Search results for "Normed vector space"

showing 10 items of 23 documents

Isometric embeddings of snowflakes into finite-dimensional Banach spaces

2016

We consider a general notion of snowflake of a metric space by composing the distance by a nontrivial concave function. We prove that a snowflake of a metric space $X$ isometrically embeds into some finite-dimensional normed space if and only if $X$ is finite. In the case of power functions we give a uniform bound on the cardinality of $X$ depending only on the power exponent and the dimension of the vector space.

30L05 46B85 54C25 54E40 28A80Pure mathematicsmetric spacesGeneral MathematicsMathematicsofComputing_GENERALBanach space01 natural sciencesfunctional analysisCardinalityMathematics - Metric GeometryDimension (vector space)0103 physical sciencesFOS: MathematicsMathematics (all)Mathematics::Metric Geometry0101 mathematicsSnowflakeNormed vector spaceMathematicsConcave functionApplied Mathematicsta111010102 general mathematicsnormiavaruudetMetric Geometry (math.MG)normed spacesmetriset avaruudetMetric spacefractalsfraktaalit010307 mathematical physicsfunktionaalianalyysiMathematics (all); Applied MathematicsVector spaceProceedings of the American Mathematical Society
researchProduct

On singular integral and martingale transforms

2007

Linear equivalences of norms of vector-valued singular integral operators and vector-valued martingale transforms are studied. In particular, it is shown that the UMD(p)-constant of a Banach space X equals the norm of the real (or the imaginary) part of the Beurling-Ahlfors singular integral operator, acting on the X-valued L^p-space on the plane. Moreover, replacing equality by a linear equivalence, this is found to be the typical property of even multipliers. A corresponding result for odd multipliers and the Hilbert transform is given.

46B09General Mathematics46B20 (Secondary)Banach space42B15 (Primary) 42B2001 natural sciencesUpper and lower bounds010104 statistics & probabilitysymbols.namesakeCorollary60G46; 42B15 (Primary) 42B20; 46B09; 46B20 (Secondary)Classical Analysis and ODEs (math.CA)FOS: Mathematics60G460101 mathematicsMathematicsNormed vector spaceDiscrete mathematicsApplied MathematicsProbability (math.PR)010102 general mathematicsSingular integralSingular valueMathematics - Classical Analysis and ODEssymbolsHilbert transformMartingale (probability theory)Mathematics - ProbabilityTransactions of the American Mathematical Society
researchProduct

Optimal Locations and Inner Products

1997

Abstract In a normed space X , we consider objective functions which depend on the distances between a variable point and the points of certain finite sets A . A point where such a function attains its minimum on X is generically called an optimal location. In this paper we obtain characterizations of inner product spaces with properties connecting optimal locations and the convex hull of A or barycenters of points of A with well chosen weights. We thus generalize several classical results about characterization of inner product spaces.

CombinatoricsConvex hullInner product spaceApplied MathematicsMathematical analysisPoint (geometry)Function (mathematics)Characterization (mathematics)Finite setAnalysisNormed vector spaceVariable (mathematics)MathematicsJournal of Mathematical Analysis and Applications
researchProduct

Remarks on the semivariation of vector measures with respect to Banach spaces.

2007

Suppose that and . It is shown that any Lp(µ)-valued measure has finite L2(v)-semivariation with respect to the tensor norm for 1 ≤ p < ∞ and finite Lq(v)-semivariation with respect to the tensor norm whenever either q = 2 and 1 ≤ p ≤ 2 or q > max{p, 2}. However there exist measures with infinite Lq-semivariation with respect to the tensor norm for any 1 ≤ q < 2. It is also shown that the measure m (A) = χA has infinite Lq-semivariation with respect to the tensor norm if q < p.

CombinatoricsDiscrete mathematicsGeneral MathematicsNorm (mathematics)Locally convex topological vector spaceComputingMethodologies_DOCUMENTANDTEXTPROCESSINGBanach spaceInterpolation spaceUniformly convex spaceBanach manifoldLp spaceNormed vector spaceMathematicsBulletin of the Australian Mathematical Society
researchProduct

The Ptolemy and Zbăganu constants of normed spaces

2010

Abstract In every inner product space H the Ptolemy inequality holds: the product of the diagonals of a quadrilateral is less than or equal to the sum of the products of the opposite sides. In other words, ‖ x − y ‖ ‖ z − w ‖ ≤ ‖ x − z ‖ ‖ y − w ‖ + ‖ z − y ‖ ‖ x − w ‖ for any points w , x , y , z in H . It is known that for each normed space ( X , ‖ ⋅ ‖ ) , there exists a constant C such that for any w , x , y , z ∈ X , we have ‖ x − y ‖ ‖ z − w ‖ ≤ C ( ‖ x − z ‖ ‖ y − w ‖ + ‖ z − y ‖ ‖ x − w ‖ ) . The smallest such C is called the Ptolemy constant of X and is denoted by C P ( X ) . We study the relationships between this constant and the geometry of the space X , and hence with metric fix…

CombinatoricsInner product spaceApplied MathematicsProduct (mathematics)Mathematical analysisBanach spaceFixed-point theoremSpace (mathematics)Constant (mathematics)Fixed-point propertyAnalysisNormed vector spaceMathematicsNonlinear Analysis: Theory, Methods & Applications
researchProduct

Normed vector spaces consisting of classes of convex sets

1965

CombinatoricsStrictly convex spaceConvex analysisGeneral MathematicsLocally convex topological vector spaceUniformly convex spaceAbsolutely convex setReflexive spaceTopologyMathematicsDual pairNormed vector spaceMathematische Zeitschrift
researchProduct

ℓp-solutions of countable infinite systems of equations and applications to electrical circuits

1991

In the preceding chapter we have studied a lumped parameter model of a class of circuits containing a finite number of elements. Here we are interested in qualitative properties of the network in Figure 3.1.

Discrete mathematicsClass (set theory)lawTruncation error (numerical integration)Electrical networkCountable setInfinite systemsFinite setMathematicslaw.inventionNormed vector spaceElectronic circuit
researchProduct

General duality in vector optimization

1993

Vector minimization of a relation F valued in an ordered vector space under a constraint A consists in finding x 0 ∊ A w,0 ∊ Fx$0 such that w,0 is minimal in FA. To a family of vector minimization problemsminimize , one associates a Lagrange relation where ξ belongs to an arbitrary class Ξ of mappings, the main purpose being to recover solutions of the original problem from the vector minimization of the Lagrange relation for an appropriate ξ. This ξ turns out to be a solution of a dual vector maximization problem. Characterizations of exact and approximate duality in terms of vector (generalized with respect to Ξ) convexity and subdifferentiability are given. They extend the theory existin…

Discrete mathematicsControl and OptimizationVector operatorDual spaceApplied MathematicsDuality (optimization)Management Science and Operations ResearchVector optimizationUnit vectorOrdered vector spaceApplied mathematicsVector potentialMathematicsNormed vector spaceOptimization
researchProduct

Tangency conditions for multivalued mappings

1996

We prove that interiority conditions imply tangency conditions for two multivalued mappings from a topological space into a normed vector space. As a consequence, we obtain the lower semicontinuity of the intersection of two multivalued mappings. An application to the epi-upper semicontinuity of the sum of convex vector-valued mappings is given.

Discrete mathematicsMathematics::Functional AnalysisIntersectionMathematics::Complex VariablesApplied MathematicsRegular polygonMathematics::General TopologyTangentTopological spaceAnalysisNormed vector spaceMathematicsSet-Valued Analysis
researchProduct

Examples of proper k-ball contractive retractions in F-normed spaces

2007

Abstract Assume X is an infinite dimensional F -normed space and let r be a positive number such that the closed ball B r ( X ) of radius r is properly contained in X . The main aim of this paper is to give examples of regular F -normed ideal spaces in which there is a 1-ball or a ( 1 + e ) -ball contractive retraction of B r ( X ) onto its boundary with positive lower Hausdorff measure of noncompactness. The examples are based on the abstract results of the paper, obtained under suitable hypotheses on X .

Discrete mathematicsPure mathematicsApplied Mathematicsρ-Near retractionk-Ball contractionRegular F-normed ideal spaceRetractionHausdorff measure of noncompactnessHausdorff measureBall (mathematics)Hausdorff measure of noncompactneF-spaceAnalysisNormed vector spaceMathematicsJournal of Mathematical Analysis and Applications
researchProduct