Search results for "Differential equation"

showing 10 items of 759 documents

Derivation of a Homogenized Two-Temperature Model from the Heat Equation

2014

This work studies the heat equation in a two-phase material with spherical inclusions. Under some appropriate scaling on the size, volume fraction and heat capacity of the inclusions, we derive a coupled system of partial differential equations governing the evolution of the temperature of each phase at a macroscopic level of description. The coupling terms describing the exchange of heat between the phases are obtained by using homogenization techniques originating from [D. Cioranescu, F. Murat: Coll\`ege de France Seminar vol. 2. (Paris 1979-1980) Res. Notes in Math. vol. 60, pp. 98-138. Pitman, Boston, London, 1982.]

01 natural sciencesHomogenization (chemistry)Heat capacity010305 fluids & plasmasTwo temperatureMathematics - Analysis of PDEsThermal nonequilibrium models0103 physical sciencesFOS: Mathematics[MATH.MATH-AP]Mathematics [math]/Analysis of PDEs [math.AP]0101 mathematicsScalingMSC 35K05 35B2776T05 (35Q79 76M50)35K05 35B27 76T05 (35Q79 76M50)MathematicsNumerical AnalysisHomogenizationPartial differential equationInfinite diffusion limitApplied MathematicsHeat equationMathematical analysis010101 applied mathematicsComputational MathematicsThermal non-equilibrium modelsModeling and SimulationVolume fractionHeat equationAnalysisAnalysis of PDEs (math.AP)
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On asymptotic behavior of solutions to higher-order sublinear Emden–Fowler delay differential equations

2017

Abstract We study asymptotic behavior of solutions to a class of higher-order sublinear Emden–Fowler delay differential equations. Our theorems improve several results reported recently in the literature. Two examples are provided to illustrate the importance and advantages of new criteria.

010101 applied mathematicsClass (set theory)Sublinear functionApplied Mathematics010102 general mathematicsMathematical analysisMathematics::Analysis of PDEsOrder (group theory)Delay differential equation0101 mathematics01 natural sciencesMathematicsApplied Mathematics Letters
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Elliptic equations and maps of bounded length distortion

1988

On considere l'equation elliptique d'ordre 2: L(u)=Σ i,f=1 n ∂ 1 (a ij ∂ ju )=0 ou les coefficients a ij sont des fonctions C 1 dans un domaine D de R n

010101 applied mathematicsDistortion (mathematics)Elliptic curvePartial differential equationGeneral MathematicsBounded function010102 general mathematicsSecond order equationMathematical analysis0101 mathematics01 natural sciencesMathematicsMathematische Annalen
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Multiple Solutions for Fractional Boundary Value Problems

2018

Variational methods and critical point theorems are used to discuss existence and multiplicity of solutions for fractional boundary value problem where Riemann–Liouville fractional derivatives and Caputo fractional derivatives are used. Some conditions to determinate nonnegative solutions are presented. An example is given to illustrate our results.

010102 general mathematicsMathematical analysisMultiple solutionVariational methodMultiplicity (mathematics)01 natural sciencesCritical point (mathematics)Fractional differential equationFractional calculus010101 applied mathematicsMathematics (all)Pharmacology (medical)Boundary value problem0101 mathematicsCritical point theoremMathematics
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On the solution of a parabolic PDE involving a gas flow through a semi-infinite porous medium

2021

Abstract Taking as start point the parabolic partial differential equation with the respective initial and boundary conditions, the present research focuses onto the flow of a sample of waste-water derived from a standard/conventional dyeing process. In terms of a highly prioritized concern, meaning environment decontamination and protection, in order to remove the dyes from the waste waters, photocatalyses like ZnO or TiO2 nanoparticles were formulated, due to their high surface energy which makes them extremely reactive and attractive. According to the basics of ideal fluid, the key point is the gas flow through an ideal porous pipe consisting of nanoparticles bound one to each other, for…

010302 applied physicsPartial differential equationDifferential equationNumerical analysisGeneral Physics and Astronomy02 engineering and technologyMechanicsWastewater decontamination021001 nanoscience & nanotechnology01 natural sciencesParabolic partial differential equationlcsh:QC1-999Parabolic equation and systemsBoundary value problemsDifferential equationFlow (mathematics)0103 physical sciencesNanoporous ZnO particlesBoundary value problem0210 nano-technologyPorosityPorous mediumlcsh:PhysicsNumerical analysisResults in Physics
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THE GYROTRON STARTUP SCENARIO IN THE SINGLE MODE TIME DEPENDENT APPROACH

2019

The paper explains how to solve the Gyrotron equation system in the Single Mode Time Dependent Approach. In particular, we point out problems encountered when solving these well-known equations. The starting current estimation approach a using time model is suggested. The solution has been implemented in the Matlab code, which is attached to the article.

010302 applied physicsPhysicstime dependent approachgyrotronNuclear engineeringSingle-mode optical fiberMatlab code01 natural sciences010305 fluids & plasmaslaw.inventiondifferential equationlawModeling and SimulationGyrotron0103 physical sciencesQA1-939MathematicsAnalysisMathematical Modelling and Analysis
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Stochastic models for phytoplankton dynamics in Mediterranean Sea

2016

Abstract In this paper, we review some results obtained from three one-dimensional stochastic models, which were used to analyze picophytoplankton dynamics in two sites of the Mediterranean Sea. Firstly, we present a stochastic advection–reaction–diffusion model to describe the vertical spatial distribution of picoeukaryotes in a site of the Sicily Channel. The second model, which is an extended version of the first one, is used to obtain the vertical stationary profiles of two groups of picophytoplankton, i.e. Pelagophytes and Prochlorococcus, in the same marine site as in the previous case. Here, we include intraspecific competition of picophytoplanktonic groups for limiting factors, i.e.…

0106 biological sciences010504 meteorology & atmospheric sciencesStochastic modellingRandom processeAtmospheric sciences01 natural sciencesDeep chlorophyll maximum; Marine ecosystems; Phytoplankton dynamics; Random processes; Spatial ecology; Stochastic differential equations; Ecology Evolution Behavior and Systematics; Ecological ModelingStochastic differential equationMediterranean seaMarine ecosystemSpatial ecology14. Life underwaterPhytoplankton dynamicEcology Evolution Behavior and Systematics0105 earth and related environmental sciencesDeep chlorophyll maximumStochastic differential equationbiologyStochastic processEcology010604 marine biology & hydrobiologyEcological Modelingbiology.organism_classificationEcology Evolution Behavior and SystematicSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)Light intensitySpatial ecologyDeep chlorophyll maximumProchlorococcusEcological Complexity
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Accounting for preferential sampling in species distribution models

2019

D. C., A. L. Q. and F. M. would like to thank the Ministerio de Educación y Ciencia (Spain) for financial support (jointly financed by the European Regional Development Fund) via Research Grants MTM2013‐42323‐P and MTM2016‐77501‐P, and ACOMP/2015/202 from Generalitat Valenciana (Spain). Species distribution models (SDMs) are now being widely used in ecology for management and conservation purposes across terrestrial, freshwater, and marine realms. The increasing interest in SDMs has drawn the attention of ecologists to spatial models and, in particular, to geostatistical models, which are used to associate observations of species occurrence or abundance with environmental covariates in a fi…

0106 biological sciencesComputer scienceQH301 BiologySpecies distributionPoint processesStochastic partial differential equation01 natural scienceshttp://aims.fao.org/aos/agrovoc/c_6774EspèceAbundance (ecology)StatisticsPesqueríasQAOriginal Researchhttp://aims.fao.org/aos/agrovoc/c_241990303 health sciencesEcologyU10 - Informatique mathématiques et statistiquesSampling (statistics)Integrated nested Laplace approximationstochastic partial differential equationVariable (computer science)symbolsÉchantillonnageSpecies Distribution Models (SDMs)Modèle mathématiqueBayesian probabilityNDASDistribution des populations010603 evolutionary biologyQH30103 medical and health sciencessymbols.namesakeCovariateQA MathematicsSDG 14 - Life Below WaterCentro Oceanográfico de Murciaspecies distribution modelsRelative species abundanceEcology Evolution Behavior and Systematicspoint processes030304 developmental biologyNature and Landscape Conservationhttp://aims.fao.org/aos/agrovoc/c_6113http://aims.fao.org/aos/agrovoc/c_7280Markov chain Monte Carlointegrated nested Laplace approximationU30 - Méthodes de rechercheBayesian modelling
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Sliding solutions of second-order differential equations with discontinuous right-hand side

2017

We consider second-order ordinary differential equations with discontinuous right-hand side. We analyze the concept of solution of this kind of equations and determine analytical conditions that are satisfied by typical solutions. Moreover, the existence and uniqueness of solutions and sliding solutions are studied. Copyright © 2017 John Wiley & Sons, Ltd.

0209 industrial biotechnologyDifferential equationGeneral MathematicsGeneral Engineering02 engineering and technology01 natural sciences010305 fluids & plasmasSecond order differential equations020901 industrial engineering & automationLinear differential equationOrdinary differential equation0103 physical sciencesCalculusApplied mathematicsUniquenessMathematicsMathematical Methods in the Applied Sciences
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Crowd-Averse Robust Mean-Field Games: Approximation via State Space Extension

2016

We consider a population of dynamic agents, also referred to as players. The state of each player evolves according to a linear stochastic differential equation driven by a Brownian motion and under the influence of a control and an adversarial disturbance. Every player minimizes a cost functional which involves quadratic terms on state and control plus a cross-coupling mean-field term measuring the congestion resulting from the collective behavior, which motivates the term “crowd-averse.” Motivations for this model are analyzed and discussed in three main contexts: a stock market application, a production engineering example, and a dynamic demand management problem in power systems. For th…

0209 industrial biotechnologyStochastic stabilityMathematical optimizationCollective behaviorTechnologyComputer sciencePopulationcontrol designcrowd-averse robust mean-field games state space extension dynamic agents linear stochastic differential equation Brownian motion adversarial disturbance cost functional cross-coupling mean-field term collective behavior stock market application production engineering example dynamic demand management problem robust mean-field game approximation error stochastic stability microscopic dynamics macroscopic dynamicscontrol engineering02 engineering and technology01 natural sciencesStochastic differential equationoptimal control020901 industrial engineering & automationQuadratic equationAutomation & Control SystemsEngineeringClosed loop systemsSettore ING-INF/04 - AutomaticaApproximation errorRobustness (computer science)Control theory0102 Applied MathematicsState space0101 mathematicsElectrical and Electronic EngineeringeducationBrownian motioneducation.field_of_studyScience & TechnologyStochastic process010102 general mathematicsRelaxation (iterative method)Engineering Electrical & ElectronicOptimal controlComputer Science Applications0906 Electrical and Electronic EngineeringIndustrial Engineering & AutomationMean field theoryControl and Systems EngineeringSettore MAT/09 - Ricerca Operativa0913 Mechanical Engineering
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