Formal Proofs and Refutations
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Chapter 1 Elementary Logic
Principles of Mathematics (Math 2450) A®Ë@ Õæ Aë áÖ ß @.X.@ 2017-2018 ÈðB@ É®Ë@ Chapter 1 Elementary Logic The study of logic is the study of the principles and methods used in distinguishing valid argu- ments from those that are not valid. The aim of this chapter is to help the student to understand the principles and methods used in each step of a proof. The starting point in logic is the term statement (or proposition) which is used in a technical sense. We introduce a minimal amount of mathematical logic which lies behind the concept of proof. In mathematics and computer science, as well as in many places in everyday life, we face the problem of determining whether something is true or not. Often the decision is easy. If we were to say that 2 + 3 = 4, most people would immediately say that the statement was false. If we were to say 2 + 2 = 4, then undoubtedly the response would be \of course" or \everybody knows that". However, many statements are not so clear. A statement such as \the sum of the first n odd integers is equal to n2" in addition to meeting with a good deal of consternation, might be greeted with a response of \Is that really true?" or \why?" This natural response lies behind one of the most important concepts of mathematics, that of proof. 1.1 Statements and their connectives When we prove theorems in mathematics, we are demonstrating the truth of certain statements. We therefore need to start our discussion of logic with a look at statements, and at how we recognize certain statements as true or false. -
Snake Lemma - Wikipedia, the Free Encyclopedia
Snake lemma - Wikipedia, the free encyclopedia http://en.wikipedia.org/wiki/Snake_lemma Snake lemma From Wikipedia, the free encyclopedia The snake lemma is a tool used in mathematics, particularly homological algebra, to construct long exact sequences. The snake lemma is valid in every abelian category and is a crucial tool in homological algebra and its applications, for instance in algebraic topology. Homomorphisms constructed with its help are generally called connecting homomorphisms. Contents 1 Statement 2 Explanation of the name 3 Construction of the maps 4 Naturality 5 In popular culture 6 See also 7 References 8 External links Statement In an abelian category (such as the category of abelian groups or the category of vector spaces over a given field), consider a commutative diagram: where the rows are exact sequences and 0 is the zero object. Then there is an exact sequence relating the kernels and cokernels of a, b, and c: Furthermore, if the morphism f is a monomorphism, then so is the morphism ker a → ker b, and if g' is an epimorphism, then so is coker b → coker c. Explanation of the name To see where the snake lemma gets its name, expand the diagram above as follows: 1 of 4 28/11/2012 01:58 Snake lemma - Wikipedia, the free encyclopedia http://en.wikipedia.org/wiki/Snake_lemma and then note that the exact sequence that is the conclusion of the lemma can be drawn on this expanded diagram in the reversed "S" shape of a slithering snake. Construction of the maps The maps between the kernels and the maps between the cokernels are induced in a natural manner by the given (horizontal) maps because of the diagram's commutativity. -
Central Schemes for the Modified Buckley-Leverett Equation
CENTRAL SCHEMES FOR THE MODIFIED BUCKLEY-LEVERETT EQUATION DISSERTATION Presented in Partial Fulfillment of the Requirements for the Degree Doctor of Philosophy in the Graduate School of the Ohio State University By Ying Wang, B.Sc., M.Sc., M.A.S. Graduate Program in Mathematics The Ohio State University 2010 Dissertation Committee: Professor Chiu-Yen Kao, Advisor Professor Avner Friedman Professor Fei-Ran Tian c Copyright by Ying Wang July, 2010 ABSTRACT In fluid dynamics, the Buckley-Leverett (BL) equation is a transport equation used to model two-phase flow in porous media. One application is secondary recovery by water-drive in oil reservoir simulation. The modified Buckley-Leverett (MBL) equation differs from the classical BL equation by including a balanced diffusive- dispersive combination. The dispersive term is a third order mixed derivatives term, which models the dynamic effects in the pressure difference between the two phases. The classical BL equation gives a monotone water saturation profile for any Rie- mann problem; on the contrast, when the dispersive parameter is large enough, the MBL equation delivers non-monotone water saturation profile for certain Riemann problems as suggested by the experimental observations. In this thesis, we first show that the solution of the finite interval [0,L] boundary value problem converges to that of the half-line [0, +∞) problem for the MBL equation as L → +∞. This result provides a justification for the use of the finite interval boundary value problem in numerical studies for the half line problem. Furthermore, we extend the classical central schemes for the hyperbolic conserva- tion laws to solve the MBL equation which is of pseudo-parabolic type. -
A Proof-Theoretic Approach to Hierarchical Math Library Organization
A Proof-Theoretic Approach to Hierarchical Math Library Organization Kamal Aboul-Hosn and Terese Damhøj Andersen Department of Computer Science, Cornell University, Ithaca, New York, USA [email protected] [email protected] Abstract. The relationship between theorems and lemmas in mathe- matical reasoning is often vague. No system exists that formalizes the structure of theorems in a mathematical library. Nevertheless, the deci- sions we make in creating lemmas provide an inherent hierarchical struc- ture to the statements we prove. In this paper, we develop a formal system that organizes theorems based on scope. Lemmas are simply the- orems with a local scope. We develop a representation of proofs that captures scope and present a set of proof rules to create and reorganize the scopes of theorems and lemmas. The representation and rules al- low systems for formalized mathematics to more accurately reflect the natural structure of mathematical knowledge. 1 Introduction The relationship between theorems and lemmas in mathematical reasoning is often vague. What makes a statement a lemma, but not a theorem? One might say that a theorem is “more important,” but what does it mean for one statement to be “more important” than another? When writing a proof for a theorem, we often create lemmas as a way to break down the complex proof, so perhaps we expect the proofs of lemmas to be shorter than the proofs of theorems. We also create lemmas when we have a statement that we do not expect to last in readers’ minds, i.e., it is not the primary result of our work. -
Formal Proof : Understanding, Writing and Evaluating Proofs, February 2010
Formal Proof Understanding, writing and evaluating proofs David Meg´ıas Jimenez´ (coordinador) Robert Clariso´ Viladrosa Amb la col·laboracio´ de M. Antonia` Huertas Sanchez´ PID 00154272 The texts and images contained in this publication are subject –except where indicated to the contrary– to an Attribution-NonCommercial-NoDerivs license (BY-NC-ND) v.3.0 Spain by Creative Commons. You may copy, publically distribute and transfer them as long as the author and source are credited (FUOC. Fundacion´ para la Universitat Oberta de Catalunya (Open University of Catalonia Foundation)), neither the work itself nor derived works may be used for commercial gain. The full terms of the license can be viewed at http://creativecommons.org/licenses/by-nc-nd/3.0/legalcode © CC-BY-NC-ND • PID 00154272 Formal Proof Table of contents Introduction ................................................... ....... 5 Goals ................................................... ................ 6 1. Defining formal proofs .......................................... 7 2. Anatomy of a formal proof ..................................... 10 3. Tool-supported proofs ........................................... 13 4. Planning formal proofs ......................................... 17 4.1. Identifying the problem . ..... 18 4.2. Reviewing the literature . ....... 18 4.3. Identifying the premises . ..... 19 4.4. Understanding the problem . ... 20 4.5. Formalising the problem . ..... 20 4.6. Selecting a proof strategy . ........ 21 4.7. Developingtheproof ................................ -
On the Topology of Discrete Strategies∗
The final version of this paper was published in The International Journal of Robotics Research, 29(7), June 2010, pp. 855–896, by SAGE Publications Ltd, http://online.sagepub.com. c Michael Erdmann On the Topology of Discrete Strategies∗ Michael Erdmann School of Computer Science Carnegie Mellon University [email protected] December 2009 Abstract This paper explores a topological perspective of planning in the presence of uncertainty, focusing on tasks specified by goal states in discrete spaces. The paper introduces strategy complexes. A strategy complex is the collection of all plans for attaining all goals in a given space. Plans are like jigsaw pieces. Understanding how the pieces fit together in a strategy complex reveals structure. That structure characterizes the inherent capabilities of an uncertain system. By adjusting the jigsaw pieces in a design loop, one can build systems with desired competencies. The paper draws on representations from combinatorial topology, Markov chains, and polyhedral cones. Triangulating between these three perspectives produces a topological language for describing concisely the capabilities of uncertain systems, analogous to concepts of reachability and controllability in other disciplines. The major nouns in this language are topological spaces. Three key theorems (numbered 1, 11, 20 in the paper) illustrate the sentences in this language: (a) Goal Attainability: There exists a strategy for attaining a particular goal from anywhere in a system if and only if the strategy complex of a slightly modified system is homotopic to a sphere. (b) Full Controllability: A system can move between any two states despite control uncertainty precisely when its strategy complex is homotopic to a sphere of dimension two less than the number of states. -
Lemmas in Olympiad Geometry
Lemmas In Olympiad Geometry Navneel Singhal July 14, 2016 Geometry is the art of correct reasoning from incorrectly drawn figures. - Henri Poincar´e 1 Introduction Here is a collection of some useful lemmas in geometry, some of them well known, some obscure and some by the author himself. This list of lemmas is also intended to be a list of some easier problems and also as some configurations that frequently appear on contests. Usually these lemmas will be intermediate results that will help you reach the solution in many cases, and maybe even trivialize the problem. These will help you write some really elegant solutions (and will also help you to simplify your bashes in cases of some problems that don't yield easily to synthetic solutions.) So have fun proving these lemmas and using them to the fullest advantage in your Olympiad journey! 2 Some Notations • By (XYZ) we denote the circumcircle of ∆XYZ, by (XY ) the circle with XY as diameter, and by (M; r) the circle with centre M and radius r, the radius being dropped when the context is clear. • We denote H as the orthocentre, O as the circumcentre, G as the centroid, N as the nine-point centre, I as the incentre, Na as the Nagel point and Ge as the Gergonne point of ∆ABC 3 Orthocenter related properties • O and H are isogonal conjugates. • Reflections of the orthocenter over the sides and the midpoints of the sides lie on (ABC). 1 • The O is the orthocenter of the medial triangle. a consequence is that AH=2OM. -
Coquelicot: a User-Friendly Library of Real Analysis for Coq
Coquelicot: A User-Friendly Library of Real Analysis for Coq Sylvie Boldo, Catherine Lelay and Guillaume Melquiond Abstract. Real analysis is pervasive to many applications, if only because it is a suitable tool for modeling physical or socio-economical systems. As such, its support is warranted in proof assis- tants, so that the users have a way to formally verify mathematical theorems and correctness of critical systems. The Coq system comes with an axiomatization of standard real numbers and a li- brary of theorems on real analysis. Unfortunately, this standard library is lacking some widely used results. For instance, power series are not developed further than their definition. Moreover, the definitions of integrals and derivatives are based on dependent types, which make them especially cumbersome to use in practice. To palliate these inadequacies, we have designed a user-friendly library: Coquelicot. An easier way of writing formulas and theorem statements is achieved by re- lying on total functions in place of dependent types for limits, derivatives, integrals, power series, and so on. To help with the proof process, the library comes with a comprehensive set of theorems that cover not only these notions, but also some extensions such as parametric integrals, two- dimensional differentiability, asymptotic behaviors. It also offers some automation for performing differentiability proofs. Moreover, Coquelicot is a conservative extension of Coq’s standard library and we provide correspondence theorems between the two libraries. We have exercised the library on several use cases: in an exam at university entry level, for the definitions and properties of Bessel functions, and for the solution of the one-dimensional wave equation. -
Detailed Proofs of Lemmas, Theorems, and Corollaries
Detailed Proofs of Lemmas, Theorems, and Corollaries Dahua Lin John Fisher CSAIL, MIT CSAIL, MIT A List of Lemmas, Theorems, and Theorem 4. The hierarchically bridging Markov Corollaries chain with bk < 1 for k = 0;:::;K − 1, and fk < 1 for k = 1;:::;K is ergodic. If we write the equilibrium For being self-contained, we list here all the lemmas, distribution in form of (αµ0; β1µ1; : : : ; βK µK ), then theorems, and corollaries in the main paper. (S1) µ0 equals the target distribution µ; (S2) for each k ≥ 1, and y 2 Y , µ (y) is proportional to the total Lemma 1. The joint transition matrix P given by k k + probability of its descendant target states (the target Eq.(1) in the main paper has a stationary distribution states derived by filling all its placeholders); (S3) α, in form of (αµ ; βµ ), if and only if X Y the probability of being at the target level, is given by α−1 = 1 + PK (b ··· b )=(f ··· f ). µX QB = µY ; and µY QF = µX : (1) k=1 0 k−1 1 k Corollary 2. If bk=fk+1 ≤ κ < 1 for each k = Under this condition, we have αb = βf. Further, if 1;:::;K, then α > 1 − κ. both PX and PY are both reversible, then P+ is also reversible, if and only if B Proofs µX (x)QB(x; y) = µY (y)QF (y; x); (2) Here, we provide the proofs of the lemmas and theo- for all x 2 X and y 2 Y . rems presented in the paper. -
Coquelicot: a User-Friendly Library of Real Analysis for Coq Sylvie Boldo, Catherine Lelay, Guillaume Melquiond
Coquelicot: A User-Friendly Library of Real Analysis for Coq Sylvie Boldo, Catherine Lelay, Guillaume Melquiond To cite this version: Sylvie Boldo, Catherine Lelay, Guillaume Melquiond. Coquelicot: A User-Friendly Library of Real Analysis for Coq. Mathematics in Computer Science, Springer, 2015, 9 (1), pp.41-62. 10.1007/s11786- 014-0181-1. hal-00860648v2 HAL Id: hal-00860648 https://hal.inria.fr/hal-00860648v2 Submitted on 18 Feb 2014 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Coquelicot: A User-Friendly Library of Real Analysis for Coq Sylvie Boldo, Catherine Lelay and Guillaume Melquiond Abstract. Real analysis is pervasive to many applications, if only because it is a suitable tool for modeling physical or socio-economical systems. As such, its support is warranted in proof assis- tants, so that the users have a way to formally verify mathematical theorems and correctness of critical systems. The Coq system comes with an axiomatization of standard real numbers and a li- brary of theorems on real analysis. Unfortunately, this standard library is lacking some widely used results. For instance, power series are not developed further than their definition. -
Denying the Antecedent - Wikipedia, the Free Encyclopedia
Denying the antecedent - Wikipedia, the free encyclopedia Help us provide free content to the world by • LearnLog more in /about create using Wikipediaaccount for research donating today ! • Article Discussion EditDenying this page History the antecedent From Wikipedia, the free encyclopedia Denying the antecedent is a formal fallacy, committed by reasoning in the form: If P , then Q . Navigation Not P . ● Main Page Therefore, not Q . ● Contents Arguments of this form are invalid (except in the rare cases where such an argument also ● Featured content instantiates some other, valid, form). Informally, this means that arguments of this form do ● Current events ● Random article not give good reason to establish their conclusions, even if their premises are true. Interaction The name denying the ● About Wikipedia antecedent derives from the premise "not P ", which denies the 9, 2008 ● Community portal "if" clause of the conditional premise.Lehman, v. on June ● Recent changes Carver One way into demonstrate archivedthe invalidity of this argument form is with a counterexample with ● Contact Wikipedia Cited true premises06-35176 but an obviously false conclusion. For example: ● Donate to No. If Queen Elizabeth is an American citizen, then she is a human being. Wikipedia ● Help Queen Elizabeth is not an American citizen. Therefore, Queen Elizabeth is not a human being. Search That argument is obviously bad, but arguments of the same form can sometimes seem superficially convincing, as in the following example imagined by Alan Turing in the article "Computing Machinery and Intelligence": “ If each man had a definite set of rules of conduct by which he regulated his life he would be no better than a machine. -
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DOCUMENT RESUME ED 297 950 SE 049 425 AUTHOR Kaput, James J. TITLE Information Technology and Mathematics: Opening New Representational Windows. INSTITUTION Educational Technology Center, Cambridge, MA. SPONS AGENCY Office of Educational Research and Improvement (ED), Washington, DC. REPORT NO ETC-86-3 PUB DATE Apr 86 NOTE 28p. PUB TYPE Reports - Descriptive (141) -- Reports - Research/Technical (143) -- Collected Works - General (020) EDRS PRICE MFOI/PCO2 Plus Postage. DESCRIPTORS *Cognitive Development; *Cognitive Processes; Cognitive Structures; *Computer Uses in Education; Educational Policy; *Elementary School Mathematics; Elementary Secondary Education; Geometry; *Information Technology; Learning Processes; Mathematics Education; Microcomputers; Problem Solving; Research; *Secondary School Mathematics ABSTRACT Higher order thinking skills are inevitably developed or exercised relative to some discipline. The discipline may be formal or informal, may or may not be represented in a school curriculum, or relate to a wide variety of domains. Moreover, the development or exercise of thinking skills may take place at differing levels of generality. This paper is concerned with how new uses of information technology can profoundly influence the acquisition and application of higher order thinking skills in or near the domain of mathematics. It concentrates on aspects of mathematics that relate to its representational function based on the beliefs that (1) mathematics itself, as a tool of thought and communication, is essentially representational