Introducing the Double Turnstile
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Tt-Satisfiable
CMPSCI 601: Recall From Last Time Lecture 6 Boolean Syntax: ¡ ¢¤£¦¥¨§¨£ © §¨£ § Boolean variables: A boolean variable represents an atomic statement that may be either true or false. There may be infinitely many of these available. Boolean expressions: £ atomic: , (“top”), (“bottom”) § ! " # $ , , , , , for Boolean expressions Note that any particular expression is a finite string, and thus may use only finitely many variables. £ £ A literal is an atomic expression or its negation: , , , . As you may know, the choice of operators is somewhat arbitary as long as we have a complete set, one that suf- fices to simulate all boolean functions. On HW#1 we ¢ § § ! argued that is already a complete set. 1 CMPSCI 601: Boolean Logic: Semantics Lecture 6 A boolean expression has a meaning, a truth value of true or false, once we know the truth values of all the individual variables. ¢ £ # ¡ A truth assignment is a function ¢ true § false , where is the set of all variables. An as- signment is appropriate to an expression ¤ if it assigns a value to all variables used in ¤ . ¡ The double-turnstile symbol ¥ (read as “models”) de- notes the relationship between a truth assignment and an ¡ ¥ ¤ expression. The statement “ ” (read as “ models ¤ ¤ ”) simply says “ is true under ”. 2 ¡ ¤ ¥ ¤ If is appropriate to , we define when is true by induction on the structure of ¤ : is true and is false for any , £ A variable is true iff says that it is, ¡ ¡ ¡ ¡ " ! ¥ ¤ ¥ ¥ If ¤ , iff both and , ¡ ¡ ¡ ¡ " ¥ ¤ ¥ ¥ If ¤ , iff either or or both, ¡ ¡ ¡ ¡ " # ¥ ¤ ¥ ¥ If ¤ , unless and , ¡ ¡ ¡ ¡ $ ¥ ¤ ¥ ¥ If ¤ , iff and are both true or both false. 3 Definition 6.1 A boolean expression ¤ is satisfiable iff ¡ ¥ ¤ there exists . -
Chapter 9: Initial Theorems About Axiom System
Initial Theorems about Axiom 9 System AS1 1. Theorems in Axiom Systems versus Theorems about Axiom Systems ..................................2 2. Proofs about Axiom Systems ................................................................................................3 3. Initial Examples of Proofs in the Metalanguage about AS1 ..................................................4 4. The Deduction Theorem.......................................................................................................7 5. Using Mathematical Induction to do Proofs about Derivations .............................................8 6. Setting up the Proof of the Deduction Theorem.....................................................................9 7. Informal Proof of the Deduction Theorem..........................................................................10 8. The Lemmas Supporting the Deduction Theorem................................................................11 9. Rules R1 and R2 are Required for any DT-MP-Logic........................................................12 10. The Converse of the Deduction Theorem and Modus Ponens .............................................14 11. Some General Theorems About ......................................................................................15 12. Further Theorems About AS1.............................................................................................16 13. Appendix: Summary of Theorems about AS1.....................................................................18 2 Hardegree, -
Inference Versus Consequence* Göran Sundholm Leyden University
To appear in LOGICA Yearbook, 1998, Czech Acad. Sc., Prague. Inference versus Consequence* Göran Sundholm Leyden University The following passage, hereinafter "the passage", could have been taken from a modern textbook.1 It is prototypical of current logical orthodoxy: The inference (*) A1, …, Ak. Therefore: C is valid if and only if whenever all the premises A1, …, Ak are true, the conclusion C is true also. When (*) is valid, we also say that C is a logical consequence of A1, …, Ak. We write A1, …, Ak |= C. It is my contention that the passage does not properly capture the nature of inference, since it does not distinguish between valid inference and logical consequence. The view that the validity of inference is reducible to logical consequence has been made famous in our century by Tarski, and also by Wittgenstein in the Tractatus and by Quine, who both reduced valid inference to the logical truth of a suitable implication.2 All three were anticipated by Bolzano.3 Bolzano considered Urteile (judgements) of the form A is true where A is a Satz an sich (proposition in the modern sense).4 Such a judgement is correct (richtig) when the proposition A, that serves as the judgemental content, really is true.5 A correct judgement is an Erkenntnis, that is, a piece of knowledge.6 Similarly, for Bolzano, the general form I of inference * I am indebted to my colleague Dr. E. P. Bos who read an early version of the manuscript and offered valuable comments. 1 Could have been so taken and almost was; cf. -
Chapter 13: Formal Proofs and Quantifiers
Chapter 13: Formal Proofs and Quantifiers § 13.1 Universal quantifier rules Universal Elimination (∀ Elim) ∀x S(x) ❺ S(c) Here x stands for any variable, c stands for any individual constant, and S(c) stands for the result of replacing all free occurrences of x in S(x) with c. Example 1. ∀x ∃y (Adjoins(x, y) ∧ SameSize(y, x)) 2. ∃y (Adjoins(b, y) ∧ SameSize(y, b)) ∀ Elim: 1 General Conditional Proof (∀ Intro) ✾c P(c) Where c does not occur outside Q(c) the subproof where it is introduced. ❺ ∀x (P(x) → Q(x)) There is an important bit of new notation here— ✾c , the “boxed constant” at the beginning of the assumption line. This says, in effect, “let’s call it c.” To enter the boxed constant in Fitch, start a new subproof and click on the downward pointing triangle ❼. This will open a menu that lets you choose the constant you wish to use as a name for an arbitrary object. Your subproof will typically end with some sentence containing this constant. In giving the justification for the universal generalization, we cite the entire subproof (as we do in the case of → Intro). Notice that although c may not occur outside the subproof where it is introduced, it may occur again inside a subproof within the original subproof. Universal Introduction (∀ Intro) ✾c Where c does not occur outside the subproof where it is P(c) introduced. ❺ ∀x P(x) Remember, any time you set up a subproof for ∀ Intro, you must choose a “boxed constant” on the assumption line of the subproof, even if there is no sentence on the assumption line. -
Logic and Proof Release 3.18.4
Logic and Proof Release 3.18.4 Jeremy Avigad, Robert Y. Lewis, and Floris van Doorn Sep 10, 2021 CONTENTS 1 Introduction 1 1.1 Mathematical Proof ............................................ 1 1.2 Symbolic Logic .............................................. 2 1.3 Interactive Theorem Proving ....................................... 4 1.4 The Semantic Point of View ....................................... 5 1.5 Goals Summarized ............................................ 6 1.6 About this Textbook ........................................... 6 2 Propositional Logic 7 2.1 A Puzzle ................................................. 7 2.2 A Solution ................................................ 7 2.3 Rules of Inference ............................................ 8 2.4 The Language of Propositional Logic ................................... 15 2.5 Exercises ................................................. 16 3 Natural Deduction for Propositional Logic 17 3.1 Derivations in Natural Deduction ..................................... 17 3.2 Examples ................................................. 19 3.3 Forward and Backward Reasoning .................................... 20 3.4 Reasoning by Cases ............................................ 22 3.5 Some Logical Identities .......................................... 23 3.6 Exercises ................................................. 24 4 Propositional Logic in Lean 25 4.1 Expressions for Propositions and Proofs ................................. 25 4.2 More commands ............................................ -
Iso/Iec Jtc 1/Sc 2 N 3769/Wg2 N2866 Date: 2004-11-12
ISO/IEC JTC 1/SC 2 N 3769/WG2 N2866 DATE: 2004-11-12 ISO/IEC JTC 1/SC 2 Coded Character Sets Secretariat: Japan (JISC) DOC. TYPE Summary of Voting/Table of Replies Summary of Voting on ISO/IEC JTC 1/SC 2 N 3758 : ISO/IEC 14651/FPDAM 2, Information technology -- International string ordering TITLE and comparison -- Method for comparing character strings and description of the common template tailorable ordering -- AMENDMENT 2 SOURCE SC 2 Secretariat PROJECT JTC1.02.14651.00.02 This document is forwarded to Project Editor for resolution of comments. STATUS The Project Editor is requested to prepare a draft disposition of comments report, revised text and a recommendation for further processing. ACTION ID FYI DUE DATE P, O and L Members of ISO/IEC JTC 1/SC 2 ; ISO/IEC JTC 1 Secretariat; DISTRIBUTION ISO/IEC ITTF ACCESS LEVEL Def ISSUE NO. 202 NAME 02n3769.pdf SIZE FILE (KB) 24 PAGES Secretariat ISO/IEC JTC 1/SC 2 - IPSJ/ITSCJ *(Information Processing Society of Japan/Information Technology Standards Commission of Japan) Room 308-3, Kikai-Shinko-Kaikan Bldg., 3-5-8, Shiba-Koen, Minato-ku, Tokyo 105- 0011 Japan *Standard Organization Accredited by JISC Telephone: +81-3-3431-2808; Facsimile: +81-3-3431-6493; E-mail: [email protected] Summary of Voting on ISO/IEC JTC 1/SC 2 N 3758 : ISO/IEC 14651/FPDAM 2, Information technology -- International string ordering and comparison -- Method for comparing character strings and description of the common template tailorable ordering AMENDMENT 2 Q1 : FPDAM Consideration Q1 Not yet Comments Approve -
1 Symbols (2286)
1 Symbols (2286) USV Symbol Macro(s) Description 0009 \textHT <control> 000A \textLF <control> 000D \textCR <control> 0022 ” \textquotedbl QUOTATION MARK 0023 # \texthash NUMBER SIGN \textnumbersign 0024 $ \textdollar DOLLAR SIGN 0025 % \textpercent PERCENT SIGN 0026 & \textampersand AMPERSAND 0027 ’ \textquotesingle APOSTROPHE 0028 ( \textparenleft LEFT PARENTHESIS 0029 ) \textparenright RIGHT PARENTHESIS 002A * \textasteriskcentered ASTERISK 002B + \textMVPlus PLUS SIGN 002C , \textMVComma COMMA 002D - \textMVMinus HYPHEN-MINUS 002E . \textMVPeriod FULL STOP 002F / \textMVDivision SOLIDUS 0030 0 \textMVZero DIGIT ZERO 0031 1 \textMVOne DIGIT ONE 0032 2 \textMVTwo DIGIT TWO 0033 3 \textMVThree DIGIT THREE 0034 4 \textMVFour DIGIT FOUR 0035 5 \textMVFive DIGIT FIVE 0036 6 \textMVSix DIGIT SIX 0037 7 \textMVSeven DIGIT SEVEN 0038 8 \textMVEight DIGIT EIGHT 0039 9 \textMVNine DIGIT NINE 003C < \textless LESS-THAN SIGN 003D = \textequals EQUALS SIGN 003E > \textgreater GREATER-THAN SIGN 0040 @ \textMVAt COMMERCIAL AT 005C \ \textbackslash REVERSE SOLIDUS 005E ^ \textasciicircum CIRCUMFLEX ACCENT 005F _ \textunderscore LOW LINE 0060 ‘ \textasciigrave GRAVE ACCENT 0067 g \textg LATIN SMALL LETTER G 007B { \textbraceleft LEFT CURLY BRACKET 007C | \textbar VERTICAL LINE 007D } \textbraceright RIGHT CURLY BRACKET 007E ~ \textasciitilde TILDE 00A0 \nobreakspace NO-BREAK SPACE 00A1 ¡ \textexclamdown INVERTED EXCLAMATION MARK 00A2 ¢ \textcent CENT SIGN 00A3 £ \textsterling POUND SIGN 00A4 ¤ \textcurrency CURRENCY SIGN 00A5 ¥ \textyen YEN SIGN 00A6 -
UTR #25: Unicode and Mathematics
UTR #25: Unicode and Mathematics http://www.unicode.org/reports/tr25/tr25-5.html Technical Reports Draft Unicode Technical Report #25 UNICODE SUPPORT FOR MATHEMATICS Version 1.0 Authors Barbara Beeton ([email protected]), Asmus Freytag ([email protected]), Murray Sargent III ([email protected]) Date 2002-05-08 This Version http://www.unicode.org/unicode/reports/tr25/tr25-5.html Previous Version http://www.unicode.org/unicode/reports/tr25/tr25-4.html Latest Version http://www.unicode.org/unicode/reports/tr25 Tracking Number 5 Summary Starting with version 3.2, Unicode includes virtually all of the standard characters used in mathematics. This set supports a variety of math applications on computers, including document presentation languages like TeX, math markup languages like MathML, computer algebra languages like OpenMath, internal representations of mathematics in systems like Mathematica and MathCAD, computer programs, and plain text. This technical report describes the Unicode mathematics character groups and gives some of their default math properties. Status This document has been approved by the Unicode Technical Committee for public review as a Draft Unicode Technical Report. Publication does not imply endorsement by the Unicode Consortium. This is a draft document which may be updated, replaced, or superseded by other documents at any time. This is not a stable document; it is inappropriate to cite this document as other than a work in progress. Please send comments to the authors. A list of current Unicode Technical Reports is found on http://www.unicode.org/unicode/reports/. For more information about versions of the Unicode Standard, see http://www.unicode.org/unicode/standard/versions/. -
Propositional Logic– Arguments (5A)
Propositional Logic– Arguments (5A) Young W. Lim 9/29/16 Copyright (c) 2016 Young W. Lim. Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version 1.2 or any later version published by the Free Software Foundation; with no Invariant Sections, no Front-Cover Texts, and no Back-Cover Texts. A copy of the license is included in the section entitled "GNU Free Documentation License". Please send corrections (or suggestions) to [email protected]. This document was produced by using LibreOffice Based on Contemporary Artificial Intelligence, R.E. Neapolitan & X. Jiang Logic and Its Applications, Burkey & Foxley Propositional Logic (5A) Young Won Lim Arguments 3 9/29/16 Arguments An argument consists of a set of propositions : The premises propositions The conclusion proposition List of premises followed by the conclusion A 1 A 2 … A n -------- B Propositional Logic (5A) Young Won Lim Arguments 4 9/29/16 Entail The premises is said to entail the conclusion If in every model in which all the premises are true, the conclusion is also true List of premises followed by the conclusion A 1 A 2 whenever … all the premises are true A n -------- B the conclusion must be true for the entailment Propositional Logic (5A) Young Won Lim Arguments 5 9/29/16 A Model A mode or possible world: Every atomic proposition is assigned a value T or F The set of all these assignments constitutes A model or a possible world All possile worlds (assignments) are permissiable Propositional Logic -
Data Stream Algorithms Lecture Notes
CS49: Data Stream Algorithms Lecture Notes, Fall 2011 Amit Chakrabarti Dartmouth College Latest Update: October 14, 2014 DRAFT Acknowledgements These lecture notes began as rough scribe notes for a Fall 2009 offering of the course “Data Stream Algorithms” at Dartmouth College. The initial scribe notes were prepared mostly by students enrolled in the course in 2009. Subsequently, during a Fall 2011 offering of the course, I edited the notes heavily, bringing them into presentable form, with the aim being to create a resource for students and other teachers of this material. I would like to acknowledge the initial effort by the 2009 students that got these notes started: Radhika Bhasin, Andrew Cherne, Robin Chhetri, Joe Cooley, Jon Denning, Alina Dja- mankulova, Ryan Kingston, Ranganath Kondapally, Adrian Kostrubiak, Konstantin Kutzkow, Aarathi Prasad, Priya Natarajan, and Zhenghui Wang. DRAFT Contents 0 Preliminaries: The Data Stream Model 5 0.1 TheBasicSetup................................... ........... 5 0.2 TheQualityofanAlgorithm’sAnswer . ................. 5 0.3 VariationsoftheBasicSetup . ................ 6 1 Finding Frequent Items Deterministically 7 1.1 TheProblem...................................... .......... 7 1.2 TheMisra-GriesAlgorithm. ............... 7 1.3 AnalysisoftheAlgorithm . .............. 7 2 Estimating the Number of Distinct Elements 9 2.1 TheProblem...................................... .......... 9 2.2 TheAlgorithm .................................... .......... 9 2.3 TheQualityoftheAlgorithm’sEstimate . .................. -
1. Latex and Symbolic Logic: an Introduction
Symbolic Logic and LATEX David W. Agler June 21, 2013 1 Introduction This document introduces some features of LATEX, the special symbols you will need in Symbolic Logic (PHIL012), and some reasons for why you should use LATEX over traditional word processing programs. This video also ac- companies several video tutorials on how to use LATEX in the Symbolic Logic (PHIL012) course at Penn State. 2 LATEX is not a word processor LATEX is a typesetting system that was originally designed to produce docu- ments with special symbols. LATEX is not a word processor which coordinates text with styling simultaneously. Instead, the LATEX system separates text from styling as it consists of (i) a text document (or *.tex file) which is text that does not contain any formatting and (ii) a compiler that takes the *.tex file and turns it into a readable and professionally stylized document. In other words, the production of a document using LATEX begins with the specification of what you want to say and the structure of what you want to say and this is then processed by a compiler which styles your document. To get a clearer idea of what some of this means, let's look at a very simple LATEX source document: \documentclass[12pt]{article} \begin{document} \title{Symbolic Logic and \LaTeX\ } \author{David W. Agler} 1 \date{\today} \maketitle \section{Introduction} Hello Again World! \end{document} The above specifies the class (or kind) of document you want to produce (an article, rather than a book or letter), commands for begining the document, the title of the article, the author of the article, the date, a command to make the title, a section that will automatically be numbered, some content that will appear as text (\Hello World"), and finally a command to end the document. -
Non-Adaptive Adaptive Sampling on Turnstile Streams
Non-Adaptive Adaptive Sampling on Turnstile Streams Sepideh Mahabadi∗ Ilya Razenshteyn† David P. Woodruff‡ Samson Zhou§ April 24, 2020 Abstract Adaptive sampling is a useful algorithmic tool for data summarization problems in the clas- sical centralized setting, where the entire dataset is available to the single processor performing the computation. Adaptive sampling repeatedly selects rows of an underlying matrix A Rn×d, where n d, with probabilities proportional to their distances to the subspace of the previously∈ selected rows.≫ Intuitively, adaptive sampling seems to be limited to trivial multi-pass algorithms in the streaming model of computation due to its inherently sequential nature of assigning sam- pling probabilities to each row only after the previous iteration is completed. Surprisingly, we show this is not the case by giving the first one-pass algorithms for adaptive sampling on turnstile streams and using space poly(d, k, log n), where k is the number of adaptive sampling rounds to be performed. Our adaptive sampling procedure has a number of applications to various data summariza- tion problems that either improve state-of-the-art or have only been previously studied in the more relaxed row-arrival model. We give the first relative-error algorithm for column subset selection on turnstile streams. We show our adaptive sampling algorithm also gives the first relative-error algorithm for subspace approximation on turnstile streams that returns k noisy rows of A. The quality of the output can be improved to a (1+ǫ)-approximation at the tradeoff of a bicriteria algorithm that outputs a larger number of rows.