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1.
Summary LetX n, n d be a field of independent random variables taking values in a semi-normed measurable vector spaceF. For a broad class of fields n, d of positive numbers, the almost sure behaviour of knXk/n, n d is studied. The main result allows us to deduce some new and well-known theorems for fields of independentF random variables from related results for fields of independent real random variables.Supported in part by the Youth Science Foundation of China, No. 19001018Supported by the National Natural Science Foundation of China  相似文献   

2.
For a solution u of –u=u(1–|u|2) on the whole plane, |u|<1 holds everywhere unless u=ei for some ; the derivatives of order k have moduli a constant M kdepending only on k. For a solution u on an open set 2, the moduli of u and its derivatives have upper bounds depending only on the distance to 2\ therefore the set of solutions on a given is compact in C() for the topology of uniform convergence on compact subsets of . For a solution u such that |u|<1, 1–|u| satisfies an estimation similar to the classical Harnack inequality for positive harmonic functions.Finally, if is bounded and |u| has a lim supm at each boundary point, the |u|m in if m1, but if m<1 then |u| admits only a majorant S m with values in ]m, 1[ and sufficient conditions are given for lim S m =0 or S m =O(m) as m0.
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3.
Summary In this paper, we study interacting diffusing particles governed by the stochastic differential equationsdX j (t)= n dB j (t) –D jØn(X 1,...,X n)dt,j=1, 2,...,n. Here theB jare independent Brownian motions in d , and Ø n (X 1,...,X n)= n ij V(X iX j) + ni U(X 1). The potentialV has a singularity at 0 strong enough to keep the particles apart, and the potentialU serves to keep the particles from escaping to infinity. Our interest is in the behaviour as the number of particles increases without limit, which we study through the empirical measure process. We prove tightness of these processes in the case ofd=1,V(x)=–log|x|,U(x)=x 2/2 where it is possible to prove uniqueness of the limiting evolution and deduce that a limiting measure-valued process exists. This process is deterministic, and converges to the Wigner law ast. Some information on the rates of convergence is derived, and the case of a Cauchy initial distribution is analysed completely.Supported by SERC grant number GR/H 00444  相似文献   

4.
Let be a bounded domain in n (n3) having a smooth boundary, let be an essentially bounded real-valued function defined on × h, and let be a continuous real-valued function defined on a given subset Y of Y h. In this paper, the existence of strong solutions u W 2,p (, h) W o 1,p (n/2<p<+) to the implicit elliptic equation (–u)=(x,u), with u=(u1, u2, ..., uh) and u=(u 1, u 2, ..., u h), is established. The abstract framework where the problem is placed is that of set-valued analysis.  相似文献   

5.
Let L0 be a positive definite closed linear operator with domain of definition D(L0) dense in the Hilbert space H; let(, 1, 2) be the positive boundary value space of the operator L0 such that the restriction of L 0 * to ker 2 is the Friedrichs extension of the operator L0. We establish a test for nonnegativity of an operator T of the form Ty=L 0 * y+*(1–C)y, y D(T)= ker(2+), where :H and C: are respectively a compact operator and a bounded nonnegative operator.Translated fromMatematicheskie Metody i Fiziko-Mekhanicheskie Polya, Issue 32, 1990, pp. 30–33.  相似文献   

6.
Summary We consider a point process with the Polish phase space (X,X) and a system of -fields (x),xX, generated by on certain sets (x)X. We define predictability for random processes indexed byX and for random measures onX and prove the existence and uniqueness of predictable and dual predictable projections under a regularity condition on . ForX= 2 + and under monotonicity assumptions on the sets x we will identify the predictable projections of some simple processes as regular versions of certain martingales.  相似文献   

7.
LetA(u)=–diva(x, u, Du) be a Leray-Lions operator defined onW 0 1,p () and be a bounded Radon measure. For anyu SOLA (Solution Obtained as Limit of Approximations) ofA(u)= in ,u=0 on , we prove that the truncationsT k(u) at heightk satisfyA(T k(u)) A(u) in the weak * topology of measures whenk + .
Résumé SoitA(u)=–diva(x, u, Du) un opérateur de Leray-Lions défini surW 0 1,p () et une mesure de Radon bornée. Pour toutu SOLA (Solution Obtenue comme Limite d'Approximations) deA(u)= dans ,u=0 sur , nous démontrons que les troncaturesT k(u) à la hauteurk vérifientA(T k(u)) A(u) dans la topologie faible * des mesures quandk + .
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8.
Summary A random timeT is a future independent time for a Markov chain (X n ) 0 ifT is independent of (X T+n ) n / =0 and if (X T+n ) n / =0 is a Markov chain with initial distribution and the same transition probabilities as (X n ) 0 . This concept is used (with the conditional stationary measure) to give a new and short proof of the basic limit theorem of Markov chains, improving somewhat the result in the null-recurrent case.This work was supported by the Swedish Natural Science Research Council and done while the author was visiting the Department of Statistics, Stanford University  相似文献   

9.
We prove that if (,D) is a positivity preserving form on L 2 (E;m), and if (u n)n is a sequence in D() converging m-almost everywhere to u L 2 (E;m), then (u,u) lim infn (u n ,u n ).  相似文献   

10.
Let M n =X1+...+Xn be a martingale with bounded differences Xm=Mm-Mm-1 such that {|Xm| m}=1 with some nonnegative m. Write 2= 1 2 + ... + n 2 . We prove the inequalities {M nx}c(1-(x/)), {M n x} 1- c(1- (-x/)) with a constant . The result yields sharp inequalities in some models related to the measure concentration phenomena.  相似文献   

11.
LetX,X 1,X 2,... be i.i.d. random vectors in d. The limit laws that can arise by suitable affine normalizations of the partial sums,S n=X 1+...+X n, are calledoperator-stable laws. These laws are a natural extension to d of the stable laws on. Thegeneralized domain of attraction of [GDOA()] is comprised of all random vectorsX whose partial sums can be affinely normalized to converge to . If the linear part of the affine transformation is restricted to take the formn –B for some exponent operatorB naturally associated to thenX is in thegeneralized domain of normal attraction of [GDONA()]. This paper extends the theory of operator-stable laws and their domains of attraction and normal attraction.  相似文献   

12.
Let {X k , 1 k n} be n independent and real-valued random variables with common subexponential distribution function, and let {k, 1 k n} be other n random variables independent of {X k , 1 k n} and satisfying a k b for some 0 < a b < for all 1 k n. This paper proves that the asymptotic relations P (max1 m n k=1 m k X k > x) P (sum k=1 n k X k > x) sum k=1 n P ( k X k > x) hold as x . In doing so, no any assumption is made on the dependence structure of the sequence { k , 1 k n}. An application to ruin theory is proposed.  相似文献   

13.
Summary The sum a n X n of a weighted series of a sequence {X n } of identically distributed (not necessarily independent) random variables (r.v.s.) is a.s. absolutely convergent if for some in 0<1, ¦a n ¦ < and E¦X n ¦ < ; if a n =z n for some ¦z¦<1 then it suffices that E(log¦X n ¦)+<. Examples show that these sufficient conditions are not necessary. For mutually independent {X n } necessary conditions can be given: the a.s. absolute convergence of X n z n (all ¦z¦<1) then implies E(log¦X n ¦)+ < , while if the X n are non-negative stable r.v.s. of index , ¦a n X n ¦< if and only if ¦a n ¦ < .  相似文献   

14.
Let X n1 * , ... X nn * be a sequence of n independent random variables which have a geometric distribution with the parameter p n = 1/n, and M n * = \max\{X n1 * , ... X nn * }. Let Z 1, Z2, Z3, ... be a sequence of independent random variables with the uniform distribution over the set N n = {1, 2, ... n}. For each j N n let us denote X nj = min{k : Zk = j}, M n = max{Xn1, ... Xnn}, and let S n be the 2nd largest among X n1, Xn2, ... Xnn. Using the methodology of verifying D(un) and D'(un) mixing conditions we prove herein that the maximum M n has the same type I limiting distribution as the maximum M n * and estimate the rate of convergence. The limiting bivariate distribution of (Sn, Mn) is also obtained. Let n, n Nn, , and T n = min{M(An), M(Bn)}. We determine herein the limiting distribution of random variable T n in the case n , n/n > 0, as n .  相似文献   

15.
Résumé Soient G la première valeur propre de la membrane à contour fixé sur un domaine simplement connexeG, etP G la rigidité à la torsion deG. En construisant un cercleK tel queP K P G et K G, on démontre la conjecture de Pólya et Szegö [14]; PG G 2 j 0 2 /2. Ce résultat renforce le théorème isopérimétrique classique de Rayleigh [15], Faber [4] et Krahn [10].
Summary Let G be the first eigenvalue of the fixed membrane on a simply connected domainG, and letP G be the torsional rigidity ofG. We prove Pólya-Szegö's conjecture [14]: PG G 2 j 0 2 /2, by constructing a circleK such thatP K P G and K G. This result sharpens the classical isoperimetric theorem of Rayleigh [15], Faber [4] and Krahn [10].
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16.
We consider equations like -div(|u| p–2u)=, where is a nonnegative Radon measure and 1u and the measure are reviewed. A link between potential estimates and the boundary regularity of the Dirichlet problem is established.  相似文献   

17.
Let X be a Banach space, L ([0,1])XL 1([0,1]), with an unconditional basis. By the well-known stability property in X, there exists a unconditional basis {f n} m=1 , where f n in C([0,1]), nN. In this paper, we introduce the notion that X *has the singularity property of X *at a point t 0[0,1]. It is proved that if X *has the singularity property at a point t 0 [0,1], then there exists no orthonormal, fundamental system in C([0,1]) which forms an unconditional basis in X.  相似文献   

18.
LetS n be the partial sums of -mixing stationary random variables and letf(x) be a real function. In this note we give sufficient conditions under which the logarithmic average off(S n / n ) converges almost surely to f(x)d(x). We also obtain strong approximation forH(n)= k=1 n k –1 f(S k /k)=logn f(x)d(x) which will imply the asymptotic normality ofH(n)/log1/2 n. But for partial sums of i.i.d. random variables our results will be proved under weaker moment condition than assumed for -mixing random variables.  相似文献   

19.
Summary In the situation of the classical mean motion, we haven planets moving in the plane, planetk+1 being a satellite of planetk. A classcal result then states that planetn has a mean motion,i.e. its mean angular speed between time 0 and timet has a limit whent. We show in this article that any real gaussian dynamical system can be interpreted as the limit of this situation, whenn. From a given nonatomic probability measure on [0,], we construct a transformationT of the complex brownian path (B u)0u1 which preserves Wiener measure.T is defined as the limit of a sequenceT n, whereT n acts as the motion of 2n planets. In this way we get a real gaussian dynamical system, whose spectral measure is the symetric probability on [-,] obtained from . The transformationT can be inserted in a flow (T t) t, and the orbitstZ t=B 1T t still have almost surely a mean motion, which is the mean of .  相似文献   

20.
Summary Consider the stationary sequenceX 1=G(Z 1),X 2=G(Z 2),..., whereG(·) is an arbitrary Borel function andZ 1,Z 2,... is a mean-zero stationary Gaussian sequence with covariance functionr(k)=E(Z 1 Z k+1) satisfyingr(0)=1 and k=1 |r(k)| m < , where, withI{·} denoting the indicator function andF(·) the continuous marginal distribution function of the sequence {X n }, the integerm is the Hermite rank of the family {I{G(·) x} –F(x):xR}. LetF n (·) be the empirical distribution function ofX 1,...,X n . We prove that, asn, the empirical processn 1/2{F n (·)-F(·)} converges in distribution to a Gaussian process in the spaceD[–,].Partially supported by NSF Grant DMS-9208067  相似文献   

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