Search results for "FOS: Mathematics"

showing 10 items of 1448 documents

Two-dimensional Banach spaces with polynomial numerical index zero

2009

We study two-dimensional Banach spaces with polynomial numerical indices equal to zero.

/dk/atira/pure/subjectarea/asjc/2600/2608/dk/atira/pure/subjectarea/asjc/2600/2607Eberlein–Šmulian theoremBanach manifoldFinite-rank operatorPolynomialMatrix polynomialFOS: MathematicsDiscrete Mathematics and Combinatorics/dk/atira/pure/subjectarea/asjc/2600/2602C0-semigroupLp spaceMathematicsMathematics::Functional AnalysisNumerical AnalysisBanach spaceAlgebra and Number TheoryMathematical analysisFunctional Analysis (math.FA)Mathematics - Functional Analysis46B04 (Primary) 46B20 46G25 47A12 (Secondary)Polynomial numerical indexInterpolation space/dk/atira/pure/subjectarea/asjc/2600/2612Geometry and TopologyNumerical rangeMonic polynomialLinear Algebra and its Applications
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Derivation of a Homogenized Two-Temperature Model from the Heat Equation

2014

This work studies the heat equation in a two-phase material with spherical inclusions. Under some appropriate scaling on the size, volume fraction and heat capacity of the inclusions, we derive a coupled system of partial differential equations governing the evolution of the temperature of each phase at a macroscopic level of description. The coupling terms describing the exchange of heat between the phases are obtained by using homogenization techniques originating from [D. Cioranescu, F. Murat: Coll\`ege de France Seminar vol. 2. (Paris 1979-1980) Res. Notes in Math. vol. 60, pp. 98-138. Pitman, Boston, London, 1982.]

01 natural sciencesHomogenization (chemistry)Heat capacity010305 fluids & plasmasTwo temperatureMathematics - Analysis of PDEsThermal nonequilibrium models0103 physical sciencesFOS: Mathematics[MATH.MATH-AP]Mathematics [math]/Analysis of PDEs [math.AP]0101 mathematicsScalingMSC 35K05 35B2776T05 (35Q79 76M50)35K05 35B27 76T05 (35Q79 76M50)MathematicsNumerical AnalysisHomogenizationPartial differential equationInfinite diffusion limitApplied MathematicsHeat equationMathematical analysis010101 applied mathematicsComputational MathematicsThermal non-equilibrium modelsModeling and SimulationVolume fractionHeat equationAnalysisAnalysis of PDEs (math.AP)
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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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Inverse problems for $p$-Laplace type equations under monotonicity assumptions

2016

We consider inverse problems for $p$-Laplace type equations under monotonicity assumptions. In two dimensions, we show that any two conductivities satisfying $\sigma_1 \geq \sigma_2$ and having the same nonlinear Dirichlet-to-Neumann map must be identical. The proof is based on a monotonicity inequality and the unique continuation principle for $p$-Laplace type equations. In higher dimensions, where unique continuation is not known, we obtain a similar result for conductivities close to constant.

010101 applied mathematicsunique continuation principleMathematics - Analysis of PDEsinverse problems010102 general mathematicsFOS: MathematicsDirichlet-to-Neumann map35J92 35R300101 mathematics01 natural sciencesp-Laplace equationinversio-ongelmatAnalysis of PDEs (math.AP)
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Vertical versus horizontal Sobolev spaces

2020

Let $\alpha \geq 0$, $1 < p < \infty$, and let $\mathbb{H}^{n}$ be the Heisenberg group. Folland in 1975 showed that if $f \colon \mathbb{H}^{n} \to \mathbb{R}$ is a function in the horizontal Sobolev space $S^{p}_{2\alpha}(\mathbb{H}^{n})$, then $\varphi f$ belongs to the Euclidean Sobolev space $S^{p}_{\alpha}(\mathbb{R}^{2n + 1})$ for any test function $\varphi$. In short, $S^{p}_{2\alpha}(\mathbb{H}^{n}) \subset S^{p}_{\alpha,\mathrm{loc}}(\mathbb{R}^{2n + 1})$. We show that the localisation can be omitted if one only cares for Sobolev regularity in the vertical direction: the horizontal Sobolev space $S_{2\alpha}^{p}(\mathbb{H}^{n})$ is continuously contained in the vertical Sobolev sp…

010102 general mathematicsMetric Geometry (math.MG)Function (mathematics)Lipschitz continuity01 natural sciencesFunctional Analysis (math.FA)Fractional calculusSobolev spaceCombinatoricsMathematics - Functional AnalysisMathematics - Metric GeometryMathematics - Classical Analysis and ODEsBounded function0103 physical sciencesVertical directionClassical Analysis and ODEs (math.CA)FOS: MathematicsHeisenberg groupOrder (group theory)010307 mathematical physics0101 mathematics46E35 (Primary) 26A33 35R03 43A15 (Secondary)AnalysisMathematics
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Adjacency matrices of random digraphs: singularity and anti-concentration

2017

Let ${\mathcal D}_{n,d}$ be the set of all $d$-regular directed graphs on $n$ vertices. Let $G$ be a graph chosen uniformly at random from ${\mathcal D}_{n,d}$ and $M$ be its adjacency matrix. We show that $M$ is invertible with probability at least $1-C\ln^{3} d/\sqrt{d}$ for $C\leq d\leq cn/\ln^2 n$, where $c, C$ are positive absolute constants. To this end, we establish a few properties of $d$-regular directed graphs. One of them, a Littlewood-Offord type anti-concentration property, is of independent interest. Let $J$ be a subset of vertices of $G$ with $|J|\approx n/d$. Let $\delta_i$ be the indicator of the event that the vertex $i$ is connected to $J$ and define $\delta = (\delta_1, …

0102 computer and information sciences01 natural scienceslittlewood–offord theory60C05 60B20 05C80 15B52 46B06law.inventionCombinatoricsSingularityanti-concentrationlawFOS: MathematicsMathematics - CombinatoricsAdjacency matrix0101 mathematicsMathematicsinvertibility of random matricesApplied Mathematics010102 general mathematicsProbability (math.PR)random regular graphsDirected graphsingular probabilityGraphVertex (geometry)Invertible matrix010201 computation theory & mathematicsadjacency matricesCombinatorics (math.CO)Mathematics - ProbabilityAnalysis
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Stochastic Galerkin method for cloud simulation

2018

AbstractWe develop a stochastic Galerkin method for a coupled Navier-Stokes-cloud system that models dynamics of warm clouds. Our goal is to explicitly describe the evolution of uncertainties that arise due to unknown input data, such as model parameters and initial or boundary conditions. The developed stochastic Galerkin method combines the space-time approximation obtained by a suitable finite volume method with a spectral-type approximation based on the generalized polynomial chaos expansion in the stochastic space. The resulting numerical scheme yields a second-order accurate approximation in both space and time and exponential convergence in the stochastic space. Our numerical results…

010504 meteorology & atmospheric sciencesComputer scienceuncertainty quantificationQC1-999cloud dynamicsFOS: Physical sciencesCloud simulation65m15010103 numerical & computational mathematics01 natural sciencespattern formationMeteorology. ClimatologyFOS: MathematicsApplied mathematicsMathematics - Numerical Analysis0101 mathematicsStochastic galerkin0105 earth and related environmental sciencesnavier-stokes equationsPhysics65m2565l05Numerical Analysis (math.NA)65m06Computational Physics (physics.comp-ph)stochastic galerkin method35l4535l65finite volume schemesQC851-999Physics - Computational Physicsimex time discretization
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Darboux integrable system with a triple point and pseudo-abelian integrals

2016

We study pseudo-abelian integrals associated with polynomial perturbations of Dar-boux integrable system with a triple point. Under some assumptions we prove the local boundedness of the number of their zeros. Assuming that this is the only non-genericity, we prove that the number of zeros of the corresponding pseudo-abelian integrals is bounded uniformly for nearby Darboux integrable foliations.

0209 industrial biotechnologyPure mathematicsControl and OptimizationIntegrable systemTriple pointAbelian integrals[ MATH.MATH-DS ] Mathematics [math]/Dynamical Systems [math.DS]Darboux integrability[MATH.MATH-DS]Mathematics [math]/Dynamical Systems [math.DS][MATH.MATH-DS] Mathematics [math]/Dynamical Systems [math.DS]Dynamical Systems (math.DS)02 engineering and technologyType (model theory)01 natural sciencesIntegrating factor020901 industrial engineering & automationFOS: MathematicsLimit Cycle0101 mathematicsAbelian groupMathematics - Dynamical Systems34C07 34C08MathematicsNumerical AnalysisAlgebra and Number Theory010102 general mathematicsMathematical analysisLimit cyclesMathematics Subject ClassificationControl and Systems EngineeringBounded functionFoliation (geology)
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Multiple steady states and the form of response functions to antigen in a model for the initiation of T cell activation

2017

The aim of this paper is to study the qualitative behaviour predicted by a mathematical model for the initial stage of T-cell activation. The state variables in the model are the concentrations of phosphorylation states of the T-cell receptor (TCR) complex and the phosphatase SHP-1 in the cell. It is shown that these quantities cannot approach zero and that the model possesses more than one positive steady state for certain values of the parameters. It can also exhibit damped oscillations. It is proved that the chemical concentration which represents the degree of activation of the cell, that of the maximally phosphorylated form of the TCR complex, is, in general, a non-monotone function of…

0301 basic medicineState variable1004T cellMolecular Networks (q-bio.MN)PhosphatasemultistationarityDynamical Systems (math.DS)24Dissociation (chemistry)immunology03 medical and health sciences119medicineFOS: Mathematics1008Quantitative Biology - Molecular NetworksMathematics - Dynamical Systemslcsh:ScienceReceptort cellsMultidisciplinaryChemistryT-cell receptor92C37Dissociation constant030104 developmental biologymedicine.anatomical_structureFOS: Biological sciencesBiophysicsPhosphorylationlcsh:QMathematicsResearch Article
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Sustained oscillations in the MAP kinase cascade.

2016

Abstract The MAP kinase cascade is a network of enzymatic reactions arranged in layers. In each layer occurs a multiple futile cycle of phosphorylations. The fully phosphorylated substrate then serves as an enzyme for the layer below. This paper focuses on the existence of parameters for which Hopf bifurcations occur and generate periodic orbits. Furthermore it is explained how geometric singular perturbation theory allows to generalize results from simple models to more complex ones.

0301 basic medicineStatistics and ProbabilitySingular perturbationDynamical systems theoryMolecular Networks (q-bio.MN)Dynamical Systems (math.DS)MAP kinase cascadeGeneral Biochemistry Genetics and Molecular BiologyQuantitative Biology::Subcellular Processes03 medical and health sciencessymbols.namesakeSimple (abstract algebra)Classical Analysis and ODEs (math.CA)FOS: MathematicsQuantitative Biology - Molecular NetworksSustained oscillationsMathematics - Dynamical SystemsHopf bifurcationPhysics030102 biochemistry & molecular biologyGeneral Immunology and MicrobiologyFutile cycleApplied MathematicsQuantitative Biology::Molecular NetworksGeneral Medicine030104 developmental biologyClassical mechanicsMathematics - Classical Analysis and ODEsModeling and SimulationFOS: Biological sciencessymbolsPeriodic orbitsGeneral Agricultural and Biological SciencesMathematical biosciences
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