Search results for "Variant"

showing 10 items of 1267 documents

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
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Remarks on ergodicity and invariant occupation measure in branching diffusions with immigration☆

2005

Abstract We give a necessary and sufficient condition for ergodicity with finite invariant occupation measure for branching diffusions with immigration. We do not assume uniformly subcritial reproduction means. We discuss the structure of the invariant occupation measure and of its density.

Statistics and ProbabilityPure mathematicsProbability theoryErgodicityMathematical analysisQuantitative Biology::Populations and EvolutionInvariant measureStatistics Probability and UncertaintyInvariant (mathematics)Ergodic processResolventMathematicsAnnales de l'Institut Henri Poincare (B) Probability and Statistics
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Spin-1/2 sub-dynamics nested in the quantum dynamics of two coupled qutrits

2017

In this paper we investigate the quantum dynamics of two spin-1 systems, $\vec{\textbf{S}}_1$ and $\vec{\textbf{S}}_2$, adopting a generalized $(\vec{\textbf{S}}_1+\vec{\textbf{S}}_2)^2$-nonconserving Heisenberg model. We show that, due to its symmetry property, the nine-dimensional dynamics of the two qutrits exactly decouples into the direct sum of two sub-dynamics living in two orthogonal four- and five-dimensional subspaces. Such a reduction is further strengthened by our central result consisting in the fact that in the four-dimensional dynamically invariant subspace, the two qutrits quantum dynamics, with no approximations, is equivalent to that of two non interacting spin 1/2's. The …

Statistics and ProbabilityQuantum dynamicsGeneral Physics and AstronomyFOS: Physical sciencesquantum mechanicquantum entanglement01 natural sciencesSettore FIS/03 - Fisica Della Materia010305 fluids & plasmasReduction (complexity)Theoretical physicsPhysics and Astronomy (all)0103 physical sciencesMathematical Physic010306 general physicsMathematical PhysicsSpin-½symmetry-based emergence of qubit subdynamicPhysicsQuantum PhysicsDirect sumHeisenberg modeltwo coupled qutrit Hamiltonian modelInvariant subspaceStatistical and Nonlinear PhysicsLinear subspaceSymmetry (physics)Modeling and SimulationQuantum Physics (quant-ph)Statistical and Nonlinear Physic
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On the usage of joint diagonalization in multivariate statistics

2022

Scatter matrices generalize the covariance matrix and are useful in many multivariate data analysis methods, including well-known principal component analysis (PCA), which is based on the diagonalization of the covariance matrix. The simultaneous diagonalization of two or more scatter matrices goes beyond PCA and is used more and more often. In this paper, we offer an overview of many methods that are based on a joint diagonalization. These methods range from the unsupervised context with invariant coordinate selection and blind source separation, which includes independent component analysis, to the supervised context with discriminant analysis and sliced inverse regression. They also enco…

Statistics and ProbabilityScatter matricesMultivariate statisticsContext (language use)010103 numerical & computational mathematics01 natural sciencesBlind signal separation010104 statistics & probabilitySliced inverse regression0101 mathematicsB- ECONOMIE ET FINANCESupervised dimension reductionMathematicsNumerical Analysisbusiness.industryCovariance matrixPattern recognitionriippumattomien komponenttien analyysimatemaattinen tilastotiedeLinear discriminant analysisInvariant component selectionIndependent component analysismonimuuttujamenetelmätPrincipal component analysisDimension reductionBlind source separationArtificial intelligenceStatistics Probability and Uncertaintybusiness
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Standard forms and entanglement engineering of multimode Gaussian states under local operations

2007

We investigate the action of local unitary operations on multimode (pure or mixed) Gaussian states and single out the minimal number of locally invariant parametres which completely characterise the covariance matrix of such states. For pure Gaussian states, central resources for continuous-variable quantum information, we investigate separately the parametre reduction due to the additional constraint of global purity, and the one following by the local-unitary freedom. Counting arguments and insights from the phase-space Schmidt decomposition and in general from the framework of symplectic analysis, accompany our description of the standard form of pure n-mode Gaussian states. In particula…

Statistics and ProbabilitySchmidt decompositionGaussianGeneral Physics and AstronomyFOS: Physical sciencesQuantum entanglementUnitary statesymbols.namesakeSYSTEMSFOS: MathematicsCONTINUOUS-VARIABLESStatistical physicsQuantum informationMathematical PhysicsMathematicsQuantum PhysicsCovariance matrixStatistical and Nonlinear PhysicsInvariant (physics)QUANTUM TELEPORTATION NETWORKMathematics - Symplectic GeometryModeling and SimulationPhase spacesymbolsSymplectic Geometry (math.SG)Quantum Physics (quant-ph)Optics (physics.optics)Physics - Optics
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Mohr-cyclides, a 3D representation of geological tensors: The examples of stress and flow

2008

Mohr-circles are commonly used to represent second-rank tensors in two dimensions. In geology, this mainly applies to stress, flow, strain and deformation. Three-dimensional second rank tensors have been represented by sets of three Mohr-circles, mainly in the application of stress. This paper demonstrates that three-dimensional second rank tensors can in fact be represented in a three-dimensional reference frame by Mohr surfaces, which are members of the cyclide family. Such Mohr-cyclides can be used to represent any second rank tensor and are exemplified with the stress and flow tensors.

Stress (mechanics)Pure mathematicsRank (linear algebra)Flow (mathematics)Invariants of tensorsMohr's circleGeologyGeometryMaxwell stress tensorTensorPhysics::GeophysicsMathematicsPlane stressJournal of Structural Geology
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Solving the Problems of Inspection Planning under Parametric Uncertainty of Underlying Models

2013

Certain fatigued structures must be inspected in order to detect fatigue damages that would otherwise not be apparent. A technique for obtaining optimal inspection strategies is proposed for situations where it is difficult to quantify the costs associated with inspections and undetected failure. For fatigued structures for which failures (fatigue damages) are only detected at the time of inspection, it is important to be able to determine the optimal times of inspection. Fewer inspections will lead to lower fatigue reliability of the structure upon demand, and frequent inspection will lead to higher cost. When there is a fatigue reliability requirement, the problem is usually to develop an…

Structure (mathematical logic)EngineeringSequencereliabilitybusiness.industryeducationmaintainabilityoperational researchGeneral MedicinehumanitiesReliability engineeringInvariant embeddingstomatognathic diseasesprobabilistic and statistical models in industrial plant controlDamagessafety and dependability of production systemsbusinessReliability (statistics)Invariant (computer science)Parametric statisticsIFAC Proceedings Volumes
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Decision Making and Optimization for Inspection Planning under Parametric Uncertainty of Underlying Models

2013

Certain fatigued structures must be inspected in order to detect fatigue damages that would otherwise not be apparent. A technique for obtaining optimal inspection strategies is proposed for situations where it is difficult to quantify the costs associated with inspections and undetected failure. For fatigued structures, for which failures (fatigue damages) are only detected at the time of inspection, it is important to be able to determine the optimal times of inspection. Fewer inspections will lead to lower fatigue reliability of the structure upon demand, and frequent inspections will lead to higher cost. When there is a fatigue reliability requirement, the problem is usually to develop …

Structure (mathematical logic)stomatognathic diseasesSequenceComputer scienceeducationDamagesSensitivity analysishumanitiesInvariant (computer science)Reliability (statistics)Invariant embeddingParametric statisticsReliability engineering
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Supercapacitor diagnosis using an Extended Kalman Filtering approach

2016

This paper deals with the model-based analysis of a Supercapacitor for diagnostic purposes. A two legs nonlinear physical model is assumed for the Supercapacitor and the corresponding second-order nonlinear state-space mathematical model is obtained. Then, an Extended Kalman Filter is tuned so that the estimated outputs reproduce the voltages at the equivalent capacitance terminals; they give information on the state of health of the supercapacitor but are not directly measurable. In particular, an optimization problem is firstly formulated, involving the experimental input-output data and those given by the Extended Kalman Filter.

SupercapacitorEngineeringOptimization problembusiness.industry020209 energy020208 electrical & electronic engineering02 engineering and technologyKalman filterCapacitanceInvariant extended Kalman filterNonlinear systemExtended Kalman filterControl theory0202 electrical engineering electronic engineering information engineeringFast Kalman filterbusiness2016 IEEE 16th International Conference on Environment and Electrical Engineering (EEEIC)
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Skyrmion formation due to unconventional magnetic modes in anisotropic multiband superconductors

2018

Multiband superconductors have a sufficient number of degrees of freedom to allow topological excitations characterized by Skyrmionic topological invariants. In the most common, clean s-wave multiband, systems the interband magnetic coupling favours composite vortex solutions, without a Skyrmionic topological charge. It was discussed recently that certain kinds of anisotropies lead to hybridisation of the interband phase difference (Leggett) mode with magnetic modes, dramatically changing the hydromagnetostatics of the system. Here we report this effect for a range of parameters that substantially alter the nature of the topological excitations, leading to solutions characterized by a nontr…

SuperconductivityPhysicsta114SkyrmionCondensed Matter - SuperconductivitysuperconductivityDegrees of freedommultiband superconductivityFOS: Physical sciencesvortices in superconductors02 engineering and technology021001 nanoscience & nanotechnology01 natural sciencessuprajohteetSuperconductivity (cond-mat.supr-con)Theoretical physicsCondensed Matter::Superconductivity0103 physical sciencesTopological invariants010306 general physics0210 nano-technologyAnisotropyPhysical Review B
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