IR, 45 (cor), 46 Θ, 48 MT Θ ,47 MT Θ,48 M 0,48. B l (cor)mt Θ,49 M i,49 A, 50, 134. s, 53. MT,53 Q i,53. U i,53 U s,53 φ i : M i Q i,54 P,55 s,55
|
|
- Bartholomew Stewart
- 8 years ago
- Views:
Transcription
1 References 1. G. Ludwig: Die Grundstrukturen einer physikalischen Theorie, 2nd edn (Springer-Verlag, Berlin Heidelberg New York, 1990). French translation by G. Thurler: Les structures de base d une théorie physique (Springer-Verlag, Berlin Heidelberg New York, 1990) 2. G. Ludwig: Einführung in die Grundlagen der theoretischen Physik, 4 vols. (Vieweg, Braunschweig, ) 3. E. Scheibe: Die Reduktion physikalischer Theorien. Teil I: Grundlagen und elementare Theorie (Springer-Verlag, Berlin Heidelberg New York, 1997) 4. E. Scheibe: Die Reduktion physikalischer Theorien. Teil II: Inkommensurabilität und Grenzfallreduktion (Springer-Verlag, Berlin Heidelberg New York, 1999) 5. E. Scheibe: Between Rationalism and Empiricism: Selected Papers in the Philosophy of Physics, Chapter III Reconstruction, Ed. by B. Falkenburg (Springer- Verlag, Berlin Heidelberg New York, 2001) 6. N. Bourbaki: Elements of Mathematics. Theory of Set (Springer-Verlag, Berlin Heidelberg New York, 1st edition 1968/2nd printing 2004) 7. W. Weidlich, G. Haag: Concepts and models of a quantitative sociology. In: Series of Synergetics, Vol. 14 (Springer-Verlag, Berlin Heidelberg New York, 1983) 8. G. Ludwig: An Axiomatic Basis for Quantum Mechanics, 2 vols. (Springer- Verlag, Berlin Heidelberg New York, 1986, 1987) 9. N. Bourbaki: Elements of Mathematics. General Topology, Chapters 1 4 (Springer-Verlag, Berlin Heidelberg New York, 1st edition 1989/2nd printing 1998) 10. N. Bourbaki: Elements of Mathematics. General Topology. Chapters 5 10 (Springer-Verlag, Berlin Heidelberg New York, 1st edition 1989/2nd printing 1998) 11. H.-J. Schmidt: Axiomatic Characterization of Physical Geometry, Lecture Notes in Physics, Vol. 111 (Springer-Verlag, Berlin Heidelberg New York, 1979) 12. P. Janich: Protophysik. In: Handbuch wissenschaftstheoretischer Begriffe, ed.by J. Speck (Hrsg.) (Vandenhoeck & Ruprecht, Göttingen, 1980) 13. P. Janich: Die Protophysik der Zeit (Suhrkamp, Frankfurt/Main, 1980) 14. G. Ludwig: The Relations between various Spacetime Theories in Semantical Aspect of Spacetime Theories, ed. by U. Majer, H.-J. Schmidt (BI- Wissenschaftsverlag, Mannheim, 1994)
2 List of Symbols W, 11, 14, 144 PT (also written PT ν), 12 A p (also written A pν ), 12, 44 ϱ, 12 G (also written G ν), 13, 60 W ν, 14, 144 MT,17, 18, 18 τ, 18, 18 τ x(b), 19, 23 ( x)r, 24 ( x)r, 24 =, 25, 26, 27, 27 /, 27, 27 Coll xr, 28 E x(r), 28 {x R(x)}, 28 {x, y}, 29 (x, y), 29 P, 30, 30 S(E 1,...,E n), 30 f 1,...,f n S,30, 34 B l,34 B lex, 40, 132 J, 44 Ã, 45 IR, 45 (cor), 46 Θ, 47 MT Θ,47 Θ, 48 MT Θ,48 M 0,48 s, 48 B l (cor)mt Θ,49 M i,49 A, 50, 134 MT ΘA, 50, 53 MT,53 Q i,53 s, 53 U i,53 U s,53 φ i : M i Q i,54 P,55 s,55 s,55 MT A, 56 Q i,73 s ν,73 MT Σ(Qi,s ν ), 73 (MT Σ),74 M i,74 ŝ ν,74 Σ, 74,74
3 176 List of Symbols, 74,74 MT P (also write P ), 75 N, 85 U,85 MT U,85 MT U A,85 H,96 MT ex, 113 MT ex, 113 PT ex, 113 PT ex PT, 114 B li, 114 PT β PT α, 116 appr, 117 PT appr, 117 W o(a), 124 A max, 124 W o(a max), 124 MTA, 125 Q is, 125 PT s, 125 Σ s, 126 E k, 131 u µ, 131 Σ new, 131 F, 132 T ( M1,...,IR), 132 F, 132 T (M 1,...,IR), 132 φ : F T ( M1,...,IR), 132 φ i : M i Mi, 132 F U, 132 E k, 132 u µ, 132 Ã ex, 133 H, 134 A, 135 H, 135 A, 137 G(A, H), 137 A h, 138 H h, 138 A h, 138 G h (A h, H h ), 138 G h (A, H), 138 G(A, H), 141 Ã tot, 143
4 Index application domain of a PT 12, 44 axiom 19 collectivizing 28, 47 explicit 19 finite set 48 implicit 20 axiomatic basis 73 simple 77 axiomatic relation 64 physically interpretable 77 axiomatic rule 20 basic language 34 extended 40, 132 initial 114 semantics of the 39 syntax of the 38 basic property 40 canonical extension of mappings 30 echelon 30 construction 30 scheme 30, 64 experiment hypothetical 96 fact 11 directly recordable 11 indirectly recordable 11 not stated 45 stated 45 finiteness of physics 52 fundamental domain of a PT 13, 60 hypotheses interpretation of 139 mathematical classification of 138 physical classification of 138 idealization process 53 imprecise mapping 54 indirect measurement 134 inaccuracy set of 137 classification of 140 mathematical 139 physical 140 interpretation of 141 law of nature idealized 75 idealized pure 77 pure 76 logics 21 mathematical structure 64 Mathematical Theory the basic 46 the standard 48 mathematical theory 17 constant of the 19 the idealized 53 enriched by A 56 the standard enriched by A 50 mathematization process 46 Measurement indirect 138 measurement
5 178 Index error of 44, 50 network of physical theories 118 norm 98 now 122 object 11 possible 131 property of 11 relation between 11 physical reality 12 physical system 128 physical theory 12 application domain of a 12, 44 approximation 117 closed 124 extended 113 fundamental domain of a 13, 60 new concept in a 131 new word in a 132 reality domain of a 14, 143 richer than another 116 skeleton 101 pre-theory 13, 112 proof 19 property 11 reality 11 possible 127, 131 new 131 structure of 11 reality domain of a PT 14, 143 all PTs 14, 144 recording process 34 recording rule 44 relation between objects 11 collectivizing 28 empirically allowed 97 empirically deductible 98 empirically refutable 98 possible 131 transportable 64 semantic compositionality 41 semantic relation 39 of denotation 43 of designation 41 of reference 42 of representation 42 sentence formal 46 compound 50 first kind 138 natural 34 compound 38, 45 extended 133 negation of a 38 set 27 auxiliary base 65 idealization of finite 54 idealized picture 53 inaccuracy 53, 85 possible 85 usable 87 physical 53 principal base 64 theory of 27 sign 18 equality 23 logical 18 relational 18 substantific 18 simple axiomatic basis 77 species of structures: 64, idealized 66 appr, approximation 117 ex, extended 113 Σ, basic 64 Σ new, related to new concepts 131 equally rich 66, 106 equivalent 66 poorer 66 procedure of deduction of a 68 representation of a 70 richer 66 theory of the 65 species of uniform structures 85 term intrinsic 68 picture 73 structure 64 theorem 20 truth of a proposition 43 typification 64 world formula 119
Introduction to formal semantics -
Introduction to formal semantics - Introduction to formal semantics 1 / 25 structure Motivation - Philosophy paradox antinomy division in object und Meta language Semiotics syntax semantics Pragmatics
More informationHandout #1: Mathematical Reasoning
Math 101 Rumbos Spring 2010 1 Handout #1: Mathematical Reasoning 1 Propositional Logic A proposition is a mathematical statement that it is either true or false; that is, a statement whose certainty or
More informationJOHN STUART MILL. John Skorupski. m London and New York
JOHN STUART MILL John Skorupski m London and New York Contents Preface Abbreviations xi xv 1 THE MILLIAN PHILOSOPHY 1 1 Philosophy and its past 1 2 Logic and metaphysics 5 3 Ethics and politics 12 4 The
More informationCHAPTER 7 GENERAL PROOF SYSTEMS
CHAPTER 7 GENERAL PROOF SYSTEMS 1 Introduction Proof systems are built to prove statements. They can be thought as an inference machine with special statements, called provable statements, or sometimes
More informationUnified Language for Network Security Policy Implementation
Unified Language for Network Security Policy Implementation Dmitry Chernyavskiy Information Security Faculty National Research Nuclear University MEPhI Moscow, Russia milnat2004@yahoo.co.uk Natalia Miloslavskaya
More informationTotal Degrees and Nonsplitting Properties of Σ 0 2 Enumeration Degrees
Total Degrees and Nonsplitting Properties of Σ 0 2 Enumeration Degrees M. M. Arslanov, S. B. Cooper, I. Sh. Kalimullin and M. I. Soskova Kazan State University, Russia University of Leeds, U.K. This paper
More informationRigorous Software Development CSCI-GA 3033-009
Rigorous Software Development CSCI-GA 3033-009 Instructor: Thomas Wies Spring 2013 Lecture 11 Semantics of Programming Languages Denotational Semantics Meaning of a program is defined as the mathematical
More informationRepresenting Reversible Cellular Automata with Reversible Block Cellular Automata
Discrete Mathematics and Theoretical Computer Science Proceedings AA (DM-CCG), 2001, 145 154 Representing Reversible Cellular Automata with Reversible Block Cellular Automata Jérôme Durand-Lose Laboratoire
More informationProf. Karl H Hofmann Analysis I for MCS Mathematics with Computer Science Memo 0
Analysis I 1 Prof. Karl H Hofmann Analysis I for MCS Mathematics with Computer Science Memo 0 Analysis I for Mathematics with Computer Science Winter Semester 2001-2002 This memo should help you to get
More informationIntroducing Formal Methods. Software Engineering and Formal Methods
Introducing Formal Methods Formal Methods for Software Specification and Analysis: An Overview 1 Software Engineering and Formal Methods Every Software engineering methodology is based on a recommended
More informationSign changes of Hecke eigenvalues of Siegel cusp forms of degree 2
Sign changes of Hecke eigenvalues of Siegel cusp forms of degree 2 Ameya Pitale, Ralf Schmidt 2 Abstract Let µ(n), n > 0, be the sequence of Hecke eigenvalues of a cuspidal Siegel eigenform F of degree
More informationA Modular Representation of a Business Process Planner
A Modular Representation of a Business Process Planner Shahab Tasharrofi and Evgenia Ternovska School of Computing Science Simon Fraser University Canada 1st International Workshop on Knowledge-intensive
More informationExtending Semantic Resolution via Automated Model Building: applications
Extending Semantic Resolution via Automated Model Building: applications Ricardo Caferra Nicolas Peltier LIFIA-IMAG L1F1A-IMAG 46, Avenue Felix Viallet 46, Avenue Felix Viallei 38031 Grenoble Cedex FRANCE
More informationImprecise probabilities, bets and functional analytic methods in Łukasiewicz logic.
Imprecise probabilities, bets and functional analytic methods in Łukasiewicz logic. Martina Fedel joint work with K.Keimel,F.Montagna,W.Roth Martina Fedel (UNISI) 1 / 32 Goal The goal of this talk is to
More informationSOME EXAMPLES OF INTEGRAL DEFINITE QUATERNARY QUADRATIC FORMS WITH PRIME DISCRIMINANT KI-ICHIRO HASHIMOTO
K. Hashimoto Nagoya Math. J. Vol. 77 (1980), 167-175 SOME EXAMPLES OF INTEGRAL DEFINITE QUATERNARY QUADRATIC FORMS WITH PRIME DISCRIMINANT KI-ICHIRO HASHIMOTO Introduction In the theory of integral quadratic
More information2. The Language of First-order Logic
2. The Language of First-order Logic KR & R Brachman & Levesque 2005 17 Declarative language Before building system before there can be learning, reasoning, planning, explanation... need to be able to
More informationChapter ML:IV. IV. Statistical Learning. Probability Basics Bayes Classification Maximum a-posteriori Hypotheses
Chapter ML:IV IV. Statistical Learning Probability Basics Bayes Classification Maximum a-posteriori Hypotheses ML:IV-1 Statistical Learning STEIN 2005-2015 Area Overview Mathematics Statistics...... Stochastics
More informationA new evaluation model for e-learning programs
A new evaluation model for e-learning programs Uranchimeg Tudevdagva 1, Wolfram Hardt 2 Abstract This paper deals with a measure theoretical model for evaluation of e-learning programs. Based on methods
More informationRemarks on Non-Fregean Logic
STUDIES IN LOGIC, GRAMMAR AND RHETORIC 10 (23) 2007 Remarks on Non-Fregean Logic Mieczys law Omy la Institute of Philosophy University of Warsaw Poland m.omyla@uw.edu.pl 1 Introduction In 1966 famous Polish
More informationForecasting methods applied to engineering management
Forecasting methods applied to engineering management Áron Szász-Gábor Abstract. This paper presents arguments for the usefulness of a simple forecasting application package for sustaining operational
More informationarxiv:0804.4490v1 [math.gm] 28 Apr 2008
Infinite sequences in the framework of classical logic arxiv:0804.4490v1 [math.gm] 28 Apr 2008 V.V. Ivanov N.N. Semenov Institute of Chemical Physics, Russian Academy of Sciences, Kosygin str.4, Moscow,
More informationPredicate Logic. For example, consider the following argument:
Predicate Logic The analysis of compound statements covers key aspects of human reasoning but does not capture many important, and common, instances of reasoning that are also logically valid. For example,
More informationLOW-DEGREE PLANAR MONOMIALS IN CHARACTERISTIC TWO
LOW-DEGREE PLANAR MONOMIALS IN CHARACTERISTIC TWO PETER MÜLLER AND MICHAEL E. ZIEVE Abstract. Planar functions over finite fields give rise to finite projective planes and other combinatorial objects.
More informationThis asserts two sets are equal iff they have the same elements, that is, a set is determined by its elements.
3. Axioms of Set theory Before presenting the axioms of set theory, we first make a few basic comments about the relevant first order logic. We will give a somewhat more detailed discussion later, but
More informationKLMLean 2.0: A Theorem Prover for KLM Logics of Nonmonotonic Reasoning
KLMLean 2.0: A Theorem Prover for KLM Logics of Nonmonotonic Reasoning Laura Giordano 1, Valentina Gliozzi 2, and Gian Luca Pozzato 2 1 Dipartimento di Informatica - Università del Piemonte Orientale A.
More informationPredicate Logic Review
Predicate Logic Review UC Berkeley, Philosophy 142, Spring 2016 John MacFarlane 1 Grammar A term is an individual constant or a variable. An individual constant is a lowercase letter from the beginning
More informationUPDATES OF LOGIC PROGRAMS
Computing and Informatics, Vol. 20, 2001,????, V 2006-Nov-6 UPDATES OF LOGIC PROGRAMS Ján Šefránek Department of Applied Informatics, Faculty of Mathematics, Physics and Informatics, Comenius University,
More informationFrom Logic to Montague Grammar: Some Formal and Conceptual Foundations of Semantic Theory
From Logic to Montague Grammar: Some Formal and Conceptual Foundations of Semantic Theory Syllabus Linguistics 720 Tuesday, Thursday 2:30 3:45 Room: Dickinson 110 Course Instructor: Seth Cable Course Mentor:
More informationNon-Archimedean Probability and Conditional Probability; ManyVal2013 Prague 2013. F.Montagna, University of Siena
Non-Archimedean Probability and Conditional Probability; ManyVal2013 Prague 2013 F.Montagna, University of Siena 1. De Finetti s approach to probability. De Finetti s definition of probability is in terms
More informationError Control and Adaptivity for Reduced Basis Approximations of Parametrized Evolution Equations. Mario Ohlberger
Error Control and Adaptivity for Reduced Basis Approximations of Parametrized Evolution Equations Mario Ohlberger In cooperation with: M. Dihlmann, M. Drohmann, B. Haasdonk, G. Rozza Workshop on A posteriori
More informationFoundational Proof Certificates
An application of proof theory to computer science INRIA-Saclay & LIX, École Polytechnique CUSO Winter School, Proof and Computation 30 January 2013 Can we standardize, communicate, and trust formal proofs?
More informationGeometrical Characterization of RN-operators between Locally Convex Vector Spaces
Geometrical Characterization of RN-operators between Locally Convex Vector Spaces OLEG REINOV St. Petersburg State University Dept. of Mathematics and Mechanics Universitetskii pr. 28, 198504 St, Petersburg
More informationLecture 8. Confidence intervals and the central limit theorem
Lecture 8. Confidence intervals and the central limit theorem Mathematical Statistics and Discrete Mathematics November 25th, 2015 1 / 15 Central limit theorem Let X 1, X 2,... X n be a random sample of
More informationBeyond Propositional Logic Lukasiewicz s System
Beyond Propositional Logic Lukasiewicz s System Consider the following set of truth tables: 1 0 0 1 # # 1 0 # 1 1 0 # 0 0 0 0 # # 0 # 1 0 # 1 1 1 1 0 1 0 # # 1 # # 1 0 # 1 1 0 # 0 1 1 1 # 1 # 1 Brandon
More informationOn using numerical algebraic geometry to find Lyapunov functions of polynomial dynamical systems
Dynamics at the Horsetooth Volume 2, 2010. On using numerical algebraic geometry to find Lyapunov functions of polynomial dynamical systems Eric Hanson Department of Mathematics Colorado State University
More informationThe epistemic structure of de Finetti s betting problem
The epistemic structure of de Finetti s betting problem Tommaso Flaminio 1 and Hykel Hosni 2 1 IIIA - CSIC Campus de la Univ. Autònoma de Barcelona s/n 08193 Bellaterra, Spain. Email: tommaso@iiia.csic.es
More informationINDISTINGUISHABILITY OF ABSOLUTELY CONTINUOUS AND SINGULAR DISTRIBUTIONS
INDISTINGUISHABILITY OF ABSOLUTELY CONTINUOUS AND SINGULAR DISTRIBUTIONS STEVEN P. LALLEY AND ANDREW NOBEL Abstract. It is shown that there are no consistent decision rules for the hypothesis testing problem
More informationEFFECTIVE CONSTRUCTIVE MODELS OF IMPLICIT SELECTION IN BUSINESS PROCESSES. Nataliya Golyan, Vera Golyan, Olga Kalynychenko
380 International Journal Information Theories and Applications, Vol. 18, Number 4, 2011 EFFECTIVE CONSTRUCTIVE MODELS OF IMPLICIT SELECTION IN BUSINESS PROCESSES Nataliya Golyan, Vera Golyan, Olga Kalynychenko
More informationBiinterpretability up to double jump in the degrees
Biinterpretability up to double jump in the degrees below 0 0 Richard A. Shore Department of Mathematics Cornell University Ithaca NY 14853 July 29, 2013 Abstract We prove that, for every z 0 0 with z
More informationD. Greenberger, Springer-Verlag, to appear. 1 In: Compendium of Quantum Physics, eds. F. Weinert, K. Hentschel and
Measurement Theory 1 The term measurement theory refers to that part of a physical theory in which the empirical and operational content of the concepts of the theory is determined. Measurements are analyzed
More informationEQUATIONAL LOGIC AND ABSTRACT ALGEBRA * ABSTRACT
EQUATIONAL LOGIC AND ABSTRACT ALGEBRA * Taje I. Ramsamujh Florida International University Mathematics Department ABSTRACT Equational logic is a formalization of the deductive methods encountered in studying
More informationEFFICIENT KNOWLEDGE BASE MANAGEMENT IN DCSP
EFFICIENT KNOWLEDGE BASE MANAGEMENT IN DCSP Hong Jiang Mathematics & Computer Science Department, Benedict College, USA jiangh@benedict.edu ABSTRACT DCSP (Distributed Constraint Satisfaction Problem) has
More informationCyclotomic Extensions
Chapter 7 Cyclotomic Extensions A cyclotomic extension Q(ζ n ) of the rationals is formed by adjoining a primitive n th root of unity ζ n. In this chapter, we will find an integral basis and calculate
More informationLogic in general. Inference rules and theorem proving
Logical Agents Knowledge-based agents Logic in general Propositional logic Inference rules and theorem proving First order logic Knowledge-based agents Inference engine Knowledge base Domain-independent
More informationA NOTE ON INITIAL SEGMENTS OF THE ENUMERATION DEGREES
A NOTE ON INITIAL SEGMENTS OF THE ENUMERATION DEGREES THEODORE A. SLAMAN AND ANDREA SORBI Abstract. We show that no nontrivial principal ideal of the enumeration degrees is linearly ordered: In fact, below
More informationA Geometry of Oriented Curves *
ftp://ftp.informatik.uni-hamburg.de/pub/unihh/informatik/wsv/trorientedcurves.pdf A Geometry of Oriented Curves * Lars Kulik & Carola Eschenbach Report from the project 'Axiomatics of Spatial Concepts'
More informationCURVES WHOSE SECANT DEGREE IS ONE IN POSITIVE CHARACTERISTIC. 1. Introduction
Acta Math. Univ. Comenianae Vol. LXXXI, 1 (2012), pp. 71 77 71 CURVES WHOSE SECANT DEGREE IS ONE IN POSITIVE CHARACTERISTIC E. BALLICO Abstract. Here we study (in positive characteristic) integral curves
More informationSome Research Problems in Uncertainty Theory
Journal of Uncertain Systems Vol.3, No.1, pp.3-10, 2009 Online at: www.jus.org.uk Some Research Problems in Uncertainty Theory aoding Liu Uncertainty Theory Laboratory, Department of Mathematical Sciences
More informationBenchmark Rates for XL Reinsurance Revisited: Model Comparison for the Swiss MTPL Market
Benchmark Rates for XL Reinsurance Revisited: Model Comparison for the Swiss MTPL Market W. Hürlimann 1 Abstract. We consider the dynamic stable benchmark rate model introduced in Verlaak et al. (005),
More informationThe sample space for a pair of die rolls is the set. The sample space for a random number between 0 and 1 is the interval [0, 1].
Probability Theory Probability Spaces and Events Consider a random experiment with several possible outcomes. For example, we might roll a pair of dice, flip a coin three times, or choose a random real
More informationCyber-Security Analysis of State Estimators in Power Systems
Cyber-Security Analysis of State Estimators in Electric Power Systems André Teixeira 1, Saurabh Amin 2, Henrik Sandberg 1, Karl H. Johansson 1, and Shankar Sastry 2 ACCESS Linnaeus Centre, KTH-Royal Institute
More informationGalois Theory III. 3.1. Splitting fields.
Galois Theory III. 3.1. Splitting fields. We know how to construct a field extension L of a given field K where a given irreducible polynomial P (X) K[X] has a root. We need a field extension of K where
More informationCSE 459/598: Logic for Computer Scientists (Spring 2012)
CSE 459/598: Logic for Computer Scientists (Spring 2012) Time and Place: T Th 10:30-11:45 a.m., M1-09 Instructor: Joohyung Lee (joolee@asu.edu) Instructor s Office Hours: T Th 4:30-5:30 p.m. and by appointment
More informationBetting on Fuzzy and Many-valued Propositions
Betting on Fuzzy and Many-valued Propositions Peter Milne 1 Introduction In a 1968 article, Probability Measures of Fuzzy Events, Lotfi Zadeh proposed accounts of absolute and conditional probability for
More informationTransfer of the Ramsey Property between Classes
1 / 20 Transfer of the Ramsey Property between Classes Lynn Scow Vassar College BLAST 2015 @ UNT 2 / 20 Classes We consider classes of finite structures such as K < = {(V,
More informationSome stability results of parameter identification in a jump diffusion model
Some stability results of parameter identification in a jump diffusion model D. Düvelmeyer Technische Universität Chemnitz, Fakultät für Mathematik, 09107 Chemnitz, Germany Abstract In this paper we discuss
More informationCassandra. References:
Cassandra References: Becker, Moritz; Sewell, Peter. Cassandra: Flexible Trust Management, Applied to Electronic Health Records. 2004. Li, Ninghui; Mitchell, John. Datalog with Constraints: A Foundation
More informationA domain of spacetime intervals in general relativity
A domain of spacetime intervals in general relativity Keye Martin Department of Mathematics Tulane University New Orleans, LA 70118 United States of America martin@math.tulane.edu Prakash Panangaden School
More informationLogic, Algebra and Truth Degrees 2008. Siena. A characterization of rst order rational Pavelka's logic
Logic, Algebra and Truth Degrees 2008 September 8-11, 2008 Siena A characterization of rst order rational Pavelka's logic Xavier Caicedo Universidad de los Andes, Bogota Under appropriate formulations,
More informationThe Theory of Geographical Dimensions
The Theory of Geographical Dimensions Private lecturer Dr. rer. nat. habil. Eberhard Sandner Abstract. The theory of geographical dimensions is an empirical theory. The author shows how the theory of geographical
More informationErnst Binz and Peter ojners Universität Mannheirh Lehrstuhl Mathematik I, SeminJrgebäude 68131 Mannheim
Einstein Equation and Geometrie Quantization Ernst Binz and Peter ojners Universität Mannheirh Lehrstuhl Mathematik, SeminJrgebäude 68131 Mannheim A5 No. 202 / 1995 Einstein Equation and Geometnic Quantization
More informationNeighborhood Data and Database Security
Neighborhood Data and Database Security Kioumars Yazdanian, FrkdCric Cuppens e-mail: yaz@ tls-cs.cert.fr - cuppens@ tls-cs.cert.fr CERT / ONERA, Dept. of Computer Science 2 avenue E. Belin, B.P. 4025,31055
More informationA SURVEY ON CONTINUOUS ELLIPTICAL VECTOR DISTRIBUTIONS
A SURVEY ON CONTINUOUS ELLIPTICAL VECTOR DISTRIBUTIONS Eusebio GÓMEZ, Miguel A. GÓMEZ-VILLEGAS and J. Miguel MARÍN Abstract In this paper it is taken up a revision and characterization of the class of
More informationSummary Last Lecture. Automated Reasoning. Outline of the Lecture. Definition sequent calculus. Theorem (Normalisation and Strong Normalisation)
Summary Summary Last Lecture sequent calculus Automated Reasoning Georg Moser Institute of Computer Science @ UIBK Winter 013 (Normalisation and Strong Normalisation) let Π be a proof in minimal logic
More informationDEGREE OF NEGATION OF AN AXIOM
DEGREE OF NEGATION OF AN AXIOM Florentin Smarandache, Ph D Professor of Mathematics Chair of Department of Math & Sciences University of New Mexico 200 College Road Gallup, NM 87301, USA E-mail: smarand@unm.edu
More informationMCS 563 Spring 2014 Analytic Symbolic Computation Wednesday 9 April. Hilbert Polynomials
Hilbert Polynomials For a monomial ideal, we derive the dimension counting the monomials in the complement, arriving at the notion of the Hilbert polynomial. The first half of the note is derived from
More informationA Uniform Asymptotic Estimate for Discounted Aggregate Claims with Subexponential Tails
12th International Congress on Insurance: Mathematics and Economics July 16-18, 2008 A Uniform Asymptotic Estimate for Discounted Aggregate Claims with Subexponential Tails XUEMIAO HAO (Based on a joint
More informationResearch Article Stability Analysis for Higher-Order Adjacent Derivative in Parametrized Vector Optimization
Hindawi Publishing Corporation Journal of Inequalities and Applications Volume 2010, Article ID 510838, 15 pages doi:10.1155/2010/510838 Research Article Stability Analysis for Higher-Order Adjacent Derivative
More informationMATH ADVISEMENT GUIDE
MATH ADVISEMENT GUIDE Recommendations for math courses are based on your placement results, degree program and career interests. Placement score: MAT 001 or MAT 00 You must complete required mathematics
More informationSimulation Exercises to Reinforce the Foundations of Statistical Thinking in Online Classes
Simulation Exercises to Reinforce the Foundations of Statistical Thinking in Online Classes Simcha Pollack, Ph.D. St. John s University Tobin College of Business Queens, NY, 11439 pollacks@stjohns.edu
More informationScheduling and Location (ScheLoc): Makespan Problem with Variable Release Dates
Scheduling and Location (ScheLoc): Makespan Problem with Variable Release Dates Donatas Elvikis, Horst W. Hamacher, Marcel T. Kalsch Department of Mathematics, University of Kaiserslautern, Kaiserslautern,
More informationThe Settling Time Reducibility Ordering and 0 2 Setting
THE SETTLING TIME REDUCIBILITY ORDERING AND 0 2 SETS BARBARA F. CSIMA Abstract. The Settling Time reducibility ordering gives an ordering on computably enumerable sets based on their enumerations. The
More informationWe would like to state the following system of natural deduction rules preserving falsity:
A Natural Deduction System Preserving Falsity 1 Wagner de Campos Sanz Dept. of Philosophy/UFG/Brazil sanz@fchf.ufg.br Abstract This paper presents a natural deduction system preserving falsity. This new
More informationFIRST ORDER THEORY OF THE s-degrees AND ARITHMETIC
FIRST ORDER THEORY OF THE s-degrees AND ARITHMETIC DANIELE MARSIBILIO AND ANDREA SORBI Abstract. We show that the first order theories of the s-degrees, and of the Q-degrees, are computably isomorphic
More informationMachine Learning and Data Analysis overview. Department of Cybernetics, Czech Technical University in Prague. http://ida.felk.cvut.
Machine Learning and Data Analysis overview Jiří Kléma Department of Cybernetics, Czech Technical University in Prague http://ida.felk.cvut.cz psyllabus Lecture Lecturer Content 1. J. Kléma Introduction,
More informationSets of Fibre Homotopy Classes and Twisted Order Parameter Spaces
Communications in Mathematical Physics Manuscript-Nr. (will be inserted by hand later) Sets of Fibre Homotopy Classes and Twisted Order Parameter Spaces Stefan Bechtluft-Sachs, Marco Hien Naturwissenschaftliche
More informationLecture 3: Growth with Overlapping Generations (Acemoglu 2009, Chapter 9, adapted from Zilibotti)
Lecture 3: Growth with Overlapping Generations (Acemoglu 2009, Chapter 9, adapted from Zilibotti) Kjetil Storesletten September 10, 2013 Kjetil Storesletten () Lecture 3 September 10, 2013 1 / 44 Growth
More informationFirst-Order Logics and Truth Degrees
First-Order Logics and Truth Degrees George Metcalfe Mathematics Institute University of Bern LATD 2014, Vienna Summer of Logic, 15-19 July 2014 George Metcalfe (University of Bern) First-Order Logics
More information! " # The Logic of Descriptions. Logics for Data and Knowledge Representation. Terminology. Overview. Three Basic Features. Some History on DLs
,!0((,.+#$),%$(-&.& *,2(-$)%&2.'3&%!&, Logics for Data and Knowledge Representation Alessandro Agostini agostini@dit.unitn.it University of Trento Fausto Giunchiglia fausto@dit.unitn.it The Logic of Descriptions!$%&'()*$#)
More informationGambling Systems and Multiplication-Invariant Measures
Gambling Systems and Multiplication-Invariant Measures by Jeffrey S. Rosenthal* and Peter O. Schwartz** (May 28, 997.. Introduction. This short paper describes a surprising connection between two previously
More informationStiffness Matrices of Isoparametric Four-node Finite Elements by Exact Analytical Integration
Stiffness Matrices of Isoparametric Four-node Finite Elements by Exact Analytical Integration Key words: Gautam Dasgupta, Member ASCE Columbia University, New York, NY C ++ code, convex quadrilateral element,
More informationSeparation Properties for Locally Convex Cones
Journal of Convex Analysis Volume 9 (2002), No. 1, 301 307 Separation Properties for Locally Convex Cones Walter Roth Department of Mathematics, Universiti Brunei Darussalam, Gadong BE1410, Brunei Darussalam
More informationUniversity of Ostrava. Reasoning in Description Logic with Semantic Tableau Binary Trees
University of Ostrava Institute for Research and Applications of Fuzzy Modeling Reasoning in Description Logic with Semantic Tableau Binary Trees Alena Lukasová Research report No. 63 2005 Submitted/to
More informationSpecification and Analysis of Contracts Lecture 1 Introduction
Specification and Analysis of Contracts Lecture 1 Introduction Gerardo Schneider gerardo@ifi.uio.no http://folk.uio.no/gerardo/ Department of Informatics, University of Oslo SEFM School, Oct. 27 - Nov.
More informationACTA UNIVERSITATIS APULENSIS No 15/2008 PRODUCTS OF MULTIALGEBRAS AND THEIR FUNDAMENTAL ALGEBRAS. Cosmin Pelea
ACTA UNIVERSITATIS APULENSIS No 15/2008 PRODUCTS OF MULTIALGEBRAS AND THEIR FUNDAMENTAL ALGEBRAS Cosmin Pelea Abstract. An important tool in the hyperstructure theory is the fundamental relation. The factorization
More informationPersuasion by Cheap Talk - Online Appendix
Persuasion by Cheap Talk - Online Appendix By ARCHISHMAN CHAKRABORTY AND RICK HARBAUGH Online appendix to Persuasion by Cheap Talk, American Economic Review Our results in the main text concern the case
More informationAdditional questions for chapter 4
Additional questions for chapter 4 1. A stock price is currently $ 1. Over the next two six-month periods it is expected to go up by 1% or go down by 1%. The risk-free interest rate is 8% per annum with
More informationAnalytic cohomology groups in top degrees of Zariski open sets in P n
Analytic cohomology groups in top degrees of Zariski open sets in P n Gabriel Chiriacescu, Mihnea Colţoiu, Cezar Joiţa Dedicated to Professor Cabiria Andreian Cazacu on her 80 th birthday 1 Introduction
More informationMATHEMATICS EDUCATION FOR SOFTWARE ENGINEERS: IT SHOULD BE RADICALLY DIFFERENT!
MATHEMATICS EDUCATION FOR SOFTWARE ENGINEERS: IT SHOULD BE RADICALLY DIFFERENT! Franz LICHTENBERGER Research Institute for Sybolic Computation (Risc-Linz) Johannes Kepler University and Department of Software
More informationA STUDY OF SEMANTICS, TYPES AND LANGUAGES FOR DATABASES AND OBJECT-ORIENTED PROGRAMMING ATSUSHI OHORI. Computer and Information Science
A STUDY OF SEMANTICS, TYPES AND LANGUAGES FOR DATABASES AND OBJECT-ORIENTED PROGRAMMING ATSUSHI OHORI A DISSERTATION in Computer and Information Science Presented to the Faculties of the University of
More informationDevelopment of a computer system to support knowledge acquisition of basic logical forms using fairy tale "Alice in Wonderland"
Development of a computer system to support knowledge acquisition of basic logical forms using fairy tale "Alice in Wonderland" Antonija Mihaljević Španjić *, Alen Jakupović *, Matea Tomić * * Polytechnic
More informationSharing Online Advertising Revenue with Consumers
Sharing Online Advertising Revenue with Consumers Yiling Chen 2,, Arpita Ghosh 1, Preston McAfee 1, and David Pennock 1 1 Yahoo! Research. Email: arpita, mcafee, pennockd@yahoo-inc.com 2 Harvard University.
More informationNumerical PDE methods for exotic options
Lecture 8 Numerical PDE methods for exotic options Lecture Notes by Andrzej Palczewski Computational Finance p. 1 Barrier options For barrier option part of the option contract is triggered if the asset
More informationON GENERALIZED RELATIVE COMMUTATIVITY DEGREE OF A FINITE GROUP. A. K. Das and R. K. Nath
International Electronic Journal of Algebra Volume 7 (2010) 140-151 ON GENERALIZED RELATIVE COMMUTATIVITY DEGREE OF A FINITE GROUP A. K. Das and R. K. Nath Received: 12 October 2009; Revised: 15 December
More informationPredicate logic Proofs Artificial intelligence. Predicate logic. SET07106 Mathematics for Software Engineering
Predicate logic SET07106 Mathematics for Software Engineering School of Computing Edinburgh Napier University Module Leader: Uta Priss 2010 Copyright Edinburgh Napier University Predicate logic Slide 1/24
More information1 Aim of the talk. 2 Approaches to question embedding predicates
Consistency conditions ruling German question embedding Kerstin Schwabe & Robert Fittler (ZAS Berlin, FU Berlin) (schwabe@zas.gwz-berlin.de, robertfittler@netscape.net) 1 Aim of the talk The paper presents
More informationBasics of Statistical Machine Learning
CS761 Spring 2013 Advanced Machine Learning Basics of Statistical Machine Learning Lecturer: Xiaojin Zhu jerryzhu@cs.wisc.edu Modern machine learning is rooted in statistics. You will find many familiar
More information1 Portfolio Selection
COS 5: Theoretical Machine Learning Lecturer: Rob Schapire Lecture # Scribe: Nadia Heninger April 8, 008 Portfolio Selection Last time we discussed our model of the stock market N stocks start on day with
More informationFun with Henry. Dirk Pattinson Department of Computing Imperial College London
Fun with Henry Dirk Pattinson Department of Computing Imperial College London 1 Example: The Tudors Henry VIII Henry Carey Mary Boleyn There have been speculation that Mary s two children, Catherine and
More information1 The Black-Scholes model: extensions and hedging
1 The Black-Scholes model: extensions and hedging 1.1 Dividends Since we are now in a continuous time framework the dividend paid out at time t (or t ) is given by dd t = D t D t, where as before D denotes
More information