Search results for "Expo"

showing 10 items of 2430 documents

Abelian Powers and Repetitions in Sturmian Words

2016

Richomme, Saari and Zamboni (J. Lond. Math. Soc. 83: 79-95, 2011) proved that at every position of a Sturmian word starts an abelian power of exponent $k$ for every $k > 0$. We improve on this result by studying the maximum exponents of abelian powers and abelian repetitions (an abelian repetition is an analogue of a fractional power) in Sturmian words. We give a formula for computing the maximum exponent of an abelian power of abelian period $m$ starting at a given position in any Sturmian word of rotation angle $\alpha$. vAs an analogue of the critical exponent, we introduce the abelian critical exponent $A(s_\alpha)$ of a Sturmian word $s_\alpha$ of angle $\alpha$ as the quantity $A(s_\a…

FOS: Computer and information sciencesFibonacci numberGeneral Computer ScienceDiscrete Mathematics (cs.DM)Formal Languages and Automata Theory (cs.FL)[INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS]Computer Science - Formal Languages and Automata Theory0102 computer and information sciences01 natural sciencesTheoretical Computer ScienceCombinatoricsFOS: MathematicsMathematics - Combinatorics[INFO]Computer Science [cs]Number Theory (math.NT)0101 mathematicsAbelian groupContinued fractionFibonacci wordComputingMilieux_MISCELLANEOUSQuotientMathematicsMathematics - Number Theoryta111010102 general mathematicsComputer Science (all)Sturmian wordSturmian wordAbelian period; Abelian power; Critical exponent; Lagrange constant; Sturmian word; Theoretical Computer Science; Computer Science (all)Abelian periodLagrange constantCritical exponentAbelian power010201 computation theory & mathematicsBounded functionExponentCombinatorics (math.CO)Computer Science::Formal Languages and Automata TheoryComputer Science - Discrete Mathematics
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Abelian-Square-Rich Words

2017

An abelian square is the concatenation of two words that are anagrams of one another. A word of length $n$ can contain at most $\Theta(n^2)$ distinct factors, and there exist words of length $n$ containing $\Theta(n^2)$ distinct abelian-square factors, that is, distinct factors that are abelian squares. This motivates us to study infinite words such that the number of distinct abelian-square factors of length $n$ grows quadratically with $n$. More precisely, we say that an infinite word $w$ is {\it abelian-square-rich} if, for every $n$, every factor of $w$ of length $n$ contains, on average, a number of distinct abelian-square factors that is quadratic in $n$; and {\it uniformly abelian-sq…

FOS: Computer and information sciencesGeneral Computer ScienceDiscrete Mathematics (cs.DM)Formal Languages and Automata Theory (cs.FL)Abelian squareComputer Science - Formal Languages and Automata Theory0102 computer and information sciences02 engineering and technology68R1501 natural sciencesSquare (algebra)Theoretical Computer ScienceCombinatorics0202 electrical engineering electronic engineering information engineeringFOS: MathematicsMathematics - CombinatoricsAbelian groupQuotientMathematicsDiscrete mathematicsComputer Science (all)Sturmian wordSturmian wordFunction (mathematics)Thue–Morse word010201 computation theory & mathematicsBounded functionThue-Morse wordExponentAbelian square; Sturmian word; Thue-Morse word; Theoretical Computer Science; Computer Science (all)020201 artificial intelligence & image processingCombinatorics (math.CO)Word (group theory)Computer Science::Formal Languages and Automata TheoryComputer Science - Discrete Mathematics
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Fractal surfaces from simple arithmetic operations

2015

Fractal surfaces ('patchwork quilts') are shown to arise under most general circumstances involving simple bitwise operations between real numbers. A theory is presented for all deterministic bitwise operations on a finite alphabet. It is shown that these models give rise to a roughness exponent $H$ that shapes the resulting spatial patterns, larger values of the exponent leading to coarser surfaces.

FOS: Computer and information sciencesStatistics and ProbabilityDiscrete mathematicsOther Computer Science (cs.OH)Condensed Matter Physics01 natural sciences010305 fluids & plasmasSelf-affinityFractalSimple (abstract algebra)Computer Science - Other Computer Science0103 physical sciencesRoughness exponentExponentStatistical physicsAlphabet010306 general physicsBitwise operationReal numberMathematics
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KFAS : Exponential Family State Space Models in R

2017

State space modelling is an efficient and flexible method for statistical inference of a broad class of time series and other data. This paper describes an R package KFAS for state space modelling with the observations from an exponential family, namely Gaussian, Poisson, binomial, negative binomial and gamma distributions. After introducing the basic theory behind Gaussian and non-Gaussian state space models, an illustrative example of Poisson time series forecasting is provided. Finally, a comparison to alternative R packages suitable for non-Gaussian time series modelling is presented.

FOS: Computer and information sciencesStatistics and ProbabilityaikasarjatGaussianNegative binomial distributionforecastingPoisson distribution01 natural sciencesStatistics - ComputationMethodology (stat.ME)010104 statistics & probability03 medical and health sciencessymbols.namesake0302 clinical medicineExponential familyexponential familyGamma distributionStatistical inferenceState spaceApplied mathematicsSannolikhetsteori och statistik030212 general & internal medicine0101 mathematicsProbability Theory and Statisticslcsh:Statisticslcsh:HA1-4737Computation (stat.CO)Statistics - MethodologyMathematicsR; exponential family; state space models; time series; forecasting; dynamic linear modelsta112state space modelsSeries (mathematics)RStatistics; Computer softwaresymbolsStatistics Probability and Uncertaintytime seriesSoftwaredynamic linear models
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Using the Scaling Analysis to Characterize Financial Markets

2003

We empirically analyze the scaling properties of daily Foreign Exchange rates, Stock Market indices and Bond futures across different financial markets. We study the scaling behaviour of the time series by using a generalized Hurst exponent approach. We verify the robustness of this approach and we compare the results with the scaling properties in the frequency-domain. We find evidence of deviations from the pure Brownian motion behavior. We show that these deviations are associated with characteristics of the specific markets and they can be, therefore, used to distinguish the different degrees of development of the markets.

FOS: Economics and businessStatistical Finance (q-fin.ST)Statistical Mechanics (cond-mat.stat-mech)jel:G1Quantitative Finance - Statistical FinanceFOS: Physical sciencesCondensed Matter - Statistical Mechanicsscaling exponents time series analysis multi-fractals financial market
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Single chain structure in thin polymer films: Corrections to Flory's and Silberberg's hypotheses

2005

Conformational properties of polymer melts confined between two hard structureless walls are investigated by Monte Carlo simulation of the bond-fluctuation model. Parallel and perpendicular components of chain extension, bond-bond correlation function and structure factor are computed and compared with recent theoretical approaches attempting to go beyond Flory's and Silberberg's hypotheses. We demonstrate that for ultrathin films where the thickness, $H$, is smaller than the excluded volume screening length (blob size), $\xi$, the chain size parallel to the walls diverges logarithmically, $R^2/2N \approx b^2 + c \log(N)$ with $c \sim 1/H$. The corresponding bond-bond correlation function d…

FOS: Physical sciences02 engineering and technologyCondensed Matter - Soft Condensed MatterPlateau (mathematics)01 natural sciencesPower lawOmega0103 physical sciencesGeneral Materials Science61.25.Hq 67.70.+n010306 general physicspolymersMonte Carlo simulationPhysicsCondensed matter physicsForm factor (quantum field theory)021001 nanoscience & nanotechnologyCondensed Matter PhysicsCorrelation function (statistical mechanics)thin films[PHYS.COND.CM-GEN]Physics [physics]/Condensed Matter [cond-mat]/Other [cond-mat.other]Excluded volumeExponentSoft Condensed Matter (cond-mat.soft)0210 nano-technologyStructure factor
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Persistence of temperature and precipitation: from local to global anomalies

2021

Using detrended fluctuation analysis (DFA) we find that all continents are persistent in temperature. The scaling exponents of the southern hemisphere (SH) continents, i.e., South America (0.77) and Oceania (0.72) are somewhat higher than scaling exponents of Europe (0.70), Asia (0.69) and North America (0.64), but the scaling of Africa is by far the highest (0.86). The reason for this is the location of Africa near the equator. The scaling exponents of the precipitation are much smaller, i.e. between 0.55 (Europe) and 0.68 (North America). The scaling exponent of Europe is near that of the random noise (0.5), while the other continents are slightly persistent in precipitation. We also show…

FOS: Physical sciencesLand area010502 geochemistry & geophysics01 natural sciencesLatitudePhysics - Atmospheric and Oceanic PhysicsGeophysicsClimatologyAtmospheric and Oceanic Physics (physics.ao-ph)ExponentDetrended fluctuation analysisPrecipitationPersistence (discontinuity)ScalingSouthern HemisphereGeology0105 earth and related environmental sciences
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On differences and similarities in the analysis of Lorenz, Chen, and Lu systems

2015

Currently it is being actively discussed the question of the equivalence of various Lorenz-like systems and the possibility of universal consideration of their behavior (Algaba et al., 2013a,b, 2014b,c; Chen, 2013; Chen and Yang, 2013; Leonov, 2013a), in view of the possibility of reduction of such systems to the same form with the help of various transformations. In the present paper the differences and similarities in the analysis of the Lorenz, the Chen and the Lu systems are discussed. It is shown that the Chen and the Lu systems stimulate the development of new methods for the analysis of chaotic systems. Open problems are discussed.

FOS: Physical sciencesLyapunov exponentLorenz-like systemsLu systemChaotic analog of 16th Hilbert problemReduction (complexity)symbols.namesakeChenDevelopment (topology)Lorenz systemChaotic systemsCalculusApplied mathematicsEquivalence (measure theory)MathematicsbiologyApplied Mathematicsta111Lorenz systembiology.organism_classificationNonlinear Sciences - Chaotic DynamicsComputational MathematicsChen systemsymbolsChaotic Dynamics (nlin.CD)Lyapunov exponentApplied Mathematics and Computation
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Exponential sums related to Maass forms

2019

We estimate short exponential sums weighted by the Fourier coefficients of a Maass form. This requires working out a certain transformation formula for non-linear exponential sums, which is of independent interest. We also discuss how the results depend on the growth of the Fourier coefficients in question. As a byproduct of these considerations, we can slightly extend the range of validity of a short exponential sum estimate for holomorphic cusp forms. The short estimates allow us to reduce smoothing errors. In particular, we prove an analogue of an approximate functional equation previously proven for holomorphic cusp form coefficients. As an application of these, we remove the logarithm …

FOURIER COEFFICIENTSPure mathematicsLogarithmHolomorphic function01 natural sciencesUpper and lower boundsAPPROXIMATE FUNCTIONAL-EQUATIONFunctional equationFOS: Mathematics111 MathematicsNumber Theory (math.NT)0101 mathematicsFourier coefficients of cusp formsFourier seriesexponential sumsMathematicsAlgebra and Number TheoryMathematics - Number Theory010102 general mathematicsVoronoi summation formulaCusp formADDITIVE TWISTSExponential functionSQUAREExponential sumRIEMANN ZETA-FUNCTION
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A fully adaptive wavelet algorithm for parabolic partial differential equations

2001

We present a fully adaptive numerical scheme for the resolution of parabolic equations. It is based on wavelet approximations of functions and operators. Following the numerical analysis in the case of linear equations, we derive a numerical algorithm essentially based on convolution operators that can be efficiently implemented as soon as a natural condition on the space of approximation is satisfied. The algorithm is extended to semi-linear equations with time dependent (adapted) spaces of approximation. Numerical experiments deal with the heat equation as well as the Burgers equation.

FTCS schemeNumerical AnalysisDifferential equationIndependent equationApplied MathematicsMathematical analysisMathematicsofComputing_NUMERICALANALYSISExponential integratorParabolic partial differential equationComputational MathematicsMultigrid methodAlgorithmMathematicsNumerical stabilityNumerical partial differential equationsApplied Numerical Mathematics
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