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A time-periodic oscillatory hexagonal solution in a 2-dimensional integro-differential reaction-diffusion system 二维积分-微分反应-扩散系统的时间周期振荡六方解
IF 0.2 4区 数学 Q4 Mathematics Pub Date : 2020-07-01 DOI: 10.32917/hmj/1595901630
Shunsuke Kobayashi, T. Sakamoto, Yasuhide Uegata, S. Yazaki
An oscillatory hexagonal solution in a two component reaction-di¤usion system with a non-local term is studied. By applying the center manifold theory, we obtain a four-dimensional dynamical system that informs us about the bifurcation structure around the trivial solution. Our results suggest that the oscillatory hexagonal solution can bifurcate from a stationary hexagonal solution via the Hopf bifurcation. This provides a reasonable explanation for the existence of the oscillatory hexagon.
研究了一类具有非局域项的双组分反应扩散体系的振荡六方解。通过应用中心流形理论,我们得到了一个四维动力系统,它告诉我们围绕平凡解的分岔结构。我们的结果表明振荡六边形解可以通过Hopf分岔从静止六边形解分叉。这为振荡六边形的存在提供了一个合理的解释。
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引用次数: 0
Calderón-Zygmund operators with variable kernels acting on weak Musielak-Orlicz Hardy spaces 弱Musielak-Orlicz-Hardy空间上的变核Calderón-Zygmund算子
IF 0.2 4区 数学 Q4 Mathematics Pub Date : 2020-07-01 DOI: 10.32917/hmj/1595901624
Bo Li
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引用次数: 0
Asymptotic bias of $C_p$ type criterion for model selection in the GEE when the sample size and the cluster sizes are large 当样本容量和聚类容量较大时,$C_p$类型准则在GEE模型选择中的渐近偏差
IF 0.2 4区 数学 Q4 Mathematics Pub Date : 2020-07-01 DOI: 10.32917/hmj/1595901629
Tomoharu Sato
A bstract . In this paper, we evaluate the asymptotic bias of C p type criterion for model selection in the GEE (generalized estimating equation) method when the sample and cluster sizes are large. We present the asymptotic properties of GEE estimator and the model selection criterion. Then, we present the order of the asymptotic bias of PMSEG (the prediction mean squared error in the GEE).
摘要。本文研究了广义估计方程(GEE)方法在样本和聚类较大时模型选择的C - p型准则的渐近偏差。给出了GEE估计量的渐近性质和模型选择准则。然后,我们给出了PMSEG渐近偏差的阶数(预测均方根误差)。
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引用次数: 0
The $E(1)$-local Picard graded homotopy groups of the sphere spectrum at the prime two 素数二上球谱的$E(1)$-局部Picard分次同伦群
IF 0.2 4区 数学 Q4 Mathematics Pub Date : 2020-07-01 DOI: 10.32917/hmj/1595901623
Ryo Kato
A bstract . Let E ð 1 Þ be the first Johnson-Wilson spectrum at the prime two. In this paper, we calculate the homotopy groups of the E ð 1 Þ -localized sphere spectrum with a grading over the Picard group of the stable homotopy category of E ð 1 Þ -local spectra.
摘要。设E abl 1Þ是素数二处的第一个Johnson-Wilson谱。在本文中,我们计算了E?1?-局部谱的稳定同伦范畴的Picard群上的具有分级的E?1Þ-局部球谱的同伦群。
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引用次数: 0
The configuration space of almost regular polygons 几乎正多边形的配置空间
IF 0.2 4区 数学 Q4 Mathematics Pub Date : 2020-07-01 DOI: 10.32917/hmj/1595901626
S. Goto, Kazushi Komatsu, Junya Yagi
A bstract . For a given angle y , consider the configuration space C n of equilateral n -gons in R 3 whose bond angles are equal to y except for two successive ones. We show that when n b 8 and y is su‰ciently close to the inner angle n (cid:1) 2 n p of the regular n -gon, C n is homeomorphic to the ð n (cid:1) 4 Þ -dimensional sphere S n (cid:1) 4 .
一个混蛋。For a赐予安格尔y,认为《configuration太空equilateral之C n n -gons在R 3是谁的邦德angles equal to y除了For two successive势力。我们表演那8当n b和y是苏‰ciently接近《内在安格尔n (cid): 1)普通之2 n p n -gon C, n是homeomorphicðn (cid》:1)4Þ-dimensional范围S n (cid: 1) 4。
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引用次数: 1
The torsion generating set of the mapping class groups and the Dehn twist subgroups of non-orientable surfaces of odd genus 奇亏格不可定向曲面的映射子群和Dehn扭子群的扭生成集
IF 0.2 4区 数学 Q4 Mathematics Pub Date : 2020-07-01 DOI: 10.32917/hmj/1595901627
Xiaoming Du
A bstract . Let N g be the non-orientable surface of genus g , MCG ð N g Þ the mapping class group of N g , T ð N g Þ the index 2 subgroup generated by all Dehn twists of MCG ð N g Þ . We prove that for odd genus, (1) if g ¼ 4 k þ 3 ð k b 1 Þ , MCG ð N g Þ can be generated by three elements of finite order; (2) if g ¼ 4 k þ 1 ð k b 2 Þ , T ð N g Þ can be generated by three elements of finite order.
一个混蛋。让N g属non-orientable地表》成为g, MCGðN g绘图课集团》Þg, TðN gÞ《指数2 subgroup generated by所有Dehn扭曲了的MCGðN gÞ。我们证明那个奇怪的,(1)如果g¼属4 kþ3ðk b 1Þ,MCGðN gÞ可以成为generated byfinite秩序的三个文本;(2)如果g¼4 kþ1,2Þ,Tððk b N gÞ可以成为generated by三个finite命令的文本。
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引用次数: 3
The third term in lens surgery polynomials 晶状体外科多项式中的第三项
IF 0.2 4区 数学 Q4 Mathematics Pub Date : 2020-05-18 DOI: 10.32917/H2020050
M. Tange
It is well-known that the second coefficient of the Alexander polynomial of any lens space knot in $S^3$ is $-1$. We show that the non-zero third coefficient condition of the Alexander polynomial of a lens space knot $K$ in $S^3$ confines the surgery to the one realized by the $(2,2g+1)$-torus knot, where $g$ is the genus of $K$. In particular, such a lens surgery polynomial coincides with $Delta_{T(2,2g+1)}(t)$.
众所周知,任何透镜空间结的亚历山大多项式在$S^3$中的第二系数为$-1$。我们证明了透镜空间结$K$在$S^3$中的Alexander多项式的非零第三系数条件将手术限制为通过$(2,2g+1)$环面结实现的手术,其中$g$是$K$的亏格。特别地,这样的晶状体手术多项式与$Delta_{T(2,2g+1)}(T)$一致。
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引用次数: 4
A note on pairs of rings with the same prime ideals 具有相同素数理想的环对的注释
IF 0.2 4区 数学 Q4 Mathematics Pub Date : 2020-05-12 DOI: 10.32917/h2021037
Rahul Kumar, A. Gaur
We study the ring extensions R subseteq T having the same set of prime ideals provided Nil(R) is a divided prime ideal. Some conditions are given under which no such T exist properly containing R. Using idealization theory, the examples are also discussed to strengthen the results.
我们研究了具有相同素数理想集的环扩张Rsubsteq T,条件是Nil(R)是一个分素数理想。给出了不存在适当含R的T的一些条件,并用理想化理论讨论了实例以加强结果。
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引用次数: 1
The spaces of formal power series of class M of Roumieu type and of Beurling type Roumieu型和Beurling型M类形式幂级数的空间
IF 0.2 4区 数学 Q4 Mathematics Pub Date : 2020-03-01 DOI: 10.32917/hmj/1583805652
Xiaoran Jin
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引用次数: 1
A $C_p$ type criterion for model selection in the GEE method when both scale and correlation parameters are unknown 当尺度和相关参数都未知时,GEE方法中用于模型选择的一种$C_p$类型准则
IF 0.2 4区 数学 Q4 Mathematics Pub Date : 2020-03-01 DOI: 10.32917/hmj/1583805651
Tomoharu Sato, Yu Inatsu
Recently, in real data analysis, we consider the data with correlation for many fields, for example medical science, economics and many other fields. Especially, the data what is measured repeatedly over times from same subjects, named longitudinal data, is widely used in those fields. In general, the data from same subject have correlation, on the other hand, the data from different subjects are independent.. Liang and Zeger (1986) introduce an extension of generalized linear model (Nelder and Wedderburn, 1972), named generalized estimating equation (GEE). GEE method is one of the methods to analyze the data with correlation. Defining features of the GEE method are that we can use working correlation matrix one can choose freely. We can get good estimation of parameters if working correlation matrix is correct or not. It is important that we don’t need a full specification of a joint distribution. In those reason, GEE method is widely used in many fields. ”Model selection” is also important problem, so we apply model selection to the GEE. In general, in model selection, we measure the goodness of fit by risk function, and choose the model with smallest risk function. Then, by using the asymptotically unbiased estimator of risk function, we consider the model selection criterion. For example, expected Kullback-Leibler information (Kullback and Leibler, 1951), and most famous Akaike’s information criterion (AIC) (Akaike, 1973, 1974) are used. The AIC is calculated by AIC = −2× (maximumloglikelihood)+2× (thenumberofparameters). Furthermore, the GIC what is expansion of the AIC proposed by Nishii (1984) and Rao (1988) is also applied for many fields. However, we can’t use the model selection criterion based likelihood as AIC or GIC because of we don’t specify joint distribution. Some model selection criteria like AIC and GIC in the GEE method have been already proposed. For example, Pan (2001) proposed the QIC based on the quasi-likelihood (defined by Wedderburn, 1974). Furthermore, the GCp proposed by Cantoni et al. (2005) is the generally extension of Mallow’s Cp (Mallows, 1973). The CIC proposed by Hin and Wang (2009) and Gosho et al. (2011) is criterion what select the correlation structure. Unfortunately, the above criteria are derived without consider the correlation structure so we regard to these criteria don’t reflect the correlation. From this background, in Inatsu and Imori (2013) proposed a new model selection criterion PMSEG (the prediction mean squared error in the GEE) using the risk function based on the prediction mean squared error (PMSE) normalized by the covariance matrix. Inatsu and Imori (2013) proposed this criterion when both correlation and scale parameters are known, but correlation and scale parameters are generally unknown so we consider this criterion when both correlation and scale parameters are unknown. In this paper, the main topic is to propose the model selection criterion considered correlation structure when both
最近,在实际数据分析中,我们考虑了许多领域的相关数据,例如医学、经济学和许多其他领域。特别是,从同一受试者身上多次重复测量的数据,称为纵向数据,在这些领域得到了广泛应用。一般来说,来自同一主题的数据具有相关性,另一方面,来自不同主题的数据是独立的。。梁和Zeger(1986)介绍了广义线性模型(Nelder和Wedderburn,1972)的一个推广,称为广义估计方程(GEE)。GEE方法是对具有相关性的数据进行分析的方法之一。GEE方法的定义特征是,我们可以使用可以自由选择的工作相关矩阵。如果工作相关矩阵正确与否,我们可以得到很好的参数估计。重要的是,我们不需要联合分发的完整规范。因此,GEE方法在许多领域得到了广泛的应用。”选型”也是一个重要问题,因此我们将选型应用于GEE。通常,在模型选择中,我们通过风险函数来衡量拟合优度,并选择风险函数最小的模型。然后,利用风险函数的渐近无偏估计量,考虑模型的选择准则。例如,使用了预期的Kullback-Leibler信息(Kullback和Leibler,1951)和最著名的Akaike信息准则(AIC)(Akaike,19731974)。AIC的计算公式为AIC=−2×(最大似然比)+2×(参数个数)。此外,Nishii(1984)和Rao(1988)提出的作为AIC扩展的GIC也应用于许多领域。然而,由于我们没有指定联合分布,我们不能将基于模型选择准则的似然性用作AIC或GIC。已经提出了GEE方法中的一些模型选择标准,如AIC和GIC。例如,Pan(2001)提出了基于拟似然的QIC(由Wedderburn定义,1974)。此外,Cantoni等人(2005)提出的GCp是Mallow Cp的一般扩展(Mallows,1973)。Hin和Wang(2009)以及Gosho等人(2011)提出的CIC是选择相关结构的标准。不幸的是,上面的标准是在没有考虑相关性结构的情况下推导出来的,所以我们认为这些标准没有反映相关性。在此背景下,Inatsu和Imori(2013)提出了一种新的模型选择标准PMSEG(GEE中的预测均方误差),该标准使用基于协方差矩阵归一化的预测均方差(PMSE)的风险函数。Inatsu和Imori(2013)在相关性和标度参数都已知的情况下提出了这个标准,但相关性和标量参数通常是未知的,所以我们在相关性和尺度参数都未知的情况下考虑这个标准。本文的主要内容是在相关参数和尺度参数都未知的情况下,提出考虑相关结构的模型选择准则。为了提出新的模型选择准则,我们评估了风险函数估计量的渐近偏差,并考虑了估计相关参数和尺度参数的影响。我们关注的是“变量选择”,即选择变量的最佳组合。本文组织如下:在第2节中,我们介绍了GEE框架,并提出了参数的估计方法。然后,我们对GEE估计量进行了随机展开。在第3节中,我们定义了风险函数的估计,并通过计算偏差来评估渐近偏差,并提出了新的模型选择准则。在第4节中,我们进行了数值研究。在第5节中,我们结束讨论。在附录中,我们提供了偏差的计算过程。
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引用次数: 1
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Hiroshima Mathematical Journal
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