scholarly journals Absence of $l^1$ eigenfunctions for lattice operators with fast local periodic approximation

2015 ◽  
Vol 5 (3) ◽  
pp. 533-546 ◽  
Author(s):  
Alexander Gordon
2019 ◽  
Vol 11 (4) ◽  
Author(s):  
Vladislav Popov ◽  
Marina Yakovleva ◽  
Fabrice Boust ◽  
Jean-Luc Pelouard ◽  
Fabrice Pardo ◽  
...  

2013 ◽  
Vol 2013 ◽  
pp. 1-8 ◽  
Author(s):  
Jingli Xie ◽  
Zhiguo Luo ◽  
Guoping Chen

This paper is concerned with the existence of homoclinic solutions for a class of the second order impulsive Hamiltonian systems. By employing the Mountain Pass Theorem, we demonstrate that the limit of a2kT-periodic approximation solution is a homoclinic solution of our problem.


1988 ◽  
Vol 8 (2) ◽  
pp. 311-326 ◽  
Author(s):  
Mahesh G. Nerurkar

AbstractIn this paper we prove results about lifting dynamical and ergodic properties of a given smooth dynamical system to its skew-product extensions by smooth cocycles. The classical small divisor argument shows that in general such results are not possible. However, using the notion of the ‘fast periodic approximation’ introduced by A. Katok, we will show that if the dynamical system admits such a ‘fast periodic approximation’ then indeed a certain qualitative behaviour which is prohibited by small divisor type conditions is now in fact generic. The techniques are also applied to show that ‘recurrent-proximal’ behaviour of solutions of linear differential equations with almost periodic coefficients is generic under suitable conditions on the coefficient matrix.


2020 ◽  
pp. 1-43
Author(s):  
Denis Mikhailovich Bulanov ◽  
Victor Vasil’yevich Sazonov

Author(s):  
Tetiana Boiko ◽  
Oleg Karpenkov ◽  
Bulat Rakhimberdiev

In this paper we develop a forecasting algorithm for recurrent patterns in consumer demand. We study this problem in two different settings: pull and push models. We discuss several features of the algorithm concerning sampling, periodic approximation, denoising and forecasting.


Sign in / Sign up

Export Citation Format

Share Document