拟线性椭圆变分不等式组的特征问题

该文考虑泛函在约束（其中，Ｋ是Ｒ￣Ｎ中的闭凸锥）下的小化问题，得到了解的存在性和正则性，并给出ｐ＝２，Ｋ为双障碍约束的闭凸集时的一个多解结果．泛函Ｉ（ｕ）在约束下的变分对应于一个拟线性椭圆型变分不等式组的特征问题．     

FKKM-型定理的推广及应用

本文得到ＦＫＫＭ－型定理的几个新的推广定理,并将所得结果应用于研究重合点问题．文中的结果统一和包含了一些作者的最新成果．     

(K_1,K_2)-拟正则映射的L_p可积性

对于Ｓｏｂｏｌｅｖ类Ｗ１，ｎｌｏｃ（Ω，Ｒｎ）的ｎ维（Ｋ１，Ｋ２）－拟正则映射，建立了其偏微商的Ｌｐ可积性结果，从而得到映射的Ｈ¨ｏｌｄｅｒ连续性；并且给出了其对一类拟线性椭圆型方程组先验估计的应用     

局部β-凸空间中的第二分离性定理及其共轭锥上的有界性定理

第一部分给出局部β－凸空间中的第二分离性定理和Ｍｉｎｋｏｗｓｋｉ定理及Ｋｒｅｉｎ－Ｍｉｌｍａｎ定理等；第二部分得到其共轭锥上Ｕ Ｆ－有界与Ｕ Ｂ－有界等价的充要条件为原空间是次完备的．     

广义维纳泛函,白噪声分布及实Schwartz广义函数空间上的分布

在实Ｓｃｈｗａｒｔｚ广义函数空间上，证明了复值广义维纳泛函，由Ｋｏｎｄｒａｔｅｖ－Ｓｔｒｅｉｔ及Ｈｉｄａ构造的复值白噪声分布都是由Ｋｈｒｅｎｎｉｋｏｖ构造的分布。利用上述结果进而证明了，一类无穷维伪微分算子是由复值广义维纳泛函空间上的连续线性算子族扩张而成。更进一步，还证明了由Ｋｈｒｅｎｎｉｋｏｖ构造的关于分布的试验函数空间是关于白噪声泛函的Ｍｅｙｅｒ－Ｙａｎ试验函数空间的子空间。     

扩散过程关于（r，p）－容度的大偏差

本文证明扩散过程关于（ｒ，ｐ）－容度服从大偏差原理，作为此结果的一个应用，我们证明扩散过程的拟泛函重对数律成立．     

关于Hunt－Yorke猜想的证明

考虑具有ｎ个变时滞的泛函微分方程其中ｑ＿ｉ（ｔ），Ｔ＿ｉ（ｔ）∈Ｃ（［０，＋∞），Ｒ￣＋），ｉ＝１，２，…，ｎ。本文证明了Ｈｕｎｔ－Ｙｏｒｋｅ猜想；同时还得到了在Ｋｗｏｎｇ－Ｐａｔｕｌａ意义下泛函微分方程强振动的充分条件。     

完备Riemann流形具有闭的割空间

本文证明了完备的Ｒｉｅｍａｎｎ流形即拥有闭的割空间（ｃｕｔｓｐａｃｅ），这一结论不但完满解答了段海豹在［１］中提出的问题１．６，大大地改进了他的主要结果（［１］，定理１．３），而且作为一个推论，我们还得到了经典Ｂｏｒｓｕｋ－Ｕｌａｍ定理的一个进一步推广．     

Banach函数空间上的Bessel(Riesz)位势及其应用(I)理论

本文首先引入Ｂｅｓｅｌ（Ｒｉｅｓｚ）位势Ｋ¨ｏｔｈｅ函数空间Ｘｓ（Ｘｓ）的概念，然后讨论一类算子在Ｌｅｂｅｓｇｕｅ－位势Ｋ¨ｏｔｈｅ函数空间Ｌｑ（－Ｔ，Ｔ；Ｘｓ）上的对偶估计．由此我们得到半群ｅｘｐ（ｉｔ（－Δ）ｍ／２）和算子Ａ：＝∫ｔ０ｅｘｐ（ｉ（ｔ－τ）（－Δ）ｍ／２）·ｄτ在Ｌｅｂｅｓｇｕｅ－Ｂｅｓｏｖ空间Ｌｑ－Ｔ，Ｔ；·Ｂｓｐ，２中的一些时间－－空间Ｌｐ－Ｌｐ′估计．本文的系列文将给出这些估计的应用     

紧－凸性与紧－光滑性

本文首先通过暴露集和暴露泛函的概念引入了闭凸集的紧－严格凸、紧－强凸、紧－一致凸及紧－非常凸等概念。并用对偶映射给出了Ｂａｎａｃｈ空间的两种新光滑性—紧－一致光滑与紧－非常光滑。然后特别研究了Ｂａｎａｃｈ空间的紧－非常凸与紧－非常光滑。此外还得到关于对偶映射的两个新结果。     

Characterization of the least concave majorant of brownian motion,conditional on a vertex point,with application to construction

The characterization of the least concave majorant of brownian motion by Pitman (1983,Seminar on Stochastic Processes, 1982 (eds. E. Cinlar, K. L. Chung and R. K. Getoor), 219–228, Birkhäuser, Boston) is tweaked, conditional on a vertex point. The joint distribution of this vertex point is derived and is shown to be generated with extreme ease. A procedure is then outlined by which one can construct the least concave majorant of a standard Brownian motion path over any finite, closed subinterval of (0, ∞). This construction is exact in distribution. One can also construct a linearly interpolated version of the Brownian motion path (i.e. we construct the Brownian motion path over a grid of points and linearly interpolate) corresponding to this least concave majorant over the same finite interval. A discussion of how to translate the aforementioned construction to the least concave majorant of a Brownian bridge is also presented.     

Estimates of Entire Functions of Exponential Type Less than π in Terms of Logarithmic Sums over Real Duffin and Schaeffer Sequences

We give uniform estimates of entire functions of exponential type less than having sufficiently small logarithmic sums over real sequences { _n } satisfying | _n –n|L and _n+1– _n for fixed positive constants L and . We thereby generalize results about logarithmic sums over the set of integers and so-called relatively h-dense sequences.     

New perturbation bounds and condition numbers for the hyperbolic QR factorization

Using the modified matrix-vector equation approach, the technique of Lyapunov majorant function and the Banach fixed point theorem, we obtain some new rigorous perturbation bounds for R factor of the hyperbolic QR factorization under normwise perturbation. These bounds are always tighter than the one given in the literature. Moreover, the optimal first-order perturbation bounds and the normwise condition numbers for the hyperbolic QR factorization are also presented.     

Monotone nonparametric regression with random design

In this paper we study the nonparametric least squares estimator of a regression function in a random design setting under the constraint that this function is monotone, say, nonincreasing. The errors are not assumed conditionally i.i.d. given the observation points. In particular, this includes the case of conditional heteroscedasticity and the case of the current status model. The -error is shown to be of order n ^−p/3 and asymptotically Gaussian with explicit asymptotic mean and variance.      

The distance between two convex sets

In this paper we explore the duality relations that characterize least norm problems. The paper starts by presenting a new Minimum Norm Duality (MND) theorem, one that considers the distance between two convex sets. Roughly speaking the new theorem says that the shortest distance between the two sets is equal to the maximal “separation” between the sets, where the term “separation” refers to the distance between a pair of parallel hyperplanes that separates the two sets.The second part of the paper brings several examples of applications. The examples teach valuable lessons about the role of duality in least norm problems, and reveal new features of these problems. One lesson exposes the polar decomposition which characterizes the “solution” of an inconsistent system of linear inequalities. Another lesson reveals the close links between the MND theorem, theorems of the alternatives, steepest descent directions, and constructive optimality conditions.     

集值映射最小不动点定理及其应用

利用Fan-Kakutani不动点定理，得到赋范线性空间中集值映射的最小 不动点的存在定理。作为应用，研究了非线性n阶常微分方程的不适定两点边值问题。     

左分式半群的几个性质

讨论了若干半群类在取左分式半群下的封闭性，给出了关于左发式半群的一个同构定理。     

Dominated Compactness Theorem in Banach Function Spaces and its Applications

A famous dominated compactness theorem due to Krasnosel’skiĭ states that compactness of a regular linear integral operator in L ^p follows from that of a majorant operator. This theorem is extended to the case of the spaces , with variable exponent p(·), where we also admit power type weights . This extension is obtained as a corollary to a more general similar dominated compactness theorem for arbitrary Banach function spaces for which the dual and associate spaces coincide. The result on compactness in the spaces is applied to fractional integral operators over bounded open sets. Submitted: June 6, 2007. Accepted: November 20, 2007.