New result of existence of periodic solution for a Hopfield neural networks with neutral time-varying delays
Journal Title: Surveys in Mathematics and its Applications - Year 2010, Vol 5, Issue 0
Abstract
In this paper, a Hopfield neural network with neutral time-varying delays is investigated by using the continuation theorem of Mawhin's coincidence degree theory and some analysis technique. Without assuming the continuous differentiability of time-varying delays, sufficient conditions for the existence of the periodic solutions are given. The result of this paper is new and extends previous known result.
Authors and Affiliations
Chuanzhi Bai, Chunhong Li
Existence and nonexistence results for second-order Neumann boundary value problem
In this paper some existence and nonexistence results for positive solutions are obtained for second-order boundary value problem <CENTER>-u"+Mu=f(t,u), tâ(0,1) </CENTER>with Neumann boundary conditions <C...
Existence of Positive Solution to a Quasilinear Elliptic Problem in <B>R</B><SUP>N</SUP>
In this paper we prove the existence of positive solution for the following quasilinear problem <BR>â<sub>p</sub>u = a(x)f(u) in <B>R</B><sup>N</sup> <BR>u > l >0 in...
Identifiability of the multivariate normal by the maximum and the minimum
In this paper, we have discussed theoretical problems in statistics on identification of parameters of a non-singular multi-variate normal when only either the distribution of the maximum or the distribution of the minim...
Existence and uniqueness of the solution of the coupled conduction-radiation energy transfer on diffuse-gray surfaces
This article gives very significant and up-to-date analytical results on the conductive-radiative heat transfer model containing two conducting and opaque materials which are in contact by radiation through a transparent...
Uncertainty functional differential equations for finance
In this paper, we prove a local existence and uniqueness result for uncertain functional differential equation driven by canonical process.