Search results for " Simulation"

showing 10 items of 4034 documents

Time-dependent perturbation treatment of independent Raman schemes

2007

The problem of a trapped ion subjected to the action of two or more independent Raman schemes is analysed through a suitable time-dependent perturbative approach based on the factorization of the evolution operator in terms of other unitary operators. We show that the dynamics of the system may be traced back to an effective Hamiltonian up to a suitable dressing. Moreover, we give the method to write the master equation corresponding to the case wherein spontaneous decays occur.

Statistics and ProbabilityPhysicsSettore FIS/02 - Fisica Teorica Modelli E Metodi Matematicisuperposition (mathematics)modesGeneral Physics and AstronomyPerturbation (astronomy)Statistical and Nonlinear PhysicsUnitary stateSettore FIS/03 - Fisica Della MateriaIonsymbols.namesakeharmonic oscillatorOperator (computer programming)FactorizationModeling and SimulationQuantum mechanicsMaster equationsymbolsHamiltonian (quantum mechanics)Raman spectroscopyMathematical PhysicsJournal of Physics A: Mathematical and Theoretical
researchProduct

Contour calculus for many-particle functions

2019

In non-equilibrium many-body perturbation theory, Langreth rules are an efficient way to extract real-time equations from contour ones. However, the standard rules are not applicable in cases that do not reduce to simple convolutions and multiplications. We introduce a procedure for extracting real-time equations from general multi-argument contour functions with an arbitrary number of arguments. This is done for both the standard Keldysh contour, as well as the extended contour with a vertical track that allows for general initial states. This amounts to the generalization of the standard Langreth rules to much more general situations. These rules involve multi-argument retarded functions …

Statistics and ProbabilityPhysicsnon-equilibrium Green's functionsFOS: Physical sciencesGeneral Physics and AstronomyStatistical and Nonlinear PhysicsMathematical Physics (math-ph)medicine.disease01 natural sciencesKeldysh formalism010305 fluids & plasmasLangreth rulesModeling and Simulation0103 physical sciencesquantum many-body theorymedicineCalculusParticleKeldysh formalism010306 general physicskvanttifysiikkaMathematical PhysicsCalculus (medicine)
researchProduct

A nonstationary cylinder-based model describing group dispersal in a fragmented habitat

2014

International audience; A doubly nonstationary cylinder-based model is built to describe the dispersal of a population from a point source. In this model, each cylinder represents a fraction of the population, i.e., a group. Two contexts are considered: The dispersal can occur in a uniform habitat or in a fragmented habitat described by a conditional Boolean model. After the construction of the models, we investigate their properties: the first and second order moments, the probability that the population vanishes, and the distribution of the spatial extent of the population.

Statistics and ProbabilityPoint sourcePopulation92D25Spatial extentFragmentationStatisticsRandom cylinder92D30CylinderQuantitative Biology::Populations and EvolutionObject-based model[INFO]Computer Science [cs]Statistical physics60D05[MATH]Mathematics [math]educationMathematics60G60ta112education.field_of_studyBoolean modelApplied MathematicsFragmentation (computing)Boolean modelDispersal60K37HabitatModeling and Simulation60K9992D40Biological dispersalPopulation vanishing60G55Distribution (differential geometry)
researchProduct

Erratum to “Simulation of BSDEs with jumps by Wiener Chaos expansion” [Stochastic Process. Appl. 126 (2016) 2123–2162]

2017

Abstract We correct Proposition 2.9 from “Simulation of BSDEs with jumps by Wiener Chaos expansion” published in Stochastic Processes and their Applications, 126 (2016) 2123–2162. The proposition which provides an expression for the expectation of products of multiple integrals (w.r.t. Brownian motion and compensated Poisson process) requires a stronger integrability assumption on the kernels than previously stated. This does not affect the remaining results of the article.

Statistics and ProbabilityPolynomial chaosStochastic processApplied MathematicsMultiple integral010102 general mathematicsMathematical analysisMotion (geometry)Poisson processExpression (computer science)01 natural sciences010104 statistics & probabilitysymbols.namesakeMathematics::ProbabilityReflected Brownian motionModeling and SimulationsymbolsApplied mathematics0101 mathematicsMathematicsStochastic Processes and their Applications
researchProduct

Ancestral processes in population genetics-the coalescent.

2000

A special stochastic process, called the coalescent, is of fundamental interest in population genetics. For a large class of population models this process is the appropriate tool to analyse the ancestral structure of a sample of n individuals or genes, if the total number of individuals in the population is sufficiently large. A corresponding convergence theorem was first proved by Kingman in 1982 for the Wright-Fisher model and the Moran model. Generalizations to a large class of exchangeable population models and to models with overlying mutation processes followed shortly later. One speaks of the "robustness of the coalescent, as this process appears in many models as the total populati…

Statistics and ProbabilityPopulationIdealised populationPopulation DynamicsWatterson estimatorPopulation geneticsBiologyGeneral Biochemistry Genetics and Molecular BiologyCoalescent theoryEconometricsQuantitative Biology::Populations and EvolutionAnimalsSelection GeneticeducationRecombination Geneticeducation.field_of_studyStochastic ProcessesModels StatisticalGeneral Immunology and MicrobiologyModels GeneticStochastic processApplied MathematicsRobustness (evolution)General MedicinePopulation modelEvolutionary biologyModeling and SimulationMutationGeneral Agricultural and Biological SciencesJournal of theoretical biology
researchProduct

Global stability of protein folding from an empirical free energy function

2013

The principles governing protein folding stand as one of the biggest challenges of Biophysics. Modeling the global stability of proteins and predicting their tertiary structure are hard tasks, due in part to the variety and large number of forces involved and the difficulties to describe them with sufficient accuracy. We have developed a fast, physics-based empirical potential, intended to be used in global structure prediction methods. This model considers four main contributions: Two entropic factors, the hydrophobic effect and configurational entropy, and two terms resulting from a decomposition of close-packing interactions, namely the balance of the dispersive interactions of folded an…

Statistics and ProbabilityProtein FoldingEmpirical potential for proteinsConfiguration entropyPROTCALBioinformaticsGeneral Biochemistry Genetics and Molecular BiologyForce field (chemistry)Protein structureStatistical physicsDatabases ProteinQuantitative Biology::BiomoleculesModels StatisticalFoldXGeneral Immunology and MicrobiologyApplied MathematicsProteinsReproducibility of ResultsGeneral MedicineProtein tertiary structureProtein Structure TertiaryPrediction of protein folding stabilityModeling and SimulationLinear ModelsThermodynamicsProtein foldingGeneral Agricultural and Biological SciencesStatistical potentialAlgorithmsSoftwareTest dataJournal of Theoretical Biology
researchProduct

Generalized Riesz systems and orthonormal sequences in Krein spaces

2018

We analyze special classes of bi-orthogonal sets of vectors in Hilbert and in Krein spaces, and their relations with generalized Riesz systems. In this way, the notion of the first/second type sequences is introduced and studied. We also discuss their relevance in some concrete quantum mechanical system driven by manifestly non self-adjoint Hamiltonians.

Statistics and ProbabilityPure mathematics46N50 81Q12FOS: Physical sciencesGeneral Physics and AstronomyStatistical and Nonlinear PhysicsMathematical Physics (math-ph)Mathematics::Spectral TheoryRiesz basisBiorthogonal sequenceModeling and SimulationPT -symmetric HamiltonianKrein spaceOrthonormal basisSettore MAT/07 - Fisica MatematicaMathematical PhysicsMathematicsJournal of Physics A: Mathematical and Theoretical
researchProduct

Gabor-like systems in ${cal L}^2({bf R}^d)$ and extensions to wavelets

2008

In this paper we show how to construct a certain class of orthonormal bases in starting from one or more Gabor orthonormal bases in . Each such basis can be obtained acting on a single function with a set of unitary operators which operate as translation and modulation operators in suitable variables. The same procedure is also extended to frames and wavelets. Many examples are discussed.

Statistics and ProbabilityPure mathematicsClass (set theory)Basis (linear algebra)General Physics and AstronomyStatistical and Nonlinear PhysicsFunction (mathematics)Translation (geometry)Unitary stateSet (abstract data type)WaveletModeling and SimulationOrthonormal basisGabor framesSettore MAT/07 - Fisica MatematicaMathematical PhysicsMathematics
researchProduct

Non-self-adjoint Hamiltonians with complex eigenvalues

2016

Motivated by what one observes dealing with PT-symmetric quantum mechanics, we discuss what happens if a physical system is driven by a diagonalizable Hamiltonian with not all real eigenvalues. In particular, we consider the functional structure related to systems living in finite-dimensional Hilbert spaces, and we show that certain intertwining relations can be deduced also in this case if we introduce suitable antilinear operators. We also analyze a simple model, computing the transition probabilities in the broken and in the unbroken regime.

Statistics and ProbabilityPure mathematicsDiagonalizable matrixPhysical systemFOS: Physical sciencesGeneral Physics and Astronomyintertwining relation01 natural sciencesModeling and simulationPhysics and Astronomy (all)symbols.namesakePT-quantum mechanic0103 physical sciencesMathematical Physic010306 general physicsSettore MAT/07 - Fisica Matematicaantilinear operatorMathematical PhysicsEigenvalues and eigenvectorsMathematicsQuantum Physics010308 nuclear & particles physicsHilbert spaceStatistical and Nonlinear PhysicsProbability and statisticsMathematical Physics (math-ph)Modeling and SimulationsymbolsQuantum Physics (quant-ph)Hamiltonian (quantum mechanics)Self-adjoint operatorStatistical and Nonlinear PhysicJournal of Physics A: Mathematical and Theoretical
researchProduct

Explicit near-symplectic mappings of Hamiltonian systems with Lie-generating functions

2008

The construction of explicit near-symplectic mappings for generic Hamiltonian systems with the utilization of Lie transforms is presented. The method is mathematically rigorous and systematically extended to high order with respect to a perturbation parameter. The explicit mappings are compared to their implicit counterparts, which use mixed-variable generating functions, in terms of conservation of invariant quantities, calculation speed and accurate construction of Poincare surfaces of sections. The comparative study considers a wide range of parameters and initial conditions for which different time scales are involved due to large differences between internal and external frequencies of…

Statistics and ProbabilityPure mathematicsGenerating functionGeneral Physics and AstronomyPerturbation (astronomy)Statistical and Nonlinear PhysicsInvariant (physics)TopologyHamiltonian systemsymbols.namesakeModeling and SimulationPoincaré conjecturesymbolsMathematical PhysicsSymplectic geometrySymplectic manifoldPoincaré mapMathematicsJournal of Physics A: Mathematical and Theoretical
researchProduct