04151nam 2200709 a 450 991045305430332120200520144314.03-11-026334-310.1515/9783110263343(CKB)2550000001096628(EBL)893867(OCoLC)826479699(SSID)ssj0000833721(PQKBManifestationID)11411976(PQKBTitleCode)TC0000833721(PQKBWorkID)10936099(PQKB)10164674(MiAaPQ)EBC893867(DE-B1597)172141(OCoLC)853248751(OCoLC)987750987(DE-B1597)9783110263343(PPN)175558302(Au-PeEL)EBL893867(CaPaEBR)ebr10649212(CaONFJC)MIL503162(EXLCZ)99255000000109662820121026d2013 uy 0engur|n|---|||||txtccrNarrow operators on function spaces and vector lattices[electronic resource] /Mikhail Popov, Beata RandrianantoaninaBerlin De Gruyter20131 online resource (336 p.)De Gruyter Studies in Mathematics ;45De Gruyter studies in mathematics,0179-0986 ;45Description based upon print version of record.3-11-026303-3 1-299-71911-2 Includes bibliographical references and indexes. Frontmatter -- Preface -- Contents -- Chapter 1. Introduction and preliminaries -- Chapter 2. Each "small" operator is narrow -- Chapter 3. Some properties of narrow operators with applications to nonlocally convex spaces -- Chapter 4. Noncompact narrow operators -- Chapter 5. Ideal properties, conjugates, spectrum and numerical radii of narrow operators -- Chapter 6. Daugavet-type properties of Lebesgue and Lorentz spaces -- Chapter 7. Strict singularity versus narrowness -- Chapter 8. Weak embeddings of L1 -- Chapter 9. Spaces X for which every operator T ∈ ℒ (Lp;X) is narrow -- Chapter 10. Narrow operators on vector lattices -- Chapter 11. Some variants of the notion of narrow operators -- Chapter 12. Open problems -- Bibliography -- Index of names -- Subject indexMost classes of operators that are not isomorphic embeddings are characterized by some kind of a "smallness" condition. Narrow operators are those operators defined on function spaces that are "small" at {-1,0,1}-valued functions, e.g. compact operators are narrow. The original motivation to consider such operators came from theory of embeddings of Banach spaces, but since then they were also applied to the study of the Daugavet property and to other geometrical problems of functional analysis. The question of when a sum of two narrow operators is narrow, has led to deep developments of the theory of narrow operators, including an extension of the notion to vector lattices and investigations of connections to regular operators. Narrow operators were a subject of numerous investigations during the last 30 years. This monograph provides a comprehensive presentation putting them in context of modern theory. It gives an in depth systematic exposition of concepts related to and influenced by narrow operators, starting from basic results and building up to most recent developments. The authors include a complete bibliography and many attractive open problems. De Gruyter Studies in MathematicsNarrow operatorsRiesz spacesFunction spacesElectronic books.Narrow operators.Riesz spaces.Function spaces.515/.73Popov Mykhaĭlo Mykhaĭlovych1040328Randrianantoanina Beata518410MiAaPQMiAaPQMiAaPQBOOK9910453054303321Narrow operators on function spaces and vector lattices2463087UNINA01890nam 2200361 450 99628068680331620230611140451.00-7381-3571-2(CKB)1000000000035526(NjHacI)991000000000035526(EXLCZ)99100000000003552620230611d2003 uy 0engur|||||||||||txtrdacontentcrdamediacrrdacarrierIEEE Standard on Transitions, Pulses, and Related Waveforms IEEE Std 181-2003 /IEEE Instrumentation and Measurement Society Subcommittee on Pulse TechniquesNew York, NY :Institute of Electrical and Electronics Engineers,2003.1 online resource (viii, 54 pages) illustrationsInstitute of Electrical and Electronics Engineers0-7381-3570-4 This standard presents approximately 100 terms, and their definitions, for accurately and precisely describing the waveforms of pulse signals and the process of measuring pulse signals. Algorithms are provided for computing the values of defined terms that describe measurable parameters of the waveform, such as transition duration, state level, pulse amplitude, and waveform aberrations. These analysis algorithms are applicable to two-state waveforms having one or two transitions connecting these states. Compound waveform analysis is accomplished by decomposing the compound waveform into its constituent two-state single-transition waveforms.IEEE Std 181-2003Pulse techniques (Electronics)Pulse techniques (Electronics)621.381534NjHacINjHaclDOCUMENT996280686803316IEEE Standard on Transitions, Pulses, and Related Waveforms3382510UNISA