Search results for "Hilbert space"

showing 10 items of 234 documents

Annihilating sets for the short time Fourier transform

2010

Abstract We obtain a class of subsets of R 2 d such that the support of the short time Fourier transform (STFT) of a signal f ∈ L 2 ( R d ) with respect to a window g ∈ L 2 ( R d ) cannot belong to this class unless f or g is identically zero. Moreover we prove that the L 2 -norm of the STFT is essentially concentrated in the complement of such a set. A generalization to other Hilbert spaces of functions or distributions is also provided. To this aim we obtain some results on compactness of localization operators acting on weighted modulation Hilbert spaces.

Mathematics(all)Modulation spacePure mathematicsLocalization operatorsUncertainty principleGeneral MathematicsMathematical analysisShort-time Fourier transformHilbert spaceHilbert spectral analysissymbols.namesakeModulation spacesCompact spaceNorm (mathematics)Uncertainty principlesymbolsAnnihilating setsShort time Fourier transformMathematicsAdvances in Mathematics
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On the zero-set of 2-homogeneous polynomials in Banach spaces

2018

ABSTRACTGiving a partial answer to a conjecture formulated by Aron, Boyd, Ryan and Zalduendo, we show that if a real Banach space X is not linearly and continuously injected into a Hilbert space, t...

Mathematics::Functional AnalysisPure mathematicsAlgebra and Number TheoryConjectureZero setHilbert spaceBanach space010103 numerical & computational mathematics01 natural sciencessymbols.namesakeHomogeneoussymbols0101 mathematicsMathematicsLinear and Multilinear Algebra
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Decompositions and asymptotic limit for bicontractions

2012

The asymptotic limit of a bicontraction T (that is, a pair of commuting contractions) on a Hilbert space H is used to describe a Nagy–Foias–Langer type decomposition of T. This decomposition is refined in the case when the asymptotic limit of T is an orthogonal projection. The case of a bicontraction T consisting of hyponormal (even quasinormal) contractions is also considered, where we have ST∗=S2T∗.

Mathematics::Functional Analysissymbols.namesakeMathematics::Operator AlgebrasGeneral MathematicsMathematical analysisOrthographic projectionHilbert spacesymbolsLimit (mathematics)Mathematics::Spectral TheoryType (model theory)Mathematics
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Quasi *-Algebras of Operators in Rigged Hilbert Spaces

2002

In this chapter, we will study families of operators acting on a rigged Hilbert space, with a particular interest in their partial algebraic structure. In Section 10.1 the notion of rigged Hilbert space D[t] ↪ H ↪ D × [t ×] is introduced and some examples are presented. In Section 10.2, we consider the space.L(D, D ×) of all continuous linear maps from D[t] into D × [t ×] and look for conditions under which (L(D, D ×), L +(D)) is a (topological) quasi *-algebra. Moreover the general problem of introducing in L(D, D ×) a partial multiplication is considered. In Section 10.3 representations of abstract quasi *-algebras into quasi*-algebras of operators are studied and the GNS-construction is …

Multiplication (music)Section (fiber bundle)Pure mathematicssymbols.namesakeFréchet spaceAlgebraic structureHilbert spacesymbolsTopological graph theoryRigged Hilbert spaceMathematicsMackey topology
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Quasi *-Algebras and Multiplication of Distributions

1997

AbstractA self-adjoint operatorAinL2(Ω,μ) defines in a natural way a space of test functions SA(Ω) and a corresponding space of distributions S′A(Ω). These are considered as quasi *-algebras and the problem of multiplying distributions is studied in terms of multiplication operators defined on a rigged Hilbert space.

Multiplication operatorApplied MathematicsMathematical analysisMultiplicationRigged Hilbert spaceSpace (mathematics)AnalysisMathematicsJournal of Mathematical Analysis and Applications
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Signal-to-noise ratio in reproducing kernel Hilbert spaces

2018

This paper introduces the kernel signal-to-noise ratio (kSNR) for different machine learning and signal processing applications}. The kSNR seeks to maximize the signal variance while minimizing the estimated noise variance explicitly in a reproducing kernel Hilbert space (rkHs). The kSNR gives rise to considering complex signal-to-noise relations beyond additive noise models, and can be seen as a useful signal-to-noise regularizer for feature extraction and dimensionality reduction. We show that the kSNR generalizes kernel PCA (and other spectral dimensionality reduction methods), least squares SVM, and kernel ridge regression to deal with cases where signal and noise cannot be assumed inde…

Noise model02 engineering and technologySNR010501 environmental sciences01 natural sciencesKernel principal component analysisSenyal Teoria del (Telecomunicació)Signal-to-noise ratioArtificial Intelligence0202 electrical engineering electronic engineering information engineeringHeteroscedastic0105 earth and related environmental sciencesMathematicsNoise (signal processing)Dimensionality reductionKernel methodsSignal classificationSupport vector machineKernel methodKernel (statistics)Anàlisi funcionalSignal ProcessingFeature extraction020201 artificial intelligence & image processingSignal-to-noise ratioComputer Vision and Pattern RecognitionAlgorithmSoftwareImatges ProcessamentReproducing kernel Hilbert spaceCausal inference
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Unitarity of the SoV Transform for the Toda Chain

2014

The quantum separation of variables method consists in mapping the original Hilbert space where a spectral problem is formulated onto one where the spectral problem takes a simpler "separated" form. In order to realise such a program, one should construct the map explicitly and then show that it is unitary. In the present paper, we develop a technique which allows one to prove the unitarity of this map in the case of the quantum Toda chain. Our proof solely builds on objects and relations naturally arising in the framework of the so-called quantum inverse scattering method. Hence, with minor modifications, it should be readily transposable to other quantum integrable models solvable by the …

Nonlinear Sciences - Exactly Solvable and Integrable SystemsIntegrable systemUnitarityMinor (linear algebra)Hilbert spaceSeparation of variablesFOS: Physical sciencesStatistical and Nonlinear PhysicsMathematical Physics (math-ph)Theoretical physicssymbols.namesakeChain (algebraic topology)symbolsQuantum inverse scattering methodExactly Solvable and Integrable Systems (nlin.SI)QuantumMathematical PhysicsMathematicsCommunications in Mathematical Physics
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Implicit analytic solutions for a nonlinear fractional partial differential beam equation

2020

Abstract Analytic solutions in implicit form are derived for a nonlinear partial differential equation (PDE) with fractional derivative elements, which can model the dynamics of a deterministically excited Euler-Bernoulli beam resting on a viscoelastic foundation. Specifically, the initial-boundary value problem for the corresponding PDE is reduced to an initial value problem for a nonlinear ordinary differential equation in a Hilbert space. Next, by employing the cosine and sine families of operators, a variation of parameters representation of the solution map is introduced. Due to the presence of a nonlinear term, a local fixed point theorem is employed to prove the local existence and u…

Numerical AnalysisPartial differential equationApplied MathematicsCosine and sine families of operatorHilbert spacePartial differential equationFractional derivativeVariation of parameters01 natural sciencesImplicit analytic solution010305 fluids & plasmasFractional calculusNonlinear systemsymbols.namesakeModeling and Simulation0103 physical sciencessymbolsPartial derivativeInitial value problemApplied mathematicsBoundary value problem010306 general physicsMathematicsNonlinear beam
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Quasi-isometries associated to A-contractions

2014

Abstract Given two operators A and T ( A ≥ 0 , ‖ A ‖ = 1 ) on a Hilbert space H satisfying T ⁎ A T ≤ A , we study the maximum subspace of H which reduces M = A 1 / 2 T to a quasi-isometry, that is on which the equality M ⁎ M = M ⁎ 2 M 2 holds. In some cases, this subspace coincides with the maximum subspace which reduces M to a normal partial isometry, for example when A = T T ⁎ , and in particular if T ⁎ is a cohyponormal contraction. In this case the corresponding subspace can be completely described in terms of asymptotic limit of the contraction T. When M is quasinormal and M ⁎ M = A then the former above quoted subspace reduces to the kernel of A − A 2 . The case of an arbitrary contra…

Numerical AnalysisPartial isometryAlgebra and Number TheoryMathematical analysisInvariant subspaceHilbert spaceCombinatoricssymbols.namesakeHyponormal operatorQuasi-isometrysymbolsDiscrete Mathematics and CombinatoricsGeometry and TopologySubspace topologyMathematicsLinear Algebra and its Applications
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Convex and expansive liftings close to two-isometries and power bounded operators

2021

Abstract In the context of Hilbert space operators, there is a strong relationship between convex and expansive operators and 2-isometries. In this paper, we investigate the bounded linear operators T on a Hilbert space H which have a 2-isometric lifting S on a Hilbert space K containing H as a closed subspace invariant for S ⁎ S . This last property holds in particular when S | K ⊖ H is an isometry. We relate such 2-isometric liftings S by some convex, concave or expansive liftings of the same type as S. We also examine some power bounded operators with such liftings, as well as an intermediate expansive lifting associated with T on the space H ⊕ l + 2 ( H ) . The latter notion is used to …

Numerical AnalysisPure mathematicsAlgebra and Number Theory010102 general mathematicsHilbert spaceContext (language use)010103 numerical & computational mathematicsSpace (mathematics)01 natural sciencessymbols.namesakeOperator (computer programming)Bounded functionIsometrysymbolsDiscrete Mathematics and CombinatoricsGeometry and Topology0101 mathematicsInvariant (mathematics)Contraction (operator theory)MathematicsLinear Algebra and its Applications
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