Improper choosability of graphs and maximum average degree

Improper choosability of planar graphs has been widely studied. In particular, ?krekovski investigated the smallest integer g_k such that every planar graph of girth at least g_k is k‐improper 2‐choosable. He proved [9] that 6 ≤ g₁ ≤ 9; 5 ≤ g₂ ≤ 7; 5 ≤ g₃ ≤ 6; and ? k ≥ 4, g_k = 5. In this article, we study the greatest real M(k, l) such that every graph of maximum average degree less than M(k, l) is k‐improper l‐choosable. We prove that if l ≥ 2 then . As a corollary, we deduce that g₁ ≤ 8 and g₂ ≤ 6, and we obtain new results for graphs of higher genus. We also provide an upper bound for M(k, l). This implies that for any fixed l, . © 2006 Wiley Periodicals, Inc. J Graph Theory 52: 181–199, 2006     

Constraints on models with a break in the primordial power spectrum

One of the characteristics of the “Matter Bounce” scenario, an alternative to cosmological inflation for producing a scale-invariant spectrum of primordial adiabatic fluctuations on large scales, is a break in the power spectrum at a characteristic scale, below which the spectral index changes from ns=1$n_s=1$ to ns=3$n_s=3$. We study the constraints which current cosmological data place on the location of such a break, and more generally on the position of the break and the slope at length scales smaller than the break. The observational data we use include the WMAP five-year data set (WMAP5), other CMB data from BOOMERanG, CBI, VSA, and ACBAR, large-scale structure data from the Sloan Digital Sky Survey (SDSS, their luminous red galaxies sample), Type Ia Supernovae data (the “Union” compilation), and the Sloan Digital Sky Survey Lyman-α forest power spectrum (Lyα) data. We employ the Markov Chain Monte Carlo method to constrain the features in the primordial power spectrum which are motivated by the matter bounce model. We give an upper limit on the length scale where the break in the spectrum occurs.     

Cosmology with torsion: An alternative to cosmic inflation

We propose a simple scenario which explains why our Universe appears spatially flat, homogeneous and isotropic. We use the Einstein–Cartan–Kibble–Sciama (ECKS) theory of gravity which naturally extends general relativity to include the spin of matter. The torsion of spacetime generates gravitational repulsion in the early Universe filled with quarks and leptons, preventing the cosmological singularity: the Universe expands from a state of minimum but finite radius. We show that the dynamics of the closed Universe immediately after this state naturally solves the flatness and horizon problems in cosmology because of an extremely small and negative torsion density parameter, ΩS≈−¹⁰⁻⁶⁹${\Omega }_S\approx -{10}^{-69}$. Thus the ECKS gravity provides a compelling alternative to speculative mechanisms of standard cosmic inflation. This scenario also suggests that the contraction of our Universe preceding the bounce at the minimum radius may correspond to the dynamics of matter inside a collapsing black hole existing in another universe, which could explain the origin of the Big Bang.     

Littlewood–Paley characterizations of higher‐order Sobolev spaces via averages on balls

In this article, the authors characterize higher‐order Sobolev spaces , with , and , or with , and , via the Lusin area function and the Littlewood–Paley ‐function in terms of ball averages, where denotes the maximal integer not greater than . Moreover, the authors also complement the above results in the endpoint cases of p via establishing some weak type estimates. These improve and develop the corresponding known results for Sobolev spaces with smoothness order .     

可变抽样区间的多变量自相关过程VAR控制图

基于批量-均值法的思想,向量自回归(VAR)控制图对多变量自相关过程的较小偏移可以进行有效控制。为了提高多变量自相关过程监控效率,本文研究可变抽样区间的VAR控制图。首先,对多变量自相关过程的VAR控制图进行可变抽样区间设计;然后,用蒙特卡洛模拟方法计算其平均报警时间;最后,以平均报警时间为评价准则,对所设计的可变抽样区间VAR控制图与固定抽样区间的VAR控制图进行比较研究。研究结果表明:所设计的可变抽样区间多变量自相关过程VAR控制图较固定抽样区间的多变量自相关过程VAR控制图能更好的监控过程的变化。     

基于支持向量回归的豆油期货数据分析

随着期货市场在经济中的影响逐渐增强,对期货市场的研究具有实际意义.选取豆油期货指数进行研究,首先将数据进行归一化处理,然后选用支持向量回归方法建模分析.分析结果表明该方法对短期内的数据预测具有较好的效果,对了解期货市场的近期走势提供一些借鉴.     

黄河河道冰水情定点连续自动检测及数据分析

根据黄河中上游流域冰水情监测以及预防凌汛灾害的需求,设计了一种适合黄河河道的冰水情自动测报系统.该系统由基于空气、冰与水电阻特性差异的冰层厚度传感器、DS18B20的温度梯度传感器以及智能处理仪构成.采用该系统在内蒙托克托县黄河河道进行了黄河封冻期河道冰层厚度连续监测试验,获取了大量的现场实测数据,对采样数据进行分析,提出了判别冰层厚度的平均滤波算法,实现了对冰层生消变化全过程的自动监测.     

二重非齐次马氏链的遍历性及其应用

给出二重非齐次马氏链的强遍历性,绝对平均强遍历性,Cesaro平均收敛的概念．利用二维马氏链的遍历性和C-K方程,建立了二维马氏链与二重非齐次马氏链遍历性的关系．并讨论了齐次二重马氏链绝对平均强遍历与强遍历的等价性．最后给出Cesaro平均收敛在马氏决策过程和信息论中应用．     

AVERAGE ONESIDED WIDTHS OF SOBOLEV AND BESOV CLASSES

The article concerns the average onesided widths of the Sobolev and Besov classes and the classes of functions with bounded moduli of smoothness. The weak asymptotic results are obtained for the corresponding quantities.     

K_2(9~1∑~+_g)高位电子态与H_2碰撞中H_2的能量分布

光学-光学双共振激发K2到91∑+g高位态,研究了K2(91∑+g)与H2的电子-振转碰撞能量转移。利用相干反斯托克斯(CARS)光谱技术探测H2的振转态分布,扫描CARS谱表明H2在(1,1)、(2,1)、(2,2)、(3,1)、(3,2)、(3,3)和(3,5)能级上有布居。由时间分辨CARS轮廓得到H2各振转能级上粒子数之比,得到H2的平均振动能和平均转动能分别为9063cm-1和388cm-1。从91∑+g→11∑+u、11∑+u→11∑+g、33∏g→13∑+u跃迁的时间分辨激光感应荧光(LIF)强度得到它们的自发辐射率和碰撞转移率。在H2压强为3×103Pa时,K2(91∑+g)与H2的碰撞转移能为16930cm-1。H2的平均振转能占平均转移能的56%。