Results for 'Vector spaces'

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  1.  13
    Vector spaces with a union of independent subspaces.Alessandro Berarducci, Marcello Mamino & Rosario Mennuni - 2024 - Archive for Mathematical Logic 63 (3):499-507.
    We study the theory of K-vector spaces with a predicate for the union X of an infinite family of independent subspaces. We show that if K is infinite then the theory is complete and admits quantifier elimination in the language of K-vector spaces with predicates for the n-fold sums of X with itself. If K is finite this is no longer true, but we still have that a natural completion is near-model-complete.
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  2.  7
    Vector spaces with a dense-codense generic submodule.Alexander Berenstein, Christian D'Elbée & Evgueni Vassiliev - forthcoming - Annals of Pure and Applied Logic.
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  3.  7
    If vector spaces are projective modules then multiple choice holds.Paul Howard - 2005 - Mathematical Logic Quarterly 51 (2):187.
    We show that the assertion that every vector space is a projective module implies the axiom of multiple choice and that the reverse implication does not hold in set theory weakened to permit the existence of atoms.
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  4.  18
    On vector spaces over specific fields without choice.Paul Howard & Eleftherios Tachtsis - 2013 - Mathematical Logic Quarterly 59 (3):128-146.
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  5.  32
    Vector spaces and binary quantifiers.Michał Krynicki, Alistair Lachlan & Jouko Väänänen - 1984 - Notre Dame Journal of Formal Logic 25 (1):72-78.
  6.  47
    Countable vector spaces with recursive operations Part II.J. C. E. Dekker - 1971 - Journal of Symbolic Logic 36 (3):477-493.
  7. Vector space models of lexical meaning.Stephen Clark - 2015 - In Shalom Lappin & Chris Fox (eds.), Handbook of Contemporary Semantic Theory. Wiley-Blackwell.
     
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  8.  22
    Maximal vector spaces under automorphisms of the lattice of recursively enumerable vector spaces.Iraj Kalantari & Allen Retzlaff - 1977 - Journal of Symbolic Logic 42 (4):481-491.
  9.  53
    Countable vector spaces with recursive operations Part I1.J. C. E. Dekker - 1969 - Journal of Symbolic Logic 34 (3):363-387.
  10.  15
    Vector Space Applications in Metaphor Comprehension.J. Nick Reid & Albert N. Katz - 2018 - Metaphor and Symbol 33 (4):280-294.
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  11.  28
    The Vector Space Kinna-Wagner Principle is Equivalent to the Axiom of Choice.Kyriakos Keremedis - 2001 - Mathematical Logic Quarterly 47 (2):205-210.
    We show that the axiom of choice AC is equivalent to the Vector Space Kinna-Wagner Principle, i.e., the assertion: “For every family [MATHEMATICAL SCRIPT CAPITAL V]= {Vi : i ∈ k} of non trivial vector spaces there is a family ℱ = {Fi : i ∈ k} such that for each i ∈ k, Fiis a non empty independent subset of Vi”. We also show that the statement “every vector space over ℚ has a basis” implies (...)
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  12.  90
    Vector space semantics: A model-theoretic analysis of locative prepositions. [REVIEW]Joost Zwarts & Yoad Winter - 2000 - Journal of Logic, Language and Information 9 (2):169-211.
    This paper introduces a compositional semantics of locativeprepositional phrases which is based on a vector space ontology.Model-theoretic properties of prepositions like monotonicity andconservativity are defined in this system in a straightforward way.These notions are shown to describe central inferences with spatialexpressions and to account for the grammaticality of prepositionmodification. Model-theoretic constraints on the set of possibleprepositions in natural language are specified, similar to the semanticuniversals of Generalized Quantifier Theory.
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  13.  18
    Model-theory of vector-spaces over unspecified fields.David Pierce - 2009 - Archive for Mathematical Logic 48 (5):421-436.
    Vector spaces over unspecified fields can be axiomatized as one-sorted structures, namely, abelian groups with the relation of parallelism. Parallelism is binary linear dependence. When equipped with the n-ary relation of linear dependence for some positive integer n, a vector-space is existentially closed if and only if it is n-dimensional over an algebraically closed field. In the signature with an n-ary predicate for linear dependence for each positive integer n, the theory of infinite-dimensional vector spaces (...)
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  14.  29
    Groups Definable in Ordered Vector Spaces over Ordered Division Rings.Pantelis E. Eleftheriou & Sergei Starchenko - 2007 - Journal of Symbolic Logic 72 (4):1108 - 1140.
    Let M = 〈M, +, <, 0, {λ}λ∈D〉 be an ordered vector space over an ordered division ring D, and G = 〈G, ⊕, eG〉 an n-dimensional group definable in M. We show that if G is definably compact and definably connected with respect to the t-topology, then it is definably isomorphic to a 'definable quotient group' U/L, for some convex V-definable subgroup U of 〈Mⁿ, +〉 and a lattice L of rank n. As two consequences, we derive Pillay's (...)
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  15.  69
    Limited Holism and Real-Vector-Space Quantum Theory.Lucien Hardy & William K. Wootters - 2012 - Foundations of Physics 42 (3):454-473.
    Quantum theory has the property of “local tomography”: the state of any composite system can be reconstructed from the statistics of measurements on the individual components. In this respect the holism of quantum theory is limited. We consider in this paper a class of theories more holistic than quantum theory in that they are constrained only by “bilocal tomography”: the state of any composite system is determined by the statistics of measurements on pairs of components. Under a few auxiliary assumptions, (...)
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  16.  40
    Lambek vs. Lambek: Functorial vector space semantics and string diagrams for Lambek calculus.Bob Coecke, Edward Grefenstette & Mehrnoosh Sadrzadeh - 2013 - Annals of Pure and Applied Logic 164 (11):1079-1100.
    The Distributional Compositional Categorical model is a mathematical framework that provides compositional semantics for meanings of natural language sentences. It consists of a computational procedure for constructing meanings of sentences, given their grammatical structure in terms of compositional type-logic, and given the empirically derived meanings of their words. For the particular case that the meaning of words is modelled within a distributional vector space model, its experimental predictions, derived from real large scale data, have outperformed other empirically validated methods (...)
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  17.  20
    Simple and hyperhypersimple vector spaces.Allen Retzlaff - 1978 - Journal of Symbolic Logic 43 (2):260-269.
    Let $V_\propto$ be a fixed, fully effective, infinite dimensional vector space. Let $\mathscr{L}(V_\propto)$ be the lattice consisting of the recursively enumerable (r.e.) subspaces of $V_\propto$ , under the operations of intersection and weak sum (see § 1 for precise definitions). In this article we examine the algebraic properties of $\mathscr{L}(V_\propto)$ . Early research on recursively enumerable algebraic structures was done by Rabin [14], Frolich and Shepherdson [5], Dekker [3], Hamilton [7], and Guhl [6]. Our results are based upon the (...)
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  18.  35
    Entanglement Sharing in Real-Vector-Space Quantum Theory.William K. Wootters - 2012 - Foundations of Physics 42 (1):19-28.
    The limitation on the sharing of entanglement is a basic feature of quantum theory. For example, if two qubits are completely entangled with each other, neither of them can be at all entangled with any other object. In this paper we show, at least for a certain standard definition of entanglement, that this feature is lost when one replaces the usual complex vector space of quantum states with a real vector space. Moreover, the difference between the two theories (...)
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  19.  24
    Division rings whose vector spaces are pseudofinite.Vinicius Lopes & Lou van den Dries - 2010 - Journal of Symbolic Logic 75 (3):1087-1090.
    Vector spaces over fields are pseudofinite, and this remains true for vector spaces over division rings that are finite-dimensional over their center. We also construct a division ring such that the nontrivial vector spaces over it are not pseudofinite, using Richard Thompson's group F. The idea behind the construction comes from a first-order axiomatization of the class of division rings all whose nontrivial vector spaces are pseudofinite.
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  20.  20
    Strongly minimal fusions of vector spaces.Kitty L. Holland - 1997 - Annals of Pure and Applied Logic 83 (1):1-22.
    We provide a simple and transparent construction of Hrushovski's strongly minimal fusions in the case where the fused strongly minimal sets are vector spaces. We strengthen Hrushovski's result by showing that the strongly minimal fusions are model complete.
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  21.  16
    Division rings whose vector spaces are pseudofinite.Lou Den Drievans & Vinicius Cifú Lopes - 2010 - Journal of Symbolic Logic 75 (3):1087-1090.
    Vector spaces over fields are pseudofinite, and this remains true for vector spaces over division rings that are finite-dimensional over their center. We also construct a division ring such that the nontrivial vector spaces over it are not pseudofinite, using Richard Thompson's group F. The idea behind the construction comes from a first-order axiomatization of the class of division rings all whose nontrivial vector spaces are pseudofinite.
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  22.  26
    Fusion over a vector space.Andreas Baudisch, Amador Martin-Pizarro & Martin Ziegler - 2006 - Journal of Mathematical Logic 6 (2):141-162.
    Let T1 and T2 be two countable strongly minimal theories with the DMP whose common theory is the theory of vector spaces over a fixed finite field. We show that T1 ∪ T2 has a strongly minimal completion.
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  23.  23
    On speedable and levelable vector spaces.Frank A. Bäuerle & Jeffrey B. Remmel - 1994 - Annals of Pure and Applied Logic 67 (1-3):61-112.
    In this paper, we study the lattice of r.e. subspaces of a recursively presented vector space V ∞ with regard to the various complexity-theoretic speed-up properties such as speedable, effectively speedable, levelable, and effectively levelable introduced by Blum and Marques. In particular, we study the interplay between an r.e. basis A for a subspace V of V ∞ and V with regard to these properties. We show for example that if A or V is speedable , then V is (...)
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  24.  36
    Grounding the Vector Space of an Octopus: Word Meaning from Raw Text.Anders Søgaard - 2023 - Minds and Machines 33 (1):33-54.
    Most, if not all, philosophers agree that computers cannot learn what words refers to from raw text alone. While many attacked Searle’s Chinese Room thought experiment, no one seemed to question this most basic assumption. For how can computers learn something that is not in the data? Emily Bender and Alexander Koller ( 2020 ) recently presented a related thought experiment—the so-called Octopus thought experiment, which replaces the rule-based interlocutor of Searle’s thought experiment with a neural language model. The Octopus (...)
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  25.  26
    Associative judgment and vector space semantics.Sudeep Bhatia - 2017 - Psychological Review 124 (1):1-20.
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  26.  6
    Madness in vector spaces.Iian B. Smythe - 2019 - Journal of Symbolic Logic 84 (4):1590-1611.
    We consider maximal almost disjoint families of block subspaces of countable vector spaces, focusing on questions of their size and definability. We prove that the minimum infinite cardinality of such a family cannot be decided in ZFC and that the “spectrum” of cardinalities of mad families of subspaces can be made arbitrarily large, in analogy to results for mad families on ω. We apply the author’s local Ramsey theory for vector spaces [32] to give partial results (...)
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  27.  16
    A computably enumerable vector space with the strong antibasis property.L. R. Galminas - 2000 - Archive for Mathematical Logic 39 (8):605-629.
    Downey and Remmel have completely characterized the degrees of c.e. bases for c.e. vector spaces (and c.e. fields) in terms of weak truth table degrees. In this paper we obtain a structural result concerning the interaction between the c.e. Turing degrees and the c.e. weak truth table degrees, which by Downey and Remmel's classification, establishes the existence of c.e. vector spaces (and fields) with the strong antibasis property (a question which they raised). Namely, we construct c.e. (...)
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  28.  31
    Maximal and cohesive vector spaces.J. B. Remmel - 1977 - Journal of Symbolic Logic 42 (3):400-418.
  29.  32
    A r-maximal vector space not contained in any maximal vector space.J. Remmel - 1978 - Journal of Symbolic Logic 43 (3):430-441.
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  30.  24
    Two notes on vector spaces with recursive operations.J. C. E. Dekker - 1971 - Notre Dame Journal of Formal Logic 12 (3):329-334.
  31.  3
    Recursively Enumerable Vector Spaces.A. G. Hamilton - 1983 - Journal of Symbolic Logic 48 (3):880-882.
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  32.  21
    Partitioning large vector spaces.James H. Schmerl - 2003 - Journal of Symbolic Logic 68 (4):1171-1180.
  33.  81
    DSm Super Vector Space of Refined Labels.W. B. Vasantha Kandasamy & Florentin Smarandache - 2011 - Columbus, OH, USA: Zip Publishing.
    In this book authors for the first time introduce the notion of supermatrices of refined labels. Authors prove super row matrix of refined labels form a group under addition. However super row matrix of refined labels do not form a group under product; it only forms a semigroup under multiplication. In this book super column matrix of refined labels and m × n matrix of refined labels are introduced and studied.
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  34.  18
    From "metabelian q-vector spaces" to new ω-stable groups.Olivier Chapuis - 1996 - Bulletin of Symbolic Logic 2 (1):84-93.
    The aim of this paper is to describe an analogue of the theory of nontrivial torsion-free divisible abelian groups for metabelian groups. We obtain illustrations for “old-fashioned” model theoretic algebra and “new” examples in the theory of stable groups. We begin this paper with general considerations about model theory. In the second section we present our results and we give the structure of the rest of the paper. Most parts of this paper use only basic concepts from model theory and (...)
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  35.  14
    From "Metabelian $text{Q}$-Vector Spaces" to New $omega $-Stable Groups.Olivier Chapuis - 1996 - Bulletin of Symbolic Logic 2 (1):84-93.
    The aim of this paper is to describe an analogue of the theory of nontrivial torsion-free divisible abelian groups for metabelian groups. We obtain illustrations for “old-fashioned” model theoretic algebra and “new” examples in the theory of stable groups. We begin this paper with general considerations about model theory. In the second section we present our results and we give the structure of the rest of the paper. Most parts of this paper use only basic concepts from model theory and (...)
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  36.  22
    Encoded summarization: summarizing documents into continuous vector space for legal case retrieval.Vu Tran, Minh Le Nguyen, Satoshi Tojo & Ken Satoh - 2020 - Artificial Intelligence and Law 28 (4):441-467.
    We present our method for tackling a legal case retrieval task by introducing our method of encoding documents by summarizing them into continuous vector space via our phrase scoring framework utilizing deep neural networks. On the other hand, we explore the benefits from combining lexical features and latent features generated with neural networks. Our experiments show that lexical features and latent features generated with neural networks complement each other to improve the retrieval system performance. Furthermore, our experimental results suggest (...)
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  37.  25
    Euler characteristics for strongly minimal groups and the eq-expansions of vector spaces.Vinicius Cifú Lopes - 2011 - Journal of Symbolic Logic 76 (1):235 - 242.
    We find the complete Euler characteristics for the categories of definable sets and functions in strongly minimal groups. Their images, which represent the Grothendieck semirings of those categories, are all isomorphic to the semiring of polynomials over the integers with nonnegative leading coefficient. As a consequence, injective definable endofunctions in those groups are surjective. For infinite vector spaces over arbitrary division rings, the same results hold, and more: We also establish the Fubini property for all Euler characteristics, and (...)
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  38.  29
    A data-driven computational semiotics: The semantic vector space of Magritte’s artworks.Jean-François Chartier, Davide Pulizzotto, Louis Chartrand & Jean-Guy Meunier - 2019 - Semiotica 2019 (230):19-69.
    The rise of big digital data is changing the framework within which linguists, sociologists, anthropologists, and other researchers are working. Semiotics is not spared by this paradigm shift. A data-driven computational semiotics is the study with an intensive use of computational methods of patterns in human-created contents related to semiotic phenomena. One of the most promising frameworks in this research program is the Semantic Vector Space (SVS) models and their methods. The objective of this article is to contribute to (...)
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  39. Follow the Math!: The Mathematics of Quantum Mechanics as the Mathematics of Set Partitions Linearized to (Hilbert) Vector Spaces.David Ellerman - 2022 - Foundations of Physics 52 (5):1-40.
    The purpose of this paper is to show that the mathematics of quantum mechanics is the mathematics of set partitions linearized to vector spaces, particularly in Hilbert spaces. That is, the math of QM is the Hilbert space version of the math to describe objective indefiniteness that at the set level is the math of partitions. The key analytical concepts are definiteness versus indefiniteness, distinctions versus indistinctions, and distinguishability versus indistinguishability. The key machinery to go from indefinite (...)
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  40.  13
    Almost Disjoint and Mad Families in Vector Spaces and Choice Principles.Eleftherios Tachtsis - 2022 - Journal of Symbolic Logic 87 (3):1093-1110.
    In set theory without the Axiom of Choice ( $\mathsf {AC}$ ), we investigate the open problem of the deductive strength of statements which concern the existence of almost disjoint and maximal almost disjoint (MAD) families of infinite-dimensional subspaces of a given infinite-dimensional vector space, as well as the extension of almost disjoint families in infinite-dimensional vector spaces to MAD families.
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  41.  16
    Dependence relations in computably rigid computable vector spaces.Rumen D. Dimitrov, Valentina S. Harizanov & Andrei S. Morozov - 2005 - Annals of Pure and Applied Logic 132 (1):97-108.
    We construct a computable vector space with the trivial computable automorphism group, but with the dependence relations as complicated as possible, measured by their Turing degrees. As a corollary, we answer a question asked by A.S. Morozov in [Rigid constructive modules, Algebra and Logic, 28 570–583 ; 379–387 ].
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  42.  8
    Identifying the Correlations Between the Semantics and the Phonology of American Sign Language and British Sign Language: A Vector Space Approach.Aurora Martinez del Rio, Casey Ferrara, Sanghee J. Kim, Emre Hakgüder & Diane Brentari - 2022 - Frontiers in Psychology 13.
    Over the history of research on sign languages, much scholarship has highlighted the pervasive presence of signs whose forms relate to their meaning in a non-arbitrary way. The presence of these forms suggests that sign language vocabularies are shaped, at least in part, by a pressure toward maintaining a link between form and meaning in wordforms. We use a vector space approach to test the ways this pressure might shape sign language vocabularies, examining how non-arbitrary forms are distributed within (...)
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  43.  7
    Non-representable relation algebras from vector spaces.Ian Hodkinson - 2020 - Australasian Journal of Logic 17 (2):82-109.
    Extending a construction of Andreka, Givant, and Nemeti (2019), we construct some finite vector spaces and use them to build finite non-representable relation algebras. They are simple, measurable, and persistently finite, and they validate arbitrary finite sets of equations that are valid in the variety RRA of representable relation algebras. It follows that there is no finitely axiomatisable class of relation algebras that contains RRA and validates every equation that is both valid in RRA and preserved by completions (...)
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  44.  14
    Elimination of quantifiers over vectors in some theories of vector spaces.Andrey A. Kuzichev - 1992 - Mathematical Logic Quarterly 38 (1):575-577.
    We consider two-sorted theories of vector spaces and prove a criterion for the assertion that such a theory allows elimination of quantifiers over vector variables.
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  45.  62
    Complex Vector Formalism of Harmonic Oscillator in Geometric Algebra: Particle Mass, Spin and Dynamics in Complex Vector Space.K. Muralidhar - 2014 - Foundations of Physics 44 (3):266-295.
    Elementary particles are considered as local oscillators under the influence of zeropoint fields. Such oscillatory behavior of the particles leads to the deviations in their path of motion. The oscillations of the particle in general may be considered as complex rotations in complex vector space. The local particle harmonic oscillator is analyzed in the complex vector formalism considering the algebra of complex vectors. The particle spin is viewed as zeropoint angular momentum represented by a bivector. It has been (...)
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  46.  50
    Lorentz Invariant Decompositions of the State Vector Spaces and the Basis Problem.Yanghyun Byun - 2004 - Foundations of Physics 34 (6):987-1003.
    We consider a representation of the state reduction which depends neither on its reality nor on the details of when and how it emerges. Then by means of the representation we find necessary conditions, even if not the sufficient ones, for a decomposition of the state vector space to be a solution to the basis problem. The conditions are that the decomposition should be Lorentz invariant and orthogonal and that the associated projections should be continuous. They are shown to (...)
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  47.  13
    On R.e. And CO-R.E. Vector spaces with nonextendible bases.J. Remmel - 1980 - Journal of Symbolic Logic 45 (1):20-34.
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  48.  18
    Infinitary properties of valued and ordered vector spaces.Salma Kuhlmann - 1999 - Journal of Symbolic Logic 64 (1):216-226.
    §1. Introduction.The motivation of this work comes from two different directions: infinite abelian groups, and ordered algebraic structures. A challenging problem in both cases is that of classification. In the first case, it is known for example (cf. [KA]) that the classification of abelian torsion groups amounts to that of reducedp-groups by numerical invariants called theUlm invariants(given by Ulm in [U]). Ulm's theorem was later generalized by P. Hill to the class of totally projective groups. As to the second case, (...)
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  49.  20
    Theory of Stochastic Schrödinger Equation in Complex Vector Space.Kundeti Muralidhar - 2017 - Foundations of Physics 47 (4):532-552.
    A generalized Schrödinger equation containing correction terms to classical kinetic energy, has been derived in the complex vector space by considering an extended particle structure in stochastic electrodynamics with spin. The correction terms are obtained by considering the internal complex structure of the particle which is a consequence of stochastic average of particle oscillations in the zeropoint field. Hence, the generalised Schrödinger equation may be called stochastic Schrödinger equation. It is found that the second order correction terms are similar (...)
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  50.  9
    On the lattices of NP-subspaces of a polynomial time vector space over a finite field.Anil Nerode & J. B. Remmel - 1996 - Annals of Pure and Applied Logic 81 (1-3):125-170.
    In this paper, we study the lower semilattice of NP-subspaces of both the standard polynomial time representation and the tally polynomial time representation of a countably infinite dimensional vector space V∞ over a finite field F. We show that for both the standard and tally representation of V∞, there exists polynomial time subspaces U and W such that U + V is not recursive. We also study the NP analogues of simple and maximal subspaces. We show that the existence (...)
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