Search results for "Exponent"

showing 10 items of 896 documents

Anomalies on codimension growth of algebras

2015

Abstract This paper deals with the asymptotic behavior of the sequence of codimensions c n ⁢ ( A ) ${c_{n}(A)}$ , n = 1 , 2 , … , ${n=1,2,\ldots,}$ of an algebra A over a field of characteristic zero. It is shown that when such sequence is polynomially bounded, then lim sup n → ∞ ⁡ log n ⁡ c n ⁢ ( A ) ${\limsup_{n\to\infty}\log_{n}c_{n}(A)}$ and lim inf n → ∞ ⁡ log n ⁡ c n ⁢ ( A ) ${\liminf_{n\to\infty}\log_{n}c_{n}(A)}$ can be arbitrarily distant. Also, in case the codimensions are exponentially bounded, we can construct an algebra A such that exp ⁡ ( A ) = 2 ${\exp(A)=2}$ and, for any q ≥ 1 ${q\geq 1}$ , there are infinitely many integers n such that c n ⁢ ( A ) > n q ⁢ 2 n ${c_{n}(A)&…

General MathematicsApplied Mathematics010102 general mathematicsCodimensionPolynomial identity01 natural sciencesExponential growth010101 applied mathematicsAlgebraExponential growthCodimensionMathematics (all)0101 mathematicsMathematics
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Chaotic behavior in deformable models: the double-well doubly periodic oscillators

2001

Abstract The motion of a particle in a one-dimensional perturbed double-well doubly periodic potential is investigated analytically and numerically. A simple physical model for calculating analytically the Melnikov function is proposed. The onset of chaos is studied through an analysis of the phase space, a construction of the bifurcation diagram and a computation of the Lyapunov exponent. The parameter regions of chaotic behavior predicted by the theoretical analysis agree very well with numerical simulations.

General MathematicsApplied MathematicsComputationMathematical analysisChaoticGeneral Physics and AstronomyMotion (geometry)Statistical and Nonlinear PhysicsLyapunov exponentBifurcation diagramNonlinear Sciences::Chaotic Dynamicssymbols.namesakeClassical mechanicsSimple (abstract algebra)Phase spacesymbolsParticleMathematicsChaos, Solitons & Fractals
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Chaotic behaviour in deformable models: the asymmetric doubly periodic oscillators

2002

Abstract The motion of a particle in a one-dimensional perturbed asymmetric doubly periodic (ASDP) potential is investigated analytically and numerically. A simple physical model for calculating analytically the Melnikov function is proposed. The onset of chaos is studied through an analysis of the phase space, a construction of the bifurcation diagram and a computation of the Lyapunov exponent. Theory predicts the regions of chaotic behaviour of orbits in a good agreement with computer calculations.

General MathematicsApplied MathematicsComputationMathematical analysisChaoticGeneral Physics and AstronomyMotion (geometry)Statistical and Nonlinear PhysicsLyapunov exponentBifurcation diagramNonlinear Sciences::Chaotic Dynamicssymbols.namesakeSimple (abstract algebra)Phase spacesymbolsMelnikov methodMathematicsChaos, Solitons & Fractals
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Harmonicity and minimality of oriented distributions

2004

We consider an oriented distribution as a section of the corresponding Grassmann bundle and, by computing the tension of this map for conveniently chosen metrics, we obtain the conditions which the distribution must satisfy in order to be critical for the functionals related to the volume or the energy of the map. We show that the three-dimensional distribution ofS4m+3 tangent to the quaternionic Hopf fibration defines a harmonic map and a minimal immersion and we extend these results to more general situations coming from 3-Sasakian and quaternionic geometry.

General MathematicsBundleMathematical analysisImmersion (mathematics)Pushforward (differential)Harmonic mapTangentMathematics::Differential GeometryHopf fibrationExponential map (Riemannian geometry)MathematicsIsrael Journal of Mathematics
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Dynamical environments of relativistic binaries: The phenomenon of resonance shifting

2019

In this article, we explore both numerically and analytically how the dynamical environments of mildly relativistic binaries evolve with increasing the general relativity factor $\gamma$ (the normalized inverse of the binary size measured in the units of the gravitational radius corresponding to the total mass of the system). Analytically, we reveal a phenomenon of the relativistic shifting of mean-motion resonances: on increasing $\gamma$, the resonances between the test particle and the central binary shift, due to the relativistic variation of the mean motions of the primary and secondary binaries and the relativistic advance of the tertiary's pericenter. To exhibit the circumbinary dyna…

General relativityFOS: Physical sciencesalternative theories of gravityBinary numberInverseGeneral Relativity and Quantum Cosmology (gr-qc)Lyapunov exponent01 natural sciencesGeneral Relativity and Quantum Cosmologysymbols.namesake0103 physical sciences010306 general physicsEarth and Planetary Astrophysics (astro-ph.EP)Physics010308 nuclear & particles physicsPlane (geometry)Nonlinear Sciences - Chaotic Dynamics[PHYS.PHYS.PHYS-GEN-PH]Physics [physics]/Physics [physics]/General Physics [physics.gen-ph]General relativityQuantum electrodynamics[PHYS.GRQC]Physics [physics]/General Relativity and Quantum Cosmology [gr-qc]symbolsChaotic Dynamics (nlin.CD)Test particleCircumbinary planet[PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph]Schwarzschild radiusAstrophysics - Earth and Planetary AstrophysicsPhysical Review D
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Order statistics-based parametric classification for multi-dimensional distributions

2013

Traditionally, in the field of Pattern Recognition (PR), the moments of the class-conditional densities of the respective classes have been used to perform classification. However, the use of phenomena that utilized the properties of the Order Statistics (OS) were not reported. Recently, in [10,8], we proposed a new paradigm named CMOS, Classification by the Moments of Order Statistics, which specifically used these quantifiers. It is fascinating that CMOS is essentially ''anti''-Bayesian in its nature because the classification is performed in a counter-intuitive manner, i.e., by comparing the testing sample to a few samples distant from the mean, as opposed to the Bayesian approach in whi…

GeneralizationGaussianBayesian probabilityOrder statisticExponential functionsymbols.namesakeExponential familyArtificial IntelligenceSignal ProcessingPattern recognition (psychology)symbolsComputer Vision and Pattern RecognitionAlgorithmSoftwareMathematicsParametric statisticsPattern Recognition
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On the fractional probabilistic Taylor's and mean value theorems

2016

In order to develop certain fractional probabilistic analogues of Taylor's theorem and mean value theorem, we introduce the nth-order fractional equilibrium distribution in terms of the Weyl fractional integral and investigate its main properties. Specifically, we show a characterization result by which the nth-order fractional equilibrium distribution is identical to the starting distribution if and only if it is exponential. The nth-order fractional equilibrium density is then used to prove a fractional probabilistic Taylor's theorem based on derivatives of Riemann-Liouville type. A fractional analogue of the probabilistic mean value theorem is thus developed for pairs of nonnegative rand…

Generalized Taylor’s formulaMean value theoremSurvival bounded order01 natural sciencesStochastic ordering010104 statistics & probabilityCharacterization of exponential distribution; Fractional calculus; Fractional equilibrium distribution; Generalized Taylor’s formula; Mean value theorem; Survival bounded orderFOS: MathematicsCharacterization of exponential distributionApplied mathematics0101 mathematicsMathematicsComputer Science::Information RetrievalApplied MathematicsProbability (math.PR)010102 general mathematicsProbabilistic logic60E99 26A33 26A24Fractional calculusFractional equilibrium distributionFractional calculusExponential functionDistribution (mathematics)Bounded functionMean value theorem (divided differences)Random variableAnalysisMathematics - Probability
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Comparison theorems for the volume of a geodesic ball with a product of space forms as a model

1995

We prove two comparison theorems for the volume of a geodesic ball in a Riemannian manifold taking as a model a geodesic ball in a product of two space forms.

GeodesicMathematical analysisGeodesic mapMathematics::Metric GeometryMathematics::Differential GeometryGeometry and TopologyBall (mathematics)Riemannian manifoldExponential map (Riemannian geometry)Solving the geodesic equationsRicci curvatureScalar curvatureMathematicsJournal of Geometry
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Stochastic dynamical modelling of spot freight rates

2014

Based on empirical analysis of the Capesize and Panamax indices, we propose different continuous-time stochastic processes to model their dynamics. The models go beyond the standard geometric Brownian motion, and incorporate observed effects like heavy-tailed returns, stochastic volatility and memory. In particular, we suggest stochastic dynamics based on exponential Levy processes with normal inverse Gaussian distributed logarithmic returns. The Barndorff-Nielsen and Shephard stochastic volatility model is shown to capture time-varying volatility in the data. Finally, continuous-time autoregressive processes provide a class of models sufficiently rich to incorporate short-term persistence …

Geometric Brownian motionStochastic volatilityStochastic processApplied MathematicsStrategy and ManagementManagement Science and Operations ResearchLévy processManagement Information SystemsExponential functionInverse Gaussian distributionsymbols.namesakeAutoregressive modelModeling and SimulationsymbolsStatistical physicsVolatility (finance)General Economics Econometrics and FinanceMathematicsIMA Journal of Management Mathematics
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Structure function as a tool in AE and Dst time series analysis

1995

A new method to analyse the structure function (SF) has been constructed and used in the analysis of the AE time series for the years 1978-85 and Dst time series for 1957-84. It is shown that this SF analysis makes a clear distinction between affine and periodicity dominated time series, and it displays the essential periodicities of the series in a range relevant to its characteristic time scale. The AE time series is found to be affine such that the scaling exponent changes at a time scale of 113 (±9) minutes. On the other hand, in the SF function analysis, the Dst data are dominated by the 24-hour and 27-day periods. The 27-day period is modulated by the annual variation.

GeophysicsSeries (mathematics)Scale (ratio)Structure functionExponentRange (statistics)General Earth and Planetary SciencesStatistical physicsAffine transformationTime seriesScalingMathematicsGeophysical Research Letters
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