Search results for "COMPOSITION"

showing 10 items of 2675 documents

Extensions and corona decompositions of low-dimensional intrinsic Lipschitz graphs in Heisenberg groups

2020

This note concerns low-dimensional intrinsic Lipschitz graphs, in the sense of Franchi, Serapioni, and Serra Cassano, in the Heisenberg group $\mathbb{H}^n$, $n\in \mathbb{N}$. For $1\leq k\leq n$, we show that every intrinsic $L$-Lipschitz graph over a subset of a $k$-dimensional horizontal subgroup $\mathbb{V}$ of $\mathbb{H}^n$ can be extended to an intrinsic $L'$-Lipschitz graph over the entire subgroup $\mathbb{V}$, where $L'$ depends only on $L$, $k$, and $n$. We further prove that $1$-dimensional intrinsic $1$-Lipschitz graphs in $\mathbb{H}^n$, $n\in \mathbb{N}$, admit corona decompositions by intrinsic Lipschitz graphs with smaller Lipschitz constants. This complements results that…

01 natural sciencesmatemaattinen analyysiCombinatoricsCorona (optical phenomenon)Mathematics - Metric Geometry0103 physical sciencesHeisenberg groupClassical Analysis and ODEs (math.CA)FOS: MathematicsMathematics::Metric Geometry0101 mathematicsCommutative propertyPhysicsApplied MathematicsHeisenberg groups010102 general mathematicsMetric Geometry (math.MG)Lipschitz continuityGraphcorona decompositionMathematics - Classical Analysis and ODEs35R03 26A16 28A75low-dimensional intrinsic Lipschitz graphs010307 mathematical physicsmittateoriaLipschitz extension
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Une structure o-minimale sans décomposition cellulaire

2008

Resume Nous construisons une extension o-minimale du corps des nombres reels qui n'admet pas la propriete de decomposition cellulaire en classe C ∞ . Pour citer cet article : O. Le Gal, J.-P. Rolin, C. R. Acad. Sci. Paris, Ser. I 346 (2008).

010101 applied mathematicsCombinatorics010102 general mathematicsCell structureGeneral MedicineDecomposition method (constraint satisfaction)0101 mathematicsAlgebraic number field01 natural sciencesMathematicsComptes Rendus Mathematique
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Restricted compositions and permutations: from old to new Gray codes

2011

Any Gray code for a set of combinatorial objects defines a total order relation on this set: x is less than y if and only if y occurs after x in the Gray code list. Let @? denote the order relation induced by the classical Gray code for the product set (the natural extension of the Binary Reflected Gray Code to k-ary tuples). The restriction of @? to the set of compositions and bounded compositions gives known Gray codes for those sets. Here we show that @? restricted to the set of bounded compositions of an interval yields still a Gray code. An n-composition of an interval is an n-tuple of integers whose sum lies between two integers; and the set of bounded n-compositions of an interval si…

0102 computer and information sciences02 engineering and technologyInterval (mathematics)[ MATH.MATH-CO ] Mathematics [math]/Combinatorics [math.CO]01 natural sciencesTheoretical Computer ScienceCombinatoricsGray codePermutationsymbols.namesakeInteger020204 information systems[MATH.MATH-CO]Mathematics [math]/Combinatorics [math.CO]0202 electrical engineering electronic engineering information engineeringComputingMilieux_MISCELLANEOUSMathematicsDiscrete mathematicsExtension (predicate logic)Composition (combinatorics)Cartesian productComputer Science Applications010201 computation theory & mathematicsComputer Science::Computer Vision and Pattern RecognitionBounded functionSignal ProcessingsymbolsInformation Systems
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Neutron scattering and imaging: a tool for archaeological studies

2015

International audience; Neutron scattering and neutron imaging are powerful techniques for studying the structure of objects without damage, which is an essential prerequisite for investigations in Cultural Heritage domain, particularly in Archaeology. The deep penetration of neutrons in most materials allows for the study of relatively large objects. The contrast between similar materials, like metals in alloys, or that due to the presence of hydrogen atoms gives information about the internal structure of objects that have been modified or repaired in the past. Imaging and tomography give a 3-dimensional view of the whole object, permitting discrimination between different parts of the ob…

010302 applied physicsElemental compositionMaterials sciencebusiness.industryNeutron imagingneutron scatteringDeep penetrationQuantitative EvaluationsStructure02 engineering and technologyNeutron scattering021001 nanoscience & nanotechnology01 natural sciencesArchaeology[SPI]Engineering Sciences [physics]OpticsArchaeologyGeochemistry and PetrologyNeutron imaging0103 physical sciencesNeutronPorous materialsTomography0210 nano-technologybusiness
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Zn-substituted iron oxide nanoparticles from thermal decomposition and their thermally treated derivatives for magnetic solid-phase extraction

2020

Abstract Controlled thermal decomposition of zinc and iron acetylacetonates in the presence of oleic acid and oleylamine provided surfactant-capped magnetic nanoparticles with narrow size distribution and the mean diameter of ≈15 nm. The combined study by XRD, XRF and Mossbauer spectroscopy revealed three important features of the as-prepared nanoparticles. First, the actual ratio of Zn:Fe was considerably lower in the product compared to the initial ratio of metal precursors (0.14 vs. 0.50). Second, a pure stoichiometric Zn-doped magnetite system, specifically of the composition Zn0.37Fe2.63O4, with no signatures of oxidation to maghemite was formed. Third, Zn2+ ions were distributed at bo…

010302 applied physicsMaterials scienceInorganic chemistryThermal decompositionMaghemitechemistry.chemical_element02 engineering and technologyThermal treatmentZincengineering.material021001 nanoscience & nanotechnologyCondensed Matter Physics01 natural sciencesElectronic Optical and Magnetic Materialschemistry.chemical_compoundchemistryOleylamine0103 physical sciencesengineeringMagnetic nanoparticles0210 nano-technologyIron oxide nanoparticlesMagnetiteJournal of Magnetism and Magnetic Materials
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The Matrix Effect and Application of the Multi-Parameter Optimization Method for X-Ray Spectrometric Determination of the Quantitative Composition of…

2018

Determining the quantitative composition of clay samples with X-ray fluorescent spectrometry is complicated because of the matrix effect, in which any element can increase or decrease the analytical signals of other elements. In order to predict the properties of clays, it is essential to know their precise chemical composition. Therefore, using the standard addition method was determined calibration and empirical influence coefficients, as well as the true composition of the elements. Farther, these coefficients were used to correct the matrix effect and develop a multi-parameter optimization method. It was determined that in clay samples, consisting of Si, Al, Fe, K, Mg, Ca, Na and Ti oxi…

010302 applied physicsMaterials scienceMechanics of MaterialsMechanical Engineering010401 analytical chemistry0103 physical sciencesAnalytical chemistryX-rayGeneral Materials ScienceComposition (combinatorics)01 natural sciencesMulti parameter0104 chemical sciencesKey Engineering Materials
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X-ray diffraction Warren–Averbach mullite analysis in whiteware porcelains: influence of kaolin raw material

2018

ABSTRACTCompositional and microstructural analysis of mullites in porcelain whitewares obtained by the firing of two blends of identical triaxial composition using a kaolin B consisting of ‘higher-crystallinity’ kaolinite or a finer halloysitic kaolin M of lower crystal order was performed. No significant changes in the average Al2O3 contents (near the stoichiometric composition 3:2) of the mullites were observed. Fast and slow firing at the same temperature using B or M kaolin yielded different mullite contents. The Warren–Averbach method showed increase of the D110 mullite crystallite size and crystallite size distributions with small shifts to greater values with increasing firing temper…

010302 applied physicsMaterials scienceStoichiometric compositionMullite02 engineering and technologyRaw material021001 nanoscience & nanotechnology01 natural sciencesCrystalGeochemistry and Petrology0103 physical sciencesX-ray crystallographyKaoliniteCrystalliteThickeningComposite material0210 nano-technologyClay Minerals
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Ultrasonic nebulization inductively coupled plasma optical emission spectrometry method for wine analysis

2020

Abstract A methodology was developed to determine mineral elements in wines using Inductively Coupled Plasma Optical Emission Spectrometry combined with ultrasonic nebulization. The concentration of 36 elements (Al, B, Ba, Bi, Ca, Cd, Ce, Co, Cr, Dy, Er, Eu, Fe, Gd, K, La, Lu, Mg, Mn, Mo, Na, Nd, Ni, Pb, Pr, Sb, Sc, Sm, Sr, Tb, Ti, Tm, V, Y, Yb, and Zn) was determined in 59 wine samples and used to distinguish between Brazilian and Spanish wines. The best conditions for the plasma were selected using a two-level factorial design: radiofrequency power 1500 W; plasma gas flow rate 15 L min−1; auxiliary 0.70 L min−1; and nebulizer 0.40 L min−1. An exploratory multivariate analysis by Principal…

010302 applied physicsWineRiver valleyChemistry010401 analytical chemistryAnalytical chemistryMineral composition01 natural sciencesAtomic and Molecular Physics and OpticsUltrasonic nebulization0104 chemical sciencesAnalytical ChemistryInductively coupled plasma atomic emission spectroscopy0103 physical sciencesInductively coupled plasmaOptical emission spectrometryInstrumentationSpectroscopySpectrochimica Acta Part B: Atomic Spectroscopy
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Hydrogen bonding interaction of N5H with water: A first principle calculations

2019

Abstract The cyclopentazol (N5H) and its anion counterpart (N5–) have been studied extensively over the years and detected in the gas phase as well as in solution recently. In the present investigation, an attempt has been made to understand the interaction with water molecule using first principle calculations. Nature of interactions have been studied using both energy decomposition analysis and atoms in molecule (AIM) theory calculations. Further, the strength of non-covalent interactions were analysed using IGMplots.

010304 chemical physicsChemistryHydrogen bond010402 general chemistryCondensed Matter PhysicsDecomposition analysis01 natural sciencesBiochemistry0104 chemical sciencesGas phaseIonChemical physics0103 physical sciencesFirst principleMolecule[CHIM]Chemical SciencesPhysical and Theoretical Chemistry
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Introduction to the special issue on molecular spectroscopy, atmospheric composition and climate change

2018

International audience

010304 chemical physicsClimate changeMolecular spectroscopy010402 general chemistryAtmospheric sciences01 natural sciencesAtomic and Molecular Physics and Optics0104 chemical sciences[CHIM.THEO]Chemical Sciences/Theoretical and/or physical chemistryAtmospheric composition13. Climate action0103 physical sciencesEnvironmental sciencePhysical and Theoretical ChemistryComputingMilieux_MISCELLANEOUSSpectroscopyJournal of Molecular Spectroscopy
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