MOTION. The easy stuff; The gaseous state - Translational motion. The crystalline state - Oscillations about a Mean position.

Size: px
Start display at page:

Download "MOTION. The easy stuff; The gaseous state - Translational motion. The crystalline state - Oscillations about a Mean position."

Transcription

1 The easy stuff; MOTION The gaseous state - Traslatioal motio The crystallie state - Oscillatios about a Mea positio The hard stuff; The liquid state - Coupled motios

2 MOTION IN POLYMERS LARGE SCALE MOTION PREVENTED BY RANDOM CLOSE PACKING IN THE MELT

3 THE NATURE OF THE GLASS TRANSITION Tg - a thermodyamic Trasitio or a kietic Pheomeo? The observed Tg depeds Upo the rate of heatig Or coolig ~ therefore Kietic. But is there a Uderlyig thermodyamic Trasitio? Reproduced with permissio from A. J. Kovacs, J. Polym. Sci., 30, 131 (1958).

4 THE CONCEPT OF FREE VOLUME Free volume is ot the same as "uoccupied" or empty volume. Molecules have thermal motio. For a material i the glassy state we ca thik of the motio as the balls oscillatig i a cage of their eighbors. These oscillatios create some "free volume" over ad above the empty space characteristic of radom close packig. Ordered Packig of Spheres Radom Close Packig of Spheres "uoccupied volume" Two dimesioal represetatio of the packig of spheres. For polymers, motio of chai segmets, ad ot the etire polymer molecule, is importat.

5 THE CONCEPT OF FREE VOLUME Free volume is ot the same as "uoccupied" or empty volume. Molecules have thermal motio. For a material i the glassy state we ca thik of the motio as the balls oscillatig i a cage of their eighbors. These oscillatios create some "free volume" over ad above the empty space characteristic of radom close packig. Free volume icreases with temperature as the amplitude of the oscillatios icreases. Free volume is ot equally shared betwee all the molecules, but fluctuates. At some istat of time oe molecule might be trapped i a local close-packed cage of its eighbors, while aother has Sufficiet "free volume" available to it that it bouces ito a ew positio. The idea that the Tg correspods to the poit where the free volume falls below a critical value was suggested by Fox ad Flory.

6 THE EFFECT OF MOLECULAR WEIGHT The eds of a chai have more freedom of motio tha the segmets i the ceter of a chai ad, crudely, ca be thought of as havig "more free volume". Low molecular weight chais have more eds per uit volume tha log chais, hece a higher free volume, hece a lower Tg. Fox ad Flory used such simple free volume argumets to obtai the followig equatio: = - K M Glass trasitios of polystyree fractios plotted as a fuctio of molecular weight, M (bottom) ad 1/M (top). From T. G. Fox ad P. J. Flory, J. Appl. Phys., 21, 581 (1950).

7 THE EFFECT OF CHAIN STIFFNESS Chai stiffess affects chai mobility. If there are bulky groups, such as bezee rigs, i the backboe of the polymer chai, there is a high eergy barrier to rotatios, which the oly occur at higher temperatures. Si O O Poly(dimethyl siloxae) C Polyethylee - 80 C Poly(pheylee oxide) C Icreasig Chai Stiffess

8 THE EFFECT OF BULKY SIDE GROUPS The presece of bulky pedat groups attached to the polymer backboe raises the Tg, through steric hidrace to bod rotatios. As the pedat group gets larger, the Tg icreases. However, as at some poit the attached groups o loger get i the way of bod rotatios as they get further ad further away from the chai. The effect of attachig a methyl group to the mai chai of PS, to give poly(_-methyl styree), is greater tha icreasig the size of the aromatic uit, because the close proximity of this group to the polymer backboe itroduces a higher degree of steric hidrace. Polymer Polyethylee Atactic Polypropylee Atactic Polystyree Atactic Poly(α-methyl styree) Atactic Poly(1-viyl aphthalee) Atactic Poly(viyl bipheyl) Chemical Structure - 80 C * CH - 10 C CH CH C CH 100 C 175 C 135 C 145 C Compare PaMS, PVN ad PVBP.

9 Poly(methyl methacrylate) C C O 105 C C C O O O Poly(ethyl methacrylate) 65 C Poly(propyl methacrylate) THE EFFECT OF FLEXIBLE SIDE GROUPS Tg decreases with icreasig side-chai legth. Substituets closest to the chai, the methyl ad ester group, provide the bulk of the steric hidrace. The rest of the attached side chai ca "get out of the way" of motios of the mai chai through rotatios aroud side-chai bods. Because these side chais icrease the free volume through their effect o the packig of the chais, the Tg is lowered. Icreasig Legth of Flexible Side Group Poly(butyl methacrylate) Poly(octyl methacrylate) Poly(dodecyl methacrylate) C C O O C C O O C C O O C C O O ( ) 3 ( ) 7 ( ) C - 2 C - 42 C - 62 C

10 THE EFFECT OF INTERMOLECULAR ATTRACTIONS AND CROSSLINKING Strog itermolecular attractios also act so as to raise the Tg. Atactic Polypropylee Atactic Poly(viyl chloride) CH Cl CH -10 C 87 C The chlorie atom ad methyl group have approximately the same effect o bod rotatios. The polar character of the Cl atom leads to stroger forces of attractio betwee chais, however, so that o average these groups are closer. The free volume is less ad the Tg is higher (reality is probably a bit more complicated tha this Similarly, cross-likig decreases free volume, because parts of the chai Are tied more closely together, hece Tg icreases.

11 THE EFFECT OF DILUENTS AND COPOLYMERIZATION Schematic diagram depictig the itermediate Tg observed i a miscible mixture, relative to oe that is phase separated Q: what would you expect for a radom copolymer vs. a block copolymer? 2 Edotherm 1 Mixture Two Phase Oe Phase The Tg of a mixture ca be simply ratioalized o the basis of free volume argumets to give the Fox equatio Temperature 1 = W W 2 2

12 CHARACTERISTICS OF THE CRYSTALLINE MELTING POINT Whe we use the word "meltig" we will mea the trasitio from a ordered crystallie phase to a disordered liquid phase, usually at a well-defied temperature. Edotherm Hysteresis peak C p T m Temperature A DSC plot showig a chage i the specific heat ( Cp) at the glass trasitio temperature (Tg) ad a edothermic peak at the meltig temperature (Tm).

13 MELTING - EQUILIBRIUM CONSIDERATIONS G f = H f - T S f AT EQUILIBRIUM G f = 0 HENCE Tm = H f S f THE TRICK IS TO RELATE THESE QUANTITIES TO MOLECULAR PROPERTIES. WE SHALL SIMPLY USE QUALITATIVE ARGUMENTS

14 THE EFFECT OF CHEMICAL STRUCTURE ENTHALPY CONSIDERATIONS Assumptio: ethalpy is simply related to the force of attractio betwee the chais. H m must be related to the differece i the forces of attractio betwee polymers packed i a regular array i the crystallie domais ad the forces betwee those same chais whe radomly itertwied i the melt. T m Polyethylee O C N 135 C 265 C T m = H f S f Nylo 6 H The forces of attractio betwee the simple hydrocarbo segmets foud i polyethylee are weak dispersio forces ( 0.2 kcal/mole). I cotrast, ylo 6 cotais the amide group, which forms hydroge bods that are a order of magitude stroger ( 5 kcal/mole).

15 THE EFFECT OF CHEMICAL STRUCTURE ENTROPY CONSIDERATIONS I the crystallie state a polymer chai is i a sigle ordered coformatio. Upo meltig the chai escapes the cage of the crystallie lattice ad ow has the freedom to sample all the coformatios available to it. Melt S f = k (l Ω melt - l Ω cryst )

16 ENTROPY CONSIDERATIOS - CHAIN STIFFNESS (SIMILAR INTERACTIONS) T m O Poly(ethylee oxide) 65 C Polyethylee 135 C T m = H f S f 400 C Poly(p-xylee) Polyethylee CH Isotactic Polypropylee T m 135 C 170 C Bod rotatios are ihibited by steric hidrace ad the umber of cofiguratios available to the chai becomes limited. CH Isotactic Polystyree 225 C

Physics Supplement to my class. Kinetic Theory

Physics Supplement to my class. Kinetic Theory Physics Supplemet to my class Leaers should ote that I have used symbols for geometrical figures ad abbreviatios through out the documet. Kietic Theory 1 Most Probable, Mea ad RMS Speed of Gas Molecules

More information

Chemical Engineering 160/260 Polymer Science and Engineering. Model for Polymer Solutions February 5, 2001

Chemical Engineering 160/260 Polymer Science and Engineering. Model for Polymer Solutions February 5, 2001 Chemical Egieerig 60/60 Polymer Sciece ad Egieerig Lecture 9 - Flory-Huggis Model for Polymer Solutios February 5, 00 Read Sperlig, Chapter 4 Objectives! To develop the classical Flory-Huggis theory for

More information

POLYMERS

POLYMERS POLYMERS Short Aswer Questios: **1.What is PHBV? How is it useful to ma? As. PHBV is Poly β-hydroxy butyrate-co- β-hydroxy valerate.it is a biodegradable polymer. It is used i speciality packig, orthopaedic

More information

Free Radical Polymerization

Free Radical Polymerization Free Radical Polymerizatio Referece: Aspe Polymers: Uit Operatios ad Reactio Models, Aspe Techology, Ic., 2013. 1. Itroductio The free-radical bulk/solutio polymerizatio model is applicable to bulk ad

More information

The z-transform. 7.1 Introduction. 7.2 The z-transform Derivation of the z-transform: x[n] = z n LTI system, h[n] z = re j

The z-transform. 7.1 Introduction. 7.2 The z-transform Derivation of the z-transform: x[n] = z n LTI system, h[n] z = re j The -Trasform 7. Itroductio Geeralie the complex siusoidal represetatio offered by DTFT to a represetatio of complex expoetial sigals. Obtai more geeral characteristics for discrete-time LTI systems. 7.

More information

1. Collision Theory 2. Activation Energy 3. Potential Energy Diagrams

1. Collision Theory 2. Activation Energy 3. Potential Energy Diagrams Chemistry 12 Reactio Kietics II Name: Date: Block: 1. Collisio Theory 2. Activatio Eergy 3. Potetial Eergy Diagrams Collisio Theory (Kietic Molecular Theory) I order for two molecules to react, they must

More information

Chapter 5 Vibrational Motion

Chapter 5 Vibrational Motion Fall 4 Chapter 5 Vibratioal Motio... 65 Potetial Eergy Surfaces, Rotatios ad Vibratios... 65 Harmoic Oscillator... 67 Geeral Solutio for H.O.: Operator Techique... 68 Vibratioal Selectio Rules... 7 Polyatomic

More information

17 Phonons and conduction electrons in solids (Hiroshi Matsuoka)

17 Phonons and conduction electrons in solids (Hiroshi Matsuoka) 7 Phoos ad coductio electros i solids Hiroshi Matsuoa I this chapter we will discuss a miimal microscopic model for phoos i a solid ad a miimal microscopic model for coductio electros i a simple metal.

More information

PHYS-3301 Lecture 7. CHAPTER 4 Structure of the Atom. Rutherford Scattering. Sep. 18, 2018

PHYS-3301 Lecture 7. CHAPTER 4 Structure of the Atom. Rutherford Scattering. Sep. 18, 2018 CHAPTER 4 Structure of the Atom PHYS-3301 Lecture 7 4.1 The Atomic Models of Thomso ad Rutherford 4.2 Rutherford Scatterig 4.3 The Classic Atomic Model 4.4 The Bohr Model of the Hydroge Atom 4.5 Successes

More information

1 Adiabatic and diabatic representations

1 Adiabatic and diabatic representations 1 Adiabatic ad diabatic represetatios 1.1 Bor-Oppeheimer approximatio The time-idepedet Schrödiger equatio for both electroic ad uclear degrees of freedom is Ĥ Ψ(r, R) = E Ψ(r, R), (1) where the full molecular

More information

Polymerization Lab p. 1 Polymerization Lab

Polymerization Lab p. 1 Polymerization Lab Polymerizatio Lab p. 1 Polymerizatio Lab Itroductio: Polymers (Greek-PLY...may ad MES...parts) have existed sice the begiig of life. Both "atural" ad "sythetic" polymers are a itegral part of our life.

More information

On Random Line Segments in the Unit Square

On Random Line Segments in the Unit Square O Radom Lie Segmets i the Uit Square Thomas A. Courtade Departmet of Electrical Egieerig Uiversity of Califoria Los Ageles, Califoria 90095 Email: tacourta@ee.ucla.edu I. INTRODUCTION Let Q = [0, 1] [0,

More information

Exercises and Problems

Exercises and Problems HW Chapter 4: Oe-Dimesioal Quatum Mechaics Coceptual Questios 4.. Five. 4.4.. is idepedet of. a b c mu ( E). a b m( ev 5 ev) c m(6 ev ev) Exercises ad Problems 4.. Model: Model the electro as a particle

More information

The Boolean Ring of Intervals

The Boolean Ring of Intervals MATH 532 Lebesgue Measure Dr. Neal, WKU We ow shall apply the results obtaied about outer measure to the legth measure o the real lie. Throughout, our space X will be the set of real umbers R. Whe ecessary,

More information

NUCLEATION 7.1 INTRODUCTION 7.2 HOMOGENEOUS NUCLEATION Embryos and nuclei CHAPTER 7

NUCLEATION 7.1 INTRODUCTION 7.2 HOMOGENEOUS NUCLEATION Embryos and nuclei CHAPTER 7 CHAPER 7 NUCLEAION 7.1 INRODUCION I this text, we focus our attetio o crystallie solids that form from the melt. he process begis with the creatio of a cluster of atoms of crystallie structure, which may

More information

Probability, Expectation Value and Uncertainty

Probability, Expectation Value and Uncertainty Chapter 1 Probability, Expectatio Value ad Ucertaity We have see that the physically observable properties of a quatum system are represeted by Hermitea operators (also referred to as observables ) such

More information

Chapter 1. Complex Numbers. Dr. Pulak Sahoo

Chapter 1. Complex Numbers. Dr. Pulak Sahoo Chapter 1 Complex Numbers BY Dr. Pulak Sahoo Assistat Professor Departmet of Mathematics Uiversity Of Kalyai West Begal, Idia E-mail : sahoopulak1@gmail.com 1 Module-2: Stereographic Projectio 1 Euler

More information

Hydrogen (atoms, molecules) in external fields. Static electric and magnetic fields Oscyllating electromagnetic fields

Hydrogen (atoms, molecules) in external fields. Static electric and magnetic fields Oscyllating electromagnetic fields Hydroge (atoms, molecules) i exteral fields Static electric ad magetic fields Oscyllatig electromagetic fields Everythig said up to ow has to be modified more or less strogly if we cosider atoms (ad ios)

More information

FIR Filters. Lecture #7 Chapter 5. BME 310 Biomedical Computing - J.Schesser

FIR Filters. Lecture #7 Chapter 5. BME 310 Biomedical Computing - J.Schesser FIR Filters Lecture #7 Chapter 5 8 What Is this Course All About? To Gai a Appreciatio of the Various Types of Sigals ad Systems To Aalyze The Various Types of Systems To Lear the Skills ad Tools eeded

More information

Polymers. One of the most remarkable and useful polymers known is Teflon, formed via polymerization of tetrafluoroethylene as shown below:

Polymers. One of the most remarkable and useful polymers known is Teflon, formed via polymerization of tetrafluoroethylene as shown below: Experimet 8 Chem 276 Fall Semester 2010 Page 1 of 5 Polymers Itroductio A polymer is a gigatic chailike molecule made by coectig may small molecules, kow as moomers. The process by which polymers are formed

More information

Problem 1. Problem Engineering Dynamics Problem Set 9--Solution. Find the equation of motion for the system shown with respect to:

Problem 1. Problem Engineering Dynamics Problem Set 9--Solution. Find the equation of motion for the system shown with respect to: 2.003 Egieerig Dyamics Problem Set 9--Solutio Problem 1 Fid the equatio of motio for the system show with respect to: a) Zero sprig force positio. Draw the appropriate free body diagram. b) Static equilibrium

More information

ECE 8527: Introduction to Machine Learning and Pattern Recognition Midterm # 1. Vaishali Amin Fall, 2015

ECE 8527: Introduction to Machine Learning and Pattern Recognition Midterm # 1. Vaishali Amin Fall, 2015 ECE 8527: Itroductio to Machie Learig ad Patter Recogitio Midterm # 1 Vaishali Ami Fall, 2015 tue39624@temple.edu Problem No. 1: Cosider a two-class discrete distributio problem: ω 1 :{[0,0], [2,0], [2,2],

More information

COMM 602: Digital Signal Processing

COMM 602: Digital Signal Processing COMM 60: Digital Sigal Processig Lecture 4 -Properties of LTIS Usig Z-Trasform -Iverse Z-Trasform Properties of LTIS Usig Z-Trasform Properties of LTIS Usig Z-Trasform -ve +ve Properties of LTIS Usig Z-Trasform

More information

Samples questions on Polymer Chemistry

Samples questions on Polymer Chemistry Samples questios o Polymer Chemistry Symbols carry usual meaigs Module 1: Lecture 1-3 1. For a polydisperse polymer sample rak the M, M w, M z, ad M v accordig to their values. I 10 g of a polystyree sample

More information

CEE 522 Autumn Uncertainty Concepts for Geotechnical Engineering

CEE 522 Autumn Uncertainty Concepts for Geotechnical Engineering CEE 5 Autum 005 Ucertaity Cocepts for Geotechical Egieerig Basic Termiology Set A set is a collectio of (mutually exclusive) objects or evets. The sample space is the (collectively exhaustive) collectio

More information

(A sequence also can be thought of as the list of function values attained for a function f :ℵ X, where f (n) = x n for n 1.) x 1 x N +k x N +4 x 3

(A sequence also can be thought of as the list of function values attained for a function f :ℵ X, where f (n) = x n for n 1.) x 1 x N +k x N +4 x 3 MATH 337 Sequeces Dr. Neal, WKU Let X be a metric space with distace fuctio d. We shall defie the geeral cocept of sequece ad limit i a metric space, the apply the results i particular to some special

More information

CHAPTER 10 INFINITE SEQUENCES AND SERIES

CHAPTER 10 INFINITE SEQUENCES AND SERIES CHAPTER 10 INFINITE SEQUENCES AND SERIES 10.1 Sequeces 10.2 Ifiite Series 10.3 The Itegral Tests 10.4 Compariso Tests 10.5 The Ratio ad Root Tests 10.6 Alteratig Series: Absolute ad Coditioal Covergece

More information

Unit 5. Gases (Answers)

Unit 5. Gases (Answers) Uit 5. Gases (Aswers) Upo successful completio of this uit, the studets should be able to: 5. Describe what is meat by gas pressure.. The ca had a small amout of water o the bottom to begi with. Upo heatig

More information

Principle Of Superposition

Principle Of Superposition ecture 5: PREIMINRY CONCEP O RUCUR NYI Priciple Of uperpositio Mathematically, the priciple of superpositio is stated as ( a ) G( a ) G( ) G a a or for a liear structural system, the respose at a give

More information

MTH Assignment 1 : Real Numbers, Sequences

MTH Assignment 1 : Real Numbers, Sequences MTH -26 Assigmet : Real Numbers, Sequeces. Fid the supremum of the set { m m+ : N, m Z}. 2. Let A be a o-empty subset of R ad α R. Show that α = supa if ad oly if α is ot a upper boud of A but α + is a

More information

Week 5-6: The Binomial Coefficients

Week 5-6: The Binomial Coefficients Wee 5-6: The Biomial Coefficiets March 6, 2018 1 Pascal Formula Theorem 11 (Pascal s Formula For itegers ad such that 1, ( ( ( 1 1 + 1 The umbers ( 2 ( 1 2 ( 2 are triagle umbers, that is, The petago umbers

More information

Analytic Theory of Probabilities

Analytic Theory of Probabilities Aalytic Theory of Probabilities PS Laplace Book II Chapter II, 4 pp 94 03 4 A lottery beig composed of umbered tickets of which r exit at each drawig, oe requires the probability that after i drawigs all

More information

Pattern Classification, Ch4 (Part 1)

Pattern Classification, Ch4 (Part 1) Patter Classificatio All materials i these slides were take from Patter Classificatio (2d ed) by R O Duda, P E Hart ad D G Stork, Joh Wiley & Sos, 2000 with the permissio of the authors ad the publisher

More information

Beurling Integers: Part 2

Beurling Integers: Part 2 Beurlig Itegers: Part 2 Isomorphisms Devi Platt July 11, 2015 1 Prime Factorizatio Sequeces I the last article we itroduced the Beurlig geeralized itegers, which ca be represeted as a sequece of real umbers

More information

Infinite Sequences and Series

Infinite Sequences and Series Chapter 6 Ifiite Sequeces ad Series 6.1 Ifiite Sequeces 6.1.1 Elemetary Cocepts Simply speakig, a sequece is a ordered list of umbers writte: {a 1, a 2, a 3,...a, a +1,...} where the elemets a i represet

More information

For example suppose we divide the interval [0,2] into 5 equal subintervals of length

For example suppose we divide the interval [0,2] into 5 equal subintervals of length Math 1206 Calculus Sec 1: Estimatig with Fiite Sums Abbreviatios: wrt with respect to! for all! there exists! therefore Def defiitio Th m Theorem sol solutio! perpedicular iff or! if ad oly if pt poit

More information

This lecture: Crystallization and Melting. Next Lecture: The Glass Transition Temperature

This lecture: Crystallization and Melting. Next Lecture: The Glass Transition Temperature Thermal Transitions: Crystallization, Melting and the Glass Transition This lecture: Crystallization and Melting Next Lecture: The Glass Transition Temperature Today: Why do polymers crystallize in a chain

More information

The axial dispersion model for tubular reactors at steady state can be described by the following equations: dc dz R n cn = 0 (1) (2) 1 d 2 c.

The axial dispersion model for tubular reactors at steady state can be described by the following equations: dc dz R n cn = 0 (1) (2) 1 d 2 c. 5.4 Applicatio of Perturbatio Methods to the Dispersio Model for Tubular Reactors The axial dispersio model for tubular reactors at steady state ca be described by the followig equatios: d c Pe dz z =

More information

Kinetics of Complex Reactions

Kinetics of Complex Reactions Kietics of Complex Reactios by Flick Colema Departmet of Chemistry Wellesley College Wellesley MA 28 wcolema@wellesley.edu Copyright Flick Colema 996. All rights reserved. You are welcome to use this documet

More information

Chapter 7: The z-transform. Chih-Wei Liu

Chapter 7: The z-transform. Chih-Wei Liu Chapter 7: The -Trasform Chih-Wei Liu Outlie Itroductio The -Trasform Properties of the Regio of Covergece Properties of the -Trasform Iversio of the -Trasform The Trasfer Fuctio Causality ad Stability

More information

INF-GEO Solutions, Geometrical Optics, Part 1

INF-GEO Solutions, Geometrical Optics, Part 1 INF-GEO430 20 Solutios, Geometrical Optics, Part Reflectio by a symmetric triagular prism Let be the agle betwee the two faces of a symmetric triagular prism. Let the edge A where the two faces meet be

More information

Chapter 7 z-transform

Chapter 7 z-transform Chapter 7 -Trasform Itroductio Trasform Uilateral Trasform Properties Uilateral Trasform Iversio of Uilateral Trasform Determiig the Frequecy Respose from Poles ad Zeros Itroductio Role i Discrete-Time

More information

Chapter 3. Strong convergence. 3.1 Definition of almost sure convergence

Chapter 3. Strong convergence. 3.1 Definition of almost sure convergence Chapter 3 Strog covergece As poited out i the Chapter 2, there are multiple ways to defie the otio of covergece of a sequece of radom variables. That chapter defied covergece i probability, covergece i

More information

The multiplicative structure of finite field and a construction of LRC

The multiplicative structure of finite field and a construction of LRC IERG6120 Codig for Distributed Storage Systems Lecture 8-06/10/2016 The multiplicative structure of fiite field ad a costructio of LRC Lecturer: Keeth Shum Scribe: Zhouyi Hu Notatios: We use the otatio

More information

LECTURE 14. Non-linear transverse motion. Non-linear transverse motion

LECTURE 14. Non-linear transverse motion. Non-linear transverse motion LETURE 4 No-liear trasverse motio Floquet trasformatio Harmoic aalysis-oe dimesioal resoaces Two-dimesioal resoaces No-liear trasverse motio No-liear field terms i the trajectory equatio: Trajectory equatio

More information

A Brief Introduction to the Physical Basis for Electron Spin Resonance

A Brief Introduction to the Physical Basis for Electron Spin Resonance A Brief Itroductio to the Physical Basis for Electro Spi Resoace I ESR measuremets, the sample uder study is exposed to a large slowly varyig magetic field ad a microwave frequecy magetic field orieted

More information

6.895 Essential Coding Theory October 20, Lecture 11. This lecture is focused in comparisons of the following properties/parameters of a code:

6.895 Essential Coding Theory October 20, Lecture 11. This lecture is focused in comparisons of the following properties/parameters of a code: 6.895 Essetial Codig Theory October 0, 004 Lecture 11 Lecturer: Madhu Suda Scribe: Aastasios Sidiropoulos 1 Overview This lecture is focused i comparisos of the followig properties/parameters of a code:

More information

Chapter 13. Elastomers Entropy Springs Naive 1-D Elastomer

Chapter 13. Elastomers Entropy Springs Naive 1-D Elastomer I wat to say oe word to you. Just oe word. Yes, sir. Are you listeig? Yes, I am. Plastics. The Graduate (1968) Chapter 13 Elastomers Etropy Sprigs 13.1 aive 1-D Elastomer Differeces i elastic behaviors

More information

AME 513. " Lecture 3 Chemical thermodynamics I 2 nd Law

AME 513.  Lecture 3 Chemical thermodynamics I 2 nd Law AME 513 Priciples of Combustio " Lecture 3 Chemical thermodyamics I 2 d Law Outlie" Why do we eed to ivoke chemical equilibrium? Degrees Of Reactio Freedom (DORFs) Coservatio of atoms Secod Law of Thermodyamics

More information

PHYS-505 Parity and other Discrete Symmetries Lecture-7!

PHYS-505 Parity and other Discrete Symmetries Lecture-7! PHYS-505 Parity ad other Discrete Symmetries Lecture-7! 1 Discrete Symmetries So far we have cosidered cotiuous symmetry operators that is, operatios that ca be obtaied by applyig successively ifiitesimal

More information

SINGLE-CHANNEL QUEUING PROBLEMS APPROACH

SINGLE-CHANNEL QUEUING PROBLEMS APPROACH SINGLE-CHANNEL QUEUING ROBLEMS AROACH Abdurrzzag TAMTAM, Doctoral Degree rogramme () Dept. of Telecommuicatios, FEEC, BUT E-mail: xtamta@stud.feec.vutbr.cz Supervised by: Dr. Karol Molár ABSTRACT The paper

More information

Effect of crystallinity on properties. Melting temperature. Melting temperature. Melting temperature. Why?

Effect of crystallinity on properties. Melting temperature. Melting temperature. Melting temperature. Why? Effect of crystallinity on properties The morphology of most polymers is semi-crystalline. That is, they form mixtures of small crystals and amorphous material and melt over a range of temperature instead

More information

Chapter 6 Infinite Series

Chapter 6 Infinite Series Chapter 6 Ifiite Series I the previous chapter we cosidered itegrals which were improper i the sese that the iterval of itegratio was ubouded. I this chapter we are goig to discuss a topic which is somewhat

More information

A Recurrence Formula for Packing Hyper-Spheres

A Recurrence Formula for Packing Hyper-Spheres A Recurrece Formula for Packig Hyper-Spheres DokeyFt. Itroductio We cosider packig of -D hyper-spheres of uit diameter aroud a similar sphere. The kissig spheres ad the kerel sphere form cells of equilateral

More information

EECS564 Estimation, Filtering, and Detection Hwk 2 Solns. Winter p θ (z) = (2θz + 1 θ), 0 z 1

EECS564 Estimation, Filtering, and Detection Hwk 2 Solns. Winter p θ (z) = (2θz + 1 θ), 0 z 1 EECS564 Estimatio, Filterig, ad Detectio Hwk 2 Sols. Witer 25 4. Let Z be a sigle observatio havig desity fuctio where. p (z) = (2z + ), z (a) Assumig that is a oradom parameter, fid ad plot the maximum

More information

Chimica Inorganica 3

Chimica Inorganica 3 himica Iorgaica Irreducible Represetatios ad haracter Tables Rather tha usig geometrical operatios, it is ofte much more coveiet to employ a ew set of group elemets which are matrices ad to make the rule

More information

Assignment 1 : Real Numbers, Sequences. for n 1. Show that (x n ) converges. Further, by observing that x n+2 + x n+1

Assignment 1 : Real Numbers, Sequences. for n 1. Show that (x n ) converges. Further, by observing that x n+2 + x n+1 Assigmet : Real Numbers, Sequeces. Let A be a o-empty subset of R ad α R. Show that α = supa if ad oly if α is ot a upper boud of A but α + is a upper boud of A for every N. 2. Let y (, ) ad x (, ). Evaluate

More information

Lecture 6. Semiconductor physics IV. The Semiconductor in Equilibrium

Lecture 6. Semiconductor physics IV. The Semiconductor in Equilibrium Lecture 6 Semicoductor physics IV The Semicoductor i Equilibrium Equilibrium, or thermal equilibrium No exteral forces such as voltages, electric fields. Magetic fields, or temperature gradiets are actig

More information

Math 216A Notes, Week 5

Math 216A Notes, Week 5 Math 6A Notes, Week 5 Scribe: Ayastassia Sebolt Disclaimer: These otes are ot early as polished (ad quite possibly ot early as correct) as a published paper. Please use them at your ow risk.. Thresholds

More information

Lesson 10: Limits and Continuity

Lesson 10: Limits and Continuity www.scimsacademy.com Lesso 10: Limits ad Cotiuity SCIMS Academy 1 Limit of a fuctio The cocept of limit of a fuctio is cetral to all other cocepts i calculus (like cotiuity, derivative, defiite itegrals

More information

Statistical Pattern Recognition

Statistical Pattern Recognition Statistical Patter Recogitio Classificatio: No-Parametric Modelig Hamid R. Rabiee Jafar Muhammadi Sprig 2014 http://ce.sharif.edu/courses/92-93/2/ce725-2/ Ageda Parametric Modelig No-Parametric Modelig

More information

Discrete Mathematics and Probability Theory Summer 2014 James Cook Note 15

Discrete Mathematics and Probability Theory Summer 2014 James Cook Note 15 CS 70 Discrete Mathematics ad Probability Theory Summer 2014 James Cook Note 15 Some Importat Distributios I this ote we will itroduce three importat probability distributios that are widely used to model

More information

A gentle introduction to Measure Theory

A gentle introduction to Measure Theory A getle itroductio to Measure Theory Gaurav Chadalia Departmet of Computer ciece ad Egieerig UNY - Uiversity at Buffalo, Buffalo, NY gsc4@buffalo.edu March 12, 2007 Abstract This ote itroduces the basic

More information

(6) Fundamental Sampling Distribution and Data Discription

(6) Fundamental Sampling Distribution and Data Discription 34 Stat Lecture Notes (6) Fudametal Samplig Distributio ad Data Discriptio ( Book*: Chapter 8,pg5) Probability& Statistics for Egieers & Scietists By Walpole, Myers, Myers, Ye 8.1 Radom Samplig: Populatio:

More information

Lecture 4. We also define the set of possible values for the random walk as the set of all x R d such that P(S n = x) > 0 for some n.

Lecture 4. We also define the set of possible values for the random walk as the set of all x R d such that P(S n = x) > 0 for some n. Radom Walks ad Browia Motio Tel Aviv Uiversity Sprig 20 Lecture date: Mar 2, 20 Lecture 4 Istructor: Ro Peled Scribe: Lira Rotem This lecture deals primarily with recurrece for geeral radom walks. We preset

More information

A sequence of numbers is a function whose domain is the positive integers. We can see that the sequence

A sequence of numbers is a function whose domain is the positive integers. We can see that the sequence Sequeces A sequece of umbers is a fuctio whose domai is the positive itegers. We ca see that the sequece,, 2, 2, 3, 3,... is a fuctio from the positive itegers whe we write the first sequece elemet as

More information

Deterministic Model of Multipath Fading for Circular and Parabolic Reflector Patterns

Deterministic Model of Multipath Fading for Circular and Parabolic Reflector Patterns To appear i the Proceedigs of the 5 IEEE outheastco, (Ft. Lauderdale, FL), April 5 Determiistic Model of Multipath Fadig for Circular ad Parabolic Reflector Patters Dwight K. Hutcheso dhutche@clemso.edu

More information

POLYMER SCIENCE and TECHNOLOGY I

POLYMER SCIENCE and TECHNOLOGY I POLYMER SCIENCE ad TECHNOLOGY I Dr. Işıl Gerçek Beşkardeş 2018 What is the greatest cotributio of chemistry to sciece ad society? Developmet of POLYMERIZATION is oe of the biggest ivetios chemistry has

More information

Review Sheet for Final Exam

Review Sheet for Final Exam Sheet for ial To study for the exam, we suggest you look through the past review sheets, exams ad homework assigmets, ad idetify the topics that you most eed to work o. To help with this, the table give

More information

62. Power series Definition 16. (Power series) Given a sequence {c n }, the series. c n x n = c 0 + c 1 x + c 2 x 2 + c 3 x 3 +

62. Power series Definition 16. (Power series) Given a sequence {c n }, the series. c n x n = c 0 + c 1 x + c 2 x 2 + c 3 x 3 + 62. Power series Defiitio 16. (Power series) Give a sequece {c }, the series c x = c 0 + c 1 x + c 2 x 2 + c 3 x 3 + is called a power series i the variable x. The umbers c are called the coefficiets of

More information

Chapter 14: Chemical Equilibrium

Chapter 14: Chemical Equilibrium hapter 14: hemical Equilibrium 46 hapter 14: hemical Equilibrium Sectio 14.1: Itroductio to hemical Equilibrium hemical equilibrium is the state where the cocetratios of all reactats ad products remai

More information

Chapter Vectors

Chapter Vectors Chapter 4. Vectors fter readig this chapter you should be able to:. defie a vector. add ad subtract vectors. fid liear combiatios of vectors ad their relatioship to a set of equatios 4. explai what it

More information

P Conducting polymers information sheet: page 1 of 5. Intrinsically conducting polymers

P Conducting polymers information sheet: page 1 of 5. Intrinsically conducting polymers oductig polymers iformatio sheet Most textbooks idicate that oe of the most importat properties of polymers is that they are electrical isulators they are used for coverig electrical cables, the bodies

More information

Overview. p 2. Chapter 9. Pooled Estimate of. q = 1 p. Notation for Two Proportions. Inferences about Two Proportions. Assumptions

Overview. p 2. Chapter 9. Pooled Estimate of. q = 1 p. Notation for Two Proportions. Inferences about Two Proportions. Assumptions Chapter 9 Slide Ifereces from Two Samples 9- Overview 9- Ifereces about Two Proportios 9- Ifereces about Two Meas: Idepedet Samples 9-4 Ifereces about Matched Pairs 9-5 Comparig Variatio i Two Samples

More information

Power Series: A power series about the center, x = 0, is a function of x of the form

Power Series: A power series about the center, x = 0, is a function of x of the form You are familiar with polyomial fuctios, polyomial that has ifiitely may terms. 2 p ( ) a0 a a 2 a. A power series is just a Power Series: A power series about the ceter, = 0, is a fuctio of of the form

More information

Sequences A sequence of numbers is a function whose domain is the positive integers. We can see that the sequence

Sequences A sequence of numbers is a function whose domain is the positive integers. We can see that the sequence Sequeces A sequece of umbers is a fuctio whose domai is the positive itegers. We ca see that the sequece 1, 1, 2, 2, 3, 3,... is a fuctio from the positive itegers whe we write the first sequece elemet

More information

Statisticians use the word population to refer the total number of (potential) observations under consideration

Statisticians use the word population to refer the total number of (potential) observations under consideration 6 Samplig Distributios Statisticias use the word populatio to refer the total umber of (potetial) observatios uder cosideratio The populatio is just the set of all possible outcomes i our sample space

More information

Name Solutions to Test 2 October 14, 2015

Name Solutions to Test 2 October 14, 2015 Name Solutios to Test October 4, 05 This test cosists of three parts. Please ote that i parts II ad III, you ca skip oe questio of those offered. The equatios below may be helpful with some problems. Costats

More information

Topic 18: Composite Hypotheses

Topic 18: Composite Hypotheses Toc 18: November, 211 Simple hypotheses limit us to a decisio betwee oe of two possible states of ature. This limitatio does ot allow us, uder the procedures of hypothesis testig to address the basic questio:

More information

Fundamental Concepts: Surfaces and Curves

Fundamental Concepts: Surfaces and Curves UNDAMENTAL CONCEPTS: SURACES AND CURVES CHAPTER udametal Cocepts: Surfaces ad Curves. INTRODUCTION This chapter describes two geometrical objects, vi., surfaces ad curves because the pla a ver importat

More information

Algebra of Least Squares

Algebra of Least Squares October 19, 2018 Algebra of Least Squares Geometry of Least Squares Recall that out data is like a table [Y X] where Y collects observatios o the depedet variable Y ad X collects observatios o the k-dimesioal

More information

Jacob Hays Amit Pillay James DeFelice 4.1, 4.2, 4.3

Jacob Hays Amit Pillay James DeFelice 4.1, 4.2, 4.3 No-Parametric Techiques Jacob Hays Amit Pillay James DeFelice 4.1, 4.2, 4.3 Parametric vs. No-Parametric Parametric Based o Fuctios (e.g Normal Distributio) Uimodal Oly oe peak Ulikely real data cofies

More information

Announcements, Nov. 19 th

Announcements, Nov. 19 th Aoucemets, Nov. 9 th Lecture PRS Quiz topic: results Chemical through Kietics July 9 are posted o the course website. Chec agaist Kietics LabChec agaist Kietics Lab O Fial Exam, NOT 3 Review Exam 3 ad

More information

HOMEWORK #10 SOLUTIONS

HOMEWORK #10 SOLUTIONS Math 33 - Aalysis I Sprig 29 HOMEWORK # SOLUTIONS () Prove that the fuctio f(x) = x 3 is (Riema) itegrable o [, ] ad show that x 3 dx = 4. (Without usig formulae for itegratio that you leart i previous

More information

What is Physical Chemistry. Physical Chemistry for Chemical Engineers CHEM251. Basic Characteristics of a Gas

What is Physical Chemistry. Physical Chemistry for Chemical Engineers CHEM251. Basic Characteristics of a Gas 7/6/0 hysical Chemistry for Chemical Egieers CHEM5 What is hysical Chemistry hysical Chemistry is the study of the uderlyig physical priciples that gover the properties ad behaviour of chemical systems

More information

Matsubara-Green s Functions

Matsubara-Green s Functions Matsubara-Gree s Fuctios Time Orderig : Cosider the followig operator If H = H the we ca trivially factorise this as, E(s = e s(h+ E(s = e sh e s I geeral this is ot true. However for practical applicatio

More information

TOPIC 7. Polymeric materials

TOPIC 7. Polymeric materials Universidad Carlos III de Madrid www.uc3m.es MATERIALS SCIENCE AND ENGINEERING TOPIC 7. Polymeric materials 1. Introduction Definition General characteristics Historic introduction Polymers: Examples 2.

More information

Section 1.1. Calculus: Areas And Tangents. Difference Equations to Differential Equations

Section 1.1. Calculus: Areas And Tangents. Difference Equations to Differential Equations Differece Equatios to Differetial Equatios Sectio. Calculus: Areas Ad Tagets The study of calculus begis with questios about chage. What happes to the velocity of a swigig pedulum as its positio chages?

More information

CONFIDENCE INTERVALS STUDY GUIDE

CONFIDENCE INTERVALS STUDY GUIDE CONFIDENCE INTERVALS STUDY UIDE Last uit, we discussed how sample statistics vary. Uder the right coditios, sample statistics like meas ad proportios follow a Normal distributio, which allows us to calculate

More information

is also known as the general term of the sequence

is also known as the general term of the sequence Lesso : Sequeces ad Series Outlie Objectives: I ca determie whether a sequece has a patter. I ca determie whether a sequece ca be geeralized to fid a formula for the geeral term i the sequece. I ca determie

More information

ALDEHYDES AND KETONES

ALDEHYDES AND KETONES ALDEHYDES AND KETONES Itroductio The group C=O is kow as carboyl group. This group is foud i aldehydes, ketoes, carboxylic acids, esters ad acid derivatives. I this group carbo atom makes sp hybridizatio.

More information

x a x a Lecture 2 Series (See Chapter 1 in Boas)

x a x a Lecture 2 Series (See Chapter 1 in Boas) Lecture Series (See Chapter i Boas) A basic ad very powerful (if pedestria, recall we are lazy AD smart) way to solve ay differetial (or itegral) equatio is via a series expasio of the correspodig solutio

More information

Fall 2013 MTH431/531 Real analysis Section Notes

Fall 2013 MTH431/531 Real analysis Section Notes Fall 013 MTH431/531 Real aalysis Sectio 8.1-8. Notes Yi Su 013.11.1 1. Defiitio of uiform covergece. We look at a sequece of fuctios f (x) ad study the coverget property. Notice we have two parameters

More information

Discrete Mathematics for CS Spring 2008 David Wagner Note 22

Discrete Mathematics for CS Spring 2008 David Wagner Note 22 CS 70 Discrete Mathematics for CS Sprig 2008 David Wager Note 22 I.I.D. Radom Variables Estimatig the bias of a coi Questio: We wat to estimate the proportio p of Democrats i the US populatio, by takig

More information

ANSWERS SOLUTIONS iiii i. and 1. Thus, we have. i i i. i, A.

ANSWERS SOLUTIONS iiii i. and 1. Thus, we have. i i i. i, A. 013 ΜΑΘ Natioal Covetio ANSWERS (1) C A A A B (6) B D D A B (11) C D D A A (16) D B A A C (1) D B C B C (6) D C B C C 1. We have SOLUTIONS 1 3 11 61 iiii 131161 i 013 013, C.. The powers of i cycle betwee

More information

Finally, we show how to determine the moments of an impulse response based on the example of the dispersion model.

Finally, we show how to determine the moments of an impulse response based on the example of the dispersion model. 5.3 Determiatio of Momets Fially, we show how to determie the momets of a impulse respose based o the example of the dispersio model. For the dispersio model we have that E θ (θ ) curve is give by eq (4).

More information

page Suppose that S 0, 1 1, 2.

page Suppose that S 0, 1 1, 2. page 10 1. Suppose that S 0, 1 1,. a. What is the set of iterior poits of S? The set of iterior poits of S is 0, 1 1,. b. Give that U is the set of iterior poits of S, evaluate U. 0, 1 1, 0, 1 1, S. The

More information

EXPERIMENT OF SIMPLE VIBRATION

EXPERIMENT OF SIMPLE VIBRATION EXPERIMENT OF SIMPLE VIBRATION. PURPOSE The purpose of the experimet is to show free vibratio ad damped vibratio o a system havig oe degree of freedom ad to ivestigate the relatioship betwee the basic

More information

Random Models. Tusheng Zhang. February 14, 2013

Random Models. Tusheng Zhang. February 14, 2013 Radom Models Tusheg Zhag February 14, 013 1 Radom Walks Let me describe the model. Radom walks are used to describe the motio of a movig particle (object). Suppose that a particle (object) moves alog the

More information

Disjoint set (Union-Find)

Disjoint set (Union-Find) CS124 Lecture 7 Fall 2018 Disjoit set (Uio-Fid) For Kruskal s algorithm for the miimum spaig tree problem, we foud that we eeded a data structure for maitaiig a collectio of disjoit sets. That is, we eed

More information