Results for 'Logic vector'

953 found
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  1.  49
    The Operators of Vector Logic.Eduardo Mizraji - 1996 - Mathematical Logic Quarterly 42 (1):27-40.
    Vector logic is a mathematical model of the propositional calculus in which the logical variables are represented by vectors and the logical operations by matrices. In this framework, many tautologies of classical logic are intrinsic identities between operators and, consequently, they are valid beyond the bivalued domain. The operators can be expressed as Kronecker polynomials. These polynomials allow us to show that many important tautologies of classical logic are generated from basic operators via the operations called (...)
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  2.  17
    Vector logic allows counterfactual virtualization by the square root of NOT.Eduardo Mizraji - 2021 - Logic Journal of the IGPL 29 (5):859-870.
    In this work, we investigate the representation of counterfactual conditionals using the vector logic, a matrix-vector formalism for logical functions and truth values. Inside this formalism, the counterfactuals can be transformed in complex matrices preprocessing an implication matrix with one of the square roots of NOT, a complex matrix. This mathematical approach puts in evidence the virtual character of the counterfactuals. This happens because this representation produces a valuation of a counterfactual that is the superposition of the (...)
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  3. Static and dynamic vector semantics for lambda calculus models of natural language.Mehrnoosh Sadrzadeh & Reinhard Muskens - 2018 - Journal of Language Modelling 6 (2):319-351.
    Vector models of language are based on the contextual aspects of language, the distributions of words and how they co-occur in text. Truth conditional models focus on the logical aspects of language, compositional properties of words and how they compose to form sentences. In the truth conditional approach, the denotation of a sentence determines its truth conditions, which can be taken to be a truth value, a set of possible worlds, a context change potential, or similar. In the (...) models, the degree of co-occurrence of words in context determines how similar the meanings of words are. In this paper, we put these two models together and develop a vector semantics for language based on the simply typed lambda calculus models of natural language. We provide two types of vector semantics: a static one that uses techniques familiar from the truth conditional tradition and a dynamic one based on a form of dynamic interpretation inspired by Heim’s context change potentials. We show how the dynamic model can be applied to entailment between a corpus and a sentence and provide examples. (shrink)
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  4.  68
    Semantic Vector Models and Functional Models for Pregroup Grammars.Anne Preller & Mehrnoosh Sadrzadeh - 2011 - Journal of Logic, Language and Information 20 (4):419-443.
    We show that vector space semantics and functional semantics in two-sorted first order logic are equivalent for pregroup grammars. We present an algorithm that translates functional expressions to vector expressions and vice-versa. The semantics is compositional, variable free and invariant under change of order or multiplicity. It includes the semantic vector models of Information Retrieval Systems and has an interior logic admitting a comprehension schema. A sentence is true in the interior logic if and (...)
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  5. Vector reliability: A new approach to epistemic justification.Mark E. Wunderlich - 2003 - Synthese 136 (2):237 - 262.
    Critics of reliability theories of epistemic justificationoften claim that the `generality problem' is an insurmountabledifficulty for such theories. The generality problem is theproblem of specifying the level of generality at which abelief-forming process is to be described for the purposeof assessing its reliability. This problem is not asintractable as it seems. There are illuminating solutionsto analogous problems in the ethics literature. Reliabilistsought to attend to utilitarian approaches to choices betweeninfinite utility streams; they also ought to attend towelfarist approaches to social (...)
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  6.  17
    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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  7. On vectorizations of unary generalized quantifiers.Kerkko Luosto - 2012 - Archive for Mathematical Logic 51 (3):241-255.
    Vectorization of a class of structures is a natural notion in finite model theory. Roughly speaking, vectorizations allow tuples to be treated similarly to elements of structures. The importance of vectorizations is highlighted by the fact that if the complexity class PTIME corresponds to a logic with reasonable syntax, then it corresponds to a logic generated via vectorizations by a single generalized quantifier (Dawar in J Log Comput 5(2):213–226, 1995). It is somewhat surprising, then, that there have been (...)
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  8.  25
    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 over algebraically (...)
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  9.  30
    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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  10. 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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  11.  51
    Vector potential and Riemannian space.C. Lanczos - 1974 - Foundations of Physics 4 (1):137-147.
    This paper uncovers the basic reason for the mysterious change of sign from plus to minus in the fourth coordinate of nature's Pythagorean law, usually accepted on empirical grounds, although it destroys the rational basis of a Riemannian geometry. Here we assume a genuine, positive-definite Riemannian space and an action principle which is quadratic in the curvature quantities (and thus scale invariant). The constant σ between the two basic invariants is equated to1/2. Then the matter tensor has the trace zero. (...)
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  12.  32
    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 that (...)
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  13.  30
    On the relation between vector annotated logic programs and defeasible theories.Kazumi Nakamatsu - 2000 - Logic and Logical Philosophy 8:181.
    In this paper, we propose an annotated logic program called aVALPSN to dealwith defeasible reasoning. We propose a translation from Billington’s defeasible theory into VALPSN and clarify the relation between them based onthe translation.
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  14.  25
    On vector spaces over specific fields without choice.Paul Howard & Eleftherios Tachtsis - 2013 - Mathematical Logic Quarterly 59 (3):128-146.
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  15.  39
    Modalities in vector logic.Eduardo Mizraji - 1994 - Notre Dame Journal of Formal Logic 35 (2):272-283.
  16.  45
    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.
  17.  37
    Abduction and the Logic of Inquiry: Modern Epistemic Vectors.Jay Schulkin - 2021 - In John R. Shook & Sami Paavola, Abduction in Cognition and Action: Logical Reasoning, Scientific Inquiry, and Social Practice. Springer Verlag. pp. 231-246.
    CS Peirce introduced the concept of abduction into our epistemic lexicon. It is a view of problem solving that emphasizes ecological contexts, preparatory or predictive predilection knotted to learning and inquiry. Abduction is essentially tied more broadly to pragmatism. One view of the brain reflects the fact that predictive predilections knotted to abduction or hypothesis testing dominates the landscape of diverse forms of problem solving. Abduction is biologically constrained and contextual, not a monolithic term and runs the range of neural (...)
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  18.  59
    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 (...)
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  19.  35
    A Type-Driven Vector Semantics for Ellipsis with Anaphora Using Lambek Calculus with Limited Contraction.Gijs Wijnholds & Mehrnoosh Sadrzadeh - 2019 - Journal of Logic, Language and Information 28 (2):331-358.
    We develop a vector space semantics for verb phrase ellipsis with anaphora using type-driven compositional distributional semantics based on the Lambek calculus with limited contraction of Jäger. Distributional semantics has a lot to say about the statistical collocation based meanings of content words, but provides little guidance on how to treat function words. Formal semantics on the other hand, has powerful mechanisms for dealing with relative pronouns, coordinators, and the like. Type-driven compositional distributional semantics brings these two models together. (...)
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  20.  21
    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 concerning their (...)
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  21.  44
    Vector spaces and binary quantifiers.Michał Krynicki, Alistair Lachlan & Jouko Väänänen - 1984 - Notre Dame Journal of Formal Logic 25 (1):72-78.
  22.  80
    Countable vector spaces with recursive operations Part II.J. C. E. Dekker - 1971 - Journal of Symbolic Logic 36 (3):477-493.
  23.  78
    Countable vector spaces with recursive operations Part I1.J. C. E. Dekker - 1969 - Journal of Symbolic Logic 34 (3):363-387.
  24.  37
    Reasoning with vectors: A continuous model for fast robust inference.Dominic Widdows & Trevor Cohen - 2015 - Logic Journal of the IGPL 23 (2):141-173.
    This article describes the use of continuous vector space models for reasoning with a formal knowledge base. The practical significance of these models is that they support fast, approximate but robust inference and hypothesis generation, which is complementary to the slow, exact, but sometimes brittle behaviour of more traditional deduction engines such as theorem provers.The article explains the way logical connectives can be used in semantic vector models, and summarizes the development of Predication-based Semantic Indexing, which involves the (...)
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  25.  38
    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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  26.  22
    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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  27.  58
    Collapse of the state vector and psychokinetic effect.Helmut Schmidt - 1982 - Foundations of Physics 12 (6):565-581.
    Eugene Wigner and others have speculated that the “collapse of the state vector” during an observation might be a physically real process so that some modification of current quantum theory would be required to describe the interaction with a conscious observer appropriately.Experimental reports on the “psychokinetic effect” as a mental influence on the outcome of quantum jumps suggest that perhaps this effect might be vital for an understanding of the observer's role in quantum mechanics.Combining these two speculations we introduce (...)
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  28.  46
    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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  29.  15
    Vector spaces with a dense-codense generic submodule.Alexander Berenstein, Christian D'Elbée & Evgueni Vassiliev - 2024 - Annals of Pure and Applied Logic 175 (7):103442.
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  30.  18
    Witt Vectors and Separably Closed Fields with Higher Derivations.Daniel Max Hoffmann - 2023 - Notre Dame Journal of Formal Logic 64 (2):173-184.
    The main scope of this short article is to provide a modification of the axioms given by Messmer and Wood for the theory of separably closed fields of positive characteristic and finite imperfectness degree. As their original axioms failed to meet natural expectations, a new axiomatization was given (i.e., Ziegler’s one), but the new axioms do not follow Messmer and Wood’s initial idea. Therefore, we aim to give a correct axiomatization that is more similar to the original one and that, (...)
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  31.  49
    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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  32. 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 to more (...)
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  33.  40
    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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  34.  55
    (1 other version)Bisimulations and Boolean Vectors.Melvin Fitting - 1998 - In Marcus Kracht, Maarten de Rijke, Heinrich Wansing & Michael Zakharyaschev, Advances in Modal Logic. CSLI Publications. pp. 97-125.
    A modal accessibility relation is just a transition relation, and so can be represented by a {0, 1} valued transition matrix. Starting from this observation, I first show that the machinery of matrices, over Boolean algebras more general than the two-valued one, is appropriate for investigating multi-modal semantics. Then I show that bisimulations have a rather elegant theory, when expressed in terms of transformations on Boolean vector spaces. The resulting theory is a curious hybrid, fitting between conventional modal semantics (...)
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  35.  31
    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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  36.  22
    Modified LDA Vector and Feedback Analysis for Short Query Information Retrieval Systems.Pedro Celard, Eva Lorenzo Iglesias, JosÉ Manuel Sorribes-Fdez, RubÉn Romero, AdriÁn Seara Vieira & Lourdes Borrajo - forthcoming - Logic Journal of the IGPL.
    Information Retrieval systems benefit from the use of long queries containing a large volume of search-relevant information. This situation is not common, as users of such systems tend to use very short and precise queries with few keywords. In this work we propose a modification of the Latent Dirichlet Allocation (LDA) technique using data from the document collection and its vocabulary for a better representation of short queries. Additionally, a study is carried out on how the modification of the proposed (...)
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  37. Context Update for Lambdas and Vectors.Reinhard Muskens & Mehrnoosh Sadrzadeh - 2016 - In Maxime Amblard, Philippe de Groote, Sylvain Pogodalla & Christian Rétoré, Logical Aspects of Computational Linguistics. Celebrating 20 Years of LACL (1996–2016). Berlin, Germany: Springer. pp. 247--254.
    Vector models of language are based on the contextual aspects of words and how they co-occur in text. Truth conditional models focus on the logical aspects of language, the denotations of phrases, and their compositional properties. In the latter approach the denotation of a sentence determines its truth conditions and can be taken to be a truth value, a set of possible worlds, a context change potential, or similar. In this short paper, we develop a vector semantics for (...)
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  38.  27
    (1 other version)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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  39.  24
    Petri nets, Horn programs, Linear Logic and vector games.Max I. Kanovich - 1995 - Annals of Pure and Applied Logic 75 (1-2):107-135.
    Linear Logic was introduced by Girard as a resource-sensitive refinement of classical logic. In this paper we establish strong connections between natural fragments of Linear Logic and a number of basic concepts related to different branches of Computer Science such as Concurrency Theory, Theory of Computations, Horn Programming and Game Theory. In particular, such complete correlations allow us to introduce several new semantics for Linear Logic and to clarify many results on the complexity of natural fragments (...)
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  40.  33
    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. sets $B<_{\rm (...)
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  41.  23
    A support vector regression model for time series forecasting of the COMEX copper spot price.Esperanza García-Gonzalo, Paulino José García Nieto, Javier Gracia Rodríguez, Fernando Sánchez Lasheras & Gregorio Fidalgo Valverde - 2023 - Logic Journal of the IGPL 31 (4):775-784.
    The price of copper is unstable but it is considered an important indicator of the global economy. Changes in the price of copper point to higher global growth or an impending recession. In this work, the forecasting of the spot prices of copper from the New York Commodity Exchange is studied using a machine learning method, support vector regression coupled with different model schemas (recursive, direct and hybrid multi-step). Using these techniques, three different time series analyses are built and (...)
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  42.  40
    Division rings whose vector spaces are pseudofinite.Lou van den Dries & 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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  43.  29
    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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  44.  19
    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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  45.  39
    Two notes on vector spaces with recursive operations.J. C. E. Dekker - 1971 - Notre Dame Journal of Formal Logic 12 (3):329-334.
  46.  61
    Maximal and cohesive vector spaces.J. B. Remmel - 1977 - Journal of Symbolic Logic 42 (3):400-418.
  47.  39
    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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  48.  35
    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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  49.  73
    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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  50.  44
    Partitioning large vector spaces.James H. Schmerl - 2003 - Journal of Symbolic Logic 68 (4):1171-1180.
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