; 0) 0 and q(x; ) 6 c(1 + kk 2 ); (2.4) uniformly in x 2. For sub-markovian semigroups we can even do without the second estimate. The proof is less straightforward than in the Feller case and we need some preparations. LEMMA 2.3. Let ft t g t>0 be a contractive (C 0 )-semigroup on a Banach space (X; kk) and denote by A its infinitesimal generator. Then kauk = sup T t u, u t>0 t (2.5) holds for all u 2 D(A). IfX is reflexive, we have u 2 D(A) if and only if sup T t u, u t>0 t < 1: (2.6) Proof. Observe that T t u, u 1 = t t t 0 T s Auds holds for all u 2 D(A). By the triangle inequality and contractivity we get T t u, u t 6 1 t kt s Auk ds 6 1 t kauk ds = kauk t t 0 0
7 CONSERVATIVENESS, SEMIGROUPS AND PSEUDO DIFFERENTIAL OPERATORS 97 1 and (2.5) follows from t!0 t kt tu,uk = kauk if u 2 D(A). Since for reflexive spaces X D(A) = u 2 X : inf T t u, u t!0 t < 1 is true, cf. [2, p. 88, Thm (c)], (2.5) implies (2.6). 2 LEMMA 2.4. Assume that the function q 2 (x; ) satisfies (1.10.n + 1). Then the Fourier transform w.r.t. x satisfies ^q 2 (;) 2 L 2 and is polynomially bounded in. Proof. It is well-known, cf. [10, Lem. 2.1] that (1.10.n + 1) implies ^q 2 (; ) 6 c(1 + a 2 ())(1 + kk 2 ),(n+1)=2 6 c 0 a (1 2 + kk 2 )(1 + kk 2 ),(n+1)=2 ; (2.7) which shows the square integrability. 2 PROPOSITION 2.5. Assume that,q(x; D) generates a sub-markovian semigroup ft t g t>0 and that q(x; ) satisfies (1.7) (1.10.n + 1). Then q(x; 0) 0 implies that,q(x; D) is conservative. Proof. Denote by g k (x) = e,kxk2 =2k 2 ;k 2 N;x 2, and observe ^g k () = k n^g 1 (kx). By (1.8) we have q(x; ) = q 1 () +q 2 (x; ) with q 1 (0) = 0, i.e. the convolution (Lévy) semigroup generated by,q 1 (D) is conservative. For any v 2 C 1 c (Rn ) we have by Lemma t j(t tg k, g k ;v) L 2j 6 sup j(q(x; D)g k ;v) L 2j kvk L 2=1 6 kq 1 (D)g k k L 2 + sup j(q 2 (x; D)g k ;v) L 2j: (2.8) kvk L 2=1 Using Plancherel s Theorem and dominated convergence we find k!1 kq 1(D)g k k L 2 = k!1 kq 1^g k k L 2 = k!1 kq 1(=k)^g 1 k L 2 = 0 and it is enough to consider the second term on the right-hand side of (2.8). A routine calculation shows for any v 2 C 1 c (Rn ) (q 2 (x; D)g k ;v) L 2 = ^q 2 (, ; )^g k ()^v() d, d, ; where ^q 2 (; ) stands for the Fourier transform w.r.t. the first variable. Now sup j(q 2 (x; D)g k ;v) L 2j kvk L 2=1
8 98 RENÉ L. SCHILLING = sup ^q 2 (, ; )^g k ()^v() d, d, kvk L 2=1 6 (2),n=2 sup ^q 2 (,; )^g k () d, kvk L 2=1 L 2 k^vk L 2 6 (2),n=2 k^q 2 (,; )k L 2j^g k ()j d, = (2),n=2 ^q 2 ; L j^g 1 ()j d, : k 2 Lemma 2.4, (2.7), shows that ^q 2 (; n=k) is square integrable and uniformly for all k polynomially bounded in. By dominated convergence we get k!1 ^q 2 ; k L 2 = k^q 2 (; 0)k L 2: Another application of dominated convergence note that (2.7) also implies k^q 2 (; n=k)k L 2 6 c(1 + kk 2 ) uniformly in k,andthat(1 + kk 2 )^g 1 2 L 1 ( ) yields k!1 ^q 2 ; k L 2 j^g 1 ()j d, = = k!1 ^q 2 ; k L 2 j^g 1 ()j d, k^q 2 (; 0)k L 2j^g 1 ()j d, : Plancherel s Theorem shows k^q 2 (; 0)k L 2 = kq 2 (; 0)k L 2 = 0 and we find 1 k!1 t j(t tg k, g k ;v) L 2j = 0; for all t>0andanyv 2 C 1 c (Rn ). Since by dominated convergence k!1 T t g k = T t 1, and also 0 = k!1 j(t tg k, g k ;v) L 2j = j(t t 1, 1;v) L 2j; for all v 2 C 1 c (Rn ), we conclude that T t 1 = 1a.s Necessary Conditions In this section we will show that as in the case of convolution (Lévy) semigroups q(x; 0) 0 whenever,q(x; D) generates a conservative Feller or sub-markov
9 CONSERVATIVENESS, SEMIGROUPS AND PSEUDO DIFFERENTIAL OPERATORS 99 semigroup ft t g t>0 and satisfies (1.7) (1.10.n + 1). This follows from the more general result d dt t(x; ) =,q(x; ); x; 2 ; (3.1) t=0 where t (x; ) is the symbol of the operator T t, t (x; ) =e, (x)t t e (x): (3.2) The relation (3.1) was shown by Jacob [11] under the assumption that C 2 u (Rn ), and in particular the functions e (x) = e,ix ;x; 2, is in the domain of the (Feller) generator,q(x; D).Forpractical use this meansthat one should consider strongly Fellerian semigroups ft t g t>0. The following Theorem is valid without this restriction. THEOREM 3.1. Assume that,q(x; D) generates a conservative Feller semigroup ft t g t>0 and that the symbol,q(x; ) satisfies (1.7) (1.10.n + 1) with 0 2 L 1 ( ) \ L 1 ( ).Then d dt t(; x) =,q(x; ) (3.3) t=0 holds for all x; 2. Proof. The proof is a bit involved and we postpone somewhat technical details to the Lemmas 3.2, 3.3 below. Pick a 1 2 C 1 c (Rn ) such that 1 B1 (0) B2 (0) and set k (x):= 1 (x=k). Clearly, k (x)! 1ask! 1 and ^ k () = k n ^ 1 (k). From Lemmas 3.2, 3.3 below we know jt s q(x; D)(e k )(x)j 6 c; c = c ; 2 ; uniformly in x 2 ;s> 0, and k 2 N. Sincee k 2 D(q(x; D)), wefind T t e (x), e (x) = k!1 (T t(e k )(x), e (x) k (x)) t Combining Lemma 3.2 and 3.3 below we get =, T s q(x; D)(e k )(x)ds k!1 0 t =, k!1 T sq(x; D)(x; D)(e k )(x)ds: k!1 T sq(x; D)(e k )(x) =T s (q(;)e )(x): 0
10 100 RENÉ L. SCHILLING Thus t (x; ), 1 t = e T te (x), e (x), (x) t t =, e,(x) T s (q(;)e )(x)ds: (3.4) t 0 Since q(;) e is bounded for fixed 2, thus T s (q(;) e )(x)! q(x; ) e (x) as s! 0 and therefore 1 t T s (q(;) e )(x) ds, q(x; ) e (x) t 0 = 1 t (T s (q(;) e )(x), q(x; ) e (x))ds t 0 6 sup j(t s, id)(q(;) e )(x)j; s6t which tends to 0 as t! 0. This implies t (x; ), 1 = e, (x)q(x; ) e (x); k!1 t for all x; 2 and the Theorem follows. 2 In the above proof of Theorem 3.1 we referred to the following Lemmas. LEMMA 3.2. Let,q(x; D) =,q 1 (D), q 2 (x; D); ft t g t>0, and k be as in Theorem 3.1.Then k!1 T sq 2 (x; D)(e k )(x) =T s (q 2 (;) e )(x) holds true and for every 2 jt s q 2 (x; D)(e k )(x)j 6 c; c = c uniformly in x 2 ;s> 0, and k 2 N. Proof. Note that F x7! (q 2 (x; D)(e k )(x))() = e,ix q 2 x; k R + n x; k + e ix=k e ix ^ 1 ()d, d, x = e,ix(,,=k) q 2 = ^q 2, k + ; k + ^ 1 ()d, ; ^ 1 ()d, d, x
11 CONSERVATIVENESS, SEMIGROUPS AND PSEUDO DIFFERENTIAL OPERATORS 101 where ^q 2 (; ) denotes the Fourier transform w.r.t the first variable. The interchange of the order of integration was justified by the fact that ^ 1 is rapidly decreasing and q 2 x; k (x) 1 + a 2 k + 6 c a 2 0 (x) 1 + k + 2! 6 2c a 2 0 (x)(1 + kk 2 ) 1 +! 2 ; k with 0 2 L 1 ( ). Since T t is a pseudo differential operator with symbol t (x; ) we get T s q 2 (;D)(e k )(x), ; k + k + ^ 1 ()d, d, : = e ix s (x; )^q 2 For the integrand the following estimate holds eix s (x; )^q 2, ; k + k + ^ 1 () 6 ^q 2, k + ; k + j ^ 1 ()j! 6 C 1 + 2,(n+1)=2, k a 2 k + j ^ 1 ()j ; (by Lemma 2.4) 6 C 0 2 n+2 (1 + kk 2 ),(n+1)=2 (1 + kk 2 ) (n+1)=2 1 + k (1 + a 2 ()) (using 3 Peetre s inequality) 1 + a 2 j ^ 1 ()j; k 6 C 0 C 2 a 2 2 n+2 (1 + kk 2 ) (n+3)=2 (1 + kk 2 ),(n+1)=2 (1 + kk 2 ) (n+3)=2 j ^ 1 ()j: 2! (n+1)=2 The right-hand side is integrable in and, and the estimate is uniform in x 2, s>0, and k 2 N. Therefore, we can use dominated convergence and arrive at k!1 T sq 2 (;D)(e k )(x)
12 102 RENÉ L. SCHILLING = e ix s (x; ) k!1 ^q 2, k + ; k + ^ 1 ()d, d, and = = = (0) e ix s (x; )^q 2 (, ; )^ 1 ()d, d, e ix s (x; )^q 2 (, ; )d, s (x; ) e ix (q 2 (;)e )^()d, ^ 1 ()d, = T s (q 2 (;)e )(x) sup x2 sup s>0 sup jt s q 2 (;D)(e k )(x)j 6 c(n; a 2 ; 1 ;): 2 k2n The following Lemma has essentially the same proof as Lemma 3.2. LEMMA 3.3. Let,q(x; D) =,q 1 (D), q 2 (x; D); ft t g t>0, and k be as in Theorem 3.1. Then k!1 T sq 1 (D)(e k )(x) =T s (q 1 ()e )(x) holds true and for every 2 jt s q 1 (D)(e k )(x)j 6 c; c = c ; uniformly in x 2 ;s> 0, and k 2 N. Assume now, that in the situation of Theorem 3.1 the generator,q(x; D) is conservative, i.e., T t 1 = 1forallt>0. Then t (x; 0) =T t 1 = 1 and we find,q(x; 0) = d dt t(x; 0) t (x; 0), 1 = = 0: t=0 t!0 t The above calculation employs Theorem 3.1 only for = 0. It is therefore clear from the proof of Theorem 3.1 (below formula (3.4)) that we only have to assume that q(x; 0) is bounded rather than q(x; ) 6 c(1 +kk 2 ). This proves the following result. COROLLARY 3.4. Assume that,q(x; D) generates a conservative Feller semigroup ft t g t>0 and that the symbol,q(x; ) satisfies (1.7) (1.10.n + 1). Then q(x; 0) 0 holds true.
13 CONSERVATIVENESS, SEMIGROUPS AND PSEUDO DIFFERENTIAL OPERATORS 103 COROLLARY 3.5. Assume that,q(x; D) generates a conservative L 2 ( )-sub- Markovian semigroup ft t g t>0 and that the symbol,q(x; ) satisfies (1.7) (1.10.n+ 1).Thenq(x; 0) 0 holds true. Proof. Choose a compact set K and a v 2 C 1 c (Rn ) with supp v K. Since we used the Feller property only in the last stage of the proof of Theorem 3.1, we may use (3.4) and restate it in the form 1 t 0 =, T s q(; 0)ds; v =, 1 t (T s q(; 0);v) L 2ds; t 0 L 2 t 0 (remember that = 0; e 1, and t (x; ) = 1). Using Lemma 3.6 below, we deduce as in the proof of Theorem =(q(; 0);v) L 2 : Since K and v were arbitrary, we get q(x; 0) = 0 a.s. and then, because of the continuity of q(x; ), everywhere. 2 It remains to show the following Lemma. LEMMA 3.6. Let ft t g t>0 be a L 2 -sub-markovian semigroup. Then t!0 (T tu; v) L 2 =(u; v) L 2 ; for all u 2 C b ( ) and every v 2 C c ( ). Proof. Fixa v 2 C c ( ) and assume that supp v is contained in a compact set K. Choose some approximate identity f k g k2n ; k 2 C 1 c (Rn ); 1 Bk (0) 6 k 6 1 Bk+1(0), andsetu k = u k.then j(t t u, u; v) L 2j 6 j(t t u, T t u k ;v) L 2j + j(t t u k, u k ;v) L 2j +j((u k, u)1 K ;v) L 2j: (3.5) From the conservativeness, T t 1 = 1, we get (T tu, T t u k ;v) L 2 t!0 = j(t t(u, u k );v) L 2j t!0 6 t!0 (kuk 1 T t (1, k ); jvj) L 2 = kuk 1 t!0 (1, T t k ; jvj) L 2 = kuk 1 (1; jvj) L 2, t!0 (T t k ; jvj) L 2 = 0:
14 104 RENÉ L. SCHILLING For u k 2 C c ( ) we clearly have t!0 j(t t u k, u k ;v) L 2j = 0 and since K is compact, k!1 j((u k, u)1 K ;v) L 2j = 0. Thus, the assertion follows letting in (3.5) first t! 0andthenk!1. 2 Note that the proof of Lemma 3.6 is in line with Oshima s criterion for conservativeness of Dirichlet forms, cf. [13]. References 1. Berg, C. and Forst, G.: Potential Theory on Locally Compact Abelian Groups, Springer, Ergebnisse der Mathematik und ihrer Grenzgebiete, II. Ser. 87, Berlin, Butzer P.L. and Berens, H.: Semi-Groups of Operators and Approximation, Springer, Grundlehren Math. Wiss. Bd. 145, Berlin, Courrège, Ph.: Générateur infinitésimal d un semi-groupe de convolution sur, et formule de Lévy Khinchine, Bull. Sci. Math. 2 e sér. 88 (1964), Courrège, Ph.: Sur la forme intégro-différentielle des opérateurs de C 1 K dans C satisfaisant au principe du maximum, Sém. Théorie du Potentiel (1965/66), 38pp. 5. Ethier, St.E. and Kurtz, Th.G.: Markov Processes: Characterization and Convergence, Wiley, Series in Prob. and Math. Stat., New York, Fukushima, M., Oshima, Y. and Takeda, M.: Dirichlet Forms and Symmetric Markov Processes, de Gruyter, Studies in Math. 19, Berlin, Hoh, W.: The martingale problem for a class of pseudo differential operators, Math. Ann. 300 (1994), Hoh, W.: Pseudo differential operators with negative definite symbols and the martingale problem, Stoch. and Stoch. Rep. 55 (1995), Hoh, W. and Jacob, N.: Upper bounds and conservativeness for semigroups associated with a class of Dirichlet forms generated by pseudo differential operators, Forum Math. 8 (1996), Jacob, N.: A class of Feller semigroups generated by pseudo differential operators, Math (1994), Jacob, N.: Characteristic functions and symbols in the theory of Feller processes, Warwick Preprints 46 (1995); Potential Analysis 8 (1998), Ma,.M., Overbeck, L., and Röckner, M.: Markov processes associated with semi-dirichlet forms, Osaka J. Math. 32 (1995), Oshima, Y.: On conservativeness and recurrence criteria for Markov processes, Potential Analysis 1 (1992),
ON THE FRACTIONAL CAUCHY PROBLEM ASSOCIATED WITH A FELLER SEMIGROUP
Dedicated to Professor Gheorghe Bucur on the occasion of his 7th birthday ON THE FRACTIONAL CAUCHY PROBLEM ASSOCIATED WITH A FELLER SEMIGROUP EMIL POPESCU Starting from the usual Cauchy problem, we give
More informationESTIMATES FOR FELLER SEMIGROUPS GENERATED BY PSEUDODIFFERENTIAL OPERATORS Niels Jacob and Rene L. Schilling It is well known that the generator A of a
ESTIMATES FOR FELLER SEMIGROUPS GENERATED BY PSEUDODIFFERENTIAL OPERATORS Niels Jacob and Rene L. Schilling It is well known that the generator A of a Feller semigroup ft t g t on C (R n ) satises the
More informationMathematische Annalen
Math. Ann. 309, 663 675 (1997 Mathematische Annalen c Springer-Verlag 1997 On Feller processes with sample paths in Besov spaces René L. Schilling Mathematisches Institut, Universität Erlangen, Bismarckstraße
More informationSTABILITY OF THE FELLER PROPERTY FOR NON-LOCAL OPERATORS UNDER BOUNDED PERTURBATIONS
GLASNIK MATEMATIČKI Vol. 45652010, 155 172 STABILITY OF THE FELLER PROPERTY FOR NON-LOCAL OPERATORS UNDER BOUNDED PERTURBATIONS Yuichi Shiozawa and Toshihiro Uemura Ritsumeikan University, Japan and University
More informationSTUDY OF DEPENDENCE FOR SOME STOCHASTIC PROCESSES: SYMBOLIC MARKOV COPULAE. 1. Introduction
STUDY OF DEPENDENCE FO SOME STOCHASTIC POCESSES: SYMBOLIC MAKOV COPULAE TOMASZ. BIELECKI, JACEK JAKUBOWSKI, AND MAIUSZ NIEWȨG LOWSKI Abstract. We study dependence between components of multivariate nice
More informationA CLASS OF DIRICHLET FORMS GENERATED BY PSEUDO DIFFERENTIAL OPERATORS
An. Şt. Univ. Ovidius Constanţa Vol. 112, 23, 119 126 A CLASS OF DIRICHLET FORMS GENERATED BY PSEUDO DIFFERENTIAL OPERATORS Emil Popescu Abstract We prove that under suitable assumptions it is possible
More informationON THE REGULARITY OF SAMPLE PATHS OF SUB-ELLIPTIC DIFFUSIONS ON MANIFOLDS
Bendikov, A. and Saloff-Coste, L. Osaka J. Math. 4 (5), 677 7 ON THE REGULARITY OF SAMPLE PATHS OF SUB-ELLIPTIC DIFFUSIONS ON MANIFOLDS ALEXANDER BENDIKOV and LAURENT SALOFF-COSTE (Received March 4, 4)
More informationA Concise Course on Stochastic Partial Differential Equations
A Concise Course on Stochastic Partial Differential Equations Michael Röckner Reference: C. Prevot, M. Röckner: Springer LN in Math. 1905, Berlin (2007) And see the references therein for the original
More informationExistence and approximation of Hunt processes associated with generalized Dirichlet forms
Existence and approximation of Hunt processes associated with generalized Dirichlet forms Vitali Peil and Gerald Trutnau 1 Abstract. We show that any strictly quasi-regular generalized Dirichlet form that
More informationA NOTE ON STOCHASTIC INTEGRALS AS L 2 -CURVES
A NOTE ON STOCHASTIC INTEGRALS AS L 2 -CURVES STEFAN TAPPE Abstract. In a work of van Gaans (25a) stochastic integrals are regarded as L 2 -curves. In Filipović and Tappe (28) we have shown the connection
More information( f ^ M _ M 0 )dµ (5.1)
47 5. LEBESGUE INTEGRAL: GENERAL CASE Although the Lebesgue integral defined in the previous chapter is in many ways much better behaved than the Riemann integral, it shares its restriction to bounded
More informationbe the set of complex valued 2π-periodic functions f on R such that
. Fourier series. Definition.. Given a real number P, we say a complex valued function f on R is P -periodic if f(x + P ) f(x) for all x R. We let be the set of complex valued -periodic functions f on
More informationd(x n, x) d(x n, x nk ) + d(x nk, x) where we chose any fixed k > N
Problem 1. Let f : A R R have the property that for every x A, there exists ɛ > 0 such that f(t) > ɛ if t (x ɛ, x + ɛ) A. If the set A is compact, prove there exists c > 0 such that f(x) > c for all x
More informationBrownian Motion. 1 Definition Brownian Motion Wiener measure... 3
Brownian Motion Contents 1 Definition 2 1.1 Brownian Motion................................. 2 1.2 Wiener measure.................................. 3 2 Construction 4 2.1 Gaussian process.................................
More informationSOME REMARKS ON THE SPACE OF DIFFERENCES OF SUBLINEAR FUNCTIONS
APPLICATIONES MATHEMATICAE 22,3 (1994), pp. 419 426 S. G. BARTELS and D. PALLASCHKE (Karlsruhe) SOME REMARKS ON THE SPACE OF DIFFERENCES OF SUBLINEAR FUNCTIONS Abstract. Two properties concerning the space
More informationChapter One. The Calderón-Zygmund Theory I: Ellipticity
Chapter One The Calderón-Zygmund Theory I: Ellipticity Our story begins with a classical situation: convolution with homogeneous, Calderón- Zygmund ( kernels on R n. Let S n 1 R n denote the unit sphere
More informationPointwise convergence rates and central limit theorems for kernel density estimators in linear processes
Pointwise convergence rates and central limit theorems for kernel density estimators in linear processes Anton Schick Binghamton University Wolfgang Wefelmeyer Universität zu Köln Abstract Convergence
More informationLecture 19 L 2 -Stochastic integration
Lecture 19: L 2 -Stochastic integration 1 of 12 Course: Theory of Probability II Term: Spring 215 Instructor: Gordan Zitkovic Lecture 19 L 2 -Stochastic integration The stochastic integral for processes
More informationDomination of semigroups associated with sectorial forms
Domination of semigroups associated with sectorial forms Amir Manavi, Hendrik Vogt, and Jürgen Voigt Fachrichtung Mathematik, Technische Universität Dresden, D-0106 Dresden, Germany Abstract Let τ be a
More informationHardy martingales and Jensen s Inequality
Hardy martingales and Jensen s Inequality Nakhlé H. Asmar and Stephen J. Montgomery Smith Department of Mathematics University of Missouri Columbia Columbia, Missouri 65211 U. S. A. Abstract Hardy martingales
More informationChapter 6. Markov processes. 6.1 Introduction
Chapter 6 Markov processes 6.1 Introduction It is not uncommon for a Markov process to be defined as a sextuple (, F, F t,x t, t, P x ), and for additional notation (e.g.,,, S,P t,r,etc.) tobe introduced
More informationCores for generators of some Markov semigroups
Cores for generators of some Markov semigroups Giuseppe Da Prato, Scuola Normale Superiore di Pisa, Italy and Michael Röckner Faculty of Mathematics, University of Bielefeld, Germany and Department of
More informationSome SDEs with distributional drift Part I : General calculus. Flandoli, Franco; Russo, Francesco; Wolf, Jochen
Title Author(s) Some SDEs with distributional drift Part I : General calculus Flandoli, Franco; Russo, Francesco; Wolf, Jochen Citation Osaka Journal of Mathematics. 4() P.493-P.54 Issue Date 3-6 Text
More informationMetric Spaces and Topology
Chapter 2 Metric Spaces and Topology From an engineering perspective, the most important way to construct a topology on a set is to define the topology in terms of a metric on the set. This approach underlies
More informationConvergence at first and second order of some approximations of stochastic integrals
Convergence at first and second order of some approximations of stochastic integrals Bérard Bergery Blandine, Vallois Pierre IECN, Nancy-Université, CNRS, INRIA, Boulevard des Aiguillettes B.P. 239 F-5456
More informationAnalysis Qualifying Exam
Analysis Qualifying Exam Spring 2017 Problem 1: Let f be differentiable on R. Suppose that there exists M > 0 such that f(k) M for each integer k, and f (x) M for all x R. Show that f is bounded, i.e.,
More informationAPPLICATIONS OF THE KANTOROVICH-RUBINSTEIN MAXIMUM PRINCIPLE IN THE THEORY OF MARKOV OPERATORS
12 th International Workshop for Young Mathematicians Probability Theory and Statistics Kraków, 20-26 September 2009 pp. 43-51 APPLICATIONS OF THE KANTOROVICH-RUBINSTEIN MAIMUM PRINCIPLE IN THE THEORY
More informationTHE LENT PARTICLE FORMULA
THE LENT PARTICLE FORMULA Nicolas BOULEAU, Laurent DENIS, Paris. Workshop on Stochastic Analysis and Finance, Hong-Kong, June-July 2009 This is part of a joint work with Laurent Denis, concerning the approach
More information1 Stochastic Dynamic Programming
1 Stochastic Dynamic Programming Formally, a stochastic dynamic program has the same components as a deterministic one; the only modification is to the state transition equation. When events in the future
More informationProblem Set 5: Solutions Math 201A: Fall 2016
Problem Set 5: s Math 21A: Fall 216 Problem 1. Define f : [1, ) [1, ) by f(x) = x + 1/x. Show that f(x) f(y) < x y for all x, y [1, ) with x y, but f has no fixed point. Why doesn t this example contradict
More informationADJOINTS, ABSOLUTE VALUES AND POLAR DECOMPOSITIONS
J. OPERATOR THEORY 44(2000), 243 254 c Copyright by Theta, 2000 ADJOINTS, ABSOLUTE VALUES AND POLAR DECOMPOSITIONS DOUGLAS BRIDGES, FRED RICHMAN and PETER SCHUSTER Communicated by William B. Arveson Abstract.
More informationBounded point derivations on R p (X) and approximate derivatives
Bounded point derivations on R p (X) and approximate derivatives arxiv:1709.02851v3 [math.cv] 21 Dec 2017 Stephen Deterding Department of Mathematics, University of Kentucky Abstract It is shown that if
More informationOn an uniqueness theorem for characteristic functions
ISSN 392-53 Nonlinear Analysis: Modelling and Control, 207, Vol. 22, No. 3, 42 420 https://doi.org/0.5388/na.207.3.9 On an uniqueness theorem for characteristic functions Saulius Norvidas Institute of
More informationON THE PATHWISE UNIQUENESS OF SOLUTIONS OF STOCHASTIC DIFFERENTIAL EQUATIONS
PORTUGALIAE MATHEMATICA Vol. 55 Fasc. 4 1998 ON THE PATHWISE UNIQUENESS OF SOLUTIONS OF STOCHASTIC DIFFERENTIAL EQUATIONS C. Sonoc Abstract: A sufficient condition for uniqueness of solutions of ordinary
More informationD I S S E R T A T I O N E S M A T H E M A T I C A E
POLSKA AKADEMIA NAUK, INSTYTUT MATEMATYCZNY D I S S E R T A T I O N E S M A T H E M A T I C A E (ROZPRAWY MATEMATYCZNE) CCCXCIII WALTER FARKAS, NIELS JACOB and RENÉ L. SCHILLING Function spaces related
More informationSTAT 331. Martingale Central Limit Theorem and Related Results
STAT 331 Martingale Central Limit Theorem and Related Results In this unit we discuss a version of the martingale central limit theorem, which states that under certain conditions, a sum of orthogonal
More informationCombinatorics in Banach space theory Lecture 12
Combinatorics in Banach space theory Lecture The next lemma considerably strengthens the assertion of Lemma.6(b). Lemma.9. For every Banach space X and any n N, either all the numbers n b n (X), c n (X)
More informationMATH MEASURE THEORY AND FOURIER ANALYSIS. Contents
MATH 3969 - MEASURE THEORY AND FOURIER ANALYSIS ANDREW TULLOCH Contents 1. Measure Theory 2 1.1. Properties of Measures 3 1.2. Constructing σ-algebras and measures 3 1.3. Properties of the Lebesgue measure
More informationLectures on. Sobolev Spaces. S. Kesavan The Institute of Mathematical Sciences, Chennai.
Lectures on Sobolev Spaces S. Kesavan The Institute of Mathematical Sciences, Chennai. e-mail: kesh@imsc.res.in 2 1 Distributions In this section we will, very briefly, recall concepts from the theory
More informationNotes on uniform convergence
Notes on uniform convergence Erik Wahlén erik.wahlen@math.lu.se January 17, 2012 1 Numerical sequences We begin by recalling some properties of numerical sequences. By a numerical sequence we simply mean
More informationL -uniqueness of Schrödinger operators on a Riemannian manifold
L -uniqueness of Schrödinger operators on a Riemannian manifold Ludovic Dan Lemle Abstract. The main purpose of this paper is to study L -uniqueness of Schrödinger operators and generalized Schrödinger
More informationFunctional Analysis. Franck Sueur Metric spaces Definitions Completeness Compactness Separability...
Functional Analysis Franck Sueur 2018-2019 Contents 1 Metric spaces 1 1.1 Definitions........................................ 1 1.2 Completeness...................................... 3 1.3 Compactness......................................
More informationGlobal minimization. Chapter Upper and lower bounds
Chapter 1 Global minimization The issues related to the behavior of global minimization problems along a sequence of functionals F are by now well understood, and mainly rely on the concept of -limit.
More informationThe Equivalence of Ergodicity and Weak Mixing for Infinitely Divisible Processes1
Journal of Theoretical Probability. Vol. 10, No. 1, 1997 The Equivalence of Ergodicity and Weak Mixing for Infinitely Divisible Processes1 Jan Rosinski2 and Tomasz Zak Received June 20, 1995: revised September
More informationIndependence of some multiple Poisson stochastic integrals with variable-sign kernels
Independence of some multiple Poisson stochastic integrals with variable-sign kernels Nicolas Privault Division of Mathematical Sciences School of Physical and Mathematical Sciences Nanyang Technological
More informationITERATED FUNCTION SYSTEMS WITH CONTINUOUS PLACE DEPENDENT PROBABILITIES
UNIVERSITATIS IAGELLONICAE ACTA MATHEMATICA, FASCICULUS XL 2002 ITERATED FUNCTION SYSTEMS WITH CONTINUOUS PLACE DEPENDENT PROBABILITIES by Joanna Jaroszewska Abstract. We study the asymptotic behaviour
More informationLIST OF MATHEMATICAL PAPERS
LIST OF MATHEMATICAL PAPERS 1961 1999 [1] K. Sato (1961) Integration of the generalized Kolmogorov-Feller backward equations. J. Fac. Sci. Univ. Tokyo, Sect. I, Vol. 9, 13 27. [2] K. Sato, H. Tanaka (1962)
More informationNear convexity, metric convexity, and convexity
Near convexity, metric convexity, and convexity Fred Richman Florida Atlantic University Boca Raton, FL 33431 28 February 2005 Abstract It is shown that a subset of a uniformly convex normed space is nearly
More informationThe small ball property in Banach spaces (quantitative results)
The small ball property in Banach spaces (quantitative results) Ehrhard Behrends Abstract A metric space (M, d) is said to have the small ball property (sbp) if for every ε 0 > 0 there exists a sequence
More informationCourse 212: Academic Year Section 1: Metric Spaces
Course 212: Academic Year 1991-2 Section 1: Metric Spaces D. R. Wilkins Contents 1 Metric Spaces 3 1.1 Distance Functions and Metric Spaces............. 3 1.2 Convergence and Continuity in Metric Spaces.........
More informationMath 118B Solutions. Charles Martin. March 6, d i (x i, y i ) + d i (y i, z i ) = d(x, y) + d(y, z). i=1
Math 8B Solutions Charles Martin March 6, Homework Problems. Let (X i, d i ), i n, be finitely many metric spaces. Construct a metric on the product space X = X X n. Proof. Denote points in X as x = (x,
More informationA REFINED FACTORIZATION OF THE EXPONENTIAL LAW P. PATIE
A REFINED FACTORIZATION OF THE EXPONENTIAL LAW P. PATIE Abstract. Let ξ be a (possibly killed) subordinator with Laplace exponent φ and denote by I φ e ξs ds, the so-called exponential functional. Consider
More informationNECESSARY CONDITIONS FOR WEIGHTED POINTWISE HARDY INEQUALITIES
NECESSARY CONDITIONS FOR WEIGHTED POINTWISE HARDY INEQUALITIES JUHA LEHRBÄCK Abstract. We establish necessary conditions for domains Ω R n which admit the pointwise (p, β)-hardy inequality u(x) Cd Ω(x)
More informationLIMITS FOR QUEUES AS THE WAITING ROOM GROWS. Bell Communications Research AT&T Bell Laboratories Red Bank, NJ Murray Hill, NJ 07974
LIMITS FOR QUEUES AS THE WAITING ROOM GROWS by Daniel P. Heyman Ward Whitt Bell Communications Research AT&T Bell Laboratories Red Bank, NJ 07701 Murray Hill, NJ 07974 May 11, 1988 ABSTRACT We study the
More informationCOMPLETE REDUCIBILITY AND SEPARABLE FIELD EXTENSIONS
COMPLETE REDUCIBILITY AND SEPARABLE FIELD EXTENSIONS MICHAEL BATE, BENJAMIN MARTIN, AND GERHARD RÖHRLE Abstract. Let G be a connected reductive linear algebraic group. The aim of this note is to settle
More informationConvergence of greedy approximation I. General systems
STUDIA MATHEMATICA 159 (1) (2003) Convergence of greedy approximation I. General systems by S. V. Konyagin (Moscow) and V. N. Temlyakov (Columbia, SC) Abstract. We consider convergence of thresholding
More informationTrotter s product formula for projections
Trotter s product formula for projections Máté Matolcsi, Roman Shvydkoy February, 2002 Abstract The aim of this paper is to examine the convergence of Trotter s product formula when one of the C 0-semigroups
More informationHOPF S DECOMPOSITION AND RECURRENT SEMIGROUPS. Josef Teichmann
HOPF S DECOMPOSITION AND RECURRENT SEMIGROUPS Josef Teichmann Abstract. Some results of ergodic theory are generalized in the setting of Banach lattices, namely Hopf s maximal ergodic inequality and the
More information1.3.1 Definition and Basic Properties of Convolution
1.3 Convolution 15 1.3 Convolution Since L 1 (R) is a Banach space, we know that it has many useful properties. In particular the operations of addition and scalar multiplication are continuous. However,
More informationarxiv: v1 [math.oc] 21 Mar 2015
Convex KKM maps, monotone operators and Minty variational inequalities arxiv:1503.06363v1 [math.oc] 21 Mar 2015 Marc Lassonde Université des Antilles, 97159 Pointe à Pitre, France E-mail: marc.lassonde@univ-ag.fr
More informationX n D X lim n F n (x) = F (x) for all x C F. lim n F n(u) = F (u) for all u C F. (2)
14:17 11/16/2 TOPIC. Convergence in distribution and related notions. This section studies the notion of the so-called convergence in distribution of real random variables. This is the kind of convergence
More information1.5 Approximate Identities
38 1 The Fourier Transform on L 1 (R) which are dense subspaces of L p (R). On these domains, P : D P L p (R) and M : D M L p (R). Show, however, that P and M are unbounded even when restricted to these
More informationWentzell Boundary Conditions in the Nonsymmetric Case
Math. Model. Nat. Phenom. Vol. 3, No. 1, 2008, pp. 143-147 Wentzell Boundary Conditions in the Nonsymmetric Case A. Favini a1, G. R. Goldstein b, J. A. Goldstein b and S. Romanelli c a Dipartimento di
More informationWEAK CONVERGENCES OF PROBABILITY MEASURES: A UNIFORM PRINCIPLE
PROCEEDINGS OF THE AMERICAN MATHEMATICAL SOCIETY Volume 126, Number 10, October 1998, Pages 3089 3096 S 0002-9939(98)04390-1 WEAK CONVERGENCES OF PROBABILITY MEASURES: A UNIFORM PRINCIPLE JEAN B. LASSERRE
More informationTools from Lebesgue integration
Tools from Lebesgue integration E.P. van den Ban Fall 2005 Introduction In these notes we describe some of the basic tools from the theory of Lebesgue integration. Definitions and results will be given
More informationConvergence of Feller Processes
Chapter 15 Convergence of Feller Processes This chapter looks at the convergence of sequences of Feller processes to a iting process. Section 15.1 lays some ground work concerning weak convergence of processes
More informationMeasure Theory and Lebesgue Integration. Joshua H. Lifton
Measure Theory and Lebesgue Integration Joshua H. Lifton Originally published 31 March 1999 Revised 5 September 2004 bstract This paper originally came out of my 1999 Swarthmore College Mathematics Senior
More informationON CONTINUITY OF MEASURABLE COCYCLES
Journal of Applied Analysis Vol. 6, No. 2 (2000), pp. 295 302 ON CONTINUITY OF MEASURABLE COCYCLES G. GUZIK Received January 18, 2000 and, in revised form, July 27, 2000 Abstract. It is proved that every
More information1 Independent increments
Tel Aviv University, 2008 Brownian motion 1 1 Independent increments 1a Three convolution semigroups........... 1 1b Independent increments.............. 2 1c Continuous time................... 3 1d Bad
More informationStochastic Processes
Introduction and Techniques Lecture 4 in Financial Mathematics UiO-STK4510 Autumn 2015 Teacher: S. Ortiz-Latorre Stochastic Processes 1 Stochastic Processes De nition 1 Let (E; E) be a measurable space
More informationIntroduction to Topology
Introduction to Topology Randall R. Holmes Auburn University Typeset by AMS-TEX Chapter 1. Metric Spaces 1. Definition and Examples. As the course progresses we will need to review some basic notions about
More informationOptimality Conditions for Constrained Optimization
72 CHAPTER 7 Optimality Conditions for Constrained Optimization 1. First Order Conditions In this section we consider first order optimality conditions for the constrained problem P : minimize f 0 (x)
More informationStochastic semigroups: their construction by perturbation and approximation
Stochastic semigroups: their construction by perturbation and approximation H. R. Thieme 1 (Tempe) and J. Voigt (Dresden) Abstract. The main object of the paper is to present a criterion for the minimal
More informationA Note on the Central Limit Theorem for a Class of Linear Systems 1
A Note on the Central Limit Theorem for a Class of Linear Systems 1 Contents Yukio Nagahata Department of Mathematics, Graduate School of Engineering Science Osaka University, Toyonaka 560-8531, Japan.
More informationConvergence rates in weighted L 1 spaces of kernel density estimators for linear processes
Alea 4, 117 129 (2008) Convergence rates in weighted L 1 spaces of kernel density estimators for linear processes Anton Schick and Wolfgang Wefelmeyer Anton Schick, Department of Mathematical Sciences,
More informationConstraint qualifications for convex inequality systems with applications in constrained optimization
Constraint qualifications for convex inequality systems with applications in constrained optimization Chong Li, K. F. Ng and T. K. Pong Abstract. For an inequality system defined by an infinite family
More informationThe Symbol Associated with the Solution of a Stochastic Differential Equation
E l e c t r o n i c J o u r n a l o f P r o b a b i l i t y Vol. 15 (21), Paper no. 43, pages 1369 1393. Journal URL http://www.math.washington.edu/~ejpecp/ The Symbol Associated with the Solution of a
More informationA theorem on summable families in normed groups. Dedicated to the professors of mathematics. L. Berg, W. Engel, G. Pazderski, and H.- W. Stolle.
Rostock. Math. Kolloq. 49, 51{56 (1995) Subject Classication (AMS) 46B15, 54A20, 54E15 Harry Poppe A theorem on summable families in normed groups Dedicated to the professors of mathematics L. Berg, W.
More informationEconomics 204 Summer/Fall 2011 Lecture 5 Friday July 29, 2011
Economics 204 Summer/Fall 2011 Lecture 5 Friday July 29, 2011 Section 2.6 (cont.) Properties of Real Functions Here we first study properties of functions from R to R, making use of the additional structure
More informationAnalysis Finite and Infinite Sets The Real Numbers The Cantor Set
Analysis Finite and Infinite Sets Definition. An initial segment is {n N n n 0 }. Definition. A finite set can be put into one-to-one correspondence with an initial segment. The empty set is also considered
More informationLecture 12. F o s, (1.1) F t := s>t
Lecture 12 1 Brownian motion: the Markov property Let C := C(0, ), R) be the space of continuous functions mapping from 0, ) to R, in which a Brownian motion (B t ) t 0 almost surely takes its value. Let
More informationTotal Expected Discounted Reward MDPs: Existence of Optimal Policies
Total Expected Discounted Reward MDPs: Existence of Optimal Policies Eugene A. Feinberg Department of Applied Mathematics and Statistics State University of New York at Stony Brook Stony Brook, NY 11794-3600
More informationAn essay on the general theory of stochastic processes
Probability Surveys Vol. 3 (26) 345 412 ISSN: 1549-5787 DOI: 1.1214/1549578614 An essay on the general theory of stochastic processes Ashkan Nikeghbali ETHZ Departement Mathematik, Rämistrasse 11, HG G16
More informationIntroduction to Real Analysis Alternative Chapter 1
Christopher Heil Introduction to Real Analysis Alternative Chapter 1 A Primer on Norms and Banach Spaces Last Updated: March 10, 2018 c 2018 by Christopher Heil Chapter 1 A Primer on Norms and Banach Spaces
More informationINTRODUCTION TO REAL ANALYSIS II MATH 4332 BLECHER NOTES
INTRODUCTION TO REAL ANALYSIS II MATH 433 BLECHER NOTES. As in earlier classnotes. As in earlier classnotes (Fourier series) 3. Fourier series (continued) (NOTE: UNDERGRADS IN THE CLASS ARE NOT RESPONSIBLE
More informationSTOCHASTIC INTEGRAL REPRESENTATIONS OF F-SELFDECOMPOSABLE AND F-SEMI-SELFDECOMPOSABLE DISTRIBUTIONS
Communications on Stochastic Analysis Vol. 1, No. 1 (216 13-3 Serials Publications www.serialspublications.com STOCHASTIC INTEGRAL REPRESENTATIONS OF F-SELFDECOMPOSABLE AND F-SEMI-SELFDECOMPOSABLE DISTRIBUTIONS
More informationNotions such as convergent sequence and Cauchy sequence make sense for any metric space. Convergent Sequences are Cauchy
Banach Spaces These notes provide an introduction to Banach spaces, which are complete normed vector spaces. For the purposes of these notes, all vector spaces are assumed to be over the real numbers.
More informationReminder Notes for the Course on Measures on Topological Spaces
Reminder Notes for the Course on Measures on Topological Spaces T. C. Dorlas Dublin Institute for Advanced Studies School of Theoretical Physics 10 Burlington Road, Dublin 4, Ireland. Email: dorlas@stp.dias.ie
More informationStanford Mathematics Department Math 205A Lecture Supplement #4 Borel Regular & Radon Measures
2 1 Borel Regular Measures We now state and prove an important regularity property of Borel regular outer measures: Stanford Mathematics Department Math 205A Lecture Supplement #4 Borel Regular & Radon
More informationn E(X t T n = lim X s Tn = X s
Stochastic Calculus Example sheet - Lent 15 Michael Tehranchi Problem 1. Let X be a local martingale. Prove that X is a uniformly integrable martingale if and only X is of class D. Solution 1. If If direction:
More informationON THE FAVARD CLASSES OF SEMIGROUPS ASSOCIATED WITH PSEUDO-RESOLVENTS
ON THE FAVARD CLASSES OF SEMIGROUPS ASSOCIATED WITH PSEUDO-RESOLVENTS WOJCIECH CHOJNACKI AND JAN KISYŃSKI ABSTRACT. A pseudo-resolvent on a Banach space, indexed by positive numbers and tempered at infinity,
More informationOn Reflecting Brownian Motion with Drift
Proc. Symp. Stoch. Syst. Osaka, 25), ISCIE Kyoto, 26, 1-5) On Reflecting Brownian Motion with Drift Goran Peskir This version: 12 June 26 First version: 1 September 25 Research Report No. 3, 25, Probability
More informationBoundedly complete weak-cauchy basic sequences in Banach spaces with the PCP
Journal of Functional Analysis 253 (2007) 772 781 www.elsevier.com/locate/jfa Note Boundedly complete weak-cauchy basic sequences in Banach spaces with the PCP Haskell Rosenthal Department of Mathematics,
More informationMAT 570 REAL ANALYSIS LECTURE NOTES. Contents. 1. Sets Functions Countability Axiom of choice Equivalence relations 9
MAT 570 REAL ANALYSIS LECTURE NOTES PROFESSOR: JOHN QUIGG SEMESTER: FALL 204 Contents. Sets 2 2. Functions 5 3. Countability 7 4. Axiom of choice 8 5. Equivalence relations 9 6. Real numbers 9 7. Extended
More informationObstacle problems and isotonicity
Obstacle problems and isotonicity Thomas I. Seidman Revised version for NA-TMA: NA-D-06-00007R1+ [June 6, 2006] Abstract For variational inequalities of an abstract obstacle type, a comparison principle
More informationThe Codimension of the Zeros of a Stable Process in Random Scenery
The Codimension of the Zeros of a Stable Process in Random Scenery Davar Khoshnevisan The University of Utah, Department of Mathematics Salt Lake City, UT 84105 0090, U.S.A. davar@math.utah.edu http://www.math.utah.edu/~davar
More informationON THE REGULARITY OF ONE PARAMETER TRANSFORMATION GROUPS IN BARRELED LOCALLY CONVEX TOPOLOGICAL VECTOR SPACES
Communications on Stochastic Analysis Vol. 9, No. 3 (2015) 413-418 Serials Publications www.serialspublications.com ON THE REGULARITY OF ONE PARAMETER TRANSFORMATION GROUPS IN BARRELED LOCALLY CONVEX TOPOLOGICAL
More information(1.) For any subset P S we denote by L(P ) the abelian group of integral relations between elements of P, i.e. L(P ) := ker Z P! span Z P S S : For ea
Torsion of dierentials on toric varieties Klaus Altmann Institut fur reine Mathematik, Humboldt-Universitat zu Berlin Ziegelstr. 13a, D-10099 Berlin, Germany. E-mail: altmann@mathematik.hu-berlin.de Abstract
More informationHilbert Spaces. Contents
Hilbert Spaces Contents 1 Introducing Hilbert Spaces 1 1.1 Basic definitions........................... 1 1.2 Results about norms and inner products.............. 3 1.3 Banach and Hilbert spaces......................
More informationThe Lebesgue Integral
The Lebesgue Integral Brent Nelson In these notes we give an introduction to the Lebesgue integral, assuming only a knowledge of metric spaces and the iemann integral. For more details see [1, Chapters
More information