Search results for "FOS: Mathematics"

showing 10 items of 1448 documents

Probabilistic squares and hexagons of opposition under coherence

2017

Various semantics for studying the square of opposition and the hexagon of opposition have been proposed recently. We interpret sentences by imprecise (set-valued) probability assessments on a finite sequence of conditional events. We introduce the acceptability of a sentence within coherence-based probability theory. We analyze the relations of the square and of the hexagon in terms of acceptability. Then, we show how to construct probabilistic versions of the square and of the hexagon of opposition by forming suitable tripartitions of the set of all coherent assessments on a finite sequence of conditional events. Finally, as an application, we present new versions of the square and of the…

Settore MAT/06 - Probabilita' E Statistica MatematicaSquare of opposition02 engineering and technologycoherence conditional events hexagon of opposition imprecise probability square of opposition quantified sentences tripartition01 natural sciencesSquare (algebra)Theoretical Computer ScienceSet (abstract data type)Probability theoryArtificial IntelligenceFOS: Mathematics0202 electrical engineering electronic engineering information engineering0101 mathematicsMathematicsApplied MathematicsProbability (math.PR)010102 general mathematicsProbabilistic logicMathematics - LogicCoherence (statistics)Settore MAT/01 - Logica MatematicaImprecise probabilityAlgebra03b48020201 artificial intelligence & image processingLogic (math.LO)AlgorithmMathematics - ProbabilitySoftwareSentence
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Polynomial mapped bases: theory and applications

2022

Abstract In this paper, we collect the basic theory and the most important applications of a novel technique that has shown to be suitable for scattered data interpolation, quadrature, bio-imaging reconstruction. The method relies on polynomial mapped bases allowing, for instance, to incorporate data or function discontinuities in a suitable mapping function. The new technique substantially mitigates the Runge’s and Gibbs effects.

Settore MAT/08 - Analisi Numericafake nodes Gibbs phenomenon mapped basis Runge's phenomenonmapped basisGibbs phenomenonRunge’s phenomenonfake nodesApplied MathematicsFOS: MathematicsMathematicsofComputing_NUMERICALANALYSISNumerical Analysis (math.NA)Mathematics - Numerical AnalysisIndustrial and Manufacturing Engineering
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Hochschild Cohomology Theories in White Noise Analysis

2008

We show that the continuous Hochschild cohomology and the differential Hochschild cohomology of the Hida test algebra endowed with the normalized Wick product are the same.

Sheaf cohomologyPure mathematicswhite noise analysisGroup cohomologyMathematics::Number TheoryFOS: Physical sciencesMathematics::Algebraic TopologyHochschild cohomologyGeneral Relativity and Quantum CosmologyCup productMathematics::K-Theory and HomologyMathematics::Quantum AlgebraMathematics - Quantum AlgebraFOS: MathematicsDe Rham cohomologyQuantum Algebra (math.QA)Equivariant cohomologyWick productČech cohomologyMathematical PhysicsMathematicslcsh:MathematicsMathematical Physics (math-ph)lcsh:QA1-939CohomologyGeometry and TopologyAnalysis
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On Shimura subvarieties of the Prym locus

2018

We show that families of Pryms of abelian Galois covers of $\mathbb{P}^1$ in $A_{g-1}$ (resp. $A_g$) do not give rise to high dimensional Shimura subvareties.

Shimura varietyPure mathematicsAlgebra and Number TheoryMathematics::Number Theory010102 general mathematics010103 numerical & computational mathematicsHigh dimensionalPrym variety01 natural sciencesMathematics - Algebraic GeometryMathematics::Algebraic GeometryFOS: Mathematics0101 mathematicsAbelian groupLocus (mathematics)Algebraic Geometry (math.AG)Mathematics
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The monodromy groups of Dolgachev's CY moduli spaces are Zariski dense

2014

Let $\mathcal{M}_{n,2n+2}$ be the coarse moduli space of CY manifolds arising from a crepant resolution of double covers of $\mathbb{P}^n$ branched along $2n+2$ hyperplanes in general position. We show that the monodromy group of a good family for $\mathcal{M}_{n,2n+2}$ is Zariski dense in the corresponding symplectic or orthogonal group if $n\geq 3$. In particular, the period map does not give a uniformization of any partial compactification of the coarse moduli space as a Shimura variety whenever $n\geq 3$. This disproves a conjecture of Dolgachev. As a consequence, the fundamental group of the coarse moduli space of $m$ ordered points in $\mathbb{P}^n$ is shown to be large once it is not…

Shimura varietyPure mathematicsFundamental groupGeneral MathematicsMathematical analysis14D07 14H10Moduli spaceModuli of algebraic curvesMathematics - Algebraic GeometryMathematics::Algebraic GeometryMonodromyFOS: MathematicsOrthogonal groupCompactification (mathematics)Algebraic Geometry (math.AG)Mathematics::Symplectic GeometrySymplectic geometryMathematics
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Shock formation in the dispersionless Kadomtsev-Petviashvili equation

2016

The dispersionless Kadomtsev-Petviashvili (dKP) equation $(u_t+uu_x)_x=u_{yy}$ is one of the simplest nonlinear wave equations describing two-dimensional shocks. To solve the dKP equation we use a coordinate transformation inspired by the method of characteristics for the one-dimensional Hopf equation $u_t+uu_x=0$. We show numerically that the solutions to the transformed equation do not develop shocks. This permits us to extend the dKP solution as the graph of a multivalued function beyond the critical time when the gradients blow up. This overturned solution is multivalued in a lip shape region in the $(x,y)$ plane, where the solution of the dKP equation exists in a weak sense only, and a…

Shock formationFOS: Physical sciencesGeneral Physics and AstronomyKadomtsev–Petviashvili equation01 natural sciencesCritical point (mathematics)010305 fluids & plasmasDissipative dKP equation[ MATH.MATH-AP ] Mathematics [math]/Analysis of PDEs [math.AP]Mathematics - Analysis of PDEsMethod of characteristicsPosition (vector)[MATH.MATH-MP]Mathematics [math]/Mathematical Physics [math-ph]0103 physical sciencesFOS: Mathematics[MATH.MATH-AP]Mathematics [math]/Analysis of PDEs [math.AP]0101 mathematicsSettore MAT/07 - Fisica MatematicaMathematical PhysicsMathematical physicsMathematicsCusp (singularity)Multiscales analysisdispersionless Kadomtsev-Petviashvili equation; dissipative dKP equation; multiscales analysis; shock formationPlane (geometry)Multivalued functionApplied Mathematics010102 general mathematics[ MATH.MATH-MP ] Mathematics [math]/Mathematical Physics [math-ph]Statistical and Nonlinear PhysicsMathematical Physics (math-ph)Nonlinear Sciences::Exactly Solvable and Integrable SystemsDispersionless Kadomtsev-Petviashvili equationDissipative systemAnalysis of PDEs (math.AP)
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Numerical study of the Kadomtsev–Petviashvili equation and dispersive shock waves

2018

A detailed numerical study of the long time behaviour of dispersive shock waves in solutions to the Kadomtsev-Petviashvili (KP) I equation is presented. It is shown that modulated lump solutions emerge from the dispersive shock waves. For the description of dispersive shock waves, Whitham modulation equations for KP are obtained. It is shown that the modulation equations near the soliton line are hyperbolic for the KPII equation while they are elliptic for the KPI equation leading to a focusing effect and the formation of lumps. Such a behaviour is similar to the appearance of breathers for the focusing nonlinear Schrodinger equation in the semiclassical limit.

Shock waveBreatherGeneral MathematicsGeneral Physics and AstronomySemiclassical physicsFOS: Physical sciencesPattern Formation and Solitons (nlin.PS)Kadomtsev–Petviashvili equation01 natural sciences010305 fluids & plasmassymbols.namesakeMathematics - Analysis of PDEs[ MATH.MATH-AP ] Mathematics [math]/Analysis of PDEs [math.AP]0103 physical sciencesModulation (music)FOS: Mathematics[MATH.MATH-AP]Mathematics [math]/Analysis of PDEs [math.AP]Mathematics - Numerical Analysis0101 mathematicsSettore MAT/07 - Fisica MatematicaNonlinear Schrödinger equationNonlinear Sciences::Pattern Formation and SolitonsLine (formation)PhysicsKadomtsev-Petviashvili equationKadomtsev Petviashvili equatuonNonlinear Sciences - Exactly Solvable and Integrable SystemsDispersive Shock waves010102 general mathematicsGeneral EngineeringNumerical Analysis (math.NA)Dispersive shock waves[ MATH.MATH-NA ] Mathematics [math]/Numerical Analysis [math.NA]Whitham equationsNonlinear Sciences - Pattern Formation and SolitonsLumpsKadomtsev Petviashvili equation dispersive shock wavesClassical mechanicsNonlinear Sciences::Exactly Solvable and Integrable SystemssymbolsSolitonExactly Solvable and Integrable Systems (nlin.SI)[MATH.MATH-NA]Mathematics [math]/Numerical Analysis [math.NA]Kadomtsev Petviashvili equationAnalysis of PDEs (math.AP)
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Dynamic Regret Analysis for Online Tracking of Time-varying Structural Equation Model Topologies

2020

Identifying dependencies among variables in a complex system is an important problem in network science. Structural equation models (SEM) have been used widely in many fields for topology inference, because they are tractable and incorporate exogenous influences in the model. Topology identification based on static SEM is useful in stationary environments; however, in many applications a time-varying underlying topology is sought. This paper presents an online algorithm to track sparse time-varying topologies in dynamic environments and most importantly, performs a detailed analysis on the performance guarantees. The tracking capability is characterized in terms of a bound on the dynamic re…

Signal Processing (eess.SP)0209 industrial biotechnologyComputer scienceComplex system020206 networking & telecommunicationsRegretTopology (electrical circuits)Network science02 engineering and technologyTracking (particle physics)Network topologyStructural equation modeling020901 industrial engineering & automationOptimization and Control (math.OC)FOS: Electrical engineering electronic engineering information engineeringFOS: Mathematics0202 electrical engineering electronic engineering information engineeringOnline algorithmElectrical Engineering and Systems Science - Signal ProcessingAlgorithmMathematics - Optimization and Control
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Non-cooperative Aerial Base Station Placement via Stochastic Optimization

2019

Autonomous unmanned aerial vehicles (UAVs) with on-board base station equipment can potentially provide connectivity in areas where the terrestrial infrastructure is overloaded, damaged, or absent. Use cases comprise emergency response, wildfire suppression, surveillance, and cellular communications in crowded events to name a few. A central problem to enable this technology is to place such aerial base stations (AirBSs) in locations that approximately optimize the relevant communication metrics. To alleviate the limitations of existing algorithms, which require intensive and reliable communications among AirBSs or between the AirBSs and a central controller, this paper leverages stochastic…

Signal Processing (eess.SP)Computer scienceQuality of serviceDistributed computing05 social sciences050801 communication & media studies020206 networking & telecommunications02 engineering and technologyNetwork utilityCellular communicationBase station0508 media and communicationsControl theoryOptimization and Control (math.OC)0202 electrical engineering electronic engineering information engineeringFOS: Electrical engineering electronic engineering information engineeringFOS: MathematicsStochastic optimizationUse caseElectrical Engineering and Systems Science - Signal ProcessingGradient descentMathematics - Optimization and Control
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Iterative Reconstruction of Signals on Graph

2020

We propose an iterative algorithm to interpolate graph signals from only a partial set of samples. Our method is derived from the well known Papoulis-Gerchberg algorithm by considering the optimal value of a constant involved in the iteration step. Compared with existing graph signal reconstruction algorithms, the proposed method achieves similar or better performance both in terms of convergence rate and computational efficiency.

Signal Processing (eess.SP)signal processing algorithmIterative methodComputer science02 engineering and technologyIterative reconstructionSettore MAT/08 - Analisi NumericaSettore MAT/05 - Analisi Matematica0202 electrical engineering electronic engineering information engineeringFOS: MathematicsFOS: Electrical engineering electronic engineering information engineeringsignal reconstructionMathematics - Numerical AnalysisElectrical and Electronic EngineeringElectrical Engineering and Systems Science - Signal ProcessingSignal reconstructionApplied Mathematics020206 networking & telecommunicationsNumerical Analysis (math.NA)Graphspectral analysisGraph theoryRate of convergenceSignal ProcessingGraph (abstract data type)Algorithmsignal processing algorithmsInterpolation
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