Multiplicity of Periodic Solutions for Second Order Hamiltonian Systems with Asymptotically Quadratic Conditions

A class of second order non-autonomous Hamiltonian systems with asymptotically quadratic conditions is considered in this paper.Using Fountain Theorem,one multiplicity result of periodic solutions is obtained,which improves some previous results.

Periodic solutions of a semilinear variable coefficient wave equation under asymptotic nonresonance conditions

We consider the periodic solutions of a semilinear variable coefficient wave equation arising from the forced vibrations of a nonhomogeneous string and the propagation of seismic waves in nonisotropic media.The variable coefficient characterizes the inhomogeneity of media and its presence usually leads to the destruction of the compactness of the inverse of the linear wave operator with periodic-Dirichlet boundary conditions on its range.In the pioneering work of Barbu and Pavel(1997),they gave the existence and regularity of the periodic solution for Lipschitz,nonresonant and monotone nonlinearity under the assumptionηu>0(see Section 2 for its definition)on the coefficient u(x)and left the caseηu=0 as an open problem.In this paper,by developing the invariant subspace method and using the complete reduction technique and Leray-Schauder theory,we obtain the existence of periodic solutions for such a problem when the nonlinear term satisfies the asymptotic nonresonance conditions.Our result needs neither requirements on the coefficient except the natural positivity assumption(i.e.,u(x)>0)nor the monotonicity assumption on the nonlinearity.In particular,when the nonlinear term is an odd function and satisfies the global nonresonance conditions,there is only one(trivial)solution to this problem in the invariant subspace.

On the Asymptotic Behavior of Nearest Neighbor Estimator of Conditional Median

This paper deals with the estimation in nonparametrio regression model.Sincethe conditional mean is sensitive to the tail behavior of the conditional distributionof the model,instead conditional median is considered.For estimation of theconditional median,the sequence of the nearest neighbor estimators is shown to beasymptotio normal and consistent.

A note on testing conditional independence for social network analysis

In social network analysis, logistic regression models have been widely used to establish the relationship between the response variable and covariates. However, such models often require the network relationships to be mutually independent, after controlling for a set of covariates. To assess the validity of this assumption,we propose test statistics, under the logistic regression setting, for three important social network drivers. They are, respectively, reciprocity, centrality, and transitivity. The asymptotic distributions of those test statistics are obtained. Extensive simulation studies are also presented to demonstrate their finite sample performance and usefulness.