Search results for "ordinary differential equation"

showing 10 items of 98 documents

A proof of bistability for the dual futile cycle

2014

Abstract The multiple futile cycle is an important building block in networks of chemical reactions arising in molecular biology. A typical process which it describes is the addition of n phosphate groups to a protein. It can be modelled by a system of ordinary differential equations depending on parameters. The special case n = 2 is called the dual futile cycle. The main result of this paper is a proof that there are parameter values for which the system of ODE describing the dual futile cycle has two distinct stable stationary solutions. The proof is based on bifurcation theory and geometric singular perturbation theory. An important entity built of three coupled multiple futile cycles is…

Singular perturbationBistabilityFutile cycleMolecular Networks (q-bio.MN)Quantitative Biology::Molecular NetworksApplied MathematicsGeneral EngineeringOdeDynamical Systems (math.DS)General MedicineDual (category theory)Computational MathematicsBifurcation theoryMathematics - Classical Analysis and ODEsFOS: Biological sciencesOrdinary differential equationClassical Analysis and ODEs (math.CA)FOS: MathematicsApplied mathematicsQuantitative Biology - Molecular NetworksMathematics - Dynamical SystemsSpecial caseGeneral Economics Econometrics and FinanceAnalysisMathematicsNonlinear Analysis: Real World Applications
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New solvability conditions for the Neumann problem for ordinary singular differential equations

2000

Singular solutionGeneral MathematicsOrdinary differential equationMathematical analysisNeumann boundary conditionExact differential equationDifferential algebraic equationAnalysisMathematicsSeparable partial differential equationNeumann seriesIntegrating factorDifferential Equations
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Zur numerischen Lösung gewöhnlicher Differential-gleichungen mit Splines in einem Sonderfall

1980

In an earlier paper [1] a general procedure has been presented to obtain polynomial spline approximations for the solution of the initial value problem for ordinary differential equations. In this paper the general procedure is described by an equivalent one step method. Furthermore two convergence theorems are proved for a special case which is not included in the general convergence or divergence theory given in [1].

Spline (mathematics)General MathematicsOrdinary differential equationMathematical analysisGeneral EngineeringInitial value problemSpecial caseMathematicsMathematical Methods in the Applied Sciences
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Wardowski conditions to the coincidence problem

2015

In this article we first discuss the existence and uniqueness of a solution for the coincidence problem: Find p ∈ X such that Tp = Sp, where X is a nonempty set, Y is a complete metric space, and T, S:X → Y are two mappings satisfying a Wardowski type condition of contractivity. Later on, we will state the convergence of the Picard-Juncgk iteration process to the above coincidence problem as well as a rate of convergence for this iteration scheme. Finally, we shall apply our results to study the existence and uniqueness of a solution as well as the convergence of the Picard-Juncgk iteration process toward the solution of a second order differential equation. Ministerio de Economía y Competi…

Statistics and ProbabilityIterative methodsIterative methodCoincidence pointsComplete metric space54H25common fixed pointsConvergence (routing)Applied mathematicsUniquenessMathematicsApplied Mathematics and Statistics47J25lcsh:T57-57.97Applied MathematicsMathematical analysisOrder (ring theory)State (functional analysis)Rate of convergencecoincidence pointsRate of convergenceordinary differential equationsOrdinary differential equationlcsh:Applied mathematics. Quantitative methodsCommon fixed pointsiterative methodslcsh:Probabilities. Mathematical statisticslcsh:QA273-280rate of convergenceFrontiers in Applied Mathematics and Statistics
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Dynamics of the Selkov oscillator.

2018

A classical example of a mathematical model for oscillations in a biological system is the Selkov oscillator, which is a simple description of glycolysis. It is a system of two ordinary differential equations which, when expressed in dimensionless variables, depends on two parameters. Surprisingly it appears that no complete rigorous analysis of the dynamics of this model has ever been given. In this paper several properties of the dynamics of solutions of the model are established. With a view to studying unbounded solutions a thorough analysis of the Poincar\'e compactification of the system is given. It is proved that for any values of the parameters there are solutions which tend to inf…

Statistics and ProbabilityPeriodicityQuantitative Biology - Subcellular ProcessesClassical exampleFOS: Physical sciencesDynamical Systems (math.DS)01 natural sciencesModels BiologicalGeneral Biochemistry Genetics and Molecular Biology010305 fluids & plasmassymbols.namesake0103 physical sciencesFOS: MathematicsPhysics - Biological PhysicsMathematics - Dynamical Systems0101 mathematicsSubcellular Processes (q-bio.SC)MathematicsGeneral Immunology and MicrobiologyCompactification (physics)Applied Mathematics010102 general mathematicsMathematical analysisGeneral MedicineMathematical ConceptsKineticsMonotone polygonBiological Physics (physics.bio-ph)FOS: Biological sciencesModeling and SimulationBounded functionOrdinary differential equationPoincaré conjecturesymbolsGeneral Agricultural and Biological SciencesGlycolysisDimensionless quantityMathematical biosciences
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A Bayesian SIRS model for the analysis of respiratory syncytial virus in the region of Valencia, Spain

2014

We present a Bayesian stochastic susceptible-infected-recovered-susceptible (SIRS) model in discrete time to understand respiratory syncytial virus dynamics in the region of Valencia, Spain. A SIRS model based on ordinary differential equations has also been proposed to describe RSV dynamics in the region of Valencia. However, this continuous-time deterministic model is not suitable when the initial number of infected individuals is small. Stochastic epidemic models based on a probability of disease transmission provide a more natural description of the spread of infectious diseases. In addition, by allowing the transmission rate to vary stochastically over time, the proposed model provides…

Statistics and ProbabilityTransmission rateBayesian probabilityPosterior probabilityPrediction intervalGeneral MedicineDiscrete time and continuous timePosterior predictive distributionOrdinary differential equationQuantitative Biology::Populations and EvolutionApplied mathematicsStatistics Probability and UncertaintyDisease transmissionMathematicsBiometrical Journal
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Riemann-Type Definition of the Improper Integrals

2004

Riemann-type definitions of the Riemann improper integral and of the Lebesgue improper integral are obtained from McShane's definition of the Lebesgue integral by imposing a Kurzweil-Henstock's condition on McShane's partitions.

Statistics::TheoryMathematics::Functional AnalysisMathematics::Dynamical SystemsStatistics::ApplicationsGeneral MathematicsMathematical analysisMathematics::Classical Analysis and ODEsRiemann integralType (model theory)Lebesgue integrationMcShane's partitionRiemann hypothesissymbols.namesakeKurzweil-Henstock's partitionOrdinary differential equationImproper integralsymbolsMathematicsCzechoslovak Mathematical Journal
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Modeling of Sensory Characteristics Based on the Growth of Food Spoilage Bacteria

2016

During last years theoretical works shed new light and proposed new hypothesis on the mechanisms which regulate the time behaviour of biological populations in different natural systems. Despite of this, the role of environmental variables in ecological systems is still an open question. Filling this gap of knowledge is a crucial task for a deeper comprehension of the dynamics of biological populations in real ecosystems. In this work we study how the dynamics of food spoilage bacteria influences the sensory characteristics of fresh fish specimens. This topic is crucial for a better understanding of the role played by the bacterial growth on the organoleptic properties, and for the quality …

Stochastic ordinary differential equationmedia_common.quotation_subjectFood spoilageOrganolepticFOS: Physical sciencesSensory systemContext (language use)BiologyPopulation dynamic01 natural sciencesSensory analysisPopulation dynamics; Predictive microbiology; Stochastic ordinary differential equations; Modeling and Simulation010305 fluids & plasmas0103 physical sciencesStatisticsQuality (business)010306 general physicsQuantitative Biology - Populations and EvolutionCondensed Matter - Statistical Mechanicsmedia_commonPredictive microbiologyStatistical Mechanics (cond-mat.stat-mech)EcologyApplied MathematicsPopulations and Evolution (q-bio.PE)Experimental dataSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)Modeling and SimulationFOS: Biological sciencesPredictive microbiology
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Hydrodynamics and Stochastic Differential Equation with Sobolev Coefficients

2013

In this chapter, we will explain how the Brenier’s relaxed variational principle for Euler equation makes involved the ordinary differential equations with Sobolev coefficients and how the investigation on stochastic differential equations (SDE) with Sobolev coefficients is useful to establish variational principles for Navier–Stokes equations. We will survey recent results on this topic.

Stochastic partial differential equationSobolev spacesymbols.namesakeStochastic differential equationDifferential equationOrdinary differential equationMathematics::Analysis of PDEssymbolsCharacteristic equationFirst-order partial differential equationApplied mathematicsMathematicsEuler equations
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Combined dynamic response of primary and multiply connected cascaded secondary subsystems

1991

A method is proposed for the deterministic and stochastic non-stationary analysis of linear composite systems with cascaded secondary subsystems subjected to a seismic input. This method makes it possible to evaluate, by means of a unitary formulation, the deterministic and non-stationary stochastic response of both classically and non-classically damped subsystems and of secondary subsystems multiply supported on the primary one, as well as the ground. The proposed procedure is very efficient from a computational point of view, because of the Kronecker algebra systematically employed. Indeed, by using this algebra, it is possible to obtain in a very compact and elegant form the eigenproper…

Stochastic processFunction (mathematics)Geotechnical Engineering and Engineering GeologyTopologyUnitary stateSecond order momentssymbols.namesakeSimple (abstract algebra)Ordinary differential equationKronecker deltaEarth and Planetary Sciences (miscellaneous)symbolsPoint (geometry)AlgorithmMathematicsEarthquake Engineering & Structural Dynamics
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