Search results for "Function"

showing 10 items of 14432 documents

ÉQUATIONS DIFFÉRENTIELLES À COEFFICIENTS DANS DES CORPS DE SÉRIES GÉNÉRALISÉES.

2007

We express the connection between the support of some equations and those of generalized series solutions. On the one hand we prove that any real power series solution of a sub-analytic differential equation belong to a lattice (i.e. an additive sub semi-group of positive reals). On the other hand we consider the field Mr of series with well-ordered support included in the Hahn product Hr with finite rank r (i.e. the lexicographic product of r copies of the reals). We equip Mr with a "Hardy type" derivation and define some well-ordered sets T1, ..., Tr such that : for all equation F(y,...,y(n))=0 with F in Mr[[Y0,...,Yn]] and whose support Supp F is a well-ordered subset of Hr, and for all …

[ MATH ] Mathematics [math]corps valué[MATH] Mathematics [math]well-ordered sets.Generalized (power) seriesensembles bien ordonnésfonction sous-analytiqueensembles bien ordonnés.valued fields[MATH]Mathematics [math]Séries généraliséesdéveloppement asymp-<br />totiquevaluationsub-analytic functionsasymptotic<br />development
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Contribution à l'estimation non paramétrique des quantiles géométriques et à l'analyse des données fonctionnelles

2008

In this dissertation we study the nonparametric geometric quantile estimation, conditional geometric quantiles estimation and functional data analysis. First, we are interested to the definition of geometric quantiles. Different simulations show that Transformation-Retransformation technique should be used to estimate geometric quantiles when the distribution is not spheric. A real study shows that, data are better modelized by geometric quantiles than by marginal one's, especially when variables that make up the random vector are correlated. Then we estimate geometric quantiles when data are obtained by survey sampling techniques. First, we propose an unbaised estimator, then using lineari…

[ MATH ] Mathematics [math]sondageinfluence function[MATH] Mathematics [math]\alpha-mixingTransformation-Retransformation\alpha -mélangeACP fonctionnellelinéarisationFunctional PCAQuantiles géométriquesfonction d'influenceGeometric quantilesconditional geometric quantiles[MATH]Mathematics [math]survey samplingquantiles géométriques conditionnelslinerization
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Unfolding of saddle-nodes and their Dulac time

2016

Altres ajuts: UNAB10-4E-378, co-funded by ERDF "A way to build Europe" and by the French ANR-11-BS01-0009 STAAVF. In this paper we study unfoldings of saddle-nodes and their Dulac time. By unfolding a saddle-node, saddles and nodes appear. In the first result (Theorem A) we give a uniform asymptotic expansion of the trajectories arriving at the node. Uniformity is with respect to all parameters including the unfolding parameter bringing the node to a saddle-node and a parameter belonging to a space of functions. In the second part, we apply this first result for proving a regularity result (Theorem B) on the Dulac time (time of Dulac map) of an unfolding of a saddle-node. This result is a b…

[ MATH.MATH-DS ] Mathematics [math]/Dynamical Systems [math.DS][MATH.MATH-DS]Mathematics [math]/Dynamical Systems [math.DS]Block (permutation group theory)Dynamical Systems (math.DS)Space (mathematics)01 natural sciencesCombinatoricsQuadratic equationFOS: MathematicsMathematics - Dynamical Systems0101 mathematicsBifurcationSaddleMathematicsPeriod functionApplied MathematicsUnfolding of a saddle-node010102 general mathematics16. Peace & justice010101 applied mathematicsMSC: 34C07Asymptotic expansions34C07Node (circuits)Asymptotic expansionAnalysis
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Compressed Drinfeld associators

2004

Drinfeld associator is a key tool in computing the Kontsevich integral of knots. A Drinfeld associator is a series in two non-commuting variables, satisfying highly complicated algebraic equations - hexagon and pentagon. The logarithm of a Drinfeld associator lives in the Lie algbera L generated by the symbols a,b,c modulo [a,b]=[b,c]=[c,a]. The main result is a description of compressed associators that satisfy the compressed pentagon and hexagon in the quotient L/[[L,L],[L,L]]. The key ingredient is an explicit form of Campbell-Baker-Hausdorff formula in the case when all commutators commute.

[ MATH.MATH-GT ] Mathematics [math]/Geometric Topology [math.GT]Hexagon equationPure mathematicsCampbell–Baker–Hausdorff formulaKnotLie algebraModuloCompressed Vassiliev invariantsPentagon equation01 natural sciencessymbols.namesakeMathematics - Geometric TopologyChord diagramsExtended Bernoulli numbers[MATH.MATH-GT]Mathematics [math]/Geometric Topology [math.GT]Mathematics::Quantum Algebra0103 physical sciencesLie algebraMathematics - Quantum AlgebraFOS: MathematicsQuantum Algebra (math.QA)0101 mathematicsAlgebraic numberBernoulli numberQuotientMathematics[MATH.MATH-GT] Mathematics [math]/Geometric Topology [math.GT]Zeta functionDiscrete mathematics[MATH.MATH-QA] Mathematics [math]/Quantum Algebra [math.QA]Algebra and Number TheoryVassiliev invariants[ MATH.MATH-QA ] Mathematics [math]/Quantum Algebra [math.QA]Drinfeld associator57M25 57M27 11B68 17B01010102 general mathematicsAssociatorQuantum algebraGeometric Topology (math.GT)Kontsevich integralRiemann zeta functionsymbols[MATH.MATH-QA]Mathematics [math]/Quantum Algebra [math.QA]Compressed associator010307 mathematical physicsBernoulli numbers
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Birman's conjecture for singular braids on closed surfaces

2003

Let M be a closed oriented surface of genus g≥1, let Bn(M) be the braid group of M on n strings, and let SBn(M) be the corresponding singular braid monoid. Our purpose in this paper is to prove that the desingularization map η : SBn(M)→ℤ[Bn(M)], introduced in the definition of the Vassiliev invariants (for braids on surfaces), is injective.

[ MATH.MATH-GT ] Mathematics [math]/Geometric Topology [math.GT]MonoidPure mathematics[ MATH.MATH-GR ] Mathematics [math]/Group Theory [math.GR]Braid group20F36Group Theory (math.GR)01 natural sciences[MATH.MATH-GR]Mathematics [math]/Group Theory [math.GR]Mathematics - Geometric TopologyMathematics::Group Theory[MATH.MATH-GT]Mathematics [math]/Geometric Topology [math.GT]Mathematics::Category TheoryMathematics::Quantum AlgebraGenus (mathematics)0103 physical sciencesFOS: MathematicsBraid0101 mathematicsMathematics[MATH.MATH-GT] Mathematics [math]/Geometric Topology [math.GT][MATH.MATH-GR] Mathematics [math]/Group Theory [math.GR]Algebra and Number TheoryConjecture010102 general mathematicsGeometric Topology (math.GT)20F36;57M27Braid theorySurface (topology)Mathematics::Geometric TopologyInjective function57M27010307 mathematical physicsMathematics - Group Theory
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Une approche géométrique du contrôle optimal de l'arc atmosphérique de la navette spatiale

2002

L'objectif de ce travail est de faire quelques remarques géométriques et des calculs préliminaires pour construire l'arc atmosphérique optimal d'une navette spatiale (problème de rentrée sur Terre ou programme d'exploration de Mars). Le système décrivant les trajectoires est de dimension 6, le contrôle est l'angle de gîte cinématique et le coût est l'intégrale du flux thermique. Par ailleurs il y a des contraintes sur l'état (flux thermique, accélération normale et pression dynamique). Notre étude est essentiellement géométrique et fondée sur une évaluation de l'ensemble des états accessibles en tenant compte des contraintes sur l'état. On esquisse une analyse des extrémales du Principe du …

[ MATH.MATH-OC ] Mathematics [math]/Optimization and Control [math.OC]0209 industrial biotechnologyControl and OptimizationAcceleration (differential geometry)02 engineering and technology01 natural sciences020901 industrial engineering & automationDimension (vector space)Applied mathematics49K1570Q050101 mathematicscontrôle optimal avec contraintes sur l'étatMathematicsMars sample return010102 general mathematicsprincipes du minimum[MATH.MATH-OC] Mathematics [math]/Optimization and Control [math.OC]State (functional analysis)arc atmosphériqueMinimum principleComputational MathematicsHeat fluxControl and Systems Engineeringmécanique célesteDynamic pressure[MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC]
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Sensitivity analysis for time optimal orbit transfer

2001

The minimum time transfer of a satellite around the Earth is studied. In order to deal numerically with low thrusts, a new method is introduced: Based on a so-called noncontrollability function, the technique treats the ha1 time as a parameter. The properties of the method arc studied by means of an infinite dimensional sensitivity analysis. The numerical results obtained by this approach for very low thrusts are given

[ MATH.MATH-OC ] Mathematics [math]/Optimization and Control [math.OC]0209 industrial biotechnologyControl and OptimizationApplied Mathematics010102 general mathematicsMinimum timeMathematical analysis[MATH.MATH-OC] Mathematics [math]/Optimization and Control [math.OC]02 engineering and technologyFunction (mathematics)Management Science and Operations ResearchTime optimal01 natural sciencesArc (geometry)020901 industrial engineering & automationControl theoryTransfer (computing)Physics::Space PhysicsOrbit (dynamics)SatelliteSensitivity (control systems)[MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC]0101 mathematicsComputingMilieux_MISCELLANEOUSMathematics
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3D Geosynchronous Transfer of a Satellite: Continuation on the Thrust

2003

The minimum-time transfer of a satellite from a low and eccentric initial orbit toward a high geostationary orbit is considered. This study is preliminary to the analysis of similar transfer cases with more complicated performance indexes (maximization of payload, for instance). The orbital inclination of the spacecraft is taken into account (3D model), and the thrust available is assumed to be very small (e.g. 0.3 Newton for an initial mass of 1500 kg). For this reason, many revolutions are required to achieve the transfer and the problem becomes very oscillatory. In order to solve it numerically, an optimal control model is investigated and a homotopic procedure is introduced, namely cont…

[ MATH.MATH-OC ] Mathematics [math]/Optimization and Control [math.OC]0209 industrial biotechnologyControl and OptimizationContinuous functionApplied MathematicsGeosynchronous orbit[MATH.MATH-OC] Mathematics [math]/Optimization and Control [math.OC]Thrust02 engineering and technologyManagement Science and Operations ResearchOptimal control01 natural sciencesOrbital inclination020901 industrial engineering & automationShooting methodControl theory0103 physical sciencesOrbit (dynamics)Geostationary orbit[MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC]010303 astronomy & astrophysicsComputingMilieux_MISCELLANEOUSMathematics
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Convergence rate of a relaxed inertial proximal algorithm for convex minimization

2018

International audience; In a Hilbert space setting, the authors recently introduced a general class of relaxed inertial proximal algorithms that aim to solve monotone inclusions. In this paper, we specialize this study in the case of non-smooth convex minimization problems. We obtain convergence rates for values which have similarities with the results based on the Nesterov accelerated gradient method. The joint adjustment of inertia, relaxation and proximal terms plays a central role. In doing so, we highlight inertial proximal algorithms that converge for general monotone inclusions, and which, in the case of convex minimization, give fast convergence rates of values in the worst case.

[ MATH.MATH-OC ] Mathematics [math]/Optimization and Control [math.OC]Class (set theory)Control and OptimizationInertial frame of referenceLyapunov analysis0211 other engineering and technologies02 engineering and technologyManagement Science and Operations Research01 natural sciencessymbols.namesakenonsmooth convex minimizationrelaxationweak-convergence0101 mathematics[MATH]Mathematics [math]point algorithmMathematics021103 operations researchWeak convergence[QFIN]Quantitative Finance [q-fin]Applied MathematicsHilbert space[MATH.MATH-OC] Mathematics [math]/Optimization and Control [math.OC]dynamicsmaximally monotone operatorsInertial proximal method010101 applied mathematicsMonotone polygonRate of convergenceConvex optimizationmaximal monotone-operatorssymbolsRelaxation (approximation)[MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC]subdifferential of convex functionsAlgorithm
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Injectivity domain of ellipsoid of revolution. The oblate case.

2010

Study of the convexity of the injectivity domains on an oblate ellipsoid.

[ MATH.MATH-OC ] Mathematics [math]/Optimization and Control [math.OC]Injectivity domainOblate ellipsoidElliptic functions[MATH.MATH-OC] Mathematics [math]/Optimization and Control [math.OC][MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC]53C20
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