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Arxiv:1806.08325V1 [Quant-Ph] 21 Jun 2018 Between Particle Number and Energy, in the Same Way That Temperature T Acts As an Exchange Rate Between Entropy and Energy
Quantum Thermodynamics book Quantum thermodynamics with multiple conserved quantities Erick Hinds-Mingo,1 Yelena Guryanova,2 Philippe Faist,3 and David Jennings4, 1 1QOLS, Blackett Laboratory, Imperial College London, London SW7 2AZ, United Kingdom 2Institute for Quantum Optics and Quantum Information (IQOQI), Boltzmanngasse 3 1090, Vienna, Austria 3Institute for Quantum Information and Matter, Caltech, Pasadena CA, 91125 USA 4Department of Physics, University of Oxford, Oxford, OX1 3PU, United Kingdom (Dated: June 22, 2018) In this chapter we address the topic of quantum thermodynamics in the presence of additional observables beyond the energy of the system. In particular we discuss the special role that the generalized Gibbs ensemble plays in this theory, and derive this state from the perspectives of a micro-canonical ensemble, dynamical typicality and a resource-theory formulation. A notable obsta- cle occurs when some of the observables do not commute, and so it is impossible for the observables to simultaneously take on sharp microscopic values. We show how this can be circumvented, discuss information-theoretic aspects of the setting, and explain how thermodynamic costs can be traded between the different observables. Finally, we discuss open problems and future directions for the topic. INTRODUCTION Thermodynamics has been remarkable in its applicability to a vast array of systems. Indeed, the laws of macroscopic thermodynamics have been successfully applied to the studies of magnetization [1, 2], superconductivity [3], cosmology [4], chemical reactions [5] and biological phenomena [6, 7], to name a few fields. In thermodynamics, energy plays a key role as a thermodynamic potential, that is, as a function of the other thermodynamic variables which characterizes all the thermodynamic properties of the system. -
Entropy: Ideal Gas Processes
Chapter 19: The Kinec Theory of Gases Thermodynamics = macroscopic picture Gases micro -> macro picture One mole is the number of atoms in 12 g sample Avogadro’s Number of carbon-12 23 -1 C(12)—6 protrons, 6 neutrons and 6 electrons NA=6.02 x 10 mol 12 atomic units of mass assuming mP=mn Another way to do this is to know the mass of one molecule: then So the number of moles n is given by M n=N/N sample A N = N A mmole−mass € Ideal Gas Law Ideal Gases, Ideal Gas Law It was found experimentally that if 1 mole of any gas is placed in containers that have the same volume V and are kept at the same temperature T, approximately all have the same pressure p. The small differences in pressure disappear if lower gas densities are used. Further experiments showed that all low-density gases obey the equation pV = nRT. Here R = 8.31 K/mol ⋅ K and is known as the "gas constant." The equation itself is known as the "ideal gas law." The constant R can be expressed -23 as R = kNA . Here k is called the Boltzmann constant and is equal to 1.38 × 10 J/K. N If we substitute R as well as n = in the ideal gas law we get the equivalent form: NA pV = NkT. Here N is the number of molecules in the gas. The behavior of all real gases approaches that of an ideal gas at low enough densities. Low densitiens m= enumberans tha oft t hemoles gas molecul es are fa Nr e=nough number apa ofr tparticles that the y do not interact with one another, but only with the walls of the gas container. -
Statistical Physics Problem Sets 5–8: Statistical Mechanics
Statistical Physics xford hysics Second year physics course A. A. Schekochihin and A. Boothroyd (with thanks to S. J. Blundell) Problem Sets 5{8: Statistical Mechanics Hilary Term 2014 Some Useful Constants −23 −1 Boltzmann's constant kB 1:3807 × 10 JK −27 Proton rest mass mp 1:6726 × 10 kg 23 −1 Avogadro's number NA 6:022 × 10 mol Standard molar volume 22:414 × 10−3 m3 mol−1 Molar gas constant R 8:315 J mol−1 K−1 1 pascal (Pa) 1 N m−2 1 standard atmosphere 1:0132 × 105 Pa (N m−2) 1 bar (= 1000 mbar) 105 N m−2 Stefan{Boltzmann constant σ 5:67 × 10−8 Wm−2K−4 2 PROBLEM SET 5: Foundations of Statistical Mechanics If you want to try your hand at some practical calculations first, start with the Ideal Gas questions Maximum Entropy Inference 5.1 Factorials. a) Use your calculator to work out ln 15! Compare your answer with the simple version of Stirling's formula (ln N! ≈ N ln N − N). How big must N be for the simple version of Stirling's formula to be correct to within 2%? b∗) Derive Stirling's formula (you can look this up in a book). If you figure out this derivation, you will know how to calculate the next term in the approximation (after N ln N − N) and therefore how to estimate the precision of ln N! ≈ N ln N − N for any given N without calculating the factorials on a calculator. Check the result of (a) using this method. -
IB Questionbank
Topic 3 Past Paper [94 marks] This question is about thermal energy transfer. A hot piece of iron is placed into a container of cold water. After a time the iron and water reach thermal equilibrium. The heat capacity of the container is negligible. specific heat capacity. [2 marks] 1a. Define Markscheme the energy required to change the temperature (of a substance) by 1K/°C/unit degree; of mass 1 kg / per unit mass; [5 marks] 1b. The following data are available. Mass of water = 0.35 kg Mass of iron = 0.58 kg Specific heat capacity of water = 4200 J kg–1K–1 Initial temperature of water = 20°C Final temperature of water = 44°C Initial temperature of iron = 180°C (i) Determine the specific heat capacity of iron. (ii) Explain why the value calculated in (b)(i) is likely to be different from the accepted value. Markscheme (i) use of mcΔT; 0.58×c×[180-44]=0.35×4200×[44-20]; c=447Jkg-1K-1≈450Jkg-1K-1; (ii) energy would be given off to surroundings/environment / energy would be absorbed by container / energy would be given off through vaporization of water; hence final temperature would be less; hence measured value of (specific) heat capacity (of iron) would be higher; This question is in two parts. Part 1 is about ideal gases and specific heat capacity. Part 2 is about simple harmonic motion and waves. Part 1 Ideal gases and specific heat capacity State assumptions of the kinetic model of an ideal gas. [2 marks] 2a. two Markscheme point molecules / negligible volume; no forces between molecules except during contact; motion/distribution is random; elastic collisions / no energy lost; obey Newton’s laws of motion; collision in zero time; gravity is ignored; [4 marks] 2b. -
Influence of Boundary Conditions on Statistical Properties of Ideal Bose
PHYSICAL REVIEW E, VOLUME 65, 036129 Influence of boundary conditions on statistical properties of ideal Bose-Einstein condensates Martin Holthaus* Fachbereich Physik, Carl von Ossietzky Universita¨t, D-26111 Oldenburg, Germany Kishore T. Kapale and Marlan O. Scully Max-Planck-Institut fu¨r Quantenoptik, D-85748 Garching, Germany and Department of Physics and Institute for Quantum Studies, Texas A&M University, College Station, Texas 77843 ͑Received 23 October 2001; published 27 February 2002͒ We investigate the probability distribution that governs the number of ground-state particles in a partially condensed ideal Bose gas confined to a cubic volume within the canonical ensemble. Imposing either periodic or Dirichlet boundary conditions, we derive asymptotic expressions for all its cumulants. Whereas the conden- sation temperature becomes independent of the boundary conditions in the large-system limit, as implied by Weyl’s theorem, the fluctuation of the number of condensate particles and all higher cumulants remain sensi- tive to the boundary conditions even in that limit. The implications of these findings for weakly interacting Bose gases are briefly discussed. DOI: 10.1103/PhysRevE.65.036129 PACS number͑s͒: 05.30.Ch, 05.30.Jp, 03.75.Fi ϭ When London, in 1938, wrote his now-famous papers on with 1/(kBT), where kB denotes Boltzmann’s constant. Bose-Einstein condensation of an ideal gas ͓1,2͔, he simply Note that the product runs over the excited states only, ex- considered a free system of N noninteracting Bose particles cluding the ground state ϭ0; the frequencies of the indi- without an external trapping potential, imposing periodic vidual oscillators being given by the excited-states energies boundary conditions on a cubic volume V. -
Thermodynamics of Ideal Gases
D Thermodynamics of ideal gases An ideal gas is a nice “laboratory” for understanding the thermodynamics of a fluid with a non-trivial equation of state. In this section we shall recapitulate the conventional thermodynamics of an ideal gas with constant heat capacity. For more extensive treatments, see for example [67, 66]. D.1 Internal energy In section 4.1 we analyzed Bernoulli’s model of a gas consisting of essentially 1 2 non-interacting point-like molecules, and found the pressure p = 3 ½ v where v is the root-mean-square average molecular speed. Using the ideal gas law (4-26) the total molecular kinetic energy contained in an amount M = ½V of the gas becomes, 1 3 3 Mv2 = pV = nRT ; (D-1) 2 2 2 where n = M=Mmol is the number of moles in the gas. The derivation in section 4.1 shows that the factor 3 stems from the three independent translational degrees of freedom available to point-like molecules. The above formula thus expresses 1 that in a mole of a gas there is an internal kinetic energy 2 RT associated with each translational degree of freedom of the point-like molecules. Whereas monatomic gases like argon have spherical molecules and thus only the three translational degrees of freedom, diatomic gases like nitrogen and oxy- Copyright °c 1998{2004, Benny Lautrup Revision 7.7, January 22, 2004 662 D. THERMODYNAMICS OF IDEAL GASES gen have stick-like molecules with two extra rotational degrees of freedom or- thogonally to the bridge connecting the atoms, and multiatomic gases like carbon dioxide and methane have the three extra rotational degrees of freedom. -
The Two-Dimensional Bose Gas in Box Potentials Laura Corman
The two-dimensional Bose Gas in box potentials Laura Corman To cite this version: Laura Corman. The two-dimensional Bose Gas in box potentials. Physics [physics]. Université Paris sciences et lettres, 2016. English. NNT : 2016PSLEE014. tel-01449982 HAL Id: tel-01449982 https://tel.archives-ouvertes.fr/tel-01449982 Submitted on 30 Jan 2017 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. THÈSE DE DOCTORAT de l’Université de recherche Paris Sciences Lettres – PSL Research University préparée à l’École normale supérieure The Two-Dimensional Bose École doctorale n°564 Gas in Box Potentials Spécialité: Physique Soutenue le 02.06.2016 Composition du Jury : par Laura Corman M Tilman Esslinger ETH Zürich Rapporteur Mme Hélène Perrin Université Paris XIII Rapporteur M Zoran Hadzibabic Cambridge University Membre du Jury M Gilles Montambaux Université Paris XI Membre du Jury M Jean Dalibard Collège de France Directeur de thèse M Jérôme Beugnon Université Paris VI Membre invité ABSTRACT Degenerate atomic gases are a versatile tool to study many-body physics. They offer the possibility to explore low-dimension physics, which strongly differs from the three dimensional (3D) case due to the enhanced role of fluctuations. -
Thermodynamics and Phase Diagrams
Thermodynamics and Phase Diagrams Arthur D. Pelton Centre de Recherche en Calcul Thermodynamique (CRCT) École Polytechnique de Montréal C.P. 6079, succursale Centre-ville Montréal QC Canada H3C 3A7 Tél : 1-514-340-4711 (ext. 4531) Fax : 1-514-340-5840 E-mail : [email protected] (revised Aug. 10, 2011) 2 1 Introduction An understanding of phase diagrams is fundamental and essential to the study of materials science, and an understanding of thermodynamics is fundamental to an understanding of phase diagrams. A knowledge of the equilibrium state of a system under a given set of conditions is the starting point in the description of many phenomena and processes. A phase diagram is a graphical representation of the values of the thermodynamic variables when equilibrium is established among the phases of a system. Materials scientists are most familiar with phase diagrams which involve temperature, T, and composition as variables. Examples are T-composition phase diagrams for binary systems such as Fig. 1 for the Fe-Mo system, isothermal phase diagram sections of ternary systems such as Fig. 2 for the Zn-Mg-Al system, and isoplethal (constant composition) sections of ternary and higher-order systems such as Fig. 3a and Fig. 4. However, many useful phase diagrams can be drawn which involve variables other than T and composition. The diagram in Fig. 5 shows the phases present at equilibrium o in the Fe-Ni-O2 system at 1200 C as the equilibrium oxygen partial pressure (i.e. chemical potential) is varied. The x-axis of this diagram is the overall molar metal ratio in the system. -
Opacity and Emissivity in Spectral Lines (Cont)
PHYS 7810 / COLLAGE2021: Solar Spectral Line Diagnostics Lecture 05: Opacity and Emissivity in Spectral Lines (cont) Ivan Milic (CU Boulder) ; ivan.milic (at) colorado.edu Plan for today: ● On Tuesday we entered the discussion talking about emissivity and deriving an expression ● Today we are first going to do the same for opacity (but much faster) ● Then we are going to investigate some relationships between the two ● And to analyze, through equations how each physical parameter (T, p, v, B), influences opacity/emissivity. Once again, this is equation that includes it all This whole equation tells us how the things behave on big scales. (dl is geometrical length, and light propagates over very large distances inside of astrophysical objects. These two coefficients, on the other side, depend on specific physics of emission and absorption. We talk about them now Emissivity due to spectral line transitions ● This is only due to bound-bound processes, other sources would look differently ● Finding the number density of the atoms that are in the upper energy state (population of the upper level) will be the most cumbersome task. ● Also, line emission/absorption profile (often the same) contains many dependencies The absorption coefficient (opacity) ● We can have a very similar story here: ● The intensity should have units of inverse length. What if we relate it somehow to number density of absorption events (absorbers?) ● This is more “classical” than the previous argument, but it very intuitively tells us what opacity depends on! Let’s write -
Research Article Electron Density from Balmer Series Hydrogen Lines
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Crossref Hindawi Publishing Corporation International Journal of Spectroscopy Volume 2016, Article ID 7521050, 9 pages http://dx.doi.org/10.1155/2016/7521050 Research Article Electron Density from Balmer Series Hydrogen Lines and Ionization Temperatures in Inductively Coupled Argon Plasma Supplied by Aerosol and Volatile Species Jolanta Borkowska-Burnecka, WiesBaw gyrnicki, Maja WeBna, and Piotr Jamróz Chemistry Department, Division of Analytical Chemistry and Chemical Metallurgy, Wroclaw University of Technology, Wybrzeze Wyspianskiego 27, 50-370 Wroclaw, Poland Correspondence should be addressed to Wiesław Zyrnicki;˙ [email protected] Received 29 October 2015; Revised 15 February 2016; Accepted 1 March 2016 Academic Editor: Eugene Oks Copyright © 2016 Jolanta Borkowska-Burnecka et al. 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. Electron density and ionization temperatures were measured for inductively coupled argon plasma at atmospheric pressure. Different sample introduction systems were investigated. Samples containing Sn, Hg, Mg, and Fe and acidified with hydrochloric or acetic acids were introduced into plasma in the form of aerosol, gaseous mixture produced in the reaction of these solutions with NaBH4 and the mixture of the aerosol and chemically generated gases. The electron densities measured from H ,H,H,andH lines on the base of Stark broadening were compared. The study of the H Balmer series line profiles showed that the values from H and H were well consistent with those obtained from H which was considered as a common standard line for spectroscopic 15 15 −3 measurement of electron density. -
Local Entropy As a Measure for Sampling Solutions in Constraint
Local entropy as a measure for sampling solutions in Constraint Satisfaction Problems Carlo Baldassi,1, 2 Alessandro Ingrosso,1, 2 Carlo Lucibello,1, 2 Luca Saglietti,1, 2 and Riccardo Zecchina1, 2, 3 1Dept. Applied Science and Technology, Politecnico di Torino, Corso Duca degli Abruzzi 24, I-10129 Torino, Italy 2Human Genetics Foundation-Torino, Via Nizza 52, I-10126 Torino, Italy 3Collegio Carlo Alberto, Via Real Collegio 30, I-10024 Moncalieri, Italy We introduce a novel Entropy-driven Monte Carlo (EdMC) strategy to efficiently sample solutions of random Constraint Satisfaction Problems (CSPs). First, we ex- tend a recent result that, using a large-deviation analysis, shows that the geometry of the space of solutions of the Binary Perceptron Learning Problem (a prototypical CSP), contains regions of very high-density of solutions. Despite being sub-dominant, these regions can be found by optimizing a local entropy measure. Building on these results, we construct a fast solver that relies exclusively on a local entropy estimate, and can be applied to general CSPs. We describe its performance not only for the Perceptron Learning Problem but also for the random K-Satisfiabilty Problem (an- other prototypical CSP with a radically different structure), and show numerically that a simple zero-temperature Metropolis search in the smooth local entropy land- scape can reach sub-dominant clusters of optimal solutions in a small number of steps, while standard Simulated Annealing either requires extremely long cooling procedures or just fails. We also discuss how the EdMC can heuristically be made even more efficient for the cases we studied. -
Lecture 8: Maximum and Minimum Work, Thermodynamic Inequalities
Lecture 8: Maximum and Minimum Work, Thermodynamic Inequalities Chapter II. Thermodynamic Quantities A.G. Petukhov, PHYS 743 October 4, 2017 Chapter II. Thermodynamic Quantities Lecture 8: Maximum and Minimum Work, ThermodynamicA.G. Petukhov,October Inequalities PHYS 4, 743 2017 1 / 12 Maximum Work If a thermally isolated system is in non-equilibrium state it may do work on some external bodies while equilibrium is being established. The total work done depends on the way leading to the equilibrium. Therefore the final state will also be different. In any event, since system is thermally isolated the work done by the system: jAj = E0 − E(S); where E0 is the initial energy and E(S) is final (equilibrium) one. Le us consider the case when Vinit = Vfinal but can change during the process. @ jAj @E = − = −Tfinal < 0 @S @S V The entropy cannot decrease. Then it means that the greater is the change of the entropy the smaller is work done by the system The maximum work done by the system corresponds to the reversible process when ∆S = Sfinal − Sinitial = 0 Chapter II. Thermodynamic Quantities Lecture 8: Maximum and Minimum Work, ThermodynamicA.G. Petukhov,October Inequalities PHYS 4, 743 2017 2 / 12 Clausius Theorem dS 0 R > dS < 0 R S S TA > TA T > T B B A δQA > 0 B Q 0 δ B < The system following a closed path A: System receives heat from a hot reservoir. Temperature of the thermostat is slightly larger then the system temperature B: System dumps heat to a cold reservoir. Temperature of the system is slightly larger then that of the thermostat Chapter II.