Results for 'polynomial proofs'

995 found
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  1.  38
    Polynomial size proofs of the propositional pigeonhole principle.Samuel R. Buss - 1987 - Journal of Symbolic Logic 52 (4):916-927.
    Cook and Reckhow defined a propositional formulation of the pigeonhole principle. This paper shows that there are Frege proofs of this propositional pigeonhole principle of polynomial size. This together with a result of Haken gives another proof of Urquhart's theorem that Frege systems have an exponential speedup over resolution. We also discuss connections to provability in theories of bounded arithmetic.
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  2. Polynomial ring calculus for modal logics: A new semantics and proof method for modalities: Polynomial ring calculus for modal logics.Juan C. Agudelo - 2011 - Review of Symbolic Logic 4 (1):150-170.
    A new proof style adequate for modal logics is defined from the polynomial ring calculus. The new semantics not only expresses truth conditions of modal formulas by means of polynomials, but also permits to perform deductions through polynomial handling. This paper also investigates relationships among the PRC here defined, the algebraic semantics for modal logics, equational logics, the Dijkstra???Scholten equational-proof style, and rewriting systems. The method proposed is throughly exemplified for S 5, and can be easily extended to (...)
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  3.  24
    Polynomially and superexponentially shorter proofs in fragments of arithmetic.Franco Montagna - 1992 - Journal of Symbolic Logic 57 (3):844-863.
  4.  6
    Completeness proofs for propositional logic with polynomial-time connectives.John N. Crossley & Philip J. Scott - 1989 - Annals of Pure and Applied Logic 44 (1-2):39-52.
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  5.  4
    Herbrand analysis of 2 proofs of the Roth theorem-polynomial Bounds.H. Luckhardt - 1989 - Journal of Symbolic Logic 54 (1):234-263.
    A previously unexplored method, combining logical and mathematical elements, is shown to yield substantial numerical improvements in the area of Diophantine approximations. Kreisel illustrated the method abstractly by noting that effective bounds on the number of elements are ensured if Herbrand terms from ineffective proofs ofΣ2-finiteness theorems satisfy certain simple growth conditions. Here several efficient growth conditions for the same purpose are presented that are actually satisfied in practice, in particular, by the proofs of Roth's theorem due to (...))
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  6.  20
    Short Proofs for Slow Consistency.Anton Freund & Fedor Pakhomov - 2020 - Notre Dame Journal of Formal Logic 61 (1):31-49.
    Let Con↾x denote the finite consistency statement “there are no proofs of contradiction in T with ≤x symbols.” For a large class of natural theories T, Pudlák has shown that the lengths of the shortest proofs of Con↾n in the theory T itself are bounded by a polynomial in n. At the same time he conjectures that T does not have polynomial proofs of the finite consistency statements Con)↾n. In contrast, we show that Peano arithmetic (...)
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  7.  28
    Realization of Intuitionistic Logic by Proof Polynomials.Sergei N. Artemov - 1999 - Journal of Applied Non-Classical Logics 9 (2-3):285-301.
    ABSTRACT In 1933 Gödel introduced an axiomatic system, currently known as S4, for a logic of an absolute provability, i.e. not depending on the formalism chosen ([God 33]). The problem of finding a fair provability model for S4 was left open. The famous formal provability predicate which first appeared in the Gödel Incompleteness Theorem does not do this job: the logic of formal provability is not compatible with S4. As was discovered in [Art 95], this defect of the formal provability (...)
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  8.  34
    The polynomial and linear hierarchies in models where the weak pigeonhole principle fails.Leszek Aleksander Kołodziejczyk & Neil Thapen - 2008 - Journal of Symbolic Logic 73 (2):578-592.
    We show, under the assumption that factoring is hard, that a model of PV exists in which the polynomial hierarchy does not collapse to the linear hierarchy; that a model of S21 exists in which NP is not in the second level of the linear hierarchy; and that a model of S21 exists in which the polynomial hierarchy collapses to the linear hierarchy. Our methods are model-theoretic. We use the assumption about factoring to get a model in which (...)
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  9. Polynomial time operations in explicit mathematics.Thomas Strahm - 1997 - Journal of Symbolic Logic 62 (2):575-594.
    In this paper we study (self)-applicative theories of operations and binary words in the context of polynomial time computability. We propose a first order theory PTO which allows full self-application and whose provably total functions on W = {0, 1} * are exactly the polynomial time computable functions. Our treatment of PTO is proof-theoretic and very much in the spirit of reductive proof theory.
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  10. Polynomial Time Operations in Explicit Mathematics.Thomas Strahm - 1997 - Journal of Symbolic Logic 62 (2):575-594.
    In this paper we study -applicative theories of operations and binary words in the context of polynomial time computability. We propose a first order theory PTO which allows full self-application and whose provably total functions on $\mathbb{W} = \{0, 1\}^\ast$ are exactly the polynomial time computable functions. Our treatment of PTO is proof-theoretic and very much in the spirit of reductive proof theory.
     
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  11.  33
    Polynomizing: Logic inference in polynomial format and the legacy of Boole.Walter Carnielli - 2007 - In L. Magnani & P. Li (eds.), Model-Based Reasoning in Science, Technology, and Medicine. Springer. pp. 349--364.
    Polynomizing is a term that intends to describe the uses of polynomial-like representations as a reasoning strategy and as a tool for scientific heuristics. I show how proof-theory and semantics for classical and several non-classical logics can be approached from this perspective, and discuss the assessment of this prospect, in particular to recover certain ideas of George Boole in unifying logic, algebra and the differential calculus.
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  12. Leloup, G., Rings of monoids elementarily equivalent to polynomial rings Miller, C., Expansions of the real field with power functions Ozawa, M., Forcing in nonstandard analysis Rathjen, M., Proof theory of reflection. [REVIEW]L. D. Beklemishev, O. V. Belegradek, K. J. Davey & J. L. Krivine - 1994 - Annals of Pure and Applied Logic 68:343.
  13.  89
    On the polynomial-space completeness of intuitionistic propositional logic.Vítězslav Švejdar - 2003 - Archive for Mathematical Logic 42 (7):711-716.
    We present an alternative, purely semantical and relatively simple, proof of the Statman's result that both intuitionistic propositional logic and its implicational fragment are PSPACE-complete.
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  14.  43
    The Analytic Polynomial-Time Hierarchy.Herbert Baier & Klaus W. Wagner - 1998 - Mathematical Logic Quarterly 44 (4):529-544.
    Motivated by results on interactive proof systems we investigate an ∃-∀hierarchy over P using word quantifiers as well as two types of set quantifiers. This hierarchy, which extends the polynomial-time hierarchy, is called the analytic polynomial-time hierarchy. It is shown that every class of this hierarchy coincides with one of the following Classes: ∑math image, Πmath image , PSPACE, ∑math image or Πmath image . This improves previous results by Orponen [6] and allows interesting comparisons with the above (...)
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  15.  55
    Proof Compression and NP Versus PSPACE.L. Gordeev & E. H. Haeusler - 2019 - Studia Logica 107 (1):53-83.
    We show that arbitrary tautologies of Johansson’s minimal propositional logic are provable by “small” polynomial-size dag-like natural deductions in Prawitz’s system for minimal propositional logic. These “small” deductions arise from standard “large” tree-like inputs by horizontal dag-like compression that is obtained by merging distinct nodes labeled with identical formulas occurring in horizontal sections of deductions involved. The underlying geometric idea: if the height, h(∂), and the total number of distinct formulas, ϕ(∂), of a given tree-like deduction ∂ of a (...)
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  16.  80
    Canonical proof nets for classical logic.Richard McKinley - 2013 - Annals of Pure and Applied Logic 164 (6):702-732.
    Proof nets provide abstract counterparts to sequent proofs modulo rule permutations; the idea being that if two proofs have the same underlying proof-net, they are in essence the same proof. Providing a convincing proof-net counterpart to proofs in the classical sequent calculus is thus an important step in understanding classical sequent calculus proofs. By convincing, we mean that there should be a canonical function from sequent proofs to proof nets, it should be possible to check (...)
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  17.  26
    Proof Compression and NP Versus PSPACE II.Lew Gordeev & Edward Hermann Haeusler - 2020 - Bulletin of the Section of Logic 49 (3):213-230.
    We upgrade [3] to a complete proof of the conjecture NP = PSPACE that is known as one of the fundamental open problems in the mathematical theory of computational complexity; this proof is based on [2]. Since minimal propositional logic is known to be PSPACE complete, while PSPACE to include NP, it suffices to show that every valid purely implicational formula ρ has a proof whose weight and time complexity of the provability involved are both polynomial in the weight (...)
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  18.  33
    Propositional Proof Systems and Fast Consistency Provers.Joost J. Joosten - 2007 - Notre Dame Journal of Formal Logic 48 (3):381-398.
    A fast consistency prover is a consistent polytime axiomatized theory that has short proofs of the finite consistency statements of any other polytime axiomatized theory. Krajíček and Pudlák have proved that the existence of an optimal propositional proof system is equivalent to the existence of a fast consistency prover. It is an easy observation that NP = coNP implies the existence of a fast consistency prover. The reverse implication is an open question. In this paper we define the notion (...)
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  19.  9
    Monotone Proofs of the Pigeon Hole Principle.R. Gavalda, A. Atserias & N. Galesi - 2001 - Mathematical Logic Quarterly 47 (4):461-474.
    We study the complexity of proving the Pigeon Hole Principle in a monotone variant of the Gentzen Calculus, also known as Geometric Logic. We prove a size-depth trade-off upper bound for monotone proofs of the standard encoding of the PHP as a monotone sequent. At one extreme of the trade-off we get quasipolynomia -size monotone proofs, and at the other extreme we get subexponential-size bounded-depth monotone proofs. This result is a consequence of deriving the basic properties of (...)
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  20. Frege proof system and TNC°.Gaisi Takeuti - 1998 - Journal of Symbolic Logic 63 (2):709 - 738.
    A Frege proof systemFis any standard system of prepositional calculus, e.g., a Hilbert style system based on finitely many axiom schemes and inference rules. An Extended Frege systemEFis obtained fromFas follows. AnEF-sequence is a sequence of formulas ψ1, …, ψκsuch that eachψiis either an axiom ofF, inferred from previous ψuand ψv by modus ponens or of the formq↔ φ, whereqis an atom occurring neither in φ nor in any of ψ1,…,ψi−1. Suchq↔ φ, is called an extension axiom andqa new extension (...)
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  21.  26
    Proof mining in L1-approximation.Ulrich Kohlenbach & Paulo Oliva - 2003 - Annals of Pure and Applied Logic 121 (1):1-38.
    In this paper, we present another case study in the general project of proof mining which means the logical analysis of prima facie non-effective proofs with the aim of extracting new computationally relevant data. We use techniques based on monotone functional interpretation developed in Kohlenbach , Oxford University Press, Oxford, 1996, pp. 225–260) to analyze Cheney's simplification 189) of Jackson's original proof 320) of the uniqueness of the best L1-approximation of continuous functions fC[0,1] by polynomials pPn of degree n. (...)
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  22.  17
    Proofs of regular identities.Ewa Graczynska & Francis Pastijn - 1981 - Bulletin of the Section of Logic 10 (1):35-37.
    This is an abstract of the paper to be submitted to Houston Journal of Mathematics. Our nomenclature and notation will be basically those of [3]. We shall consider algebras of type : T ! N, where T is a nonempty set, and N the set of all positive integers. By V we denote the set of all variables occurring in a polynomial symbol p. An identity p = q is called strongly non-regular if it is of the form p (...)
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  23.  10
    Frege Proof System and TNC$^circ$.Gaisi Takeuti - 1998 - Journal of Symbolic Logic 63 (2):709-738.
    A Frege proof systemFis any standard system of prepositional calculus, e.g., a Hilbert style system based on finitely many axiom schemes and inference rules. An Extended Frege systemEFis obtained fromFas follows. AnEF-sequence is a sequence of formulas ψ1, …, ψκsuch that eachψiis either an axiom ofF, inferred from previous ψuand ψv by modus ponens or of the formq↔ φ, whereqis an atom occurring neither in φ nor in any of ψ1,…,ψi−1. Suchq↔ φ, is called an extension axiom andqa new extension (...)
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  24.  46
    Implicit Proofs.Jan Krajíček - 2004 - Journal of Symbolic Logic 69 (2):387 - 397.
    We describe a general method how to construct from a propositional proof system P a possibly much stronger proof system iP. The system iP operates with exponentially long P-proofs described "implicitly" by polynomial size circuits. As an example we prove that proof system iEF, implicit EF, corresponds to bounded arithmetic theory $V_{2}^{1}$ and hence, in particular, polynomially simulates the quantified propositional calculus G and the $\pi_{1}^{b}-consequences$ of $S_{2}^{1}$ proved with one use of exponentiation. Furthermore, the soundness of iEF (...)
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  25. Mathematical Explanation beyond Explanatory Proof.William D’Alessandro - 2017 - British Journal for the Philosophy of Science 71 (2):581-603.
    Much recent work on mathematical explanation has presupposed that the phenomenon involves explanatory proofs in an essential way. I argue that this view, ‘proof chauvinism’, is false. I then look in some detail at the explanation of the solvability of polynomial equations provided by Galois theory, which has often been thought to revolve around an explanatory proof. The article concludes with some general worries about the effects of chauvinism on the theory of mathematical explanation. 1Introduction 2Why I Am (...)
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  26.  76
    Light affine lambda calculus and polynomial time strong normalization.Kazushige Terui - 2007 - Archive for Mathematical Logic 46 (3-4):253-280.
    Light Linear Logic (LLL) and Intuitionistic Light Affine Logic (ILAL) are logics that capture polynomial time computation. It is known that every polynomial time function can be represented by a proof of these logics via the proofs-as-programs correspondence. Furthermore, there is a reduction strategy which normalizes a given proof in polynomial time. Given the latter polynomial time “weak” normalization theorem, it is natural to ask whether a “strong” form of polynomial time normalization theorem holds (...)
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  27.  11
    On the Existence of Strong Proof Complexity Generators.Jan Krajíček - 2024 - Bulletin of Symbolic Logic 30 (1):20-40.
    Cook and Reckhow [5] pointed out that $\mathcal {N}\mathcal {P} \neq co\mathcal {N}\mathcal {P}$ iff there is no propositional proof system that admits polynomial size proofs of all tautologies. The theory of proof complexity generators aims at constructing sets of tautologies hard for strong and possibly for all proof systems. We focus on a conjecture from [16] in foundations of the theory that there is a proof complexity generator hard for all proof systems. This can be equivalently formulated (...)
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  28.  29
    Propositional consistency proofs.Samuel R. Buss - 1991 - Annals of Pure and Applied Logic 52 (1-2):3-29.
    Partial consistency statements can be expressed as polynomial-size propositional formulas. Frege proof systems have polynomial-size partial self-consistency proofs. Frege proof systems have polynomial-size proofs of partial consistency of extended Frege proof systems if and only if Frege proof systems polynomially simulate extended Frege proof systems. We give a new proof of Reckhow's theorem that any two Frege proof systems p-simulate each other. The proofs depend on polynomial size propositional formulas defining the truth of (...)
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  29.  30
    Quasipolynomial size Frege proofs of frankl’s theorem on the trace of sets.James Aisenberg, Maria Luisa Bonet & Sam Buss - 2016 - Journal of Symbolic Logic 81 (2):687-710.
    We extend results of Bonet, Buss and Pitassi on Bondy’s Theorem and of Nozaki, Arai and Arai on Bollobás’ Theorem by proving that Frankl’s Theorem on the trace of sets has quasipolynomial size Frege proofs. For constant values of the parametert, we prove that Frankl’s Theorem has polynomial size AC0-Frege proofs from instances of the pigeonhole principle.
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  30.  16
    A remark on pseudo proof systems and hard instances of the satisfiability problem.Jan Maly & Moritz Müller - 2018 - Mathematical Logic Quarterly 64 (6):418-428.
    We link two concepts from the literature, namely hard sequences for the satisfiability problem sat and so‐called pseudo proof systems proposed for study by Krajíček. Pseudo proof systems are elements of a particular nonstandard model constructed by forcing with random variables. We show that the existence of mad pseudo proof systems is equivalent to the existence of a randomized polynomial time procedure with a highly restrictive use of randomness which produces satisfiable formulas whose satisfying assignments are probably hard to (...)
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  31.  98
    Proving theorems of the second order Lambek calculus in polynomial time.Erik Aarts - 1994 - Studia Logica 53 (3):373 - 387.
    In the Lambek calculus of order 2 we allow only sequents in which the depth of nesting of implications is limited to 2. We prove that the decision problem of provability in the calculus can be solved in time polynomial in the length of the sequent. A normal form for proofs of second order sequents is defined. It is shown that for every proof there is a normal form proof with the same axioms. With this normal form we (...)
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  32.  53
    On different proof-search strategies for orthologic.Uwe Egly & Hans Tompits - 2003 - Studia Logica 73 (1):131 - 152.
    In this paper, we consider three different search strategies for a cut-free sequent system formalizing orthologic, and estimate the respective search spaces. Applying backward search, there are classes of formulae for which both the minimal proof length and the search space are exponential. In a combined forward and backward approach, all proofs are polynomial, but the potential search space remains exponential. Using a forward strategy, the potential search space becomes polynomial yielding a polynomial decision procedure for (...)
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  33.  4
    On Different Proof-Search Strategies for Orthologic.Uwe Egly & Hans Tompits - 2003 - Studia Logica 73 (1):131-152.
    In this paper, we consider three different search strategies for a cut-free sequent system formalizing orthologic, and estimate the respective search spaces. Applying backward search, there are classes of formulae for which both the minimal proof length and the search space are exponential. In a combined forward and backward approach, all proofs are polynomial, but the potential search space remains exponential. Using a forward strategy, the potential search space becomes polynomial yielding a polynomial decision procedure for (...)
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  34.  42
    A note on propositional proof complexity of some Ramsey-type statements.Jan Krajíček - 2011 - Archive for Mathematical Logic 50 (1-2):245-255.
    A Ramsey statement denoted \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${n \longrightarrow (k)^2_2}$$\end{document} says that every undirected graph on n vertices contains either a clique or an independent set of size k. Any such valid statement can be encoded into a valid DNF formula RAM(n, k) of size O(nk) and with terms of size \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\left(\begin{smallmatrix}k\\2\end{smallmatrix}\right)}$$\end{document}. Let rk be the minimal n for which the statement holds. We prove that (...)
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  35.  31
    Homology of proof-nets.François Métayer - 1994 - Archive for Mathematical Logic 33 (3):169-188.
    This work defines homology groups for proof-structures in multiplicative linear logic (see [Gir1], [Gir2], [Dan]). We will show that these groups characterize proof-nets among arbitrary proof-structures, thus obtaining a new correctness criterion and of course a new polynomial algorithm for testing correctness. This homology also bears information on sequentialization. An unexpected geometrical interpretation of the linear connectives is given in the last section. This paper exclusively focuses onabstract proof-structures, i.e. paired-graphs. The relation with actual proofs is investigated in (...)
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  36.  17
    A parity-based Frege proof for the symmetric pigeonhole principle.Steve Firebaugh - 1993 - Notre Dame Journal of Formal Logic 34 (4):597-601.
    Sam Buss produced the first polynomial size Frege proof of thepigeonhole principle. We introduce a variation of that problem and producea simpler proof based on parity. The proof appearing here has an upperbound that is quadratic in the size of the input formula.
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  37.  49
    Linear logic proof games and optimization.Patrick D. Lincoln, John C. Mitchell & Andre Scedrov - 1996 - Bulletin of Symbolic Logic 2 (3):322-338.
    § 1. Introduction. Perhaps the most surprising recent development in complexity theory is the discovery that the class NP can be characterized using a form of randomized proof checker that only examines a constant number of bits of the “proof” that a string is in a language [6, 5, 31, 3, 4]. More specifically, writing ∣x∣ for the length of a string x, a language L in the class NP of languages recognizable in Nondeterministic polynomial time is traditionally given (...)
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  38.  9
    Information in propositional proofs and algorithmic proof search.Jan Krajíček - 2022 - Journal of Symbolic Logic 87 (2):852-869.
    We study from the proof complexity perspective the proof search problem : •Is there an optimal way to search for propositional proofs?We note that, as a consequence of Levin’s universal search, for any fixed proof system there exists a time-optimal proof search algorithm. Using classical proof complexity results about reflection principles we prove that a time-optimal proof search algorithm exists without restricting proof systems iff a p-optimal proof system exists.To characterize precisely the time proof search algorithms need for individual (...)
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  39. Minimum propositional proof length is NP-Hard to linearly approximate.Michael Alekhnovich, Sam Buss, Shlomo Moran & Toniann Pitassi - 2001 - Journal of Symbolic Logic 66 (1):171-191.
    We prove that the problem of determining the minimum propositional proof length is NP- hard to approximate within a factor of 2 log 1 - o(1) n . These results are very robust in that they hold for almost all natural proof systems, including: Frege systems, extended Frege systems, resolution, Horn resolution, the polynomial calculus, the sequent calculus, the cut-free sequent calculus, as well as the polynomial calculus. Our hardness of approximation results usually apply to proof length measured (...)
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  40.  25
    On the proof complexity of the nisan–wigderson generator based on a hard np ∩ conp function.Jan Krajíček - 2011 - Journal of Mathematical Logic 11 (1):11-27.
    Let g be a map defined as the Nisan–Wigderson generator but based on an NP ∩ coNP -function f. Any string b outside the range of g determines a propositional tautology τb expressing this fact. Razborov [27] has conjectured that if f is hard on average for P/poly then these tautologies have no polynomial size proofs in the Extended Frege system EF. We consider a more general Statement that the tautologies have no polynomial size proofs in (...)
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  41.  11
    Universal first-order logic is superfluous in the second level of the polynomial-time hierarchy.Nerio Borges & Edwin Pin - 2019 - Logic Journal of the IGPL 27 (6):895-909.
    In this paper we prove that $\forall \textrm{FO}$, the universal fragment of first-order logic, is superfluous in $\varSigma _2^p$ and $\varPi _2^p$. As an example, we show that this yields a syntactic proof of the $\varSigma _2^p$-completeness of value-cost satisfiability. The superfluity method is interesting since it gives a way to prove completeness of problems involving numerical data such as lengths, weights and costs and it also adds to the programme started by Immerman and Medina about the syntactic approach in (...)
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  42. Radical anti-realism, Wittgenstein and the length of proofs.Mathieu Marion - 2009 - Synthese 171 (3):419 - 432.
    After sketching an argument for radical anti-realism that does not appeal to human limitations but polynomial-time computability in its definition of feasibility, I revisit an argument by Wittgenstein on the surveyability of proofs, and then examine the consequences of its application to the notion of canonical proof in contemporary proof-theoretical-semantics.
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  43.  24
    On the definability of join by means of polynomials in implicative algebras.Antoni Torrens - 1985 - Bulletin of the Section of Logic 14 (4):158-162.
    In this paper we see that the answer of this question is affirmative. We prove this for Dco-algebras and as special case we obtain the result for Positive Implication algebras. First we give, without proof, the properties of Dco-algebras and S-algebras and their connection with Positive Implication algebras and Implication algebras. These results can be found in [T] and [IT].
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  44.  9
    Taking the "oof!" out of proofs.Alexandr Draganov - 2024 - Boca Raton: CRC Press.
    This book introduces readers to the art of doing mathematical proofs. Proofs are the glue that holds mathematics together. They make connections between math concepts and show why things work the way they do. This book teaches the art of proofs using familiar high school concepts, such as numbers, polynomials, functions, and trigonometry. It retells math as a story, where the next chapter follows from the previous one. Readers will see how various mathematical concepts are tied, will (...)
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  45.  45
    Strong extension axioms and Shelah’s zero-one law for choiceless polynomial time.Andreas Blass & Yuri Gurevich - 2003 - Journal of Symbolic Logic 68 (1):65-131.
    This paper developed from Shelah’s proof of a zero-one law for the complexity class “choiceless polynomial time,” defined by Shelah and the authors. We present a detailed proof of Shelah's result for graphs, and describe the extent of its generalizability to other sorts of structures. The extension axioms, which form the basis for earlier zero-one laws are inadequate in the case of choiceless polynomial time; they must be replaced by what we call the strong extension axioms. We present (...)
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  46.  10
    Derivability in certain subsystems of the Logic of Proofs is-complete.Robert Milnikel - 2007 - Annals of Pure and Applied Logic 145 (3):223-239.
    The Logic of Proofs realizes the modalities from traditional modal logics with proof polynomials, so an expression □F becomes t:F where t is a proof polynomial representing a proof of or evidence for F. The pioneering work on explicating the modal logic is due to S. Artemov and was extended to several subsystems by V. Brezhnev. In 2000, R. Kuznets presented a algorithm for deducibility in these logics; in the present paper we will show that the deducibility problem (...)
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  47.  17
    Relative efficiency of propositional proof systems: resolution vs. cut-free LK.Noriko H. Arai - 2000 - Annals of Pure and Applied Logic 104 (1-3):3-16.
    Resolution and cut-free LK are the most popular propositional systems used for logical automated reasoning. The question whether or not resolution and cut-free LK have the same efficiency on the system of CNF formulas has been asked and studied since 1960 425–467). It was shown in Cook and Reckhow, J. Symbolic Logic 44 36–50 that tree resolution has super-polynomial speed-up over cut-free LK. Naturally, the current issue is whether or not resolution and cut-free LK expressed as directed acyclic graphs (...)
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  48.  7
    Ramsey’s theorem for pairs, collection, and proof size.Leszek Aleksander Kołodziejczyk, Tin Lok Wong & Keita Yokoyama - 2023 - Journal of Mathematical Logic 24 (2).
    We prove that any proof of a [Formula: see text] sentence in the theory [Formula: see text] can be translated into a proof in [Formula: see text] at the cost of a polynomial increase in size. In fact, the proof in [Formula: see text] can be obtained by a polynomial-time algorithm. On the other hand, [Formula: see text] has nonelementary speedup over the weaker base theory [Formula: see text] for proofs of [Formula: see text] sentences. We also (...)
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  49.  32
    On the computational content of intuitionistic propositional proofs.Samuel R. Buss & Pavel Pudlák - 2001 - Annals of Pure and Applied Logic 109 (1-2):49-64.
    The paper proves refined feasibility properties for the disjunction property of intuitionistic propositional logic. We prove that it is possible to eliminate all cuts from an intuitionistic proof, propositional or first-order, without increasing the Horn closure of the proof. We obtain a polynomial time, interactive, realizability algorithm for propositional intuitionistic proofs. The feasibility of the disjunction property is proved for sequents containing Harrop formulas. Under hardness assumptions for NP and for factoring, it is shown that the intuitionistic propositional (...)
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  50.  47
    Lower Bounds for cutting planes proofs with small coefficients.Maria Bonet, Toniann Pitassi & Ran Raz - 1997 - Journal of Symbolic Logic 62 (3):708-728.
    We consider small-weight Cutting Planes (CP * ) proofs; that is, Cutting Planes (CP) proofs with coefficients up to $\operatorname{Poly}(n)$ . We use the well known lower bounds for monotone complexity to prove an exponential lower bound for the length of CP * proofs, for a family of tautologies based on the clique function. Because Resolution is a special case of small-weight CP, our method also gives a new and simpler exponential lower bound for Resolution. We also (...)
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