Kinetic Energy of a Free Quantum Brownian Particle
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Influence of Thermal Fluctuations on Active Diffusion at Large Péclet Numbers
Influence of thermal fluctuations on active diffusion at large Péclet numbers Cite as: Phys. Fluids 33, 051904 (2021); https://doi.org/10.1063/5.0049386 Submitted: 04 March 2021 . Accepted: 15 April 2021 . Published Online: 14 May 2021 O. T. Dyer, and R. C. Ball COLLECTIONS This paper was selected as Featured ARTICLES YOU MAY BE INTERESTED IN Numerical and theoretical modeling of droplet impact on spherical surfaces Physics of Fluids 33, 052112 (2021); https://doi.org/10.1063/5.0047024 Phase-field modeling of selective laser brazing of diamond grits Physics of Fluids 33, 052113 (2021); https://doi.org/10.1063/5.0049096 Collective locomotion of two uncoordinated undulatory self-propelled foils Physics of Fluids 33, 011904 (2021); https://doi.org/10.1063/5.0036231 Phys. Fluids 33, 051904 (2021); https://doi.org/10.1063/5.0049386 33, 051904 © 2021 Author(s). Physics of Fluids ARTICLE scitation.org/journal/phf Influence of thermal fluctuations on active diffusion at large Peclet numbers Cite as: Phys. Fluids 33, 051904 (2021); doi: 10.1063/5.0049386 Submitted: 4 March 2021 . Accepted: 15 April 2021 . Published Online: 14 May 2021 O. T. Dyera) and R. C. Ball AFFILIATIONS Department of Physics, University of Warwick, Coventry, CV4 7AL, United Kingdom a)Author to whom correspondence should be addressed: [email protected] ABSTRACT Three-dimensional Wavelet Monte Carlo dynamics simulations are used to study the dynamics of passive particles in the presence of microswimmers—both represented by neutrally buoyant spheres—taking into account the often-omitted thermal motion alongside the hydrody- namic flows generated by the swimmers. -
STATISTICAL PHYSICS Dr. A.K. DWIVEDI
STATISTICAL PHYSICS (Part-1) B.Sc. III (paper-1) Unit-II Dr. A.K. DWIVEDI DEPARTMENT OF PHYSICS HARISH CHANDRA P. G. COLLEGE VARANASI 1 STATISTICAL PHYSICS THE STATICAL BASIC OF THERMODYNAMICS Introduction The primary goal of statistical thermodynamics (also known as equilibrium statistical mechanics) is to derive the classical thermodynamics of materials in terms of the properties of their constituent particles and the interactions between them. In other words, statistical thermodynamics provides a connection between the macroscopic properties of materials in thermodynamic equilibrium, and the microscopic behaviors and motions occurring inside the material. Whereas statistical mechanics proper involves dynamics, here the attention is focused on statistical equilibrium (steady state). Statistical equilibrium does not mean that the particles have stopped moving (mechanical equilibrium), rather, only that the ensemble is not evolving. Fundamental postulate A sufficient (but not necessary) condition for statistical equilibrium with an isolated system is that the probability distribution is a function only of conserved properties (total energy, total particle numbers, etc.).There are many different equilibrium ensembles that can be considered, and only some of them correspond to thermodynamics.] Additional postulates are necessary to motivate why the ensemble for a given system should have one form or another. A common approach found in many textbooks is to take the equal a priori probability postulate. This postulate states that For an isolated system with an exactly known energy and exactly known composition, the system can be found with equal probability in any microstate consistent with that knowledge. The equal a priori probability postulate therefore provides a motivation for the microcanonical ensemble described below. -
Equipartition of Energy
Equipartition of Energy The number of degrees of freedom can be defined as the minimum number of independent coordinates, which can specify the configuration of the system completely. (A degree of freedom of a system is a formal description of a parameter that contributes to the state of a physical system.) The position of a rigid body in space is defined by three components of translation and three components of rotation, which means that it has six degrees of freedom. The degree of freedom of a system can be viewed as the minimum number of coordinates required to specify a configuration. Applying this definition, we have: • For a single particle in a plane two coordinates define its location so it has two degrees of freedom; • A single particle in space requires three coordinates so it has three degrees of freedom; • Two particles in space have a combined six degrees of freedom; • If two particles in space are constrained to maintain a constant distance from each other, such as in the case of a diatomic molecule, then the six coordinates must satisfy a single constraint equation defined by the distance formula. This reduces the degree of freedom of the system to five, because the distance formula can be used to solve for the remaining coordinate once the other five are specified. The equipartition theorem relates the temperature of a system with its average energies. The original idea of equipartition was that, in thermal equilibrium, energy is shared equally among all of its various forms; for example, the average kinetic energy per degree of freedom in the translational motion of a molecule should equal that of its rotational motions. -
Dirty Tricks for Statistical Mechanics
Dirty tricks for statistical mechanics Martin Grant Physics Department, McGill University c MG, August 2004, version 0.91 ° ii Preface These are lecture notes for PHYS 559, Advanced Statistical Mechanics, which I’ve taught at McGill for many years. I’m intending to tidy this up into a book, or rather the first half of a book. This half is on equilibrium, the second half would be on dynamics. These were handwritten notes which were heroically typed by Ryan Porter over the summer of 2004, and may someday be properly proof-read by me. Even better, maybe someday I will revise the reasoning in some of the sections. Some of it can be argued better, but it was too much trouble to rewrite the handwritten notes. I am also trying to come up with a good book title, amongst other things. The two titles I am thinking of are “Dirty tricks for statistical mechanics”, and “Valhalla, we are coming!”. Clearly, more thinking is necessary, and suggestions are welcome. While these lecture notes have gotten longer and longer until they are al- most self-sufficient, it is always nice to have real books to look over. My favorite modern text is “Lectures on Phase Transitions and the Renormalisation Group”, by Nigel Goldenfeld (Addison-Wesley, Reading Mass., 1992). This is referred to several times in the notes. Other nice texts are “Statistical Physics”, by L. D. Landau and E. M. Lifshitz (Addison-Wesley, Reading Mass., 1970) par- ticularly Chaps. 1, 12, and 14; “Statistical Mechanics”, by S.-K. Ma (World Science, Phila., 1986) particularly Chaps. -
Fastest Frozen Temperature for a Thermodynamic System
Fastest Frozen Temperature for a Thermodynamic System X. Y. Zhou, Z. Q. Yang, X. R. Tang, X. Wang1 and Q. H. Liu1, 2, ∗ 1School for Theoretical Physics, School of Physics and Electronics, Hunan University, Changsha, 410082, China 2Synergetic Innovation Center for Quantum Effects and Applications (SICQEA), Hunan Normal University,Changsha 410081, China For a thermodynamic system obeying both the equipartition theorem in high temperature and the third law in low temperature, the curve showing relationship between the specific heat and the temperature has two common behaviors: it terminates at zero when the temperature is zero Kelvin and converges to a constant value of specific heat as temperature is higher and higher. Since it is always possible to find the characteristic temperature TC to mark the excited temperature as the specific heat almost reaches the equipartition value, it is also reasonable to find a temperature in low temperature interval, complementary to TC . The present study reports a possibly universal existence of the such a temperature #, defined by that at which the specific heat falls fastest along with decrease of the temperature. For the Debye model of solids, below the temperature # the Debye's law manifest itself. PACS numbers: I. INTRODUCTION A thermodynamic system usually obeys two laws in opposite limits of temperature; in high temperature the equipar- tition theorem works and in low temperature the third law of thermodynamics holds. From the shape of a curve showing relationship between the specific heat and the temperature, the behaviors in these two limits are qualitatively clear: in high temperature it approaches to a constant whereas it goes over to zero during the temperature is lowering to the zero Kelvin. -
Exercise 18.4 the Ideal Gas Law Derived
9/13/2015 Ch 18 HW Ch 18 HW Due: 11:59pm on Monday, September 14, 2015 To understand how points are awarded, read the Grading Policy for this assignment. Exercise 18.4 ∘ A 3.00L tank contains air at 3.00 atm and 20.0 C. The tank is sealed and cooled until the pressure is 1.00 atm. Part A What is the temperature then in degrees Celsius? Assume that the volume of the tank is constant. ANSWER: ∘ T = 175 C Correct Part B If the temperature is kept at the value found in part A and the gas is compressed, what is the volume when the pressure again becomes 3.00 atm? ANSWER: V = 1.00 L Correct The Ideal Gas Law Derived The ideal gas law, discovered experimentally, is an equation of state that relates the observable state variables of the gaspressure, temperature, and density (or quantity per volume): pV = NkBT (or pV = nRT ), where N is the number of atoms, n is the number of moles, and R and kB are ideal gas constants such that R = NA kB, where NA is Avogadro's number. In this problem, you should use Boltzmann's constant instead of the gas constant R. Remarkably, the pressure does not depend on the mass of the gas particles. Why don't heavier gas particles generate more pressure? This puzzle was explained by making a key assumption about the connection between the microscopic world and the macroscopic temperature T . This assumption is called the Equipartition Theorem. The Equipartition Theorem states that the average energy associated with each degree of freedom in a system at T 1 k T k = 1.38 × 10−23 J/K absolute temperature is 2 B , where B is Boltzmann's constant. -
Lecture 8 - Dec 2, 2013 Thermodynamics of Earth and Cosmos; Overview of the Course
Physics 5D - Lecture 8 - Dec 2, 2013 Thermodynamics of Earth and Cosmos; Overview of the Course Reminder: the Final Exam is next Wednesday December 11, 4:00-7:00 pm, here in Thimann Lec 3. You can bring with you two sheets of paper with any formulas or other notes you like. A PracticeFinalExam is at http://physics.ucsc.edu/~joel/Phys5D The Physics Department has elected to use the new eCommons Evaluations System to collect end of the quarter instructor evaluations from students in our courses. All students in our courses will have access to the evaluation tool in eCommons, whether or not the instructor used an eCommons site for course work. Students will receive an email from the department when the evaluation survey is available. The email will provide information regarding the evaluation as well as a link to the evaluation in eCommons. Students can click the link, login to eCommons and find the evaluation to take and submit. Alternately, students can login to ecommons.ucsc.edu and click the Evaluation System tool to see current available evaluations. Monday, December 2, 13 20-8 Heat Death of the Universe If we look at the universe as a whole, it seems inevitable that, as more and more energy is converted to unavailable forms, the total entropy S will increase and the ability to do work anywhere will gradually decrease. This is called the “heat death of the universe”. It was a popular theme in the late 19th century, after physicists had discovered the 2nd Law of Thermodynamics. Lord Kelvin calculated that the sun could only shine for about 20 million years, based on the idea that its energy came from gravitational contraction. -
Thermodynamically Reversible Processes in Statistical Physics I
Thermodynamically Reversible Processes in Statistical Physics John D. Norton Department of History and Philosophy of Science, University of Pittsburgh, Pittsburgh, PA 15222 (Dated: June 15, 2016) Equilibrium states are used as limit states to define thermodynamically reversible processes. When these processes are implemented in statistical physics, these limit states become unstable and can change with time, due to thermal fluctuations. For macroscopic systems, the changes are insignificant on ordinary time scales and what little there is can be suppressed by macroscopically negligible, entropy-creating dissipation. For systems of molecular sizes, the changes are large on short time scales and can only sometimes be suppressed with significant entropy-creating dissipation. As a result, at molecular scales, thermodynamically reversible processes are impossible in principle. Unlike the macroscopic case, they cannot be realized even approximately, when we account for all sources of dissipation. I. INTRODUCTION In ordinary thermodynamics, a reversible process is, loosely speaking, one whose driving forces are so delicately balanced around equilibrium that only a very slight disturbance to them can lead the process to reverse direction. Since the process is arbitrarily close to a perfect balance of driving forces, they proceed arbitrarily slowly while their states remain arbitrarily close to equilibrium states. They can never become equilibrium states. For otherwise, there would be no imbalance of driving forces, no change and no process. Equilibrium states remain as they are. This circumstance changes when we allow that thermal systems consist of very many interacting components, such as molecules, whose behavior is to be analyzed statistically. Then what were the limiting equilibrium states of ordinary thermodynamics are no longer unchanging. -
Transition-Edge Sensors
Transition-Edge Sensors K. D. Irwin and G. C. Hilton National Institute of Standards and Technology Mail Stop 817.03 325 Broadway Boulder, CO 80305 Preprint of chapter in Cryogenic Particle Detection C. Enss (Ed.) Topics Appl. Phys. 99, 63-149 (2005) Springer-Verlag Berlin Heidelberg 2005 ISBN: 3-540-20113-0 Transition-Edge Sensors∗ K. D. Irwin and G. C. Hilton National Institute of Standards and Technology Boulder, CO 80305-3328 USA April 29, 2005 Abstract In recent years, superconducting transition-edge sensors (TES) have emerged as powerful, energy- resolving detectors of single photons from the near infrared through gamma rays and sensitive detectors of photon fluxes out to millimeter wavelengths. The TES is a thermal sensor that measures an energy deposition by the increase of resistance of a superconducting film biased within the superconducting-to- normal transition. Small arrays of TES sensors have been demonstrated, and kilopixel arrays are under development. In this chapter, we describe the theory of the superconducting phase transition, derive the TES calorimeter response and noise theory, discuss the state of understanding of excess noise, and describe practical implementation issues including materials choice, pixel design, array fabrication, and cryogenic SQUID multiplexing. Contents 1 Introduction 2 2 Superconducting transition-edge sensor theory 3 2.1 The superconducting transition . 3 2.2 TES Small Signal Theory Summary . 6 2.3 TES electrical and thermal response . 7 2.4 TES Stability . 16 2.5 Negative electrothermal feedback . 17 2.6 Thermodynamic noise . 19 2.7 Excess noise . 26 2.8 Large Signals . 30 3 Single-pixel implementation 31 3.1 TES Thermometers . -
Lecture 21: 11.22.05 Two Postulates of Statistical Mechanics and the Microscopic Definition of Entropy
3.012 Fundamentals of Materials Science Fall 2005 Lecture 21: 11.22.05 Two Postulates of Statistical Mechanics and the Microscopic Definition of Entropy Today: LAST TIME .........................................................................................................................................................................................2� A simple model: the Einstein solid..............................................................................................................................................2� MICROSTATES IN ISOLATED SYSTEMS .............................................................................................................................................3� The first postulate of statistical mechanics ................................................................................................................................4� The second fundamental postulate of statistical mechanics7 ....................................................................................................5� THE MICROSCOPIC DEFINITION OF ENTROPY ...................................................................................................................................7� Testing the microscopic definition of entropy............................................................................................................................8� The first postulate satisfies the second law ..............................................................................................................................10� -
Thermodynamic Temperature
Thermodynamic temperature Thermodynamic temperature is the absolute measure 1 Overview of temperature and is one of the principal parameters of thermodynamics. Temperature is a measure of the random submicroscopic Thermodynamic temperature is defined by the third law motions and vibrations of the particle constituents of of thermodynamics in which the theoretically lowest tem- matter. These motions comprise the internal energy of perature is the null or zero point. At this point, absolute a substance. More specifically, the thermodynamic tem- zero, the particle constituents of matter have minimal perature of any bulk quantity of matter is the measure motion and can become no colder.[1][2] In the quantum- of the average kinetic energy per classical (i.e., non- mechanical description, matter at absolute zero is in its quantum) degree of freedom of its constituent particles. ground state, which is its state of lowest energy. Thermo- “Translational motions” are almost always in the classical dynamic temperature is often also called absolute tem- regime. Translational motions are ordinary, whole-body perature, for two reasons: one, proposed by Kelvin, that movements in three-dimensional space in which particles it does not depend on the properties of a particular mate- move about and exchange energy in collisions. Figure 1 rial; two that it refers to an absolute zero according to the below shows translational motion in gases; Figure 4 be- properties of the ideal gas. low shows translational motion in solids. Thermodynamic temperature’s null point, absolute zero, is the temperature The International System of Units specifies a particular at which the particle constituents of matter are as close as scale for thermodynamic temperature. -
Light Scattering from Thermal Fluctuations in Disparate Mass Gas Mixtures W
LIGHT SCATTERING FROM THERMAL FLUCTUATIONS IN DISPARATE MASS GAS MIXTURES W. Gornall, Chen Wang To cite this version: W. Gornall, Chen Wang. LIGHT SCATTERING FROM THERMAL FLUCTUATIONS IN DIS- PARATE MASS GAS MIXTURES. Journal de Physique Colloques, 1972, 33 (C1), pp.C1-51-C1-56. 10.1051/jphyscol:1972110. jpa-00214900 HAL Id: jpa-00214900 https://hal.archives-ouvertes.fr/jpa-00214900 Submitted on 1 Jan 1972 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. JOURNAL DE PHYSIQUE Colloque Cl, supplkment au no 2-3, Tome 33, Fkvrier-Mars 1972, page (21-51 LIGHT SCATTERING FROM THERMAL FLUCTUATIONS IN DISPARATE MASS GAS MIXTURES (*) W. S. GORNALL (**) and C. S. WANG Division of Engineering and Applied Physics, Harvard University Cambridge Massachusetts, 02138 U. S. A. RBsumB. - La diffusion Rayleigh-Brillouin a 6th etudike dans des mklanges gazeux de He et Xe de concentrations diffkrentes. En augmentant la concentration en He, un elargissement prononc6 et une modification (reduction) du deplacement de fr6quence des composantes Brillouin ont 6te observks et attribues a un fort couplage entre les ondes sonores et les modes de diffusion de concen- tration dans le melange.