John Von Neumann 1903-1957
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Journal Abbreviations
Abbreviations of Names of Serials This list gives the form of references used in Mathematical Reviews (MR). not previously listed ⇤ The abbreviation is followed by the complete title, the place of publication journal indexed cover-to-cover § and other pertinent information. † monographic series Update date: July 1, 2016 4OR 4OR. A Quarterly Journal of Operations Research. Springer, Berlin. ISSN Acta Math. Hungar. Acta Mathematica Hungarica. Akad. Kiad´o,Budapest. § 1619-4500. ISSN 0236-5294. 29o Col´oq. Bras. Mat. 29o Col´oquio Brasileiro de Matem´atica. [29th Brazilian Acta Math. Sci. Ser. A Chin. Ed. Acta Mathematica Scientia. Series A. Shuxue † § Mathematics Colloquium] Inst. Nac. Mat. Pura Apl. (IMPA), Rio de Janeiro. Wuli Xuebao. Chinese Edition. Kexue Chubanshe (Science Press), Beijing. ISSN o o † 30 Col´oq. Bras. Mat. 30 Col´oquio Brasileiro de Matem´atica. [30th Brazilian 1003-3998. ⇤ Mathematics Colloquium] Inst. Nac. Mat. Pura Apl. (IMPA), Rio de Janeiro. Acta Math. Sci. Ser. B Engl. Ed. Acta Mathematica Scientia. Series B. English § Edition. Sci. Press Beijing, Beijing. ISSN 0252-9602. † Aastaraam. Eesti Mat. Selts Aastaraamat. Eesti Matemaatika Selts. [Annual. Estonian Mathematical Society] Eesti Mat. Selts, Tartu. ISSN 1406-4316. Acta Math. Sin. (Engl. Ser.) Acta Mathematica Sinica (English Series). § Springer, Berlin. ISSN 1439-8516. † Abel Symp. Abel Symposia. Springer, Heidelberg. ISSN 2193-2808. Abh. Akad. Wiss. G¨ottingen Neue Folge Abhandlungen der Akademie der Acta Math. Sinica (Chin. Ser.) Acta Mathematica Sinica. Chinese Series. † § Wissenschaften zu G¨ottingen. Neue Folge. [Papers of the Academy of Sciences Chinese Math. Soc., Acta Math. Sinica Ed. Comm., Beijing. ISSN 0583-1431. -
6. Knowledge, Information, and Entropy the Book John Von
6. Knowledge, Information, and Entropy The book John von Neumann and the Foundations of Quantum Physics contains a fascinating and informative article written by Eckehart Kohler entitled “Why von Neumann Rejected Carnap’s Dualism of Information Concept.” The topic is precisely the core issue before us: How is knowledge connected to physics? Kohler illuminates von Neumann’s views on this subject by contrasting them to those of Carnap. Rudolph Carnap was a distinguished philosopher, and member of the Vienna Circle. He was in some sense a dualist. He had studied one of the central problems of philosophy, namely the distinction between analytic statements and synthetic statements. (The former are true or false by virtue of a specified set of rules held in our minds, whereas the latter are true or false by virtue their concordance with physical or empirical facts.) His conclusions had led him to the idea that there are two different domains of truth, one pertaining to logic and mathematics and the other to physics and the natural sciences. This led to the claim that there are “Two Concepts of Probability,” one logical the other physical. That conclusion was in line with the fact that philosophers were then divided between two main schools as to whether probability should be understood in terms of abstract idealizations or physical sequences of outcomes of measurements. Carnap’s bifurcations implied a similar division between two different concepts of information, and of entropy. In 1952 Carnap was working at the Institute for Advanced Study in Princeton and about to publish a work on his dualistic theory of information, according to which epistemological concepts like information should be treated separately from physics. -
Motion and Time Study the Goals of Motion Study
Motion and Time Study The Goals of Motion Study • Improvement • Planning / Scheduling (Cost) •Safety Know How Long to Complete Task for • Scheduling (Sequencing) • Efficiency (Best Way) • Safety (Easiest Way) How Does a Job Incumbent Spend a Day • Value Added vs. Non-Value Added The General Strategy of IE to Reduce and Control Cost • Are people productive ALL of the time ? • Which parts of job are really necessary ? • Can the job be done EASIER, SAFER and FASTER ? • Is there a sense of employee involvement? Some Techniques of Industrial Engineering •Measure – Time and Motion Study – Work Sampling • Control – Work Standards (Best Practices) – Accounting – Labor Reporting • Improve – Small group activities Time Study • Observation –Stop Watch – Computer / Interactive • Engineering Labor Standards (Bad Idea) • Job Order / Labor reporting data History • Frederick Taylor (1900’s) Studied motions of iron workers – attempted to “mechanize” motions to maximize efficiency – including proper rest, ergonomics, etc. • Frank and Lillian Gilbreth used motion picture to study worker motions – developed 17 motions called “therbligs” that describe all possible work. •GET G •PUT P • GET WEIGHT GW • PUT WEIGHT PW •REGRASP R • APPLY PRESSURE A • EYE ACTION E • FOOT ACTION F • STEP S • BEND & ARISE B • CRANK C Time Study (Stopwatch Measurement) 1. List work elements 2. Discuss with worker 3. Measure with stopwatch (running VS reset) 4. Repeat for n Observations 5. Compute mean and std dev of work station time 6. Be aware of allowances/foreign element, etc Work Sampling • Determined what is done over typical day • Random Reporting • Periodic Reporting Learning Curve • For repetitive work, worker gains skill, knowledge of product/process, etc over time • Thus we expect output to increase over time as more units are produced over time to complete task decreases as more units are produced Traditional Learning Curve Actual Curve Change, Design, Process, etc Learning Curve • Usually define learning as a percentage reduction in the time it takes to make a unit. -
Matematické Ćasopisy Vedené V Databázi SCOPUS
Matematické časopisy vedené v databázi SCOPUS (stav k 21. 1. 2009) Abhandlungen aus dem Mathematischen Seminar der Universitat Hamburg Abstract and Applied Analysis ACM Computing Surveys ACM Transactions on Algorithms ACM Transactions on Computational Logic ACM Transactions on Computer Systems ACM Transactions on Speech and Language Processing Acta Applicandae Mathematicae Acta Arithmetica Acta Mathematica Acta Mathematica Academiae Paedagogicae Nyiregyhaziensis Acta Mathematica Hungarica Acta Mathematica Scientia Acta Mathematica Sinica, English Series Acta Mathematica Universitatis Comenianae Acta Mathematicae Applicatae Sinica Acta Mathematicae Applicatae Sinica, English Series Acta Mechanica Sinica Acta Numerica Advanced Nonlinear Studies Advanced Studies in Contemporary Mathematics (Kyungshang) Advanced Studies in Theoretical Physics Advances in Applied Clifford Algebras Advances in Applied Mathematics Advances in Applied Probability Advances in Computational Mathematics Advances in Difference Equations Advances in Geometry Advances in Mathematics Advances in modelling and analysis. A, general mathematical and computer tools Advances in Nonlinear Variational Inequalities Advances in Theoretical and Mathematical Physics Aequationes Mathematicae Algebra and Logic Algebra Colloquium Algebra Universalis Algebras and Representation Theory Algorithms for Molecular Biology American Journal of Mathematical and Management Sciences American Journal of Mathematics American Mathematical Monthly Analysis in Theory and Applications Analysis Mathematica -
Are Information, Cognition and the Principle of Existence Intrinsically
Adv. Studies Theor. Phys., Vol. 7, 2013, no. 17, 797 - 818 HIKARI Ltd, www.m-hikari.com http://dx.doi.org/10.12988/astp.2013.3318 Are Information, Cognition and the Principle of Existence Intrinsically Structured in the Quantum Model of Reality? Elio Conte(1,2) and Orlando Todarello(2) (1)School of International Advanced Studies on Applied Theoretical and non Linear Methodologies of Physics, Bari, Italy (2)Department of Neurosciences and Sense Organs University of Bari “Aldo Moro”, Bari, Italy Copyright © 2013 Elio Conte and Orlando Todarello. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Abstract The thesis of this paper is that Information, Cognition and a Principle of Existence are intrinsically structured in the quantum model of reality. We reach such evidence by using the Clifford algebra. We analyze quantization in some traditional cases of quantum mechanics and, in particular in quantum harmonic oscillator, orbital angular momentum and hydrogen atom. Keywords: information, quantum cognition, principle of existence, quantum mechanics, quantization, Clifford algebra. Corresponding author: [email protected] Introduction The earliest versions of quantum mechanics were formulated in the first decade of the 20th century following about the same time the basic discoveries of physics as 798 Elio Conte and Orlando Todarello the atomic theory and the corpuscular theory of light that was basically updated by Einstein. Early quantum theory was significantly reformulated in the mid- 1920s by Werner Heisenberg, Max Born and Pascual Jordan, who created matrix mechanics, Louis de Broglie and Erwin Schrodinger who introduced wave mechanics, and Wolfgang Pauli and Satyendra Nath Bose who introduced the statistics of subatomic particles. -
A New Approach for Dynamic Stochastic Fractal Search with Fuzzy Logic for Parameter Adaptation
fractal and fractional Article A New Approach for Dynamic Stochastic Fractal Search with Fuzzy Logic for Parameter Adaptation Marylu L. Lagunes, Oscar Castillo * , Fevrier Valdez , Jose Soria and Patricia Melin Tijuana Institute of Technology, Calzada Tecnologico s/n, Fracc. Tomas Aquino, Tijuana 22379, Mexico; [email protected] (M.L.L.); [email protected] (F.V.); [email protected] (J.S.); [email protected] (P.M.) * Correspondence: [email protected] Abstract: Stochastic fractal search (SFS) is a novel method inspired by the process of stochastic growth in nature and the use of the fractal mathematical concept. Considering the chaotic stochastic diffusion property, an improved dynamic stochastic fractal search (DSFS) optimization algorithm is presented. The DSFS algorithm was tested with benchmark functions, such as the multimodal, hybrid, and composite functions, to evaluate the performance of the algorithm with dynamic parameter adaptation with type-1 and type-2 fuzzy inference models. The main contribution of the article is the utilization of fuzzy logic in the adaptation of the diffusion parameter in a dynamic fashion. This parameter is in charge of creating new fractal particles, and the diversity and iteration are the input information used in the fuzzy system to control the values of diffusion. Keywords: fractal search; fuzzy logic; parameter adaptation; CEC 2017 Citation: Lagunes, M.L.; Castillo, O.; Valdez, F.; Soria, J.; Melin, P. A New Approach for Dynamic Stochastic 1. Introduction Fractal Search with Fuzzy Logic for Metaheuristic algorithms are applied to optimization problems due to their charac- Parameter Adaptation. Fractal Fract. teristics that help in searching for the global optimum, while simple heuristics are mostly 2021, 5, 33. -
Introduction to Stochastic Processes - Lecture Notes (With 33 Illustrations)
Introduction to Stochastic Processes - Lecture Notes (with 33 illustrations) Gordan Žitković Department of Mathematics The University of Texas at Austin Contents 1 Probability review 4 1.1 Random variables . 4 1.2 Countable sets . 5 1.3 Discrete random variables . 5 1.4 Expectation . 7 1.5 Events and probability . 8 1.6 Dependence and independence . 9 1.7 Conditional probability . 10 1.8 Examples . 12 2 Mathematica in 15 min 15 2.1 Basic Syntax . 15 2.2 Numerical Approximation . 16 2.3 Expression Manipulation . 16 2.4 Lists and Functions . 17 2.5 Linear Algebra . 19 2.6 Predefined Constants . 20 2.7 Calculus . 20 2.8 Solving Equations . 22 2.9 Graphics . 22 2.10 Probability Distributions and Simulation . 23 2.11 Help Commands . 24 2.12 Common Mistakes . 25 3 Stochastic Processes 26 3.1 The canonical probability space . 27 3.2 Constructing the Random Walk . 28 3.3 Simulation . 29 3.3.1 Random number generation . 29 3.3.2 Simulation of Random Variables . 30 3.4 Monte Carlo Integration . 33 4 The Simple Random Walk 35 4.1 Construction . 35 4.2 The maximum . 36 1 CONTENTS 5 Generating functions 40 5.1 Definition and first properties . 40 5.2 Convolution and moments . 42 5.3 Random sums and Wald’s identity . 44 6 Random walks - advanced methods 48 6.1 Stopping times . 48 6.2 Wald’s identity II . 50 6.3 The distribution of the first hitting time T1 .......................... 52 6.3.1 A recursive formula . 52 6.3.2 Generating-function approach . -
Seven Principles of Quantum Mechanics
Seven Principles of Quantum Mechanics Igor V. Volovich Steklov Mathematical Institute Russian Academy of Sciences Gubkin St. 8, 117966, GSP-1, Moscow, Russia e-mail: [email protected] Abstract The list of basic axioms of quantum mechanics as it was formulated by von Neu- mann includes only the mathematical formalism of the Hilbert space and its statistical interpretation. We point out that such an approach is too general to be considered as the foundation of quantum mechanics. In particular in this approach any finite- dimensional Hilbert space describes a quantum system. Though such a treatment might be a convenient approximation it can not be considered as a fundamental de- scription of a quantum system and moreover it leads to some paradoxes like Bell’s theorem. I present a list from seven basic postulates of axiomatic quantum mechan- ics. In particular the list includes the axiom describing spatial properties of quantum system. These axioms do not admit a nontrivial realization in the finite-dimensional Hilbert space. One suggests that the axiomatic quantum mechanics is consistent with local realism. arXiv:quant-ph/0212126v1 22 Dec 2002 1 INTRODUCTION Most discussions of foundations and interpretations of quantum mechanics take place around the meaning of probability, measurements, reduction of the state and entanglement. The list of basic axioms of quantum mechanics as it was formulated by von Neumann [1] includes only general mathematical formalism of the Hilbert space and its statistical interpre- tation, see also [2]-[6]. From this point of view any mathematical proposition on properties of operators in the Hilbert space can be considered as a quantum mechanical result. -
1 Stochastic Processes and Their Classification
1 1 STOCHASTIC PROCESSES AND THEIR CLASSIFICATION 1.1 DEFINITION AND EXAMPLES Definition 1. Stochastic process or random process is a collection of random variables ordered by an index set. ☛ Example 1. Random variables X0;X1;X2;::: form a stochastic process ordered by the discrete index set f0; 1; 2;::: g: Notation: fXn : n = 0; 1; 2;::: g: ☛ Example 2. Stochastic process fYt : t ¸ 0g: with continuous index set ft : t ¸ 0g: The indices n and t are often referred to as "time", so that Xn is a descrete-time process and Yt is a continuous-time process. Convention: the index set of a stochastic process is always infinite. The range (possible values) of the random variables in a stochastic process is called the state space of the process. We consider both discrete-state and continuous-state processes. Further examples: ☛ Example 3. fXn : n = 0; 1; 2;::: g; where the state space of Xn is f0; 1; 2; 3; 4g representing which of four types of transactions a person submits to an on-line data- base service, and time n corresponds to the number of transactions submitted. ☛ Example 4. fXn : n = 0; 1; 2;::: g; where the state space of Xn is f1; 2g re- presenting whether an electronic component is acceptable or defective, and time n corresponds to the number of components produced. ☛ Example 5. fYt : t ¸ 0g; where the state space of Yt is f0; 1; 2;::: g representing the number of accidents that have occurred at an intersection, and time t corresponds to weeks. ☛ Example 6. fYt : t ¸ 0g; where the state space of Yt is f0; 1; 2; : : : ; sg representing the number of copies of a software product in inventory, and time t corresponds to days. -
Monte Carlo Sampling Methods
[1] Monte Carlo Sampling Methods Jasmina L. Vujic Nuclear Engineering Department University of California, Berkeley Email: [email protected] phone: (510) 643-8085 fax: (510) 643-9685 UCBNE, J. Vujic [2] Monte Carlo Monte Carlo is a computational technique based on constructing a random process for a problem and carrying out a NUMERICAL EXPERIMENT by N-fold sampling from a random sequence of numbers with a PRESCRIBED probability distribution. x - random variable N 1 xˆ = ---- x N∑ i i = 1 Xˆ - the estimated or sample mean of x x - the expectation or true mean value of x If a problem can be given a PROBABILISTIC interpretation, then it can be modeled using RANDOM NUMBERS. UCBNE, J. Vujic [3] Monte Carlo • Monte Carlo techniques came from the complicated diffusion problems that were encountered in the early work on atomic energy. • 1772 Compte de Bufon - earliest documented use of random sampling to solve a mathematical problem. • 1786 Laplace suggested that π could be evaluated by random sampling. • Lord Kelvin used random sampling to aid in evaluating time integrals associated with the kinetic theory of gases. • Enrico Fermi was among the first to apply random sampling methods to study neutron moderation in Rome. • 1947 Fermi, John von Neuman, Stan Frankel, Nicholas Metropolis, Stan Ulam and others developed computer-oriented Monte Carlo methods at Los Alamos to trace neutrons through fissionable materials UCBNE, J. Vujic Monte Carlo [4] Monte Carlo methods can be used to solve: a) The problems that are stochastic (probabilistic) by nature: - particle transport, - telephone and other communication systems, - population studies based on the statistics of survival and reproduction. -
1 the Principle of Wave–Particle Duality: an Overview
3 1 The Principle of Wave–Particle Duality: An Overview 1.1 Introduction In the year 1900, physics entered a period of deep crisis as a number of peculiar phenomena, for which no classical explanation was possible, began to appear one after the other, starting with the famous problem of blackbody radiation. By 1923, when the “dust had settled,” it became apparent that these peculiarities had a common explanation. They revealed a novel fundamental principle of nature that wascompletelyatoddswiththeframeworkofclassicalphysics:thecelebrated principle of wave–particle duality, which can be phrased as follows. The principle of wave–particle duality: All physical entities have a dual character; they are waves and particles at the same time. Everything we used to regard as being exclusively a wave has, at the same time, a corpuscular character, while everything we thought of as strictly a particle behaves also as a wave. The relations between these two classically irreconcilable points of view—particle versus wave—are , h, E = hf p = (1.1) or, equivalently, E h f = ,= . (1.2) h p In expressions (1.1) we start off with what we traditionally considered to be solely a wave—an electromagnetic (EM) wave, for example—and we associate its wave characteristics f and (frequency and wavelength) with the corpuscular charac- teristics E and p (energy and momentum) of the corresponding particle. Conversely, in expressions (1.2), we begin with what we once regarded as purely a particle—say, an electron—and we associate its corpuscular characteristics E and p with the wave characteristics f and of the corresponding wave. -
Abbreviations of Names of Serials
Abbreviations of Names of Serials This list gives the form of references used in Mathematical Reviews (MR). ∗ not previously listed E available electronically The abbreviation is followed by the complete title, the place of publication § journal reviewed cover-to-cover V videocassette series and other pertinent information. † monographic series ¶ bibliographic journal E 4OR 4OR. Quarterly Journal of the Belgian, French and Italian Operations Research ISSN 1211-4774. Societies. Springer, Berlin. ISSN 1619-4500. §Acta Math. Sci. Ser. A Chin. Ed. Acta Mathematica Scientia. Series A. Shuxue Wuli † 19o Col´oq. Bras. Mat. 19o Col´oquio Brasileiro de Matem´atica. [19th Brazilian Xuebao. Chinese Edition. Kexue Chubanshe (Science Press), Beijing. (See also Acta Mathematics Colloquium] Inst. Mat. Pura Apl. (IMPA), Rio de Janeiro. Math.Sci.Ser.BEngl.Ed.) ISSN 1003-3998. † 24o Col´oq. Bras. Mat. 24o Col´oquio Brasileiro de Matem´atica. [24th Brazilian §ActaMath.Sci.Ser.BEngl.Ed. Acta Mathematica Scientia. Series B. English Edition. Mathematics Colloquium] Inst. Mat. Pura Apl. (IMPA), Rio de Janeiro. Science Press, Beijing. (See also Acta Math. Sci. Ser. A Chin. Ed.) ISSN 0252- † 25o Col´oq. Bras. Mat. 25o Col´oquio Brasileiro de Matem´atica. [25th Brazilian 9602. Mathematics Colloquium] Inst. Nac. Mat. Pura Apl. (IMPA), Rio de Janeiro. § E Acta Math. Sin. (Engl. Ser.) Acta Mathematica Sinica (English Series). Springer, † Aastaraam. Eesti Mat. Selts Aastaraamat. Eesti Matemaatika Selts. [Annual. Estonian Heidelberg. ISSN 1439-8516. Mathematical Society] Eesti Mat. Selts, Tartu. ISSN 1406-4316. § E Acta Math. Sinica (Chin. Ser.) Acta Mathematica Sinica. Chinese Series. Chinese Math. Abh. Braunschw. Wiss. Ges. Abhandlungen der Braunschweigischen Wissenschaftlichen Soc., Acta Math.