Search results for "vector"

showing 10 items of 2660 documents

Building Anosov flows on $3$–manifolds

2014

We prove a result allowing to build (transitive or non-transitive) Anosov flows on 3-manifolds by gluing together filtrating neighborhoods of hyperbolic sets. We give several applications; for example: 1. we build a 3-manifold supporting both of a transitive Anosov vector field and a non-transitive Anosov vector field; 2. for any n, we build a 3-manifold M supporting at least n pairwise different Anosov vector fields; 3. we build transitive attractors with prescribed entrance foliation; in particular, we construct some incoherent transitive attractors; 4. we build a transitive Anosov vector field admitting infinitely many pairwise non-isotopic trans- verse tori.

[ MATH ] Mathematics [math]Pure mathematicsAnosov flowMathematics::Dynamical Systems3–manifolds[ MATH.MATH-DS ] Mathematics [math]/Dynamical Systems [math.DS][MATH.MATH-DS]Mathematics [math]/Dynamical Systems [math.DS]Dynamical Systems (math.DS)$3$–manifolds01 natural sciencesFoliationsSet (abstract data type)MSC: Primary: 37D20 Secondary: 57M9957M99Diffeomorphisms0103 physical sciencesAttractorFOS: Mathematics0101 mathematics[MATH]Mathematics [math]Mathematics - Dynamical SystemsManifoldsMathematics::Symplectic Geometry3-manifold37D20 57MMathematicsTransitive relation37D20010308 nuclear & particles physics010102 general mathematicsTorusMathematics::Geometric TopologyFlow (mathematics)Anosov flowsFoliation (geology)Vector fieldhyperbolic plugsGeometry and Topologyhyperbolic basic set3-manifold
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Integrability and Non Integrability of Some n Body Problems

2016

International audience; We prove the non integrability of the colinear 3 and 4 body problem, for any positive masses. To deal with resistant cases, we present strong integrability criterions for 3 dimensional homogeneous potentials of degree −1, and prove that such cases cannot appear in the 4 body problem. Following the same strategy, we present a simple proof of non integrability for the planar n body problem. Eventually, we present some integrable cases of the n body problem restricted to some invariant vector spaces.

[ MATH ] Mathematics [math]Pure mathematicsDegree (graph theory)Integrable systemCentral configurationsn-body problem[ PHYS.ASTR ] Physics [physics]/Astrophysics [astro-ph]010102 general mathematicsMathematical analysisDifferential Galois theory01 natural sciences010101 applied mathematicsDifferential Galois theoryHomogeneousSimple (abstract algebra)Integrable systems0101 mathematicsInvariant (mathematics)[MATH]Mathematics [math]Homogeneous potentialMorales-Ramis theory[PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph]MathematicsVector space
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Free vs. Locally Free Kleinian Groups

2015

Abstract We prove that Kleinian groups whose limit sets are Cantor sets of Hausdorff dimension < < 1 are free. On the other hand we construct for any ε > > 0 an example of a non-free purely hyperbolic Kleinian group whose limit set is a Cantor set of Hausdorff dimension < < 1 + + ε.

[ MATH.MATH-GT ] Mathematics [math]/Geometric Topology [math.GT]0209 industrial biotechnologyPure mathematicsMathematics::Dynamical SystemsGeneral MathematicsMathematics::General TopologyGroup Theory (math.GR)02 engineering and technology01 natural sciencesMathematics - Geometric Topology020901 industrial engineering & automationDimension (vector space)[MATH.MATH-GT]Mathematics [math]/Geometric Topology [math.GT]FOS: MathematicsLimit (mathematics)topologia0101 mathematicsMathematicsApplied Mathematics010102 general mathematicsryhmäteoriaGeometric Topology (math.GT)16. Peace & justiceMathematics::Geometric TopologyKleinian groupsCantor setTheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGESHausdorff dimensionComputingMethodologies_DOCUMENTANDTEXTPROCESSINGLimit setMathematics - Group Theory
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Finite index subgroups of mapping class groups

2011

Let g ≥ 3 and n ≥ 0, and let Mg,n be the mapping class group of a surface of genus g with n boundary components. We prove that Mg,n contains a unique subgroup of index 2g−1(2g − 1) up to conjugation, a unique subgroup of index 2g−1(2g + 1) up to conjugation, and the other proper subgroups ofMg,n are of index greater than 2g−1(2g+1). In particular, the minimum index for a proper subgroup of Mg,n is 2g−1(2g − 1). AMS Subject Classification. Primary: 57M99. Secondary: 20G40, 20E28. 0 Introduction and statement of results The interaction between mapping class groups and finite groups has long been a topic of interest. The famous Hurwitz bound of 1893 showed that the mapping class group of a clo…

[ MATH.MATH-GT ] Mathematics [math]/Geometric Topology [math.GT][ MATH.MATH-GR ] Mathematics [math]/Group Theory [math.GR]General MathematicsGroup Theory (math.GR)01 natural sciencesUpper and lower bounds[MATH.MATH-GR]Mathematics [math]/Group Theory [math.GR]CombinatoricsMathematics - Geometric Topologysymbols.namesake57M99SubgroupGenus (mathematics)[MATH.MATH-GT]Mathematics [math]/Geometric Topology [math.GT]0103 physical sciencesFOS: MathematicsOrder (group theory)0101 mathematicsQuotientMathematicsRiemann surface010102 general mathematicsGeometric Topology (math.GT)Mapping class groupOrientation (vector space)symbols010307 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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Topological Hopf algebras, quantum groups and deformation quantization

2003

After a presentation of the context and a brief reminder of deformation quantization, we indicate how the introduction of natural topological vector space topologies on Hopf algebras associated with Poisson Lie groups, Lie bialgebras and their doubles explains their dualities and provides a comprehensive framework. Relations with deformation quantization and applications to the deformation quantization of symmetric spaces are described

[ MATH.MATH-QA ] Mathematics [math]/Quantum Algebra [math.QA]quantum groups[ MATH.MATH-MP ] Mathematics [math]/Mathematical Physics [math-ph]FOS: Physical sciences[ MATH.MATH-SG ] Mathematics [math]/Symplectic Geometry [math.SG]topological vector spacesMathematical Physics (math-ph)[MATH.MATH-SG]Mathematics [math]/Symplectic Geometry [math.SG]deformation quantizationMathematics - Symplectic GeometryHopf algebras54C40 14E20 (primary) 46E25 20C20 (secondary)[MATH.MATH-MP]Mathematics [math]/Mathematical Physics [math-ph]Mathematics::Quantum AlgebraMathematics - Quantum AlgebraFOS: Mathematics[MATH.MATH-QA]Mathematics [math]/Quantum Algebra [math.QA]Quantum Algebra (math.QA)Symplectic Geometry (math.SG)Mathematical Physics
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3D Displacements and Strains Solid Measurement based on the Surface Texture with a Scanner Laser

2013

International audience; The developments of non-contact measurement are today widely due to the unprecedented progress of optronic. The applications of these techniques are wide and varied for the 3D measurement of industrial products. In addition to the forms and dimensions, we show in this paper that the devices of laser scanning permit to measure displacements and deformations. In this case, it is necessary to follow a solid particle in its motion. It is then necessary to identify the particle between two configurations of the body before and after displacement. The method of greyscale patterns, obtained by applying a spray, is generally used. The originality of the proposed method is ba…

[ SPI.MECA.GEME ] Engineering Sciences [physics]/Mechanics [physics.med-ph]/Mechanical engineering [physics.class-ph]0209 industrial biotechnologyScannerMaterials scienceLaser scanningPoint cloud[PHYS.MECA.GEME]Physics [physics]/Mechanics [physics]/Mechanical engineering [physics.class-ph]02 engineering and technologySurface finishMetrology01 natural sciencesGrayscaleDisplacement (vector)010309 optics020901 industrial engineering & automation0103 physical sciencesPoint (geometry)Computer vision3D strain measurementLaser scanningGeneral Environmental SciencePixelbusiness.industry[SPI.MECA.GEME]Engineering Sciences [physics]/Mechanics [physics.med-ph]/Mechanical engineering [physics.class-ph][ PHYS.MECA.GEME ] Physics [physics]/Mechanics [physics]/Mechanical engineering [physics.class-ph]General Earth and Planetary SciencesArtificial intelligencebusinessProcedia CIRP
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Strain fields measurement of non-rigid solid by scanning laser coupled with camera

2013

International audience; Abstract. Today, the techniques of measurement without contact by scanning laser are increasingly used. These techniques allow to measure 3D objects without contact and the measurement rates can reach few thousand points by second that is very adapted to complex shapes. To measure displacements and deformations, it is necessary to follow a solid particle in its motion between two configurations of the body before and after displacement. The method of stereovision based on grayscale patterns, obtained by applying a spray, is generally used. The results are obtained by two correlations: spatial and temporal correlations. An alternative method consists to use a scanner …

[ SPI.MECA.GEME ] Engineering Sciences [physics]/Mechanics [physics.med-ph]/Mechanical engineering [physics.class-ph]ScannerLaser scanningComputer sciencePoint cloudelastic Body02 engineering and technology01 natural sciencesGrayscaleDisplacement (vector)law.invention010309 optics0203 mechanical engineeringlawPosition (vector)0103 physical sciencesComputer visionstrain measurement[SPI.MECA.GEME] Engineering Sciences [physics]/Mechanics [physics.med-ph]/Mechanical engineering [physics.class-ph]Scanner Laserbusiness.industryLaser[SPI.MECA.GEME]Engineering Sciences [physics]/Mechanics [physics.med-ph]/Mechanical engineering [physics.class-ph]020303 mechanical engineering & transportsArtificial intelligenceCubebusiness
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Polyamines and applications. A look at the first workshop in linear and cyclic polyamines chemistry

2008

Given their versatile coordination properties, cyclic and linear polyamines are the subject of numerous worksin many research groups. This great interest is mainly related to their use in diverse fields such as removalof metals from liquids, purification of gases, application in catalysis, in sensors, as well as in various probesfor medical applications. This paper summarizes recent results obtained by the French research groupswhich attended the first ìworkshop in linear and cyclic polyamines chemistryî.

[CHIM.INOR] Chemical Sciences/Inorganic chemistryPolyamines cycliquescoordinationco ordinationextraction/puri fication[CHIM.INOR]Chemical Sciences/Inorganic chemistrycatalysehybrid materials.[ CHIM.ORGA ] Chemical Sciences/Organic chemistryCyclic polyaminesluminescence[CHIM.COOR]Chemical Sciences/Coordination chemistrylinear polyaminescomplexesvectorisationcatalysisextraction/Èpur ation[CHIM.ORGA]Chemical Sciences/Organic chemistrymatÈriaux hybrides[ CHIM.COOR ] Chemical Sciences/Coordination chemistry[ CHIM.INOR ] Chemical Sciences/Inorganic chemistry[CHIM.COOR] Chemical Sciences/Coordination chemistryIR M[CHIM.ORGA] Chemical Sciences/Organic chemistrypolyamines linÈairesMRI
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Enhancement and assessment of WKS variance parameter for intelligent 3D shape recognition and matching based on MPSO

2016

This paper presents an improved wave kernel signature (WKS) using the modified particle swarm optimization (MPSO)-based intelligent recognition and matching on 3D shapes. We select the first feature vector from WKS, which represents the 3D shape over the first energy scale. The choice of this vector is to reinforce robustness against non-rigid 3D shapes. Furthermore, an optimized WKS-based method for extracting key-points from objects is introduced. Due to its discriminative power, the associated optimized WKS values with each point remain extremely stable, which allows for efficient salient features extraction. To assert our method regarding its robustness against topological deformations,…

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI][ INFO ] Computer Science [cs]Matching (graph theory)Feature vectorComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION02 engineering and technology[INFO] Computer Science [cs][ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV][INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]Kernel (linear algebra)[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Discriminative modelRobustness (computer science)0202 electrical engineering electronic engineering information engineeringFeature (machine learning)[INFO]Computer Science [cs][ INFO.INFO-AI ] Computer Science [cs]/Artificial Intelligence [cs.AI]ComputingMilieux_MISCELLANEOUSMathematicsbusiness.industryParticle swarm optimization[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]020207 software engineeringPattern recognition020201 artificial intelligence & image processingArtificial intelligencebusinessEnergy (signal processing)
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