The Mathematical Structure of Logical Syntax
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The Mathematical Structure of the Aesthetic
Preprints (www.preprints.org) | NOT PEER-REVIEWED | Posted: 12 June 2017 doi:10.20944/preprints201706.0055.v1 Peer-reviewed version available at Philosophies 2017, 2, 14; doi:10.3390/philosophies2030014 Article A New Kind of Aesthetics – The Mathematical Structure of the Aesthetic Akihiro Kubota 1,*, Hirokazu Hori 2, Makoto Naruse 3 and Fuminori Akiba 4 1 Art and Media Course, Department of Information Design, Tama Art University, 2-1723 Yarimizu, Hachioji, Tokyo 192-0394, Japan; [email protected] 2 Interdisciplinary Graduate School, University of Yamanashi, 4-3-11 Takeda, Kofu,Yamanashi 400-8511, Japan; [email protected] 3 Network System Research Institute, National Institute of Information and Communications Technology, 4-2-1 Nukui-kita, Koganei, Tokyo 184-8795, Japan; [email protected] 4 Philosophy of Information Group, Department of Systems and Social Informatics, Nagoya University, Furo-cho, Chikusa-ku, Nagoya, Aichi 464-8601, Japan; [email protected] * Correspondence: [email protected]; Tel.: +81-42-679-5634 Abstract: This paper proposes a new approach to investigation into the aesthetics. Specifically, it argues that it is possible to explain the aesthetic and its underlying dynamic relations with axiomatic structure (the octahedral axiom derived category) based on contemporary mathematics – namely, category theory – and through this argument suggests the possibility for discussion about the mathematical structure of the aesthetic. If there was a way to describe the structure of aesthetics with the language of mathematical structures and mathematical axioms – a language completely devoid of arbitrariness – then we would make possible a synthetical argument about the essential human activity of “the aesthetics”, and we would also gain a new method and viewpoint on the philosophy and meaning of the act of creating a work of art and artistic activities. -
CAS LX 522 Syntax I
It is likely… CAS LX 522 IP This satisfies the EPP in Syntax I both clauses. The main DPj I′ clause has Mary in SpecIP. Mary The embedded clause has Vi+I VP is the trace in SpecIP. V AP Week 14b. PRO and control ti This specific instance of A- A IP movement, where we move a likely subject from an embedded DP I′ clause to a higher clause is tj generally called subject raising. I VP to leave Reluctance to leave Reluctance to leave Now, consider: Reluctant has two θ-roles to assign. Mary is reluctant to leave. One to the one feeling the reluctance (Experiencer) One to the proposition about which the reluctance holds (Proposition) This looks very similar to Mary is likely to leave. Can we draw the same kind of tree for it? Leave has one θ-role to assign. To the one doing the leaving (Agent). How many θ-roles does reluctant assign? In Mary is reluctant to leave, what θ-role does Mary get? IP Reluctance to leave Reluctance… DPi I′ Mary Vj+I VP In Mary is reluctant to leave, is V AP Mary is doing the leaving, gets Agent t Mary is reluctant to leave. j t from leave. i A′ Reluctant assigns its θ- Mary is showing the reluctance, gets θ roles within AP as A θ IP Experiencer from reluctant. required, Mary moves reluctant up to SpecIP in the main I′ clause by Spellout. ? And we have a problem: I vP But what gets the θ-role to Mary appears to be getting two θ-roles, from leave, and what v′ in violation of the θ-criterion. -
Structure” of Physics: a Case Study∗ (Journal of Philosophy 106 (2009): 57–88)
The “Structure” of Physics: A Case Study∗ (Journal of Philosophy 106 (2009): 57–88) Jill North We are used to talking about the “structure” posited by a given theory of physics. We say that relativity is a theory about spacetime structure. Special relativity posits one spacetime structure; different models of general relativity posit different spacetime structures. We also talk of the “existence” of these structures. Special relativity says that the world’s spacetime structure is Minkowskian: it posits that this spacetime structure exists. Understanding structure in this sense seems important for understand- ing what physics is telling us about the world. But it is not immediately obvious just what this structure is, or what we mean by the existence of one structure, rather than another. The idea of mathematical structure is relatively straightforward. There is geometric structure, topological structure, algebraic structure, and so forth. Mathematical structure tells us how abstract mathematical objects t together to form different types of mathematical spaces. Insofar as we understand mathematical objects, we can understand mathematical structure. Of course, what to say about the nature of mathematical objects is not easy. But there seems to be no further problem for understanding mathematical structure. ∗For comments and discussion, I am extremely grateful to David Albert, Frank Arntzenius, Gordon Belot, Josh Brown, Adam Elga, Branden Fitelson, Peter Forrest, Hans Halvorson, Oliver Davis Johns, James Ladyman, David Malament, Oliver Pooley, Brad Skow, TedSider, Rich Thomason, Jason Turner, Dmitri Tymoczko, the philosophy faculty at Yale, audience members at The University of Michigan in fall 2006, and in 2007 at the Paci c APA, the Joint Session of the Aristotelian Society and Mind Association, and the Bellingham Summer Philosophy Conference. -
Group Theory
Appendix A Group Theory This appendix is a survey of only those topics in group theory that are needed to understand the composition of symmetry transformations and its consequences for fundamental physics. It is intended to be self-contained and covers those topics that are needed to follow the main text. Although in the end this appendix became quite long, a thorough understanding of group theory is possible only by consulting the appropriate literature in addition to this appendix. In order that this book not become too lengthy, proofs of theorems were largely omitted; again I refer to other monographs. From its very title, the book by H. Georgi [211] is the most appropriate if particle physics is the primary focus of interest. The book by G. Costa and G. Fogli [102] is written in the same spirit. Both books also cover the necessary group theory for grand unification ideas. A very comprehensive but also rather dense treatment is given by [428]. Still a classic is [254]; it contains more about the treatment of dynamical symmetries in quantum mechanics. A.1 Basics A.1.1 Definitions: Algebraic Structures From the structureless notion of a set, one can successively generate more and more algebraic structures. Those that play a prominent role in physics are defined in the following. Group A group G is a set with elements gi and an operation ◦ (called group multiplication) with the properties that (i) the operation is closed: gi ◦ g j ∈ G, (ii) a neutral element g0 ∈ G exists such that gi ◦ g0 = g0 ◦ gi = gi , (iii) for every gi exists an −1 ∈ ◦ −1 = = −1 ◦ inverse element gi G such that gi gi g0 gi gi , (iv) the operation is associative: gi ◦ (g j ◦ gk) = (gi ◦ g j ) ◦ gk. -
Syntax and Semantics of Propositional Logic
INTRODUCTIONTOLOGIC Lecture 2 Syntax and Semantics of Propositional Logic. Dr. James Studd Logic is the beginning of wisdom. Thomas Aquinas Outline 1 Syntax vs Semantics. 2 Syntax of L1. 3 Semantics of L1. 4 Truth-table methods. Examples of syntactic claims ‘Bertrand Russell’ is a proper noun. ‘likes logic’ is a verb phrase. ‘Bertrand Russell likes logic’ is a sentence. Combining a proper noun and a verb phrase in this way makes a sentence. Syntax vs. Semantics Syntax Syntax is all about expressions: words and sentences. ‘Bertrand Russell’ is a proper noun. ‘likes logic’ is a verb phrase. ‘Bertrand Russell likes logic’ is a sentence. Combining a proper noun and a verb phrase in this way makes a sentence. Syntax vs. Semantics Syntax Syntax is all about expressions: words and sentences. Examples of syntactic claims ‘likes logic’ is a verb phrase. ‘Bertrand Russell likes logic’ is a sentence. Combining a proper noun and a verb phrase in this way makes a sentence. Syntax vs. Semantics Syntax Syntax is all about expressions: words and sentences. Examples of syntactic claims ‘Bertrand Russell’ is a proper noun. ‘Bertrand Russell likes logic’ is a sentence. Combining a proper noun and a verb phrase in this way makes a sentence. Syntax vs. Semantics Syntax Syntax is all about expressions: words and sentences. Examples of syntactic claims ‘Bertrand Russell’ is a proper noun. ‘likes logic’ is a verb phrase. Combining a proper noun and a verb phrase in this way makes a sentence. Syntax vs. Semantics Syntax Syntax is all about expressions: words and sentences. Examples of syntactic claims ‘Bertrand Russell’ is a proper noun. -
Syntax: Recursion, Conjunction, and Constituency
Syntax: Recursion, Conjunction, and Constituency Course Readings Recursion Syntax: Conjunction Recursion, Conjunction, and Constituency Tests Auxiliary Verbs Constituency . Syntax: Course Readings Recursion, Conjunction, and Constituency Course Readings Recursion Conjunction Constituency Tests The following readings have been posted to the Moodle Auxiliary Verbs course site: I Language Files: Chapter 5 (pp. 204-215, 216-220) I Language Instinct: Chapter 4 (pp. 74-99) . Syntax: An Interesting Property of our PS Rules Recursion, Conjunction, and Our Current PS Rules: Constituency S ! f NP , CP g VP NP ! (D) (A*) N (CP) (PP*) Course Readings VP ! V (NP) f (NP) (CP) g (PP*) Recursion PP ! P (NP) Conjunction CP ! C S Constituency Tests Auxiliary Verbs An Interesting Feature of These Rules: As we saw last time, these rules allow sentences to contain other sentences. I A sentence must have a VP in it. I A VP can have a CP in it. I A CP must have an S in it. Syntax: An Interesting Property of our PS Rules Recursion, Conjunction, and Our Current PS Rules: Constituency S ! f NP , CP g VP NP ! (D) (A*) N (CP) (PP*) Course Readings VP ! V (NP) f (NP) (CP) g (PP*) Recursion ! PP P (NP) Conjunction CP ! C S Constituency Tests Auxiliary Verbs An Interesting Feature of These Rules: As we saw last time, these rules allow sentences to contain other sentences. S NP VP N V CP Dave thinks C S that . he. is. cool. Syntax: An Interesting Property of our PS Rules Recursion, Conjunction, and Our Current PS Rules: Constituency S ! f NP , CP g VP NP ! (D) (A*) N (CP) (PP*) Course Readings VP ! V (NP) f (NP) (CP) g (PP*) Recursion PP ! P (NP) Conjunction CP ! CS Constituency Tests Auxiliary Verbs Another Interesting Feature of These Rules: These rules also allow noun phrases to contain other noun phrases. -
The (Homo)Morphism Concept: Didactic Transposition, Meta-Discourse and Thematisation Thomas Hausberger
The (homo)morphism concept: didactic transposition, meta-discourse and thematisation Thomas Hausberger To cite this version: Thomas Hausberger. The (homo)morphism concept: didactic transposition, meta-discourse and the- matisation. International Journal of Research in Undergraduate Mathematics Education, Springer, 2017, 3 (3), pp.417-443. 10.1007/s40753-017-0052-7. hal-01408419 HAL Id: hal-01408419 https://hal.archives-ouvertes.fr/hal-01408419 Submitted on 20 Feb 2021 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. Noname manuscript No. (will be inserted by the editor) The (homo)morphism concept: didactic transposition, meta-discourse and thematisation Thomas Hausberger Received: date / Accepted: date Abstract This article focuses on the didactic transposition of the homomor- phism concept and on the elaboration and evaluation of an activity dedicated to the teaching of this fundamental concept in Abstract Algebra. It does not restrict to Group Theory but on the contrary raises the issue of the teaching and learning of algebraic structuralism, thus bridging Group and Ring Theo- ries and highlighting the phenomenon of thematisation. Emphasis is made on epistemological analysis and its interaction with didactics. The rationale of the isomorphism and homomorphism concepts is discussed, in particular through a textbook analysis focusing on the meta-discourse that mathematicians offer to illuminate the concepts. -
The Design and Validation of a Group Theory Concept Inventory
Portland State University PDXScholar Dissertations and Theses Dissertations and Theses Summer 8-10-2015 The Design and Validation of a Group Theory Concept Inventory Kathleen Mary Melhuish Portland State University Follow this and additional works at: https://pdxscholar.library.pdx.edu/open_access_etds Part of the Algebra Commons, Higher Education Commons, and the Science and Mathematics Education Commons Let us know how access to this document benefits ou.y Recommended Citation Melhuish, Kathleen Mary, "The Design and Validation of a Group Theory Concept Inventory" (2015). Dissertations and Theses. Paper 2490. https://doi.org/10.15760/etd.2487 This Dissertation is brought to you for free and open access. It has been accepted for inclusion in Dissertations and Theses by an authorized administrator of PDXScholar. Please contact us if we can make this document more accessible: [email protected]. The Design and Validation of a Group Theory Concept Inventory by Kathleen Mary Melhuish A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Mathematics Education Dissertation Committee: Sean Larsen, Chair John Caughman Samuel Cook Andrea Goforth Portland State University 2015 © 2015 Kathleen Mary Melhuish Abstract Within undergraduate mathematics education, there are few validated instruments designed for large-scale usage. The Group Concept Inventory (GCI) was created as an instrument to evaluate student conceptions related to introductory group theory topics. The inventory was created in three phases: domain analysis, question creation, and field-testing. The domain analysis phase included using an expert protocol to arrive at the topics to be assessed, analyzing curriculum, and reviewing literature. -
Lecture 1: Propositional Logic
Lecture 1: Propositional Logic Syntax Semantics Truth tables Implications and Equivalences Valid and Invalid arguments Normal forms Davis-Putnam Algorithm 1 Atomic propositions and logical connectives An atomic proposition is a statement or assertion that must be true or false. Examples of atomic propositions are: “5 is a prime” and “program terminates”. Propositional formulas are constructed from atomic propositions by using logical connectives. Connectives false true not and or conditional (implies) biconditional (equivalent) A typical propositional formula is The truth value of a propositional formula can be calculated from the truth values of the atomic propositions it contains. 2 Well-formed propositional formulas The well-formed formulas of propositional logic are obtained by using the construction rules below: An atomic proposition is a well-formed formula. If is a well-formed formula, then so is . If and are well-formed formulas, then so are , , , and . If is a well-formed formula, then so is . Alternatively, can use Backus-Naur Form (BNF) : formula ::= Atomic Proposition formula formula formula formula formula formula formula formula formula formula 3 Truth functions The truth of a propositional formula is a function of the truth values of the atomic propositions it contains. A truth assignment is a mapping that associates a truth value with each of the atomic propositions . Let be a truth assignment for . If we identify with false and with true, we can easily determine the truth value of under . The other logical connectives can be handled in a similar manner. Truth functions are sometimes called Boolean functions. 4 Truth tables for basic logical connectives A truth table shows whether a propositional formula is true or false for each possible truth assignment. -
1 Logic, Language and Meaning 2 Syntax and Semantics of Predicate
Semantics and Pragmatics 2 Winter 2011 University of Chicago Handout 1 1 Logic, language and meaning • A formal system is a set of primitives, some statements about the primitives (axioms), and some method of deriving further statements about the primitives from the axioms. • Predicate logic (calculus) is a formal system consisting of: 1. A syntax defining the expressions of a language. 2. A set of axioms (formulae of the language assumed to be true) 3. A set of rules of inference for deriving further formulas from the axioms. • We use this formal system as a tool for analyzing relevant aspects of the meanings of natural languages. • A formal system is a syntactic object, a set of expressions and rules of combination and derivation. However, we can talk about the relation between this system and the models that can be used to interpret it, i.e. to assign extra-linguistic entities as the meanings of expressions. • Logic is useful when it is possible to translate natural languages into a logical language, thereby learning about the properties of natural language meaning from the properties of the things that can act as meanings for a logical language. 2 Syntax and semantics of Predicate Logic 2.1 The vocabulary of Predicate Logic 1. Individual constants: fd; n; j; :::g 2. Individual variables: fx; y; z; :::g The individual variables and constants are the terms. 3. Predicate constants: fP; Q; R; :::g Each predicate has a fixed and finite number of ar- guments called its arity or valence. As we will see, this corresponds closely to argument positions for natural language predicates. -
Lambda Calculus and the Decision Problem
Lambda Calculus and the Decision Problem William Gunther November 8, 2010 Abstract In 1928, Alonzo Church formalized the λ-calculus, which was an attempt at providing a foundation for mathematics. At the heart of this system was the idea of function abstraction and application. In this talk, I will outline the early history and motivation for λ-calculus, especially in recursion theory. I will discuss the basic syntax and the primary rule: β-reduction. Then I will discuss how one would represent certain structures (numbers, pairs, boolean values) in this system. This will lead into some theorems about fixed points which will allow us have some fun and (if there is time) to supply a negative answer to Hilbert's Entscheidungsproblem: is there an effective way to give a yes or no answer to any mathematical statement. 1 History In 1928 Alonzo Church began work on his system. There were two goals of this system: to investigate the notion of 'function' and to create a powerful logical system sufficient for the foundation of mathematics. His main logical system was later (1935) found to be inconsistent by his students Stephen Kleene and J.B.Rosser, but the 'pure' system was proven consistent in 1936 with the Church-Rosser Theorem (which more details about will be discussed later). An application of λ-calculus is in the area of computability theory. There are three main notions of com- putability: Hebrand-G¨odel-Kleenerecursive functions, Turing Machines, and λ-definable functions. Church's Thesis (1935) states that λ-definable functions are exactly the functions that can be “effectively computed," in an intuitive way. -
A Logical Approach to Grammar Description Lionel Clément, Jérôme Kirman, Sylvain Salvati
A logical approach to grammar description Lionel Clément, Jérôme Kirman, Sylvain Salvati To cite this version: Lionel Clément, Jérôme Kirman, Sylvain Salvati. A logical approach to grammar description. Jour- nal of Language Modelling, Institute of Computer Science, Polish Academy of Sciences, Poland, 2015, Special issue on High-level methodologies for grammar engineering, 3 (1), pp. 87-143 10.15398/jlm.v3i1.94. hal-01251222 HAL Id: hal-01251222 https://hal.archives-ouvertes.fr/hal-01251222 Submitted on 19 Jan 2016 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. A logical approach to grammar description Lionel Clément, Jérôme Kirman, and Sylvain Salvati Université de Bordeaux LaBRI France abstract In the tradition of Model Theoretic Syntax, we propose a logical ap- Keywords: proach to the description of grammars. We combine in one formal- grammar ism several tools that are used throughout computer science for their description, logic, power of abstraction: logic and lambda calculus. We propose then a Finite State high-level formalism for describing mildly context sensitive grammars Automata, and their semantic interpretation. As we rely on the correspondence logical between logic and finite state automata, our method combines con- transduction, ciseness with effectivity.