Study of the possibility of eliminating the Gibbs paradox within the framework of classical thermodynamics *
|
|
- Carol Williamson
- 5 years ago
- Views:
Transcription
1 tudy of the possblty of elnatng the Gbbs paradox wthn the fraework of classcal therodynacs * V. Ihnatovych Departent of Phlosophy, Natonal echncal Unversty of Ukrane Kyv Polytechnc Insttute, Kyv, Ukrane e-al: V.Ihnatovych@kp.ua Abstract he forulas for the entropy of deal gases xture and the entropy change n xng of deal gases on the bass of the thrd law of therodynacs were obtaned. It s shown that when usng these forulas, the Gbbs paradox wthn the fraework of classcal therodynacs does not arse. 1. Introducton he Gbbs paradox arose n the theoretcal consderng a queston of a change n the entropy n xng of two deal gases. It conssts n that the value of the change of entropy durng the xng of two deal gases (entropy of xng), wth the sae ntal teperature and pressure does not dependent on the propertes of the xed gases (untl they are dfferent), and unevenly becoes zero n the transton fro xng of dfferent gases to xng of dentcal gases. A jup of the entropy of xng s paradoxcal, when paraeter of gases dfference goes to zero wthout a jup [1-10]. he search of ths paradox explanatons lasts for ore than 100 years and s descrbed n detal n the onograph [10], where about ffty orgnal explanatons for ths paradox are gven and a concluson that there s no generally accepted explanaton s ade. In consderng ths paradox, the varous authors dscussed, n partcular (and dd not coe to coon opnon), as to whether the concluson of the jup of entropy of xng s connected wth the assupton of the exstence of dscrete dfferences between the paraeters of the xed gases or not, and can the concluson of ths jup be elnated, f we accept the prese of the possblty of a sooth transton fro one gas to another [1-10]. * centfc Notes of the Acadey of cences of Hgher chool of Ukrane V.III. pp (n Ukranan). Represented by an acadecan of the Acadey of cences of Hgher chool of Ukrane prof. N.Vrchenko. 1
2 In our opnon, any questons about ths paradox are not solved because n consderng ths paradox ts logcal and atheatcal aspects were not taken nto account: the pont that the concluson about the paradoxcal jup was ade n certan dscourses and regards to atheatcal behavor of the functons of any varables the entropy of deal gases xng, for whch we can derve the forula was not taken nto account. If these crcustances are taken nto account, t ust be sad that the characterstcs of peculartes of behavor of the functon for whch there s a forula, are deterned by the peculartes of ths forula and the peculartes of behavor of varables and paraeters that are ncluded n the forula. he forula for the entropy of xng s obtaned by the developent on the bass of certan ntal forulas. It s understood that the peculartes of behavor of the entropy of xng are caused by the peculartes of the forulas on whch bass the forula for the entropy of xng s developed. If we develop a forula for the entropy of xng, usng other ntal forulas, we can get the other peculartes of the behavor of the entropy of xng. In ths paper the author ntends to show that the correspondng forulas can be obtaned n classcal therodynacs and thus elnate the Gbbs paradox n classcal therodynacs. ones: 2. Prelnares In the papers concernng the Gbbs paradox, the followng forulas are used as the ntal Δ =, g j g =, (2) =, (3) = n( c ln Rln p + ) p 0p where Δ the entropy of xng, the entropy of the xture, the entropy of the g syste consstng of subsystes, separated by pereable parttons, j the entropy of j-th subsyste, the entropy of -th deal gas a xture coponent, n the nuber of oles of the -th gas, c p ts olar theral capacty at constant pressure, therodynac teperature, 0p ntegraton constant, whch depends on the nature of the gas and does not depend on n, c, V, p,. Forulas (2) (4) express the absolute value of the entropy of therodynac systes. In classcal therodynacs, the absolute value of the entropy s deterned on the bass of the second and thrd laws of therodynacs. (1) (4) 2
3 Accordng to the second law of therodynacs, δq d =, (5) where δ Q the aount of heat absorbed by the syste n eleentary equlbru process. Accordng to the thrd law of therodynacs, the entropy of a pure substance an deal crystal when = 0 equals to zero. Accordngly, as to the second and thrd laws of therodynacs, the absolute value of the entropy of any pure substance, whch when = 0 s an deal crystal, equals to: δq p dh С p = = d. + = + Т (6) Т where syste; transton, Q p the heat that s absorbed by the syste at constant pressure; H the enthalpy of the Δ H the enthalpy change n k-th phase transton, the teperature of k-th phase C p the theral capactes of substance at constant pressure. he forula (6) can be used to deterne the entropy of substance, whch s an deal gas at a gven pressure p and teperature 1. Of course, when the teperature lows at constant pressure such substance becoes not deal gas (real gas), then lqud and sold. At 1 the entropy of such substance can be deterned by the forulas (4) and (6). Accordngly, f С d С ln Rln p. p = 0 + Т 0 p then the forula (6) agrees wth the forula (4). he entropy of the ultcoponent syste, whch s at teperature of a xture of deal gases, s equal to: δq С d. (7) p dh p = = + + = Т Т where H the enthalpy of the syste; C the theral capactes of the syste at constant p pressure, Δ H the enthalpy change n k-th phase transton n the syste; the teperature of k-th phase transton n the syste, the entropy of the syste when = 0. 0 In the forula (7) the fact that the entropy of the ultcoponent syste at = 0 can dffer fro zero s taken nto account. 3
4 For a syste, whch s coposed of gases wth equal teperature, separated by parttons, Q = Q. (8) Fro (5) and (8) follows (2). 3. Defnton of the entropy of deal gases xng usng the thrd law of therodynacs In order not to be dstracted by nor detals, we consder the case of xng of two deal gases wth equal ntal teperatures and pressures, prevously separated by an pereable partton. We also assue that the syste contans one ole of each gas. For ths case of (1), (6) (8) follows: C ( c + c ) Δ = d p p1 p Т (9) Т Т If we use the forulas (2) (4), for a xture of dfferent gases we obtan Δ = 2Rln2, (10) and for a xture of dentcal gases Δ = 0. (11) Accordng to (9), the value of the entropy of deal gases xng (at 1 ) depends on the dfference n the behavor of functons C, c p p 1 + c, p 2, Т teperature range 0 1, whch coplcated depends on the propertes the gases, as at low n the Т Т 1 2 teperatures, gases and ther xtures are not deal and at certan teperatures are ovng to a condensed state. It s known that the closer the xture coponents are by ther propertes, the closer are the values of functons C and p c p 1 + c, p and + Т and Т Т 1 2 accordng to (9), the closer to zero s the value of Δ. Consequently, n deternng the entropy of gases and xtures on the bass of the second and thrd laws of therodynacs there s no queston of the ndependence of the entropy of xng of the knd of gases, whch, accordng.d. Khatun [1, p. 24], s an ntegral part of the Gbbs paradox. he xtures of optcal soers are deal. herefore, for dfferent gases optcal soers the value deterned by the forula (9) s equal to zero. When deternng the entropy accordng to the equaton (9) there s also a jup of entropy of xng n the transton fro the xng of dfferent to the xng of dentcal gases. 4
5 If the value Δ has any peculartes of behavor when approachng the propertes of xed c gases, then, accordng to (9), they ay be due only to the peculartes of behavor of values C, p c, p Т, Т. In partcular, the jup of the entropy of xng ay take place only n the event when any the ndcated values changes unevenly. Respectvely, the entropy of xng, deterned usng the thrd law of therodynacs, cannot have any peculartes of the behavor, not connected wth the peculartes of behavor of heat, enthalpy or nternal energy of deal gases. hus, f we start fro the thrd law of therodynacs, t s possble to obtan conclusons regardng the behavor of the entropy of deal gases xng that ake up the content of the Gbbs paradox. Due to the fact that the results, obtaned usng the thrd law of therodynacs, contradct to the results obtaned on the bass of forulas (2) (4), at least one of the forulas (2) (4) contradcts the thrd law of therodynacs. It s shown above that the forula (6) does not contradct to the forula (4), and that the forula (2) can be used to deterne the entropy of deal gases xng usng the thrd law of therodynacs. herefore, the dfferences of behavor of the value Δ, obtaned on the bass of the forulas (2) (4) and the value Δ, obtaned on the bass of the forulas (5) (8), are condtoned by the dfferences of behavor of values, deterned by the forulas (3) and (7). herefore, we can assue that the forula (3), whch expresses the Gbbs theore of entropy of deal gases xng, cannot be reconcled wth the thrd law of therodynacs. Let us note that n the classcal therodynacs, Gbbs theore s proven on the bass of Dalton law about the pressure of deal gases xture (see, for exaple [1 3, 8]). It s easy to ake sure that we can strctly get only the forula for the entropy change when the state of an deal gas xture changes fro the forula of the entropy of an deal gas and Dalton law: Δ = Δ, (12) and the forula (3) does not follow t. 4. Conclusons Gbbs paradox n the forulaton of the peculartes of atheatcal behavor of the entropy of deal gases xng n the transton fro xng of dfferent gases to xng of 5
6 dentcal gases n the classcal therodynacs can be elnated fro ths theory, f for defnton of the entropy of xng we use the thrd law of therodynacs nstead of the Gbbs theore about the entropy of an deal gases xng. It can be assued that the Gbbs theore about the entropy of deal gases xng contradcts to forulas, based on the second and thrd laws of therodynacs. References 1. I. P. Bazarov, Gbbs paradox and ts soluton // Zhurnal Fzchesko Kh (7). P [n Russan]. 2. I.P. Bazarov, Paradoxes of gases xng // Uspekh Fzcheskkh Nauk (3). pp [n Russan]. 3. I. P.Bazarov, herodynacs. Moscow: Vysshk, 1991 [n Russan] 4. L.A.Blyuenfeld, A.Yu. Grosberg, Gbbs paradox and the concept of syste constructon n therodynacs and statstcal physcs // Bophyscs (3). pp [n Russan]. 5. J.. Warsawskj, A. V. chenn, On the entropy of systes contanng coponents dffcult to dstngush / / Doklady Akade Nauk R (5). p [n Russan] 6. J. M. Gelfer, V. L. Ljuboshts, M. I. Podgoretskj, Gbbs Paradox and dentty of partcles n quantu echancs. Moscow. Nauka Publshers, 1975 [n Russan] 7. V. B. Gubn. About physcs, atheatcs and ethodology. Moscow: PAIM, p. [n Russan] 8. B. M. Kedrov hree aspects of the atoc theory. Gbbs paradox. he logcal aspect. Moscow: Nauka Publshers [n Russan] 9. V. L. Lyuboshts, M. I. Podgoretsky, Entropy of polarzed gases and Gbbs paradox // Doklady Akade Nauk R (3). P [n Russan] 10.. D. Khaytun, he Hstory of the Gbbs' Paradox; Moscow: Nauka Publshers, 1986 [n Russan] 6
Chapter One Mixture of Ideal Gases
herodynacs II AA Chapter One Mxture of Ideal Gases. Coposton of a Gas Mxture: Mass and Mole Fractons o deterne the propertes of a xture, we need to now the coposton of the xture as well as the propertes
More informationThe logical foundations of Gibbs' paradox in classical thermodynamics * V. Ihnatovych
The logcal foundatons of Gbbs' parado n classcal thermodynamcs * V. Ihnatovych Department of Phlosophy, Natonal Techncal Unversty of Ukrane Kyv Polytechnc Insttute, Kyv, Ukrane e-mal: V.Ihnatovych@kp.ua
More informationSystem in Weibull Distribution
Internatonal Matheatcal Foru 4 9 no. 9 94-95 Relablty Equvalence Factors of a Seres-Parallel Syste n Webull Dstrbuton M. A. El-Dacese Matheatcs Departent Faculty of Scence Tanta Unversty Tanta Egypt eldacese@yahoo.co
More informationChapter 12 Lyes KADEM [Thermodynamics II] 2007
Chapter 2 Lyes KDEM [Therodynacs II] 2007 Gas Mxtures In ths chapter we wll develop ethods for deternng therodynac propertes of a xture n order to apply the frst law to systes nvolvng xtures. Ths wll be
More informationQuantum Particle Motion in Physical Space
Adv. Studes Theor. Phys., Vol. 8, 014, no. 1, 7-34 HIKARI Ltd, www.-hkar.co http://dx.do.org/10.1988/astp.014.311136 Quantu Partcle Moton n Physcal Space A. Yu. Saarn Dept. of Physcs, Saara State Techncal
More informationChapter 13. Gas Mixtures. Study Guide in PowerPoint. Thermodynamics: An Engineering Approach, 5th edition by Yunus A. Çengel and Michael A.
Chapter 3 Gas Mxtures Study Gude n PowerPont to accopany Therodynacs: An Engneerng Approach, 5th edton by Yunus A. Çengel and Mchael A. Boles The dscussons n ths chapter are restrcted to nonreactve deal-gas
More informationFermi-Dirac statistics
UCC/Physcs/MK/EM/October 8, 205 Fer-Drac statstcs Fer-Drac dstrbuton Matter partcles that are eleentary ostly have a type of angular oentu called spn. hese partcles are known to have a agnetc oent whch
More informationUniversity of Washington Department of Chemistry Chemistry 452/456 Summer Quarter 2013
Lecture 8/8/3 Unversty o Washngton Departent o Chestry Chestry 45/456 Suer Quarter 3 A. The Gbbs-Duhe Equaton Fro Lecture 7 and ro the dscusson n sectons A and B o ths lecture, t s clear that the actvty
More informationDenote the function derivatives f(x) in given points. x a b. Using relationships (1.2), polynomials (1.1) are written in the form
SET OF METHODS FO SOUTION THE AUHY POBEM FO STIFF SYSTEMS OF ODINAY DIFFEENTIA EUATIONS AF atypov and YuV Nulchev Insttute of Theoretcal and Appled Mechancs SB AS 639 Novosbrs ussa Introducton A constructon
More informationApplied Mathematics Letters
Appled Matheatcs Letters 2 (2) 46 5 Contents lsts avalable at ScenceDrect Appled Matheatcs Letters journal hoepage: wwwelseverco/locate/al Calculaton of coeffcents of a cardnal B-splne Gradr V Mlovanovć
More informationIrreversible Work of Separation and Heat-Driven Separation
J. Phys. Che. B 004, 08, 6035-604 6035 Irreversble Wor of Separaton and Heat-Drven Separaton Anatoly M. Tsrln and Vladr Kazaov*, Progra Syste Insttute, Russan Acadey of Scence, set. Botc, PerejaslaVl-Zalesy,
More informationChemical Engineering 160/260 Polymer Science and Engineering. Lecture 10 - Phase Equilibria and Polymer Blends February 7, 2001
Checal Engneerng 60/60 Polyer Scence and Engneerng Lecture 0 - Phase Equlbra and Polyer Blends February 7, 00 Therodynacs of Polyer Blends: Part Objectves! To develop the classcal Flory-Huggns theory for
More informationXII.3 The EM (Expectation-Maximization) Algorithm
XII.3 The EM (Expectaton-Maxzaton) Algorth Toshnor Munaata 3/7/06 The EM algorth s a technque to deal wth varous types of ncoplete data or hdden varables. It can be appled to a wde range of learnng probles
More information,..., k N. , k 2. ,..., k i. The derivative with respect to temperature T is calculated by using the chain rule: & ( (5) dj j dt = "J j. k i.
Suppleentary Materal Dervaton of Eq. 1a. Assue j s a functon of the rate constants for the N coponent reactons: j j (k 1,,..., k,..., k N ( The dervatve wth respect to teperature T s calculated by usng
More informationElastic Collisions. Definition: two point masses on which no external forces act collide without losing any energy.
Elastc Collsons Defnton: to pont asses on hch no external forces act collde thout losng any energy v Prerequstes: θ θ collsons n one denson conservaton of oentu and energy occurs frequently n everyday
More informationOur focus will be on linear systems. A system is linear if it obeys the principle of superposition and homogenity, i.e.
SSTEM MODELLIN In order to solve a control syste proble, the descrptons of the syste and ts coponents ust be put nto a for sutable for analyss and evaluaton. The followng ethods can be used to odel physcal
More informationPROBABILITY AND STATISTICS Vol. III - Analysis of Variance and Analysis of Covariance - V. Nollau ANALYSIS OF VARIANCE AND ANALYSIS OF COVARIANCE
ANALYSIS OF VARIANCE AND ANALYSIS OF COVARIANCE V. Nollau Insttute of Matheatcal Stochastcs, Techncal Unversty of Dresden, Gerany Keywords: Analyss of varance, least squares ethod, odels wth fxed effects,
More informationOn 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 informationIntegral Transforms and Dual Integral Equations to Solve Heat Equation with Mixed Conditions
Int J Open Probles Copt Math, Vol 7, No 4, Deceber 214 ISSN 1998-6262; Copyrght ICSS Publcaton, 214 www-csrsorg Integral Transfors and Dual Integral Equatons to Solve Heat Equaton wth Mxed Condtons Naser
More informationLeast Squares Fitting of Data
Least Squares Fttng of Data Davd Eberly Geoetrc Tools, LLC http://www.geoetrctools.co/ Copyrght c 1998-2014. All Rghts Reserved. Created: July 15, 1999 Last Modfed: February 9, 2008 Contents 1 Lnear Fttng
More informationAN ANALYSIS OF A FRACTAL KINETICS CURVE OF SAVAGEAU
AN ANALYI OF A FRACTAL KINETIC CURE OF AAGEAU by John Maloney and Jack Hedel Departent of Matheatcs Unversty of Nebraska at Oaha Oaha, Nebraska 688 Eal addresses: aloney@unoaha.edu, jhedel@unoaha.edu Runnng
More informationSeveral generation methods of multinomial distributed random number Tian Lei 1, a,linxihe 1,b,Zhigang Zhang 1,c
Internatonal Conference on Appled Scence and Engneerng Innovaton (ASEI 205) Several generaton ethods of ultnoal dstrbuted rando nuber Tan Le, a,lnhe,b,zhgang Zhang,c School of Matheatcs and Physcs, USTB,
More informationWhat is LP? LP is an optimization technique that allocates limited resources among competing activities in the best possible manner.
(C) 998 Gerald B Sheblé, all rghts reserved Lnear Prograng Introducton Contents I. What s LP? II. LP Theor III. The Splex Method IV. Refneents to the Splex Method What s LP? LP s an optzaton technque that
More informationThe Parity of the Number of Irreducible Factors for Some Pentanomials
The Party of the Nuber of Irreducble Factors for Soe Pentanoals Wolfra Koepf 1, Ryul K 1 Departent of Matheatcs Unversty of Kassel, Kassel, F. R. Gerany Faculty of Matheatcs and Mechancs K Il Sung Unversty,
More informationGroup Analysis of Ordinary Differential Equations of the Order n>2
Symmetry n Nonlnear Mathematcal Physcs 997, V., 64 7. Group Analyss of Ordnary Dfferental Equatons of the Order n> L.M. BERKOVICH and S.Y. POPOV Samara State Unversty, 4430, Samara, Russa E-mal: berk@nfo.ssu.samara.ru
More informationThe Symmetries of Kibble s Gauge Theory of Gravitational Field, Conservation Laws of Energy-Momentum Tensor Density and the
The Symmetres of Kbble s Gauge Theory of Gravtatonal Feld, Conservaton aws of Energy-Momentum Tensor Densty and the Problems about Orgn of Matter Feld Fangpe Chen School of Physcs and Opto-electronc Technology,Dalan
More informationSolution Thermodynamics
Soluton hermodynamcs usng Wagner Notaton by Stanley. Howard Department of aterals and etallurgcal Engneerng South Dakota School of nes and echnology Rapd Cty, SD 57701 January 7, 001 Soluton hermodynamcs
More informationA Radon-Nikodym Theorem for Completely Positive Maps
A Radon-Nody Theore for Copletely Postve Maps V P Belavn School of Matheatcal Scences, Unversty of Nottngha, Nottngha NG7 RD E-al: vpb@aths.nott.ac.u and P Staszews Insttute of Physcs, Ncholas Coperncus
More informationBAYESIAN CURVE FITTING USING PIECEWISE POLYNOMIALS. Dariusz Biskup
BAYESIAN CURVE FITTING USING PIECEWISE POLYNOMIALS Darusz Bskup 1. Introducton The paper presents a nonparaetrc procedure for estaton of an unknown functon f n the regresson odel y = f x + ε = N. (1) (
More informationPhysical Chemistry I for Biochemists. Lecture 18 (2/23/11) Announcement
Physcal Chestry I or Bochests Che34 Lecture 18 (2/23/11) Yoshtaka Ish Ch5.8-5.11 & HW6 Revew o Ch. 5 or Quz 2 Announceent Quz 2 has a slar orat wth Quz1. e s the sae. ~2 ns. Answer or HW5 wll be uploaded
More informationLecture 6. Entropy of an Ideal Gas (Ch. 3)
Lecture 6. Entropy o an Ideal Gas (Ch. oday we wll acheve an portant goal: we ll derve the equaton(s o state or an deal gas ro the prncples o statstcal echancs. We wll ollow the path outlned n the prevous
More informationLeast Squares Fitting of Data
Least Squares Fttng of Data Davd Eberly Geoetrc Tools, LLC http://www.geoetrctools.co/ Copyrght c 1998-2015. All Rghts Reserved. Created: July 15, 1999 Last Modfed: January 5, 2015 Contents 1 Lnear Fttng
More informationLecture 12: Discrete Laplacian
Lecture 12: Dscrete Laplacan Scrbe: Tanye Lu Our goal s to come up wth a dscrete verson of Laplacan operator for trangulated surfaces, so that we can use t n practce to solve related problems We are mostly
More informationAssignment 4. Adsorption Isotherms
Insttute of Process Engneerng Assgnment 4. Adsorpton Isotherms Part A: Compettve adsorpton of methane and ethane In large scale adsorpton processes, more than one compound from a mxture of gases get adsorbed,
More informationReview 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 informationLecture. Polymer Thermodynamics 0331 L Chemical Potential
Prof. Dr. rer. nat. habl. S. Enders Faculty III for Process Scence Insttute of Chemcal Engneerng Department of Thermodynamcs Lecture Polymer Thermodynamcs 033 L 337 3. Chemcal Potental Polymer Thermodynamcs
More information4 Analysis of Variance (ANOVA) 5 ANOVA. 5.1 Introduction. 5.2 Fixed Effects ANOVA
4 Analyss of Varance (ANOVA) 5 ANOVA 51 Introducton ANOVA ANOVA s a way to estmate and test the means of multple populatons We wll start wth one-way ANOVA If the populatons ncluded n the study are selected
More informationELASTIC WAVE PROPAGATION IN A CONTINUOUS MEDIUM
ELASTIC WAVE PROPAGATION IN A CONTINUOUS MEDIUM An elastc wave s a deformaton of the body that travels throughout the body n all drectons. We can examne the deformaton over a perod of tme by fxng our look
More informationThe Multiple Classical Linear Regression Model (CLRM): Specification and Assumptions. 1. Introduction
ECONOMICS 5* -- NOTE (Summary) ECON 5* -- NOTE The Multple Classcal Lnear Regresson Model (CLRM): Specfcaton and Assumptons. Introducton CLRM stands for the Classcal Lnear Regresson Model. The CLRM s also
More informationModule 3 LOSSY IMAGE COMPRESSION SYSTEMS. Version 2 ECE IIT, Kharagpur
Module 3 LOSSY IMAGE COMPRESSION SYSTEMS Verson ECE IIT, Kharagpur Lesson 6 Theory of Quantzaton Verson ECE IIT, Kharagpur Instructonal Objectves At the end of ths lesson, the students should be able to:
More informationProblem Set #6 solution, Chem 340, Fall 2013 Due Friday, Oct 11, 2013 Please show all work for credit
Problem Set #6 soluton, Chem 340, Fall 2013 Due Frday, Oct 11, 2013 Please show all work for credt To hand n: Atkns Chap 3 Exercses: 3.3(b), 3.8(b), 3.13(b), 3.15(b) Problems: 3.1, 3.12, 3.36, 3.43 Engel
More informationXiangwen Li. March 8th and March 13th, 2001
CS49I Approxaton Algorths The Vertex-Cover Proble Lecture Notes Xangwen L March 8th and March 3th, 00 Absolute Approxaton Gven an optzaton proble P, an algorth A s an approxaton algorth for P f, for an
More informationEPR Paradox and the Physical Meaning of an Experiment in Quantum Mechanics. Vesselin C. Noninski
EPR Paradox and the Physcal Meanng of an Experment n Quantum Mechancs Vesseln C Nonnsk vesselnnonnsk@verzonnet Abstract It s shown that there s one purely determnstc outcome when measurement s made on
More informationOpen Systems: Chemical Potential and Partial Molar Quantities Chemical Potential
Open Systems: Chemcal Potental and Partal Molar Quanttes Chemcal Potental For closed systems, we have derved the followng relatonshps: du = TdS pdv dh = TdS + Vdp da = SdT pdv dg = VdP SdT For open systems,
More informationON A DETERMINATION OF THE INITIAL FUNCTIONS FROM THE OBSERVED VALUES OF THE BOUNDARY FUNCTIONS FOR THE SECOND-ORDER HYPERBOLIC EQUATION
Advanced Mathematcal Models & Applcatons Vol.3, No.3, 2018, pp.215-222 ON A DETERMINATION OF THE INITIAL FUNCTIONS FROM THE OBSERVED VALUES OF THE BOUNDARY FUNCTIONS FOR THE SECOND-ORDER HYPERBOLIC EUATION
More informationPHYS 1443 Section 002 Lecture #20
PHYS 1443 Secton 002 Lecture #20 Dr. Jae Condtons for Equlbru & Mechancal Equlbru How to Solve Equlbru Probles? A ew Exaples of Mechancal Equlbru Elastc Propertes of Solds Densty and Specfc Gravty lud
More informationLecture Note 3. Eshelby s Inclusion II
ME340B Elastcty of Mcroscopc Structures Stanford Unversty Wnter 004 Lecture Note 3. Eshelby s Incluson II Chrs Wenberger and We Ca c All rghts reserved January 6, 004 Contents 1 Incluson energy n an nfnte
More informationExcess Error, Approximation Error, and Estimation Error
E0 370 Statstcal Learnng Theory Lecture 10 Sep 15, 011 Excess Error, Approxaton Error, and Estaton Error Lecturer: Shvan Agarwal Scrbe: Shvan Agarwal 1 Introducton So far, we have consdered the fnte saple
More informationTHERMODYNAMICS of COMBUSTION
Internal Cobuston Engnes MAK 493E THERMODYNAMICS of COMBUSTION Prof.Dr. Ce Soruşbay Istanbul Techncal Unversty Internal Cobuston Engnes MAK 493E Therodynacs of Cobuston Introducton Proertes of xtures Cobuston
More informationObtaining U and G based on A above arrow line: )
Suary or ch,,3,4,5,6,7 (Here soe olar propertes wthout underlne) () he three laws o herodynacs - st law: otal energy o syste (SYS) plus surroundng (SUR) s conserved. - nd law: otal change o entropy o the
More informationASYMMETRIC TRAFFIC ASSIGNMENT WITH FLOW RESPONSIVE SIGNAL CONTROL IN AN URBAN NETWORK
AYMMETRIC TRAFFIC AIGNMENT WITH FLOW REPONIVE IGNAL CONTROL IN AN URBAN NETWORK Ken'etsu UCHIDA *, e'ch KAGAYA **, Tohru HAGIWARA *** Dept. of Engneerng - Hoado Unversty * E-al: uchda@eng.houda.ac.p **
More informationIntroduction to Vapor/Liquid Equilibrium, part 2. Raoult s Law:
CE304, Sprng 2004 Lecture 4 Introducton to Vapor/Lqud Equlbrum, part 2 Raoult s Law: The smplest model that allows us do VLE calculatons s obtaned when we assume that the vapor phase s an deal gas, and
More informationEXAMPLES of THEORETICAL PROBLEMS in the COURSE MMV031 HEAT TRANSFER, version 2017
EXAMPLES of THEORETICAL PROBLEMS n the COURSE MMV03 HEAT TRANSFER, verson 207 a) What s eant by sotropc ateral? b) What s eant by hoogeneous ateral? 2 Defne the theral dffusvty and gve the unts for the
More informationIntroduction 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 informationIrregular vibrations in multi-mass discrete-continuous systems torsionally deformed
(2) 4 48 Irregular vbratons n mult-mass dscrete-contnuous systems torsonally deformed Abstract In the paper rregular vbratons of dscrete-contnuous systems consstng of an arbtrary number rgd bodes connected
More informationA 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 informationThermodynamics and statistical mechanics in materials modelling II
Course MP3 Lecture 8/11/006 (JAE) Course MP3 Lecture 8/11/006 Thermodynamcs and statstcal mechancs n materals modellng II A bref résumé of the physcal concepts used n materals modellng Dr James Ellott.1
More informationANSWERS. Problem 1. and the moment generating function (mgf) by. defined for any real t. Use this to show that E( U) var( U)
Econ 413 Exam 13 H ANSWERS Settet er nndelt 9 deloppgaver, A,B,C, som alle anbefales å telle lkt for å gøre det ltt lettere å stå. Svar er gtt . Unfortunately, there s a prntng error n the hnt of
More informationMaximizing the number of nonnegative subsets
Maxmzng the number of nonnegatve subsets Noga Alon Hao Huang December 1, 213 Abstract Gven a set of n real numbers, f the sum of elements of every subset of sze larger than k s negatve, what s the maxmum
More informationLinear Momentum. Center of Mass.
Lecture 16 Chapter 9 Physcs I 11.06.2013 Lnear oentu. Center of ass. Course webste: http://faculty.ul.edu/ndry_danylov/teachng/physcsi Lecture Capture: http://echo360.ul.edu/danylov2013/physcs1fall.htl
More informationUsing T.O.M to Estimate Parameter of distributions that have not Single Exponential Family
IOSR Journal of Mathematcs IOSR-JM) ISSN: 2278-5728. Volume 3, Issue 3 Sep-Oct. 202), PP 44-48 www.osrjournals.org Usng T.O.M to Estmate Parameter of dstrbutons that have not Sngle Exponental Famly Jubran
More informationPhysics 607 Exam 1. ( ) = 1, Γ( z +1) = zγ( z) x n e x2 dx = 1. e x2
Physcs 607 Exam 1 Please be well-organzed, and show all sgnfcant steps clearly n all problems. You are graded on your wor, so please do not just wrte down answers wth no explanaton! Do all your wor on
More informationSupplementary Notes for Chapter 9 Mixture Thermodynamics
Supplementary Notes for Chapter 9 Mxture Thermodynamcs Key ponts Nne major topcs of Chapter 9 are revewed below: 1. Notaton and operatonal equatons for mxtures 2. PVTN EOSs for mxtures 3. General effects
More informationGrover s Algorithm + Quantum Zeno Effect + Vaidman
Grover s Algorthm + Quantum Zeno Effect + Vadman CS 294-2 Bomb 10/12/04 Fall 2004 Lecture 11 Grover s algorthm Recall that Grover s algorthm for searchng over a space of sze wors as follows: consder the
More informationOn the number of regions in an m-dimensional space cut by n hyperplanes
6 On the nuber of regons n an -densonal space cut by n hyperplanes Chungwu Ho and Seth Zeran Abstract In ths note we provde a unfor approach for the nuber of bounded regons cut by n hyperplanes n general
More informationKey Words: Hamiltonian systems, canonical integrators, symplectic integrators, Runge-Kutta-Nyström methods.
CANONICAL RUNGE-KUTTA-NYSTRÖM METHODS OF ORDERS 5 AND 6 DANIEL I. OKUNBOR AND ROBERT D. SKEEL DEPARTMENT OF COMPUTER SCIENCE UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN 304 W. SPRINGFIELD AVE. URBANA, ILLINOIS
More informationLECTURE :FACTOR ANALYSIS
LCUR :FACOR ANALYSIS Rta Osadchy Based on Lecture Notes by A. Ng Motvaton Dstrbuton coes fro MoG Have suffcent aount of data: >>n denson Use M to ft Mture of Gaussans nu. of tranng ponts If
More informationDescription of the Force Method Procedure. Indeterminate Analysis Force Method 1. Force Method con t. Force Method con t
Indeternate Analyss Force Method The force (flexblty) ethod expresses the relatonshps between dsplaceents and forces that exst n a structure. Prary objectve of the force ethod s to deterne the chosen set
More informationConvexity preserving interpolation by splines of arbitrary degree
Computer Scence Journal of Moldova, vol.18, no.1(52), 2010 Convexty preservng nterpolaton by splnes of arbtrary degree Igor Verlan Abstract In the present paper an algorthm of C 2 nterpolaton of dscrete
More informationA novel mathematical model of formulation design of emulsion explosive
J. Iran. Chem. Res. 1 (008) 33-40 Journal of the Iranan Chemcal Research IAU-ARAK www.au-jcr.com A novel mathematcal model of formulaton desgn of emulson explosve Mng Lu *, Qfa Lu Chemcal Engneerng College,
More informationChapter 9: Other Topics in Phase Equilibria
Chapter 9: Other opcs n Phase qulbra hs chapter deals wth relatons that derve n cases of equlbru between cobnatons of two co-exstng phases other than vapour and lqud,.e., lqud-lqud, sold-lqud, and soldvapour.
More informationLinear Multiple Regression Model of High Performance Liquid Chromatography
Lnear Multple Regresson Model of Hgh Perforance Lqud Chroatography STANISLAVA LABÁTOVÁ Insttute of Inforatcs Departent of dscrete processes odelng and control Slovak Acadey of Scences Dúbravská 9, 845
More informationCHAPTER 10 ROTATIONAL MOTION
CHAPTER 0 ROTATONAL MOTON 0. ANGULAR VELOCTY Consder argd body rotates about a fxed axs through pont O n x-y plane as shown. Any partcle at pont P n ths rgd body rotates n a crcle of radus r about O. The
More informationCOS 511: Theoretical Machine Learning
COS 5: Theoretcal Machne Learnng Lecturer: Rob Schapre Lecture #0 Scrbe: José Sões Ferrera March 06, 203 In the last lecture the concept of Radeacher coplexty was ntroduced, wth the goal of showng that
More informationTurbulence classification of load data by the frequency and severity of wind gusts. Oscar Moñux, DEWI GmbH Kevin Bleibler, DEWI GmbH
Turbulence classfcaton of load data by the frequency and severty of wnd gusts Introducton Oscar Moñux, DEWI GmbH Kevn Blebler, DEWI GmbH Durng the wnd turbne developng process, one of the most mportant
More informationLINEAR REGRESSION ANALYSIS. MODULE IX Lecture Multicollinearity
LINEAR REGRESSION ANALYSIS MODULE IX Lecture - 30 Multcollnearty Dr. Shalabh Department of Mathematcs and Statstcs Indan Insttute of Technology Kanpur 2 Remedes for multcollnearty Varous technques have
More informationECE 534: Elements of Information Theory. Solutions to Midterm Exam (Spring 2006)
ECE 534: Elements of Informaton Theory Solutons to Mdterm Eam (Sprng 6) Problem [ pts.] A dscrete memoryless source has an alphabet of three letters,, =,, 3, wth probabltes.4,.4, and., respectvely. (a)
More informationLecture-24. Enzyme kinetics and Enzyme inhibition-ii
Lecture-24 Enzye knetcs and Enzye nhbton-ii Noncopette Inhbton A noncopette nhbtor can bnd wth enzye or wth enzye-substrate coplex to produce end coplex. Hence the nhbtor ust bnd at a dfferent ste fro
More informationThe Nature and Realization of Quantum Entanglement
Appled Physcs Research; Vol. 8, No. 6; 06 ISSN 96-9639 E-ISSN 96-9647 Publshed by Canadan Center of Scence and Educaton The Nature and Realzaton of Quantu Entangleent Bn Lang College of Scence, Chongqng
More informationDetermination of the Confidence Level of PSD Estimation with Given D.O.F. Based on WELCH Algorithm
Internatonal Conference on Inforaton Technology and Manageent Innovaton (ICITMI 05) Deternaton of the Confdence Level of PSD Estaton wth Gven D.O.F. Based on WELCH Algorth Xue-wang Zhu, *, S-jan Zhang
More informationNote 10. Modeling and Simulation of Dynamic Systems
Lecture Notes of ME 475: Introducton to Mechatroncs Note 0 Modelng and Smulaton of Dynamc Systems Department of Mechancal Engneerng, Unversty Of Saskatchewan, 57 Campus Drve, Saskatoon, SK S7N 5A9, Canada
More informationChap.5 Statistical Thermodynamics
Chap5 Statstcal Thermodynamcs () Free expanson & adabatc from macroscopc: Δ S dq T R adabatc Q, free expanson W rrev rrev ΔU, deal gas ΔT If reversble & sothermal QR + WR ΔU 因 Uf(T) RT QR WR ( Pd ) Pd
More informationThe Minimum Universal Cost Flow in an Infeasible Flow Network
Journal of Scences, Islamc Republc of Iran 17(2): 175-180 (2006) Unversty of Tehran, ISSN 1016-1104 http://jscencesutacr The Mnmum Unversal Cost Flow n an Infeasble Flow Network H Saleh Fathabad * M Bagheran
More informationAnalysis of Discrete Time Queues (Section 4.6)
Analyss of Dscrete Tme Queues (Secton 4.6) Copyrght 2002, Sanjay K. Bose Tme axs dvded nto slots slot slot boundares Arrvals can only occur at slot boundares Servce to a job can only start at a slot boundary
More informationCalculating the Quasi-static Pressures of Confined Explosions Considering Chemical Reactions under the Constant Entropy Assumption
Appled Mechancs and Materals Onlne: 202-04-20 ISS: 662-7482, ol. 64, pp 396-400 do:0.4028/www.scentfc.net/amm.64.396 202 Trans Tech Publcatons, Swtzerland Calculatng the Quas-statc Pressures of Confned
More informationThermodynamics and Kinetics of Solids 33. III. Statistical Thermodynamics. Â N i = N (5.3) N i. i =0. Â e i = E (5.4) has a maximum.
hermodynamcs and Knetcs of Solds 33 III. Statstcal hermodynamcs 5. Statstcal reatment of hermodynamcs 5.1. Statstcs and Phenomenologcal hermodynamcs. Calculaton of the energetc state of each atomc or molecular
More information8.4 COMPLEX VECTOR SPACES AND INNER PRODUCTS
SECTION 8.4 COMPLEX VECTOR SPACES AND INNER PRODUCTS 493 8.4 COMPLEX VECTOR SPACES AND INNER PRODUCTS All the vector spaces you have studed thus far n the text are real vector spaces because the scalars
More information3.1 Expectation of Functions of Several Random Variables. )' be a k-dimensional discrete or continuous random vector, with joint PMF p (, E X E X1 E X
Statstcs 1: Probablty Theory II 37 3 EPECTATION OF SEVERAL RANDOM VARIABLES As n Probablty Theory I, the nterest n most stuatons les not on the actual dstrbuton of a random vector, but rather on a number
More informationNUMERICAL DIFFERENTIATION
NUMERICAL DIFFERENTIATION 1 Introducton Dfferentaton s a method to compute the rate at whch a dependent output y changes wth respect to the change n the ndependent nput x. Ths rate of change s called the
More informationCHARACTERISTICS OF COMPLEX SEPARATION SCHEMES AND AN ERROR OF SEPARATION PRODUCTS OUTPUT DETERMINATION
Górnctwo Geonżynera Rok 0 Zeszyt / 006 Igor Konstantnovch Mladetskj * Petr Ivanovch Plov * Ekaterna Nkolaevna Kobets * Tasya Igorevna Markova * CHARACTERISTICS OF COMPLEX SEPARATION SCHEMES AND AN ERROR
More informationLecture Notes on Linear Regression
Lecture Notes on Lnear Regresson Feng L fl@sdueducn Shandong Unversty, Chna Lnear Regresson Problem In regresson problem, we am at predct a contnuous target value gven an nput feature vector We assume
More information12. The Hamilton-Jacobi Equation Michael Fowler
1. The Hamlton-Jacob Equaton Mchael Fowler Back to Confguraton Space We ve establshed that the acton, regarded as a functon of ts coordnate endponts and tme, satsfes ( ) ( ) S q, t / t+ H qpt,, = 0, and
More informationOn the correction of the h-index for career length
1 On the correcton of the h-ndex for career length by L. Egghe Unverstet Hasselt (UHasselt), Campus Depenbeek, Agoralaan, B-3590 Depenbeek, Belgum 1 and Unverstet Antwerpen (UA), IBW, Stadscampus, Venusstraat
More informationDr. Shalabh Department of Mathematics and Statistics Indian Institute of Technology Kanpur
Analyss of Varance and Desgn of Exerments-I MODULE III LECTURE - 2 EXPERIMENTAL DESIGN MODELS Dr. Shalabh Deartment of Mathematcs and Statstcs Indan Insttute of Technology Kanur 2 We consder the models
More informationStatistical mechanics handout 4
Statstcal mechancs handout 4 Explan dfference between phase space and an. Ensembles As dscussed n handout three atoms n any physcal system can adopt any one of a large number of mcorstates. For a quantum
More informationLecture 3 Stat102, Spring 2007
Lecture 3 Stat0, Sprng 007 Chapter 3. 3.: Introducton to regresson analyss Lnear regresson as a descrptve technque The least-squares equatons Chapter 3.3 Samplng dstrbuton of b 0, b. Contnued n net lecture
More informationThe non-negativity of probabilities and the collapse of state
The non-negatvty of probabltes and the collapse of state Slobodan Prvanovć Insttute of Physcs, P.O. Box 57, 11080 Belgrade, Serba Abstract The dynamcal equaton, beng the combnaton of Schrödnger and Louvlle
More informationThe internal structure of natural numbers and one method for the definition of large prime numbers
The nternal structure of natural numbers and one method for the defnton of large prme numbers Emmanul Manousos APM Insttute for the Advancement of Physcs and Mathematcs 3 Poulou str. 53 Athens Greece Abstract
More informationPECULIARITIES PASSAGE OSCILLATOR AS STRUCTURED PARTICLE THROUGH THE POTENTIAL BARRIER
PECULIAITIES PASSAGE OSCILLATO AS STUCTUED PATICLE THOUGH THE POTENTIAL BAIE V. M. Soskov, M. I. Densena epulc of Kazakhstan, Alaty, Insttute of Ionosphere MES K, 48 Е-al: vsos@raler.ru The results of
More informationProblem Set 9 Solutions
Desgn and Analyss of Algorthms May 4, 2015 Massachusetts Insttute of Technology 6.046J/18.410J Profs. Erk Demane, Srn Devadas, and Nancy Lynch Problem Set 9 Solutons Problem Set 9 Solutons Ths problem
More information