Nonequilibrium Thermodynamics of open driven systems

Size: px
Start display at page:

Download "Nonequilibrium Thermodynamics of open driven systems"

Transcription

1 1 Boynam Otal Imagng Center (BIOPIC) 2 Beng Internatonal Center for Matematal Resear (BICMR) Peng Unversty, Cna Nonequlbrum ermoynams of oen rven systems Hao Ge

2 A sngle boemal reaton yle B + AP 1 C + ADP (1) 1 B + P 2 C (2) 2 Equlbrum onton: eq [ AP] eq [ ADP] [ P ] eq

3 QSS v.s. NESS Very slowly angng [AP], [ADP] an [P] Quas-steay-state (QSS) Close system e emal nets of te nternal system (B+C) are te same. Any new termoynams? Nonequlbrum steay state (NESS)

4 Heat aton After an nternal lowse yle, te tratonal eat aton urng AP yroly ( ) ( + + ) B AP AP ADP C P. ADP C P B

5 ermoynams of a lose sotermal system Close system F t S t lose lose e f lose lose e f lose lose ; lose.. Gbbs states free energy never nrease n a lose, sotermal system; wle Prgogne states tat te entroy routon s non-negatve n an oen system. ey are equvalent.

6 As a subsystem of te lose larger system S t B, C Close system e lose lose + S AP, ADP, P Heat aton oul not be nferre ust from te nternal emal nets, regarle of te onrete meansm tat ow te nternal system s oule wt te surrounngs. t.

7 Wt regeneratng system Oen rven system: regeneratng system eeng te onentratons of AP, ADP an P γ 1 2[ AP] [ ADP] [ P ] 1 2 1

8 ere s an external ste for te regeneratng system onvertng ADP+P ba to AP after ea omleton of a nternal reaton yle. e mnmum wor (non-pv) t as to o s ust te free energy fferene between ADP+P an AP,.e. W µ µ µ mn AP ADP e total eat aton of su a reaton yle s Extra eat aton + ext W Drven energy nut of te nternal system e extra eat aton mn B ext W mn P ( AP ADP logγ. Dretly nterrete from te emal nets of te nternal system P )

9 Master equaton moel esrbng te nternal system Conser a motor roten wt N fferent onformatons R 1,R 2,,R N. s te frst-orer or seuo-frst-orer rate onstants for te reaton R R. No matter startng from any ntal strbuton, t wll fnally aroa ts statonary strbuton satsfyng N 1 ( ) ( t) t ( Self-aembly or self-organzaton ) eq eq Detale balane (equlbrum state)

10 Coule wt energy soure Aume only one of te transton s nvolve n te energy soure,.e. AP an ADP. ~ ~ 12 12[ AP], 21 21[ ADP] ermoynam onstrans µ µ 1 µ + µ B log µ µ 2 D ; µ B µ D ~ log ~ B log eq D eq,

11 Heat aton oen ( t) B > + B ( )( ( t) ( t) ) ( ( t) ( t) )( µ µ ) D In te NESS ne B > ( ) log. Solely eenent on te equaton of nternal ynams. 1 st Law: Energy nut (mnmum wor)eat ate

12 Energy transuton effeny A meanal system oule fully reversbly to a emal reatons, wt a onstant fore retng te meanal movement rven by te emal graent. Energy Inut (Cemal) ne + or Energy Inut (Meanal) ne + Energy Outut (Meanal) Energy Outut (Cemal) Energy outut Energy outut η ne Energy nut + Energy outut 1 e ne ne

13 Mesoso termoynam fores n NESS e eat aton for ea onformaton transton s ( Q log ) B + s s e steay-state entroy fferene S B log + s ermoynam fore for su a transton A Q + S B log Q + (Clausus equalty) etale balane! S s

14 Deomoston of mesoso termoynam fores A log B A + δa δa B log B log Entroy routon Houseeeng eat Free energy aton e oen Q > ( t) J A ( ) t J A > f ( ) t J δa > oen e Q + f

15 Wat s f? F F t B Relatve entroy f log Generalze Free energy

16 wo orgns of rreversblty f, Q, e f + Q. e araterzes total tme rreversblty n a Marov roe. Wen system reaes statonary, f. Wen system s lose (.e., no atve energy rve, etale balane) Q. Boltzmann: f e > but Q ; Prgogne (Bruel sool, NESS): Q e > but f. f n rven systems s self-organzaton.

17 QSS v.s. NESS S t lose e lose lose. Close system e lose e oen S t oen e oen oen lose oen

18 wo ns of Seon Law S t e S f ( Q ) t S t ( e ) S t ( ) Q ( f ) In etale-balane ase, tey are equvalent. e f, Q In non-etale balane ase, te new one s stronger tan te tratonal one.

19 Summary Regeneratng system aroa woul stngus quateay-state an nonequlbrum-steay-state, an suly an equlbrum termoynam founaton for te exreon of eat aton n nonequlbrum steay state of subsystems, wtout te nee to now envronment ; s new ersetve yels an extene Seon Law, w emerges only from rven ynams wt external regeneratng system. Hene te NESS ersetve suggests new ngreents for te nonequlbrum termoynams. A omreensve framewor for bot equlbrum an nonequlbrum statstal means s roose (sotermal).

20 Anowlegement Prof. Hong Qan Unversty of Wasngton Deartment of Ale Matemats

21 ans for your attenton!

22 Evoluton of entroy System Meum S tot Ssystem + Smeum S system S S e wo fferent ersetves er S Stot J X S, S e an S tot, rater tan S, S e an S tot are te state funtons of te nternal system. Detale balane J X Generalze flux Generalze fore I. Prgogne: Introuton to termoynams of rreversble roees. 3 r e. (1967).L. Hll: Free energy transuton n bology. (1977)

Physics 41 Chapter 22 HW Serway 7 th Edition

Physics 41 Chapter 22 HW Serway 7 th Edition yss 41 apter H Serway 7 t Edton oneptual uestons: 1,, 8, 1 roblems: 9, 1, 0,, 7, 9, 48, 54, 55 oneptual uestons: 1,, 8, 1 1 Frst, te effeny of te automoble engne annot exeed te arnot effeny: t s lmted

More information

Thermodynamics Second Law Entropy

Thermodynamics Second Law Entropy Thermodynamcs Second Law Entropy Lana Sherdan De Anza College May 8, 2018 Last tme the Boltzmann dstrbuton (dstrbuton of energes) the Maxwell-Boltzmann dstrbuton (dstrbuton of speeds) the Second Law of

More information

11/19/2013. PHY 113 C General Physics I 11 AM 12:15 PM MWF Olin 101

11/19/2013. PHY 113 C General Physics I 11 AM 12:15 PM MWF Olin 101 PHY 113 C General Pyss I 11 AM 12:15 PM MWF Oln 101 Plan or Leture 23: Capter 22: Heat engnes 1. ermodynam yles; work and eat eeny 2. Carnot yle 3. Otto yle; desel yle 4. Bre omments on entropy 11/19/2013

More information

ECE 522 Power Systems Analysis II 2 Power System Modeling

ECE 522 Power Systems Analysis II 2 Power System Modeling ECE 522 Power Systems Analyss II 2 Power System Moelng Sprng 218 Instrutor: Ka Sun 1 Outlne 2.1 Moelng of synhronous generators for Stablty Stues Synhronous Mahne Moelng Smplfe Moels for Stablty Stues

More information

P REVIEW NOTES

P REVIEW NOTES P34 - REIEW NOTES Capter 1 Energy n Termal Pyss termal equlbrum & relaxaton tme temperature & termometry: fxed ponts, absolute temperature sale P = nrt deal gas law: ( ) ( T ) ( / n) C( T ) ( ) + / n vral

More information

Competitive Experimentation and Private Information

Competitive Experimentation and Private Information Compettve Expermentaton an Prvate Informaton Guseppe Moscarn an Francesco Squntan Omtte Analyss not Submtte for Publcaton Dervatons for te Gamma-Exponental Moel Dervaton of expecte azar rates. By Bayes

More information

ECE 422 Power System Operations & Planning 2 Synchronous Machine Modeling

ECE 422 Power System Operations & Planning 2 Synchronous Machine Modeling ECE 422 Power System Operatons & Plannng 2 Synhronous Mahne Moelng Sprng 219 Instrutor: Ka Sun 1 Outlne 2.1 Moelng of synhronous generators for Stablty Stues Synhronous Mahne Moelng Smplfe Moels for Stablty

More information

18. Heat Engine, Entropy and the second law of thermodynamics

18. Heat Engine, Entropy and the second law of thermodynamics 8. Heat Engne, Entropy and te seond law o terodynas In nature, ost o proesses are rreversble. due to te seond Law o terodynas Heat alwasys lows ro Hot to old. 8-. Heat Engne and te eond Law o erodynas

More information

Chapter 18: The Laws of Thermodynamics

Chapter 18: The Laws of Thermodynamics Capter 18: e Laws o ermodynams Answers to Even-Numbered Coneptual uestons. (a) Yes. Heat an low nto te system at te same tme te system expands, as n an sotermal expanson o a gas. (b) Yes. Heat an low out

More information

BINARY LAMBDA-SET FUNCTION AND RELIABILITY OF AIRLINE

BINARY LAMBDA-SET FUNCTION AND RELIABILITY OF AIRLINE BINARY LAMBDA-SET FUNTION AND RELIABILITY OF AIRLINE Y. Paramonov, S. Tretyakov, M. Hauka Ra Tehnal Unversty, Aeronautal Insttute, Ra, Latva e-mal: yur.paramonov@mal.om serejs.tretjakovs@mal.om mars.hauka@mal.om

More information

Introduction to Statistical Methods

Introduction to Statistical Methods Introducton to Statstcal Methods Physcs 4362, Lecture #3 hermodynamcs Classcal Statstcal Knetc heory Classcal hermodynamcs Macroscopc approach General propertes of the system Macroscopc varables 1 hermodynamc

More information

Optimal Control of Transitions between Nonequilibrium Steady States

Optimal Control of Transitions between Nonequilibrium Steady States Optmal Control of Transtons between Nonequlbrum Steay States Patr R. Zulows,2 *, Dav A. Sva 3, Mael R. DeWeese,2,4 Department of Pyss, Unversty of Calforna, Bereley, Calforna, Unte States of Amera, 2 Rewoo

More information

Numerical modeling of a non-linear viscous flow in order to determine how parameters in constitutive relations influence the entropy production

Numerical modeling of a non-linear viscous flow in order to determine how parameters in constitutive relations influence the entropy production Technsche Unverstät Berln Fakultät für Verkehrs- un Maschnensysteme, Insttut für Mechank Lehrstuhl für Kontnuumsmechank un Materaltheore, Prof. W.H. Müller Numercal moelng of a non-lnear vscous flow n

More information

High-Order Hamilton s Principle and the Hamilton s Principle of High-Order Lagrangian Function

High-Order Hamilton s Principle and the Hamilton s Principle of High-Order Lagrangian Function Commun. Theor. Phys. Bejng, Chna 49 008 pp. 97 30 c Chnese Physcal Socety Vol. 49, No., February 15, 008 Hgh-Orer Hamlton s Prncple an the Hamlton s Prncple of Hgh-Orer Lagrangan Functon ZHAO Hong-Xa an

More information

Review of Classical Thermodynamics

Review of Classical Thermodynamics Revew of Classcal hermodynamcs Physcs 4362, Lecture #1, 2 Syllabus What s hermodynamcs? 1 [A law] s more mpressve the greater the smplcty of ts premses, the more dfferent are the knds of thngs t relates,

More information

Chapter 6 Second Law of Thermodynamics

Chapter 6 Second Law of Thermodynamics Capter 6 Second Law o Termodynamcs Te rst law o termodynamcs s an energy conservaton statement. It determnes weter or not a process can take place energetcally. It does not tell n wc drecton te process

More information

Scientific Research of the Institute of Mathematics and Computer Science 1(11) 2012, 23-30

Scientific Research of the Institute of Mathematics and Computer Science 1(11) 2012, 23-30 Please te ts artle as: Grażyna Kałuża, Te numeral soluton of te transent eat onduton roblem usng te latte Boltzmann metod, Sentf Resear of te Insttute of Matemats and Comuter Sene,, Volume, Issue, ages

More information

Entropy production in irreversible systems described by a Fokker-Planck equation

Entropy production in irreversible systems described by a Fokker-Planck equation Entropy proucton n rreversble systems escrbe by a Fokker-Planck equaton Tâna Tomé an Máro J. e Olvera Insttuto e Físca Unversae e São Paulo Caxa postal 66318 05314-970 São Paulo- SP, Brazl (Date: July

More information

Voltammetry. Bulk electrolysis: relatively large electrodes (on the order of cm 2 ) Voltammetry:

Voltammetry. Bulk electrolysis: relatively large electrodes (on the order of cm 2 ) Voltammetry: Voltammetry varety of eletroanalytal methods rely on the applaton of a potental funton to an eletrode wth the measurement of the resultng urrent n the ell. In ontrast wth bul eletrolyss methods, the objetve

More information

Not-for-Publication Appendix to Optimal Asymptotic Least Aquares Estimation in a Singular Set-up

Not-for-Publication Appendix to Optimal Asymptotic Least Aquares Estimation in a Singular Set-up Not-for-Publcaton Aendx to Otmal Asymtotc Least Aquares Estmaton n a Sngular Set-u Antono Dez de los Ros Bank of Canada dezbankofcanada.ca December 214 A Proof of Proostons A.1 Proof of Prooston 1 Ts roof

More information

Physics 3A: Linear Momentum. Physics 3A: Linear Momentum. Physics 3A: Linear Momentum. Physics 3A: Linear Momentum

Physics 3A: Linear Momentum. Physics 3A: Linear Momentum. Physics 3A: Linear Momentum. Physics 3A: Linear Momentum Recall that there was ore to oton than just spee A ore coplete escrpton of oton s the concept of lnear oentu: p v (8.) Beng a prouct of a scalar () an a vector (v), oentu s a vector: p v p y v y p z v

More information

ON THE CURENT DENSITY AND OVERTENSION SIGNS II. THE CASE OF THE MULTI-ELECTRODIC INTERFACE

ON THE CURENT DENSITY AND OVERTENSION SIGNS II. THE CASE OF THE MULTI-ELECTRODIC INTERFACE ON HE CUREN DENSIY AND OVERENSION SIGNS II. HE CASE OF HE MULI-ELECRODIC INERFACE C. Mhalcuc an S. Lupu abstract: For a spontaneous electroe reacton the entropy proucton an the current ensty across the

More information

Multicomponent Flows (continued)

Multicomponent Flows (continued) Mole Fraton Temerature (K) Transort Shool of Aerosae Engneerng Equatons for Multomonent Flows (ontnue) Jerry Setzman 0.2 2500 0.15 2000 0.1 0.05 0 CH4 H2O HCO x 1000 Temerature Methane Flame 0 0.1 0.2

More information

A quote of the week (or camel of the week): There is no expedience to which a man will not go to avoid the labor of thinking. Thomas A.

A quote of the week (or camel of the week): There is no expedience to which a man will not go to avoid the labor of thinking. Thomas A. A quote of the week (or camel of the week): here s no expedence to whch a man wll not go to avod the labor of thnkng. homas A. Edson Hess law. Algorthm S Select a reacton, possbly contanng specfc compounds

More information

Entropy Production in Nonequilibrium Systems Described by a Fokker-Planck Equation

Entropy Production in Nonequilibrium Systems Described by a Fokker-Planck Equation Brazlan Journal of Physcs, vol. 36, no. 4A, December, 2006 1285 Entropy Proucton n Nonequlbrum Systems Descrbe by a Fokker-Planck Equaton Tâna Tomé Insttuto e Físca Unversae e São Paulo Caxa postal 66318

More information

On Pfaff s solution of the Pfaff problem

On Pfaff s solution of the Pfaff problem Zur Pfaff scen Lösung des Pfaff scen Probles Mat. Ann. 7 (880) 53-530. On Pfaff s soluton of te Pfaff proble By A. MAYER n Lepzg Translated by D. H. Delpenc Te way tat Pfaff adopted for te ntegraton of

More information

EF 152 Exam #3, Fall, 2012 Page 1 of 6

EF 152 Exam #3, Fall, 2012 Page 1 of 6 EF 5 Exam #3, Fall, 0 Page of 6 Name: Setion: Guidelines: ssume 3 signifiant figures for all given numbers. Sow all of your work no work, no redit Write your final answer in te box provided - inlude units

More information

Non-negative Matrices and Distributed Control

Non-negative Matrices and Distributed Control Non-negatve Matrces an Dstrbute Control Yln Mo July 2, 2015 We moel a network compose of m agents as a graph G = {V, E}. V = {1, 2,..., m} s the set of vertces representng the agents. E V V s the set of

More information

A Theorem of Mass Being Derived From Electrical Standing Waves (As Applied to Jean Louis Naudin's Test)

A Theorem of Mass Being Derived From Electrical Standing Waves (As Applied to Jean Louis Naudin's Test) A Theorem of Mass Beng Derved From Eletral Standng Waves (As Appled to Jean Lous Naudn's Test) - by - Jerry E Bayles Aprl 4, 000 Ths paper formalzes a onept presented n my book, "Eletrogravtaton As A Unfed

More information

Maximum work for Carnot-like heat engines with infinite heat source

Maximum work for Carnot-like heat engines with infinite heat source Maximum work for arnot-like eat engines wit infinite eat soure Rui Long and Wei Liu* Sool of Energy and Power Engineering, Huazong University of Siene and enology, Wuan 4374, ina orresponding autor: Wei

More information

p(z) = 1 a e z/a 1(z 0) yi a i x (1/a) exp y i a i x a i=1 n i=1 (y i a i x) inf 1 (y Ax) inf Ax y (1 ν) y if A (1 ν) = 0 otherwise

p(z) = 1 a e z/a 1(z 0) yi a i x (1/a) exp y i a i x a i=1 n i=1 (y i a i x) inf 1 (y Ax) inf Ax y (1 ν) y if A (1 ν) = 0 otherwise Dustn Lennon Math 582 Convex Optmzaton Problems from Boy, Chapter 7 Problem 7.1 Solve the MLE problem when the nose s exponentally strbute wth ensty p(z = 1 a e z/a 1(z 0 The MLE s gven by the followng:

More information

PHYS 705: Classical Mechanics. Newtonian Mechanics

PHYS 705: Classical Mechanics. Newtonian Mechanics 1 PHYS 705: Classcal Mechancs Newtonan Mechancs Quck Revew of Newtonan Mechancs Basc Descrpton: -An dealzed pont partcle or a system of pont partcles n an nertal reference frame [Rgd bodes (ch. 5 later)]

More information

Gravity Drainage Prior to Cake Filtration

Gravity Drainage Prior to Cake Filtration 1 Gravty Dranage Pror to ake Fltraton Sott A. Wells and Gregory K. Savage Department of vl Engneerng Portland State Unversty Portland, Oregon 97207-0751 Voe (503) 725-4276 Fax (503) 725-4298 ttp://www.e.pdx.edu/~wellss

More information

1.72, Groundwater Hydrology Prof. Charles Harvey Lecture Packet #9: Numerical Modeling of Groundwater Flow

1.72, Groundwater Hydrology Prof. Charles Harvey Lecture Packet #9: Numerical Modeling of Groundwater Flow 1.7, Groundwater Hydrology Prof. Carles Harvey Lecture Packet #9: Numerical Modeling of Groundwater Flow Simulation: Te prediction of quantities of interest (dependent variables) based upon an equation

More information

Irreversibility of Processes in Closed System

Irreversibility of Processes in Closed System Unversty of Segen Insttute of Flud- & hermodynamcs 5 2/1 Irreversblty of Processes n Closed System m G 2 m c 2 2, p, V m g h h 1 mc 1 1 p, p, V G J.P. Joule Strrng experment v J.B. Fourer Heat transfer

More information

PHYSICS 212 MIDTERM II 19 February 2003

PHYSICS 212 MIDTERM II 19 February 2003 PHYSICS 1 MIDERM II 19 Feruary 003 Exam s losed ook, losed notes. Use only your formula sheet. Wrte all work and answers n exam ooklets. he aks of pages wll not e graded unless you so request on the front

More information

Army Ants Tunneling for Classical Simulations

Army Ants Tunneling for Classical Simulations Electronc Supplementary Materal (ESI) for Chemcal Scence. Ths journal s The Royal Socety of Chemstry 2014 electronc supplementary nformaton (ESI) for Chemcal Scence Army Ants Tunnelng for Classcal Smulatons

More information

6. Stochastic processes (2)

6. Stochastic processes (2) Contents Markov processes Brth-death processes Lect6.ppt S-38.45 - Introducton to Teletraffc Theory Sprng 5 Markov process Consder a contnuous-tme and dscrete-state stochastc process X(t) wth state space

More information

Maximum entropy & maximum entropy production in biological systems: survival of the likeliest?

Maximum entropy & maximum entropy production in biological systems: survival of the likeliest? Maxmum entropy & maxmum entropy producton n bologcal systems: survval of the lkelest? Roderck Dewar Research School of Bology The Australan Natonal Unversty, Canberra Informaton and Entropy n Bologcal

More information

Managing Capacity Through Reward Programs. on-line companion page. Byung-Do Kim Seoul National University College of Business Administration

Managing Capacity Through Reward Programs. on-line companion page. Byung-Do Kim Seoul National University College of Business Administration Managng Caacty Through eward Programs on-lne comanon age Byung-Do Km Seoul Natonal Unversty College of Busness Admnstraton Mengze Sh Unversty of Toronto otman School of Management Toronto ON M5S E6 Canada

More information

6. Stochastic processes (2)

6. Stochastic processes (2) 6. Stochastc processes () Lect6.ppt S-38.45 - Introducton to Teletraffc Theory Sprng 5 6. Stochastc processes () Contents Markov processes Brth-death processes 6. Stochastc processes () Markov process

More information

A Theorem of Mass Being Derived From Electrical Standing Waves (As Applied to Jean Louis Naudin's Test)

A Theorem of Mass Being Derived From Electrical Standing Waves (As Applied to Jean Louis Naudin's Test) A Theorem of Mass Beng Derved From Eletral Standng Waves (As Appled to Jean Lous Naudn's Test) - by - Jerry E Bayles Aprl 5, 000 Ths Analyss Proposes The Neessary Changes Requred For A Workng Test Ths

More information

Non-Ideality Through Fugacity and Activity

Non-Ideality Through Fugacity and Activity Non-Idealty Through Fugacty and Actvty S. Patel Deartment of Chemstry and Bochemstry, Unversty of Delaware, Newark, Delaware 19716, USA Corresondng author. E-mal: saatel@udel.edu 1 I. FUGACITY In ths dscusson,

More information

General Formulas applicable to ALL processes in an Ideal Gas:

General Formulas applicable to ALL processes in an Ideal Gas: Calormetrc calculatons: dq mcd or dq ncd ( specc heat) Q ml ( latent heat) General Formulas applcable to ALL processes n an Ideal Gas: P nr du dq dw dw Pd du nc d C R ( monoatomc) C C R P Specc Processes:

More information

Some remarks about the transformation of Charnes and Cooper by Ezio Marchi *)

Some remarks about the transformation of Charnes and Cooper by Ezio Marchi *) Some remars about the transformaton of Charnes an Cooper b Eo Marh * Abstrat In ths paper we eten n a smple wa the transformaton of Charnes an Cooper to the ase where the funtonal rato to be onsere are

More information

160 Chapter 3: Differentiation

160 Chapter 3: Differentiation 3. Differentiation Rules 159 3. Differentiation Rules Tis section introuces a few rules tat allow us to ifferentiate a great variety of functions. By proving tese rules ere, we can ifferentiate functions

More information

Class: Life-Science Subject: Physics

Class: Life-Science Subject: Physics Class: Lfe-Scence Subject: Physcs Frst year (6 pts): Graphc desgn of an energy exchange A partcle (B) of ass =g oves on an nclned plane of an nclned angle α = 3 relatve to the horzontal. We want to study

More information

Lecture 26 Finite Differences and Boundary Value Problems

Lecture 26 Finite Differences and Boundary Value Problems 4//3 Leture 6 Fnte erenes and Boundar Value Problems Numeral derentaton A nte derene s an appromaton o a dervatve - eample erved rom Talor seres 3 O! Negletng all terms ger tan rst order O O Tat s te orward

More information

Exercise 10: Theory of mass transfer coefficient at boundary

Exercise 10: Theory of mass transfer coefficient at boundary Partle Tehnology Laboratory Prof. Sotrs E. Pratsns Sonneggstrasse, ML F, ETH Zentrum Tel.: +--6 5 http://www.ptl.ethz.h 5-97- U Stoffaustaush HS 7 Exerse : Theory of mass transfer oeffent at boundary Chapter,

More information

e a = 12.4 i a = 13.5i h a = xi + yj 3 a Let r a = 25cos(20) i + 25sin(20) j b = 15cos(55) i + 15sin(55) j

e a = 12.4 i a = 13.5i h a = xi + yj 3 a Let r a = 25cos(20) i + 25sin(20) j b = 15cos(55) i + 15sin(55) j Vetors MC Qld-3 49 Chapter 3 Vetors Exerse 3A Revew of vetors a d e f e a x + y omponent: x a os(θ 6 os(80 + 39 6 os(9.4 omponent: y a sn(θ 6 sn(9 0. a.4 0. f a x + y omponent: x a os(θ 5 os( 5 3.6 omponent:

More information

3. MODELING OF PARALLEL THREE-PHASE CURRENT-UNIDIRECTIONAL CONVERTERS 3. MODELING OF PARALLEL THREE-PHASE CURRENT-

3. MODELING OF PARALLEL THREE-PHASE CURRENT-UNIDIRECTIONAL CONVERTERS 3. MODELING OF PARALLEL THREE-PHASE CURRENT- 3. MOEING OF PARAE THREE-PHASE URRENT-UNIIRETIONA ONERTERS 3. MOEING OF PARAE THREE-PHASE URRENT- UNIIRETIONA ONERTERS Ths chater eelos the moels of the arallel three-hase current-unrectonal swtch base

More information

A First Course on Kinetics and Reaction Engineering Unit 17. Reactor Models and Reaction Types

A First Course on Kinetics and Reaction Engineering Unit 17. Reactor Models and Reaction Types Unt 17. Reactor Moels an Reacton Types Overvew The focus of Part II of ths course was the moelng of reacton rates. Ths unt s the ntroucton to Part III where chemcal reacton engneerng s the focus. It ntrouces

More information

An application of generalized Tsalli s-havrda-charvat entropy in coding theory through a generalization of Kraft inequality

An application of generalized Tsalli s-havrda-charvat entropy in coding theory through a generalization of Kraft inequality Internatonal Journal of Statstcs and Aled Mathematcs 206; (4): 0-05 ISS: 2456-452 Maths 206; (4): 0-05 206 Stats & Maths wwwmathsjournalcom Receved: 0-09-206 Acceted: 02-0-206 Maharsh Markendeshwar Unversty,

More information

Physics 5153 Classical Mechanics. Principle of Virtual Work-1

Physics 5153 Classical Mechanics. Principle of Virtual Work-1 P. Guterrez 1 Introducton Physcs 5153 Classcal Mechancs Prncple of Vrtual Work The frst varatonal prncple we encounter n mechancs s the prncple of vrtual work. It establshes the equlbrum condton of a mechancal

More information

Main components of the above cycle are: 1) Boiler (steam generator) heat exchanger 2) Turbine generates work 3) Condenser heat exchanger 4) Pump

Main components of the above cycle are: 1) Boiler (steam generator) heat exchanger 2) Turbine generates work 3) Condenser heat exchanger 4) Pump Introducton to Terodynacs, Lecture -5 Pro. G. Cccarell (0 Applcaton o Control olue Energy Analyss Most terodynac devces consst o a seres o coponents operatng n a cycle, e.g., stea power plant Man coponents

More information

Math 324 Advanced Financial Mathematics Spring 2008 Final Exam Solutions May 2, 2008

Math 324 Advanced Financial Mathematics Spring 2008 Final Exam Solutions May 2, 2008 Mat 324 Advanced Fnancal Matematcs Sprng 28 Fnal Exam Solutons May 2, 28 Ts s an open book take-ome exam. You may work wt textbooks and notes but do not consult any oter person. Sow all of your work and

More information

ECE 6340 Intermediate EM Waves. Fall Prof. David R. Jackson Dept. of ECE. Notes 3

ECE 6340 Intermediate EM Waves. Fall Prof. David R. Jackson Dept. of ECE. Notes 3 C 634 Intermedate M Waves Fall 216 Prof. Davd R. akson Dept. of C Notes 3 1 Types of Current ρ v Note: The free-harge densty ρ v refers to those harge arrers (ether postve or negatve) that are free to

More information

arxiv:quant-ph/ v1 6 Jun 2003

arxiv:quant-ph/ v1 6 Jun 2003 Quantum jumps an entropy proucton Henz Peter Breuer Fachberech Physk, Carl von Ossetzky Unverstät, D-6111 Olenburg, Germany an Physkalsches Insttut, Unverstät Freburg, D-79104 Freburg, Germany Date: November

More information

arxiv:math.nt/ v1 16 Feb 2005

arxiv:math.nt/ v1 16 Feb 2005 A NOTE ON q-bernoulli NUMBERS AND POLYNOMIALS arv:math.nt/0502333 v1 16 Feb 2005 Taekyun Km Insttute of Scence Eucaton, Kongju Natonal Unversty, Kongju 314-701, S. Korea Abstract. By usng q-ntegraton,

More information

Conservation of Angular Momentum = "Spin"

Conservation of Angular Momentum = Spin Page 1 of 6 Conservaton of Angular Momentum = "Spn" We can assgn a drecton to the angular velocty: drecton of = drecton of axs + rght hand rule (wth rght hand, curl fngers n drecton of rotaton, thumb ponts

More information

Chapter 8. Potential Energy and Conservation of Energy

Chapter 8. Potential Energy and Conservation of Energy Chapter 8 Potental Energy and Conservaton of Energy In ths chapter we wll ntroduce the followng concepts: Potental Energy Conservatve and non-conservatve forces Mechancal Energy Conservaton of Mechancal

More information

Conservative ensembles for nonequilibrium lattice-gas systems

Conservative ensembles for nonequilibrium lattice-gas systems Eur. Phys. J. B 64, 409 414 (2008) DOI: 10.1140/epb/e2008-00156-3 THE EUROPEAN PHYSICAL JOURNAL B Conservatve ensembles for nonequlbrum lattce-gas systems M.J. e Olvera a an T. Tomé Insttuto e Físca, Unversae

More information

ACCESS TO SCIENCE, ENGINEERING AND AGRICULTURE: MATHEMATICS 1 MATH00030 SEMESTER /2019

ACCESS TO SCIENCE, ENGINEERING AND AGRICULTURE: MATHEMATICS 1 MATH00030 SEMESTER /2019 ACCESS TO SCIENCE, ENGINEERING AND AGRICULTURE: MATHEMATICS MATH00030 SEMESTER 208/209 DR. ANTHONY BROWN 6. Differential Calculus 6.. Differentiation from First Principles. In tis capter, we will introduce

More information

COMP4630: λ-calculus

COMP4630: λ-calculus COMP4630: λ-calculus 4. Standardsaton Mcael Norrs Mcael.Norrs@ncta.com.au Canberra Researc Lab., NICTA Semester 2, 2015 Last Tme Confluence Te property tat dvergent evaluatons can rejon one anoter Proof

More information

1/8 conduct2d-square-pipe.xmcd

1/8 conduct2d-square-pipe.xmcd 1/8 conuctd-square-pipe.xmc Heat conuction in a square pipe, wit an outer sie of L1 unit lengt an an inner sie of wl//0.5 unit lengt. Case a) e outer wall is at a constant temperature of out 1 an te inner

More information

Mechanics Physics 151

Mechanics Physics 151 Mechancs Physcs 5 Lecture 3 Contnuous Systems an Fels (Chapter 3) Where Are We Now? We ve fnshe all the essentals Fnal wll cover Lectures through Last two lectures: Classcal Fel Theory Start wth wave equatons

More information

Lecture 27: Entropy and Information Prof. WAN, Xin

Lecture 27: Entropy and Information Prof. WAN, Xin General Pysis I Leture 27: Entropy and Information Prof. WAN, Xin xinwan@zju.edu.n ttp://zimp.zju.edu.n/~xinwan/ 1st & 2nd Laws of ermodynamis e 1st law speifies tat we annot get more energy out of a yli

More information

Hopfield networks and Boltzmann machines. Geoffrey Hinton et al. Presented by Tambet Matiisen

Hopfield networks and Boltzmann machines. Geoffrey Hinton et al. Presented by Tambet Matiisen Hopfeld networks and Boltzmann machnes Geoffrey Hnton et al. Presented by Tambet Matsen 18.11.2014 Hopfeld network Bnary unts Symmetrcal connectons http://www.nnwj.de/hopfeld-net.html Energy functon The

More information

Lecture 4. Heritability. Heritability: An Intuitive Approach First Definition

Lecture 4. Heritability. Heritability: An Intuitive Approach First Definition Lecture Hertablty Hertablty: n Intutve pproac Frst enton Broa Sense: Proporton o te penotypc varaton ue to genetc causes H G Y Narro Sense: Proporton o te penotypc varaton ue to atve genetc eects Y Useul

More information

Distance-Based Approaches to Inferring Phylogenetic Trees

Distance-Based Approaches to Inferring Phylogenetic Trees Dstance-Base Approaches to Inferrng Phylogenetc Trees BMI/CS 576 www.bostat.wsc.eu/bm576.html Mark Craven craven@bostat.wsc.eu Fall 0 Representng stances n roote an unroote trees st(a,c) = 8 st(a,d) =

More information

Robustness of the Second Law of Thermodynamics under Generalizations of the Maximum Entropy Method

Robustness of the Second Law of Thermodynamics under Generalizations of the Maximum Entropy Method Robustness of the Second Law of Thermodynamcs under Generalzatons of the Maxmum Entropy Method Sumyosh Abe Stefan Thurner SFI WORKING PAPER: 2007-08-023 SFI Workng Papers contan accounts of scentfc work

More information

Physics 207 Lecture 23

Physics 207 Lecture 23 ysics 07 Lecture ysics 07, Lecture 8, Dec. Agenda:. Finis, Start. Ideal gas at te molecular level, Internal Energy Molar Specific Heat ( = m c = n ) Ideal Molar Heat apacity (and U int = + W) onstant :

More information

Controller Design for Networked Control Systems in Multiple-packet Transmission with Random Delays

Controller Design for Networked Control Systems in Multiple-packet Transmission with Random Delays Appled Mehans and Materals Onlne: 03-0- ISSN: 66-748, Vols. 78-80, pp 60-604 do:0.408/www.sentf.net/amm.78-80.60 03 rans eh Publatons, Swtzerland H Controller Desgn for Networed Control Systems n Multple-paet

More information

Departure Process from a M/M/m/ Queue

Departure Process from a M/M/m/ Queue Dearture rocess fro a M/M// Queue Q - (-) Q Q3 Q4 (-) Knowledge of the nature of the dearture rocess fro a queue would be useful as we can then use t to analyze sle cases of queueng networs as shown. The

More information

Rules of Differentiation

Rules of Differentiation LECTURE 2 Rules of Differentiation At te en of Capter 2, we finally arrive at te following efinition of te erivative of a function f f x + f x x := x 0 oing so only after an extene iscussion as wat te

More information

Kinematics of Fluid Motion

Kinematics of Fluid Motion Knematcs of Flu Moton R. Shankar Subramanan Department of Chemcal an Bomolecular Engneerng Clarkson Unversty Knematcs s the stuy of moton wthout ealng wth the forces that affect moton. The scusson here

More information

Wavelet chaotic neural networks and their application to continuous function optimization

Wavelet chaotic neural networks and their application to continuous function optimization Vol., No.3, 04-09 (009) do:0.436/ns.009.307 Natural Scence Wavelet chaotc neural networks and ther applcaton to contnuous functon optmzaton Ja-Ha Zhang, Yao-Qun Xu College of Electrcal and Automatc Engneerng,

More information

Homework Chapter 21 Solutions!!

Homework Chapter 21 Solutions!! Homework Chapter 1 Solutons 1.7 1.13 1.17 1.19 1.6 1.33 1.45 1.51 1.71 page 1 Problem 1.7 A mole sample of oxygen gas s confned to a 5 lter vessel at a pressure of 8 atm. Fnd the average translatonal knetc

More information

Novel dissipative properties for the master equation

Novel dissipative properties for the master equation Novel dssatve roertes for the master equaton Lu Hong 1, Chen Ja, Y Zhu 1, Wen-An Yong 1, 1 Zhou Pe-Yuan Center for Aled Mathematcs, Tsnghua Unversty, Bejng 100084, P.R. Chna Bejng Comutatonal Scence Research

More information

The Feynman path integral

The Feynman path integral The Feynman path ntegral Aprl 3, 205 Hesenberg and Schrödnger pctures The Schrödnger wave functon places the tme dependence of a physcal system n the state, ψ, t, where the state s a vector n Hlbert space

More information

1.050 Content overview Engineering Mechanics I Content overview. Outline and goals. Lecture 28

1.050 Content overview Engineering Mechanics I Content overview. Outline and goals. Lecture 28 .5 Content overvew.5 Engneerng Mechancs I Lecture 8 Introucton: Energy bouns n lnear elastcty (cont I. Dmensonal analyss. On monsters, mce an mushrooms Lectures -. Smlarty relatons: Important engneerng

More information

2012 IEEE International Symposium on Information Theory Proceedings

2012 IEEE International Symposium on Information Theory Proceedings On the Uncertanty of Informaton Retreval n Assocatve Memores Etan Yaaob an Jehoshua Bruc Electrcal Engneerng Department, Calforna Insttute of Technology, Pasaena, CA 9115, U.S.A Electrcal an Computer Engneerng

More information

Solution Set #3

Solution Set #3 5-55-7 Soluton Set #. Te varaton of refractve ndex wt wavelengt for a transarent substance (suc as glass) may be aroxmately reresented by te emrcal equaton due to Caucy: n [] A + were A and are emrcally

More information

Lesson 16: Basic Control Modes

Lesson 16: Basic Control Modes 0/8/05 Lesson 6: Basc Control Modes ET 438a Automatc Control Systems Technology lesson6et438a.tx Learnng Objectves Ater ths resentaton you wll be able to: Descrbe the common control modes used n analog

More information

Fuzzy approach to solve multi-objective capacitated transportation problem

Fuzzy approach to solve multi-objective capacitated transportation problem Internatonal Journal of Bonformatcs Research, ISSN: 0975 087, Volume, Issue, 00, -0-4 Fuzzy aroach to solve mult-objectve caactated transortaton roblem Lohgaonkar M. H. and Bajaj V. H.* * Deartment of

More information

Multivariate Ratio Estimator of the Population Total under Stratified Random Sampling

Multivariate Ratio Estimator of the Population Total under Stratified Random Sampling Open Journal of Statstcs, 0,, 300-304 ttp://dx.do.org/0.436/ojs.0.3036 Publsed Onlne July 0 (ttp://www.scrp.org/journal/ojs) Multvarate Rato Estmator of te Populaton Total under Stratfed Random Samplng

More information

( ) 2 ( ) ( ) Problem Set 4 Suggested Solutions. Problem 1

( ) 2 ( ) ( ) Problem Set 4 Suggested Solutions. Problem 1 Problem Set 4 Suggested Solutons Problem (A) The market demand functon s the soluton to the followng utlty-maxmzaton roblem (UMP): The Lagrangean: ( x, x, x ) = + max U x, x, x x x x st.. x + x + x y x,

More information

Notes on the function gsw_enthalpy_first_derivatives_ct_exact(sa,ct,p)

Notes on the function gsw_enthalpy_first_derivatives_ct_exact(sa,ct,p) Notes on gsw_entaly_first_derivatives_c_exact 1 Notes on te function gsw_entaly_first_derivatives_c_exact(c) is function gsw_entaly_first_derivatives_c_exact(c) evaluates two of te first order artial derivatives

More information

International Mathematical Olympiad. Preliminary Selection Contest 2012 Hong Kong. Outline of Solutions

International Mathematical Olympiad. Preliminary Selection Contest 2012 Hong Kong. Outline of Solutions Internatonal Mathematcal Olympad Prelmnary Selecton ontest Hong Kong Outlne of Solutons nswers: 7 4 7 4 6 5 9 6 99 7 6 6 9 5544 49 5 7 4 6765 5 6 6 7 6 944 9 Solutons: Snce n s a two-dgt number, we have

More information

Lecture 7: Boltzmann distribution & Thermodynamics of mixing

Lecture 7: Boltzmann distribution & Thermodynamics of mixing Prof. Tbbtt Lecture 7 etworks & Gels Lecture 7: Boltzmann dstrbuton & Thermodynamcs of mxng 1 Suggested readng Prof. Mark W. Tbbtt ETH Zürch 13 März 018 Molecular Drvng Forces Dll and Bromberg: Chapters

More information

Topics in Probability Theory and Stochastic Processes Steven R. Dunbar. Classes of States and Stationary Distributions

Topics in Probability Theory and Stochastic Processes Steven R. Dunbar. Classes of States and Stationary Distributions Steven R. Dunbar Department of Mathematcs 203 Avery Hall Unversty of Nebraska-Lncoln Lncoln, NE 68588-0130 http://www.math.unl.edu Voce: 402-472-3731 Fax: 402-472-8466 Topcs n Probablty Theory and Stochastc

More information

Physics 41 Chapter 22 HW

Physics 41 Chapter 22 HW Pysis 41 apter 22 H 1. eat ine performs 200 J of work in ea yle and as an effiieny of 30.0%. For ea yle, ow mu energy is (a) taken in and (b) expelled as eat? = = 200 J (1) e = 1 0.300 = = (2) From (2),

More information

, rst we solve te PDE's L ad L ad n g g (x) = ; = ; ; ; n () (x) = () Ten, we nd te uncton (x), te lnearzng eedbac and coordnates transormaton are gve

, rst we solve te PDE's L ad L ad n g g (x) = ; = ; ; ; n () (x) = () Ten, we nd te uncton (x), te lnearzng eedbac and coordnates transormaton are gve Freedom n Coordnates Transormaton or Exact Lnearzaton and ts Applcaton to Transent Beavor Improvement Kenj Fujmoto and Tosaru Suge Dvson o Appled Systems Scence, Kyoto Unversty, Uj, Kyoto, Japan suge@robotuassyoto-uacjp

More information

ENGN 40 Dynamics and Vibrations Homework # 7 Due: Friday, April 15

ENGN 40 Dynamics and Vibrations Homework # 7 Due: Friday, April 15 NGN 40 ynamcs and Vbratons Homework # 7 ue: Frday, Aprl 15 1. Consder a concal hostng drum used n the mnng ndustry to host a mass up/down. A cable of dameter d has the mass connected at one end and s wound/unwound

More information

Markov Chain Monte Carlo (MCMC), Gibbs Sampling, Metropolis Algorithms, and Simulated Annealing Bioinformatics Course Supplement

Markov Chain Monte Carlo (MCMC), Gibbs Sampling, Metropolis Algorithms, and Simulated Annealing Bioinformatics Course Supplement Markov Chan Monte Carlo MCMC, Gbbs Samplng, Metropols Algorthms, and Smulated Annealng 2001 Bonformatcs Course Supplement SNU Bontellgence Lab http://bsnuackr/ Outlne! Markov Chan Monte Carlo MCMC! Metropols-Hastngs

More information

Differentiation Rules c 2002 Donald Kreider and Dwight Lahr

Differentiation Rules c 2002 Donald Kreider and Dwight Lahr Dierentiation Rules c 00 Donal Kreier an Dwigt Lar Te Power Rule is an example o a ierentiation rule. For unctions o te orm x r, were r is a constant real number, we can simply write own te erivative rater

More information

ENTROPIC QUESTIONING

ENTROPIC QUESTIONING ENTROPIC QUESTIONING NACHUM. Introucton Goal. Pck the queston that contrbutes most to fnng a sutable prouct. Iea. Use an nformaton-theoretc measure. Bascs. Entropy (a non-negatve real number) measures

More information

University Mathematics 2

University Mathematics 2 University Matematics 2 1 Differentiability In tis section, we discuss te differentiability of functions. Definition 1.1 Differentiable function). Let f) be a function. We say tat f is differentiable at

More information

Entropy generation in a chemical reaction

Entropy generation in a chemical reaction Entropy generaton n a chemcal reacton E Mranda Área de Cencas Exactas COICET CCT Mendoza 5500 Mendoza, rgentna and Departamento de Físca Unversdad aconal de San Lus 5700 San Lus, rgentna bstract: Entropy

More information

ELABORATING AND ANALYSING THE REAL BALANCE OF HEAT FOR THE STEAM GENERATOR RGL10/D-D

ELABORATING AND ANALYSING THE REAL BALANCE OF HEAT FOR THE STEAM GENERATOR RGL10/D-D Annals f te Unversty f Petrşan, Mecancal Engneerng, 10 (2008), 155-160 155 ELABORATING AND ANALYSING THE REAL BALANCE OF HEAT FOR THE STEAM GENERATOR RGL10/D-D DAN CODRUŢ PETRILEAN 1 Abstract: Te real

More information