On the Truncated Kernel Function

نویسندگان

  • Jean-Marie De Koninck
  • Cheikh Anta DIOP
  • Nicolas Doyon
چکیده

p|n p is the well-known kernel function and P (n) is the largest prime factor of n. In particular, we show that the maximal order of γ2(n) for n ≤ x is (1 + o(1))x/ log x as x → ∞ and that ∑n≤x 1/γ2(n) = (1+ o(1))ηx/ log x, where η = ζ(2)ζ(3)/ζ(6). We further show that, given any positive real number u < 1, limx→∞ 1 x#{n ≤ x : γ2(n) < xu} = limx→∞ 1 x#{n ≤ x : n/P (n) < xu} = 1− ρ(1/(1− u)), where ρ is the Dickman function. We also show that n/P (n) can very often be

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A Note on the Smooth Estimator of the Quantile Function with Left-Truncated Data

This note focuses on estimating the quantile function based on the kernel smooth estimator under a truncated dependent model. The Bahadurtype representation of the kernel smooth estimator is established, and from the Bahadur representation it can be seen that this estimator is strongly consistent.

متن کامل

Asymptotic Behaviors of Nearest Neighbor Kernel Density Estimator in Left-truncated Data

Kernel density estimators are the basic tools for density estimation in non-parametric statistics.  The k-nearest neighbor kernel estimators represent a special form of kernel density estimators, in  which  the  bandwidth  is varied depending on the location of the sample points. In this paper‎, we  initially introduce the k-nearest neighbor kernel density estimator in the random left-truncatio...

متن کامل

Density Estimators for Truncated Dependent Data

In some long term studies, a series of dependent and possibly truncated lifetime data may be observed. Suppose that the lifetimes have a common continuous distribution function F. A popular stochastic measure of the distance between the density function f of the lifetimes and its kernel estimate fn is the integrated square error (ISE). In this paper, we derive a central limit theorem for t...

متن کامل

Almost Sure Convergence of Kernel Bivariate Distribution Function Estimator under Negative Association

Let {Xn&nbsp;,n=>1} be a strictly stationary sequence of negatively associated random variables, with common distribution function F. In this paper, we consider the estimation of the two-dimensional distribution function of (X1, Xk+1)&nbsp;for fixed $K /in N$ based on kernel type estimators. We introduce asymptotic normality and properties and moments. From these we derive the optimal bandwidth...

متن کامل

An infeasible interior-point method for the $P*$-matrix linear complementarity problem based on a trigonometric kernel function with full-Newton step

An infeasible interior-point algorithm for solving the$P_*$-matrix linear complementarity problem based on a kernelfunction with trigonometric barrier term is analyzed. Each (main)iteration of the algorithm consists of a feasibility step andseveral centrality steps, whose feasibility step is induced by atrigonometric kernel function. The complexity result coincides withthe best result for infea...

متن کامل

An Interior Point Algorithm for Solving Convex Quadratic Semidefinite Optimization Problems Using a New Kernel Function

In this paper, we&nbsp;consider convex quadratic semidefinite optimization problems and&nbsp;provide a primal-dual Interior Point Method (IPM) based on a new&nbsp;kernel function with a trigonometric barrier term. Iteration&nbsp;complexity of the algorithm is analyzed using some easy to check&nbsp;and mild conditions. Although our proposed kernel function is&nbsp;neither a Self-Regular (SR) fun...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2012