GMS Equations From Irreversible Thermodynamics

Size: px
Start display at page:

Download "GMS Equations From Irreversible Thermodynamics"

Transcription

1 GMS Equatios From Irreversible hermodyamics ChE 6603 Refereces E. N. Lightfoot, rasport Pheomea ad Livig Systems, McGraw-Hill, New York R. B. Bird, W. E. Stewart ad E. N. Lightfoot, rasport Pheomea 2 d ed., Chapter 24 McGraw-Hill, New York D. Jou, J. Casas-Vazquez, Exteded Irreversible hermodyamics, Spriger-Verlag, Berli R. aylor, R. Krisha Multicompoet Mass rasfer, Joh Wiley & Sos, R. Haase, hermodyamics of Irreversible Processes, Addiso-Wesley, Lodo,

2 Outlie Etropy, Etropy trasport Etropy productio: forces & fluxes Species diffusive fluxes & the Geeralized Maxwell-Stefa Equatios Heat flux hermodyamic oidealities & the hermodyamic Factor Example: the ultracetrifuge Fick s law (the full versio) Review 2

3 A Perspective Referece velocities Allows us to separate a species flux ito covective ad diffusive compoets. Goverig equatios Describe coservatio of mass, mometum, eergy at the cotiuum scale. GMS equatios Provide a geeral relatioship betwee species diffusio fluxes ad diffusio drivig force(s). So far, we ve assumed: Ideal mixtures (ielastic collisios) small pressure gradiets Goal: obtai a more geeral form of the GMS equatios that represets more physics Body forces actig differetly o differet species (e.g. electromagetic fields) Noideal mixtures Large pressure gradiets (cetrifugal separatios) 3

4 Etropy Etropy differetial: ds =de + pdv otal (substatial/material) derivative: D Dt t + v µ i dω i µ i = µ i /M i e v Chemical potetial per uit mass Iteral eergy Specific volume ρ Ds Dt = ρde Dt + pρdv Dt ρ =1/v ρ Ds Dt = ρde Dt p ρ Dρ Dt µ i ρ Dω i Dt µ i ρ Dω i Dt ρ De Dt = q τ : v p v + f i j i Dρ Dt = ρ v ρ Dω i Dt = j i + σ i 4

5 Etropy rasport ρ Ds Dt = q τ : v p v + f i j i + p ρ ρ v = q τ : v + f i j i + µ i j i µ i σ i, µ i ( j i + σ i ), chai rule... (αβ) =α β + β α ρ Ds Dt = 1 1 µi q µ i j i + q j i 1 τ : v + 1 f i j i 1 µ i σ i rasport of s Productio of s 5

6 ρ Ds Dt = 1 q µ i j i rasport of s 1 µi + q j i 1 τ : v + 1 f i j i 1 µ i σ i Productio of s Now let s write this i the form: j s = 1 q µ i j i diffusive trasport of etropy 1 µi σ s = q j i 1 τ : v + 1 f i j i 1 µ i σ i, = q l µi j i 1 f i 1 τ : v 1 µ i σ i σ s = q l ρ Ds Dt = j s + σ s µi j i,p µ i + V i p f i τ : v M i Λ i Look at this term (etropy productio due to species diffusio) = µ i + 1 µ i p p + 1,p µ i, = 1 1 µ i M i p p +,p µ i, = 1 Vi p +,p µ i M i µ i σ i productio of etropy 6

7 Part of the Etropy Source erm j i,p µ i + V i p f i M i Λ i j i Λ i = cr d i = c i,p µ i +(φ i ω i ) p ω i ρ = j i Λ i 1 ρ p + ω k f k ρω i (u i v),p µ i + f i ω k f k k=1 k=1 Vi 1 p f i + M i ρ Why ca we add this arbitrary term? What does this term represet? ω k f k, = (u i v) c i,p µ i +(φ i ω i ) p ρω i f i ω k f k k=1, cr d i = cr d i (u i v), = cr 1 ρω i d i j i k=1 ω i M i = x i M φ i = c i Vi µ i = µ i M i From physical reasoig (recall d i represets force per uit volume drivig diffusio) or the Gibbs- Duhem equatio, j i = ρω i (u i v) V i Partial molar volume. d i =0 7

8 he Etropy Source erm - Summary ρ Ds Dt = j s + σ s j s = 1 q µ i j i σ s = q l = q l 1 From the previous slide: j i Λ i = cr d i j i cr d i = c i,p µ i +(φ i ω i ) p ω i ρ j i,p µ i + V i p f i τ : v M i Λ i cr d i j i τ : v µ i σ i f i ω k f k k=1 µ i σ i Iterpretatio of each term??? 8

9 σs Forces Fluxes σ s = q l cr d i j i τ : v µ i σ i Fudametal priciple of irreversible thermodyamics: σ s = α J α F α Flux, J α q j i τ Force, F α l cr v d i Fluxes are fuctios of: hermodyamic state variables:, p, ωi. Forces of same tesorial order (Curie s postulate) What does this mea? More soo J α = J α (F 1,F 2,...,F β ;, p, ω i ) J α = Jα F β + O (F β F γ ) F β β β L αβ F β L αβ J α F β L αβ = L βα Lαβ - Osager (pheomeological) coefficiets 9

10 Species Diffusive Fluxes esorial order of 1 ay vector force may cotribute. Idex form: Flux: J α q j i τ Force: F α l cr d i v -1 dimesioal matrix form From irreversible thermo: cr j i = L ij d j L iq l ρ j Fick s Law: j i = ρ D ij d j Di l Dij - Fickia diffusivity D i - hermal Diffusivity (j) = ρ [L](d)+ l (β q ) (j) = ρ[d](d) (D ) l Geeralized Maxwell-Stefa Equatios: x i x j ji d i = j j l ρð ij ω i ω j j=i α ij = 1 Ð ij x i x j αij j=i D i D i ρ j ρ(d) = [B o ](j) l [Υ](D ) 10

11 Costitutive Law: Heat Flux esorial order of 1 ay vector force may cotribute. q = L qq l L qi cr Flux: J α q j i τ Force: F α l cr d i v d i Choose L qq =λ to obtai Fourier s Law Dufuor effect - mass drivig force ca cause heat flux! Usually eglected. q = λ + Fourier h i j i Species + cr D x i x j ji j j ρ i Ð ij ρ j j=i Dufour here we have substituted the RHS of the GMS equatios for di. Note: the Dufour effect is usually eglected. he Species term is typically icluded here, eve though it does ot come from irreversible thermodyamics. Occasioally radiative terms are also icluded here... 11

12 Observatios o the GMS Equatios d i = cr d i = c i,p µ i +(φ i ω i ) p ω i ρ What have we gaied? hermal diffusio (Soret/Dufuor) & its origis. ypically eglected. Full diffusio drivig force Chemical potetial gradiet (rather tha mole fractio). More later. Pressure drivig force. Whe will φ i ω i? More later. Body force term. Does gravity eter here? x i J j x j J i cd ij l x i x j α ij f i k=1 ω k f k Osager coefficiets themselves ot too importat from a practical poit of view. Still do t kow how to get the biary diffusivities. 12

13 &K 2.2 he hermodyamic Factor, Γ µ i = µ i (, p, x j ) 1 µ i,p µ i = x j x P j,p, µ i (,p)=µ i + R l γ i x i Γ ij δ ij + x i l γ i x j d i = 1 d i = x i R,pµ i + 1 c t R (φ i ω i ) p,p,σ x i R,pµ i = x i R = x i R 1 = x i = = 1 1 Γ ij x j + 1 c t R (φ i ω i ) p 1 1 µ i x j x j,,p,σ R l γ ix i x j l x i x j + l γ i x j δ ij + x i l γ i x j Γ ij x j c t R c t R f i f i x j,,p,σ,p,σ ω k f k k=1,p,σ ω k f k k=1 x j, γ - Activity coefficiet May models available (see &K Appedix D) x j, Note: for ideal gas, p = c t R 13

14 &K Example: he Ultracetrifuge Used for separatig mixtures based o compoets molecular weight. Cosider a closed system... depleted i dese species Ω f = f i = Ω 2 r For a closed cetrifuge (o flow) with a kow iitial charge, what is the equilibrium species profile? 14

15 Species equatios: t = i + s i steady, 1D, o reactio i r =0 GMS Equatios: i = v r + j i,r =0 j i,r = J i,r =0 he geeralized diffusio drivig force: 1 d i = Γ ij x j + 1 c t R (φ i ω i ) p ω iρ c t R 1 d i = 0= 1 x i J j x j J i cd ij =0 dx j Γ ij dr = 1 c t R (ω i φ i ) dp dr Γ ij dx j dr + 1 c t R (φ i ω i ) dp dr ω iρ c t R f i Ω 2 r ω k f k k=1 ω k Ω 2 r k=1 For a ideal gas mixture, φi = xi, ad Γij = δij. dx i dr = 1 c t R (ω i x i ) dp dr We do t kow dp/dr or xi0 (compositio at r = 0). 15

16 Species mole balace: dx i dr = 1 c t R (ω i x i ) dp dr rl 0 cx i 2πr dr = rl 0 c x i 2πr dr * idicates the iitial coditio (pure stream). For species i, rl 0 px i r dr = p x i r 2 L 2 Must kow p(r) ad xi(r) to itegrate this. Species mole balace costrais the species profile solutio (dictates the species boudary coditio) Mometum: ρv t at steady state (o flow): = (ρvv) τ p + ρ dp dr = ρ dp dr = ρω2 r = pm R Ω2 r ω i f r,i = ρω 2 r ω i f i We do t kow p0 (pressure at r = 0). he mometum equatio gives the pressure profile, but is coupled to the species equatios through M. 16

17 otal mole balace (at equilibrium): rl 0 rl 0 V c dv = V cr dr = c r2 L 2 pr dr = p r2 L 2 c dv * idicates the iitial coditio (pure stream). dv = L2πrdr c = p R Substitute p(r) ad solve this for p0... otal mole balace costrais the pressure solutio (dictates the pressure boudary coditio) Solve these equatios: With these costraits: dx i dr = M R (ω i x i )Ω 2 r rl 0 px i r dr = p x i r 2 L 2 dp dr = ρω2 r = pm R Ω2 r rl 0 pr dr = p r2 L 2 Note: M couples all of the equatios together ad makes them oliear. Optio A: 1. Guess xi0, p0. 2. Numerically solve the ODEs for xi, p. 3. Are the costraits met? If ot, retur to step 1. Optio B: ry to simplify the problem by makig approximatios. Note: for tips o solvig ODEs umerically i Matlab, see my wiki page. 17

18 Example: separatio of Air ito N2, O2. Cetrifuge diameter: 20 cm Approximatio Level 1 Approximate M as costat, (MO2+MN2)/2, for the pressure equatio oly. his decouples the pressure solutio from the species ad gives a easy aalytic solutio for pressure profile. Solve species equatios umerically, give the aalytic pressure profile. Air iitially at SP Approximatio Level 2 Approximate M as costat, (MO2+MN2)/2, for the species ad pressure equatios. Obtai a fully aalytic solutio for both species ad pressure. p (atm) 1e1 1 1e 2 1e RPM 50,000 RPM 100,000 RPM 150,000 RPM fully umeric costat M r (m) O 2 Mole Fractio ,000 RPM 50,000 RPM 100,000 RPM 500,000 RPM umeric approximate 1 approximate r (m) 18

19 d i = d i = = 1 Fick s Law (revisited) x i x j ρd ij ji ω i j j ω j x j J i x i J j cd ij Igorig thermal diffusio, Notes: [D]=[B] -1 [Γ] l Γ ij x j + 1 c t R (φ i ω i ) p (J) = c[b] 1 [Γ]( x) 1 l c t R For ideal mixtures: [Γ]=[I] x i x j αij I the biary case: D11=Γ11Ð12 x i x j α ij J = c[b] 1 (d) l (D ) f i ω k f k k=1 p R [B] 1 ((φ) (ω)) 2 his is the same [B] matrix as before (&K eq ) ρ R [B] 1 [ω] ((f) [ω](f + f )) 3 How do we iterpret each term? Whe is each term importat? 19

20 Review: Where we are, where we re goig Accomplishmets Defied referece velocities ad diffusio fluxes Goverig equatios for multicompoet, reactig flow. mass-averaged velocity Established a rigorous way to compute the diffusive fluxes from first priciples. Ca hadle diffusio i systems of arbitrary complexity, icludig: oideal mixtures, EM fields, large pressure & temperature gradiets, multiple species, chemical reactio, etc. Simplificatios for ideal mixtures, egligible pressure gradiets, etc. Solutios for simple problems. Still Missig: Models for biary diffusivities. Give a model, we are good to go! Roadmap: Models for biary diffusivities. (&K Chapter 4) - we wo t cover this... Simplified models for multicompoet diffusio Iterphase mass trasfer (surface discotiuities) urbulece - models for diffusio i turbulet flow. Combied heat, mass, mometum trasfer. 20

GMS Equations From Irreversible Thermodynamics

GMS Equations From Irreversible Thermodynamics GMS Equatos From Irreversble hermodyamcs ChE 6603 Refereces E. N. Lghtfoot, rasport Pheomea ad Lvg Systems, McGraw-Hll, New York 978. R. B. Brd, W. E. Stewart ad E. N. Lghtfoot, rasport Pheomea 2 d ed.,

More information

Fluxes in Multicomponent Systems

Fluxes in Multicomponent Systems Fluxes i Multicompoet Systems ChE 6603 Taylor & Krisha 1.1-1.2 Friday, Jauary 14, 2011 1 Outlie Referece velocities Types of fluxes (total, covective, diffusive) Total fluxes Diffusive Fluxes Example Coversio

More information

Governing Equations for Multicomponent Systems. ChEn 6603

Governing Equations for Multicomponent Systems. ChEn 6603 Goverig Equatios for Multicompoet Systems ChE 6603 1 Outlie Prelimiaries: Derivatives Reyols trasport theorem (relatig Lagragia a Euleria) Divergece Theorem Goverig equatios total mass, species mass, mometum,

More information

Multicomponent-Liquid-Fuel Vaporization with Complex Configuration

Multicomponent-Liquid-Fuel Vaporization with Complex Configuration Multicompoet-Liquid-Fuel Vaporizatio with Complex Cofiguratio William A. Sirigao Guag Wu Uiversity of Califoria, Irvie Major Goals: for multicompoet-liquid-fuel vaporizatio i a geeral geometrical situatio,

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

Lesson 03 Heat Equation with Different BCs

Lesson 03 Heat Equation with Different BCs PDE & Complex Variables P3- esso 3 Heat Equatio with Differet BCs ( ) Physical meaig (SJF ) et u(x, represet the temperature of a thi rod govered by the (coductio) heat equatio: u t =α u xx (3.) where

More information

Lecture 9: Diffusion, Electrostatics review, and Capacitors. Context

Lecture 9: Diffusion, Electrostatics review, and Capacitors. Context EECS 5 Sprig 4, Lecture 9 Lecture 9: Diffusio, Electrostatics review, ad Capacitors EECS 5 Sprig 4, Lecture 9 Cotext I the last lecture, we looked at the carriers i a eutral semicoductor, ad drift currets

More information

PHYC - 505: Statistical Mechanics Homework Assignment 4 Solutions

PHYC - 505: Statistical Mechanics Homework Assignment 4 Solutions PHYC - 55: Statistical Mechaics Homewor Assigmet 4 Solutios Due February 5, 14 1. Cosider a ifiite classical chai of idetical masses coupled by earest eighbor sprigs with idetical sprig costats. a Write

More information

3. Z Transform. Recall that the Fourier transform (FT) of a DT signal xn [ ] is ( ) [ ] = In order for the FT to exist in the finite magnitude sense,

3. Z Transform. Recall that the Fourier transform (FT) of a DT signal xn [ ] is ( ) [ ] = In order for the FT to exist in the finite magnitude sense, 3. Z Trasform Referece: Etire Chapter 3 of text. Recall that the Fourier trasform (FT) of a DT sigal x [ ] is ω ( ) [ ] X e = j jω k = xe I order for the FT to exist i the fiite magitude sese, S = x [

More information

Chapter 4. Fourier Series

Chapter 4. Fourier Series Chapter 4. Fourier Series At this poit we are ready to ow cosider the caoical equatios. Cosider, for eample the heat equatio u t = u, < (4.) subject to u(, ) = si, u(, t) = u(, t) =. (4.) Here,

More information

Lecture 5-2: Polytropes. Literature: MWW chapter 19

Lecture 5-2: Polytropes. Literature: MWW chapter 19 Lecture 5-2: Polytropes Literature: MWW chapter 9!" Preamble The 4 equatios of stellar structure divide ito two groups: Mass ad mometum describig the mechaical structure ad thermal equilibrium ad eergy

More information

Chapter 10 Partial Differential Equations and Fourier Series

Chapter 10 Partial Differential Equations and Fourier Series Math-33 Chapter Partial Differetial Equatios November 6, 7 Chapter Partial Differetial Equatios ad Fourier Series Math-33 Chapter Partial Differetial Equatios November 6, 7. Boudary Value Problems for

More information

On the Validity of Onsager Reciprocal Relations: II. Simultaneous Heat & Mass Transfer

On the Validity of Onsager Reciprocal Relations: II. Simultaneous Heat & Mass Transfer O the Validity of Osager Reciprocal Relatios: II. Simultaeous Heat & Mass Trasfer GEORGE D. VERROS Departmet of Electrical Egieerig Techological & Educatioal Istitute (T.E.I.) of Lamia 3500 LAMIA GREECE

More information

ERT 318 UNIT OPERATIONS

ERT 318 UNIT OPERATIONS ERT 318 UNIT OPERATIONS DISTILLATION W. L. McCabe, J. C. Smith, P. Harriot, Uit Operatios of Chemical Egieerig, 7 th editio, 2005. 1 Outlie: Batch distillatio (pg. 724) Cotiuous distillatio with reflux

More information

[ 11 ] z of degree 2 as both degree 2 each. The degree of a polynomial in n variables is the maximum of the degrees of its terms.

[ 11 ] z of degree 2 as both degree 2 each. The degree of a polynomial in n variables is the maximum of the degrees of its terms. [ 11 ] 1 1.1 Polyomial Fuctios 1 Algebra Ay fuctio f ( x) ax a1x... a1x a0 is a polyomial fuctio if ai ( i 0,1,,,..., ) is a costat which belogs to the set of real umbers ad the idices,, 1,...,1 are atural

More information

1. Linearization of a nonlinear system given in the form of a system of ordinary differential equations

1. Linearization of a nonlinear system given in the form of a system of ordinary differential equations . Liearizatio of a oliear system give i the form of a system of ordiary differetial equatios We ow show how to determie a liear model which approximates the behavior of a time-ivariat oliear system i a

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

Free Surface Hydrodynamics

Free Surface Hydrodynamics Water Sciece ad Egieerig Free Surface Hydrodyamics y A part of Module : Hydraulics ad Hydrology Water Sciece ad Egieerig Dr. Shreedhar Maskey Seior Lecturer UNESCO-IHE Istitute for Water Educatio S. Maskey

More information

All Excuses must be taken to 233 Loomis before 4:15, Monday, April 30.

All Excuses must be taken to 233 Loomis before 4:15, Monday, April 30. Miscellaeous Notes The ed is ear do t get behid. All Excuses must be take to 233 Loomis before 4:15, Moday, April 30. The PYS 213 fial exam times are * 8-10 AM, Moday, May 7 * 8-10 AM, Tuesday, May 8 ad

More information

Boundary layer problem on conveyor belt. Gabriella Bognár University of Miskolc 3515 Miskolc-Egyetemváros, Hungary

Boundary layer problem on conveyor belt. Gabriella Bognár University of Miskolc 3515 Miskolc-Egyetemváros, Hungary Boudary layer problem o coveyor belt Gabriella Bogár Uiversity of Miskolc 355 Miskolc-Egyetemváros, Hugary e-mail: matvbg@ui-miskolc.hu Abstract: A techologically importat source of the boudary layer pheomeo

More information

TIME-CORRELATION FUNCTIONS

TIME-CORRELATION FUNCTIONS p. 8 TIME-CORRELATION FUNCTIONS Time-correlatio fuctios are a effective way of represetig the dyamics of a system. They provide a statistical descriptio of the time-evolutio of a variable for a esemble

More information

A. Much too slow. C. Basically about right. E. Much too fast

A. Much too slow. C. Basically about right. E. Much too fast Geeral Questio 1 t this poit, we have bee i this class for about a moth. It seems like this is a good time to take stock of how the class is goig. g I promise ot to look at idividual resposes, so be cadid!

More information

Mechatronics. Time Response & Frequency Response 2 nd -Order Dynamic System 2-Pole, Low-Pass, Active Filter

Mechatronics. Time Response & Frequency Response 2 nd -Order Dynamic System 2-Pole, Low-Pass, Active Filter Time Respose & Frequecy Respose d -Order Dyamic System -Pole, Low-Pass, Active Filter R 4 R 7 C 5 e i R 1 C R 3 - + R 6 - + e out Assigmet: Perform a Complete Dyamic System Ivestigatio of the Two-Pole,

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

1.3 Convergence Theorems of Fourier Series. k k k k. N N k 1. With this in mind, we state (without proof) the convergence of Fourier series.

1.3 Convergence Theorems of Fourier Series. k k k k. N N k 1. With this in mind, we state (without proof) the convergence of Fourier series. .3 Covergece Theorems of Fourier Series I this sectio, we preset the covergece of Fourier series. A ifiite sum is, by defiitio, a limit of partial sums, that is, a cos( kx) b si( kx) lim a cos( kx) b si(

More information

Nernst Equation. Nernst Equation. Electric Work and Gibb's Free Energy. Skills to develop. Electric Work. Gibb's Free Energy

Nernst Equation. Nernst Equation. Electric Work and Gibb's Free Energy. Skills to develop. Electric Work. Gibb's Free Energy Nerst Equatio Skills to develop Eplai ad distiguish the cell potetial ad stadard cell potetial. Calculate cell potetials from kow coditios (Nerst Equatio). Calculate the equilibrium costat from cell potetials.

More information

Phys 6303 Final Exam Solutions December 19, 2012

Phys 6303 Final Exam Solutions December 19, 2012 Phys 633 Fial Exam s December 19, 212 You may NOT use ay book or otes other tha supplied with this test. You will have 3 hours to fiish. DO YOUR OWN WORK. Express your aswers clearly ad cocisely so that

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

True Nature of Potential Energy of a Hydrogen Atom

True Nature of Potential Energy of a Hydrogen Atom True Nature of Potetial Eergy of a Hydroge Atom Koshu Suto Key words: Bohr Radius, Potetial Eergy, Rest Mass Eergy, Classical Electro Radius PACS codes: 365Sq, 365-w, 33+p Abstract I cosiderig the potetial

More information

Special Modeling Techniques

Special Modeling Techniques Colorado School of Mies CHEN43 Secial Modelig Techiques Secial Modelig Techiques Summary of Toics Deviatio Variables No-Liear Differetial Equatios 3 Liearizatio of ODEs for Aroximate Solutios 4 Coversio

More information

The Generalized Newtonian Fluid - Isothermal Flows Constitutive Equations! Viscosity Models! Solution of Flow Problems!

The Generalized Newtonian Fluid - Isothermal Flows Constitutive Equations! Viscosity Models! Solution of Flow Problems! The Geeralized Newtoia Fluid - Isothermal Flows Costitutive Equatios! Viscosity Models! Solutio of Flow Problems! 0.53/2.34! Sprig 204! MIT! Cambridge, MA 0239! Geeralized Newtoia Fluid Simple Shear Flow

More information

Miscellaneous Notes. Lecture 19, p 1

Miscellaneous Notes. Lecture 19, p 1 Miscellaeous Notes The ed is ear do t get behid. All Excuses must be take to 233 Loomis before oo, Thur, Apr. 25. The PHYS 213 fial exam times are * 8-10 AM, Moday, May 6 * 1:30-3:30 PM, Wed, May 8 The

More information

University of Groningen

University of Groningen Uiversity of Groige Applicatio of the Maxwell Stefa theory to the membrae electrolysis process. Model developmet ad simulatios Hogedoor, J.A.; Vee, A.J. va der; Stege, J.H.G. va der; Kuipers, J.A.M.; Versteeg,

More information

9.4.3 Fundamental Parameters. Concentration Factor. Not recommended. See Extraction factor. Decontamination Factor

9.4.3 Fundamental Parameters. Concentration Factor. Not recommended. See Extraction factor. Decontamination Factor 9.4.3 Fudametal Parameters Cocetratio Factor Not recommeded. See Extractio factor. Decotamiatio Factor The ratio of the proportio of cotamiat to product before treatmet to the proportio after treatmet.

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

MATH 10550, EXAM 3 SOLUTIONS

MATH 10550, EXAM 3 SOLUTIONS MATH 155, EXAM 3 SOLUTIONS 1. I fidig a approximate solutio to the equatio x 3 +x 4 = usig Newto s method with iitial approximatio x 1 = 1, what is x? Solutio. Recall that x +1 = x f(x ) f (x ). Hece,

More information

A numerical Technique Finite Volume Method for Solving Diffusion 2D Problem

A numerical Technique Finite Volume Method for Solving Diffusion 2D Problem The Iteratioal Joural Of Egieerig d Sciece (IJES) Volume 4 Issue 10 Pages PP -35-41 2015 ISSN (e): 2319 1813 ISSN (p): 2319 1805 umerical Techique Fiite Volume Method for Solvig Diffusio 2D Problem 1 Mohammed

More information

Introduction to Astrophysics Tutorial 2: Polytropic Models

Introduction to Astrophysics Tutorial 2: Polytropic Models Itroductio to Astrophysics Tutorial : Polytropic Models Iair Arcavi 1 Summary of the Equatios of Stellar Structure We have arrived at a set of dieretial equatios which ca be used to describe the structure

More information

Suggested solutions TEP4170 Heat and combustion technology 25 May 2016 by Ivar S. Ertesvåg. Revised 31 May 2016

Suggested solutions TEP4170 Heat and combustion technology 25 May 2016 by Ivar S. Ertesvåg. Revised 31 May 2016 Suggested solutios TEP470 Heat ad combustio techology 5 May 06 by Ivar S Ertesvåg Revised 3 May 06 ) Itroduce the Reyolds decompositio: ui ui u i (mea ad fluctuatio) ito the give equatio Average the equatio

More information

Nonequilibrium Excess Carriers in Semiconductors

Nonequilibrium Excess Carriers in Semiconductors Lecture 8 Semicoductor Physics VI Noequilibrium Excess Carriers i Semicoductors Noequilibrium coditios. Excess electros i the coductio bad ad excess holes i the valece bad Ambiolar trasort : Excess electros

More information

Optimization Methods MIT 2.098/6.255/ Final exam

Optimization Methods MIT 2.098/6.255/ Final exam Optimizatio Methods MIT 2.098/6.255/15.093 Fial exam Date Give: December 19th, 2006 P1. [30 pts] Classify the followig statemets as true or false. All aswers must be well-justified, either through a short

More information

Streamfunction-Vorticity Formulation

Streamfunction-Vorticity Formulation Streamfuctio-Vorticity Formulatio A. Salih Departmet of Aerospace Egieerig Idia Istitute of Space Sciece ad Techology, Thiruvaathapuram March 2013 The streamfuctio-vorticity formulatio was amog the first

More information

Finite Difference Derivations for Spreadsheet Modeling John C. Walton Modified: November 15, 2007 jcw

Finite Difference Derivations for Spreadsheet Modeling John C. Walton Modified: November 15, 2007 jcw Fiite Differece Derivatios for Spreadsheet Modelig Joh C. Walto Modified: November 15, 2007 jcw Figure 1. Suset with 11 swas o Little Platte Lake, Michiga. Page 1 Modificatio Date: November 15, 2007 Review

More information

EECE 301 Signals & Systems

EECE 301 Signals & Systems EECE 301 Sigals & Systems Prof. Mark Fowler Note Set #8 D-T Covolutio: The Tool for Fidig the Zero-State Respose Readig Assigmet: Sectio 2.1-2.2 of Kame ad Heck 1/14 Course Flow Diagram The arrows here

More information

Homework. Chap 5. Simple mixtures. Exercises: 5B.8(a), 5C.4(b), 5C.10(a), 5F.2(a)

Homework. Chap 5. Simple mixtures. Exercises: 5B.8(a), 5C.4(b), 5C.10(a), 5F.2(a) Homework Cha 5. Simle mitures Eercises: 5.8(a), 5C.4(b), 5C.10(a), 5F.2(a) Problems: 5.5, 5.1, 5.4, 5.9, 5.10, 5C.3, 5C.4, 5C.5, 5C.6, 5C.7, 5C.8, Itegrated activities: 5.5, 5.8, 5.10, 5.11 1 Cha 5. Simle

More information

CHAPTER 8 SYSTEMS OF PARTICLES

CHAPTER 8 SYSTEMS OF PARTICLES CHAPTER 8 SYSTES OF PARTICLES CHAPTER 8 COLLISIONS 45 8. CENTER OF ASS The ceter of mass of a system of particles or a rigid body is the poit at which all of the mass are cosidered to be cocetrated there

More information

Physics 324, Fall Dirac Notation. These notes were produced by David Kaplan for Phys. 324 in Autumn 2001.

Physics 324, Fall Dirac Notation. These notes were produced by David Kaplan for Phys. 324 in Autumn 2001. Physics 324, Fall 2002 Dirac Notatio These otes were produced by David Kapla for Phys. 324 i Autum 2001. 1 Vectors 1.1 Ier product Recall from liear algebra: we ca represet a vector V as a colum vector;

More information

RADICAL EXPRESSION. If a and x are real numbers and n is a positive integer, then x is an. n th root theorems: Example 1 Simplify

RADICAL EXPRESSION. If a and x are real numbers and n is a positive integer, then x is an. n th root theorems: Example 1 Simplify Example 1 Simplify 1.2A Radical Operatios a) 4 2 b) 16 1 2 c) 16 d) 2 e) 8 1 f) 8 What is the relatioship betwee a, b, c? What is the relatioship betwee d, e, f? If x = a, the x = = th root theorems: RADICAL

More information

ChE 471 Lecture 10 Fall 2005 SAFE OPERATION OF TUBULAR (PFR) ADIABATIC REACTORS

ChE 471 Lecture 10 Fall 2005 SAFE OPERATION OF TUBULAR (PFR) ADIABATIC REACTORS SAFE OPERATION OF TUBULAR (PFR) ADIABATIC REACTORS I a exothermic reactio the temperature will cotiue to rise as oe moves alog a plug flow reactor util all of the limitig reactat is exhausted. Schematically

More information

Limitation of Applicability of Einstein s. Energy-Momentum Relationship

Limitation of Applicability of Einstein s. Energy-Momentum Relationship Limitatio of Applicability of Eistei s Eergy-Mometum Relatioship Koshu Suto Koshu_suto19@mbr.ifty.com Abstract Whe a particle moves through macroscopic space, for a isolated system, as its velocity icreases,

More information

SECTION 2 Electrostatics

SECTION 2 Electrostatics SECTION Electrostatics This sectio, based o Chapter of Griffiths, covers effects of electric fields ad forces i static (timeidepedet) situatios. The topics are: Electric field Gauss s Law Electric potetial

More information

J. Serb. Chem. Soc. 82 (4) S208 S220 (2017) Supplementary material

J. Serb. Chem. Soc. 82 (4) S208 S220 (2017) Supplementary material J. Serb. Chem. Soc. 82 (4) S8 S2 (7) Supplemetary material SUPPLEMENARY MAERIAL O Experimetal measuremets ad modellig of solvet activity ad surface tesio of biary mixtures of poly(viyl pyrrolidoe) i water

More information

ECONOMIC OPERATION OF POWER SYSTEMS

ECONOMIC OPERATION OF POWER SYSTEMS ECOOMC OEATO OF OWE SYSTEMS TOUCTO Oe of the earliest applicatios of o-lie cetralized cotrol was to provide a cetral facility, to operate ecoomically, several geeratig plats supplyig the loads of the system.

More information

Appendix: The Laplace Transform

Appendix: The Laplace Transform Appedix: The Laplace Trasform The Laplace trasform is a powerful method that ca be used to solve differetial equatio, ad other mathematical problems. Its stregth lies i the fact that it allows the trasformatio

More information

Chapter 4 : Laplace Transform

Chapter 4 : Laplace Transform 4. Itroductio Laplace trasform is a alterative to solve the differetial equatio by the complex frequecy domai ( s = σ + jω), istead of the usual time domai. The DE ca be easily trasformed ito a algebraic

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

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

AIT. Blackbody Radiation IAAT

AIT. Blackbody Radiation IAAT 3 1 Blackbody Radiatio Itroductio 3 2 First radiatio process to look at: radiatio i thermal equilibrium with itself: blackbody radiatio Assumptios: 1. Photos are Bosos, i.e., more tha oe photo per phase

More information

g p! where ω is a p-form. The operator acts on forms, not on components. Example: Consider R 3 with metric +++, i.e. g µν =

g p! where ω is a p-form. The operator acts on forms, not on components. Example: Consider R 3 with metric +++, i.e. g µν = Chapter 17 Hodge duality We will ext defie the Hodge star operator. We will defieit i a chart rather tha abstractly. The Hodge star operator, deoted i a -dimesioal maifold is a map from p-forms to ( p)-forms

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

REGRESSION (Physics 1210 Notes, Partial Modified Appendix A)

REGRESSION (Physics 1210 Notes, Partial Modified Appendix A) REGRESSION (Physics 0 Notes, Partial Modified Appedix A) HOW TO PERFORM A LINEAR REGRESSION Cosider the followig data poits ad their graph (Table I ad Figure ): X Y 0 3 5 3 7 4 9 5 Table : Example Data

More information

The Heisenberg versus the Schrödinger picture in quantum field theory. Dan Solomon Rauland-Borg Corporation 3450 W. Oakton Skokie, IL USA

The Heisenberg versus the Schrödinger picture in quantum field theory. Dan Solomon Rauland-Borg Corporation 3450 W. Oakton Skokie, IL USA 1 The Heiseberg versus the chrödiger picture i quatum field theory by Da olomo Raulad-Borg Corporatio 345 W. Oakto kokie, IL 677 UA Phoe: 847-324-8337 Email: da.solomo@raulad.com PAC 11.1-z March 15, 24

More information

TEACHER CERTIFICATION STUDY GUIDE

TEACHER CERTIFICATION STUDY GUIDE COMPETENCY 1. ALGEBRA SKILL 1.1 1.1a. ALGEBRAIC STRUCTURES Kow why the real ad complex umbers are each a field, ad that particular rigs are ot fields (e.g., itegers, polyomial rigs, matrix rigs) Algebra

More information

Sequences, Mathematical Induction, and Recursion. CSE 2353 Discrete Computational Structures Spring 2018

Sequences, Mathematical Induction, and Recursion. CSE 2353 Discrete Computational Structures Spring 2018 CSE 353 Discrete Computatioal Structures Sprig 08 Sequeces, Mathematical Iductio, ad Recursio (Chapter 5, Epp) Note: some course slides adopted from publisher-provided material Overview May mathematical

More information

Lecture #20. n ( x p i )1/p = max

Lecture #20. n ( x p i )1/p = max COMPSCI 632: Approximatio Algorithms November 8, 2017 Lecturer: Debmalya Paigrahi Lecture #20 Scribe: Yua Deg 1 Overview Today, we cotiue to discuss about metric embeddigs techique. Specifically, we apply

More information

Mechanics Physics 151

Mechanics Physics 151 Mechaics Physics 151 Lecture 4 Cotiuous Systems ad Fields (Chapter 13) What We Did Last Time Built Lagragia formalism for cotiuous system Lagragia L = L dxdydz d L L Lagrage s equatio = dx η, η Derived

More information

CS 270 Algorithms. Oliver Kullmann. Growth of Functions. Divide-and- Conquer Min-Max- Problem. Tutorial. Reading from CLRS for week 2

CS 270 Algorithms. Oliver Kullmann. Growth of Functions. Divide-and- Conquer Min-Max- Problem. Tutorial. Reading from CLRS for week 2 Geeral remarks Week 2 1 Divide ad First we cosider a importat tool for the aalysis of algorithms: Big-Oh. The we itroduce a importat algorithmic paradigm:. We coclude by presetig ad aalysig two examples.

More information

Fourier Series and the Wave Equation

Fourier Series and the Wave Equation Fourier Series ad the Wave Equatio We start with the oe-dimesioal wave equatio u u =, x u(, t) = u(, t) =, ux (,) = f( x), u ( x,) = This represets a vibratig strig, where u is the displacemet of the strig

More information

Recurrence Relations

Recurrence Relations Recurrece Relatios Aalysis of recursive algorithms, such as: it factorial (it ) { if (==0) retur ; else retur ( * factorial(-)); } Let t be the umber of multiplicatios eeded to calculate factorial(). The

More information

All Excuses must be taken to 233 Loomis before 4:15, Monday, April 30.

All Excuses must be taken to 233 Loomis before 4:15, Monday, April 30. Miscellaeous Notes The ed is ear do t get behid. All Excuses must be take to 233 Loomis before 4:15, Moday, April 30. The PHYS 213 fial exam times are * 8-10 AM, Moday, May 7 * 8-10 AM, Tuesday, May 8

More information

A STUDY ON MHD BOUNDARY LAYER FLOW OVER A NONLINEAR STRETCHING SHEET USING IMPLICIT FINITE DIFFERENCE METHOD

A STUDY ON MHD BOUNDARY LAYER FLOW OVER A NONLINEAR STRETCHING SHEET USING IMPLICIT FINITE DIFFERENCE METHOD IRET: Iteratioal oural of Research i Egieerig ad Techology eissn: 39-63 pissn: 3-7308 A STUDY ON MHD BOUNDARY LAYER FLOW OVER A NONLINEAR STRETCHING SHEET USING IMPLICIT FINITE DIFFERENCE METHOD Satish

More information

ENGI Series Page 6-01

ENGI Series Page 6-01 ENGI 3425 6 Series Page 6-01 6. Series Cotets: 6.01 Sequeces; geeral term, limits, covergece 6.02 Series; summatio otatio, covergece, divergece test 6.03 Stadard Series; telescopig series, geometric series,

More information

THE NUMERICAL SOLUTION OF THE NEWTONIAN FLUIDS FLOW DUE TO A STRETCHING CYLINDER BY SOR ITERATIVE PROCEDURE ABSTRACT

THE NUMERICAL SOLUTION OF THE NEWTONIAN FLUIDS FLOW DUE TO A STRETCHING CYLINDER BY SOR ITERATIVE PROCEDURE ABSTRACT Europea Joural of Egieerig ad Techology Vol. 3 No., 5 ISSN 56-586 THE NUMERICAL SOLUTION OF THE NEWTONIAN FLUIDS FLOW DUE TO A STRETCHING CYLINDER BY SOR ITERATIVE PROCEDURE Atif Nazir, Tahir Mahmood ad

More information

Chapter 2 Motion and Recombination of Electrons and Holes

Chapter 2 Motion and Recombination of Electrons and Holes Chapter 2 Motio ad Recombiatio of Electros ad Holes 2.1 Thermal Eergy ad Thermal Velocity Average electro or hole kietic eergy 3 2 kt 1 2 2 mv th v th 3kT m eff 3 23 1.38 10 JK 0.26 9.1 10 1 31 300 kg

More information

FFTs in Graphics and Vision. The Fast Fourier Transform

FFTs in Graphics and Vision. The Fast Fourier Transform FFTs i Graphics ad Visio The Fast Fourier Trasform 1 Outlie The FFT Algorithm Applicatios i 1D Multi-Dimesioal FFTs More Applicatios Real FFTs 2 Computatioal Complexity To compute the movig dot-product

More information

Lecture III-2: Light propagation in nonmagnetic

Lecture III-2: Light propagation in nonmagnetic A. La Rosa Lecture Notes ALIED OTIC Lecture III2: Light propagatio i omagetic materials 2.1 urface ( ), volume ( ), ad curret ( j ) desities produced by arizatio charges The objective i this sectio is

More information

Material Balances on Reactive Processes F&R

Material Balances on Reactive Processes F&R Material Balaces o Reactive Processes F&R 4.6-4.8 What does a reactio do to the geeral balace equatio? Accumulatio = I Out + Geeratio Cosumptio For a reactive process at steady-state, the geeral balace

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

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

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

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

: Transforms and Partial Differential Equations

: Transforms and Partial Differential Equations Trasforms ad Partial Differetial Equatios 018 SUBJECT NAME : Trasforms ad Partial Differetial Equatios SUBJECT CODE : MA 6351 MATERIAL NAME : Part A questios REGULATION : R013 WEBSITE : wwwharigaeshcom

More information

DYNAMIC ANALYSIS OF BEAM-LIKE STRUCTURES SUBJECT TO MOVING LOADS

DYNAMIC ANALYSIS OF BEAM-LIKE STRUCTURES SUBJECT TO MOVING LOADS DYNAMIC ANALYSIS OF BEAM-LIKE STRUCTURES SUBJECT TO MOVING LOADS Ivaa Štimac 1, Ivica Kožar 1 M.Sc,Assistat, Ph.D. Professor 1, Faculty of Civil Egieerig, Uiverity of Rieka, Croatia INTRODUCTION The vehicle-iduced

More information

MA1200 Exercise for Chapter 7 Techniques of Differentiation Solutions. First Principle 1. a) To simplify the calculation, note. Then. lim h.

MA1200 Exercise for Chapter 7 Techniques of Differentiation Solutions. First Principle 1. a) To simplify the calculation, note. Then. lim h. MA00 Eercise for Chapter 7 Techiques of Differetiatio Solutios First Priciple a) To simplify the calculatio, ote The b) ( h) lim h 0 h lim h 0 h[ ( h) ( h) h ( h) ] f '( ) Product/Quotiet/Chai Rules a)

More information

PHY4905: Nearly-Free Electron Model (NFE)

PHY4905: Nearly-Free Electron Model (NFE) PHY4905: Nearly-Free Electro Model (NFE) D. L. Maslov Departmet of Physics, Uiversity of Florida (Dated: Jauary 12, 2011) 1 I. REMINDER: QUANTUM MECHANICAL PERTURBATION THEORY A. No-degeerate eigestates

More information

MATHEMATICS. 61. The differential equation representing the family of curves where c is a positive parameter, is of

MATHEMATICS. 61. The differential equation representing the family of curves where c is a positive parameter, is of MATHEMATICS 6 The differetial equatio represetig the family of curves where c is a positive parameter, is of Order Order Degree (d) Degree (a,c) Give curve is y c ( c) Differetiate wrt, y c c y Hece differetial

More information

Signals & Systems Chapter3

Signals & Systems Chapter3 Sigals & Systems Chapter3 1.2 Discrete-Time (D-T) Sigals Electroic systems do most of the processig of a sigal usig a computer. A computer ca t directly process a C-T sigal but istead eeds a stream of

More information

Velocity and Temperature Boundary- Layer Modeling Using Averaged Molecule cluster Transport Equations

Velocity and Temperature Boundary- Layer Modeling Using Averaged Molecule cluster Transport Equations IUVSTA 011 Leiseiler, May 16 th 011 Velocity ad Temperature Boudary- Layer Modelig Usig Averaged Molecule cluster Trasport Equatios R. Groll Uiversity of Breme, Am Fallturm, D-859 Breme R. Groll 1 Micro

More information

Fluid Physics 8.292J/12.330J % (1)

Fluid Physics 8.292J/12.330J % (1) Fluid Physics 89J/133J Problem Set 5 Solutios 1 Cosider the flow of a Euler fluid i the x directio give by for y > d U = U y 1 d for y d U + y 1 d for y < This flow does ot vary i x or i z Determie the

More information

Bertrand s Postulate

Bertrand s Postulate Bertrad s Postulate Lola Thompso Ross Program July 3, 2009 Lola Thompso (Ross Program Bertrad s Postulate July 3, 2009 1 / 33 Bertrad s Postulate I ve said it oce ad I ll say it agai: There s always a

More information

x 2 x x x x x + x x +2 x

x 2 x x x x x + x x +2 x Math 5440: Notes o particle radom walk Aaro Fogelso September 6, 005 Derivatio of the diusio equatio: Imagie that there is a distributio of particles spread alog the x-axis ad that the particles udergo

More information

HE ATOM & APPROXIMATION METHODS MORE GENERAL VARIATIONAL TREATMENT. Examples:

HE ATOM & APPROXIMATION METHODS MORE GENERAL VARIATIONAL TREATMENT. Examples: 5.6 4 Lecture #3-4 page HE ATOM & APPROXIMATION METHODS MORE GENERAL VARIATIONAL TREATMENT Do t restrict the wavefuctio to a sigle term! Could be a liear combiatio of several wavefuctios e.g. two terms:

More information

Machine Learning for Data Science (CS 4786)

Machine Learning for Data Science (CS 4786) Machie Learig for Data Sciece CS 4786) Lecture & 3: Pricipal Compoet Aalysis The text i black outlies high level ideas. The text i blue provides simple mathematical details to derive or get to the algorithm

More information

Lecture 11 and 12: Basic estimation theory

Lecture 11 and 12: Basic estimation theory Lecture ad 2: Basic estimatio theory Sprig 202 - EE 94 Networked estimatio ad cotrol Prof. Kha March 2 202 I. MAXIMUM-LIKELIHOOD ESTIMATORS The maximum likelihood priciple is deceptively simple. Louis

More information

Numerical Methods in Fourier Series Applications

Numerical Methods in Fourier Series Applications Numerical Methods i Fourier Series Applicatios Recall that the basic relatios i usig the Trigoometric Fourier Series represetatio were give by f ( x) a o ( a x cos b x si ) () where the Fourier coefficiets

More information

On the Blasius correlation for friction factors

On the Blasius correlation for friction factors O the Blasius correlatio for frictio factors Trih, Khah Tuoc Istitute of Food Nutritio ad Huma Health Massey Uiversity, New Zealad K.T.Trih@massey.ac.z Abstract The Blasius empirical correlatio for turbulet

More information

point, requiring all 4 curves to be continuous Discontinuity in P

point, requiring all 4 curves to be continuous Discontinuity in P . Solutio Methods a Classical approach Basic equatios of stellar structure + boudary coditios i Classical (historical method of solutio: Outward itegratio from ceter, where l = m = ward itegratio from

More information

Linear Elliptic PDE s Elliptic partial differential equations frequently arise out of conservation statements of the form

Linear Elliptic PDE s Elliptic partial differential equations frequently arise out of conservation statements of the form Liear Elliptic PDE s Elliptic partial differetial equatios frequetly arise out of coservatio statemets of the form B F d B Sdx B cotaied i bouded ope set U R. Here F, S deote respectively, the flux desity

More information

Phys. 201 Mathematical Physics 1 Dr. Nidal M. Ershaidat Doc. 12

Phys. 201 Mathematical Physics 1 Dr. Nidal M. Ershaidat Doc. 12 Physics Departmet, Yarmouk Uiversity, Irbid Jorda Phys. Mathematical Physics Dr. Nidal M. Ershaidat Doc. Fourier Series Deiitio A Fourier series is a expasio o a periodic uctio (x) i terms o a iiite sum

More information

Ray Optics Theory and Mode Theory. Dr. Mohammad Faisal Dept. of EEE, BUET

Ray Optics Theory and Mode Theory. Dr. Mohammad Faisal Dept. of EEE, BUET Ray Optics Theory ad Mode Theory Dr. Mohammad Faisal Dept. of, BUT Optical Fiber WG For light to be trasmitted through fiber core, i.e., for total iteral reflectio i medium, > Ray Theory Trasmissio Ray

More information