Search results for "lévy processes"

showing 6 items of 6 documents

Path-wise versus kinetic modeling for equilibrating non-Langevin jump-type processes

2014

We discuss two independent methods of solution of a master equation whose biased jump transition rates account for long jumps of L\'{e}vy-stable type and nonetheless admit a Boltzmannian (thermal) equilibrium to arise in the large time asymptotics of a probability density function $\rho (x,t)$. Our main goal is to demonstrate a compatibility of a {\it direct} solution method (an explicit, albeit numerically assisted, integration of the master equation) with an {\it indirect} path-wise procedure, recently proposed in [Physica {\bf A 392}, 3485, (2013)] as a valid tool for a dynamical analysis of non-Langevin jump-type processes. The path-wise method heavily relies on an accumulation of large…

Direct solution methodStatistical Mechanics (cond-mat.stat-mech)PhysicsQC1-999cauchy driverGeneral Physics and AstronomyFOS: Physical sciencesmaster equationProbability density functionlévy processesKinetic energynon-langevin modellinggillespie’s algorithmLévy processboltzmann equilibriumThermalMaster equationJumpStatistical analysisStatistical physicsCondensed Matter - Statistical Mechanicspath-wise modellingMathematics
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Josephson-based Threshold Detector for Lévy-Distributed Current Fluctuations

2019

We propose a threshold detector for Lévy-distributed fluctuations based on a Josephson junction. The Lévy-noise current added to a linearly ramped bias current results in clear changes in the distribution of switching currents out of the zero-voltage state of the junction. We observe that the analysis of the cumulative distribution function of the switching currents supplies information on both the characteristics' shape parameter α of the Lévy statistics. Moreover, we discuss a theoretical model, which allows characteristic features of the Lévy fluctuations to be extracted from a measured distribution of switching currents. In view of these results, this system can effectively find an appl…

Josephson effect---Current (mathematics)NOISE; FLIGHTS; FLUORESCENCE; LIFETIME; MODEL; STATE; FIELDGeneral Physics and Astronomy02 engineering and technologyLIFETIMEFault (power engineering)01 natural sciencesNoise (electronics)Settore FIS/03 - Fisica Della MateriaNOISE0103 physical sciencesStatistical physicsSuperconducting electronicsFLUORESCENCEFIELD010306 general physicsPhysicsResistive touchscreenDetectorFLIGHTSState (functional analysis)Josephson junctions Lévy processes non-thermal noise current fluctuations021001 nanoscience & nanotechnologySTATEMODEL0210 nano-technology
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Dynamic Phase Diagram of the REM

2019

International audience; By studying the two-time overlap correlation function, we give a comprehensive analysis of the phase diagram of the Random Hopping Dynamics of the Random Energy Model (REM) on time-scales that are exponential in the volume. These results are derived from the convergence properties of the clock process associated to the dynamics and fine properties of the simple random walk in the $n$-dimensional discrete cube.

Physicsrandom environmentsspin glassesRandom energy model010102 general mathematicsagingrandom dynamicsSimple random sample01 natural sciencesLévy processclock processExponential function[MATH.MATH-PR]Mathematics [math]/Probability [math.PR]010104 statistics & probabilityCorrelation functionLévy processesConvergence (routing)Statistical physics0101 mathematicsCube[MATH]Mathematics [math]Phase diagram
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A Comparison among Portfolio Selection Strategies with Subordinated Lévy Processes

2007

In this paper we describe portfolio selection models using Lévy processes. The contribution consists in comparing some portfolio selection strategies under different distributional assumptions. We first implement portfolio models under the hypothesis the log-returns follow a particular process with independent and stationary increments. Then we compare the ex-post final wealth of optimal portfolio selection models with subordinated Lévy processes when limited short sales and transaction costs are allowed.

Settore SECS-S/06 -Metodi Mat. dell'Economia e d. Scienze Attuariali e Finanz.Portfolio theory Lévy processes Variance-Gamma distribution Normal Inverse Gaussian distribution
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$L_2$-variation of L\'{e}vy driven BSDEs with non-smooth terminal conditions

2016

We consider the $L_2$-regularity of solutions to backward stochastic differential equations (BSDEs) with Lipschitz generators driven by a Brownian motion and a Poisson random measure associated with a L\'{e}vy process $(X_t)_{t\in[0,T]}$. The terminal condition may be a Borel function of finitely many increments of the L\'{e}vy process which is not necessarily Lipschitz but only satisfies a fractional smoothness condition. The results are obtained by investigating how the special structure appearing in the chaos expansion of the terminal condition is inherited by the solution to the BSDE.

Statistics and Probability$L_{2}$-regularityPure mathematicsSmoothness (probability theory)Malliavin calculus010102 general mathematicsChaos expansionPoisson random measureFunction (mathematics)Lipschitz continuityMalliavin calculus01 natural sciencesLévy process010104 statistics & probabilityStochastic differential equationMathematics::ProbabilityLévy processesbackward stochastic differential equations0101 mathematicsL 2 -regularityBrownian motionMathematics - ProbabilityMathematics
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CALIBRATION OF LÉVY PROCESSES USING OPTIMAL CONTROL OF KOLMOGOROV EQUATIONS WITH PERIODIC BOUNDARY CONDITIONS

2018

We present an optimal control approach to the problem of model calibration for L\'evy processes based on a non parametric estimation procedure. The calibration problem is of considerable interest in mathematical finance and beyond. Calibration of L\'evy processes is particularly challenging as the jump distribution is given by an arbitrary L\'evy measure, which form a infinite dimensional space. In this work, we follow an approach which is related to the maximum likelihood theory of sieves. The sampling of the L\'evy process is modelled as independent observations of the stochastic process at some terminal time $T$. We use a generic spline discretization of the L\'evy jump measure and selec…

non-parametric maximum likelihood methodOptimization problemDiscretizationL ́evy processesoptimal control of PIDE010103 numerical & computational mathematics01 natural sciences93E10 (primary) 49K20 60G51 62G05 (secondary)010104 statistics & probabilitysymbols.namesakeConjugate gradient methodIMEX numerical methodQA1-939Applied mathematics0101 mathematicsMathematics - Optimization and ControlMathematicsKolmogorov-Fokker-Planck equationoptimal control of PIDE Kolmogorov-Fokker-Planck equation L ́evy processes non-parametric maximum likelihood method IMEX numerical method.SolverOptimal controlSpline (mathematics)Lévy processesModeling and SimulationLagrange multipliersymbolsAkaike information criterionMathematicsAnalysisMathematical Modelling and Analysis
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