The Dynamics of Human Society Evolution: an Energetics Approach
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Electro Magnetic Fields Lecture Notes B.Tech
ELECTRO MAGNETIC FIELDS LECTURE NOTES B.TECH (II YEAR – I SEM) (2019-20) Prepared by: M.KUMARA SWAMY., Asst.Prof Department of Electrical & Electronics Engineering MALLA REDDY COLLEGE OF ENGINEERING & TECHNOLOGY (Autonomous Institution – UGC, Govt. of India) Recognized under 2(f) and 12 (B) of UGC ACT 1956 (Affiliated to JNTUH, Hyderabad, Approved by AICTE - Accredited by NBA & NAAC – ‘A’ Grade - ISO 9001:2015 Certified) Maisammaguda, Dhulapally (Post Via. Kompally), Secunderabad – 500100, Telangana State, India ELECTRO MAGNETIC FIELDS Objectives: • To introduce the concepts of electric field, magnetic field. • Applications of electric and magnetic fields in the development of the theory for power transmission lines and electrical machines. UNIT – I Electrostatics: Electrostatic Fields – Coulomb’s Law – Electric Field Intensity (EFI) – EFI due to a line and a surface charge – Work done in moving a point charge in an electrostatic field – Electric Potential – Properties of potential function – Potential gradient – Gauss’s law – Application of Gauss’s Law – Maxwell’s first law, div ( D )=ρv – Laplace’s and Poison’s equations . Electric dipole – Dipole moment – potential and EFI due to an electric dipole. UNIT – II Dielectrics & Capacitance: Behavior of conductors in an electric field – Conductors and Insulators – Electric field inside a dielectric material – polarization – Dielectric – Conductor and Dielectric – Dielectric boundary conditions – Capacitance – Capacitance of parallel plates – spherical co‐axial capacitors. Current density – conduction and Convection current densities – Ohm’s law in point form – Equation of continuity UNIT – III Magneto Statics: Static magnetic fields – Biot‐Savart’s law – Magnetic field intensity (MFI) – MFI due to a straight current carrying filament – MFI due to circular, square and solenoid current Carrying wire – Relation between magnetic flux and magnetic flux density – Maxwell’s second Equation, div(B)=0, Ampere’s Law & Applications: Ampere’s circuital law and its applications viz. -
From Big Data to Econophysics and Its Use to Explain Complex Phenomena
Journal of Risk and Financial Management Review From Big Data to Econophysics and Its Use to Explain Complex Phenomena Paulo Ferreira 1,2,3,* , Éder J.A.L. Pereira 4,5 and Hernane B.B. Pereira 4,6 1 VALORIZA—Research Center for Endogenous Resource Valorization, 7300-555 Portalegre, Portugal 2 Department of Economic Sciences and Organizations, Instituto Politécnico de Portalegre, 7300-555 Portalegre, Portugal 3 Centro de Estudos e Formação Avançada em Gestão e Economia, Instituto de Investigação e Formação Avançada, Universidade de Évora, Largo dos Colegiais 2, 7000 Évora, Portugal 4 Programa de Modelagem Computacional, SENAI Cimatec, Av. Orlando Gomes 1845, 41 650-010 Salvador, BA, Brazil; [email protected] (É.J.A.L.P.); [email protected] (H.B.B.P.) 5 Instituto Federal do Maranhão, 65075-441 São Luís-MA, Brazil 6 Universidade do Estado da Bahia, 41 150-000 Salvador, BA, Brazil * Correspondence: [email protected] Received: 5 June 2020; Accepted: 10 July 2020; Published: 13 July 2020 Abstract: Big data has become a very frequent research topic, due to the increase in data availability. In this introductory paper, we make the linkage between the use of big data and Econophysics, a research field which uses a large amount of data and deals with complex systems. Different approaches such as power laws and complex networks are discussed, as possible frameworks to analyze complex phenomena that could be studied using Econophysics and resorting to big data. Keywords: big data; complexity; networks; stock markets; power laws 1. Introduction Big data has become a very popular expression in recent years, related to the advance of technology which allows, on the one hand, the recovery of a great amount of data, and on the other hand, the analysis of that data, benefiting from the increasing computational capacity of devices. -
The Physical Modelling of Society: a Historical Perspective
Physica A 314 (2002) 1–14 www.elsevier.com/locate/physa The physical modelling ofsociety: a historical perspective Philip Ball Nature, 4-6 Crinan St, London N1 9XW, UK Abstract By seeking to uncover the rules ofcollective human activities, today’s statistical physicists are aiming to return to their roots. Statistics originated in the study ofsocial numbers in the 17th century, and the discovery ofstatistical invariants in data on births and deaths, crimes and marriages led some scientists and philosophers to conclude that society was governed by immutable “natural” laws beyond the reach ofgovernments, ofwhich the Gaussian “error curve” became regarded as the leitmotif. While statistics .ourished as a mathematical tool of all the sciences in the 19th century, it provoked passionate responses from philosophers, novelists and social commentators. Social statistics also guided Maxwell and Boltzmann towards the utilization ofprobability distributions in the development ofthe kinetic theory ofgases, the foundationof statistical mechanics. c 2002 Elsevier Science B.V. All rights reserved. Keywords: Statistics; History ofphysics; Statistical mechanics; Social science; Gaussian 1. Introduction The introduction ofprobability into the fundamentalnature ofthe quantum world by Bohr, Born and Schr8odinger in the 1920s famously scandalized some scholars ofscience’s philosophical foundations.But arguments about chance, probability and determinism were no less heated in the mid-19th century, when statistical ideas entered classical physics. James Clerk Maxwell (1878) let probabilistic physics bring him to the verge of mysticism: “it is the peculiar function of physical science to lead us to the conÿnes of the incomprehensible, and to bid us behold and receive it in faith, till such time as the E-mail address: [email protected] (P. -
John Von Neumann Between Physics and Economics: a Methodological Note
Review of Economic Analysis 5 (2013) 177–189 1973-3909/2013177 John von Neumann between Physics and Economics: A methodological note LUCA LAMBERTINI∗y University of Bologna A methodological discussion is proposed, aiming at illustrating an analogy between game theory in particular (and mathematical economics in general) and quantum mechanics. This analogy relies on the equivalence of the two fundamental operators employed in the two fields, namely, the expected value in economics and the density matrix in quantum physics. I conjecture that this coincidence can be traced back to the contributions of von Neumann in both disciplines. Keywords: expected value, density matrix, uncertainty, quantum games JEL Classifications: B25, B41, C70 1 Introduction Over the last twenty years, a growing amount of attention has been devoted to the history of game theory. Among other reasons, this interest can largely be justified on the basis of the Nobel prize to John Nash, John Harsanyi and Reinhard Selten in 1994, to Robert Aumann and Thomas Schelling in 2005 and to Leonid Hurwicz, Eric Maskin and Roger Myerson in 2007 (for mechanism design).1 However, the literature dealing with the history of game theory mainly adopts an inner per- spective, i.e., an angle that allows us to reconstruct the developments of this sub-discipline under the general headings of economics. My aim is different, to the extent that I intend to pro- pose an interpretation of the formal relationships between game theory (and economics) and the hard sciences. Strictly speaking, this view is not new, as the idea that von Neumann’s interest in mathematics, logic and quantum mechanics is critical to our understanding of the genesis of ∗I would like to thank Jurek Konieczny (Editor), an anonymous referee, Corrado Benassi, Ennio Cavaz- zuti, George Leitmann, Massimo Marinacci, Stephen Martin, Manuela Mosca and Arsen Palestini for insightful comments and discussion. -
The Social Physics Collective Matjaž Perc 1,2,3 Editorial More Than Two Centuries Ago Henri De Saint-Simon Envisaged Physical Laws to Describe Human Societies
www.nature.com/scientificreports OPEN The social physics collective Matjaž Perc 1,2,3 EDITORIAL More than two centuries ago Henri de Saint-Simon envisaged physical laws to describe human societies. Driven by advances in statistical physics, network science, data analysis, and information technology, this vision is becoming a reality. Many of the grandest challenges of our time are of a societal nature, and methods of physics are increasingly playing a central role in improving our understanding of these challenges, and helping us to fnd innovative solutions. The Social physics Collection at Scientifc Reports is dedicated to this research. lthough we are unique and hardly predictable as individuals, research has shown that in a collective we ofen behave no diferently than particles in matter1. Indeed, many aspects of collective behavior in human societies have turned out to be remarkably predictable, and this fact has paved the way for methods of Aphysics to be applied to many contemporary societal challenges. Examples include trafc2, crime3, epidemic pro- cesses4, vaccination5, cooperation6, climate inaction7, as well as antibiotic overuse8 and moral behavior9, to name just some examples. In fact, possible synergies between physical and social sciences have been foating around in the scientifc literature for centuries. Over two centuries ago, the French political and economic theorist Henri de Saint-Simon was amongst the frst to propose that society could be described by laws similar to those in physics10. However, similar ideas have been around already in the 17th century, when Tomas Hobbes based his theory of the state on the laws of motion, in particular on the principle of inertia, which was then deduced by his contemporary Galileo Galilei11. -
An Introduction to Effective Field Theory
An Introduction to Effective Field Theory Thinking Effectively About Hierarchies of Scale c C.P. BURGESS i Preface It is an everyday fact of life that Nature comes to us with a variety of scales: from quarks, nuclei and atoms through planets, stars and galaxies up to the overall Universal large-scale structure. Science progresses because we can understand each of these on its own terms, and need not understand all scales at once. This is possible because of a basic fact of Nature: most of the details of small distance physics are irrelevant for the description of longer-distance phenomena. Our description of Nature’s laws use quantum field theories, which share this property that short distances mostly decouple from larger ones. E↵ective Field Theories (EFTs) are the tools developed over the years to show why it does. These tools have immense practical value: knowing which scales are important and why the rest decouple allows hierarchies of scale to be used to simplify the description of many systems. This book provides an introduction to these tools, and to emphasize their great generality illustrates them using applications from many parts of physics: relativistic and nonrelativistic; few- body and many-body. The book is broadly appropriate for an introductory graduate course, though some topics could be done in an upper-level course for advanced undergraduates. It should interest physicists interested in learning these techniques for practical purposes as well as those who enjoy the beauty of the unified picture of physics that emerges. It is to emphasize this unity that a broad selection of applications is examined, although this also means no one topic is explored in as much depth as it deserves. -
Social Thermodynamics, Social Hydrodynamics and Some Mathematical Applications in Social Sciences
International Journal of Modern Social Sciences, 2013, 2(2): 94-108 International Journal of Modern Social Sciences ISSN: 2169-9917 Journal homepage: www.ModernScientificPress.com/Journals/IJMSS.aspx Florida, USA Article Social Thermodynamics, Social Hydrodynamics and Some Mathematical Applications in Social Sciences Yi-Fang Chang Department of Physics, Yunnan University, Kunming, 650091, China Email: [email protected] Article history: Received 16 May 2013, Received in revised form 17 July 2013, Accepted 18 July 2013, Published 19 July 2013. Abstract: Based on the sameness for men or any elements in the social systems, we search the social thermodynamics, and possible entropy decrease in social sciences. Next, using the similar formulas of the preference relation and the utility function, we propose the confidence relations and the corresponding influence functions that represent various interacting strengths of different families, cliques and systems of organization. This produces a multiply connected topological economics. Further, we discuss the binary periods of the political economy by the complex function and the elliptic functions. Using the nonlinear equations of hydrodynamics we may research the formulations of the binary and multiple centers in various social systems. Finally, we propose the developed directions of society and a unification of simplicity and complexity from a new tree-field representation. The application of mathematics and physics will be an important direction of modern social science at 21 century. Keywords: social science, mathematics, thermodynamics, entropy, nonlinearity, hydrodynamics, topology, complex function 1. Introduction It is long time ago that mathematics is applied in various social sciences. This may trace to its source: Chinese Yi (I Ching, or The Book of Change) and Pythagoras. -
Gravitational Potential Energy
Briefly review the concepts of potential energy and work. •Potential Energy = U = stored work in a system •Work = energy put into or taken out of system by forces •Work done by a (constant) force F : v v v v F W = F ⋅∆r =| F || ∆r | cosθ θ ∆r Gravitational Potential Energy Lift a book by hand (Fext) at constant velocity. F = mg final ext Wext = Fext h = mgh h Wgrav = -mgh Fext Define ∆U = +Wext = -Wgrav= mgh initial Note that get to define U=0, mg typically at the ground. U is for potential energy, do not confuse with “internal energy” in Thermo. Gravitational Potential Energy (cont) For conservative forces Mechanical Energy is conserved. EMech = EKin +U Gravity is a conservative force. Coulomb force is also a conservative force. Friction is not a conservative force. If only conservative forces are acting, then ∆EMech=0. ∆EKin + ∆U = 0 Electric Potential Energy Charge in a constant field ∆Uelec = change in U when moving +q from initial to final position. ∆U = U f −Ui = +Wext = −W field FExt=-qE + Final position v v ∆U = −W = −F ⋅∆r fieldv field FField=qE v ∆r → ∆U = −qE ⋅∆r E + Initial position -------------- General case What if the E-field is not constant? v v ∆U = −qE ⋅∆r f v v Integral over the path from initial (i) position to final (f) ∆U = −q∫ E ⋅dr position. i Electric Potential Energy Since Coulomb forces are conservative, it means that the change in potential energy is path independent. f v v ∆U = −q∫ E ⋅dr i Electric Potential Energy Positive charge in a constant field Electric Potential Energy Negative charge in a constant field Observations • If we need to exert a force to “push” or “pull” against the field to move the particle to the new position, then U increases. -
PET4I101 ELECTROMAGNETICS ENGINEERING (4Th Sem ECE- ETC) Module-I (10 Hours)
PET4I101 ELECTROMAGNETICS ENGINEERING (4th Sem ECE- ETC) Module-I (10 Hours) 1. Cartesian, Cylindrical and Spherical Coordinate Systems; Scalar and Vector Fields; Line, Surface and Volume Integrals. 2. Coulomb’s Law; The Electric Field Intensity; Electric Flux Density and Electric Flux; Gauss’s Law; Divergence of Electric Flux Density: Point Form of Gauss’s Law; The Divergence Theorem; The Potential Gradient; Energy Density; Poisson’s and Laplace’s Equations. Module-II3. Ampere’s (8 Magnetic Hours) Circuital Law and its Applications; Curl of H; Stokes’ Theorem; Divergence of B; Energy Stored in the Magnetic Field. 1. The Continuity Equation; Faraday’s Law of Electromagnetic Induction; Conduction Current: Point Form of Ohm’s Law, Convection Current; The Displacement Current; 2. Maxwell’s Equations in Differential Form; Maxwell’s Equations in Integral Form; Maxwell’s Equations for Sinusoidal Variation of Fields with Time; Boundary Module-IIIConditions; (8The Hours) Retarded Potential; The Poynting Vector; Poynting Vector for Fields Varying Sinusoid ally with Time 1. Solution of the One-Dimensional Wave Equation; Solution of Wave Equation for Sinusoid ally Time-Varying Fields; Polarization of Uniform Plane Waves; Fields on the Surface of a Perfect Conductor; Reflection of a Uniform Plane Wave Incident Normally on a Perfect Conductor and at the Interface of Two Dielectric Regions; The Standing Wave Ratio; Oblique Incidence of a Plane Wave at the Boundary between Module-IVTwo Regions; (8 ObliqueHours) Incidence of a Plane Wave on a Flat Perfect Conductor and at the Boundary between Two Perfect Dielectric Regions; 1. Types of Two-Conductor Transmission Lines; Circuit Model of a Uniform Two- Conductor Transmission Line; The Uniform Ideal Transmission Line; Wave AReflectiondditional at Module a Discontinuity (Terminal in an Examination-Internal) Ideal Transmission Line; (8 MatchingHours) of Transmission Lines with Load. -
Occupational Safety and Health Admin., Labor § 1910.269
Occupational Safety and Health Admin., Labor § 1910.269 APPENDIX C TO § 1910.269ÐPROTECTION energized grounded object) is called the FROM STEP AND TOUCH POTENTIALS ground potential gradient. Voltage drops as- sociated with this dissipation of voltage are I. Introduction called ground potentials. Figure 1 is a typ- ical voltage-gradient distribution curve (as- When a ground fault occurs on a power suming a uniform soil texture). This graph line, voltage is impressed on the ``grounded'' shows that voltage decreases rapidly with in- object faulting the line. The voltage to creasing distance from the grounding elec- which this object rises depends largely on trode. the voltage on the line, on the impedance of the faulted conductor, and on the impedance B. Step and Touch Potentials to ``true,'' or ``absolute,'' ground represented by the object. If the object causing the fault ``Step potential'' is the voltage between represents a relatively large impedance, the the feet of a person standing near an ener- voltage impressed on it is essentially the gized grounded object. It is equal to the dif- phase-to-ground system voltage. However, ference in voltage, given by the voltage dis- even faults to well grounded transmission tribution curve, between two points at dif- towers or substation structures can result in ferent distances from the ``electrode''. A per- hazardous voltages.1 The degree of the haz- son could be at risk of injury during a fault ard depends upon the magnitude of the fault simply by standing near the grounding point. current and the time of exposure. ``Touch potential'' is the voltage between the energized object and the feet of a person II. -
Social Synergetics, Social Physics and Research of Fundamental
Social Synergetics, Social Physics and Research of Fundamental Laws in Social Complex Systems Yi-Fang Chang Department of Physics, Yunnan University, Kunming, 650091, China (e-mail: [email protected]) Abstract: We proposed social synergetics and the four basic theorems, in which theorem of perfect correlation on humanity is researched mathematically. Generally, we discuss the four variables and the eight aspects in social physics. We search social thermodynamics and the five fundamental laws of social complex systems. Then we research different relations among social elements and applications of the nonlinear sociology, for example, for the economic systems. Finally, we discuss the evolutional equation of system and the educational equation. Key words: social physics, synergetics, thermodynamics, equations, nonlinear sociology, relation PACS: 89.65.-s; 05.70.-a; 05.45.-a; 02.60.Lj 1.Social synergetics H.Haken proposed synergetics [1-3], which as a bridge between the natural and social sciences and a strategy to cope with various complex systems are very useful. Social synergetics is an application of synergetics [4]. Both basic mathematics and equations are the same [4]. The mathematical base in synergetics is very universal probability, information and some equations, for example [1]: (1). The master equation with random movement model is: dP(m,t) W (m,m 1)P(m 1,t) W (m,m 1)P(m 1,t) dt (1) [W (m 1,m) W (m 1,m)]P(m,t). For the Markov process, Eq.(1) derives the Chapman-Kolmogorov equation Pt 3,t1 (m3 ,m1 ) Pt 3,t 2 (m3 ,m2 )Pt 3,t1 (m2 ,m1 ) . -
Where Does Econophysics Fit in the Complexity Revolution? Dave Colander (Middlebury College)
Where does Econophysics fit in the Complexity Revolution? Dave Colander (Middlebury College) Early Draft Paper Prepared for the 2018 ASSA Meetings Philadelphia, PA. Jan 5th-7th Abstract A revolution is occurring in economics that is changing its scope and method. I call it the complexity revolution. The question I explore in this paper is: Where does econophysics fit in that revolution? I argue that the changing methods generally associated with the term econophysics are occurring because of advances in analytic and computational technology, and are not uniquely attributable to integrating physics and economics. Thus, using the term “econophysics” is likely to mislead people as to the nature of the complexity revolution. That complexity revolution involves an exploration of envisioning the economy as a complex evolving system driven by often unintended consequences of actions by purposeful agents. It is a vision that is more related to biology than to physics, and, at this stage of its development, is better thought of as an engineering revolution than a scientific revolution. Where does Econophysics fit in the Complexity Revolution? Dave Colander (Middlebury College) A revolution is occurring in economics. I call it the complexity revolution. Almost twenty years ago (Colander 2000) I predicted that in 50 to 100 years when historians of economics look back on the millennium, they would classify it as the end of the neoclassical era in economics and the beginning of the complexity era of economics. I stand by that prediction. The question I address in this paper is: Where does econophysics fit in that revolution?1 Before I turn to that question, let briefly summarize what I mean by the complexity revolution in economics.2 It is an expansion of the scope of economics to consider issues, such as complex dynamics, and semi-endogenous tastes and norms, that previously were assumed fixed.