Search results for "ta111"

showing 10 items of 251 documents

Asymptotic behaviors of solutions to quasilinear elliptic equations with Hardy potential

2016

Optimal estimates on asymptotic behaviors of weak solutions both at the origin and at the infinity are obtained to the following quasilinear elliptic equations

Comparison principleApplied Mathematicsmedia_common.quotation_subjectta111010102 general mathematicsMathematical analysisMathematics::Analysis of PDEsHardy's inequalityInfinity01 natural sciences010101 applied mathematicsQuasilinear elliptic equations0101 mathematicsAsymptotic behaviorsHardy's inequalityAnalysisMathematicsmedia_commonJournal of Mathematical Analysis and Applications
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Local regularity for time-dependent tug-of-war games with varying probabilities

2016

We study local regularity properties of value functions of time-dependent tug-of-war games. For games with constant probabilities we get local Lipschitz continuity. For more general games with probabilities depending on space and time we obtain H\"older and Harnack estimates. The games have a connection to the normalized $p(x,t)$-parabolic equation $(n+p(x,t))u_t=\Delta u+(p(x,t)-2) \Delta_{\infty}^N u$.

Computer Science::Computer Science and Game TheoryPure mathematicsparabolic p(xTug of warMathematics::Analysis of PDEsHölder condition01 natural sciencesMathematics - Analysis of PDEsFOS: Mathematicsstochastic gamestug-of-war0101 mathematicsConnection (algebraic framework)Harnack's inequalityMathematicsHarnack inequalitySpacetimeHölder continuityApplied Mathematicsta111010102 general mathematicsLipschitz continuity010101 applied mathematicst)-LaplacianConstant (mathematics)AnalysisAnalysis of PDEs (math.AP)Journal of Differential Equations
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On Contextuality in Behavioral Data

2015

Dzhafarov, Zhang, and Kujala (Phil. Trans. Roy. Soc. A 374, 20150099) reviewed several behavioral data sets imitating the formal design of the quantum-mechanical contextuality experiments. The conclusion was that none of these data sets exhibited contextuality if understood in the generalized sense proposed in Dzhafarov, Kujala, and Larsson (Found. Phys. 7, 762-782, 2015), while the traditional definition of contextuality does not apply to these data because they violate the condition of consistent connectedness (also known as marginal selectivity, no-signaling condition, no-disturbance principle, etc.). In this paper we clarify the relationship between (in)consistent connectedness and (non…

Computer scienceGeneral MathematicsFOS: Physical sciencesGeneral Physics and Astronomy01 natural sciences050105 experimental psychology0103 physical sciences0501 psychology and cognitive sciencescontextuality010306 general physicsta515Cognitive scienceQuantum Physics05 social sciencesta111General Engineeringcyclic systemsArticlesKochen–Specker theorem81P13 81Q99 60A99 81P13 81Q99 60A99 81P13 81Q99 60A99Formal designFOS: Biological sciencesQuantitative Biology - Neurons and Cognitionconsistent connectednessNeurons and Cognition (q-bio.NC)Quantum Physics (quant-ph)
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Hidden attractors on one path : Glukhovsky-Dolzhansky, Lorenz, and Rabinovich systems

2017

In this report, by the numerical continuation method we visualize and connect hidden chaotic sets in the Glukhovsky-Dolzhansky, Lorenz and Rabinovich systems using a certain path in the parameter space of a Lorenz-like system.

Computer sciencechaosChaoticFOS: Physical sciencesPhysics::Data Analysis; Statistics and ProbabilityParameter space01 natural sciences010305 fluids & plasmasRabinovich systemLorenz system0103 physical sciencesAttractorGlukhovsky–Dolzhansky systemApplied mathematics010301 acousticsEngineering (miscellaneous)kaaosteoriaApplied Mathematicsta111Lorenz-like systemNonlinear Sciences - Chaotic DynamicsNonlinear Sciences::Chaotic DynamicsNumerical continuationModeling and SimulationPath (graph theory)numeerinen analyysiChaotic Dynamics (nlin.CD)hidden attractorInternational Journal of Bifurcation and Chaos
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A short survey on nonlinear models of the classic Costas loop: rigorous derivation and limitations of the classic analysis

2015

Rigorous nonlinear analysis of the physical model of Costas loop --- a classic phase-locked loop (PLL) based circuit for carrier recovery, is a challenging task. Thus for its analysis, simplified mathematical models and numerical simulation are widely used. In this work a short survey on nonlinear models of the BPSK Costas loop, used for pre-design and post-design analysis, is presented. Their rigorous derivation and limitations of classic analysis are discussed. It is shown that the use of simplified mathematical models, and the application of non rigorous methods of analysis (e.g., simulation and linearization) may lead to wrong conclusions concerning the performance of the Costas loop ph…

Computer simulationMathematical modelta213Computer scienceta111Phase locked loopsDynamical Systems (math.DS)SurveysSynchronizationLoop (topology)Phase-locked loopNonlinear systemLinearizationCostas loopFOS: MathematicsNonlinear systemsApplied mathematicsCarrier recoveryMathematics - Dynamical Systems
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Convergence of Markovian Stochastic Approximation with discontinuous dynamics

2016

This paper is devoted to the convergence analysis of stochastic approximation algorithms of the form $\theta_{n+1} = \theta_n + \gamma_{n+1} H_{\theta_n}({X_{n+1}})$, where ${\left\{ {\theta}_n, n \in {\mathbb{N}} \right\}}$ is an ${\mathbb{R}}^d$-valued sequence, ${\left\{ {\gamma}_n, n \in {\mathbb{N}} \right\}}$ is a deterministic stepsize sequence, and ${\left\{ {X}_n, n \in {\mathbb{N}} \right\}}$ is a controlled Markov chain. We study the convergence under weak assumptions on smoothness-in-$\theta$ of the function $\theta \mapsto H_{\theta}({x})$. It is usually assumed that this function is continuous for any $x$; in this work, we relax this condition. Our results are illustrated by c…

Control and OptimizationStochastic approximationMarkov processMathematics - Statistics Theorydiscontinuous dynamicsStatistics Theory (math.ST)Stochastic approximation01 natural sciencesCombinatorics010104 statistics & probabilitysymbols.namesake[MATH.MATH-ST]Mathematics [math]/Statistics [math.ST]Convergence (routing)FOS: Mathematics0101 mathematics62L20state-dependent noiseComputingMilieux_MISCELLANEOUSMathematicsta112SequenceconvergenceApplied Mathematicsta111010102 general mathematicsFunction (mathematics)[STAT.TH]Statistics [stat]/Statistics Theory [stat.TH]16. Peace & justice[INFO.INFO-MO]Computer Science [cs]/Modeling and Simulationcontrolled Markov chainMarkovian stochastic approximationsymbolsStochastic approximat
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Looking More Closely at the Rabinovich-Fabrikant System

2016

Recently, we looked more closely into the Rabinovich–Fabrikant system, after a decade of study [Danca & Chen, 2004], discovering some new characteristics such as cycling chaos, transient chaos, chaotic hidden attractors and a new kind of saddle-like attractor. In addition to extensive and accurate numerical analysis, on the assumptive existence of heteroclinic orbits, we provide a few of their approximations.

Control of chaosheteroclinic orbitLIL numerical methodApplied Mathematicsta111Chaotictransient chaos01 natural sciencesRabinovich-Fabrikant system010305 fluids & plasmasNonlinear Sciences::Chaotic DynamicsClassical mechanicsModeling and Simulation0103 physical sciencesAttractorHeteroclinic orbitStatistical physicscycling chaos010301 acousticsEngineering (miscellaneous)MathematicsInternational Journal of Bifurcation and Chaos
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Monotonicity and enclosure methods for the p-Laplace equation

2018

We show that the convex hull of a monotone perturbation of a homogeneous background conductivity in the $p$-conductivity equation is determined by knowledge of the nonlinear Dirichlet-Neumann operator. We give two independent proofs, one of which is based on the monotonicity method and the other on the enclosure method. Our results are constructive and require no jump or smoothness properties on the conductivity perturbation or its support.

Convex hull35R30 (Primary) 35J92 (Secondary)EnclosurePerturbation (astronomy)Monotonic function01 natural sciencesConstructiveMathematics - Analysis of PDEsEnclosure methodFOS: Mathematics0101 mathematicsMathematicsInclusion detectionMonotonicity methodLaplace's equationmonotonicity methodApplied Mathematics010102 general mathematicsMathematical analysista111inclusion detection010101 applied mathematicsNonlinear systemMonotone polygonp-Laplace equationAnalysis of PDEs (math.AP)enclosure method
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A note on correlation and local dimensions

2015

Abstract Under very mild assumptions, we give formulas for the correlation and local dimensions of measures on the limit set of a Moran construction by means of the data used to construct the set.

Correlation dimensionPure mathematicslocal dimensionfinite clustering propertyGeneral MathematicsApplied Mathematics010102 general mathematicsta111General Physics and AstronomyStatistical and Nonlinear Physics01 natural sciencescorrelation dimension010305 fluids & plasmasSet (abstract data type)CombinatoricsCorrelationmoran constructionMathematics - Classical Analysis and ODEs0103 physical sciencesClassical Analysis and ODEs (math.CA)FOS: Mathematics0101 mathematicsLimit setConstruct (philosophy)Mathematics
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Nonlinear dynamical model of Costas loop and an approach to the analysis of its stability in the large

2015

The analysis of the stability and numerical simulation of Costas loop circuits for high-frequency signals is a challenging task. The problem lies in the fact that it is necessary to simultaneously observe very fast time scale of the input signals and slow time scale of phase difference between the input signals. To overcome this difficult situation it is possible, following the approach presented in the classical works of Gardner and Viterbi, to construct a mathematical model of Costas loop, in which only slow time change of signal?s phases and frequencies is considered. Such a construction, in turn, requires the computation of phase detector characteristic, depending on the waveforms of th…

Costas loopta213phase detector characteristicstability in the largeta111phase comparatorsimulationPhase detectorphase-locked loop (PLL)Loop (topology)Phase-locked loopNonlinear systemControl and Systems EngineeringControl theoryCostas loopPhase spaceSignal Processingnonlinear analysisPhase detector characteristicComputer Vision and Pattern RecognitionLinear approximationElectrical and Electronic EngineeringSoftwareBPSKMathematicsSignal Processing
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