Lecture 5: Thermodynamics
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Recitation: 3 9/18/03
Recitation: 3 9/18/03 Second Law ² There exists a function (S) of the extensive parameters of any composite system, defined for all equilibrium states and having the following property: The values assumed by the extensive parameters in the absence of an internal constraint are those that maximize the entropy over the manifold of constrained equilibrium states. ¡¢ ¡ ² Another way of looking at it: ¡¢ ¡ U1 U2 U=U1+U2 S1 S2 S>S1+S2 ¡¢ ¡ Equilibrium State Figure 1: Second Law ² Entropy is additive. And... � ¶ @S > 0 @U V;N::: ² S is an extensive property: It is a homogeneous, first order function of extensive parameters: S (¸U; ¸V; ¸N) =¸S (U; V; N) ² S is not conserved. ±Q dSSys ¸ TSys For an Isolated System, (i.e. Universe) 4S > 0 Locally, the entropy of the system can decrease. However, this must be compensated by a total increase in the entropy of the universe. (See 2) Q Q ΔS1=¡ ΔS2= + T1³ ´ T2 1 1 ΔST otal =Q ¡ > 0 T2 T1 QuasiStatic Processes A Quasistatic thermodynamic process is defined as the trajectory, in thermodynamic space, along an infinite number of contiguous equilibrium states that connect to equilibrium states, A and B. Universe System T2 T1 Q T1>T2 Figure 2: Local vs. Total Change in Energy Irreversible Process Consider a closed system that can go from state A to state B. The system is induced to go from A to B through the removal of some internal constraint (e.g. removal of adiabatic wall). The systems moves to state B only if B has a maximum entropy with respect to all the other accessible states. -
Chapter 7 BOUNDARY WORK
Chapter 7 BOUNDARY WORK Frank is struck - as if for the first time - by how much civilization depends on not seeing certain things and pretending others never occurred. − Francine Prose (Amateur Voodoo) In this chapter we will learn to evaluate Win, which is the work term in the first law of thermodynamics. Work can be of different types, such as boundary work, stirring work, electrical work, magnetic work, work of changing the surface area, and work to overcome friction. In this chapter, we will concentrate on the evaluation of boundary work. 110 Chapter 7 7.1 Boundary Work in Real Life Boundary work is done when the boundary of the system moves, causing either compression or expansion of the system. A real-life application of boundary work, for example, is found in the diesel engine which consists of pistons and cylinders as the prime component of the engine. In a diesel engine, air is fed to the cylinder and is compressed by the upward movement of the piston. The boundary work done by the piston in compressing the air is responsible for the increase in air temperature. Onto the hot air, diesel fuel is sprayed, which leads to spontaneous self ignition of the fuel-air mixture. The chemical energy released during this combustion process would heat up the gases produced during combustion. As the gases expand due to heating, they would push the piston downwards with great force. A major portion of the boundary work done by the gases on the piston gets converted into the energy required to rotate the shaft of the engine. -
1 / C\% Cellular Motions and Thermal Fluctuations: the Brownian Ratchet
1 / C\% 316 Biophysical Journal Volume 65 July 1993 316-324 ” Cellular Motions and Thermal Fluctuations: The Brownian Ratchet Charles S. Peskin,* Garrett M. Odell,* and George F. Osters l Courant Institute of Mathematical Sciences, New York, New York 10012; *Department of Zoology, University of Washington, Seattle, Washington 98195; SDepartments of Molecular and Cellular Biology, and Entomology, University of California, Berkeley, California 94720 USA ABSTRACT We present here a model for how chemical reactions generate protrusive forces by rectifying Brownian motion. This sort of energy transduction drives a number of intracellular processes, including filopodial protrusion, propulsion of the bacterium Wisteria, and protein translocation. INTRODUCTION Many types of cellular protrusions, including filopodia, This is the speed of a perfect BR. Note that as the ratchet lamellipodia, and acrosomal extension do not appear to in- interval, 8, decreases, the ratchet velocity increases. This is volve molecular motors. These processes transduce chemical because the frequency of smaller Brownian steps grows more bond energy into directed motion, but they do not operate in rapidly than the step size shrinks (when 6 is of the order of a mechanochemical cycle and need not depend directly upon a mean free path, then this formula obviously breaks down). nucleotide hydrolysis. In this paper we describe several such Several ingredients must be added to this simple expres- processes and present simple formulas for the velocity and sion to make it useful in real situations. First, the ratchet force they generate. We shall call these machines “Brownian cannot be perfect: a particle crossing a ratchet boundary may ratchets” (BR) because rectified Brownian motion is funda- occasionally cross back. -
On Control of Transport in Brownian Ratchet Mechanisms
Journal of Process Control 27 (2015) 76–86 Contents lists available at ScienceDirect Journal of Process Control j ournal homepage: www.elsevier.com/locate/jprocont On control of transport in Brownian ratchet mechanisms a,∗ a b a Subhrajit Roychowdhury , Govind Saraswat , Srinivasa Salapaka , Murti Salapaka a Department of Electrical and Computer Engineering, University of Minnesota-Twin Cities, 2-270 Keller Hall, Minneapolis, MN 55455, USA b Department of Mechanical Science and Engineering, University of Illinois at Urbana-Champaign, 1206 West Green Street, Urbana, IL 61801, USA a r t i c l e i n f o a b s t r a c t Article history: Engineered transport of material at the nano/micro scale is essential for the manufacturing platforms of Received 1 April 2014 the future. Unlike conventional transport systems, at the nano/micro scale, transport has to be achieved Received in revised form in the presence of fundamental sources of uncertainty such as thermal noise. Remarkably, it is possible 15 September 2014 to extract useful work by rectifying noise using an asymmetric potential; a principle used by Brownian Accepted 26 November 2014 ratchets. In this article a systematic methodology for designing open-loop Brownian ratchet mechanisms Available online 23 December 2014 that optimize velocity and efficiency is developed. In the case where the particle position is available as a measured variable, closed loop methodologies are studied. Here, it is shown that methods that strive Keywords: to optimize velocity of transport may compromise efficiency. A dynamic programming based approach Flashing ratchet is presented which yields up to three times improvement in efficiency over optimized open loop designs Stochastic systems Dynamic programming and 35% better efficiency over reported closed loop strategies that focus on optimizing velocities. -
Brownian Ratchets in Physics and Biology
Contemporary Physics, 1997, volume 38, number 6, pages 371 ± 379 Brownian ratchets in physics and biology M ARTIN BIER Thirty years ago Feynman et al. presented a paradox in the Lectures on Physics: an imagined device could let Brownian motion do work by allowing it in one direction and blocking it in the opposite direction. In the chapter Feynman et al. eventually show that such ratcheting can only be achieved if there is, in compliance with the basic conservation laws, some energy input from an external source. Now that technology is going into ever smaller dimensions, ratcheting Brownian motion seems to be a real possibility in nanotechnological applications. Furthermore, Brownian motion plays an essential role in the action of motor proteins (individual molecules that convert chemical energy into motion). 1. The thermodynamic consistency of a Brownian microscopic engine is not necessarily the microscopic ratchet equivalent of an e cient macroscopic engine. At the Technology is reaching into ever smaller dimensions microscopic level it is possible to `ratchet’ Brownian nowadays. Many research groups are shrinking labs onto motion, i.e. to allow Brownian motion in one direction tiny squares of silicon or glass. On these `labs on chips’ and block it in the opposite direction so net displacement individual bacteria viruses and macromolecules (like occurs. It appears that a lot of biological systems at the proteins or DNA strands) are identi® ed and/or manipu- molecular level operate like this [3]. Systems that convert lated [1]. On the micrometre scale physics is diŒerent. For energy in the presence of Brownian motion are compli- motion in a ¯ uid the Reynolds number (i.e. -
Session 15 Thermodynamics
Session 15 Thermodynamics Cheryl Hurkett Physics Innovations Centre for Excellence in Learning and Teaching CETL (Leicester) Department of Physics and Astronomy University of Leicester 1 Contents Welcome .................................................................................................................................. 4 Session Authors .................................................................................................................. 4 Learning Objectives .............................................................................................................. 5 The Problem ........................................................................................................................... 6 Issues .................................................................................................................................... 6 Energy, Heat and Work ........................................................................................................ 7 The First Law of thermodynamics................................................................................... 8 Work..................................................................................................................................... 9 Heat .................................................................................................................................... 11 Principal Specific heats of a gas ..................................................................................... 12 Summary .......................................................................................................................... -
Artificial Brownian Motors: Controlling Transport on the Nanoscale
Artificial Brownian motors: Controlling transport on the nanoscale Peter H¨anggi1, 2, ∗ and Fabio Marchesoni3, 4, y 1Institut f¨urPhysik, Universit¨atAugsburg, Universit¨atsstr.1, D-86135 Augsburg, Germany 2Department of Physics and Centre for Computational Science and Engineering, National University of Singapore, Singapore 117542 3Dipartimento di Fisica, Universit`adi Camerino, I-62032 Camerino, Italy 4School of Physics, Korea Institute for Advanced Study, Seoul 130-722, Korea (Dated: September 24, 2008) In systems possessing spatial or dynamical symmetry breaking, Brownian motion combined with unbiased external input signals, deterministic or random, alike, can assist directed motion of particles at the submicron scales. In such cases, one speaks of \Brownian motors". In this review the constructive role of Brownian motion is exemplified for various physical and technological setups, which are inspired by the cell molecular machinery: working principles and characteristics of stylized devices are discussed to show how fluctuations, either thermal or extrinsic, can be used to control diffusive particle transport. Recent experimental demonstrations of this concept are surveyed with particular attention to transport in artificial, i.e. non-biological nanopores and optical traps, where single particle currents have been first measured. Much emphasis is given to two- and three-dimensional devices containing many interacting particles of one or more species; for this class of artificial motors, noise rectification results also from the interplay of particle Brownian motion and geometric constraints. Recently, selective control and optimization of the transport of interacting colloidal particles and magnetic vortices have been successfully achieved, thus leading to the new generation of microfluidic and superconducting devices presented hereby. -
Chapter 11 ENTROPY
Chapter 11 ENTROPY There is nothing like looking, if you want to find something. You certainly usually find something, if you look, but it is not always quite the something you were after. − J.R.R. Tolkien (The Hobbit) In the preceding chapters, we have learnt many aspects of the first law applications to various thermodynamic systems. We have also learnt to use the thermodynamic properties, such as pressure, temperature, internal energy and enthalpy, when analysing thermodynamic systems. In this chap- ter, we will learn yet another thermodynamic property known as entropy, and its use in the thermodynamic analyses of systems. 250 Chapter 11 11.1 Reversible Process The property entropy is defined for an ideal process known as the re- versible process. Let us therefore first see what a reversible process is all about. If we can execute a process which can be reversed without leaving any trace on the surroundings, then such a process is known as the reversible process. That is, if a reversible process is reversed then both the system and the surroundings are returned to their respective original states at the end of the reverse process. Processes that are not reversible are called irreversible processes. Student: Teacher, what exactly is the difference between a reversible process and a cyclic process? Teacher: In a cyclic process, the system returns to its original state. That’s all. We don’t bother about what happens to its surroundings when the system is returned to its original state. In a reversible process, on the other hand, the system need not return to its original state. -
A Stochastic Analysis of a Brownian Ratchet Model for Actin-Based Motility
Copyright c 2004 Tech Science Press MCB, vol.1, no.4, pp.267-278, 2004 A Stochastic Analysis of a Brownian Ratchet Model for Actin-Based Motility Hong Qian1 Abstract: In recent single-particle tracking (SPT) ical models [Oosawa and Asakura (1975); Hill (1981); measurements on Listeria monocytogenes motility in Hill and Kirschner (1982); Hill (1987); Peskin, Odell, cells [Kuo and McGrath (2000)], the actin-based stochas- and Oster (1993); Mogilner and Oster (1996)]. Interac- tic dynamics of the bacterium movement has been ana- tions between experimental observations and theoretical lyzed statistically in terms of the mean-square displace- ideas have generated exciting research in both biophysics ment (MSD) of the trajectory. We present a stochastic and mathematical biology [Mogilner and Oster (2003)]. analysis of a simplified polymerization Brownian ratchet The molecular theory of actin polymerization also pro- (BR) model in which motions are limited by the bac- vides a unique opportunity in which the mechanics and terium movement. Analytical results are obtained and chemistry of a biological system are integrated. At the statistical data analyses are investigated. It is shown mesoscopic level, mechanics and chemistry are often two that the MSD of the stochastic bacterium movement is perspectives of a single physical process we call chemo- a monotonic quadratic function while the MSD for de- mechanics [Qian and Shapiro (1999); Qian (2000a); Qian trended trajectories is linear. Both the short-time relax- (2002b)]. ation and the long-time kinetics in terms the mean veloc- Following the seminal work of Peskin, Odell, and Os- ity and effective diffusion constant of the propelled bac- ter (1993), a sizable literature now exists on mathemat- terium are obtained from the MSD analysis. -
Brownian Motors: Noisy Transport Far from Equilibrium
Physics Reports 361 (2002) 57–265 www.elsevier.com/locate/physrep Brownian motors:noisy transport far from equilibrium Peter Reimann Institut fur Physik, Universitat Augsburg, Universitatsstr. 1, 86135 Augsburg, Germany Received August 2001; Editor:I : Procaccia Contents 1. Introduction 59 4.6. Biological applications:molecular 1.1. Outline and scope 59 pumps and motors 130 1.2. Historical landmarks 60 5. Tilting ratchets 133 1.3. Organization of the paper 61 5.1. Model 133 2. Basic concepts and phenomena 63 5.2. Adiabatic approximation 133 2.1. Smoluchowski–Feynman ratchet 63 5.3. Fast tilting 135 2.2. Fokker–Planck equation 67 5.4. Comparison with pulsating ratchets 136 2.3. Particle current 68 5.5. Fluctuating force ratchets 137 2.4. Solution and discussion 69 5.6. Photovoltaic e5ects 143 2.5. Tilted Smoluchowski–Feynman ratchet 72 5.7. Rocking ratchets 144 2.6. Temperature ratchet and ratchet e5ect 75 5.8. In=uence of inertia and Hamiltonian 2.7. Mechanochemical coupling 79 ratchets 148 2.8. Curie’s principle 80 5.9. Two-dimensional systems and entropic 2.9. Brillouin’s paradox 81 ratchets 150 2.10. Asymptotic analysis 82 5.10. Rocking ratchets in SQUIDs 152 2.11. Current inversions 83 5.11. Giant enhancement of di5usion 154 3. General framework 86 5.12. Asymmetrically tilting ratchets 156 3.1. Working model 86 6. Sundry extensions 159 3.2. Symmetry 90 6.1. Seebeck ratchets 160 3.3. Main ratchet types 91 6.2. Feynman ratchets 162 3.4. Physical basis 93 6.3. Temperature ratchets 164 3.5. -
BASIC THERMODYNAMICS REFERENCES: ENGINEERING THERMODYNAMICS by P.K.NAG 3RD EDITION LAWS of THERMODYNAMICS
Module I BASIC THERMODYNAMICS REFERENCES: ENGINEERING THERMODYNAMICS by P.K.NAG 3RD EDITION LAWS OF THERMODYNAMICS • 0 th law – when a body A is in thermal equilibrium with a body B, and also separately with a body C, then B and C will be in thermal equilibrium with each other. • Significance- measurement of property called temperature. A B C Evacuated tube 100o C Steam point Thermometric property 50o C (physical characteristics of reference body that changes with temperature) – rise of mercury in the evacuated tube 0o C bulb Steam at P =1ice atm T= 30oC REASONS FOR NOT TAKING ICE POINT AND STEAM POINT AS REFERENCE TEMPERATURES • Ice melts fast so there is a difficulty in maintaining equilibrium between pure ice and air saturated water. Pure ice Air saturated water • Extreme sensitiveness of steam point with pressure TRIPLE POINT OF WATER AS NEW REFERENCE TEMPERATURE • State at which ice liquid water and water vapor co-exist in equilibrium and is an easily reproducible state. This point is arbitrarily assigned a value 273.16 K • i.e. T in K = 273.16 X / Xtriple point • X- is any thermomertic property like P,V,R,rise of mercury, thermo emf etc. OTHER TYPES OF THERMOMETERS AND THERMOMETRIC PROPERTIES • Constant volume gas thermometers- pressure of the gas • Constant pressure gas thermometers- volume of the gas • Electrical resistance thermometer- resistance of the wire • Thermocouple- thermo emf CELCIUS AND KELVIN(ABSOLUTE) SCALE H Thermometer 2 Ar T in oC N Pg 2 O2 gas -273 oC (0 K) Absolute pressure P This absolute 0K cannot be obtatined (Pg+Patm) since it violates third law. -
On the Feynman Ratchet and the Brownian Motor
Open Journal of Biophysics, 2018, 8, 22-30 http://www.scirp.org/journal/ojbiphy ISSN Online: 2164-5396 ISSN Print: 2164-5388 On the Feynman Ratchet and the Brownian Motor Gyula Vincze1, Gyula Peter Szigeti2, Andras Szasz1 1Department of Biotechnics, St. Istvan University, Budapest, Hungary 2Institute of Human Physiology and Clinical Experimental Research, Semmelweis University, Budapest, Hungary How to cite this paper: Vincze, Gy., Szige- Abstract ti, Gy.P. and Szasz, A. (2018) On the Feyn- man Ratchet and the Brownian Motor. Open We study the Brownian ratchet conditions starting with Feynman’s proposal. Journal of Biophysics, 8, 22-30. We show that this proposal is incomplete, and is in fact non-workable. We https://doi.org/10.4236/ojbiphy.2018.81003 give the correct model for this ratchet. Received: October 18, 2017 Accepted: January 7, 2018 Keywords Published: January 10, 2018 Brownian Motor, Feynman Ratchet, Self-Sustaining Oscillation Copyright © 2018 by authors and Scientific Research Publishing Inc. This work is licensed under the Creative Commons Attribution International 1. Introduction License (CC BY 4.0). http://creativecommons.org/licenses/by/4.0/ The theory of material transport driven by fluctuations was worked out to ex- Open Access plain motor proteins [1]. These molecular motors constrain the motion domi- nantly in one-dimensional surmount energy wells and barriers. While the ob- stacles limit diffusion, thermal noise is a part of the thermal activation [2]. The directed motion is energized by the fluctuations of the height of the barrier, de- pending on the external modulation, and is coupled to the ATP-hydrolysis as a chemical energy source.