Physics Without Determinism: Alternative Interpretations of Classical Physics
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An Introduction to Quantum Field Theory
AN INTRODUCTION TO QUANTUM FIELD THEORY By Dr M Dasgupta University of Manchester Lecture presented at the School for Experimental High Energy Physics Students Somerville College, Oxford, September 2009 - 1 - - 2 - Contents 0 Prologue....................................................................................................... 5 1 Introduction ................................................................................................ 6 1.1 Lagrangian formalism in classical mechanics......................................... 6 1.2 Quantum mechanics................................................................................... 8 1.3 The Schrödinger picture........................................................................... 10 1.4 The Heisenberg picture............................................................................ 11 1.5 The quantum mechanical harmonic oscillator ..................................... 12 Problems .............................................................................................................. 13 2 Classical Field Theory............................................................................. 14 2.1 From N-point mechanics to field theory ............................................... 14 2.2 Relativistic field theory ............................................................................ 15 2.3 Action for a scalar field ............................................................................ 15 2.4 Plane wave solution to the Klein-Gordon equation ........................... -
On the Time Evolution of Wavefunctions in Quantum Mechanics C
On the Time Evolution of Wavefunctions in Quantum Mechanics C. David Sherrill School of Chemistry and Biochemistry Georgia Institute of Technology October 1999 1 Introduction The purpose of these notes is to help you appreciate the connection between eigenfunctions of the Hamiltonian and classical normal modes, and to help you understand the time propagator. 2 The Classical Coupled Mass Problem Here we will review the results of the coupled mass problem, Example 1.8.6 from Shankar. This is an example from classical physics which nevertheless demonstrates some of the essential features of coupled degrees of freedom in quantum mechanical problems and a general approach for removing such coupling. The problem involves two objects of equal mass, connected to two different walls andalsotoeachotherbysprings.UsingF = ma and Hooke’s Law( F = −kx) for the springs, and denoting the displacements of the two masses as x1 and x2, it is straightforward to deduce equations for the acceleration (second derivative in time,x ¨1 andx ¨2): k k x −2 x x ¨1 = m 1 + m 2 (1) k k x x − 2 x . ¨2 = m 1 m 2 (2) The goal of the problem is to solve these second-order differential equations to obtain the functions x1(t)andx2(t) describing the motion of the two masses at any given time. Since they are second-order differential equations, we need two initial conditions for each variable, i.e., x1(0), x˙ 1(0),x2(0), andx ˙ 2(0). Our two differential equations are clearly coupled,since¨x1 depends not only on x1, but also on x2 (and likewise forx ¨2). -
An S-Matrix for Massless Particles Arxiv:1911.06821V2 [Hep-Th]
An S-Matrix for Massless Particles Holmfridur Hannesdottir and Matthew D. Schwartz Department of Physics, Harvard University, Cambridge, MA 02138, USA Abstract The traditional S-matrix does not exist for theories with massless particles, such as quantum electrodynamics. The difficulty in isolating asymptotic states manifests itself as infrared divergences at each order in perturbation theory. Building on insights from the literature on coherent states and factorization, we construct an S-matrix that is free of singularities order-by-order in perturbation theory. Factorization guarantees that the asymptotic evolution in gauge theories is universal, i.e. independent of the hard process. Although the hard S-matrix element is computed between well-defined few particle Fock states, dressed/coherent states can be seen to form as intermediate states in the calculation of hard S-matrix elements. We present a framework for the perturbative calculation of hard S-matrix elements combining Lorentz-covariant Feyn- man rules for the dressed-state scattering with time-ordered perturbation theory for the asymptotic evolution. With hard cutoffs on the asymptotic Hamiltonian, the cancella- tion of divergences can be seen explicitly. In dimensional regularization, where the hard cutoffs are replaced by a renormalization scale, the contribution from the asymptotic evolution produces scaleless integrals that vanish. A number of illustrative examples are given in QED, QCD, and N = 4 super Yang-Mills theory. arXiv:1911.06821v2 [hep-th] 24 Aug 2020 Contents 1 Introduction1 2 The hard S-matrix6 2.1 SH and dressed states . .9 2.2 Computing observables using SH ........................... 11 2.3 Soft Wilson lines . 14 3 Computing the hard S-matrix 17 3.1 Asymptotic region Feynman rules . -
Advanced Quantum Mechanics
Advanced Quantum Mechanics Rajdeep Sensarma [email protected] Quantum Dynamics Lecture #9 Schrodinger and Heisenberg Picture Time Independent Hamiltonian Schrodinger Picture: A time evolving state in the Hilbert space with time independent operators iHtˆ i@t (t) = Hˆ (t) (t) = e− (0) | i | i | i | i i✏nt Eigenbasis of Hamiltonian: Hˆ n = ✏ n (t) = cn(t) n c (t)=c (0)e− n | i | i n n | i | i n X iHtˆ iHtˆ Operators and Expectation: A(t)= (t) Aˆ (t) = (0) e Aeˆ − (0) = (0) Aˆ(t) (0) h | | i h | | i h | | i Heisenberg Picture: A static initial state and time dependent operators iHtˆ iHtˆ Aˆ(t)=e Aeˆ − Schrodinger Picture Heisenberg Picture (0) (t) (0) (0) | i!| i | i!| i Equivalent description iHtˆ iHtˆ Aˆ Aˆ Aˆ Aˆ(t)=e Aeˆ − ! ! of a quantum system i@ (t) = Hˆ (t) i@ Aˆ(t)=[Aˆ(t), Hˆ ] t| i | i t Time Evolution and Propagator iHtˆ (t) = e− (0) Time Evolution Operator | i | i (x, t)= x (t) = x Uˆ(t) (0) = dx0 x Uˆ(t) x0 x0 (0) h | i h | | i h | | ih | i Z Propagator: Example : Free Particle The propagator satisfies and hence is often called the Green’s function Retarded and Advanced Propagator The following propagators are useful in different contexts Retarded or Causal Propagator: This propagates states forward in time for t > t’ Advanced or Anti-Causal Propagator: This propagates states backward in time for t < t’ Both the retarded and the advanced propagator satisfies the same diff. eqn., but with different boundary conditions Propagators in Frequency Space Energy Eigenbasis |n> The integral is ill defined due to oscillatory nature -
The Liouville Equation in Atmospheric Predictability
The Liouville Equation in Atmospheric Predictability Martin Ehrendorfer Institut fur¨ Meteorologie und Geophysik, Universitat¨ Innsbruck Innrain 52, A–6020 Innsbruck, Austria [email protected] 1 Introduction and Motivation It is widely recognized that weather forecasts made with dynamical models of the atmosphere are in- herently uncertain. Such uncertainty of forecasts produced with numerical weather prediction (NWP) models arises primarily from two sources: namely, from imperfect knowledge of the initial model condi- tions and from imperfections in the model formulation itself. The recognition of the potential importance of accurate initial model conditions and an accurate model formulation dates back to times even prior to operational NWP (Bjerknes 1904; Thompson 1957). In the context of NWP, the importance of these error sources in degrading the quality of forecasts was demonstrated to arise because errors introduced in atmospheric models, are, in general, growing (Lorenz 1982; Lorenz 1963; Lorenz 1993), which at the same time implies that the predictability of the atmosphere is subject to limitations (see, Errico et al. 2002). An example of the amplification of small errors in the initial conditions, or, equivalently, the di- vergence of initially nearby trajectories is given in Fig. 1, for the system discussed by Lorenz (1984). The uncertainty introduced into forecasts through uncertain initial model conditions, and uncertainties in model formulations, has been the subject of numerous studies carried out in parallel to the continuous development of NWP models (e.g., Leith 1974; Epstein 1969; Palmer 2000). In addition to studying the intrinsic predictability of the atmosphere (e.g., Lorenz 1969a; Lorenz 1969b; Thompson 1985a; Thompson 1985b), efforts have been directed at the quantification or predic- tion of forecast uncertainty that arises due to the sources of uncertainty mentioned above (see the review papers by Ehrendorfer 1997 and Palmer 2000, and Ehrendorfer 1999). -
World, Senses, Human Spirit: Extrapolating the Direction from the Past Through the Present and Into the Future
International Tinnitus Journal, Vol.ll, No.2, 103-105 (2005) EDITORIAL World, Senses, Human Spirit: Extrapolating the Direction from the Past Through the Present and Into the Future or human life, time is a specific monodirectional The Roman philosopher Lucius Aenaeus Seneca F dimension forcing us into serial development (4 Be - AD 65) then defined the phrase nihil in intel and behavior. We are living in the now, but we [ectu, quod non erat ante in sensu (from Naturales know that we stem from yesterday and that we are fac Quaestiones; "nothing can enter into the intellect if it ing the future: our tomorrow. With respect to bodily ex does not first pass through the gates of the senses"). In istence, every human seemingly has only one life. The this, Seneca coined the essentials of humans' communi human life can be regarded as constructing a wheel : We cation with the world and fellow men within the world. can imagine that year by year we fit a new spoke into We can encode from our surrounding things, facts , pic that circular element, a wheel that we call life and that tures, smells, odors, and sounds only after they have rolls us in only one direction, the future. Through de been perceived by our senses. veloping the species for many generations of humans, This really was an important philosophical step in many of these virtual wheels have been linked serially, the description of how human spirit works. All our un one behind the other. On the basis of culture and civili derstanding within our "now" needs information that zation, many humans have formed swarms of such arrives through the senses. -
PHI 110 Lecture 2 1 Welcome to Our Second Lecture on Personhood and Identity
PHI 110 Lecture 2 1 Welcome to our second lecture on personhood and identity. We’re going to begin today what will be two lectures on Rene Descartes’ thoughts on this subject. The position that is attributed to him is known as mind/body dualism. Sometimes it’s simply called the dualism for short. We need to be careful, however, because the word dualism covers a number of different philosophical positions, not always dualisms of mind and body. In other words, there are other forms of dualism that historically have been expressed. And so I will refer to his position as mind/body dualism or as Cartesian dualism as it’s sometimes also called. I said last time that Descartes is not going to talk primarily about persons. He’s going to talk about minds as opposed to bodies. But I think that as we start getting into his view, you will see where his notion of personhood arises. Clearly, Descartes is going to identify the person, the self, with the mind as opposed to with the body. This is something that I hoped you picked up in your reading and certainly that you will pick up once you read the material again after the lecture. Since I’ve already introduced Descartes’ position, let’s define it and then I’ll say a few things about Descartes himself to give you a little bit of a sense of the man and of his times. The position mind/body that’s known as mind/body dualism is defined as follows: It’s the view that the body is a physical substance — a machine, if you will — while the mind is a non-physical thinking entity which inhabits the body and is responsible for its voluntary movements. -
Chapter 6. Time Evolution in Quantum Mechanics
6. Time Evolution in Quantum Mechanics 6.1 Time-dependent Schrodinger¨ equation 6.1.1 Solutions to the Schr¨odinger equation 6.1.2 Unitary Evolution 6.2 Evolution of wave-packets 6.3 Evolution of operators and expectation values 6.3.1 Heisenberg Equation 6.3.2 Ehrenfest’s theorem 6.4 Fermi’s Golden Rule Until now we used quantum mechanics to predict properties of atoms and nuclei. Since we were interested mostly in the equilibrium states of nuclei and in their energies, we only needed to look at a time-independent description of quantum-mechanical systems. To describe dynamical processes, such as radiation decays, scattering and nuclear reactions, we need to study how quantum mechanical systems evolve in time. 6.1 Time-dependent Schro¨dinger equation When we first introduced quantum mechanics, we saw that the fourth postulate of QM states that: The evolution of a closed system is unitary (reversible). The evolution is given by the time-dependent Schrodinger¨ equation ∂ ψ iI | ) = ψ ∂t H| ) where is the Hamiltonian of the system (the energy operator) and I is the reduced Planck constant (I = h/H2π with h the Planck constant, allowing conversion from energy to frequency units). We will focus mainly on the Schr¨odinger equation to describe the evolution of a quantum-mechanical system. The statement that the evolution of a closed quantum system is unitary is however more general. It means that the state of a system at a later time t is given by ψ(t) = U(t) ψ(0) , where U(t) is a unitary operator. -
Plato Aristotle Plato’S “Realm of Being”
Plato Aristotle Plato’s “Realm of Being” P.58 "The philosopher's arithmetic applies precisely and strictly only to the world of Being". I am having a hard time understanding this part which seems to be Socrate's thinking. He is taking about equal and unequal units in math- where he says that the ordinary arithmetician operates with unequal units (becoming) and the philosopher with equal units (being). My question is: why does he think this and does that tell us something about how he sees the nature of numbers ultimately? — Loreta Plato’s “Realm of Being” If the realm is meant to be unchanging, and everything has a form, I find it hard to believe that the realm of being contains every possible object for the rest of time. But when new things such as computers are conceived into this world, does the realm of forms not change to account for a new concept? —Ariel Plato’s “Realm of Being” Just the other day I was thinking about why it is we dream of perfection and yet the world is never perfect in any regard. In that sense, I can understand why Plato posits that there is such thing as a world of Being and a World of Becoming, because I recognize the distinction. However, the World of Forms still seems to be a human's idealistic dream, something we believe will never exist in the physical world but is meant to exist anyway. I'm not sure if I can believe in something that is driven by just the idea of wanting it, since we dream of it. -
1 a REFUTATION of QUALIA-PHYSICALISM Michael
1 To appear in M. O’Rourke and C. Washington (eds.), Situating Semantics: Essays on the Philosophy of John Perry (MIT Press) A REFUTATION OF QUALIA-PHYSICALISM Michael McKinsey Wayne State University Recent defenders of reductive physicalism such as Brian Loar (1990, 1997) and John Perry (2001) have adopted an intriguing new strategy:i (1) accept as so much common sense (nearly) everything that property-dualists want to say about sensory qualia, including the central claims that sensory qualia determine ‘what it’s like’ to have a given sense experience, and that persons are directly aware of these qualia in the having of such experiences; (2) contend that while these common sense facts about qualia may show that our ways of thinking and speaking about qualia are conceptually different from our ways of thinking and speaking about physical properties of the brain, these facts do not show that sensory qualia themselves (as opposed to our ways of thinking and speaking about them) are distinct from physical properties of the brain; (3) use this contention to turn aside the few existing arguments against reductive physicalism by such property dualists as Kripke (1972), Nagel (1974), Jackson (1982), and Chalmers (1996); and finally (4) insist that sensory qualia are in fact just identical with physical properties of the brain, so that consequently, the facts about the sensory qualities of conscious experience are nothing over and above physical facts about the brain. I will call the view that incorporates this strategy ‘qualia-physicalism’, or ‘Q-physicalism’ for short. In this paper I will argue that Q-physicalism is false. -
Gottfried Wilhelm Leibniz Papers, 1646-1716
http://oac.cdlib.org/findaid/ark:/13030/kt2779p48t No online items Finding Aid for the Gottfried Wilhelm Leibniz Papers, 1646-1716 Processed by David MacGill; machine-readable finding aid created by Caroline Cubé © 2003 The Regents of the University of California. All rights reserved. Finding Aid for the Gottfried 503 1 Wilhelm Leibniz Papers, 1646-1716 Finding Aid for the Gottfried Wilhelm Leibniz Papers, 1646-1716 Collection number: 503 UCLA Library, Department of Special Collections Manuscripts Division Los Angeles, CA Processed by: David MacGill, November 1992 Encoded by: Caroline Cubé Online finding aid edited by: Josh Fiala, October 2003 © 2003 The Regents of the University of California. All rights reserved. Descriptive Summary Title: Gottfried Wilhelm Leibniz Papers, Date (inclusive): 1646-1716 Collection number: 503 Creator: Leibniz, Gottfried Wilhelm, Freiherr von, 1646-1716 Extent: 6 oversize boxes Repository: University of California, Los Angeles. Library. Dept. of Special Collections. Los Angeles, California 90095-1575 Abstract: Leibniz (1646-1716) was a philosopher, mathematician, and political advisor. He invented differential and integral calculus. His major writings include New physical hypothesis (1671), Discourse on metaphysics (1686), On the ultimate origin of things (1697), and On nature itself (1698). The collection consists of 35 reels of positive microfilm of more than 100,000 handwritten pages of manuscripts and letters. Physical location: Stored off-site at SRLF. Advance notice is required for access to the collection. Please contact the UCLA Library, Department of Special Collections Reference Desk for paging information. Language: English. Restrictions on Use and Reproduction Property rights to the physical object belong to the UCLA Library, Department of Special Collections. -
Reliable Reasoning”
Abstracta SPECIAL ISSUE III, pp. 10 – 17, 2009 COMMENTS ON HARMAN AND KULKARNI’S “RELIABLE REASONING” Glenn Shafer Gil Harman and Sanjeev Kulkarni have written an enjoyable and informative book that makes Vladimir Vapnik’s ideas accessible to a wide audience and explores their relevance to the philosophy of induction and reliable reasoning. The undertaking is important, and the execution is laudable. Vapnik’s work with Alexey Chervonenkis on statistical classification, carried out in the Soviet Union in the 1960s and 1970s, became popular in computer science in the 1990s, partly as the result of Vapnik’s books in English. Vapnik’s statistical learning theory and the statistical methods he calls support vector machines now dominate machine learning, the branch of computer science concerned with statistical prediction, and recently (largely after Harman and Kulkarni completed their book) these ideas have also become well known among mathematical statisticians. A century ago, when the academic world was smaller and less specialized, philosophers, mathematicians, and scientists interested in probability, induction, and scientific methodology talked with each other more than they do now. Keynes studied Bortkiewicz, Kolmogorov studied von Mises, Le Dantec debated Borel, and Fisher debated Jeffreys. Today, debate about probability and induction is mostly conducted within more homogeneous circles, intellectual communities that sometimes cross the boundaries of academic disciplines but overlap less in their discourse than in their membership. Philosophy of science, cognitive science, and machine learning are three of these communities. The greatest virtue of this book is that it makes ideas from these three communities confront each other. In particular, it looks at how Vapnik’s ideas in machine learning can answer or dissolve questions and puzzles that have been posed by philosophers.