Basic solution to Heat Diffusion In general, one-dimensional heat diffusion in a material is defined by the linear, parabolic PDE

Size: px
Start display at page:

Download "Basic solution to Heat Diffusion In general, one-dimensional heat diffusion in a material is defined by the linear, parabolic PDE"

Transcription

1 New Meio e yd 5 ydrology Program Quaniaie Meods in ydrology Basi soluion o ea iffusion In general one-dimensional ea diffusion in a maerial is defined by e linear paraboli PE or were we assume a is defined on e domain of ineres. Subsiuion your omework will sow a a A ep a / is a general soluion of is equaion. See p. - of Crank 975. Wa is e oal ea onen in e domain a any ime? e ea onen a a poin is gien by e produ of speifi ea [J kg - C - ] e maerial densiy [kg m -3 ] and e emperaure [ C] or. e oal ea onen depends on e size of e domain. If we assume a e domain is infinie is is easier an dealing wi a finie domain for reasons a will beome learer laer en e oal ea onen will be gien by e inegral 6 d d A ep ζ dζ A A 3 were we e assumed a speifi ea and e densiy are onsans and were we e used e ange of ariables ζ /. We an sole for A wi is a onsan sine ea is onsered in is model no soure or sink in e ea diffusion equaion. A Consequenly we an now wrie ou e general soluion as ep b Bu wa are ere boundary and iniial ondiions a orrespond o is soluion? Wa appens a? a is wa is e iniial ondiion for e soluion in applied oer an infinie domain? Alim { ep lim { ep δ / 5 were we e inrodued a new ariable and onep e ira dela funion δ. e ira dela funion is no e ypial funion you sudy in fresman alulus. I as srange properies. For eample i is no differeniable using e rules wi wi you are familiar. ow is i defined? One way of defining i is simply e seond limi in 5. We an augmen is wi e following addiional properies. δ for all 6a 6 One would inegrae oer finie or semi-infinie domains similarly by anging e limis of inegraion. -93-

2 New Meio e yd 5 ydrology Program Quaniaie Meods in ydrology δ 6b a is e dela funion inegraes o one and is zero eep a e loaion were e argumen is zero. I s a spike or pulse. δ as unis of [L - ] a is one oer e unis of e argumen 7. e dela funion is a ery useful represenaion of a poin narrow inpu pulse in is ase of ea. Sould e iniial emperaure no be zero oer an a e dela funion inpu superposiion an be used o represen a effe. For uniform iniial emperaure one would simply add o a iniial emperaure. δ Wa are e boundary ondiions for is problem? Basially you an see from e soluion a ± A lim ± ep ζ { lim { { } / e ζ ± 7 a is e boundaries are a ± and ey are omogeneous irile boundaries. Sould e irile boundaries be non-omogeneous en superposiion of soluions an be used o represen e sum of e dela inpu and non-zero irile boundaries. Oer eample appliaions Anoer eample appliaion of e dela funion would be a narrow pulse of solue mass in a fluid were e solue redisribues by diffusion. e PE is C C wi sae ariable onenraion C and solue diffusion oeffiien. en AM/ M is e oal solue mass e iniial ondiion is C M δ e irile boundaries are C± and e soluion is C M/ ep- /. A ird eample appliaion of e dela funion would be a narrow pulse of waer injeed rearged ino a erially inegraed preai aquifer were e waer redisribues by so-alled ydrauli diffusion following ary s Law. e PE is were e sae ariable is e rise of waer able eleaion and is e ydrauli diffusiiy /S y wi ransmissiiy and S y speifi yield. en A V/ S y V is e oal waer olume injeed e iniial ondiion is V/ S y δ e irile boundaries are ± and e soluion is V/ S y ep- /. 7 δ as unis of one oer ime wile e riple produ δδyδ for a ira dela funion in wo spae dimensions and one ime dimension as SI dimensions s - m

3 New Meio e yd 5 ydrology Program Quaniaie Meods in ydrology -95- Uni response Reurning o e ea problem. Suppose a uni [[J m - ] 8 en in represens e uni impulse response of e domain o a uni dela inpu ep 8a Uni responses for e solue pulse and groundwaer rearge problems would ake be e quaniy in { } s muliplied by one and S y - respeiely. Wa would a uni response look like for an inpu a anoer ime say or anoer loaion? ese are respeiely ep 8b and ep 8 Superposiion of ime arying ea inpu. In our ea problem suppose a e ere is a ime arying rae of ea inpu a denoed as &. ow does e sysem respond? Sine our PE is linear we an use superposiion of e response o is ime arying inpu. Firs assume a e iniial ondiion is if is no we an superpose is effe laer. en onoluion of e inpu and e uni response desribes e emperaure a any laer ime d & 9a You an ink of e onoluion as e sum of e emperaure responses a a loaion o a sequene of ea inpus a differen imes. o make is easier o see e onoluion inegral an also be wrien as d & 9b e onoluions of solue onenraion or groundwaer ead for ime arying inpus work in e same way. Superposiion of a spaially disribued ea inpus. In our ea problem suppose a e ere are wo ira dela ea inpus a one is a and e oer is a ow does e sysem respond? One again sine our PE is linear we an superpose is ime in spae ep ep 5 8 Wy per meer squared? is is a one-dimensional problem bu e world is ree-dimensional. us is e oal ea per ross-seional area per m aken normal o e -ais. e usual ea diffusion eample is ea ransfer in a onsan-diameer rod. e oordinae is disane along e rod and e area is e area of a ross-seion of e rod.

4 New Meio e yd 5 ydrology Program Quaniaie Meods in ydrology is superposiion onep an be eended o any number of spaially and ime arying inpus. Semi-infinie domain Suppose e injeion of ea were o our a e origin of a semi-infinie domain su a e ea as o diffuse only oward posiie alues of. en we an assume e soluion aboe for negaie is simply refleed abou e origin and superposed doubling e emperaure for posiie from a gie aboe see Crank 975 p. 3. en e general soluion beomes A ep 5 / or for ea diffusion ep 5 e boundary ondiion a remains a omogeneous irile ondiion wile due o e refleion a e origin e boundary ondiion a is a Neumann zero gradien ondiion a 53 As / a in e original soluion i is learly sill zero afer refleion and superposiion. Inegral of basi soluion: sep ange in iniial emperaure Suppose a e iniial ondiion were a sep funion of e form for < and for > 5 An eample would be bring wo meal bars of similar omposiion ea a a differen emperaure ino ona a eir ends. We an use superposiion of e infinie domain general soluion o represen is proess. Consider e eended disribuion o be omposed o an infinie number of line soures and superpose e orresponding infinie number of elemenary soluions Crank 975 p. 3-. e ea soure in some infiniesimal inremen d a loaion en as sreng d. en e emperaure a some poin a disane - away due o is inremen of ea is d ep 55 e omplee soluion due o e iniial ondiion in 5 is en deermined by summing oer e inremens d or -96-

5 New Meio e yd 5 ydrology Program Quaniaie Meods in ydrology ep d erf.5 erf / e ζ dζ 56 were ζ / and we e used e definiion of e error funion and is omplemen ζ erf e dζ erf z e d erf z z ζ ζ erf -z -erf z erf erf Wa boundary ondiions does is saisfy? From e properies of e error funion we find a as - and as 57 us 56 is a soluion of e ea diffusion equaion wi boundary and iniial ondiions a lead o is ommon appliaion in ydrology and e geosienes. Anoer eample appliaions of e sep ange. Anoer eample appliaion would be a sep ange in iniial solue onenraion were e solue redisribues by diffusion. e PE is C C wi sae ariable onenraion C and solue diffusion oeffiien. e iniial ondiion is C< C and C> e irile boundaries are C- C and C and e soluion is C.5C erf/. Influene of mean flow. Suppose is ea or solue diffusion is aking plae in e presene of a mean flow wi eloiy. e PE for ea adeion-diffusion beomes or 58 In an infinie domain wi boundary and iniial ondiions as desribed aboe for e pulse inpu or sep ange we an sole is equaion using a ransformed ersion of e soluions already produed. e basi idea is o ransform 58 so a i looks like e diffusion equaion. We use e araerisi of e adeion equaion i.e. e seondary of 58 and a ain rule operaion. If is onsan en e araerisi is or onsan suggesing a ange of ariables o a moing oordinae sysem a follows a araerisi or 59 en we apply ain rules o implemen is new oordinae sysem as follows -97-

6 New Meio e yd 5 ydrology Program Quaniaie Meods in ydrology -98-6ab en subsiue ino e adeion-dispersion equaion and simplify 6 o yield a simply diffusion equaion in e moing oordinae. We almos always drop e erial lines and subsrips and wrie is as 6 were e subsrips are undersood. We know general soluions for 6 for bo pulse and sep inpus. Afer ransforming ese bak o e saionary oordinae sysem ese soluions and eir orresponding iniial and boundary ondiions are: Pulse inpu a a ime : ep 6 IC: δ BCs: ± 65ab Sep ange a a ime : erf.5 66 IC: for < and for > 67a BCs: as - and as 67b

7 New Meio e yd 5 ydrology Program Quaniaie Meods in ydrology Noe a for e sep ange problem.5 for >. e sep smears oer ime and unlike e diffusion problem e onenraion a e origin anges. I is no a boundary ondiion. ransform Soluions o ea iffusion see Crank. I an be sown by dimensional analysis a soluions o 3 are ofen of e form A Φ 68 / were Φ is a funion o be deermined 9. In pariular we e already found Gaussian and error funion soluions. Noie a e funion is self-similar. a is e funion is sreed one way or anoer bu e sape remains unanged oer ime-spae. You e seen su similariy soluions before in e eis Well funion wi as similariy ariable ur S/ were e parameers ake on e normal well-ydraulis definiions and ydrauli diffusiiy is /S. I is no unusual o assume a soluion of e form of 68 and en o seek e oeffiien A a maes e boundary and iniial ondiions. 9 ypially is some ombinaion of eponenial or error funions. -99-

Mass Transfer Coefficients (MTC) and Correlations I

Mass Transfer Coefficients (MTC) and Correlations I Mass Transfer Mass Transfer Coeffiiens (MTC) and Correlaions I 7- Mass Transfer Coeffiiens and Correlaions I Diffusion an be desribed in wo ways:. Deailed physial desripion based on Fik s laws and he diffusion

More information

Idealize Bioreactor CSTR vs. PFR... 3 Analysis of a simple continuous stirred tank bioreactor... 4 Residence time distribution... 4 F curve:...

Idealize Bioreactor CSTR vs. PFR... 3 Analysis of a simple continuous stirred tank bioreactor... 4 Residence time distribution... 4 F curve:... Idealize Bioreaor CSTR vs. PFR... 3 Analysis of a simple oninuous sirred ank bioreaor... 4 Residene ime disribuion... 4 F urve:... 4 C urve:... 4 Residene ime disribuion or age disribuion... 4 Residene

More information

Solutions to Assignment 1

Solutions to Assignment 1 MA 2326 Differenial Equaions Insrucor: Peronela Radu Friday, February 8, 203 Soluions o Assignmen. Find he general soluions of he following ODEs: (a) 2 x = an x Soluion: I is a separable equaion as we

More information

F (u) du. or f(t) = t

F (u) du. or f(t) = t 8.3 Topic 9: Impulses and dela funcions. Auor: Jeremy Orloff Reading: EP 4.6 SN CG.3-4 pp.2-5. Warmup discussion abou inpu Consider e rae equaion d + k = f(). To be specific, assume is in unis of d kilograms.

More information

Comparison between the Discrete and Continuous Time Models

Comparison between the Discrete and Continuous Time Models Comparison beween e Discree and Coninuous Time Models D. Sulsky June 21, 2012 1 Discree o Coninuous Recall e discree ime model Î = AIS Ŝ = S Î. Tese equaions ell us ow e populaion canges from one day o

More information

Linear Quadratic Regulator (LQR) - State Feedback Design

Linear Quadratic Regulator (LQR) - State Feedback Design Linear Quadrai Regulaor (LQR) - Sae Feedbak Design A sysem is expressed in sae variable form as x = Ax + Bu n m wih x( ) R, u( ) R and he iniial ondiion x() = x A he sabilizaion problem using sae variable

More information

EECE 301 Signals & Systems Prof. Mark Fowler

EECE 301 Signals & Systems Prof. Mark Fowler EECE 3 Signals & Sysems Prof. Mark Fowler Noe Se # Wha are Coninuous-Time Signals??? /6 Coninuous-Time Signal Coninuous Time (C-T) Signal: A C-T signal is defined on he coninuum of ime values. Tha is:

More information

Laplace Transforms. Examples. Is this equation differential? y 2 2y + 1 = 0, y 2 2y + 1 = 0, (y ) 2 2y + 1 = cos x,

Laplace Transforms. Examples. Is this equation differential? y 2 2y + 1 = 0, y 2 2y + 1 = 0, (y ) 2 2y + 1 = cos x, Laplace Transforms Definiion. An ordinary differenial equaion is an equaion ha conains one or several derivaives of an unknown funcion which we call y and which we wan o deermine from he equaion. The equaion

More information

The Quantum Theory of Atoms and Molecules: The Schrodinger equation. Hilary Term 2008 Dr Grant Ritchie

The Quantum Theory of Atoms and Molecules: The Schrodinger equation. Hilary Term 2008 Dr Grant Ritchie e Quanum eory of Aoms and Molecules: e Scrodinger equaion Hilary erm 008 Dr Gran Ricie An equaion for maer waves? De Broglie posulaed a every paricles as an associaed wave of waveleng: / p Wave naure of

More information

Additional Exercises for Chapter What is the slope-intercept form of the equation of the line given by 3x + 5y + 2 = 0?

Additional Exercises for Chapter What is the slope-intercept form of the equation of the line given by 3x + 5y + 2 = 0? ddiional Eercises for Caper 5 bou Lines, Slopes, and Tangen Lines 39. Find an equaion for e line roug e wo poins (, 7) and (5, ). 4. Wa is e slope-inercep form of e equaion of e line given by 3 + 5y +

More information

Boyce/DiPrima 9 th ed, Ch 6.1: Definition of. Laplace Transform. In this chapter we use the Laplace transform to convert a

Boyce/DiPrima 9 th ed, Ch 6.1: Definition of. Laplace Transform. In this chapter we use the Laplace transform to convert a Boye/DiPrima 9 h ed, Ch 6.: Definiion of Laplae Transform Elemenary Differenial Equaions and Boundary Value Problems, 9 h ediion, by William E. Boye and Rihard C. DiPrima, 2009 by John Wiley & Sons, In.

More information

Amit Mehra. Indian School of Business, Hyderabad, INDIA Vijay Mookerjee

Amit Mehra. Indian School of Business, Hyderabad, INDIA Vijay Mookerjee RESEARCH ARTICLE HUMAN CAPITAL DEVELOPMENT FOR PROGRAMMERS USING OPEN SOURCE SOFTWARE Ami Mehra Indian Shool of Business, Hyderabad, INDIA {Ami_Mehra@isb.edu} Vijay Mookerjee Shool of Managemen, Uniersiy

More information

THE CATCH PROCESS (continued)

THE CATCH PROCESS (continued) THE CATCH PROCESS (coninued) In our previous derivaion of e relaionsip beween CPUE and fis abundance we assumed a all e fising unis and all e fis were spaially omogeneous. Now we explore wa appens wen

More information

κt π = (5) T surrface k BASELINE CASE

κt π = (5) T surrface k BASELINE CASE II. BASELINE CASE PRACICAL CONSIDERAIONS FOR HERMAL SRESSES INDUCED BY SURFACE HEAING James P. Blanhard Universi of Wisonsin Madison 15 Engineering Dr. Madison, WI 5376-169 68-63-391 blanhard@engr.is.edu

More information

EECE 301 Signals & Systems Prof. Mark Fowler

EECE 301 Signals & Systems Prof. Mark Fowler EECE 3 Signals & Sysems Prof. Mark Fowler Noe Se #2 Wha are Coninuous-Time Signals??? Reading Assignmen: Secion. of Kamen and Heck /22 Course Flow Diagram The arrows here show concepual flow beween ideas.

More information

Problem Set 9 Due December, 7

Problem Set 9 Due December, 7 EE226: Random Proesses in Sysems Leurer: Jean C. Walrand Problem Se 9 Due Deember, 7 Fall 6 GSI: Assane Gueye his problem se essenially reviews Convergene and Renewal proesses. No all exerises are o be

More information

3. Differential Equations

3. Differential Equations 3. Differenial Equaions 3.. inear Differenial Equaions of Firs rder A firs order differenial equaion is an equaion of he form d() d ( ) = F ( (),) (3.) As noed above, here will in general be a whole la

More information

Topic 1: Linear motion and forces

Topic 1: Linear motion and forces TOPIC 1 Topic 1: Linear moion and forces 1.1 Moion under consan acceleraion Science undersanding 1. Linear moion wih consan elociy is described in erms of relaionships beween measureable scalar and ecor

More information

02. MOTION. Questions and Answers

02. MOTION. Questions and Answers CLASS-09 02. MOTION Quesions and Answers PHYSICAL SCIENCE 1. Se moves a a consan speed in a consan direcion.. Reprase e same senence in fewer words using conceps relaed o moion. Se moves wi uniform velociy.

More information

One-Dimensional Kinematics

One-Dimensional Kinematics One-Dimensional Kinemaics One dimensional kinemaics refers o moion along a sraigh line. Een hough we lie in a 3-dimension world, moion can ofen be absraced o a single dimension. We can also describe moion

More information

LIGHT and SPECIAL RELATIVITY

LIGHT and SPECIAL RELATIVITY VISUAL PHYSICS ONLINE MODULE 7 NATURE OF LIGHT LIGHT and SPECIAL RELATIVITY LENGTH CONTRACTION RELATIVISTIC ADDITION OF VELOCITIES Time is a relaie quaniy: differen obserers an measuremen differen ime

More information

Chapter 2. First Order Scalar Equations

Chapter 2. First Order Scalar Equations Chaper. Firs Order Scalar Equaions We sar our sudy of differenial equaions in he same way he pioneers in his field did. We show paricular echniques o solve paricular ypes of firs order differenial equaions.

More information

Linear Time-invariant systems, Convolution, and Cross-correlation

Linear Time-invariant systems, Convolution, and Cross-correlation Linear Time-invarian sysems, Convoluion, and Cross-correlaion (1) Linear Time-invarian (LTI) sysem A sysem akes in an inpu funcion and reurns an oupu funcion. x() T y() Inpu Sysem Oupu y() = T[x()] An

More information

Fall 2017 Social Sciences 7418 University of Wisconsin-Madison Problem Set 1 Answers

Fall 2017 Social Sciences 7418 University of Wisconsin-Madison Problem Set 1 Answers Eonomis 435 enzie D. Cinn Fall 7 Soial Sienes 748 Universiy of Wisonsin-adison rolem Se Answers Due in leure on Wednesday, Sepemer. Be sure o pu your name on your prolem se. u oxes around your answers

More information

KEY. Math 334 Midterm I Fall 2008 sections 001 and 003 Instructor: Scott Glasgow

KEY. Math 334 Midterm I Fall 2008 sections 001 and 003 Instructor: Scott Glasgow 1 KEY Mah 4 Miderm I Fall 8 secions 1 and Insrucor: Sco Glasgow Please do NOT wrie on his eam. No credi will be given for such work. Raher wrie in a blue book, or on our own paper, preferabl engineering

More information

Math 333 Problem Set #2 Solution 14 February 2003

Math 333 Problem Set #2 Solution 14 February 2003 Mah 333 Problem Se #2 Soluion 14 February 2003 A1. Solve he iniial value problem dy dx = x2 + e 3x ; 2y 4 y(0) = 1. Soluion: This is separable; we wrie 2y 4 dy = x 2 + e x dx and inegrae o ge The iniial

More information

Module 2 F c i k c s la l w a s o s f dif di fusi s o i n

Module 2 F c i k c s la l w a s o s f dif di fusi s o i n Module Fick s laws of diffusion Fick s laws of diffusion and hin film soluion Adolf Fick (1855) proposed: d J α d d d J (mole/m s) flu (m /s) diffusion coefficien and (mole/m 3 ) concenraion of ions, aoms

More information

4.6 One Dimensional Kinematics and Integration

4.6 One Dimensional Kinematics and Integration 4.6 One Dimensional Kinemaics and Inegraion When he acceleraion a( of an objec is a non-consan funcion of ime, we would like o deermine he ime dependence of he posiion funcion x( and he x -componen of

More information

û s L u t 0 s a ; i.e., û s 0

û s L u t 0 s a ; i.e., û s 0 Te Hille-Yosida Teorem We ave seen a wen e absrac IVP is uniquely solvable en e soluion operaor defines a semigroup of bounded operaors. We ave no ye discussed e condiions under wic e IVP is uniquely solvable.

More information

PHYS-3301 Lecture 5. Chapter 2. Announcement. Sep. 12, Special Relativity. What about y and z coordinates? (x - direction of motion)

PHYS-3301 Lecture 5. Chapter 2. Announcement. Sep. 12, Special Relativity. What about y and z coordinates? (x - direction of motion) Announemen Course webpage hp://www.phys.u.edu/~slee/33/ Tebook PHYS-33 Leure 5 HW (due 9/4) Chaper, 6, 36, 4, 45, 5, 5, 55, 58 Sep., 7 Chaper Speial Relaiiy. Basi Ideas. Consequenes of Einsein s Posulaes

More information

Continuous Time Linear Time Invariant (LTI) Systems. Dr. Ali Hussein Muqaibel. Introduction

Continuous Time Linear Time Invariant (LTI) Systems. Dr. Ali Hussein Muqaibel. Introduction /9/ Coninuous Time Linear Time Invarian (LTI) Sysems Why LTI? Inroducion Many physical sysems. Easy o solve mahemaically Available informaion abou analysis and design. We can apply superposiion LTI Sysem

More information

mywbut.com Lesson 11 Study of DC transients in R-L-C Circuits

mywbut.com Lesson 11 Study of DC transients in R-L-C Circuits mywbu.om esson Sudy of DC ransiens in R--C Ciruis mywbu.om Objeives Be able o wrie differenial equaion for a d iruis onaining wo sorage elemens in presene of a resisane. To develop a horough undersanding

More information

Generalized electromagnetic energy-momentum tensor and scalar curvature of space at the location of charged particle

Generalized electromagnetic energy-momentum tensor and scalar curvature of space at the location of charged particle Generalized eleromagnei energy-momenum ensor and salar urvaure of spae a he loaion of harged parile A.L. Kholmeskii 1, O.V. Missevih and T. Yarman 3 1 Belarus Sae Universiy, Nezavisimosi Avenue, 0030 Minsk,

More information

Ground Rules. PC1221 Fundamentals of Physics I. Kinematics. Position. Lectures 3 and 4 Motion in One Dimension. A/Prof Tay Seng Chuan

Ground Rules. PC1221 Fundamentals of Physics I. Kinematics. Position. Lectures 3 and 4 Motion in One Dimension. A/Prof Tay Seng Chuan Ground Rules PC11 Fundamenals of Physics I Lecures 3 and 4 Moion in One Dimension A/Prof Tay Seng Chuan 1 Swich off your handphone and pager Swich off your lapop compuer and keep i No alking while lecure

More information

Math 334 Fall 2011 Homework 11 Solutions

Math 334 Fall 2011 Homework 11 Solutions Dec. 2, 2 Mah 334 Fall 2 Homework Soluions Basic Problem. Transform he following iniial value problem ino an iniial value problem for a sysem: u + p()u + q() u g(), u() u, u () v. () Soluion. Le v u. Then

More information

Summary of heat engines so far

Summary of heat engines so far ummary of ea engines so far - ermodynami sysem in a proess onneing sae o sae - In is proess, e sysem an do ork and emi/absorb ea - Wa proesses maximize ork done by e sysem? - We ave proven a reversible

More information

B Signals and Systems I Solutions to Midterm Test 2. xt ()

B Signals and Systems I Solutions to Midterm Test 2. xt () 34-33B Signals and Sysems I Soluions o Miderm es 34-33B Signals and Sysems I Soluions o Miderm es ednesday Marh 7, 7:PM-9:PM Examiner: Prof. Benoi Boule Deparmen of Elerial and Compuer Engineering MGill

More information

ln y t 2 t c where c is an arbitrary real constant

ln y t 2 t c where c is an arbitrary real constant SOLUTION TO THE PROBLEM.A y y subjec o condiion y 0 8 We recognize is as a linear firs order differenial equaion wi consan coefficiens. Firs we sall find e general soluion, and en we sall find one a saisfies

More information

III. Direct evolution of the density: The Liouville Operator

III. Direct evolution of the density: The Liouville Operator Cem 564 Lecure 8 3mar From Noes 8 003,005,007, 009 TIME IN QUANTUM MECANICS. I Ouline I. Te ime dependen Scroedinger equaion; ime dependence of energy eigensaes II.. Sae vecor (wave funcion) ime evoluion

More information

Notes 04 largely plagiarized by %khc

Notes 04 largely plagiarized by %khc Noes 04 largely plagiarized by %khc Convoluion Recap Some ricks: x() () =x() x() (, 0 )=x(, 0 ) R ț x() u() = x( )d x() () =ẋ() This hen ells us ha an inegraor has impulse response h() =u(), and ha a differeniaor

More information

Generalized The General Relativity Using Generalized Lorentz Transformation

Generalized The General Relativity Using Generalized Lorentz Transformation P P P P IJISET - Inernaional Journal of Innoaie Siene, Engineering & Tehnology, Vol. 3 Issue 4, April 6. www.ijise.om ISSN 348 7968 Generalized The General Relaiiy Using Generalized Lorenz Transformaion

More information

Optimal Transform: The Karhunen-Loeve Transform (KLT)

Optimal Transform: The Karhunen-Loeve Transform (KLT) Opimal ransform: he Karhunen-Loeve ransform (KL) Reall: We are ineresed in uniary ransforms beause of heir nie properies: energy onservaion, energy ompaion, deorrelaion oivaion: τ (D ransform; assume separable)

More information

15. Vector Valued Functions

15. Vector Valued Functions 1. Vecor Valued Funcions Up o his poin, we have presened vecors wih consan componens, for example, 1, and,,4. However, we can allow he componens of a vecor o be funcions of a common variable. For example,

More information

Physics Notes - Ch. 2 Motion in One Dimension

Physics Notes - Ch. 2 Motion in One Dimension Physics Noes - Ch. Moion in One Dimension I. The naure o physical quaniies: scalars and ecors A. Scalar quaniy ha describes only magniude (how much), NOT including direcion; e. mass, emperaure, ime, olume,

More information

CHAPTER 2 Signals And Spectra

CHAPTER 2 Signals And Spectra CHAPER Signals And Specra Properies of Signals and Noise In communicaion sysems he received waveform is usually caegorized ino he desired par conaining he informaion, and he undesired par. he desired par

More information

( ) ( ) if t = t. It must satisfy the identity. So, bulkiness of the unit impulse (hyper)function is equal to 1. The defining characteristic is

( ) ( ) if t = t. It must satisfy the identity. So, bulkiness of the unit impulse (hyper)function is equal to 1. The defining characteristic is UNIT IMPULSE RESPONSE, UNIT STEP RESPONSE, STABILITY. Uni impulse funcion (Dirac dela funcion, dela funcion) rigorously defined is no sricly a funcion, bu disribuion (or measure), precise reamen requires

More information

Class Meeting # 10: Introduction to the Wave Equation

Class Meeting # 10: Introduction to the Wave Equation MATH 8.5 COURSE NOTES - CLASS MEETING # 0 8.5 Inroducion o PDEs, Fall 0 Professor: Jared Speck Class Meeing # 0: Inroducion o he Wave Equaion. Wha is he wave equaion? The sandard wave equaion for a funcion

More information

u(x) = e x 2 y + 2 ) Integrate and solve for x (1 + x)y + y = cos x Answer: Divide both sides by 1 + x and solve for y. y = x y + cos x

u(x) = e x 2 y + 2 ) Integrate and solve for x (1 + x)y + y = cos x Answer: Divide both sides by 1 + x and solve for y. y = x y + cos x . 1 Mah 211 Homework #3 February 2, 2001 2.4.3. y + (2/x)y = (cos x)/x 2 Answer: Compare y + (2/x) y = (cos x)/x 2 wih y = a(x)x + f(x)and noe ha a(x) = 2/x. Consequenly, an inegraing facor is found wih

More information

CHEMISTRY 047 STUDY PACKAGE

CHEMISTRY 047 STUDY PACKAGE CHEMISTRY 047 STUDY PACKAGE Tis maerial is inended as a review of skills you once learned. PREPARING TO WRITE THE ASSESSMENT VIU/CAP/D:\Users\carpenem\AppDaa\Local\Microsof\Windows\Temporary Inerne Files\Conen.Oulook\JTXREBLD\Cemisry

More information

An Inventory Model for Weibull Time-Dependence. Demand Rate with Completely Backlogged. Shortages

An Inventory Model for Weibull Time-Dependence. Demand Rate with Completely Backlogged. Shortages Inernaional Mahemaial Forum, 5, 00, no. 5, 675-687 An Invenory Model for Weibull Time-Dependene Demand Rae wih Compleely Baklogged Shorages C. K. Tripahy and U. Mishra Deparmen of Saisis, Sambalpur Universiy

More information

10. State Space Methods

10. State Space Methods . Sae Space Mehods. Inroducion Sae space modelling was briefly inroduced in chaper. Here more coverage is provided of sae space mehods before some of heir uses in conrol sysem design are covered in he

More information

Basic Circuit Elements Professor J R Lucas November 2001

Basic Circuit Elements Professor J R Lucas November 2001 Basic Circui Elemens - J ucas An elecrical circui is an inerconnecion of circui elemens. These circui elemens can be caegorised ino wo ypes, namely acive and passive elemens. Some Definiions/explanaions

More information

Physics for Scientists and Engineers. Chapter 2 Kinematics in One Dimension

Physics for Scientists and Engineers. Chapter 2 Kinematics in One Dimension Physics for Scieniss and Engineers Chaper Kinemaics in One Dimension Spring, 8 Ho Jung Paik Kinemaics Describes moion while ignoring he agens (forces) ha caused he moion For now, will consider moion in

More information

Lecture #6: Continuous-Time Signals

Lecture #6: Continuous-Time Signals EEL5: Discree-Time Signals and Sysems Lecure #6: Coninuous-Time Signals Lecure #6: Coninuous-Time Signals. Inroducion In his lecure, we discussed he ollowing opics:. Mahemaical represenaion and ransormaions

More information

Zürich. ETH Master Course: L Autonomous Mobile Robots Localization II

Zürich. ETH Master Course: L Autonomous Mobile Robots Localization II Roland Siegwar Margaria Chli Paul Furgale Marco Huer Marin Rufli Davide Scaramuzza ETH Maser Course: 151-0854-00L Auonomous Mobile Robos Localizaion II ACT and SEE For all do, (predicion updae / ACT),

More information

CHAPTER 6: FIRST-ORDER CIRCUITS

CHAPTER 6: FIRST-ORDER CIRCUITS EEE5: CI CUI T THEOY CHAPTE 6: FIST-ODE CICUITS 6. Inroducion This chaper considers L and C circuis. Applying he Kirshoff s law o C and L circuis produces differenial equaions. The differenial equaions

More information

Physics 127b: Statistical Mechanics. Fokker-Planck Equation. Time Evolution

Physics 127b: Statistical Mechanics. Fokker-Planck Equation. Time Evolution Physics 7b: Saisical Mechanics Fokker-Planck Equaion The Langevin equaion approach o he evoluion of he velociy disribuion for he Brownian paricle migh leave you uncomforable. A more formal reamen of his

More information

Phys 221 Fall Chapter 2. Motion in One Dimension. 2014, 2005 A. Dzyubenko Brooks/Cole

Phys 221 Fall Chapter 2. Motion in One Dimension. 2014, 2005 A. Dzyubenko Brooks/Cole Phys 221 Fall 2014 Chaper 2 Moion in One Dimension 2014, 2005 A. Dzyubenko 2004 Brooks/Cole 1 Kinemaics Kinemaics, a par of classical mechanics: Describes moion in erms of space and ime Ignores he agen

More information

R =, C = 1, and f ( t ) = 1 for 1 second from t = 0 to t = 1. The initial charge on the capacitor is q (0) = 0. We have already solved this problem.

R =, C = 1, and f ( t ) = 1 for 1 second from t = 0 to t = 1. The initial charge on the capacitor is q (0) = 0. We have already solved this problem. Theoreical Physics Prof. Ruiz, UNC Asheville, docorphys on YouTube Chaper U Noes. Green's Funcions R, C 1, and f ( ) 1 for 1 second from o 1. The iniial charge on he capacior is q (). We have already solved

More information

23.5. Half-Range Series. Introduction. Prerequisites. Learning Outcomes

23.5. Half-Range Series. Introduction. Prerequisites. Learning Outcomes Half-Range Series 2.5 Inroducion In his Secion we address he following problem: Can we find a Fourier series expansion of a funcion defined over a finie inerval? Of course we recognise ha such a funcion

More information

TRANSMISSION LINES AND WAVEGUIDES. Uniformity along the Direction of Propagation

TRANSMISSION LINES AND WAVEGUIDES. Uniformity along the Direction of Propagation TRANSMISSION LINES AND WAVEGUIDES Uniformi along he Direion of Propagaion Definiion: Transmission Line TL is he erm o desribe ransmission ssems wih wo or more mealli onduors eleriall insulaed from eah

More information

Chapter 8 The Complete Response of RL and RC Circuits

Chapter 8 The Complete Response of RL and RC Circuits Chaper 8 The Complee Response of RL and RC Circuis Seoul Naional Universiy Deparmen of Elecrical and Compuer Engineering Wha is Firs Order Circuis? Circuis ha conain only one inducor or only one capacior

More information

Chapter 12: Velocity, acceleration, and forces

Chapter 12: Velocity, acceleration, and forces To Feel a Force Chaper Spring, Chaper : A. Saes of moion For moion on or near he surface of he earh, i is naural o measure moion wih respec o objecs fixed o he earh. The 4 hr. roaion of he earh has a measurable

More information

Ex: An object is released from rest. Find the proportion of its displacements during the first and second seconds. y. g= 9.8 m/s 2

Ex: An object is released from rest. Find the proportion of its displacements during the first and second seconds. y. g= 9.8 m/s 2 FREELY FALLING OBJECTS Free fall Acceleraion If e only force on an objec is is wei, e objec is said o be freely fallin, reardless of e direcion of moion. All freely fallin objecs (eay or li) ae e same

More information

Hamilton Jacobi equations

Hamilton Jacobi equations Hamilon Jacobi equaions Inoducion o PDE The rigorous suff from Evans, mosly. We discuss firs u + H( u = 0, (1 where H(p is convex, and superlinear a infiniy, H(p lim p p = + This by comes by inegraion

More information

COSC 3361 Numerical Analysis I Ordinary Differential Equations (I) - Introduction

COSC 3361 Numerical Analysis I Ordinary Differential Equations (I) - Introduction COSC 336 Numerial Analsis I Ordinar Dierenial Equaions I - Inroduion Edgar Gabriel Fall 5 COSC 336 Numerial Analsis I Edgar Gabriel Terminolog Dierenial equaions: equaions onaining e derivaive o a union

More information

Continuous Time. Time-Domain System Analysis. Impulse Response. Impulse Response. Impulse Response. Impulse Response. ( t) + b 0.

Continuous Time. Time-Domain System Analysis. Impulse Response. Impulse Response. Impulse Response. Impulse Response. ( t) + b 0. Time-Domain Sysem Analysis Coninuous Time. J. Robers - All Righs Reserved. Edied by Dr. Rober Akl 1. J. Robers - All Righs Reserved. Edied by Dr. Rober Akl 2 Le a sysem be described by a 2 y ( ) + a 1

More information

Li An-Ping. Beijing , P.R.China

Li An-Ping. Beijing , P.R.China A NEW TYPE OF CIPHER: DICING_CSB Li An-Ping Beijing 100085, P.R.China apli0001@sina.com Absrac: In his paper, we will propose a new ype of cipher named DICING_CSB, which come from our previous a synchronous

More information

Simulation-Solving Dynamic Models ABE 5646 Week 2, Spring 2010

Simulation-Solving Dynamic Models ABE 5646 Week 2, Spring 2010 Simulaion-Solving Dynamic Models ABE 5646 Week 2, Spring 2010 Week Descripion Reading Maerial 2 Compuer Simulaion of Dynamic Models Finie Difference, coninuous saes, discree ime Simple Mehods Euler Trapezoid

More information

Number of modes per unit volume of the cavity per unit frequency interval is given by: Mode Density, N

Number of modes per unit volume of the cavity per unit frequency interval is given by: Mode Density, N SMES404 - LASER PHYSCS (LECTURE 5 on /07/07) Number of modes per uni volume of he aviy per uni frequeny inerval is given by: 8 Mode Densiy, N (.) Therefore, energy densiy (per uni freq. inerval); U 8h

More information

LAPLACE TRANSFORM AND TRANSFER FUNCTION

LAPLACE TRANSFORM AND TRANSFER FUNCTION CHBE320 LECTURE V LAPLACE TRANSFORM AND TRANSFER FUNCTION Professor Dae Ryook Yang Spring 2018 Dep. of Chemical and Biological Engineering 5-1 Road Map of he Lecure V Laplace Transform and Transfer funcions

More information

From a detailed model of porous catalytic washcoat to the effective model of entire catalytic monolith

From a detailed model of porous catalytic washcoat to the effective model of entire catalytic monolith Insiue of Chemial ehnology Prague Ceh Republi From a deailed model of porous aalyi washoa o he effeive model of enire aalyi monolih Per Kočí Vladimír Nová Franiše Šěpáne Miloš Mare Milan Kubíče hp://www.vsh./monolih

More information

Method For Solving Fuzzy Integro-Differential Equation By Using Fuzzy Laplace Transformation

Method For Solving Fuzzy Integro-Differential Equation By Using Fuzzy Laplace Transformation INERNAIONAL JOURNAL OF SCIENIFIC & ECHNOLOGY RESEARCH VOLUME 3 ISSUE 5 May 4 ISSN 77-866 Meod For Solving Fuzzy Inegro-Differenial Equaion By Using Fuzzy Laplace ransformaion Manmoan Das Danji alukdar

More information

Vehicle Arrival Models : Headway

Vehicle Arrival Models : Headway Chaper 12 Vehicle Arrival Models : Headway 12.1 Inroducion Modelling arrival of vehicle a secion of road is an imporan sep in raffic flow modelling. I has imporan applicaion in raffic flow simulaion where

More information

THE SINE INTEGRAL. x dt t

THE SINE INTEGRAL. x dt t THE SINE INTEGRAL As one learns in elemenary calculus, he limi of sin(/ as vanishes is uniy. Furhermore he funcion is even and has an infinie number of zeros locaed a ±n for n1,,3 Is plo looks like his-

More information

Integration of the equation of motion with respect to time rather than displacement leads to the equations of impulse and momentum.

Integration of the equation of motion with respect to time rather than displacement leads to the equations of impulse and momentum. Inegraion of he equaion of moion wih respec o ime raher han displacemen leads o he equaions of impulse and momenum. These equaions greal faciliae he soluion of man problems in which he applied forces ac

More information

From Particles to Rigid Bodies

From Particles to Rigid Bodies Rigid Body Dynamics From Paricles o Rigid Bodies Paricles No roaions Linear velociy v only Rigid bodies Body roaions Linear velociy v Angular velociy ω Rigid Bodies Rigid bodies have boh a posiion and

More information

Signals and Systems Linear Time-Invariant (LTI) Systems

Signals and Systems Linear Time-Invariant (LTI) Systems Signals and Sysems Linear Time-Invarian (LTI) Sysems Chang-Su Kim Discree-Time LTI Sysems Represening Signals in Terms of Impulses Sifing propery 0 x[ n] x[ k] [ n k] k x[ 2] [ n 2] x[ 1] [ n1] x[0] [

More information

Math 2214 Solution Test 1 B Spring 2016

Math 2214 Solution Test 1 B Spring 2016 Mah 14 Soluion Te 1 B Spring 016 Problem 1: Ue eparaion of ariable o ole he Iniial alue DE Soluion (14p) e =, (0) = 0 d = e e d e d = o = ln e d uing u-du b leing u = e 1 e = + where C = for he iniial

More information

Sub Module 2.6. Measurement of transient temperature

Sub Module 2.6. Measurement of transient temperature Mechanical Measuremens Prof. S.P.Venkaeshan Sub Module 2.6 Measuremen of ransien emperaure Many processes of engineering relevance involve variaions wih respec o ime. The sysem properies like emperaure,

More information

ENV 6015 Solution to Mixing Problem Set

ENV 6015 Solution to Mixing Problem Set EN 65 Soluion o ixing Problem Se. A slug of dye ( ) is injeced ino a single ank wih coninuous mixing. The flow in and ou of he ank is.5 gpm. The ank volume is 5 gallons. When will he dye concenraion equal

More information

7.3. QUANTUM MECHANICAL TREATMENT OF FLUCTUATIONS: THE ENERGY GAP HAMILTONIAN

7.3. QUANTUM MECHANICAL TREATMENT OF FLUCTUATIONS: THE ENERGY GAP HAMILTONIAN Andrei Tokmakoff, MIT Deparmen of Cemisry, 3/5/8 7-5 7.3. QUANTUM MECANICAL TREATMENT OF FLUCTUATIONS: TE ENERGY GAP AMILTONIAN Inroducion In describing flucuaions in a quanum mecanical sysem, we will

More information

The Special Theory of Relativity Chapter II

The Special Theory of Relativity Chapter II The Speial Theory of Relaiiy Chaper II 1. Relaiisi Kinemais. Time dilaion and spae rael 3. Lengh onraion 4. Lorenz ransformaions 5. Paradoes? Simulaneiy/Relaiiy If one obserer sees he eens as simulaneous,

More information

Mahgoub Transform Method for Solving Linear Fractional Differential Equations

Mahgoub Transform Method for Solving Linear Fractional Differential Equations Mahgoub Transform Mehod for Solving Linear Fraional Differenial Equaions A. Emimal Kanaga Puhpam 1,* and S. Karin Lydia 2 1* Assoiae Professor&Deparmen of Mahemais, Bishop Heber College Tiruhirappalli,

More information

The Arcsine Distribution

The Arcsine Distribution The Arcsine Disribuion Chris H. Rycrof Ocober 6, 006 A common heme of he class has been ha he saisics of single walker are ofen very differen from hose of an ensemble of walkers. On he firs homework, we

More information

System of Linear Differential Equations

System of Linear Differential Equations Sysem of Linear Differenial Equaions In "Ordinary Differenial Equaions" we've learned how o solve a differenial equaion for a variable, such as: y'k5$e K2$x =0 solve DE yx = K 5 2 ek2 x C_C1 2$y''C7$y

More information

23.2. Representing Periodic Functions by Fourier Series. Introduction. Prerequisites. Learning Outcomes

23.2. Representing Periodic Functions by Fourier Series. Introduction. Prerequisites. Learning Outcomes Represening Periodic Funcions by Fourier Series 3. Inroducion In his Secion we show how a periodic funcion can be expressed as a series of sines and cosines. We begin by obaining some sandard inegrals

More information

Let us start with a two dimensional case. We consider a vector ( x,

Let us start with a two dimensional case. We consider a vector ( x, Roaion marices We consider now roaion marices in wo and hree dimensions. We sar wih wo dimensions since wo dimensions are easier han hree o undersand, and one dimension is a lile oo simple. However, our

More information

MOMENTUM CONSERVATION LAW

MOMENTUM CONSERVATION LAW 1 AAST/AEDT AP PHYSICS B: Impulse and Momenum Le us run an experimen: The ball is moving wih a velociy of V o and a force of F is applied on i for he ime inerval of. As he resul he ball s velociy changes

More information

ME 391 Mechanical Engineering Analysis

ME 391 Mechanical Engineering Analysis Fall 04 ME 39 Mechanical Engineering Analsis Eam # Soluions Direcions: Open noes (including course web posings). No books, compuers, or phones. An calculaor is fair game. Problem Deermine he posiion of

More information

DEPARTMENT OF ELECTRICAL AND ELECTRONIC ENGINEERING EXAMINATIONS 2008

DEPARTMENT OF ELECTRICAL AND ELECTRONIC ENGINEERING EXAMINATIONS 2008 [E5] IMPERIAL COLLEGE LONDON DEPARTMENT OF ELECTRICAL AND ELECTRONIC ENGINEERING EXAMINATIONS 008 EEE/ISE PART II MEng BEng and ACGI SIGNALS AND LINEAR SYSTEMS Time allowed: :00 hours There are FOUR quesions

More information

ADDITIONAL PROBLEMS (a) Find the Fourier transform of the half-cosine pulse shown in Fig. 2.40(a). Additional Problems 91

ADDITIONAL PROBLEMS (a) Find the Fourier transform of the half-cosine pulse shown in Fig. 2.40(a). Additional Problems 91 ddiional Problems 9 n inverse relaionship exiss beween he ime-domain and freuency-domain descripions of a signal. Whenever an operaion is performed on he waveform of a signal in he ime domain, a corresponding

More information

Math Final Exam Solutions

Math Final Exam Solutions Mah 246 - Final Exam Soluions Friday, July h, 204 () Find explici soluions and give he inerval of definiion o he following iniial value problems (a) ( + 2 )y + 2y = e, y(0) = 0 Soluion: In normal form,

More information

Power of Random Processes 1/40

Power of Random Processes 1/40 Power of Random Processes 40 Power of a Random Process Recall : For deerminisic signals insananeous power is For a random signal, is a random variable for each ime. hus here is no single # o associae wih

More information

Chapter 5: Control Volume Approach and Continuity Principle Dr Ali Jawarneh

Chapter 5: Control Volume Approach and Continuity Principle Dr Ali Jawarneh Chaper 5: Conrol Volume Approach and Coninuiy Principle By Dr Ali Jawarneh Deparmen of Mechanical Engineering Hashemie Universiy 1 Ouline Rae of Flow Conrol volume approach. Conservaion of mass he coninuiy

More information

A New Formulation of Electrodynamics

A New Formulation of Electrodynamics . Eleromagnei Analysis & Appliaions 1 457-461 doi:1.436/jemaa.1.86 Published Online Augus 1 hp://www.sirp.org/journal/jemaa A New Formulaion of Elerodynamis Arbab I. Arbab 1 Faisal A. Yassein 1 Deparmen

More information

Second Law. first draft 9/23/04, second Sept Oct 2005 minor changes 2006, used spell check, expanded example

Second Law. first draft 9/23/04, second Sept Oct 2005 minor changes 2006, used spell check, expanded example Second Law firs draf 9/3/4, second Sep Oc 5 minor changes 6, used spell check, expanded example Kelvin-Planck: I is impossible o consruc a device ha will operae in a cycle and produce no effec oher han

More information

Unit 1 Test Review Physics Basics, Movement, and Vectors Chapters 1-3

Unit 1 Test Review Physics Basics, Movement, and Vectors Chapters 1-3 A.P. Physics B Uni 1 Tes Reiew Physics Basics, Moemen, and Vecors Chapers 1-3 * In sudying for your es, make sure o sudy his reiew shee along wih your quizzes and homework assignmens. Muliple Choice Reiew:

More information

CORRELATION EQUATIONS: FORCED AND FREE CONVECTION

CORRELATION EQUATIONS: FORCED AND FREE CONVECTION CHAPER 0 0. Inroducion CORREAION EQUAIONS: FORCED AND FREE CONECION A ey facor in convecion is e ea e ea ransfer coefficien. Insead of deermining we deermine e ssel number, wic a dimensionless ea ransfer

More information