Search results for "Differential equations"

showing 10 items of 169 documents

On Discovering Low Order Models in Biochemical Reaction Kinetics

2007

We develop a method by which a large number of differential equations representing biochemical reaction kinetics may be represented by a smaller number of differential equations. The basis of our technique is a conjecture that the high dimension equations of biochemical kinetics, which involve reaction terms of specific forms, are actually implementing a low dimension system whose behavior requires right hand sides that can not be biochemically implemented. For systems that satisfy this conjecture, we develop a simple approximation scheme based on multilinear algebra that extracts the low dimensional system from simulations of the high dimension system. We demonstrate this technique on a st…

Multilinear algebraNonlinear systemBasis (linear algebra)Dimension (vector space)Settore ING-INF/04 - AutomaticaSimple (abstract algebra)Differential equationMathematical analysisChaoticApplied mathematicsDimensional modelingKinetic theory Nonlinear equations Polynomials Differential equationsMathematics
researchProduct

Multiscale Particle Method in Solving Partial Differential Equations

2007

A novel approach to meshfree particle methods based on multiresolution analysis is presented. The aim is to obtain numerical solutions for partial differential equations by avoiding the mesh generation and by employing a set of particles arbitrarily placed in problem domain. The elimination of the mesh combined with the properties of dilation and translation of scaling and wavelets functions is particularly suitable for problems governed by hyperbolic partial differential equations with large deformations and high gradients.

Multiresolution analysiMethod of linesMathematical analysisFirst-order partial differential equationExponential integratorSPH methodStochastic partial differential equationSettore ING-IND/31 - ElettrotecnicaSettore MAT/08 - Analisi NumericaMultigrid methodMethod of characteristicsMeshfree particle methodHyperbolic partial differential equationNumerical partial differential equationsMathematicsAIP Conference Proceedings
researchProduct

An approximate technique for determining in closed-form the response transition probability density function of diverse nonlinear/hysteretic oscillat…

2019

An approximate analytical technique is developed for determining, in closed form, the transition probability density function (PDF) of a general class of first-order stochastic differential equations (SDEs) with nonlinearities both in the drift and in the diffusion coefficients. Specifically, first, resorting to the Wiener path integral most probable path approximation and utilizing the Cauchy–Schwarz inequality yields a closed-form expression for the system response PDF, at practically zero computational cost. Next, the accuracy of this approximation is enhanced by proposing a more general PDF form with additional parameters to be determined. This is done by relying on the associated Fokke…

Nonlinear stochastic dynamics Path integral Cauchy–Schwarz inequalityFokker–Planck equationStochastic differential equationsSettore ICAR/08 - Scienza Delle Costruzioni
researchProduct

Oscillation of second-order nonlinear differential equations with damping

2014

Abstract We study oscillatory properties of solutions to a class of nonlinear second-order differential equations with a nonlinear damping. New oscillation criteria extend those reported in [ROGOVCHENKO, Yu. V.—TUNCAY, F.: Oscillation criteria for second-order nonlinear differential equations with damping, Nonlinear Anal. 69 (2008), 208–221] and improve a number of related results.

Nonlinear systemOscillationDifferential equationControl theoryGeneral MathematicsMathematical analysisOrder (ring theory)Algebra over a fieldNonlinear differential equationsMathematicsMathematica Slovaca
researchProduct

Self-similarity and response of fractional differential equations under white noise input

2022

Self-similarity, fractal behaviour and long-range dependence are observed in various branches of physical, biological, geological, socioeconomics and mechanical systems. Self-similarity, also termed self-affinity, is a concept that links the properties of a phenomenon at a certain scale with the same properties at different time scales as it happens in fractal geometry. The fractional Brownian motion (fBm), i.e. the Riemann-Liouville fractional integral of the Gaussian white noise, is self-similar; in fact by changing the temporal scale t -> at (a > 0), the statistics in the new time axis (at) remain proportional to those calculated in the previous axis (t). The proportionality coeffi…

Nuclear Energy and EngineeringMechanical EngineeringAerospace EngineeringOcean EngineeringStatistical and Nonlinear PhysicsSelf-similarity Fractional differential equations Stochastic dynamics Correlation functionCondensed Matter PhysicsSettore ICAR/08 - Scienza Delle CostruzioniCivil and Structural Engineering
researchProduct

Explicit solutions for second-order operator differential equations with two boundary-value conditions. II

1992

AbstractBoundary-value problems for second-order operator differential equations with two boundary-value conditions are studied for the case where the companion operator is similar to a block-diagonal operator. This case is strictly more general than the one treated in an earlier paper, and it provides explicit closed-form solutions of boundary-value problem in terms of data without increasing the dimension of the problem.

Numerical AnalysisAlgebra and Number TheoryMathematical analysisSemi-elliptic operatorp-LaplacianOrder operatorDiscrete Mathematics and CombinatoricsBoundary value problemGeometry and TopologyC0-semigroupDifferential algebraic geometryTrace operatorNumerical partial differential equationsMathematicsLinear Algebra and its Applications
researchProduct

Stochastic 0-dimensional Biogeochemical Flux Model: Effect of temperature fluctuations on the dynamics of the biogeochemical properties in a marine e…

2021

Abstract We present a new stochastic model, based on a 0-dimensional version of the well known biogeochemical flux model (BFM), which allows to take into account the temperature random fluctuations present in natural systems and therefore to describe more realistically the dynamics of real marine ecosystems. The study presents a detailed analysis of the effects of randomly varying temperature on the lower trophic levels of the food web and ocean biogeochemical processes. More in detail, the temperature is described as a stochastic process driven by an additive self-correlated Gaussian noise. Varying both correlation time and intensity of the noise source, the predominance of different plank…

Numerical AnalysisBiogeochemical cycleStatistical Mechanics (cond-mat.stat-mech)Stochastic modellingStochastic processApplied MathematicsRandom processesFluxFOS: Physical sciencesPlanktonAtmospheric sciencesNoise (electronics)symbols.namesakeGaussian noiseModeling and SimulationPlankton dynamicsStochastic differential equationssymbolsEnvironmental scienceQuantitative Biology::Populations and EvolutionMarine ecosystemCondensed Matter - Statistical MechanicsMarine ecosystems
researchProduct

Constructing adaptive generalized polynomial chaos method to measure the uncertainty in continuous models: A computational approach

2015

Due to errors in measurements and inherent variability in the quantities of interest, models based on random differential equations give more realistic results than their deterministic counterpart. The generalized polynomial chaos (gPC) is a powerful technique used to approximate the solution of these equations when the random inputs follow standard probability distributions. But in many cases these random inputs do not have a standard probability distribution. In this paper, we present a step-by-step constructive methodology to implement directly a useful version of adaptive gPC for arbitrary distributions, extending the applicability of the gPC. The paper mainly focuses on the computation…

Numerical AnalysisMathematical optimizationPolynomial chaosGeneral Computer ScienceDifferential equationApplied MathematicsComputingConstructiveMeasure (mathematics)Theoretical Computer ScienceCHAOS (operating system)Generalized polynomialRandom differential equationsModeling and SimulationConvergence (routing)Applied mathematicsProbability distributionMATEMATICA APLICADAAdaptive polynomial chaosMathematics
researchProduct

Fractional differential equations solved by using Mellin transform

2014

In this paper, the solution of the multi-order differential equations, by using Mellin Transform, is proposed. It is shown that the problem related to the shift of the real part of the argument of the transformed function, arising when the Mellin integral operates on the fractional derivatives, may be overcame. Then, the solution may be found for any fractional differential equation involving multi-order fractional derivatives (or integrals). The solution is found in the Mellin domain, by solving a linear set of algebraic equations, whose inverse transform gives the solution of the fractional differential equation at hands.

Numerical AnalysisMellin transformApplied MathematicsMathematical analysisRamanujan's master theoremIntegral equationFractional differential equationFractional calculusWiener–Hopf methodsymbols.namesakeMathematics - Analysis of PDEsSelf-similarity of inverse Mellin transform.Modeling and SimulationLaplace transform applied to differential equationssymbolsMellin inversion theoremFOS: MathematicsTwo-sided Laplace transformMellin transformMathematicsAnalysis of PDEs (math.AP)
researchProduct

Mellin transform approach for the solution of coupled systems of fractional differential equations

2015

In this paper, the solution of a multi-order, multi-degree-of-freedom fractional differential equation is addressed by using the Mellin integral transform. By taking advantage of a technique that relates the transformed function, in points of the complex plane differing in the value of their real part, the solution is found in the Mellin domain by solving a linear set of algebraic equations. The approximate solution of the differential (or integral) equation is restored, in the time domain, by using the inverse Mellin transform in its discretized form.

Numerical AnalysisMellin transformLaplace transformApplied MathematicsMathematical analysisMulti degree of freedom systemsRamanujan's master theoremIntegral equationFractional differential equationWiener–Hopf methodsymbols.namesakeModeling and SimulationLaplace transform applied to differential equationsComputingMethodologies_SYMBOLICANDALGEBRAICMANIPULATIONsymbolsMellin inversion theoremTwo-sided Laplace transformMellin transformMathematicsCommunications in Nonlinear Science and Numerical Simulation
researchProduct