scholarly journals Global and Local Behavior of the System of Piecewise Linear Difference Equations xn+1 = |xn| − yn − b and yn+1 = xn − |yn| + 1 Where b ≥ 4

Mathematics ◽  
2021 ◽  
Vol 9 (12) ◽  
pp. 1390
Author(s):  
Busakorn Aiewcharoen ◽  
Ratinan Boonklurb ◽  
Nanthiya Konglawan

The aim of this article is to study the system of piecewise linear difference equations xn+1=|xn|−yn−b and yn+1=xn−|yn|+1 where n≥0. A global behavior for b=4 shows that all solutions become the equilibrium point. For a large value of |x0| and |y0|, we can prove that (i) if b=5, then the solution becomes the equilibrium point and (ii) if b≥6, then the solution becomes the periodic solution of prime period 5.


1980 ◽  
Vol 4 (4) ◽  
pp. 715-731 ◽  
Author(s):  
Manuel Scarowsky ◽  
Abraham Boyarsky




1997 ◽  
Vol 27 (3) ◽  
pp. 257-265
Author(s):  
ZDZISLAW SZAFRANSKI ◽  
BLAZEJ SZMANDA

We obtain sufficient conditions for the oscillation of all solutions of some linear difference equations with variable coefficients.



2019 ◽  
Vol 25 (2) ◽  
pp. 475-497
Author(s):  
Vincent Picandet ◽  
Noël Challamel

The static behaviour of an elastoplastic axial lattice is studied in this paper through both discrete and nonlocal continuum analyses. The elastoplastic lattice system is composed of piecewise linear hardening–softening elastoplastic springs connected between each other via nodes, loaded by concentrated tension forces. This inelastic lattice evolution problem is ruled by some difference equations, which are shown to be equivalent to the finite difference formulation of a continuous elastoplastic bar problem under distributed tension load. Exact solutions of this inelastic discrete problem are obtained from the resolution of this piecewise linear difference equations system. Localization of plastic strain in the first elastoplastic spring, connected to the fixed end, is observed in the softening range. A continuous nonlocal elastoplastic theory is then built from the lattice difference equations using a continualization process, based on a rational asymptotic expansion of the associated pseudo-differential operators. The continualized lattice-based model is equivalent to a distributed nonlocal continuous elastoplastic theory coupled to a cohesive elastoplastic model, which is shown to capture efficiently the scale effects of the reference axial lattice. The hardening–softening localization process of the nonlocal elastoplastic continuous model strongly depends on the lattice spacing, which controls the size of the nonlocal length scales. An analogy with the one-dimensional lattice system in bending is also shown. The considered microstructured elastoplastic beam is a Hencky bar-chain connected by elastoplastic rotational springs. It is shown that the length scale calibration of the nonlocal model strongly depends on the degree of the difference equations of each lattice model (namely axial or bending lattice). These preliminary results valid for one-dimensional systems allow possible future developments of new nonlocal elastoplastic models, including two- or even three-dimensional elastoplastic interactions.



In this paper, the authors obtained some new sufficient conditions for the oscillation of all solutions of the fourth order nonlinear difference equation of the form ( ) ( 1 ) 0 3  anxn  pnxn  qn f xn  n = 0,1,2, … ., where an, pn, qn positive sequences. The established results extend, unify and improve some of the results reported in the literature. Examples are provided to illustrate the main result.



COVID-19 could affect the global and local economy mainly by directly affecting production, by creation of disruption in supply chains and markets, as well as through its financial impact on firms and markets and organizations. However, the extent to which the impact is felt depends a great deal on the how governments and the public react to the disease. Here, a model is proposed to investigate the effect of the spread of corona virus infection and the consequent measures taken in response to its spread to lessen its impacts on the society and the economy. The interaction between the number of infected individuals and the variations in the national Growth Product, GDP, is modeled by a system of impulsive non-linear difference equations with delays. We are specifically interested in how different lock down measures effect business recovery as reflected by the national GDP. The model is analyzed to obtain valuable insights as to the factors that could yield different successes in the pandemic control and business recovery in various scenarios. Based on data of newly infected cases and cumulative cases weekly in Thailand, the model is simulated in a variety of scenarios to illustrate how different strategies and lockdown measures may give rise to different recovery rates.





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