Guaranteeing Spatial Uniformity in Reaction-Diffusion Systems Using Weighted L^2 Norm Contractions

We present conditions that guarantee spatial uniformity of the solutions of reaction-diffusion partial differential equations. These equations are of central importance to several diverse application fields concerned with pattern formation. The conditions make use of the Jacobian matrix and Neumann eigenvalues of elliptic operators on the given spatial domain. We present analogous conditions that apply to the solutions of diffusively-coupled networks of ordinary differential equations. We derive numerical tests making use of linear matrix inequalities that are useful in certifying these conditions. We discuss examples relevant to enzymatic cell signaling and biological oscillators. From a systems biology perspective, the paper’s main contributions are unified verifiable relaxed conditions that guarantee spatial uniformity of biological processes.

[1]  E. Yaz Linear Matrix Inequalities In System And Control Theory , 1998, Proceedings of the IEEE.

[2]  Mario di Bernardo,et al.  Global Entrainment of Transcriptional Systems to Periodic Inputs , 2009, PLoS Comput. Biol..

[3]  Gordon F. Royle,et al.  Algebraic Graph Theory , 2001, Graduate texts in mathematics.

[4]  J. Hale Diffusive coupling, dissipation, and synchronization , 1997 .

[5]  C. Cosner,et al.  Spatial Ecology via Reaction-Diffusion Equations , 2003 .

[6]  Eduardo D. Sontag,et al.  Diagonal stability of a class of cyclic systems and its connection with the secant criterion , 2006, Autom..

[7]  P. Hartman On Stability in the Large for Systems of Ordinary Differential Equations , 1961, Canadian Journal of Mathematics.

[8]  C. Cosner,et al.  Spatial Ecology via Reaction-Diffusion Equations: Cantrell/Diffusion , 2004 .

[9]  D. C. Lewis Metric Properties of Differential Equations , 1949 .

[10]  Murat Arcak,et al.  Certifying spatially uniform behavior in reaction-diffusion PDE and compartmental ODE systems , 2011, Autom..

[11]  Eduardo D. Sontag,et al.  Synchronization of Interconnected Systems With Applications to Biochemical Networks: An Input-Output Approach , 2009, IEEE Transactions on Automatic Control.

[12]  Zahra Aminzare,et al.  Logarithmic Lipschitz norms and diffusion-induced instability , 2012, Nonlinear analysis, theory, methods & applications.

[13]  Eckehard Schöll,et al.  Nonlinear Spatio-Temporal Dynamics and Chaos in Semiconductors , 2001 .

[14]  A. M. Turing,et al.  The chemical basis of morphogenesis , 1952, Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences.

[15]  Hal L. Smith,et al.  Monotone Dynamical Systems: An Introduction To The Theory Of Competitive And Cooperative Systems (Mathematical Surveys And Monographs) By Hal L. Smith , 1995 .

[16]  Nathan van de Wouw,et al.  Convergent dynamics, a tribute to Boris Pavlovich Demidovich , 2004, Syst. Control. Lett..

[17]  M. Elowitz,et al.  A synthetic oscillatory network of transcriptional regulators , 2000, Nature.

[18]  Xin-She Yang Turing pattern formation of catalytic reaction–diffusion systems in engineering applications , 2003 .

[19]  Jean-Jacques E. Slotine,et al.  On Contraction Analysis for Non-linear Systems , 1998, Autom..

[20]  Stephen P. Boyd,et al.  Linear Matrix Inequalities in Systems and Control Theory , 1994 .

[21]  Charles R. Johnson,et al.  Topics in Matrix Analysis , 1991 .

[22]  A. Gierer Generation of biological patterns and form: some physical, mathematical, and logical aspects. , 1981, Progress in biophysics and molecular biology.

[23]  Murat Arcak,et al.  Nonlinear Analysis of Ring Oscillator and Cross-Coupled Oscillator Circuits , 2010 .

[24]  Antoine Henrot,et al.  Extremum Problems for Eigenvalues of Elliptic Operators , 2006 .

[25]  H. Meinhardt,et al.  A theory of biological pattern formation , 1972, Kybernetik.