99 research outputs found
Sign patterns for chemical reaction networks
Most differential equations found in chemical reaction networks (CRNs) have
the form , where lies in the nonnegative orthant, where
is a real matrix (the stoichiometric matrix) and is a column vector
consisting of real-valued functions having a special relationship to . Our
main interest will be in the Jacobian matrix, , of , in particular
in whether or not each entry has the same sign for all in the
orthant, i.e., the Jacobian respects a sign pattern. In other words species
always acts on species in an inhibitory way or its action is always
excitatory.
In Helton, Klep, Gomez we gave necessary and sufficient conditions on the
species-reaction graph naturally associated to which guarantee that the
Jacobian of the associated CRN has a sign pattern. In this paper, given we
give a construction which adds certain rows and columns to , thereby
producing a stoichiometric matrix corresponding to a new CRN with
some added species and reactions. The Jacobian for this CRN based on
has a sign pattern. The equilibria for the and the based CRN are
in exact one to one correspondence with each equilibrium for the original
CRN gotten from an equilibrium for the new CRN by removing its added
species. In our construction of a new CRN we are allowed to choose rate
constants for the added reactions and if we choose them large enough the
equilibrium is locally asymptotically stable if and only if the
equilibrium is locally asymptotically stable. Further properties of the
construction are shown, such as those pertaining to conserved quantities and to
how the deficiencies of the two CRNs compare.Comment: 23 page
Guaranteed optimal reachability control of reaction-diffusion equations using one-sided Lipschitz constants and model reduction
We show that, for any spatially discretized system of reaction-diffusion, the
approximate solution given by the explicit Euler time-discretization scheme
converges to the exact time-continuous solution, provided that diffusion
coefficient be sufficiently large. By "sufficiently large", we mean that the
diffusion coefficient value makes the one-sided Lipschitz constant of the
reaction-diffusion system negative. We apply this result to solve a finite
horizon control problem for a 1D reaction-diffusion example. We also explain
how to perform model reduction in order to improve the efficiency of the
method
A Feedback Quenched Oscillator Produces Turing Patterning with One Diffuser
Efforts to engineer synthetic gene networks that spontaneously produce patterning in multicellular ensembles have focused on Turing's original model and the “activator-inhibitor” models of Meinhardt and Gierer. Systems based on this model are notoriously difficult to engineer. We present the first demonstration that Turing pattern formation can arise in a new family of oscillator-driven gene network topologies, specifically when a second feedback loop is introduced which quenches oscillations and incorporates a diffusible molecule. We provide an analysis of the system that predicts the range of kinetic parameters over which patterning should emerge and demonstrate the system's viability using stochastic simulations of a field of cells using realistic parameters. The primary goal of this paper is to provide a circuit architecture which can be implemented with relative ease by practitioners and which could serve as a model system for pattern generation in synthetic multicellular systems. Given the wide range of oscillatory circuits in natural systems, our system supports the tantalizing possibility that Turing pattern formation in natural multicellular systems can arise from oscillator-driven mechanisms
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