Mathematical Notation Math Differential Equations
|
|
- James Barnett
- 6 years ago
- Views:
Transcription
1 Mathematical Notatio Math 3 - Differetial Equatios Name : Use Word or WordPerfect to recreate the followig documets. Each article is worth poits ad ca be prited ad give to the istructor or ed to the istructor at james@richlad.edu. If you use Microsoft Wors to create the documets, the you must prit it out ad give it to the istructor as he ca t ope those files. Type your ame at the top of each documet. Iclude the title as part of what you type. The lies aroud the title are't that importat, but if you will type at the begiig of a lie ad hit eter, both Word ad WordPerfect will draw a lie across the page for you. For expressios or equatios, you should use the equatio editor i Word or WordPerfect. The documets were created usig a 4 pt Times New Roma fot with stadard " margis. For idividual symbols (:, F, etc), you ca isert symbols. I Word, use "Isert / Symbol" ad choose the Symbol fot. For WordPerfect, use Ctrl-W ad choose the Gree set. For more complex expressios you should use the equatio editor. If there is a equatio, put both sides of the equatio ito the same equatio editor box. You will ru ito trouble i chapter 7, see the otes o the Iteret for help. There are istructios o how to use the equatio editor i a separate documet. Be sure to read through the help it provides. There are some examples at the ed that wal studets through the more difficult problems. You will wat to read the hadout o usig the equatio editor if you have ot used this software before. If you fail to type your ame o the page, you will lose poit. These otatios are due two class periods after we fiish the material for that chapter. See the caledar for exact due dates. Late wor will be accepted but will lose % per class period.
2 Chapter - Itroductio to Differetial Equatios Theorem.: A differetial equatio will have a uique solutio if both f ( xy, ) ad f y are cotiuous o some regio. Mathematical Models Populatio Dyamics: The rate of populatio growth is proportioal to total populatio at that time. dp P = Radioactive Decay: The rate at which the uclei of a substace decay is proportioal to the umber of uclei remaiig. da A = Newto's Law of Coolig: The rate at which the temperature a bo chages is proportioal to the differece betwee the temperature of the bo ad the dt surroudig medium. ( T Tm ) = Chemical Reactios: The rate at which a reactio proceeds is proportioal to the dx product of the remaiig cocetratios. = ( α X)( β X) dq dq Series Circuits: Kirchoff's secod law says L + R + q = E () t C Fallig Bodies: Without air resistace ad a positive upwards directio, ds dv m = mg or m mg. With air resistace (viscous dampig) ad a = dv positive egative directio, m mg v or. = ds ds m + = mg Slippig Chai: For a chai i motio aroud ad frictioless peg, d x g x = L Suspeded Cables: If T is the tesio taget to the lowest poit ad W is the portio of the vertical load betwee two poits, the dx = W T
3 Chapter - First-Order Differetial Equatios A first-order DE is separable if it ca be writte i the form g h( y) dx = The stadard form for a liear first-order DE is P y f ad is dx + = homogeeous if. The solutio to this DE is the sum of two solutios f ( x ) = y = yc + yp where yc is the geeral solutio to the homogeous DE ad y p is the particular solutio to the ohomogeeous DE. The procedure ow as variatio of parameters leads to a itegratig factor u = e P xdx. The error fuctio ad complemetary error fuctios are defied by x t = erf x e π t ad erfc x = e ad erf + erfc =. x π f f For a fuctio z = f ( x, y), the differetial dz = dx +. If the fuctio is a x y costat, the the differetial is. A DE of the form M ( x y) dx, + N x, y = is a exact differetial equatio if the left had side is a differetial of some fuctio f ( xy, ). If M ad N are cotiuous ad have cotiuous partial M N derivatives o some regio, the it is exact if ad oly if =. If a DE is y x exact, the you ca fid the potetial fuctio f xy, by itegratig Mdx ad N ad fidig the uio of all the terms. A fuctio is homogeeous of degree " if it has the property that f tx, ty = t α f x, y y = ux x = vy. The substitutios or will reduce a homogeous equatio to a separable first-order DE. Beroulli's equatio is substitutio u = y. P x y f x y dx + = ad ca be solved with the
4 Chapter 3 - Modelig with First-Order Differetial Equatios Kirchoff's Laws: Let be impressed voltage, be curret, q t be charge, L be iductace, E () t i( t ) dq R be resistace, ad C be capacitace. Curret ad charge related by i() t =. Coservatio of Charge ( st law): The sum of the currets eterig a ode must equal the sum of the currets exitig a ode. Coservatio of Eergy ( d law): The voltages aroud a closed path i a circuit must sum to zero (voltage drops are egative, voltage gais are positive). di d q The voltage drop across a iductor is L = L. The voltage drop across a dq resistor is ir = R. The voltage drop across a capacitor is q. The sum of the C dq dq voltage drops is equal to the impressed voltage L + R + q = E() t. C Logistic Equatio: Whe the rate of growth is proportioal to the amout preset ad the amout remaiig before reachig the carryig capacity K, the the dp ap resultig DE is P ( a bp ) ad the solutio is P t = at bp + a bp e = () x( t) Lota-Volterra Predator-Prey Model: If is the populatio of a predator ad y() t is the populatio of the prey at time t, the the populatios ca be dx modeled by the system of oliear system of DEs: x( a by) ad = + y( d cx) =
5 Chapter 4 - Higher-Order Differetial Equatios Superpositio Priciple - Homogeeous Equatios: A liear combiatio of solutios to a homogeeous DE is also a solutio. This meas that costat multiples of a solutio to a homogeeous DE are also solutios ad the trivial solutio y = is always a solutio to a homogeeous DE. A set of fuctios is liearly depedet if there is some liear combiatio of the fuctios that is zero for every x i the iterval. A set of solutios is liearly idepedet if ad oly if the Wrosia is ot zero for every x i some iterval. A set of liearly idepedet solutios to a homogeeous DE is set to be a fudametal set of solutios ad there is always a fudametal set for a homogeeous DE. The Wrosia is defied by f f f f f f W( f, f,, f ) = ( ) ( ) ( ) f f f Ay fuctio free of arbitrary parameters that satisfies a ohomogeeous DE is a particular solutio, y. The complemetary fuctio, y, is the geeral solutio to p the associated homogeeous DE. The geeral solutio to a ohomogeeous equatio is y = yc + yp Reductio of Order: If DE i stadard form y c is a solutio to a secod-order liear homogeeous y + P x y + Q x y = Pxdx e y = y dx y, the a secod solutio is Homogeeous Liear Equatios with Costat Coefficiets: The auxiliary equatio is formed by covertig the DE ito a polyomial fuctio. For example, ( 5) ( 4) 3y y + 78y 34y + 99y 6y = would have a auxiliary equatio of m m + 78m 34m + 99m 6 =. Fid the solutios to the auxiliary
6 equatio, which i this case are m = with multiplicity, m = /3, ad m= ± 3i. From each of the roots, we form a liear idepedet combiatio of x x x 3 x terms ivolvig e. Thus y = ce + c xe + c e + e c cos3x+ c si 3x. Two commo DEs y + y = ad y y = have solutios of x x y = ccos x+ csi x ad y = ce + ce respectively. The solutios to y y = ca also be writte as y = ccosh x+ csih x. Method of Udetermied Coefficiets - Superpositio Approach: This method is useful whe the coefficiets of the DE are costats ad the iput fuctio is comprised of sums or products of costat, polyomial, expoetial, or trigoometric (sie ad cosie) fuctios. You mae guesses about the particular solutios based o the form of the iput ad the equate coefficiets. Method of Udetermied Coefficiets - Aihilator Approach: L is a aihilator of a fuctio if it has costat coefficiets ad L f x =. Use ( ) to aihilate fuctios of the form. Use D α to aihilate fuctios of the x x form. Use D αd α β + + to aihilate fuctios of the form α x α x x e cos β x or x e si β x. I each case, the is a whole umber less tha. x e α Variatio of Parameters: Variatio of parameters ca be used whe the coefficiets of the DE are ot costats. It ivolves the Wrosia ad two y f yf fuctios u = ad u = that are itegrated to fid u ad W W. The particular solutio is the y = u y + u y. u p Cauchy-Euler Equatio: A liear differetial equatio composed of terms d y m ax, where the a factors are costat, ca be solved by tryig. y = x Treat lie the auxiliary equatio, except use l x istead of x. For example, if the lx solutios are m= ± 3i, the y = e ccos( 3l x) + csi ( 3l x), which simplifies to y = x ccos ( 3l x) + csi ( 3l x). D
7 Chapter 5 - Modelig with Higher-Order Differetial Equatios d x d x Free Udamped Motio: m = x ca be writte as + ω x = where ω = ad has a solutio of x( t) = ccosωt+ csiωt. m d x dx Free Damped Motio: m = x β ca be writte as d x dx β + λ + ω x = where λ = ad ω =. If λ ω >, the system is m m t overdamped ad t t x t e λ ce λ ω c e λ ω = +. If λ ω =, the system is () ( ) λt critically damped ad the solutio is x t = e c + c t. If λ ω <, the system is uderdamped ad the solutio is λt x() t = e ccos( t ω λ ) + csi ( t ω λ ). Drive Motio: I drive motio, a exteral force f ( t) is applied to the system d x dx f t ad the DE is + λ + ω x = F() t where F. Use the method of () t = m udetermied coefficiets or variatio of parameters to solve the ohomogeeous equatio. dq dq Series Circuit Aalogue: The DE L + R + q = E() t is overdamped, C critically damped, or uderdamped depedig o the value of the discrimiat R 4 L/ C. Deflectio of a Beam: Deflectio satisfies the DE flexural rigidity ad w EI is the load per uit legth. 4 d y 4 dx = w x where EI is the
8 Chapter 6 - Series Solutios of Liear Equatios If x = x is a ordiary poit, the a power series cetered at x is = y = c x x Method of Frobeius: If least oe solutio of the form = y = c x x. + r x = x is a regular sigular poit the there exists at r y = x x c x x =, where r is a costat to be determied. Bessel's Equatio of Order v: xy+ xy+ x v y= which simplifies to Bessel Fuctios of the First Kid: The two fuctios are + v ( ) x Jv =, which coverges o [,) if v, ad =! Γ + v+ J J v v order v is v ( ) x (, ) Jv =! Γ( v+ ) =, which coverges o. ad are liearly idepedet, so the geeral solutio of Bessel's Equatio of y = c J x + c J x v v where v is ot a iteger. Bessel Fuctios of the Secod Kid: If v is ot a iteger, the Jv x ad cos vπ Jv J v Yv = are liearly idepedet solutios of the Bessel's si vπ y = c J x + c Y x equatio of order v so the geeral solutio ca be writte as v Legedre's Equatio of Order : x y xy y. If P x is + + = P ( x ) = P = x the solutio for order, the some of the solutios are,, ( 3 3 P x = x ), 3 ( P x = x x), ad P4 = ( 35 x 3 x + 3 ). 8 v
9 Chapter 7 - The Laplace Trasform Let f be a fuctio defied for t. The Laplace trasform of f () t is { ()} () { } st f t = e f t, provided this itegral coverges. F s = f t. Laplace trasform of a derivative: ( { ) ()} ( ) f t = s F s s f s f f at First Traslatio Theorem: { e f t } = F( s a) Uit Step Fuctio: Also ow as the Heaviside fuctio, it is useful for, t < a creatig piecewise fuctios. U ( t a) =, t a as Secod Traslatio Theorem: If the f t a U t a = e F s Derivatives of Trasforms: t f () t Covolutio: Covolutios, defied by commutative, f * g = g* f product of the Laplace trasforms, a > { } = ( ) F( s). { } d ds t f * g = f τ g t τ dτ are, ad the Laplace trasform of a covolutio is the { } { } { } f * g = f t g t = F( s) G( s). If { } t F s you let g() t =, the the trasform of a itegral is f ( τ) dτ =. s Trasform of a Periodic Fuctio: period is T. T st f () t = e f t, where the st e { } () Dirac Delta Fuctio: δ t t = limδ a t t is whe t = t ad otherwise. δ t t =. δ ( t t ) = e a st { }
10 Chapter 8 - Systems of Liear First-Order DEs Eigevalues ad Eigevectors: If X = AX is a homogeeous liear first-order system, the the polyomial equatio det A λi = is the characteristic equatio ad it's solutios are the eigevalues. We wat to write a solutio as X= Ke λt where K is the associated eigevector. The geeral solutio to a homogeous solutio is X= ck e λ + c K e λ + + c K e λ t t t Ke λt If your solutios correspod to a complex eigevalue λ = α + βi, the ad Ke λ t are both solutios. For a ohomogeeous system, the geeral solutio becomes X= X + X c p ad the method of udetermied coefficiets or variatio of parameters ca be used to fid the particular solutio. Matrix Expoetials: For a homogeeous system, we ca defie a matrix t expoetial e A so that X= e At C is a solutio to X = AX. For ay square matrix At t t of size, e = I+ At+ A + + A, which ca be writte as!! At t e = A. e At is a fudametal matrix. =! For ohomogeeous systems, t X = AX+ F ( t), the geeral solutio is At At As s X= Xc + Xp = e C+ e e F s ds. I practice, e A ca be foud from t by substitutig t = s. e At
11 Chapter 9 - Numerical Solutios of Ordiary DEs Euler's Method: I chapter (ad i Calculus II), we had Euler's Method, where y = y + h + f ( x, y) Improved Euler's Method: This method estimates the ext y value i the * sequece usig Euler's method, y = y + h + f ( x, y), ad the uses that estimate i a midpoit formula to fid the ext y used. * f ( x, y) + f ( x+, y+ ) y+ = y + h Ruge-Kutta Methods: These are geeralizatios of Euler's method where the slope f x, y is replaced by a weighted average of the slopes o the iterval x x x +. That is, y = y + h w + w wmm where the weights w are chose so that they agree with a Taylor series of order m. RK: The first-order Ruge-Kutta method is actually Euler's method. Choose = f ( x, y) ad w = to get y = y + h + f ( x, y). RK: The secod-order Ruge-Kutta method chooses values = f x y,, = f ( x + h, y + h), ad w = w = to get the improved Euler's method where y+ = y + h f ( x, y ) + f ( x + h, y + h) RK4: Let w = w4 = ad w = w3 =. Choose = f ( x, y), 6 3 f = x + h, y + h, 3 f = x + h, y + h, ad = f ( x + h, y + h ). 4 3
Math 230: Mathematical Notation
Math 3: Matheatical Notatio Purpose: Oe goal i ay course is to properly use the laguage of that subject Differetial Equatios is o differet ad ay ofte see lie a foreig laguage These otatios suarize soe
More informationMath 230: Mathematical Notation
Math 3: Matheatical Notatio Purpose: Oe goal i ay course is to properly use the laguage of that subject Differetial Equatios is o differet ad ay ofte see lie a foreig laguage These otatios suarize soe
More informationMathematical Notation Math Finite Mathematics
Mathematical Notatio Math 60 - Fiite Mathematics Use Word or WordPerfect to recreate the followig documets. Each article is worth 0 poits ad should be emailed to the istructor at james@richlad.edu. If
More informationLinear Differential Equations of Higher Order Basic Theory: Initial-Value Problems d y d y dy
Liear Differetial Equatios of Higher Order Basic Theory: Iitial-Value Problems d y d y dy Solve: a( ) + a ( )... a ( ) a0( ) y g( ) + + + = d d d ( ) Subject to: y( 0) = y0, y ( 0) = y,..., y ( 0) = y
More informationWe are mainly going to be concerned with power series in x, such as. (x)} converges - that is, lims N n
Review of Power Series, Power Series Solutios A power series i x - a is a ifiite series of the form c (x a) =c +c (x a)+(x a) +... We also call this a power series cetered at a. Ex. (x+) is cetered at
More informationMathematical Notation Math Introduction to Applied Statistics
Mathematical Notatio Math 113 - Itroductio to Applied Statistics Name : Use Word or WordPerfect to recreate the followig documets. Each article is worth 10 poits ad ca be prited ad give to the istructor
More informationEDEXCEL NATIONAL CERTIFICATE UNIT 4 MATHEMATICS FOR TECHNICIANS OUTCOME 4 - CALCULUS
EDEXCEL NATIONAL CERTIFICATE UNIT 4 MATHEMATICS FOR TECHNICIANS OUTCOME 4 - CALCULUS TUTORIAL 1 - DIFFERENTIATION Use the elemetary rules of calculus arithmetic to solve problems that ivolve differetiatio
More informationThe 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 informationmx bx kx F t. dt IR I LI V t, Q LQ RQ V t,
Lecture 5 omplex Variables II (Applicatios i Physics) (See hapter i Boas) To see why complex variables are so useful cosider first the (liear) mechaics of a sigle particle described by Newto s equatio
More informationAppendix: 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 informationMost text will write ordinary derivatives using either Leibniz notation 2 3. y + 5y= e and y y. xx tt t
Itroductio to Differetial Equatios Defiitios ad Termiolog Differetial Equatio: A equatio cotaiig the derivatives of oe or more depedet variables, with respect to oe or more idepedet variables, is said
More informationChapter 10: Power Series
Chapter : Power Series 57 Chapter Overview: Power Series The reaso series are part of a Calculus course is that there are fuctios which caot be itegrated. All power series, though, ca be itegrated because
More informationMATHEMATICS. 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 informationPAPER : IIT-JAM 2010
MATHEMATICS-MA (CODE A) Q.-Q.5: Oly oe optio is correct for each questio. Each questio carries (+6) marks for correct aswer ad ( ) marks for icorrect aswer.. Which of the followig coditios does NOT esure
More informationECE-S352 Introduction to Digital Signal Processing Lecture 3A Direct Solution of Difference Equations
ECE-S352 Itroductio to Digital Sigal Processig Lecture 3A Direct Solutio of Differece Equatios Discrete Time Systems Described by Differece Equatios Uit impulse (sample) respose h() of a DT system allows
More information5. DIFFERENTIAL EQUATIONS
5-5. DIFFERENTIAL EQUATIONS The most commo mathematical structure emploed i mathematical models of chemical egieerig professio ivolve differetial equatios. These equatios describe the rate of chage of
More informationCHAPTER 5. Theory and Solution Using Matrix Techniques
A SERIES OF CLASS NOTES FOR 2005-2006 TO INTRODUCE LINEAR AND NONLINEAR PROBLEMS TO ENGINEERS, SCIENTISTS, AND APPLIED MATHEMATICIANS DE CLASS NOTES 3 A COLLECTION OF HANDOUTS ON SYSTEMS OF ORDINARY DIFFERENTIAL
More informationNumerical Methods for Ordinary Differential Equations
Numerical Methods for Ordiary Differetial Equatios Braislav K. Nikolić Departmet of Physics ad Astroomy, Uiversity of Delaware, U.S.A. PHYS 460/660: Computatioal Methods of Physics http://www.physics.udel.edu/~bikolic/teachig/phys660/phys660.html
More informationEngineering Analysis ( & ) Lec(7) CH 2 Higher Order Linear ODEs
Philadelphia Uiversit/Facult of Egieerig Commuicatio ad Electroics Egieerig Egieerig Aalsis (6500 & 6300) Higher Order Liear ODEs Istructor: Eg. Nada khatib Email: khatib@philadelphia.edu.jo Higher order
More informationChapter 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 information8. Applications To Linear Differential Equations
8. Applicatios To Liear Differetial Equatios 8.. Itroductio 8.. Review Of Results Cocerig Liear Differetial Equatios Of First Ad Secod Orders 8.3. Eercises 8.4. Liear Differetial Equatios Of Order N 8.5.
More information1. 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 informationOlli Simula T / Chapter 1 3. Olli Simula T / Chapter 1 5
Sigals ad Systems Sigals ad Systems Sigals are variables that carry iformatio Systemstake sigals as iputs ad produce sigals as outputs The course deals with the passage of sigals through systems T-6.4
More informationINTRODUCTORY MATHEMATICAL ANALYSIS
INTRODUCTORY MATHEMATICAL ANALYSIS For Busiess, Ecoomics, ad the Life ad Social Scieces Chapter 4 Itegratio 0 Pearso Educatio, Ic. Chapter 4: Itegratio Chapter Objectives To defie the differetial. To defie
More informationApply change-of-basis formula to rewrite x as a linear combination of eigenvectors v j.
Eigevalue-Eigevector Istructor: Nam Su Wag eigemcd Ay vector i real Euclidea space of dimesio ca be uiquely epressed as a liear combiatio of liearly idepedet vectors (ie, basis) g j, j,,, α g α g α g α
More information1 1 2 = show that: over variables x and y. [2 marks] Write down necessary conditions involving first and second-order partial derivatives for ( x0, y
Questio (a) A square matrix A= A is called positive defiite if the quadratic form waw > 0 for every o-zero vector w [Note: Here (.) deotes the traspose of a matrix or a vector]. Let 0 A = 0 = show that:
More informationCastiel, Supernatural, Season 6, Episode 18
13 Differetial Equatios the aswer to your questio ca best be epressed as a series of partial differetial equatios... Castiel, Superatural, Seaso 6, Episode 18 A differetial equatio is a mathematical equatio
More informationExample 2. Find the upper bound for the remainder for the approximation from Example 1.
Lesso 8- Error Approimatios 0 Alteratig Series Remaider: For a coverget alteratig series whe approimatig the sum of a series by usig oly the first terms, the error will be less tha or equal to the absolute
More informationKinetics 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 information6.3 Testing Series With Positive Terms
6.3. TESTING SERIES WITH POSITIVE TERMS 307 6.3 Testig Series With Positive Terms 6.3. Review of what is kow up to ow I theory, testig a series a i for covergece amouts to fidig the i= sequece of partial
More informationLesson 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 informationTime-Domain Representations of LTI Systems
2.1 Itroductio Objectives: 1. Impulse resposes of LTI systems 2. Liear costat-coefficiets differetial or differece equatios of LTI systems 3. Bloc diagram represetatios of LTI systems 4. State-variable
More informationMath 113, Calculus II Winter 2007 Final Exam Solutions
Math, Calculus II Witer 7 Fial Exam Solutios (5 poits) Use the limit defiitio of the defiite itegral ad the sum formulas to compute x x + dx The check your aswer usig the Evaluatio Theorem Solutio: I this
More information(A) 0 (B) (C) (D) (E) 2.703
Class Questios 007 BC Calculus Istitute Questios for 007 BC Calculus Istitutes CALCULATOR. How may zeros does the fuctio f ( x) si ( l ( x) ) Explai how you kow. = have i the iterval (0,]? LIMITS. 00 Released
More informationCalculus 2 Test File Spring Test #1
Calculus Test File Sprig 009 Test #.) Without usig your calculator, fid the eact area betwee the curves f() = - ad g() = +..) Without usig your calculator, fid the eact area betwee the curves f() = ad
More informationx x x Using a second Taylor polynomial with remainder, find the best constant C so that for x 0,
Math Activity 9( Due with Fial Eam) Usig first ad secod Taylor polyomials with remaider, show that for, 8 Usig a secod Taylor polyomial with remaider, fid the best costat C so that for, C 9 The th Derivative
More informationEXAM-3 MATH 261: Elementary Differential Equations MATH 261 FALL 2006 EXAMINATION COVER PAGE Professor Moseley
EXAM-3 MATH 261: Elemetary Differetial Equatios MATH 261 FALL 2006 EXAMINATION COVER PAGE Professor Moseley PRINT NAME ( ) Last Name, First Name MI (What you wish to be called) ID # EXAM DATE Friday Ocober
More informationENGI 9420 Engineering Analysis Assignment 3 Solutions
ENGI 9 Egieerig Aalysis Assigmet Solutios Fall [Series solutio of ODEs, matri algebra; umerical methods; Chapters, ad ]. Fid a power series solutio about =, as far as the term i 7, to the ordiary differetial
More informationSubject: Differential Equations & Mathematical Modeling-III
Power Series Solutios of Differetial Equatios about Sigular poits Subject: Differetial Equatios & Mathematical Modelig-III Lesso: Power series solutios of differetial equatios about Sigular poits Lesso
More informationSubject: Differential Equations & Mathematical Modeling -III. Lesson: Power series solutions of Differential Equations. about ordinary points
Power series solutio of Differetial equatios about ordiary poits Subject: Differetial Equatios & Mathematical Modelig -III Lesso: Power series solutios of Differetial Equatios about ordiary poits Lesso
More informationSolution of EECS 315 Final Examination F09
Solutio of EECS 315 Fial Examiatio F9 1. Fid the umerical value of δ ( t + 4ramp( tdt. δ ( t + 4ramp( tdt. Fid the umerical sigal eergy of x E x = x[ ] = δ 3 = 11 = ( = ramp( ( 4 = ramp( 8 = 8 [ ] = (
More informationChapter 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 informationEXAM-3A-1 MATH 261: Elementary Differential Equations MATH 261 FALL 2009 EXAMINATION COVER PAGE Professor Moseley
EXAM-3A-1 MATH 261: Elemetary Differetial Equatios MATH 261 FALL 2009 EXAMINATION COVER PAGE Professor Moseley PRINT NAME ( ) Last Name, First Name MI (What you wish to be called) ID # EXAM DATE Friday,
More informationSignals & 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 information1.3 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 informationProblem 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 informationPrinciple 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 informationEE / EEE SAMPLE STUDY MATERIAL. GATE, IES & PSUs Signal System. Electrical Engineering. Postal Correspondence Course
Sigal-EE Postal Correspodece Course 1 SAMPLE STUDY MATERIAL Electrical Egieerig EE / EEE Postal Correspodece Course GATE, IES & PSUs Sigal System Sigal-EE Postal Correspodece Course CONTENTS 1. SIGNAL
More informationZeros of Polynomials
Math 160 www.timetodare.com 4.5 4.6 Zeros of Polyomials I these sectios we will study polyomials algebraically. Most of our work will be cocered with fidig the solutios of polyomial equatios of ay degree
More informationChapter 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 informationChapter 8. Euler s Gamma function
Chapter 8 Euler s Gamma fuctio The Gamma fuctio plays a importat role i the fuctioal equatio for ζ(s) that we will derive i the ext chapter. I the preset chapter we have collected some properties of the
More informationAssignment 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 informationMATH 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 informationMath 116 Final Exam December 12, 2014
Math 6 Fial Exam December 2, 24 Name: EXAM SOLUTIONS Istructor: Sectio:. Do ot ope this exam util you are told to do so. 2. This exam has 4 pages icludig this cover. There are 2 problems. Note that the
More informationFINALTERM EXAMINATION Fall 9 Calculus & Aalytical Geometry-I Questio No: ( Mars: ) - Please choose oe Let f ( x) is a fuctio such that as x approaches a real umber a, either from left or right-had-side,
More informationSeptember 2012 C1 Note. C1 Notes (Edexcel) Copyright - For AS, A2 notes and IGCSE / GCSE worksheets 1
September 0 s (Edecel) Copyright www.pgmaths.co.uk - For AS, A otes ad IGCSE / GCSE worksheets September 0 Copyright www.pgmaths.co.uk - For AS, A otes ad IGCSE / GCSE worksheets September 0 Copyright
More informationIIT JAM Mathematical Statistics (MS) 2006 SECTION A
IIT JAM Mathematical Statistics (MS) 6 SECTION A. If a > for ad lim a / L >, the which of the followig series is ot coverget? (a) (b) (c) (d) (d) = = a = a = a a + / a lim a a / + = lim a / a / + = lim
More informationCalculus 2 Test File Fall 2013
Calculus Test File Fall 013 Test #1 1.) Without usig your calculator, fid the eact area betwee the curves f() = 4 - ad g() = si(), -1 < < 1..) Cosider the followig solid. Triagle ABC is perpedicular to
More informationSection 11.8: Power Series
Sectio 11.8: Power Series 1. Power Series I this sectio, we cosider geeralizig the cocept of a series. Recall that a series is a ifiite sum of umbers a. We ca talk about whether or ot it coverges ad i
More informationA) is empty. B) is a finite set. C) can be a countably infinite set. D) can be an uncountable set.
M.A./M.Sc. (Mathematics) Etrace Examiatio 016-17 Max Time: hours Max Marks: 150 Istructios: There are 50 questios. Every questio has four choices of which exactly oe is correct. For correct aswer, 3 marks
More information3.2 Properties of Division 3.3 Zeros of Polynomials 3.4 Complex and Rational Zeros of Polynomials
Math 60 www.timetodare.com 3. Properties of Divisio 3.3 Zeros of Polyomials 3.4 Complex ad Ratioal Zeros of Polyomials I these sectios we will study polyomials algebraically. Most of our work will be cocered
More informationf t dt. Write the third-degree Taylor polynomial for G
AP Calculus BC Homework - Chapter 8B Taylor, Maclauri, ad Power Series # Taylor & Maclauri Polyomials Critical Thikig Joural: (CTJ: 5 pts.) Discuss the followig questios i a paragraph: What does it mea
More informationCHAPTER 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(c) Write, but do not evaluate, an integral expression for the volume of the solid generated when R is
Calculus BC Fial Review Name: Revised 7 EXAM Date: Tuesday, May 9 Remiders:. Put ew batteries i your calculator. Make sure your calculator is i RADIAN mode.. Get a good ight s sleep. Eat breakfast. Brig:
More informationENGI 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 informationProperties and Tests of Zeros of Polynomial Functions
Properties ad Tests of Zeros of Polyomial Fuctios The Remaider ad Factor Theorems: Sythetic divisio ca be used to fid the values of polyomials i a sometimes easier way tha substitutio. This is show by
More informationMa 4121: Introduction to Lebesgue Integration Solutions to Homework Assignment 5
Ma 42: Itroductio to Lebesgue Itegratio Solutios to Homework Assigmet 5 Prof. Wickerhauser Due Thursday, April th, 23 Please retur your solutios to the istructor by the ed of class o the due date. You
More informationFREE VIBRATION RESPONSE OF A SYSTEM WITH COULOMB DAMPING
Mechaical Vibratios FREE VIBRATION RESPONSE OF A SYSTEM WITH COULOMB DAMPING A commo dampig mechaism occurrig i machies is caused by slidig frictio or dry frictio ad is called Coulomb dampig. Coulomb dampig
More informationPolynomial Functions and Their Graphs
Polyomial Fuctios ad Their Graphs I this sectio we begi the study of fuctios defied by polyomial expressios. Polyomial ad ratioal fuctios are the most commo fuctios used to model data, ad are used extesively
More informationNumerical 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 informationMTH 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, then cv V. Differential Equations Elements of Lineaer Algebra Name: Consider the differential equation. and y2 cos( kx)
Cosider the differetial equatio y '' k y 0 has particular solutios y1 si( kx) ad y cos( kx) I geeral, ay liear combiatio of y1 ad y, cy 1 1 cy where c1, c is also a solutio to the equatio above The reaso
More information1 Generating functions for balls in boxes
Math 566 Fall 05 Some otes o geeratig fuctios Give a sequece a 0, a, a,..., a,..., a geeratig fuctio some way of represetig the sequece as a fuctio. There are may ways to do this, with the most commo ways
More informationNotes on iteration and Newton s method. Iteration
Notes o iteratio ad Newto s method Iteratio Iteratio meas doig somethig over ad over. I our cotet, a iteratio is a sequece of umbers, vectors, fuctios, etc. geerated by a iteratio rule of the type 1 f
More informationChapter 6 Overview: Sequences and Numerical Series. For the purposes of AP, this topic is broken into four basic subtopics:
Chapter 6 Overview: Sequeces ad Numerical Series I most texts, the topic of sequeces ad series appears, at first, to be a side topic. There are almost o derivatives or itegrals (which is what most studets
More informationSolutions to Final Exam Review Problems
. Let f(x) 4+x. Solutios to Fial Exam Review Problems Math 5C, Witer 2007 (a) Fid the Maclauri series for f(x), ad compute its radius of covergece. Solutio. f(x) 4( ( x/4)) ( x/4) ( ) 4 4 + x. Sice the
More informationCALCULUS BASIC SUMMER REVIEW
CALCULUS BASIC SUMMER REVIEW NAME rise y y y Slope of a o vertical lie: m ru Poit Slope Equatio: y y m( ) The slope is m ad a poit o your lie is, ). ( y Slope-Itercept Equatio: y m b slope= m y-itercept=
More informationLesson 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 informationSINGLE-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 informationMath 2784 (or 2794W) University of Connecticut
ORDERS OF GROWTH PAT SMITH Math 2784 (or 2794W) Uiversity of Coecticut Date: Mar. 2, 22. ORDERS OF GROWTH. Itroductio Gaiig a ituitive feel for the relative growth of fuctios is importat if you really
More informationMIDTERM 3 CALCULUS 2. Monday, December 3, :15 PM to 6:45 PM. Name PRACTICE EXAM SOLUTIONS
MIDTERM 3 CALCULUS MATH 300 FALL 08 Moday, December 3, 08 5:5 PM to 6:45 PM Name PRACTICE EXAM S Please aswer all of the questios, ad show your work. You must explai your aswers to get credit. You will
More informationChapter 2: Numerical Methods
Chapter : Numerical Methods. Some Numerical Methods for st Order ODEs I this sectio, a summar of essetial features of umerical methods related to solutios of ordiar differetial equatios is give. I geeral,
More informationMath 116 Second Midterm November 13, 2017
Math 6 Secod Midterm November 3, 7 EXAM SOLUTIONS. Do ot ope this exam util you are told to do so.. Do ot write your ame aywhere o this exam. 3. This exam has pages icludig this cover. There are problems.
More informationMATH 129 FINAL EXAM REVIEW PACKET (Revised Spring 2008)
MATH 9 FINAL EXAM REVIEW PACKET (Revised Sprig 8) The followig questios ca be used as a review for Math 9. These questios are ot actual samples of questios that will appear o the fial exam, but they will
More informationMarkscheme May 2015 Calculus Higher level Paper 3
M5/5/MATHL/HP3/ENG/TZ0/SE/M Markscheme May 05 Calculus Higher level Paper 3 pages M5/5/MATHL/HP3/ENG/TZ0/SE/M This markscheme is the property of the Iteratioal Baccalaureate ad must ot be reproduced or
More informationMath 113 Exam 3 Practice
Math Exam Practice Exam 4 will cover.-., 0. ad 0.. Note that eve though. was tested i exam, questios from that sectios may also be o this exam. For practice problems o., refer to the last review. This
More informationMechatronics. 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 informationMATH 2411 Spring 2011 Practice Exam #1 Tuesday, March 1 st Sections: Sections ; 6.8; Instructions:
MATH 411 Sprig 011 Practice Exam #1 Tuesday, March 1 st Sectios: Sectios 6.1-6.6; 6.8; 7.1-7.4 Name: Score: = 100 Istructios: 1. You will have a total of 1 hour ad 50 miutes to complete this exam.. A No-Graphig
More informationChapter 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 informationTHEORETICAL RESEARCH REGARDING ANY STABILITY THEOREMS WITH APPLICATIONS. Marcel Migdalovici 1 and Daniela Baran 2
ICSV4 Cairs Australia 9- July, 007 THEORETICAL RESEARCH REGARDING ANY STABILITY THEOREMS WITH APPLICATIONS Marcel Migdalovici ad Daiela Bara Istitute of Solid Mechaics, INCAS Elie Carafoli, 5 C-ti Mille
More informationLecture 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 informationRecurrence 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 informationTaylor polynomial solution of difference equation with constant coefficients via time scales calculus
TMSCI 3, o 3, 129-135 (2015) 129 ew Treds i Mathematical Scieces http://wwwtmscicom Taylor polyomial solutio of differece equatio with costat coefficiets via time scales calculus Veysel Fuat Hatipoglu
More informationGeneralized Semi- Markov Processes (GSMP)
Geeralized Semi- Markov Processes (GSMP) Summary Some Defiitios Markov ad Semi-Markov Processes The Poisso Process Properties of the Poisso Process Iterarrival times Memoryless property ad the residual
More informationFinal Review for MATH 3510
Fial Review for MATH 50 Calculatio 5 Give a fairly simple probability mass fuctio or probability desity fuctio of a radom variable, you should be able to compute the expected value ad variace of the variable
More informationMATH 31B: MIDTERM 2 REVIEW
MATH 3B: MIDTERM REVIEW JOE HUGHES. Evaluate x (x ) (x 3).. Partial Fractios Solutio: The umerator has degree less tha the deomiator, so we ca use partial fractios. Write x (x ) (x 3) = A x + A (x ) +
More information1 Cabin. Professor: What is. Student: ln Cabin oh Log Cabin! Professor: No. Log Cabin + C = A Houseboat!
MATH 4 Sprig 0 Exam # Tuesday March st Sectios: Sectios 6.-6.6; 6.8; 7.-7.4 Name: Score: = 00 Istructios:. You will have a total of hour ad 50 miutes to complete this exam.. A No-Graphig Calculator may
More information62. 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 informationThe type of limit that is used to find TANGENTS and VELOCITIES gives rise to the central idea in DIFFERENTIAL CALCULUS, the DERIVATIVE.
NOTES : LIMITS AND DERIVATIVES Name: Date: Period: Iitial: LESSON.1 THE TANGENT AND VELOCITY PROBLEMS Pre-Calculus Mathematics Limit Process Calculus The type of it that is used to fid TANGENTS ad VELOCITIES
More informationMath 155 (Lecture 3)
Math 55 (Lecture 3) September 8, I this lecture, we ll cosider the aswer to oe of the most basic coutig problems i combiatorics Questio How may ways are there to choose a -elemet subset of the set {,,,
More information