Search results for "Theorem"

showing 10 items of 1250 documents

Property (w) and perturbations II

2008

AbstractThis note is a continuation of a previous article [P. Aiena, M.T. Biondi, Property (w) and perturbations, J. Math. Anal. Appl. 336 (2007) 683–692] concerning the stability of property (w), a variant of Weyl's theorem, for a bounded operator T acting on a Banach space, under finite-dimensional perturbations K commuting with T. A counterexample shows that property (w) in general is not preserved under finite-dimensional perturbations commuting with T, also under the assumption that T is a-isoloid.

Weyl's theoremsLocalized SVEP Weyl's theorems Browder's theorems Property (w)Property (w)Applied MathematicsLocalized SVEPBrowder's theoremsAnalysis
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Property (w) and perturbations III

2009

AbstractThe property (w) is a variant of Weyl's theorem, for a bounded operator T acting on a Banach space. In this note we consider the preservation of property (w) under a finite rank perturbation commuting with T, whenever T is polaroid, or T has analytical core K(λ0I−T)={0} for some λ0∈C. The preservation of property (w) is also studied under commuting nilpotent or under injective quasi-nilpotent perturbations. The theory is exemplified in the case of some special classes of operators.

Weyl's theoremsSettore MAT/05 - Analisi MatematicaProperty (w)Applied MathematicsPolaroid operatorOperatori polaroidi teoremi di WeylSVEPAnalysisJournal of Mathematical Analysis and Applications
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On Non-Gaussian limiting laws for certain statistics of Wigner Matrices

2013

This paper is a continuation of our papers [12-14] in which the limiting laws of fluctuations were found for the linear eigenvalue statistics Tr j(M(n)) and for the normalized matrix elements √n̅jjj(M(n)) of differentiable functions of real symmetric Wigner matrices M(n) as n →∞. Here we consider another spectral characteristic of Wigner matrices, xnA [j] = Tr j(M(n))A(n), where {A(n)}∞n=1 is a certain sequence of non-random matrices. We show first that if M(n) belongs to the Gaussian Orthogonal Ensemble, then xnA [j] satisfies the Central Limit Theorem. Then we consider Wigner matrices with i.i.d. entries possessing the entire characteristic function and find the limiting probability law f…

Wigner matricescentral limit theoremspectral characteristicsJournal of Mathematical Physics Analysis Geometry
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Scenery Flow, Conical Densities, and Rectifiability

2015

We present an application of the recently developed ergodic theoretic machinery on scenery flows to a classical geometric measure theoretic problem in Euclidean spaces. We also review the enhancements to the theory required in our work. Our main result is a sharp version of the conical density theorem, which we reduce to a question on rectifiability.

Work (thermodynamics)Flow (mathematics)Mathematical analysisEuclidean geometryErgodic theoryConical surfaceDensity theoremMeasure (mathematics)Mathematics
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Evaluation of building heating loads with dimensional analysis: Application of the Buckingham π theorem

2017

Abstract A detailed assessment of building energy performance requires a large amount of input data concerning building typology, environmental conditions, envelope thermophysical properties, geometry, control strategies, and several other parameters. Notwithstanding, the use of specialized software tools poses many challenges in regards to the retrieval of reliable and detailed information, setting a steep learning curve for engineers and energy managers. To speed up the preliminary assessment phase, it might be more convenient to resort to a simplified model that allows the evaluation of heating energy demand with a good level of accuracy and without excessive computational cost or user e…

Work (thermodynamics)Mathematical optimizationComputer science020209 energy02 engineering and technology010501 environmental sciencesTRNSYS01 natural sciencesdynamic simulationsSoftware0202 electrical engineering electronic engineering information engineeringElectrical and Electronic Engineeringdimensionless parameterEnvelope (mathematics)Simulation0105 earth and related environmental sciencesCivil and Structural EngineeringSettore ING-IND/11 - Fisica Tecnica Ambientalebusiness.industryMechanical Engineeringbuilding thermal balanceBuilding and ConstructionBuckingham π theoremBuckingham π theorembusinessEnergy (signal processing)Thermal energyDimensionless quantityEnergy and Buildings
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Theorems of restricted dynamic shakedown

1993

Abstract Dynamic shakedown for a rate-independent material with internal variables is addressed in the hypothesis that the load values are restricted to those of a specified load history of finite or even infinite duration, thus ruling out the possibility—typical of classical shakedown theory—of indefinite load repetitions. Instead of the usual approach to dynamic shakedown, based on the bounded plastic work criterion, another approach is adopted here, based on the adaptation time criterion. Static, kinematic and mixed-form theorems are presented, which characterize the minimum adaptation time (MAT), a feature of the structure-load system, but which are also able to assess whether plastic w…

Work (thermodynamics)Mechanical EngineeringSpecified loadShakedown TheoremKinematicsCondensed Matter PhysicsShakedownMechanics of MaterialsBounded functionCalculusInternal variableApplied mathematicsGeneral Materials ScienceCivil and Structural EngineeringMathematicsInternational Journal of Mechanical Sciences
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Wireless power transfer system stability analysis for E-bikes application

2019

The present work reports the stability analysis of an Inductive Coupled Power Transfer (ICPT) System coupled to an electrical bike. The study has focused on two coupled coils with circular geometry and vertical disposition. In the first part of the work, the theoretical aspects related to the stability of wireless power systems are handled. In the second part, performing several simulations, varying the features of the considered configuration, the stability is looked for. In order to perform this process, the Ansys Maxwell software has been used, performing 3D simulations.

Work (thermodynamics)WPT SystemComputer sciencebusiness.industryInductive Coupled Power Transfer System020209 energy020208 electrical & electronic engineeringProcess (computing)02 engineering and technologyWireless Power Transfer SystemStability (probability)Electric power systemICPT StabilitySoftwareWPT0202 electrical engineering electronic engineering information engineeringElectronic engineeringWPT StabilityMaximum power transfer theoremWirelessWireless power transferbusinessICPT SystemE-BikeE-Bike; ICPT Stability; ICPT System; Inductive Coupled Power Transfer System; Wireless Power Transfer System; WPT; WPT Stability; WPT System
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Methods to Compute Pressure and Wall Tension in Fluids containing Hard Particles

2011

Colloidal systems are often modelled as fluids of hard particles (possibly with an additional soft attraction, e.g. caused by polymers also contained in the suspension). in simulations of such systems, the virial theorem cannot be straightforwardly applied to obtain the components of the pressure tensor. In systems confined by walls, it is hence also not straightforward to extract the excess energy due to the wall (the "wall tension") from the pressure tensor anisotropy. A comparative evaluation of several methods to circumvent this problem is presented, using as examples fluids of hard spheres and the Asakura-Oosawa model of colloid-polymer mixtures with a size ratio $q=0.15$ (for which th…

Yield (engineering)Materials scienceStatistical Mechanics (cond-mat.stat-mech)Tension (physics)Monte Carlo methodGeneral Physics and AstronomyFOS: Physical sciencesStatistical and Nonlinear PhysicsMechanicsHard spheresCondensed Matter - Soft Condensed MatterVirial theoremComputer Science ApplicationsSuspension (chemistry)Condensed Matter::Soft Condensed MatterComputational Theory and MathematicsSoft Condensed Matter (cond-mat.soft)TensorAnisotropyMathematical PhysicsCondensed Matter - Statistical Mechanics
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Kolmogorov Superposition Theorem and Wavelet Decomposition for Image Compression

2009

International audience; Kolmogorov Superposition Theorem stands that any multivariate function can be decomposed into two types of monovariate functions that are called inner and external functions: each inner function is associated to one dimension and linearly combined to construct a hash-function that associates every point of a multidimensional space to a value of the real interval $[0,1]$. These intermediate values are then associated by external functions to the corresponding value of the multidimensional function. Thanks to the decomposition into monovariate functions, our goal is to apply this decomposition to images and obtain image compression. We propose a new algorithm to decomp…

[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing[INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing010102 general mathematicsMathematical analysisWavelet transform02 engineering and technologyFunction (mathematics)[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processingSuperposition theorem01 natural sciencesWavelet packet decompositionWavelet[INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV]Dimension (vector space)[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV][ INFO.INFO-TI ] Computer Science [cs]/Image Processing0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingPoint (geometry)0101 mathematics[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processingImage compressionMathematics
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Kolmogorov Superposition Theorem and Its Application to Multivariate Function Decompositions and Image Representation

2008

International audience; In this paper, we present the problem of multivariate function decompositions into sums and compositions of monovariate functions. We recall that such a decomposition exists in the Kolmogorov's superposition theorem, and we present two of the most recent constructive algorithms of these monovariate functions. We first present the algorithm proposed by Sprecher, then the algorithm proposed by Igelnik, and we present several results of decomposition for gray level images. Our goal is to adapt and apply the superposition theorem to image processing, i.e. to decompose an image into simpler functions using Kolmogorov superpositions. We synthetise our observations, before …

[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing[INFO.INFO-TS] Computer Science [cs]/Signal and Image ProcessingImage processing[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing02 engineering and technologySuperposition theorem01 natural sciences[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing[ INFO.INFO-TI ] Computer Science [cs]/Image ProcessingComputingMethodologies_SYMBOLICANDALGEBRAICMANIPULATION0202 electrical engineering electronic engineering information engineeringApplied mathematics0101 mathematics[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processingMathematicsDiscrete mathematicsSignal processingArtificial neural network010102 general mathematicsApproximation algorithmSpline (mathematics)[INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV]Kolmogorov structure function[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]020201 artificial intelligence & image processingHypercube[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing2008 IEEE International Conference on Signal Image Technology and Internet Based Systems
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