Search results for "Differential equations"

showing 10 items of 169 documents

Oscillation criteria for even-order neutral differential equations

2016

Abstract We study oscillatory behavior of solutions to a class of even-order neutral differential equations relating oscillation of higher-order equations to that of a pair of associated first-order delay differential equations. As illustrated with two examples in the final part of the paper, our criteria improve a number of related results reported in the literature.

Applied Mathematics010102 general mathematicsMathematical analysisDelay differential equation01 natural sciences010101 applied mathematicsExamples of differential equationsStochastic partial differential equationNonlinear systemDistributed parameter systemSimultaneous equationsCollocation method0101 mathematicsDifferential algebraic equationMathematics
researchProduct

On the existence and multiplicity of solutions for Dirichlet's problem for fractional differential equations

2016

In this paper, by using variational methods and critical point theorems, we prove the existence and multiplicity of solutions for boundary value problem for fractional order differential equations where Riemann-Liouville fractional derivatives and Caputo fractional derivatives are used. Our results extend the second order boundary value problem to the non integer case. Moreover, some conditions to determinate nonnegative solutions are presented and examples are given to illustrate our results.

Applied Mathematics010102 general mathematicsMathematical analysisMultiplicity (mathematics)01 natural sciencesDirichlet distribution010101 applied mathematicssymbols.namesakeSettore MAT/05 - Analisi MatematicasymbolsApplied mathematics0101 mathematicsFractional differentialAnalysisfractional differential equations critical points theorem variational methods multiple solutionsMathematics
researchProduct

Modelling the dynamics of the students’ academic performance in the German region of the North Rhine-Westphalia: an epidemiological approach with unc…

2013

Student academic underachievement is a concern of paramount importance in Europe, where around 15% of the students in the last high school courses do not achieve the minimum knowledge academic requirement. In this paper, we propose a model based on a system of differential equations to study the dynamics of the students academic performance in the German region of North Rhine-Westphalia. This approach is supported by the idea that both, good and bad study habits, are a mixture of personal decisions and influence of classmates. This model allows us to forecast the student academic performance by means of confidence intervals over the next few years.

Applied MathematicsForecasting in Social SciencesNon-linear System of Differential EquationsModellingConfidence intervallanguage.human_languageComputer Science ApplicationsGermanBootstrap Confidence Intervals.Computational Theory and MathematicsSystem of differential equationsDynamics (music)ComputingMilieux_COMPUTERSANDEDUCATIONMathematics educationlanguageStudent Academic PerformanceBootstrap confidence intervalMATEMATICA APLICADAMathematicsInternational Journal of Computer Mathematics
researchProduct

Qualitative Analysis of Differential, Difference Equations, and Dynamic Equations on Time Scales

2015

and Applied Analysis 3 thank Guest Editors Josef Dibĺik, Alexander Domoshnitsky, Yuriy V. Rogovchenko, Felix Sadyrbaev, and Qi-Ru Wang for their unfailing support with editorial work that ensured timely preparation of this special edition. Tongxing Li Josef Dibĺik Alexander Domoshnitsky Yuriy V. Rogovchenko Felix Sadyrbaev Qi-Ru Wang

Article SubjectDifferential equationlcsh:MathematicsApplied MathematicsFinite difference methodlcsh:QA1-939Stochastic partial differential equationNonlinear systemMultigrid methodKolmogorov equations (Markov jump process)Simultaneous equationsApplied mathematicsAnalysisNumerical partial differential equationsMathematicsAbstract and Applied Analysis
researchProduct

Minimally implicit Runge-Kutta methods for Resistive Relativistic MHD

2016

The Relativistic Resistive Magnetohydrodynamic (RRMHD) equations are a hyperbolic system of partial differential equations used to describe the dynamics of relativistic magnetized fluids with a finite conductivity. Close to the ideal magnetohydrodynamic regime, the source term proportional to the conductivity becomes potentially stiff and cannot be handled with standard explicit time integration methods. We propose a new class of methods to deal with the stiffness fo the system, which we name Minimally Implicit Runge-Kutta methods. These methods avoid the development of numerical instabilities without increasing the computational costs in comparison with explicit methods, need no iterative …

AstrofísicaHistoryResistive touchscreenPartial differential equation010308 nuclear & particles physicsExplicit and implicit methodsNumerical methods for ordinary differential equationsStiffnessMagnetohidrodinàmica01 natural sciencesComputer Science ApplicationsEducationRunge–Kutta methods0103 physical sciencesmedicineCalculusApplied mathematicsMagnetohydrodynamic driveMagnetohydrodynamicsmedicine.symptom010303 astronomy & astrophysicsMathematics
researchProduct

Quadratic backward stochastic differential equations

2017

Tässä tutkielmassa analysoimme takaperoisia stokastisia differentiaaliyhtälöitä. Aloitamme esittelemällä stokastiset prosessit, Brownin liikkeen, stokastiset integraalit ja Itôn kaavan. Tämän jälkeen siirrymme tarkastelemaan stokastisia differentiaaliyhtälöitä ja lopulta takaperoisia stokastisia differentiaaliyhtälöitä. Tämän tutkielman pääaiheena on takaperoiset stokastiset differentiaaliyhtälöt kvadraattisilla oletuksilla. Näillä oletuksilla todistamme olemassaoloteoreeman ja tietyt säännöllisyysehdot takaperoisen stokastisen differentiaaliyhtälön ratkaisulle. In this thesis, we analyze backward stochastic differential equations. We begin by introducing stochastic processes, Brownian moti…

Backward Stochastic Differential EquationsStochastics
researchProduct

Integration of a Dirac comb and the Bernoulli polynomials

2016

Abstract For any positive integer n , we consider the ordinary differential equations of the form y ( n ) = 1 − Ш + F where Ш denotes the Dirac comb distribution and F is a piecewise- C ∞ periodic function with null average integral. We prove the existence and uniqueness of periodic solutions of maximal regularity. Above all, these solutions are given by means of finite explicit formulae involving a minimal number of Bernoulli polynomials. We generalize this approach to a larger class of differential equations for which the computation of periodic solutions is also sharp, finite and effective.

Bernoulli differential equationDifferential equations[ MATH ] Mathematics [math]Differential equationGeneral MathematicsBernoulli polynomials010102 general mathematicsMathematical analysisDirac combPiecewise-smooth01 natural sciencesDirac comb010305 fluids & plasmasBernoulli polynomialsPeriodic functionsymbols.namesakeDistribution (mathematics)Ordinary differential equation0103 physical sciencessymbols[MATH]Mathematics [math]0101 mathematicsBernoulli processMathematicsMSC: 34A36 37B55 11B68 70G60
researchProduct

How diffusivity, thermocline and incident light intensity modulate the dynamics of Deep Chlorophyll Maximum in Tyrrhenian Sea

2015

During the last few years theoretical works have shed new light and proposed new hypotheses on the mechanisms which regulate the spatio-temporal behaviour of phytoplankton communities in marine pelagic ecosystems. Despite this, relevant physical and biological issues, such as effects of the time- dependent mixing in the upper layer, competition between groups, and dynamics of non-stationary deep chlorophyll maxima, are still open questions. In this work, we analyze the spatio-temporal behaviour of five phytoplankton populations in a real marine ecosystem by using a one-dimensional reaction-diffusion-taxis model. The study is performed, taking into account the seasonal variations of environm…

Chlorophyll0106 biological sciencesLight010504 meteorology & atmospheric sciencesMixed layerlcsh:MedicineOceanographyRandom processeAtmospheric sciences01 natural scienceschemistry.chemical_compoundPhytoplanktonMediterranean SeaMarine ecosystemSpatial ecologySeawaterMarine ecosystem14. Life underwaterPhytoplankton dynamiclcsh:Science0105 earth and related environmental sciencesDeep chlorophyll maximumMultidisciplinaryEcology010604 marine biology & hydrobiologylcsh:RTemperaturePelagic zoneModels TheoreticalSpatial ecology; Marine ecosystems; Phytoplankton dynamics; Deep chlorophyll maximum; Random processes; Stochastic differential equationsSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)Light intensitychemistry13. Climate actionChlorophyllPhytoplanktonStochastic differential equationsDeep chlorophyll maximumEnvironmental sciencelcsh:QThermoclineAlgorithmsResearch Article
researchProduct

Spatio-temporal dynamics of a planktonic system and chlorophyll distribution in a 2D spatial domain: matching model and data

2017

AbstractField data on chlorophyll distribution are investigated in a two-dimensional spatial domain of the Mediterranean Sea by using for phytoplankton abundances an advection-diffusion-reaction model, which includes real values for physical and biological variables. The study exploits indeed hydrological and nutrients data acquired in situ, and includes intraspecific competition for limiting factors, i.e. light intensity and phosphate concentration. As a result, the model allows to analyze how both the velocity field of marine currents and the two components of turbulent diffusivity affect the spatial distributions of phytoplankton abundances in the Modified Atlantic Water, the upper layer…

Chlorophyll0301 basic medicineChlorophyll aScienceSpatial ecology; Marine ecosystems; Phytoplankton dynamics; Partial differential equationsAtmospheric sciencesArticlePhosphates03 medical and health scienceschemistry.chemical_compoundSpatio-Temporal AnalysisMediterranean seaWater columnPhytoplanktonMediterranean SeaMarine ecosystemSpatial ecologySeawaterTransectPhytoplankton dynamicMultidisciplinaryEcologyChlorophyll AQTemperatureRModels TheoreticalPlanktonPartial differential equationsSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)Light intensity030104 developmental biologychemistryChlorophyllPhytoplanktonMedicineEnvironmental scienceSeasonsScientific Reports
researchProduct

Dynamics of Two Picophytoplankton Groups in Mediterranean Sea: Analysis of the Deep Chlorophyll Maximum by a Stochastic Advection-Reaction-Diffusion …

2013

A stochastic advection-reaction-diffusion model with terms of multiplicative white Gaussian noise, valid for weakly mixed waters, is studied to obtain the vertical stationary spatial distributions of two groups of picophytoplankton, i.e., picoeukaryotes and Prochlorococcus, which account about for 60% of total chlorophyll on average in Mediterranean Sea. By numerically solving the equations of the model, we analyze the one-dimensional spatio-temporal dynamics of the total picophytoplankton biomass and nutrient concentration along the water column at different depths. In particular, we integrate the equations over a time interval long enough, obtaining the steady spatial distributions for th…

ChlorophyllPopulation DynamicsPopulation ModelingRandom processeAtmospheric scienceschemistry.chemical_compoundTheoretical EcologyWater columnMediterranean seaDeep chlorophyll maximumCalculusMultidisciplinaryEcologybiologyEcologyApplied MathematicsPhysicsQStatisticsRComplex SystemsStochastic differential equationsInterdisciplinary PhysicsMedicineDeep chlorophyll maximumProchlorococcusResearch ArticleChlorophyll aScienceStatistical MechanicsDifferential EquationsPhytoplanktonMarine ecosystemMediterranean SeaSpatial ecologyStatistical MethodsPhytoplankton dynamicBiologyComputerized SimulationsStochastic ProcessesPopulation BiologyAdvectionComputational BiologyRandom VariablesModels TheoreticalSpatial ecology; Marine ecosystems; Phytoplankton dynamics; Deep chlorophyll maximum; Random processes; Stochastic differential equationsProbability Theorybiology.organism_classificationMarine EnvironmentsSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)Nonlinear DynamicschemistryChlorophyllComputer SciencePhytoplanktonEcosystem ModelingMathematicsEcological EnvironmentsPLoS ONE
researchProduct