Nonlinear Dynamics of Pattern Formation in Physics and Biology

Author(s):  
Raymond E. Goldstein
Pramana ◽  
2015 ◽  
Vol 84 (3) ◽  
pp. 455-471
Author(s):  
M C CROSS ◽  
EYAL KENIG ◽  
JOHN-MARK A ALLEN

1996 ◽  
Vol 06 (11) ◽  
pp. 2127-2144 ◽  
Author(s):  
VLADIMIR D. SHALFEEV ◽  
ALEXEY S. KUZNETSOV

In this letter we consider the nonlinear dynamics of a 2-dimensional CNN (cellular neural networks) made of a two-dimensional array of Chua’s oscillators, interconnected via nonlinear coupling. We focus our attention on the possibility of intelligently controlling the pattern formation process by applying an external signal from independent current sources to the cells of the CNN, or by an intelligent choice of initial conditions.


2008 ◽  
Vol 16 (02) ◽  
pp. 197-217 ◽  
Author(s):  
T. YU. PLYUSNINA ◽  
A. I. LAVROVA ◽  
C. B. PRICE ◽  
G. YU. RIZNICHENKO ◽  
A. B. RUBIN

The phenomenon of patterned distribution of pH near the cell membrane of the algae Chara corallina upon illumination is well-known. In this paper, we develop a mathematical model, based on the detailed kinetic analysis of proton fluxes across the cell membrane, to explain this phenomenon. The model yields two coupled nonlinear partial differential equations which describe the spatial dynamics of proton concentration changes and transmembrane potential generation. The experimental observation of pH pattern formation, its period and amplitude of oscillation, and also its hysteresis in response to changing illumination, are all reproduced by our model. A comparison of experimental results and predictions of our theory is made. Finally, a mechanism for pattern formation in Chara corallina is proposed.


2012 ◽  
Vol 21 (02) ◽  
pp. 1250018 ◽  
Author(s):  
J. G. HUANG ◽  
J. M. CHRISTIAN ◽  
G. S. MCDONALD

We predict, for the first time to our knowledge, that purely-absorptive nonlinearity can support spontaneous spatial fractal pattern formation. A passive optical ring cavity with a thin slice of saturable absorber is analyzed. Linear stability analysis yields threshold curves for Turing (static) instabilities with features proposed as characteristics of potential fractal pattern formation. Numerical simulations of the fully-nonlinear dynamics, with both one and two transverse dimensions, confirm theoretical predictions.


2013 ◽  
Vol 2013 ◽  
pp. 1-11 ◽  
Author(s):  
Shengmao Fu ◽  
Fenli Cao

Nonlinear dynamics near an unstable constant equilibrium in a Keller-Segel model with the source termup(1-u)is considered. It is proved that nonlinear dynamics of a general perturbation is determined by the finite number of linear growing modes over a time scale ofln(1/δ), whereδis a strength of the initial perturbation.


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