About this topic
Summary Mathematical proof concerns itself with a demonstration that some theorem, lemma, corollary or claim is true. Proofs rely upon previously proven statements, logical inferences, and a specified syntax, which can usually trace back to underlying axioms and definitions. Many of the issues in this area concern the use of purely formal proof, informal proof, language, empirical methodologies, and everyday practice. 
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Introductions Horsten 2008
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  1. Reply to Blue, “Can Philosophy do Anything for Set Theory?”.Justin Clarke-Doane - manuscript
    Blue (2026) criticizes Ash and Clarke-Doane (2025). Our thesis is that the justification of mathematical axioms relies on reflective equilibrium applied to data about which there is reasonable disagreement, as in philosophy. Blue responds with a survey of the case for Definable Determinacy and a speculative scenario involving Baire category principles, arguing that the analogy breaks down. But Blue’s response rests on a conflation that we took pains to flag -- between agreement over what follows from what and agreement over (...)
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  2. Invariance of BKM and Prodi–Serrin Integrals under Bounded Temporal Lifting.Jeffrey Camlin - 2026 - Scholarly Journal of Post-Biological Epistemics 2 (1):1-7.
    The incompressible Navier–Stokes equations on T³ exhibit a structural asymmetry: the spatial domain inherits the compact geometry of R³/Z³, while the temporal axis remains unbounded and analytically unconstrained. Classical approaches treat time as a neutral parameter, a clock labeling solution states without participating in the analytic structure. On periodic domains, this separation forfeits geometric constraints that the lattice structure naturally provides. We construct a coupled system (U, φ) via a bounded vorticity-response functional and prove that the Beale–Kato–Majda and Prodi–Serrin regularity (...)
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  3. Visual thinking and simplicity of proof.Alan J. Cain - 2019 - Philosophical Transactions of the Royal Society, Series A 377 (2140):20180032.
    This paper studies how spatial thinking interacts with simplicity in [informal] proof, by analysing a set of example proofs mainly concerned with Ferrers diagrams (visual representations of partitions of integers) and comparing them to proofs that do not use spatial thinking. The analysis shows that using diagrams and spatial thinking can contribute to simplicity by (for example) avoiding technical calculations, division into cases, and induction, and creating a more surveyable and explanatory proof (both of which are connected to simplicity). In (...)
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  4. (1 other version)Explications in Mathematics.Jonas Raab & Deniz Sarikaya - forthcoming - The Philosophical Quarterly.
    Carnap introduced his notion of explication to arrive at concepts that are precise enough for scientific purposes. As Carnap wants to precisify concepts, his notion of explication targets less precise concepts so that explications within mature mathematics are not possible. We argue that explications of mature mathematical concepts are both possible and widespread. We focus on foundational work, especially as done in the context of interactive theorem proving. Taking foundational work seriously necessitates explicit decisions which are generally ignored in mathematical (...)
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  5. Apresentação de Estilo matemático, de Paolo Mancosu.G. D. Secco - 2022 - Analytica. Revista de Filosofia 26 (2):82-87. Translated by Gisele D. Secco.
    Presentation of the translation of Paolo Mancosu's entry for the Stanford Encyclopedia of Philosophy, "Mathematical Style," The Stanford Encyclopedia of Philosophy (Winter 2021 Edition), Edward N. Zalta (ed.).
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  6. Proof of the Birch and Swinnerton-Dyer Conjecture via Spectral Methods.Daniel Toupin - manuscript
    We prove the Birch and Swinnerton-Dyer conjecture for elliptic curves over the rational numbers. Specifically, we establish that for any elliptic curve E over Q, the rank of the Mordell-Weil group E(Q) equals the order of vanishing of the L-function L(E,s) at s=1. The proof proceeds in three main steps. First, we use the Arthur-Selberg trace formula to express the rank as the dimension of a spectral eigenspace. Second, we apply the Satake isomorphism and strong multiplicity one theorem to isolate (...)
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  7. (1 other version)Quantum Gravity and Three Millennium Prize Solutions from Haar Measure Invariance via Celestial Holographic Conformal Field Theory.Daniel Toupin - manuscript
    In this work I present what may be the first complete construction of quantum gravity describing the real universe via the celestial holographic conformal field theory dual to Einstein gravity in asymptotically-flat 4D spacetime. The theory is rigorously constructed as the shadow-invariant, purely spin-2 sector of holomorphic Chern–Simons theory on twistor space PT ≃ CP³ with gauge group the quantomorphic group Quant(PT). Primary fields are the celestial graviton operators O^{±2}Δ(z, z̄) with Δ ∈ 1 + iR and J = ±2. (...)
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  8. Holding the Line: How Haar Measure, Functional Symmetry, and Compactness Force the Riemann Hypothesis.Daniel Toupin - manuscript
    We prove that all non-trivial zeros of the Riemann zeta function ζ(s) lie on the critical line Re(s) = 1/2. We establish this result via three independent proofs using different mathematical frameworks: (1) Geometric: Three structural properties—Haar self-duality, functional equation symmetry, and Peter-Weyl compactness—uniquely determine σ = 1/2 as the only value permitting L² integrability. (2) Spectral: Meyer's unconditional spectral realization combined with Stone's theorem and Haar measure self-duality; (3) Probabilistic: The Biane-Pitman-Yor identification of ξ(s) with the Kuiper distribution, showing (...)
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  9. The Proof of the Riemann Hypothesis.Jenny Lorraine Nielsen & Lu Semita - manuscript
    We show that the Riemann Hypothesis (RH) is independent of ZFC, Pi1 sound and true in the standard model of arithmetic and prove RH in ZFC + minimal axiomatic extensions. -/- Independence of ZFC is established using the Lambda Irreducibility Principle, a foundational framework introduced and developed in this work. The Lambda principle detects intrinsic semantic obstruction arising from round-trip translation between inequivalent representational paradigms. We formalize two paradigms intrinsic to number theory: a linear arithmetic paradigm, governing first-order arithmetical definability (...)
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  10. Concepts of Proof in Mathematics, Philosophy, and Computer Science.Dieter Probst & Peter Schuster - 2016 - Berlin, Boston: De Gruyter.
    A proof is a successful demonstration that a conclusion necessarily follows by logical reasoning from axioms which are considered evident for the given context and agreed upon by the community. It is this concept that sets mathematics apart from other disciplines and distinguishes it as the prototype of a deductive science. Proofs thus are utterly relevant for research, teaching and communication in mathematics and of particular interest for the philosophy of mathematics. In computer science, moreover, proofs have proved to be (...)
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  11. (1 other version)Visual Thinking in Mathematics.Marcus Giaquinto - 2011 - Oxford, GB: Oxford University Press.
    Marcus Giaquinto presents an investigation into the different kinds of visual thinking involved in mathematical thought, drawing on work in cognitive psychology, philosophy, and mathematics. He argues that mental images and physical diagrams are rarely just superfluous aids: they are often a means of discovery, understanding, and even proof.
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  12. (2 other versions)Proof and Knowledge in Mathematics.Michael Detlefsen (ed.) - 2005 - Routledge.
    These questions arise from any attempt to discover an epistemology for mathematics. This collection of essays considers various questions concerning the nature of justification in mathematics and possible sources of that justification. Among these are the question of whether mathematical justification is _a priori_ or _a posteriori_ in character, whether logical and mathematical differ, and if formalization plays a significant role in mathematical justification.
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  13. Using Large Language Models to Study Mathematical Practice.William D'Alessandro - forthcoming - In Deborah Kant, José Antonio Pérez-Escobar, Sarikaya Deniz & Mira Sarikaya, Mathematicians at Work: Empirically Informed Philosophy of Mathematics. Springer (Synthese Library).
    The philosophy of mathematical practice (PMP) looks to evidence from working mathematics to help settle philosophical questions. One prominent program under the PMP banner is the study of explanation in mathematics, which aims to understand what sorts of proofs mathematicians consider explanatory and what role the pursuit of explanation plays in mathematical practice. PMP researchers have recently turned to corpus analysis methods as a promising alternative to small-scale case studies. Such methods stand to benefit, it would seem, from the sophisticated (...)
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  14. Sweeping Nets, Saddle Maps and Complex Analysis.Parker Emmerson - 2025
    These involved theorems on sweeping nets, saddle maps and complex analysis are a thorough examination of the method an its fundamental mechanics. The basic foundation of this analytical method is useful to any artificer of mechanical programs or development of software applications that involve computer vision or graphics. These methods will have application to further theories and methods in string theory and cosmology or even approximation of environmental factors for machine learning.
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  15. Mathematical justification is still infallible.YuTang Wu - 2025 - Synthese 205 (5):1-16.
    In contemporary epistemology, fallibilism has become the universally presupposed stance. This trend is not confined to empirical knowledge; in recent years, it has also been extended to mathematical knowledge. In this paper, I argue against the fallibilist view on mathematical justification, and advocate infallibilism. Specifically, I examine the fallibilist account offered by De Toffoli (2021), which is the most developed version in the literature. This account proposes a distinctive characterisation of mathematical justification, which is fallibilistic. To counter this, I will (...)
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  16. Elements of Purity.Andrew Arana - 2024 - Cambridge: Cambridge University Press.
    A proof of a theorem can be said to be pure if it draws only on what is 'close' or 'intrinsic' to that theorem. In this Element we will investigate the apparent preference for pure proofs that has persisted in mathematics since antiquity, alongside a competing preference for impurity. In Section 1, we present two examples of purity, from geometry and number theory. In Section 2, we give a brief history of purity in mathematics. In Section 3, we discuss several (...)
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  17. Précis of Morality and Mathematics.Justin Clarke-Doane - forthcoming - Analysis.
  18. The Book of Phenomenological Velocity: Algebraic Techniques for Gestalt Cosmology, Transcendental Relativity and Quantum Mechanics.Parker Emmerson - 2024 - Journal of Liberated Mathematics 1:380.
    If you have enjoyed any of the 7 (seven) other books I have published over 20 years, including literally thousands of pages of mathematical and topological concepts, Python programs and conceptually expanding papers, please consider buying this book for $20.00 on google play books. -/- Introduction: -/- Though the following pages provide extensive exposition and dedicated descriptions of the phenomenological velocity formulas, theory and mystery, I thought it appropriate to write this introduction as a partial explanation for what phenomenal velocity (...)
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  19. Sweeping Nets, Saddle Maps & Complex Analysis.Yeshuason Yeshuason - 2024 - Journal of Liberated Mathematics 1:320.
    These involved theorems on sweeping nets, saddle maps and complex analysis are a thorough examination of the method an its fundamental mechanics. The basic foundation of this analytical method is useful to any artificer of mechanical programs or development of software applications that involve computer vision or graphics. These methods will have application to further theories and methods in string theory and cosmology or even approximation of environmental factors for machine learning. -/- .
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  20. (1 other version)Proof theory.Gaisi Takeuti - 1987 - Mineola, New York: Dover Publications.
    This comprehensive monograph is a cornerstone in the area of mathematical logic and related fields. Focusing on Gentzen-type proof theory, the book presents a detailed overview of creative works by the author and other 20th-century logicians that includes applications of proof theory to logic as well as other areas of mathematics. 1975 edition.
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  21. Mathematical Fit: A Case Study†.Manya Raman-Sundström & Lars-Daniel Öhman - 2016 - Philosophia Mathematica 26 (2):184-210.
    Mathematicians routinely pass judgements on mathematical proofs. A proof might be elegant, cumbersome, beautiful, or awkward. Perhaps the highest praise is that a proof is right, that is, that the proof fits the theorem in an optimal way. It is also common to judge that one proof fits better than another, or that a proof does not fit a theorem at all. This paper attempts to clarify the notion of mathematical fit. We suggest six criteria that distinguish proofs as being (...)
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  22. Mathematical Justification without Proof.Silvia De Toffoli - forthcoming - In Giovanni Merlo, Giacomo Melis & Crispin Wright, Self-knowledge and Knowledge A Priori. Oxford University Press.
    According to a widely held view in the philosophy of mathematics, direct inferential justification for mathematical propositions (that are not axioms) requires proof. I challenge this view while accepting that mathematical justification requires arguments that are put forward as proofs. I argue that certain fallacious putative proofs considered by the relevant subjects to be correct can confer mathematical justification. But mathematical justification doesn’t come for cheap: not just any argument will do. I suggest that to successfully transmit justification an argument (...)
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  23. Proofs for a price: Tomorrow’s ultra-rigorous mathematical culture.Silvia De Toffoli - 2024 - Bulletin (New Series) of the American Mathematical Society 61 (3):395–410.
    Computational tools might tempt us to renounce complete cer- tainty. By forgoing of rigorous proof, we could get (very) probable results for a fraction of the cost. But is it really true that proofs (as we know and love them) can lead us to certainty? Maybe not. Proofs do not wear their correct- ness on their sleeve, and we are not infallible in checking them. This suggests that we need help to check our results. When our fellow mathematicians will be (...)
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  24. Ratio.Michael Dummett & Philip Tartaglia (eds.) - 1963 - Duckworth.
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  25. The Algorithmic-Device View of Informal Rigorous Mathematical Proof.Jody Azzouni - forthcoming - Handbook of the History and Philosophy of Mathematical Practice:2179-2260.
    A new approach to informal rigorous mathematical proof is offered. To this end, algorithmic devices are characterized and their central role in mathematical proof delineated. It is then shown how all the puzzling aspects of mathematical proof, including its peculiar capacity to convince its practitioners, are explained by algorithmic devices. Diagrammatic reasoning is also characterized in terms of algorithmic devices, and the algorithmic device view of mathematical proof is compared to alternative construals of informal proof to show its superiority.
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  26. The Social Epistemology of Mathematical Proof.Line Edslev Andersen - 2024 - In Bharath Sriraman, Handbook of the History and Philosophy of Mathematical Practice. Cham: Springer Verlag. pp. 2069-2079.
    If we want to understand why mathematical knowledge is extraordinarily reliable, we need to consider both the nature of mathematical arguments and mathematical practice as a social practice. Mathematical knowledge is extraordinarily reliable because arguments in mathematics take the form of deductive mathematical proofs. Deductive mathematical proofs are surveyable in the sense that they can be checked step by step by different experts, and a purported proof is only accepted as a proof by the mathematical community once a number of (...)
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  27. Introduction to proofs and proof strategies.Shay Fuchs - 2024 - New York, NY: Cambridge University Press.
    Emphasizing the creative nature of mathematics, this conversational textbook guides students through the process of discovering a proof as they transition to advanced mathematics. Using several strategies, students will develop the thinking skills needed to tackle mathematics when there is no clear algorithm or recipe to follow.
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  28. The nuts and bolts of proofs: an introduction to mathematical proofs.Antonella Cupillari - 2024 - San Diego, CA: Academic Press, an imprint of Elsevier.
    The Nuts and Bolts of Proofs: An Introduction to Mathematical Proofs, Fifth Edition provides basic logic of mathematical proofs and shows how mathematical proofs work. It offers techniques for both reading and writing proofs. The second chapter of the book discusses the techniques in proving if/then statements by contrapositive and proofing by contradiction. It also includes the negation statement, and/or. It examines various theorems, such as the if and only-if, or equivalence theorems, the existence theorems, and the uniqueness theorems. In (...)
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  29. 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 see mathematics is (...)
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  30. The Epistemological Subject(s) of Mathematics.Silvia De Toffoli - 2024 - In Bharath Sriraman, Handbook of the History and Philosophy of Mathematical Practice. Cham: Springer Verlag. pp. 2880-2904.
    Paying attention to the inner workings of mathematicians has led to a proliferation of new themes in the philosophy of mathematics. Several of these have to do with epistemology. Philosophers of mathematical practice, however, have not (yet) systematically engaged with general (analytic) epistemology. To be sure, there are some exceptions, but they are few and far between. In this chapter, I offer an explanation of why this might be the case and show how the situation could be remedied. I contend (...)
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  31. Understanding mathematical proof.John Taylor - 2014 - Boca Raton: Taylor & Francis. Edited by Rowan Garnier.
    The notion of proof is central to mathematics yet it is one of the most difficult aspects of the subject to teach and master. In particular, undergraduate mathematics students often experience difficulties in understanding and constructing proofs. Understanding Mathematical Proof describes the nature of mathematical proof, explores the various techniques that mathematicians adopt to prove their results, and offers advice and strategies for constructing proofs. It will improve students’ ability to understand proofs and construct correct proofs of their own. The (...)
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  32. The story of proof: logic and the history of mathematics.John Stillwell - 2022 - Princeton, New Jersey: Princeton University Press.
    How the concept of proof has enabled the creation of mathematical knowledge. The Story of Proof investigates the evolution of the concept of proof--one of the most significant and defining features of mathematical thought--through critical episodes in its history. From the Pythagorean theorem to modern times, and across all major mathematical disciplines, John Stillwell demonstrates that proof is a mathematically vital concept, inspiring innovation and playing a critical role in generating knowledge. Stillwell begins with Euclid and his influence on the (...)
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  33. The meaning of proofs: mathematics as storytelling.Gabriele Lolli - 2022 - Cambridge, Massachusetts: The MIT Press. Edited by Bonnie McClellan-Broussard & Matilde Marcolli.
    This book introduces readers to the narrative structure of mathematical proofs and why mathematicians communicate that way, drawing examples from classic literature and employing metaphors and imagery.
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  34. An introduction to proof via inquiry-based learning.Dana C. Ernst - 2022 - Providence, Rhode Island: MAA Press, an imprint of the American Mathematical Society.
    An Introduction to Proof via Inquiry-Based Learning is a textbook for the transition to proof course for mathematics majors. Designed to promote active learning through inquiry, the book features a highly structured set of leading questions and explorations. The reader is expected to construct their own understanding by engaging with the material. The content ranges over topics traditionally included in transitions courses: logic, set theory including cardinality, the topology of the real line, a bit of number theory, and more. The (...)
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  35. Introduction to mathematics: number, space, and structure.Scott A. Taylor - 2023 - Providence, Rhode Island: American Mathematical Society.
    This textbook is designed for an Introduction to Proofs course organized around the themes of number and space. Concepts are illustrated using both geometric and number examples, while frequent analogies and applications help build intuition and context in the humanities, arts, and sciences. Sophisticated mathematical ideas are introduced early and then revisited several times in a spiral structure, allowing students to progressively develop rigorous thinking. Throughout, the presentation is enlivened with whimsical illustrations, apt quotations, and glimpses of mathematical history and (...)
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  36. Who's Afraid of Mathematical Diagrams?Silvia De Toffoli - 2023 - Philosophers' Imprint 23 (1).
    Mathematical diagrams are frequently used in contemporary mathematics. They are, however, widely seen as not contributing to the justificatory force of proofs: they are considered to be either mere illustrations or shorthand for non-diagrammatic expressions. Moreover, when they are used inferentially, they are seen as threatening the reliability of proofs. In this paper, I examine certain examples of diagrams that resist this type of dismissive characterization. By presenting two diagrammatic proofs, one from topology and one from algebra, I show that (...)
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  37. On the difficulty of discovering mathematical proofs.Andrew Arana & Will Stafford - 2023 - Synthese 202 (2):1-29.
    An account of mathematical understanding should account for the differences between theorems whose proofs are “easy” to discover, and those whose proofs are difficult to discover. Though Hilbert seems to have created proof theory with the idea that it would address this kind of “discovermental complexity”, much more attention has been paid to the lengths of proofs, a measure of the difficulty of _verifying_ of a _given_ formal object that it is a proof of a given formula in a given (...)
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  38. Mathematical Hygiene.Andrew Arana & Heather Burnett - 2023 - Synthese 202 (110):1-28.
    This paper aims to bring together the study of normative judgments in mathematics as studied by the philosophy of mathematics and verbal hygiene as studied by sociolinguistics. Verbal hygiene (Cameron, 1995) refers to the set of normative ideas that language users have about which linguistic practices should be preferred, and the ways in which they go about encouraging or forcing others to adopt their preference. We introduce the notion of mathematical hygiene, which we define in a parallel way as the (...)
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  39. Beweistheorie.Kurt Schütte - 1960 - Berlin,: Springer.
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  40. Aspetti della dimostrazione per assurdo.Roberto Senes - 1969 - Trieste,: Tip. Villaggio del fanciullo.
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  41. (1 other version)Formalization of Mathematical Proof Practice Through an Argumentation-Based Model.Sofia Almpani, Petros Stefaneas & Ioannis Vandoulakis - 2023 - Axiomathes 33 (3):1-28.
    Proof requires a dialogue between agents to clarify obscure inference steps, fill gaps, or reveal implicit assumptions in a purported proof. Hence, argumentation is an integral component of the discovery process for mathematical proofs. This work presents how argumentation theories can be applied to describe specific informal features in the development of proof-events. The concept of proof-event was coined by Goguen who described mathematical proof as a public social event that takes place in space and time. This new meta-methodological concept (...)
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  42. Purity and Explanation: Essentially Linked?Andrew Arana - 2023 - In Carl Posy & Yemima Ben-Menahem, Mathematical Knowledge, Objects and Applications: Essays in Memory of Mark Steiner. Cham: Springer Verlag. pp. 25-39.
    In his 1978 paper “Mathematical Explanation”, Mark Steiner attempts to modernize the Aristotelian idea that to explain a mathematical statement is to deduce it from the essence of entities figuring in the statement, by replacing talk of essences with talk of “characterizing properties”. The language Steiner uses is reminiscent of language used for proofs deemed “pure”, such as Selberg and Erdős’ elementary proofs of the prime number theorem avoiding the complex analysis of earlier proofs. Hilbert characterized pure proofs as those (...)
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  43. Wahrheit und Beweisbarkeit: e. Unters. über d. Verhältnis von Denken u. Anschauung in d. Mathematik.Johann Glöckl - 1976 - Bonn: Bouvier.
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  44. Syllogistic Logic and Mathematical Proof.Paolo Mancosu & Massimo Mugnai - 2023 - Oxford, GB: Oxford University Press.
    Syllogistic Logic and Mathematical Proof chronicles and analyzes a debate centered on the following question: does syllogistic logic have the resources to capture mathematical proofs? The history of the attempts to answer this question, the rationales for the different positions, their far-reaching implications, and the description of the cast of major and minor mathematicians and philosophers who made contributions to it, has hitherto never been the subject of a unified account. Aristotle had claimed that scientific knowledge, which includes mathematics, is (...)
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  45. (1 other version)Logical and Semantic Puritiy.Andrew Arana - 2008 - In Gerhard Preyer & Georg Peter, Philosophy of Mathematics: Set Theory, Measuring Theories, and Nominalism. Berlin, Boston: De Gruyter. pp. 40-52.
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  46. Lehren des Beweisens im Mathematikunterricht.Walter Witzel - 1981 - Freiburg (Breisgau): Hochschulverlag.
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  47. Mathematical Proving as Multi-Agent Spatio-Temporal Activity.Ioannis M. Vandoulakis & Petros Stefaneas - 2016 - In Boris Chendov, Modelling, Logical and Philosophical Aspects of Foundations of Science. LAP LAMBERT Academic Publishing. pp. 183-200.
    In this paper, we elaborate a framework theory of mathematical proof, which is not based on the traditional concepts of mathematical fact and truth, but on the concept of proof-event or proving, introduced by Goguen. Proof-events are described as the activity of a multi-agent system. Agents enact different roles; the fundamental roles are those of the prover and the interpreter. These agents interact with each other at various levels, forming an ascending hierarchy: communication, understanding, interpretation, and validation. Proof-events are problem-centred (...)
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  48. Objectivity and Rigor in Classical Italian Algebraic Geometry.Silvia De Toffoli & Claudio Fontanari - 2022 - Noesis 38:195-212.
    The classification of algebraic surfaces by the Italian School of algebraic geometry is universally recognized as a breakthrough in 20th-century mathematics. The methods by which it was achieved do not, however, meet the modern standard of rigor and therefore appear dubious from a contemporary viewpoint. In this article, we offer a glimpse into the mathematical practice of the three leading exponents of the Italian School of algebraic geometry: Castelnuovo, Enriques, and Severi. We then bring into focus their distinctive conception of (...)
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  49. Rigor and the Context-Dependence of Diagrams: The Case of Euler Diagrams.David Waszek - 2004 - In A. Blackwell, K. Marriott & A. Shimojima, Diagrammatic Representation and Inference. Springer. pp. 382-389.
    Euler famously used diagrams to illustrate syllogisms in his Lettres à une princesse d’Allemagne [1]. His diagrams are usually seen as suffering from a fatal “ambiguity problem” [11]: as soon as they involve intersecting circles, which are required for the representation of existential statements, it becomes unclear what exactly may be read off from them, and as Hammer & Shin conclusively showed, any set of reading conventions can lead to erroneous conclusions. I claim that Euler diagrams can, however, be used (...)
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  50. Introduction to mathematical proof: a transition to advanced mathematics.Charles E. Roberts - 2015 - Boca Raton: CRC Press, Taylor & Francis Group.
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