Search results for "Nonlinear Sciences - Cellular Automata and Lattice Gases"

showing 9 items of 9 documents

Weakly coupled map lattice models for multicellular patterning and collective normalization of abnormal single-cell states

2017

We present a weakly coupled map lattice model for patterning that explores the effects exerted by weakening the local dynamic rules on model biological and artificial networks composed of two-state building blocks (cells). To this end, we use two cellular automata models based on: (i) a smooth majority rule (model I) and (ii) a set of rules similar to those of Conway's Game of Life (model II). The normal and abnormal cell states evolve according with local rules that are modulated by a parameter $\kappa$. This parameter quantifies the effective weakening of the prescribed rules due to the limited coupling of each cell to its neighborhood and can be experimentally controlled by appropriate e…

0301 basic medicineNormalization (statistics)Majority ruleTime FactorsFOS: Physical sciencesAbnormal cellPattern Formation and Solitons (nlin.PS)Models BiologicalCell Physiological PhenomenaCombinatorics03 medical and health sciences0302 clinical medicineCell Behavior (q-bio.CB)Physics - Biological PhysicsGame of lifeMathematicsCellular Automata and Lattice Gases (nlin.CG)Artificial networksNonlinear Sciences - Pattern Formation and SolitonsCellular automatonMulticellular organism030104 developmental biologyBiological Physics (physics.bio-ph)030220 oncology & carcinogenesisFOS: Biological sciencesQuantitative Biology - Cell BehaviorBiological systemNonlinear Sciences - Cellular Automata and Lattice GasesCoupled map lattice
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Parallelization of Cellular Automata for Surface Reactions

2002

We present a parallel implementation of cellular automata to simulate chemical reactions on surfaces. The scaling of the computer time with the number of processors for this parallel implementation is quite close to the ideal T/P, where T is the computer time used for one single processor and P the number of processors. Two examples are presented to test the algorithm, the simple A+B->0 model and a realistic model for CO oxidation on Pt(110). By using large parallel simulations, it is possible to derive scaling laws which allow us to extrapolate to even larger system sizes and faster diffusion coefficients allowing us to make direct comparisons with experiments.

Condensed Matter - Materials ScienceCellular Automata and Lattice Gases (nlin.CG)Materials Science (cond-mat.mtrl-sci)FOS: Physical sciencesPattern Formation and Solitons (nlin.PS)Computational Physics (physics.comp-ph)Nonlinear Sciences - Cellular Automata and Lattice GasesNonlinear Sciences - Pattern Formation and SolitonsPhysics - Computational Physics
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Semipredictable dynamical systems

2015

A new class of deterministic dynamical systems, termed semipredictable dynamical systems, is presented. The spatiotemporal evolution of these systems have both predictable and unpredictable traits, as found in natural complex systems. We prove a general result: The dynamics of any deterministic nonlinear cellular automaton (CA) with $p$ possible dynamical states can be decomposed at each instant of time in a superposition of $N$ layers involving $p_{0}$, $p_{1}$,... $p_{N-1}$ dynamical states each, where the $p_{k\in \mathbb{N}}$, $k \in [0, N-1]$ are divisors of $p$. If the divisors coincide with the prime factors of $p$ this decomposition is unique. Conversely, we also prove that $N$ CA w…

Numerical AnalysisDynamical systems theoryCellular Automata and Lattice Gases (nlin.CG)Applied MathematicsComplex systemFOS: Physical sciencesMathematical Physics (math-ph)Nonlinear Sciences - Chaotic Dynamics01 natural sciencesCellular automaton010305 fluids & plasmasCombinatoricsNonlinear systemSuperposition principleModeling and Simulation0103 physical sciencesPrime factorChaotic Dynamics (nlin.CD)Moufang loop010306 general physicsNonlinear Sciences - Cellular Automata and Lattice GasesMathematical PhysicsMathematicsCommunications in Nonlinear Science and Numerical Simulation
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Cellular automaton for chimera states

2016

A minimalistic model for chimera states is presented. The model is a cellular automaton (CA) which depends on only one adjustable parameter, the range of the nonlocal coupling, and is built from elementary cellular automata and the majority (voting) rule. This suggests the universality of chimera-like behavior from a new point of view: Already simple CA rules based on the majority rule exhibit this behavior. After a short transient, we find chimera states for arbitrary initial conditions, the system spontaneously splitting into stable domains separated by static boundaries, ones synchronously oscillating and the others incoherent. When the coupling range is local, nontrivial coherent struct…

PhysicsMajority ruleCellular Automata and Lattice Gases (nlin.CG)General Physics and AstronomyFOS: Physical sciencesPattern Formation and Solitons (nlin.PS)Nonlinear Sciences - Chaotic DynamicsNonlinear Sciences::Cellular Automata and Lattice Gases01 natural sciencesNonlinear Sciences - Pattern Formation and SolitonsCellular automatonNonlinear Sciences - Adaptation and Self-Organizing Systems010305 fluids & plasmasUniversality (dynamical systems)Chimera (genetics)Elementary cellular automaton0103 physical sciencesLagrangian coherent structuresStatistical physicsChaotic Dynamics (nlin.CD)010306 general physicsNonlinear Sciences - Cellular Automata and Lattice GasesAdaptation and Self-Organizing Systems (nlin.AO)
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Unifying vectors and matrices of different dimensions through nonlinear embeddings

2020

Complex systems may morph between structures with different dimensionality and degrees of freedom. As a tool for their modelling, nonlinear embeddings are introduced that encompass objects with different dimensionality as a continuous parameter $\kappa \in \mathbb{R}$ is being varied, thus allowing the unification of vectors, matrices and tensors in single mathematical structures. This technique is applied to construct warped models in the passage from supergravity in 10 or 11-dimensional spacetimes to 4-dimensional ones. We also show how nonlinear embeddings can be used to connect cellular automata (CAs) to coupled map lattices (CMLs) and to nonlinear partial differential equations, derivi…

Pure mathematicsPartial differential equationDynamical systems theoryComputer Networks and CommunicationsCellular Automata and Lattice Gases (nlin.CG)SupergravityDegrees of freedom (physics and chemistry)FOS: Physical sciencesMathematical Physics (math-ph)Pattern Formation and Solitons (nlin.PS)Nonlinear Sciences - Pattern Formation and SolitonsComputer Science ApplicationsNonlinear systemArtificial IntelligenceEmbeddingMathematical structureNonlinear Sciences - Cellular Automata and Lattice GasesMathematical PhysicsInformation SystemsCurse of dimensionalityMathematicsJournal of Physics: Complexity
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From deterministic cellular automata to coupled map lattices

2016

A general mathematical method is presented for the systematic construction of coupled map lattices (CMLs) out of deterministic cellular automata (CAs). The entire CA rule space is addressed by means of a universal map for CAs that we have recently derived and that is not dependent on any freely adjustable parameters. The CMLs thus constructed are termed real-valued deterministic cellular automata (RDCA) and encompass all deterministic CAs in rule space in the asymptotic limit $\kappa \to 0$ of a continuous parameter $\kappa$. Thus, RDCAs generalize CAs in such a way that they constitute CMLs when $\kappa$ is finite and nonvanishing. In the limit $\kappa \to \infty$ all RDCAs are shown to ex…

Statistics and ProbabilityGeneral Physics and AstronomyFOS: Physical sciencesPattern Formation and Solitons (nlin.PS)Space (mathematics)01 natural sciences010305 fluids & plasmasLinear stability analysis0103 physical sciencesLimit (mathematics)Statistical physics010306 general physicsMathematical PhysicsBifurcationPhysicsCellular Automata and Lattice Gases (nlin.CG)Quiescent stateStatistical and Nonlinear PhysicsNonlinear Sciences - Chaotic DynamicsNonlinear Sciences - Pattern Formation and SolitonsCellular automatonNonlinear Sciences - Adaptation and Self-Organizing SystemsHomogeneousModeling and SimulationContinuous parameterChaotic Dynamics (nlin.CD)Adaptation and Self-Organizing Systems (nlin.AO)Nonlinear Sciences - Cellular Automata and Lattice Gases
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Diagrammatic approach to cellular automata and the emergence of form with inner structure

2018

We present a diagrammatic method to build up sophisticated cellular automata (CAs) as models of complex physical systems. The diagrams complement the mathematical approach to CA modeling, whose details are also presented here, and allow CAs in rule space to be classified according to their hierarchy of layers. Since the method is valid for any discrete operator and only depends on the alphabet size, the resulting conclusions, of general validity, apply to CAs in any dimension or order in time, arbitrary neighborhood ranges and topology. We provide several examples of the method, illustrating how it can be applied to the mathematical modeling of the emergence of order out of disorder. Specif…

Theoretical computer scienceStructure (category theory)Physical systemFOS: Physical sciencesPattern Formation and Solitons (nlin.PS)01 natural sciences010305 fluids & plasmasOperator (computer programming)0103 physical sciences010306 general physicsTopology (chemistry)Mathematical PhysicsMathematicsComplement (set theory)Numerical AnalysisHierarchy (mathematics)Applied MathematicsCellular Automata and Lattice Gases (nlin.CG)Mathematical Physics (math-ph)Nonlinear Sciences - Pattern Formation and SolitonsCellular automatonNonlinear Sciences - Adaptation and Self-Organizing SystemsDiagrammatic reasoningModeling and SimulationAlgorithmAdaptation and Self-Organizing Systems (nlin.AO)Nonlinear Sciences - Cellular Automata and Lattice Gases
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Digital calculus: Cellular automata dynamics in closed form

2015

A simple mathematical expression for the universal map for cellular automata is found in closed form with the help of a digit function, whose most basic properties are established. This result is found after proving a theorem on the composition of functions on finite sets. The expression (and the technique used to obtain it) opens the possibility of gaining mathematical insight in any cellular automaton rule since it constitutes at the same time a simple and fast algorithm to implement any such rule.

TheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGESCellular Automata and Lattice Gases (nlin.CG)FOS: Physical sciencesNonlinear Sciences::Cellular Automata and Lattice GasesNonlinear Sciences - Cellular Automata and Lattice Gases
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Topological properties of cellular automata on trees

2012

We prove that there do not exist positively expansive cellular automata defined on the full k-ary tree shift (for k>=2). Moreover, we investigate some topological properties of these automata and their relationships, namely permutivity, surjectivity, preinjectivity, right-closingness and openness.

[INFO.INFO-CC]Computer Science [cs]/Computational Complexity [cs.CC]FOS: Computer and information sciencesDiscrete Mathematics (cs.DM)Formal Languages and Automata Theory (cs.FL)FOS: Physical sciencesComputer Science - Formal Languages and Automata Theory0102 computer and information sciences[INFO.INFO-DM]Computer Science [cs]/Discrete Mathematics [cs.DM]Computational Complexity (cs.CC)Topology01 natural scienceslcsh:QA75.5-76.95[INFO.INFO-FL]Computer Science [cs]/Formal Languages and Automata Theory [cs.FL]0101 mathematicsF.1.1;F.1.2;F.1.3MathematicsCellular Automata and Lattice Gases (nlin.CG)lcsh:Mathematics010102 general mathematicsCellular automaton tree shift expansivity permutivity right-closingness opennesslcsh:QA1-939Nonlinear Sciences::Cellular Automata and Lattice GasesCellular automatonAutomatonComputer Science - Computational Complexity010201 computation theory & mathematicsTree (set theory)lcsh:Electronic computers. Computer scienceF.1.2F.1.3ExpansiveNonlinear Sciences - Cellular Automata and Lattice GasesF.1.1Computer Science::Formal Languages and Automata TheoryComputer Science - Discrete Mathematics
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