Foundations of Chemical Kinetics. Lecture 18: Unimolecular reactions in the gas phase: RRK theory

Size: px
Start display at page:

Download "Foundations of Chemical Kinetics. Lecture 18: Unimolecular reactions in the gas phase: RRK theory"

Transcription

1 Foundations of Chemical Kinetics Lecture 18: Unimolecular reactions in the gas phase: RRK theory Marc R. Roussel Department of Chemistry and Biochemistry

2 Frequentist interpretation of probability and chemical probability When we say that the probability of an event E is P, what do we mean? One of the earliest concepts of probability is the frequentist interpretation: If we repeat the observation infinitely many times for identically prepared systems, P is the fraction of times that E will occurred. In chemistry, we often apply this reasoning to molecules, and in fact it is implicit in most applications of the Boltzmann distribution.

3 Frequentist interpretation of probability and chemical probability (continued) There is a nuance to our application of this interpretation of probability. Typically, we consider a system containing many identical molecules which may however be in different states. The states of these molecules were not identically prepared in quite the sense envisaged in probability theory, but we assume that our method of preparation and the subsequent equilibration introduces no bias, i.e. that they have, if not identical histories, at least equivalent histories.

4 Frequentist interpretation of probability and chemical probability (continued) We imagine picking a molecule at random out of this system and ask What is the probability that a randomly selected molecule is in state S? Because we generally have very large numbers of molecules, the probability can then literally be interpreted as a frequency, i.e. P(S) = N S /N total Moreover, because all the molecules are in a common container and c = N/V, P(S) = [S]/c total

5 Review of combinatorics Permutations Suppose that we have n distinguishable objects, of which we will pick m, keeping track of the order in which they were picked. This is called a permutation of m objects chosen from n. The number of different permutations is symbolized n P m.

6 Review of combinatorics Permutations (continued) I m going to pick objects in order from my set of n. For the first one, I have n choices. For the second one, I have n 1 choices. The total number of different ways I could pick two objects is therefore n(n 1). For the third one, I have n 2 choices, so I could pick the first three objects in any of n(n 1)(n 2) ways.. In general, the number of ways I could pick m objects from a set of n objects is np m = n(n 1)(n 2)... (n m + 1) = n! (n m)! Special case: If m = n, we have np n = n!/(n n)! = n!/0! = n!

7 Review of combinatorics Combinations Suppose that we have n distinguishable objects of which we will pick m, but we don t care about the order in which we picked them. The number ( ) of combinations (unordered subsets) is denoted n nc m or. m The number of permutations n P m is n!/(n m)!. For each subset of m objects, there are m! permutations. The number of permutations therefore counts each combination m! times. Thus, ( ) n = n P m m m! = n! m!(n m)!

8 An important problem: Balls and walls Suppose that we have j indistinguishable balls that we want to place in s distinguishable rooms. We want to know how many different ways there are to do this. Rather than placing the balls in rooms with fixed walls, think about a situation with movable walls:... To make s rooms, we need s 1 movable walls. (The outer walls don t move.) The movable walls are indistinguishable objects.

9 An important problem: Balls and walls If the balls and walls were distinguishable, there would be (j + s 1)! arrangements of the balls and walls. However, the j balls are indistinguishable, so we are overcounting the number of arrangements by the number of permutations of j objects. Similarly, we are overcounting the number of arrangements by the number of permutations of the s 1 walls. The actual number of different arrangements of j balls in s urns is therefore (j + s 1)! W = j!(s 1)!

10 Stirling s approximation In chemistry, we often want to evaluate N! for large values of N. In that case, the factorial can be approximated as follows: ln N! N ln N N

11 RRK theory Developed independently by Rice and Ramsperger and by Kassel in the late 1920s, hence the name. Modify the Lindemann mechanism to take into account the formation of the transition state: A + M k 1 A + M, k 1 A k 2K A k P. Why? A represents an energized molecule, but getting to the transition state requires that the energy stored in its vibrations move to the correct bond(s). The step with rate constant k 2K represents this process, which is known in the literature as intramolecular vibrational relaxation (IVR).

12 RRK theory (continued) A should be the fastest decaying species in this mechanism since it isn t even a stable molecule. Apply the steady-state approximation for [A ], and solve for k 2K. (You ll see why later.) d[a ] dt = k 2K [A ] k [A ] 0 k 2K = k [A ] [A ] Note: p = [A ]/[A ] is the probability that the energy stored in an energized molecule is in the reactive mode, so k 2K = k p.

13 RRK theory (continued) Applying the steady-state approximation the normal way, we get [A ] = k 2K k [A ] Since v = k [A ], we get v = k 2K [A ]. In the original Lindemann mechanism, v = k2 [A ]. Comparing the two, we conclude that k 2 from the Lindemann mechanism is k 2K in the more detailed RRK mechanism.

14 RRK theory (continued) As in Lindemann-Hinshelwood theory, we assume that all normal modes have the same frequency. Suppose that a particular energized molecule has energy E = j ω 0 spread over s normal modes. The degeneracy of energy level E is just the number of different ways of storing j quanta in s modes: G = (j + s 1)! j!(s 1)!

15 RRK theory (continued) Suppose that we need at least m quanta in the reactive mode in order for the reaction to occur, with E = m ω 0. The degeneracy of the set of molecules that have at least m quanta in the reactive mode is the number of ways of storing j m quanta in the s modes (which allows for some of the extra quanta to also be in the reactive mode): G = (j m + s 1)! (j m)!(s 1)! The probability that a molecule with j quanta has at least m of them in the reactive mode is therefore p = G j!(j m + s 1)! = G (j + s 1)!(j m)!

16 RRK theory (continued) p = G j!(j m + s 1)! = G (j + s 1)!(j m)! Usually, the transition state corresponds to a large m s. Since j > m, j is also large. Apply Stirling s approximation: ln p = ln j! + ln(j m + s 1)! ln(j + s 1)! ln(j m)! j ln j j + (j m + s 1) ln(j m + s 1) (j m + s 1) [(j + s 1) ln(j + s 1) (j + s 1)] [(j m) ln(j m) (j m)] = j ln j + (j m + s 1) ln(j m + s 1) (j + s 1) ln(j + s 1) (j m) ln(j m)

17 RRK theory (continued) Two of the terms involve s 1 m < j. Use a Taylor expansion for (a + x) ln(a + x) with x = s 1: (a + x) ln(a + x) a ln a + x (ln a + 1) Therefore ln p j ln j + (j m) ln(j m) + (s 1) [ln(j m) + 1] [j ln j + (s 1) (ln j + 1)] (j m) ln(j m) = (s 1) [ln(j m) ln j] ( ) ( j m j m = (s 1) ln = ln j j ( ) j m s 1 p = j ) s 1

18 RRK theory (continued) ( j m p = j ) s 1 Since j = E ω 0 and m = E ω 0, we have ( E E p = E ) s 1 Since k2k = k p, k 2K = k ( E E E ) s 1 If we think of the reactive mode as a vibration, we can replace k by the frequency of that mode, ν.

19 RRK theory (continued) In our study of Lindemann-Hinshelwood theory, we found that the probability that s oscillators have a total energy between E and E + de is E s 1 (k B T ) s (s 1)! exp ( E ) de k B T If we assume that the first step is in quasiequilibrium, we have [A ] [A] = k 1 k 1 A represents molecules with a range of different energies above E. If we, instead, think of A as representing molecules with energy between E and E + de for any E > E, then [A ] [A] = k 1 k 1 E s 1 (k B T ) s (s 1)! exp ( E k B T ) de

20 RRK theory (continued) The Lindemann rate constant is k L = k 1k 2 [M] = (k 1/k 1 )k 2 [M] k 1 [M] + k 2 [M] + k 2 /k 1 We now have equations for k1 /k 1 and for k 2 = k 2K. Substituting them in, we get ν [M] dk RRK = ( E E E ) s 1 E s 1 (k B T ) s (s 1)! exp ( ( [M] + ν E E k 1 E E k B T ) ) s 1 de where we write dk L since this represents the rate constant only for reactants with energies between E and E + de.

21 RRK theory (continued) To get the total rate constant, we just integrate. After a little simplification, we get k RRK = E ν [M] k B T (s 1)! ( ) E E s 1 ( k B T exp ( [M] + ν E E k 1 E E k B T ) ) s 1 de This integral can t be evaluated analytically. Instead, we evaluate it numerically for given values of the constants, and typically making the strong collision assumption, which is the assumption that k 1 is strictly collision limited, i.e. that every collision of an A deenergizes it.

22 RRK theory in practice As in Hinshelwood theory, s is used as a fitting parameter. We typically get the best results when, again, s is about half the number of normal modes of A. RRK theory is a huge improvement over Hinshelwood theory. Provided we are allowed to adjust s as we vary T, RRK theory agrees reasonably well with experiment.

23 RRK theory in practice (continued) At large pressures, we get ν ( ) E E s 1 ( k RRK exp E ) de E k B T (s 1)! k B T k B T = ν exp ( E ) k B T Since vibrational frequencies are never much larger than s 1, the high-pressure preexponential factor should never be much larger than this either, but in practice it is often found to be much larger (values of up to s 1 are not unusual).

Foundations of Chemical Kinetics. Lecture 17: Unimolecular reactions in the gas phase: Lindemann-Hinshelwood theory

Foundations of Chemical Kinetics. Lecture 17: Unimolecular reactions in the gas phase: Lindemann-Hinshelwood theory Foundations of Chemical Kinetics Lecture 17: Unimolecular reactions in the gas phase: Lindemann-Hinshelwood theory Marc R. Roussel Department of Chemistry and Biochemistry The factorial The number n(n

More information

Foundations of Chemical Kinetics. Lecture 19: Unimolecular reactions in the gas phase: RRKM theory

Foundations of Chemical Kinetics. Lecture 19: Unimolecular reactions in the gas phase: RRKM theory Foundations of Chemical Kinetics Lecture 19: Unimolecular reactions in the gas phase: RRKM theory Marc R. Roussel Department of Chemistry and Biochemistry Canonical and microcanonical ensembles Canonical

More information

RRK theory. Marc R. Roussel Department of Chemistry and Biochemistry University of Lethbridge. April 3, 2009

RRK theory. Marc R. Roussel Department of Chemistry and Biochemistry University of Lethbridge. April 3, 2009 RRK theory Marc R. Roussel Department of Chemistry and Biochemistry University of Lethbridge April 3, 2009 Isomerization reactions as a test of theories of unimolecular reactions Gas-phase unimolecular

More information

Foundations of Chemical Kinetics. Lecture 12: Transition-state theory: The thermodynamic formalism

Foundations of Chemical Kinetics. Lecture 12: Transition-state theory: The thermodynamic formalism Foundations of Chemical Kinetics Lecture 12: Transition-state theory: The thermodynamic formalism Marc R. Roussel Department of Chemistry and Biochemistry Breaking it down We can break down an elementary

More information

Rate of Heating and Cooling

Rate of Heating and Cooling Rate of Heating and Cooling 35 T [ o C] Example: Heating and cooling of Water E 30 Cooling S 25 Heating exponential decay 20 0 100 200 300 400 t [sec] Newton s Law of Cooling T S > T E : System S cools

More information

Chemistry 2000 Lecture 9: Entropy and the second law of thermodynamics

Chemistry 2000 Lecture 9: Entropy and the second law of thermodynamics Chemistry 2000 Lecture 9: Entropy and the second law of thermodynamics Marc R. Roussel January 23, 2018 Marc R. Roussel Entropy and the second law January 23, 2018 1 / 29 States in thermodynamics The thermodynamic

More information

= dc A dt. The above is a bimolecular elementary reaction. A unimolecular elementary reaction might be HO 2 H + O 2

= dc A dt. The above is a bimolecular elementary reaction. A unimolecular elementary reaction might be HO 2 H + O 2 The above is a bimolecular elementary reaction. A unimolecular elementary reaction might be HO 2 H + O 2 HO 2 just dissociates without any other influence. Rate Laws for Elementary Reactions: 1) A Fragments,

More information

Unusual Entropy of Adsorbed Methane on Zeolite Templated Carbon. Supporting Information. Part 2: Statistical Mechanical Model

Unusual Entropy of Adsorbed Methane on Zeolite Templated Carbon. Supporting Information. Part 2: Statistical Mechanical Model Unusual Entropy of Adsorbed Methane on Zeolite Templated Carbon Supporting Information Part 2: Statistical Mechanical Model Nicholas P. Stadie*, Maxwell Murialdo, Channing C. Ahn, and Brent Fultz W. M.

More information

Foundations of Chemical Kinetics. Lecture 30: Transition-state theory in the solution phase

Foundations of Chemical Kinetics. Lecture 30: Transition-state theory in the solution phase Foundations of Chemical Kinetics Lecture 30: Transition-state theory in the solution phase Marc R. Roussel Department of Chemistry and Biochemistry Transition-state theory in solution We revisit our original

More information

Lecture 2: Intro. Statistical Mechanics

Lecture 2: Intro. Statistical Mechanics Lecture 2: Intro. Statistical Mechanics Statistical mechanics: concepts Aims: A microscopic view of entropy: Joule expansion reviewed. Boltzmann s postulate. S k ln g. Methods: Calculating arrangements;

More information

Lecture 5 Entropy and Disorder

Lecture 5 Entropy and Disorder Lecture 5 Entropy and Disorder Third law S (T) = S(0) + C P ln T Background information: 2 1 ds = n Cp ln T 2 /T 1 nrlnp 2 /P 1 The change in entropy can be calculated using graphical method. In all these

More information

Determining the Components of the Rate Equation

Determining the Components of the Rate Equation Determining the Components of the Rate Equation aa + bb yy + zz Rate k[a] [B] The coefficients and components of the rate equation Must be found by experiment Cannot be deduced from stoichiometry Do not

More information

Express the transition state equilibrium constant in terms of the partition functions of the transition state and the

Express the transition state equilibrium constant in terms of the partition functions of the transition state and the Module 7 : Theories of Reaction Rates Lecture 33 : Transition State Theory Objectives After studying this Lecture you will be able to do the following. Distinguish between collision theory and transition

More information

Lectures on Elementary Probability. William G. Faris

Lectures on Elementary Probability. William G. Faris Lectures on Elementary Probability William G. Faris February 22, 2002 2 Contents 1 Combinatorics 5 1.1 Factorials and binomial coefficients................. 5 1.2 Sampling with replacement.....................

More information

The Partition Function Statistical Thermodynamics. NC State University

The Partition Function Statistical Thermodynamics. NC State University Chemistry 431 Lecture 4 The Partition Function Statistical Thermodynamics NC State University Molecular Partition Functions In general, g j is the degeneracy, ε j is the energy: = j q g e βε j We assume

More information

PROBABILITY. Contents Preface 1 1. Introduction 2 2. Combinatorial analysis 5 3. Stirling s formula 8. Preface

PROBABILITY. Contents Preface 1 1. Introduction 2 2. Combinatorial analysis 5 3. Stirling s formula 8. Preface PROBABILITY VITTORIA SILVESTRI Contents Preface. Introduction. Combinatorial analysis 5 3. Stirling s formula 8 Preface These lecture notes are for the course Probability IA, given in Lent 09 at the University

More information

Lecture Notes Set 3a: Probabilities, Microstates and Entropy

Lecture Notes Set 3a: Probabilities, Microstates and Entropy Lecture Notes Set 3a: Probabilities, Microstates and Entropy Thus far.. In Sections 1 and 2 of the module we ve covered a broad variety of topics at the heart of the thermal and statistical behaviour of

More information

Manual for SS-QRRK utility code

Manual for SS-QRRK utility code Manual for SS-QRRK utility code SS-QRRK: A Program for System-Specific Quantum Rice-Ramsperger-Kassel Theory Junwei Lucas Bao and Donald G. Truhlar Department of Chemistry Chemical Theory Center, and Supercomputing

More information

ADIABATIC PROCESS Q = 0

ADIABATIC PROCESS Q = 0 THE KINETIC THEORY OF GASES Mono-atomic Fig.1 1 3 Average kinetic energy of a single particle Fig.2 INTERNAL ENERGY U and EQUATION OF STATE For a mono-atomic gas, we will assume that the total energy

More information

Irreversible Processes

Irreversible Processes Irreversible Processes Examples: Block sliding on table comes to rest due to friction: KE converted to heat. Heat flows from hot object to cold object. Air flows into an evacuated chamber. Reverse process

More information

L11.P1 Lecture 11. Quantum statistical mechanics: summary

L11.P1 Lecture 11. Quantum statistical mechanics: summary Lecture 11 Page 1 L11.P1 Lecture 11 Quantum statistical mechanics: summary At absolute zero temperature, a physical system occupies the lowest possible energy configuration. When the temperature increases,

More information

5.60 Thermodynamics & Kinetics Spring 2008

5.60 Thermodynamics & Kinetics Spring 2008 MIT OpenCourseWare http://ocw.mit.edu 5.60 Thermodynamics & Kinetics Spring 2008 For information about citing these materials or our Terms of Use, visit: http://ocw.mit.edu/terms. 5.60 Spring 2008 Lecture

More information

Handout 11: Ideal gas, internal energy, work and heat. Ideal gas law

Handout 11: Ideal gas, internal energy, work and heat. Ideal gas law Handout : Ideal gas, internal energy, work and heat Ideal gas law For a gas at pressure p, volume V and absolute temperature T, ideal gas law states that pv = nrt, where n is the number of moles and R

More information

Determining the Components of the Rate Equation aa + bb yy + zz

Determining the Components of the Rate Equation aa + bb yy + zz Determining the Components of the Rate Equation aa + bb yy + zz Rate k[a] [B] The coefficients and components of the rate equation Must be found by experiment Cannot be deduced from stoichiometry Do not

More information

Manual for SS-QRRK utility code

Manual for SS-QRRK utility code Manual for SS-QRRK utility code SS-QRRK: A Program for System-Specific Quantum Rice-Ramsperger-Kassel Theory Junwei Lucas Bao and Donald G. Truhlar Department of Chemistry Chemical Theory Center, and Supercomputing

More information

13! (52 13)! 52! =

13! (52 13)! 52! = Thermo and Intro to Stat Mech 018 Homework assignment 1, Problem 1: What is the probability that all 13 cards on a hand (in bridge for example) are of the same kind, for example all spades? There are 5

More information

Elementary Reactions: these are hypothetical constructs, or our guess about how reactants are converted to products.

Elementary Reactions: these are hypothetical constructs, or our guess about how reactants are converted to products. Mechanism Concept 1) Exponents in rate law do not depend on stoichiometric coefficients in chemical reactions. 2)What is the detailed way in which the reactants are converted into products? This is not

More information

PROBABILITY VITTORIA SILVESTRI

PROBABILITY VITTORIA SILVESTRI PROBABILITY VITTORIA SILVESTRI Contents Preface. Introduction 2 2. Combinatorial analysis 5 3. Stirling s formula 8 4. Properties of Probability measures Preface These lecture notes are for the course

More information

Physics 172H Modern Mechanics

Physics 172H Modern Mechanics Physics 172H Modern Mechanics Instructor: Dr. Mark Haugan Office: PHYS 282 haugan@purdue.edu TAs: Alex Kryzwda John Lorenz akryzwda@purdue.edu jdlorenz@purdue.edu Lecture 22: Matter & Interactions, Ch.

More information

Activation Energy. Notes #22

Activation Energy. Notes #22 Activation Energy Notes #22 Energy (notes) All molecules store chemical-potential energy in the bonds between atoms Some molecules store more chemical energy than others Propane (the gas used in outdoor

More information

MATH MW Elementary Probability Course Notes Part I: Models and Counting

MATH MW Elementary Probability Course Notes Part I: Models and Counting MATH 2030 3.00MW Elementary Probability Course Notes Part I: Models and Counting Tom Salisbury salt@yorku.ca York University Winter 2010 Introduction [Jan 5] Probability: the mathematics used for Statistics

More information

213 Midterm coming up

213 Midterm coming up 213 Midterm coming up Monday April 8 @ 7 pm (conflict exam @ 5:15pm) Covers: Lectures 1-12 (not including thermal radiation) HW 1-4 Discussion 1-4 Labs 1-2 Review Session Sunday April 7, 3-5 PM, 141 Loomis

More information

Manual for SS-QRRK utility code

Manual for SS-QRRK utility code Manual for SS-QRRK utility code SS-QRRK: A Program for System-Specific Quantum Rice-Ramsperger-Kassel Theory SS-QRRK Version: 2018.12.22 Junwei Lucas Bao and Donald G. Truhlar Department of Chemistry Chemical

More information

PHYSICS 219 Homework 2 Due in class, Wednesday May 3. Makeup lectures on Friday May 12 and 19, usual time. Location will be ISB 231 or 235.

PHYSICS 219 Homework 2 Due in class, Wednesday May 3. Makeup lectures on Friday May 12 and 19, usual time. Location will be ISB 231 or 235. PHYSICS 219 Homework 2 Due in class, Wednesday May 3 Note: Makeup lectures on Friday May 12 and 19, usual time. Location will be ISB 231 or 235. No lecture: May 8 (I m away at a meeting) and May 29 (holiday).

More information

Assignment 3. Tyler Shendruk February 26, 2010

Assignment 3. Tyler Shendruk February 26, 2010 Assignment 3 Tyler Shendruk February 6, 00 Kadar Ch. 4 Problem 7 N diatomic molecules are stuck on metal. The particles have three states:. in plane and aligned with the ˆx axis. in plane but aligned with

More information

Lecture 2 Binomial and Poisson Probability Distributions

Lecture 2 Binomial and Poisson Probability Distributions Binomial Probability Distribution Lecture 2 Binomial and Poisson Probability Distributions Consider a situation where there are only two possible outcomes (a Bernoulli trial) Example: flipping a coin James

More information

Physics Dec The Maxwell Velocity Distribution

Physics Dec The Maxwell Velocity Distribution Physics 301 7-Dec-2005 29-1 The Maxwell Velocity Distribution The beginning of chapter 14 covers some things we ve already discussed. Way back in lecture 6, we calculated the pressure for an ideal gas

More information

Chemical Kinetics and Dynamics

Chemical Kinetics and Dynamics Chemical Kinetics and Dynamics Second Edition Jeffrey I. Steinfeld Massachusetts Institute of Technology Joseph S. Francisco Purdue University William L. Hase Wayne State University Prentice Hall Upper

More information

Handout 11: Ideal gas, internal energy, work and heat. Ideal gas law

Handout 11: Ideal gas, internal energy, work and heat. Ideal gas law Handout : Ideal gas, internal energy, work and heat Ideal gas law For a gas at pressure p, volume V and absolute temperature T, ideal gas law states that pv = nrt, where n is the number of moles and R

More information

Lecture 15. Unimolecular reactions

Lecture 15. Unimolecular reactions Lecture 15 Unimolecular reactions How do they occur? Look at the following reaction. Sir Cyril Hinshelwood 1897-1967, Nobel 1956 Cyclo-C 3 H 6 CH 3 -CH=CH 2, the rate = k[cyclo-c 3 H 6 ] These are unimolecular

More information

The expansion of random regular graphs

The expansion of random regular graphs The expansion of random regular graphs David Ellis Introduction Our aim is now to show that for any d 3, almost all d-regular graphs on {1, 2,..., n} have edge-expansion ratio at least c d d (if nd is

More information

Statistical. mechanics

Statistical. mechanics CHAPTER 15 Statistical Thermodynamics 1: The Concepts I. Introduction. A. Statistical mechanics is the bridge between microscopic and macroscopic world descriptions of nature. Statistical mechanics macroscopic

More information

MATH 556: PROBABILITY PRIMER

MATH 556: PROBABILITY PRIMER MATH 6: PROBABILITY PRIMER 1 DEFINITIONS, TERMINOLOGY, NOTATION 1.1 EVENTS AND THE SAMPLE SPACE Definition 1.1 An experiment is a one-off or repeatable process or procedure for which (a there is a well-defined

More information

( )( s 1

( )( s 1 Chemistry 362 Dr Jean M Standard Homework Problem Set 6 Solutions l Calculate the reduced mass in kg for the OH radical The reduced mass for OH is m O m H m O + m H To properly calculate the reduced mass

More information

Lecture 7: Kinetic Theory of Gases, Part 2. ! = mn v x

Lecture 7: Kinetic Theory of Gases, Part 2. ! = mn v x Lecture 7: Kinetic Theory of Gases, Part 2 Last lecture, we began to explore the behavior of an ideal gas in terms of the molecules in it We found that the pressure of the gas was: P = N 2 mv x,i! = mn

More information

Review of Fitting Kinetic Data

Review of Fitting Kinetic Data L6-1 Review of Fitting Kinetic Data True or false: The goal of fitting kinetic data is to find the true rate expression. What are the two general methods used to fit kinetic data? L6-2 Advantages and Drawbacks

More information

Minimum Bias Events at ATLAS

Minimum Bias Events at ATLAS Camille Bélanger-Champagne Lehman McGill College University City University of ew York Thermodynamics Charged Particle and Correlations Statistical Mechanics in Minimum Bias Events at ATLAS Statistical

More information

Kinetic Theory. 84 minutes. 62 marks. theonlinephysicstutor.com. facebook.com/theonlinephysicstutor. Name: Class: Date: Time: Marks: Comments:

Kinetic Theory. 84 minutes. 62 marks. theonlinephysicstutor.com. facebook.com/theonlinephysicstutor. Name: Class: Date: Time: Marks: Comments: Kinetic Theory Name: Class: Date: Time: 84 minutes Marks: 62 marks Comments: Page 1 of 19 1 Which one of the following is not an assumption about the properties of particles in the simple kinetic theory?

More information

Lecture 2: Discrete Probability Distributions

Lecture 2: Discrete Probability Distributions Lecture 2: Discrete Probability Distributions IB Paper 7: Probability and Statistics Carl Edward Rasmussen Department of Engineering, University of Cambridge February 1st, 2011 Rasmussen (CUED) Lecture

More information

Quiz 3 for Physics 176: Answers. Professor Greenside

Quiz 3 for Physics 176: Answers. Professor Greenside Quiz 3 for Physics 176: Answers Professor Greenside True or False Questions ( points each) For each of the following statements, please circle T or F to indicate respectively whether a given statement

More information

COMS 4721: Machine Learning for Data Science Lecture 20, 4/11/2017

COMS 4721: Machine Learning for Data Science Lecture 20, 4/11/2017 COMS 4721: Machine Learning for Data Science Lecture 20, 4/11/2017 Prof. John Paisley Department of Electrical Engineering & Data Science Institute Columbia University SEQUENTIAL DATA So far, when thinking

More information

CIS 2033 Lecture 5, Fall

CIS 2033 Lecture 5, Fall CIS 2033 Lecture 5, Fall 2016 1 Instructor: David Dobor September 13, 2016 1 Supplemental reading from Dekking s textbook: Chapter2, 3. We mentioned at the beginning of this class that calculus was a prerequisite

More information

5.62 Physical Chemistry II Spring 2008

5.62 Physical Chemistry II Spring 2008 MIT OpenCourseWare http://ocw.mit.edu 5.62 Physical Chemistry II Spring 2008 For information about citing these materials or our Terms of Use, visit: http://ocw.mit.edu/terms. 5.62 Lecture #12: Rotational

More information

MD Thermodynamics. Lecture 12 3/26/18. Harvard SEAS AP 275 Atomistic Modeling of Materials Boris Kozinsky

MD Thermodynamics. Lecture 12 3/26/18. Harvard SEAS AP 275 Atomistic Modeling of Materials Boris Kozinsky MD Thermodynamics Lecture 1 3/6/18 1 Molecular dynamics The force depends on positions only (not velocities) Total energy is conserved (micro canonical evolution) Newton s equations of motion (second order

More information

Physics 6720 Introduction to Statistics April 4, 2017

Physics 6720 Introduction to Statistics April 4, 2017 Physics 6720 Introduction to Statistics April 4, 2017 1 Statistics of Counting Often an experiment yields a result that can be classified according to a set of discrete events, giving rise to an integer

More information

Brownian Motion and The Atomic Theory

Brownian Motion and The Atomic Theory Brownian Motion and The Atomic Theory Albert Einstein Annus Mirabilis Centenary Lecture Simeon Hellerman Institute for Advanced Study, 5/20/2005 Founders Day 1 1. What phenomenon did Einstein explain?

More information

Irreversibility. Have you ever seen this happen? (when you weren t asleep or on medication) Which stage never happens?

Irreversibility. Have you ever seen this happen? (when you weren t asleep or on medication) Which stage never happens? Lecture 5: Statistical Processes Random Walk and Particle Diffusion Counting and Probability Microstates and Macrostates The meaning of equilibrium 0.10 0.08 Reading: Elements Ch. 5 Probability (N 1, N

More information

Basic counting techniques. Periklis A. Papakonstantinou Rutgers Business School

Basic counting techniques. Periklis A. Papakonstantinou Rutgers Business School Basic counting techniques Periklis A. Papakonstantinou Rutgers Business School i LECTURE NOTES IN Elementary counting methods Periklis A. Papakonstantinou MSIS, Rutgers Business School ALL RIGHTS RESERVED

More information

STOCHASTIC CHEMICAL KINETICS

STOCHASTIC CHEMICAL KINETICS STOCHASTIC CHEICAL KINETICS Dan Gillespie GillespieDT@mailaps.org Current Support: Caltech (NIGS) Caltech (NIH) University of California at Santa Barbara (NIH) Past Support: Caltech (DARPA/AFOSR, Beckman/BNC))

More information

CS 2336 Discrete Mathematics

CS 2336 Discrete Mathematics CS 2336 Discrete Mathematics Lecture 8 Counting: Permutations and Combinations 1 Outline Definitions Permutation Combination Interesting Identities 2 Definitions Selection and arrangement of objects appear

More information

Adiabatic Expansion (DQ = 0)

Adiabatic Expansion (DQ = 0) Adiabatic Expansion (DQ = 0) Occurs if: change is made sufficiently quickly and/or with good thermal isolation. Governing formula: PV g = constant where g = C P /C V Adiabat P Isotherms V Because PV/T

More information

Combinatorics. But there are some standard techniques. That s what we ll be studying.

Combinatorics. But there are some standard techniques. That s what we ll be studying. Combinatorics Problem: How to count without counting. How do you figure out how many things there are with a certain property without actually enumerating all of them. Sometimes this requires a lot of

More information

10.40 Lectures 23 and 24 Computation of the properties of ideal gases

10.40 Lectures 23 and 24 Computation of the properties of ideal gases 1040 Lectures 3 and 4 Computation of the properties of ideal gases Bernhardt L rout October 16 003 (In preparation for Lectures 3 and 4 also read &M 1015-1017) Degrees of freedom Outline Computation of

More information

Lecture 22: The Arrhenius Equation and reaction mechanisms. As we wrap up kinetics we will:

Lecture 22: The Arrhenius Equation and reaction mechanisms. As we wrap up kinetics we will: As we wrap up kinetics we will: Lecture 22: The Arrhenius Equation and reaction mechanisms. Briefly summarize the differential and integrated rate law equations for 0, 1 and 2 order reaction Learn how

More information

Vibrational Spectroscopy & Intramolecular Vibrational Redistribution (IVR)

Vibrational Spectroscopy & Intramolecular Vibrational Redistribution (IVR) Vibrational Spectroscopy & Intramolecular Vibrational Redistribution (IVR) 1 The Role of Vibrational Energy in Chemical Reactions Unimolecular reactions: The Rice-Rampsberger-Kassel-Marcus (RRKM) theory

More information

Physics Sep Example A Spin System

Physics Sep Example A Spin System Physics 30 7-Sep-004 4- Example A Spin System In the last lecture, we discussed the binomial distribution. Now, I would like to add a little physical content by considering a spin system. Actually this

More information

Advanced Physical Chemistry CHAPTER 18 ELEMENTARY CHEMICAL KINETICS

Advanced Physical Chemistry CHAPTER 18 ELEMENTARY CHEMICAL KINETICS Experimental Kinetics and Gas Phase Reactions Advanced Physical Chemistry CHAPTER 18 ELEMENTARY CHEMICAL KINETICS Professor Angelo R. Rossi http://homepages.uconn.edu/rossi Department of Chemistry, Room

More information

Example. If 4 tickets are drawn with replacement from ,

Example. If 4 tickets are drawn with replacement from , Example. If 4 tickets are drawn with replacement from 1 2 2 4 6, what are the chances that we observe exactly two 2 s? Exactly two 2 s in a sequence of four draws can occur in many ways. For example, (

More information

+ kt φ P N lnφ + φ lnφ

+ kt φ P N lnφ + φ lnφ 3.01 practice problems thermo solutions 3.01 Issued: 1.08.04 Fall 004 Not due THERODYNAICS 1. Flory-Huggins Theory. We introduced a simple lattice model for polymer solutions in lectures 4 and 5. The Flory-Huggins

More information

Lecture 25 Goals: Chapter 18 Understand the molecular basis for pressure and the idealgas

Lecture 25 Goals: Chapter 18 Understand the molecular basis for pressure and the idealgas Lecture 5 Goals: Chapter 18 Understand the molecular basis for pressure and the idealgas law. redict the molar specific heats of gases and solids. Understand how heat is transferred via molecular collisions

More information

Chem120a : Exam 3 (Chem Bio) Solutions

Chem120a : Exam 3 (Chem Bio) Solutions Chem10a : Exam 3 (Chem Bio) Solutions November 7, 006 Problem 1 This problem will basically involve us doing two Hückel calculations: one for the linear geometry, and one for the triangular geometry. We

More information

Collision Theory and Rate of Reaction. Sunday, April 15, 18

Collision Theory and Rate of Reaction. Sunday, April 15, 18 Collision Theory and Rate of Reaction Collision Theory System consists of particles in constant motion at speed proportional to temperature of sample Chemical reaction must involve collisions of particles

More information

Rubber elasticity. Marc R. Roussel Department of Chemistry and Biochemistry University of Lethbridge. February 21, 2009

Rubber elasticity. Marc R. Roussel Department of Chemistry and Biochemistry University of Lethbridge. February 21, 2009 Rubber elasticity Marc R. Roussel Department of Chemistry and Biochemistry University of Lethbridge February 21, 2009 A rubber is a material that can undergo large deformations e.g. stretching to five

More information

COMBINATORIAL COUNTING

COMBINATORIAL COUNTING COMBINATORIAL COUNTING Our main reference is [1, Section 3] 1 Basic counting: functions and subsets Theorem 11 (Arbitrary mapping Let N be an n-element set (it may also be empty and let M be an m-element

More information

Lecture 13. Multiplicity and statistical definition of entropy

Lecture 13. Multiplicity and statistical definition of entropy Lecture 13 Multiplicity and statistical definition of entropy Readings: Lecture 13, today: Chapter 7: 7.1 7.19 Lecture 14, Monday: Chapter 7: 7.20 - end 2/26/16 1 Today s Goals Concept of entropy from

More information

Boltzmann Distribution Law (adapted from Nash)

Boltzmann Distribution Law (adapted from Nash) Introduction Statistical mechanics provides a bridge between the macroscopic realm of classical thermodynamics and the microscopic realm of atoms and molecules. We are able to use computational methods

More information

Probability and the Second Law of Thermodynamics

Probability and the Second Law of Thermodynamics Probability and the Second Law of Thermodynamics Stephen R. Addison January 24, 200 Introduction Over the next several class periods we will be reviewing the basic results of probability and relating probability

More information

Introduction Statistical Thermodynamics. Monday, January 6, 14

Introduction Statistical Thermodynamics. Monday, January 6, 14 Introduction Statistical Thermodynamics 1 Molecular Simulations Molecular dynamics: solve equations of motion Monte Carlo: importance sampling r 1 r 2 r n MD MC r 1 r 2 2 r n 2 3 3 4 4 Questions How can

More information

Module 6 : Reaction Kinetics and Dynamics Lecture 28 : Elementary Reactions and Reaction Mechanisms

Module 6 : Reaction Kinetics and Dynamics Lecture 28 : Elementary Reactions and Reaction Mechanisms Module 6 : Reaction Kinetics and Dynamics Lecture 28 : Elementary Reactions and Reaction Mechanisms Objectives In this Lecture you will learn to do the following Define what is an elementary reaction.

More information

Lecture 6. Statistical Processes. Irreversibility. Counting and Probability. Microstates and Macrostates. The Meaning of Equilibrium Ω(m) 9 spins

Lecture 6. Statistical Processes. Irreversibility. Counting and Probability. Microstates and Macrostates. The Meaning of Equilibrium Ω(m) 9 spins Lecture 6 Statistical Processes Irreversibility Counting and Probability Microstates and Macrostates The Meaning of Equilibrium Ω(m) 9 spins -9-7 -5-3 -1 1 3 5 7 m 9 Lecture 6, p. 1 Irreversibility Have

More information

Chem 116 POGIL Worksheet - Week 6 Kinetics - Part 2

Chem 116 POGIL Worksheet - Week 6 Kinetics - Part 2 Chem 116 POGIL Worksheet - Week 6 Kinetics - Part 2 Why? A different form of the rate law for a reaction allows us to calculate amounts as a function of time. One variation on this gives us the concept

More information

Chapter 3. Entropy, temperature, and the microcanonical partition function: how to calculate results with statistical mechanics.

Chapter 3. Entropy, temperature, and the microcanonical partition function: how to calculate results with statistical mechanics. Chapter 3. Entropy, temperature, and the microcanonical partition function: how to calculate results with statistical mechanics. The goal of equilibrium statistical mechanics is to calculate the density

More information

Notes. Combinatorics. Combinatorics II. Notes. Notes. Slides by Christopher M. Bourke Instructor: Berthe Y. Choueiry. Spring 2006

Notes. Combinatorics. Combinatorics II. Notes. Notes. Slides by Christopher M. Bourke Instructor: Berthe Y. Choueiry. Spring 2006 Combinatorics Slides by Christopher M. Bourke Instructor: Berthe Y. Choueiry Spring 2006 Computer Science & Engineering 235 Introduction to Discrete Mathematics Sections 4.1-4.6 & 6.5-6.6 of Rosen cse235@cse.unl.edu

More information

Chapter 5: Integer Compositions and Partitions and Set Partitions

Chapter 5: Integer Compositions and Partitions and Set Partitions Chapter 5: Integer Compositions and Partitions and Set Partitions Prof. Tesler Math 184A Fall 2017 Prof. Tesler Ch. 5: Compositions and Partitions Math 184A / Fall 2017 1 / 46 5.1. Compositions A strict

More information

Lecture 2. Binomial and Poisson Probability Distributions

Lecture 2. Binomial and Poisson Probability Distributions Durkin, Lecture 2, Page of 6 Lecture 2 Binomial and Poisson Probability Distributions ) Bernoulli Distribution or Binomial Distribution: Consider a situation where there are only two possible outcomes

More information

Singular perturbation theory

Singular perturbation theory Singular perturbation theory Marc R Roussel October 19, 2005 1 Introduction When we apply the steady-state approximation (SSA) in chemical kinetics, we typically argue that some of the intermediates are

More information

CHAPTER 21 THE KINETIC THEORY OF GASES-PART? Wen-Bin Jian ( 簡紋濱 ) Department of Electrophysics National Chiao Tung University

CHAPTER 21 THE KINETIC THEORY OF GASES-PART? Wen-Bin Jian ( 簡紋濱 ) Department of Electrophysics National Chiao Tung University CHAPTER 1 THE KINETIC THEORY OF GASES-PART? Wen-Bin Jian ( 簡紋濱 ) Department of Electrophysics National Chiao Tung University 1. Molecular Model of an Ideal Gas. Molar Specific Heat of an Ideal Gas. Adiabatic

More information

Reaction time distributions in chemical kinetics: Oscillations and other weird behaviors

Reaction time distributions in chemical kinetics: Oscillations and other weird behaviors Introduction The algorithm Results Summary Reaction time distributions in chemical kinetics: Oscillations and other weird behaviors Ramon Xulvi-Brunet Escuela Politécnica Nacional Outline Introduction

More information

UC Berkeley Department of Electrical Engineering and Computer Sciences. EECS 126: Probability and Random Processes

UC Berkeley Department of Electrical Engineering and Computer Sciences. EECS 126: Probability and Random Processes UC Berkeley Department of Electrical Engineering and Computer Sciences EECS 26: Probability and Random Processes Problem Set Spring 209 Self-Graded Scores Due:.59 PM, Monday, February 4, 209 Submit your

More information

4. Systems in contact with a thermal bath

4. Systems in contact with a thermal bath 4. Systems in contact with a thermal bath So far, isolated systems microcanonical methods 4.1 Constant number of particles:kittelkroemer Chap. 3 Boltzmann factor Partition function canonical methods Ideal

More information

5. Systems in contact with a thermal bath

5. Systems in contact with a thermal bath 5. Systems in contact with a thermal bath So far, isolated systems (micro-canonical methods) 5.1 Constant number of particles:kittel&kroemer Chap. 3 Boltzmann factor Partition function (canonical methods)

More information

Turning up the heat: thermal expansion

Turning up the heat: thermal expansion Lecture 3 Turning up the heat: Kinetic molecular theory & thermal expansion Gas in an oven: at the hot of materials science Here, the size of helium atoms relative to their spacing is shown to scale under

More information

Time-Dependent Statistical Mechanics 5. The classical atomic fluid, classical mechanics, and classical equilibrium statistical mechanics

Time-Dependent Statistical Mechanics 5. The classical atomic fluid, classical mechanics, and classical equilibrium statistical mechanics Time-Dependent Statistical Mechanics 5. The classical atomic fluid, classical mechanics, and classical equilibrium statistical mechanics c Hans C. Andersen October 1, 2009 While we know that in principle

More information

Foundations of Chemical Kinetics. Lecture 32: Heterogeneous kinetics: Gases and surfaces

Foundations of Chemical Kinetics. Lecture 32: Heterogeneous kinetics: Gases and surfaces Foundations of Chemical Kinetics Lecture 32: Heterogeneous kinetics: Gases and surfaces Marc R. Roussel Department of Chemistry and Biochemistry Gas-surface reactions Adsorption Adsorption: sticking of

More information

Chemistry 2000 Lecture 18: Reactions of organic compounds

Chemistry 2000 Lecture 18: Reactions of organic compounds hemistry 2000 Lecture 18: Reactions of organic compounds Marc R. Roussel March 6, 2018 Marc R. Roussel Reactions of organic compounds March 6, 2018 1 / 27 Reactions of organic compounds Organic chemists

More information

Quick Sort Notes , Spring 2010

Quick Sort Notes , Spring 2010 Quick Sort Notes 18.310, Spring 2010 0.1 Randomized Median Finding In a previous lecture, we discussed the problem of finding the median of a list of m elements, or more generally the element of rank m.

More information

The goal of equilibrium statistical mechanics is to calculate the diagonal elements of ˆρ eq so we can evaluate average observables < A >= Tr{Â ˆρ eq

The goal of equilibrium statistical mechanics is to calculate the diagonal elements of ˆρ eq so we can evaluate average observables < A >= Tr{Â ˆρ eq Chapter. The microcanonical ensemble The goal of equilibrium statistical mechanics is to calculate the diagonal elements of ˆρ eq so we can evaluate average observables < A >= Tr{Â ˆρ eq } = A that give

More information

Physics 562: Statistical Mechanics Spring 2003, James P. Sethna Homework 5, due Wednesday, April 2 Latest revision: April 4, 2003, 8:53 am

Physics 562: Statistical Mechanics Spring 2003, James P. Sethna Homework 5, due Wednesday, April 2 Latest revision: April 4, 2003, 8:53 am Physics 562: Statistical Mechanics Spring 2003, James P. Sethna Homework 5, due Wednesday, April 2 Latest revision: April 4, 2003, 8:53 am Reading David Chandler, Introduction to Modern Statistical Mechanics,

More information

Physics 213 Spring 2009 Midterm exam. Review Lecture

Physics 213 Spring 2009 Midterm exam. Review Lecture Physics 213 Spring 2009 Midterm exam Review Lecture The next two questions pertain to the following situation. A container of air (primarily nitrogen and oxygen molecules) is initially at 300 K and atmospheric

More information

Lecture 19: Introduction to Kinetics First a CH 302 Kinetics Study Guide (Memorize these first three pages, they are all the background you need)

Lecture 19: Introduction to Kinetics First a CH 302 Kinetics Study Guide (Memorize these first three pages, they are all the background you need) Lecture 19: Introduction to Kinetics First a CH 302 Kinetics Study Guide (Memorize these first three pages, they are all the background you need) Reaction Rate: The most important issue in kinetics is

More information