Search results for "linear"

showing 10 items of 7165 documents

Ab initio calculations of pure and Co+2-doped MgF2 crystals

2020

This research was partly supported by the Kazakhstan Science Project № AP05134367«Synthesis of nanocrystals in track templates of SiO2/Si for sensory, nano- and optoelectronic applications», as well as by Latvian Research Council project lzp-2018/1-0214. Calculations were performed on Super Cluster (LASC) in the Institute of Solid State Physics (ISSP) of the University of Latvia. Authors are indebted to S. Piskunov for stimulating discussions.

AB INITIO CALCULATIONSNuclear and High Energy PhysicsMaterials scienceSpin statesBand gapAb initioENERGY GAP02 engineering and technologyFLUORINE COMPOUNDS01 natural sciences7. Clean energyMolecular physicsAb initio quantum chemistry methodsCobalt dopant0103 physical sciencesPhysics::Atomic and Molecular Clusters:NATURAL SCIENCES:Physics [Research Subject Categories]MgF2010306 general physicsFluorideInstrumentationCOBALT DOPANTSDopantCRYSTAL ATOMIC STRUCTUREDopingCOBALT COMPOUNDSMAGNESIUM COMPOUNDSDOPANT ENERGY LEVELS021001 nanoscience & nanotechnologyVIBRATIONAL STRUCTURESCALCULATIONSCRYSTALSGROUND STATELinear combination of atomic orbitalsCELL PROLIFERATIONAb initioGROUND STATE LEVELS0210 nano-technologyGround state
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On the arithmetic and geometry of binary Hamiltonian forms

2011

Given an indefinite binary quaternionic Hermitian form $f$ with coefficients in a maximal order of a definite quaternion algebra over $\mathbb Q$, we give a precise asymptotic equivalent to the number of nonequivalent representations, satisfying some congruence properties, of the rational integers with absolute value at most $s$ by $f$, as $s$ tends to $+\infty$. We compute the volumes of hyperbolic 5-manifolds constructed by quaternions using Eisenstein series. In the Appendix, V. Emery computes these volumes using Prasad's general formula. We use hyperbolic geometry in dimension 5 to describe the reduction theory of both definite and indefinite binary quaternionic Hermitian forms.

AMS : 11E39 20G20 11R52 53A35 11N45 15A21 11F06 20H10representation of integersHyperbolic geometry20H10Geometry15A2101 natural sciencesHyperbolic volume[MATH.MATH-GR]Mathematics [math]/Group Theory [math.GR]11E39 20G20 11R52 53A35 11N45 15A21 11F06 20H10symbols.namesake11E390103 physical sciencesEisenstein seriesCongruence (manifolds)group of automorphs0101 mathematics20G20Quaternion11R52[MATH.MATH-GR] Mathematics [math]/Group Theory [math.GR]Mathematicsreduction theoryDiscrete mathematicsAlgebra and Number TheoryQuaternion algebraMathematics - Number TheorySesquilinear formta111010102 general mathematicsHamilton-Bianchi groupHermitian matrix53A35[MATH.MATH-NT]Mathematics [math]/Number Theory [math.NT]11F06[MATH.MATH-DG]Mathematics [math]/Differential Geometry [math.DG]symbols010307 mathematical physicsMathematics::Differential Geometry[MATH.MATH-DG] Mathematics [math]/Differential Geometry [math.DG]Hamilton–Bianchi group11N45binary Hamiltonian formhyperbolic volume[MATH.MATH-NT] Mathematics [math]/Number Theory [math.NT]
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An alternative conception of PM10 concentration changes after short-term precipitation in urban environment

2018

Abstract In the article, a linear model is presented which describes a reduction of PM10 mass concentration in relation to the type of precipitation and water vapour content in the air. The model was built using covariance analysis. In studies of PM10 concentration changes, the results of 247 observations were used, which were carried out in the urban area. Concentration changes were archived during short-term (30 min) convection and large-scale rainfalls. For the determination of PM10 mass concentration, the reference method was used. To describe changes in PM10 concentration in the air after precipitation, a series of linear models were created, in which the explanatory variables were: th…

ANCOVAFluid Flow and Transfer ProcessesAtmospheric ScienceEnvironmental EngineeringCoefficient of determination010504 meteorology & atmospheric sciencesTroposphereRainLinear modelMechanical EngineeringLinear modelHumidity010501 environmental sciencesParticulatesAtmospheric sciences01 natural sciencesPollutionSnowHomoscedasticityEnvironmental scienceMass concentration (chemistry)PrecipitationAerosolWater vapor0105 earth and related environmental sciencesJournal of Aerosol Science
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Using the Johnson-Neyman Procedure to Detect Item Bias in Personality Tests

2016

I present an alternative to a widely used item-bias analysis procedure known as the ANOVA method. The new method is based on the Johnson-Neyman procedure, which is a multiple regression-based technique with properties that can overcome the major weaknesses of the ANOVA method. I introduce the proposed procedure in a non-technical manner, provide an illustrative example, and suggest guidelines for empirical analysis that can be readily applied in personality research.

ANOVAItem biasmedia_common.quotation_subject05 social sciencesitem biasItem Response Theory (IRT)050109 social psychologyPersonality researchDifferential item functioningJohnson-Neyman0502 economics and businessLinear regressionStatisticsdifferential item functioningPersonality050211 marketing0501 psychology and cognitive sciencesPsychologyApplied Psychologymedia_common
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A generalization of Françoise's algorithm for calculating higher order Melnikov functions

2002

Abstract In [J. Differential Equations 146 (2) (1998) 320–335], Francoise gives an algorithm for calculating the first nonvanishing Melnikov function Ml of a small polynomial perturbation of a Hamiltonian vector field and shows that Ml is given by an Abelian integral. This is done under the condition that vanishing of an Abelian integral of any polynomial form ω on the family of cycles implies that the form is algebraically relatively exact. We study here a simple example where Francoise's condition is not verified. We generalize Francoise's algorithm to this case and we show that Ml belongs to the C [ log t,t,1/t] module above the Abelian integrals. We also establish the linear differentia…

Abelian integralMathematics(all)Hamiltonian vector fieldMelnikov functionDifferential equationGeneral MathematicsAbelian integralLimit cycleAbelian integral; Melnikov function; Limit cycle; Fuchs systemHamiltonian systemFuchs systemVector fieldAbelian groupAlgorithmHamiltonian (control theory)Linear equationMathematicsBulletin des Sciences Mathématiques
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A note on higher order Melnikov functions

2005

We present several classes of planar polynomial Hamilton systems and their polynomial perturbations leading to vanishing of the first Melnikov integral. We discuss the form of higher order Melnikov integrals. In particular, we present new examples where the second order Melnikov integral is not an Abelian integral.

Abelian integralPolynomialPure mathematicsMathematics::Dynamical SystemsApplied MathematicsMathematical analysisMathematics::Classical Analysis and ODEsPhysics::Fluid DynamicsNonlinear Sciences::Chaotic DynamicsPlanarDiscrete Mathematics and CombinatoricsOrder (group theory)Nonlinear Sciences::Pattern Formation and SolitonsMathematicsQualitative Theory of Dynamical Systems
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Principal Poincar\'e Pontryagin Function associated to some families of Morse real polynomials

2014

It is known that the Principal Poincar\'e Pontryagin Function is generically an Abelian integral. We give a sufficient condition on monodromy to ensure that it is an Abelian integral also in non generic cases. In non generic cases it is an iterated integral. Uribe [17, 18] gives in a special case a precise description of the Principal Poincar\'e Pontryagin Function, an iterated integral of length at most 2, involving logarithmic functions with only one ramification at a point at infinity. We extend this result to some non isodromic families of real Morse polynomials.

Abelian integralPure mathematicsLogarithmApplied Mathematics34M35 34C08 14D05General Physics and AstronomyStatistical and Nonlinear PhysicsMorse codelaw.inventionPontryagin's minimum principlesymbols.namesakeMonodromylawPoincaré conjecturesymbolsPoint at infinitySpecial caseMathematics - Dynamical SystemsMathematical PhysicsMathematics
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Modelling temperature-dependent dynamics of single and mixed infections in a plant virus

2022

Multiple viral infection is an important issue in health and agriculture with strong impacts on society and the economy. Several investigations have dealt with the population dynamics of viruses with different dynamic properties, focusing on strain competition during multiple infections and the effects on viruses’ hosts. Recent interest has been on how multiple infections respond to abiotic factors such as temperature (T). This is especially important in the case of plant pathogens, whose dynamics could be affected significantly by global warming. However, few mathematical models incorporate the effect of T on parasite fitness, especially in mixed infections. Here, we investigate simple mat…

Abiotic componenteducation.field_of_studybiologyMathematical modelCo-infection dynamicsApplied Mathematicsmedia_common.quotation_subjectPopulationTranscritical bifurcationsRNA virusAbiotic stressbiology.organism_classificationCompetition (biology)BifurcationsCompetition modelTranscritical bifurcationThermal reaction normsEvolutionary biologyNonlinear dynamicsModeling and SimulationPlant virusDynamical systemseducationmedia_commonApplied Mathematical Modelling
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ON THE CALCULATION OF THE HEAT CAPACITY IN PATH INTEGRAL MONTE CARLO SIMULATIONS

1992

In Path Integral Monte Carlo simulations the systems partition function is mapped to an equivalent classical one at the expense of a temperature-dependent Hamiltonian with an additional imaginary time dimension. As a consequence the standard relation linking the heat capacity Cv to the energy fluctuations, <E2>−<E>2, which is useful in standard classical problems with temperature-independent Hamiltonian, becomes invalid. Instead, it gets replaced by the general relation [Formula: see text] for the intensive heat capacity estimator; β being the inverse temperature and the subscript P indicates the P-fold discretization in the imaginary time direction. This heatcapacity estimator…

Absolute magnitudeDiscretizationGeneral Physics and AstronomyEstimatorStatistical and Nonlinear PhysicsHeat capacityImaginary timeComputer Science Applicationssymbols.namesakeComputational Theory and MathematicsQuantum mechanicssymbolsStatistical physicsHamiltonian (quantum mechanics)QuantumMathematical PhysicsPath integral Monte CarloMathematicsInternational Journal of Modern Physics C
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Absolute measurement of quadratic nonlinearities from phase-matched second-harmonic generation in a single KTP crystal cut as a sphere

1997

We determine within an accuracy of ∼10% the absolute magnitude of the quadratic effective coefficients of types I and II phase-matched second-harmonic generation from conversion efficiency measurements in a single nonlinear crystal cut as a sphere. The agreement is good with measurements performed in thin parallelepipedal samples. The material studied is KTiOPO4, for which improved Sellmeier equations are given.

Absolute magnitudePhysicsbusiness.industryMathematical analysisEnergy conversion efficiencyPhase (waves)Second-harmonic generationStatistical and Nonlinear PhysicsAtomic and Molecular Physics and OpticsCrystalNonlinear systemQuadratic equationOpticsbusinessRefractive indexJournal of the Optical Society of America B
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