Diffraction. S.M.Lea. Fall 1998
|
|
- Alexina Cross
- 6 years ago
- Views:
Transcription
1 Diffraction.M.Lea Fall 1998 Diffraction occurs wen EM waves approac an aperture (or an obstacle) wit dimension d > λ. We sall refer to te region containing te source of te waves as region I and te region containing te diffracted fields as region II. Te total volume comprises bot regions I and II. egion II is bounded by a surface = Te surface 2 is at infinity, wile 1 is a containing apertures, or else a set of obstacles. 1 Kircoff s metod We may write all te fields in te form ψ / e iωt and ten ψ satisfies te Helmoltz equation r 2 + k 2 ψ = 0 1
2 were k = ω/c and ψ is a component of E or B, or anoter variable describing te field, suc as a component of A. We can solve te Helmoltz equation wit te outgoing wave Green s function. ince tere are no sources in region II, te volume integral is zero. ψ ( x) = ψ ( x 0 )^n r 0 G G^n r 0 i ψ ( x 0 ) (1) were Tus G = 1 e ik ψ ( x) = 1 e 1+2 ik µ ψ ( x 0 ) ik 1+ i ^n ^ + ^n r k 0 ψ ( x 0 ) (2) Te integral reduces to an integral over 1, since ψ» 1/ at 1. We can evaluate te integral using te Kircoff approximation: 1. ψ and ψ n vanis on 1 except in te openings, and 2. in te openings, ψ and ψ are equal to te values in te incident field. n trictly speaking, tis is not a matematically sound procedure, since if bot ψ and ψ n vanis on any finite surface, ten te solution ψ must be zero. Also te solution we obtain does not yield te assumed values of ψ on 1. Yet te solution does a pretty good job of reproducing experimental results. We can partially fix tings up by using a better Green s function. If ψ is known (or approximated) on 1, we sould use a Diriclet Green s function, for wic G D ( x, x 0 ) = 0 for x 0 on 1. Ten te solution is: ψ ( x) = 1 ψ ( x 0 ) ^n G D (3) imilarly, if ψ n is known or approximated on 1, we sould use te Neumann Green s function, G N n = 0 on 1. Ten ψ ( x) = G^n ψ ( x 0 ) (4) 1 If te 1 is plane we can easily find te appropriate Green s functions using te metod of images: Ã! G D,N = 1 e ik eik 0 0 were = x x 0 and 0 = x x 00 and x 00 describes te point tat is te mirror image of x 0 in 1, and we let bot points approac te surface 1. Ten and G N n 0 = G N z 0 = 1! 2z0 e ik G D! 0 as z 0! 0 (z z 0 ) µ 1 ik as z 0! (z + µ z0 ) ik 1 e ik
3 and tus equation (3) becomes: ψ ( x) = ψ ( x 0 ) 2z e ik µ 1 1 ik = 1 ψ ( x 0 ) z e ik µ 1 1 ik (5) wit z/ = cos θ, wile equation (4) becomes: ψ ( x) = 1 e 1 ik z 0ψ ( x0 ) (6) Now to estimate te differences between tese expressions, we coose a point source in region I wit coordinate so tat te wave from te source travels in direction ^ to reac te center of a small aperture at te origin. Ten we can write e i k ψ inc = ψ 0 = ψ e ik(r0+^r0 x0 ) e ikr0 e ik^r0 x 0 0 = ψ 0 and ψ inc n = ψ e ikr0 e ik^r0 x0 0 ( ik~ ^n) were ^n = cos (π θ 0 ) = cosθ 0. Ten te 3 expressions for ψ may be written: outgoing wave Greens function: ψ ( x) = 1 e 1+2 ik µ ψ ( x 0 )ik 1 + i ^n k ^ + z 0 ψ ( x0 ) ' ψ 0 e 1+2 ikr e ikr0 e ik^r0 x0 r ik^n ^ + ( ik ^n) ' ik ψ 0 e 1+2 ikr e ikr0 [cosθ 0 + cos θ] r Diriclet Green s function: and Neumann Green s function: ψ ( x) = ik ψ 0 ψ ( x) = ik ψ 0 e 1 ikr e ik r e 1 ikr e ik r cos θ cos θ 0 i If te aperture is small compared wit te distances r and, ten te factors cosθ and cos θ 0 are essentially constant trougout te range of integration. Ten all 3 expressions give te same diffraction pattern: te overall intensity smplitude differs by small factors of order 1. Tus we can use wicever of te expressions is most convenient. 3
4 2 Fraunoffer and Fresnel diffraction Tee exponential tat appears in equation (2) may be approximated: k = k j x x 0 j = k p r x x r 0 = kr 1 + r02 x0 2^r r2 r = kr k^r x 0 k r 2 02 (^r x 0 ) + 2r Tus µ e ik = e ikr e ik^r x0 exp i k r 2 02 (^r x 0 ) 2r Te te exponent in te second term is of order: k^r x 0 = d λ were d is te dimension of te aperture, and its ratio to te first term is of order d/r.. Te exponent in te tird term is of order d 2 λr In Fraunauffer diffractionwe ignore te tird term. Tis means tat we need d 2 λr 1 and tird term second term = d r 1 o we need te observation point to be a long way from te aperture. If d/λ > 1, te tird term may become important. Tis is te regime of Fresnel diffraction. Fresnel diffraction occurs for d d λ & r À d Typically we find tat Fresnel diffraction patterns are more complex tan Fraunoffer patterns. Most of te problems in te text refer to te Fraunoffer regime. 3 Vectorial diffraction teory A more careful analysis requires tat we consider te vector nature of te fields. Tus we replace equation (2) wit te vector relation: E ( x) = E ^n 0 G G ^n 0 i E First we rewrite te integrand as: 2 E ^n 0 G ^n 0 r 0 GE 4
5 And ten we convert te surface integral of te second term to a volume integral. ecall tat te normal ^n 0 is inward: ^n 0 G~E = r 2 G~E dv 0 s V i = r r G E r r G E dv V i = ^n 0 r G E ^n 0 r G E were r G E = G r E + E rg = 0 + E rg since tere is no carge density on,and r G E = rg E + G r E = rg E+G ik B Tus we ave: E( x) = = = = 2 E ^n 0 i G ^n 0 E G + ^n 0 r 0 G E+G ik B 2E ^n 0 r 0 G ^n 0 0 E r G + r 0 G ^n 0 E E ^n 0 r 0 G + Gik^n 0 B i E ^n 0 i G ^n 0 E G + G ^n 0 E + ik^n 0 BG ^n 0 E r 0 G + ^n 0 E 0 r G + ik^n 0 BG i Now we can take G = e ik / and proceed as wit te scalar teory. We can make te same Kircoff approximations, and te same inconsistencies remain. For very large, we ave G = eikr0 e ik^ ~x ' eikr0 Now if we coose 2 to be a large emispere of radius! 1, ten^ = ^n 0, and and te integral over 2 becomes: ik 2 = ik since 2 for outgoing waves, and tus: ^n 0 E G = ik^n 0 G ^n 0 G + ^n 0 E ^n 0 G ^n 0 BG i E ^n 0 Bi G = 0 i k E = ik B ^ E = B= ^n 0 E 5
6 and so ^n 0 B = ^n 0 ^n 0 E = E on 2. Tus te integral reduces to an integral over 1. Now if our observation point P is very distant from 0 te sources on 1,ten as in te scalar teory we find G = eik ' eikr r exp i~k ~x and we expect te diffracted fields to ave a similar form E d = eikr F k, k0 r Ten te amplitude of te diffracted field may be written: F k, k0 = i ^n 0 E k + = i ^n 0 E k +k^n 0 B i i k ^n 0 E k ^n 0 E + k^n 0 B were te fields in te integral are also te diffracted fields. We know tat F must be perpendicular to k. In fact we can write te last two terms in te integrand, like te first, in te form k v for some vector v. First note tat k and from Ampere s law: giving: k ^n 0 B k ^n 0 B so te terms in te integrand are: i = k k ^n 0 B i ^n k 2 0 B k ^n 0 B = ^n 0 k B = ^n 0 ke k^n 0 B k i i = ^k k ^n 0 B ^k k ^n 0 B i = k ^n 0 E ^k k ^n 0 B ^n 0 E ~ = 1 k k k ^n 0 B i and tus F k, k0 = i k i k k ^n 0 B ^n 0 E 1 Te integrand also depends on k 0 if we use te incident fields in te apertures. 4 pecial case of plane conducting Let te conducting be te z = 0 plane, wit te incident fields propagating toward te from negative z. We can decompose te total electric field into tree parts: te incident field E 0, te field due to reflection by a solid conducting seet, E r, and te diffracted field E d. Ten E = E 0 + E r + E d = E 0 + E 1 6
7 Ten in egion II (z > 0) E 0 + E r = 0. Te fields E r + E d = E 1 are produced by currents in te conducting seet: j = j x^x+j y^y Te resulting vector potential is given by: r 2 + k 2 A = c j and consequently A z = 0. Also, since te operator on te LH is even in z, and te rigt and side is zero except for z = 0, ten A is even in z. Ten is odd in z. imilarly, is even in z. Tus we ave B y = r A E x = A x t y = A x z E x, E y, and B z are even in z and E z, B x, and B y are odd in z Te fields tat are odd in z need not be zero at z = 0 were te conducting exists, because of te surface carge density and currents in te. But in te apertures, tese odd fields must be zero. Tus in te apertures, B tangential and E normal are te incident fields alone. Now te matematical problem tat determines A is a Neumann problem, because A z = B tangential is determined (troug Ampere s law) by te currents in te. Tus we must use te Neumann Green s function: A= 1 e ik A z 0da0 A x = 1 e ik A x z 0 da0 = 1 e ik B y = 1 e ik A similar expression olds for A y, and tus B 1 = r A = r 1 ^z B 1 x da0 e ik ^z B 1 (7) ince ^z B 1 = 0 in te aperture, te integral is over te conducting material only. We can evaluate te integral on eiter side of te. For z < 0, te normal becomes ^z instead of ^z, tus confirming our expectations about te oddness of B tan. Now te source free Maxwell equations are invariant under te transformation B! E, 7
8 E! B, so we can write a similar expression for E 1 : E 1 = r 1 e ik ^z E 1 Now if we want te electric field for z < 0, we must cange te sign in front of te integral as well as te sign in front of ^z in order to obtain te correct symmetry. ince E 1z is zero in te aperture, we cannot simplify tis integral as it stands. However: E 1 = r 1 = r 1 e ik e ik ^z E1 + E 0 E 0 ^z E r 1 e ik ^z E 0 were E ~ is te total electric field, wose tangential component vanises on te conducting surface. Tus te first integral is an integral over te oles alone. Te second term r 1 e ik ^z E 0 = E 0 for z > 0 Tus E = E 1 + E 0 = E d = r 1 e ik ^z E (8) oles were te field in te integrand is te total electric field in te aperture. In practical applications we can approximate by using te incident fields as we ave indicated previously. Equation (8) is te vector myte Kircoff relation. 5 Babinet s principle Babinet s principle relates te diffraction patterns due to 2 complementary s and c. Te complementary c as apertures were is solid and vice versa. Tus te sum + c is a solid surface. 5.1 calar principle For any complete closed surface we can write a matematical identityfor any scalar function ψ : equation (1) or, using te outgoing wave Green s function, equation (2) Tus: ψ ( x) = 1 e +c+2 ik = 1 +c e ik µ ψ ( x 0 ) ik 1+ i k ψ ( x 0 )ik µ 1+ i k ^n ^ + ^n ψ ( x 0 ) ^n ^ + ^n r 0 ψ ( x 0 ) were as usual, te integral over 2 vanises. Tis result is exact. Now, using te Kircoff approximation, te integral over c (te apertures in ) gives te diffracted field ψ a in region II due to te. imilarly te integral over gives te diffracted field ψ b due 8
9 to te complementary c. Tus ψ = ψ a + ψ b Now in directions were ψ = 0,we ave ψ a = ψ b, and tus te diffraction pattern, wic depends on ψ 2, is te same. Tus for example te diffraction pattern due to a ole of radius a and due to a disk of radius a are te same except straigt aead, were te incident field is non zero. 5.2 Vector principle A more careful statement can be made for a plane conducting. First we define te two situations tat are complementary: 1. Te incident fields are E 0, B 0 and te is Te incident fields are E c = B 0, B c = E 0, and te complementary c. Ten we can use equation (8) to find te diffracted field in problem 1: E 1 = r 1 e oles ik ^z E 1 in 0 For problem 2, we use equation (7): B 2 = r 1 conducting part of c e ik ^z B 2 Tese two integrals are taken over te same surface. ince tese two expressions are matematically identical, ten E 1 = B 2 in region II. However te expression for B 2 gives te field due to te currents in te seet. Te total magnetic field in region 2 is B 2,tot = B c + B 2 = E 0 + E 1. Te intensity of te radiation is given by E pattern is te same for bot s werever E 0 is zero. A similar analysis sows tat E 2 = r 1 2 oles in c e ik or equivalently B 2. Tus te diffraction ^z E 2 = B 1 were ere again B 1 is te field due to te seet alone, and te minus sign appears so tat bot waves are outgoing. Tus B 1,tot = B 0 + B 1 = B 0 E 2 = ^k 0 E 0 E 2 wicleads to te same prediction wit regard to te diffraction pattern. Babinet s principle is used in te design of microwave antennae. A slot in a conducting plate radiates te same pattern as a metal strip. Tus slots in wave guides can serve as 9
10 effective microwave radiatiors. 10
Exam 1 Review Solutions
Exam Review Solutions Please also review te old quizzes, and be sure tat you understand te omework problems. General notes: () Always give an algebraic reason for your answer (graps are not sufficient),
More informationFunction Composition and Chain Rules
Function Composition and s James K. Peterson Department of Biological Sciences and Department of Matematical Sciences Clemson University Marc 8, 2017 Outline 1 Function Composition and Continuity 2 Function
More informationHigher Derivatives. Differentiable Functions
Calculus 1 Lia Vas Higer Derivatives. Differentiable Functions Te second derivative. Te derivative itself can be considered as a function. Te instantaneous rate of cange of tis function is te second derivative.
More informationNumerical Differentiation
Numerical Differentiation Finite Difference Formulas for te first derivative (Using Taylor Expansion tecnique) (section 8.3.) Suppose tat f() = g() is a function of te variable, and tat as 0 te function
More informationLecture XVII. Abstract We introduce the concept of directional derivative of a scalar function and discuss its relation with the gradient operator.
Lecture XVII Abstract We introduce te concept of directional derivative of a scalar function and discuss its relation wit te gradient operator. Directional derivative and gradient Te directional derivative
More informationCombining functions: algebraic methods
Combining functions: algebraic metods Functions can be added, subtracted, multiplied, divided, and raised to a power, just like numbers or algebra expressions. If f(x) = x 2 and g(x) = x + 2, clearly f(x)
More informationSymmetry Labeling of Molecular Energies
Capter 7. Symmetry Labeling of Molecular Energies Notes: Most of te material presented in tis capter is taken from Bunker and Jensen 1998, Cap. 6, and Bunker and Jensen 2005, Cap. 7. 7.1 Hamiltonian Symmetry
More informationHOMEWORK HELP 2 FOR MATH 151
HOMEWORK HELP 2 FOR MATH 151 Here we go; te second round of omework elp. If tere are oters you would like to see, let me know! 2.4, 43 and 44 At wat points are te functions f(x) and g(x) = xf(x)continuous,
More information1 Calculus. 1.1 Gradients and the Derivative. Q f(x+h) f(x)
Calculus. Gradients and te Derivative Q f(x+) δy P T δx R f(x) 0 x x+ Let P (x, f(x)) and Q(x+, f(x+)) denote two points on te curve of te function y = f(x) and let R denote te point of intersection of
More information1 The concept of limits (p.217 p.229, p.242 p.249, p.255 p.256) 1.1 Limits Consider the function determined by the formula 3. x since at this point
MA00 Capter 6 Calculus and Basic Linear Algebra I Limits, Continuity and Differentiability Te concept of its (p.7 p.9, p.4 p.49, p.55 p.56). Limits Consider te function determined by te formula f Note
More informationClick here to see an animation of the derivative
Differentiation Massoud Malek Derivative Te concept of derivative is at te core of Calculus; It is a very powerful tool for understanding te beavior of matematical functions. It allows us to optimize functions,
More informationSIMG Solution Set #5
SIMG-303-0033 Solution Set #5. Describe completely te state of polarization of eac of te following waves: (a) E [z,t] =ˆxE 0 cos [k 0 z ω 0 t] ŷe 0 cos [k 0 z ω 0 t] Bot components are traveling down te
More informationNotes on wavefunctions II: momentum wavefunctions
Notes on wavefunctions II: momentum wavefunctions and uncertainty Te state of a particle at any time is described by a wavefunction ψ(x). Tese wavefunction must cange wit time, since we know tat particles
More information3.1 Extreme Values of a Function
.1 Etreme Values of a Function Section.1 Notes Page 1 One application of te derivative is finding minimum and maimum values off a grap. In precalculus we were only able to do tis wit quadratics by find
More informationMath 31A Discussion Notes Week 4 October 20 and October 22, 2015
Mat 3A Discussion Notes Week 4 October 20 and October 22, 205 To prepare for te first midterm, we ll spend tis week working eamples resembling te various problems you ve seen so far tis term. In tese notes
More informationPractice Problem Solutions: Exam 1
Practice Problem Solutions: Exam 1 1. (a) Algebraic Solution: Te largest term in te numerator is 3x 2, wile te largest term in te denominator is 5x 2 3x 2 + 5. Tus lim x 5x 2 2x 3x 2 x 5x 2 = 3 5 Numerical
More informationConsider a function f we ll specify which assumptions we need to make about it in a minute. Let us reformulate the integral. 1 f(x) dx.
Capter 2 Integrals as sums and derivatives as differences We now switc to te simplest metods for integrating or differentiating a function from its function samples. A careful study of Taylor expansions
More informationlecture 26: Richardson extrapolation
43 lecture 26: Ricardson extrapolation 35 Ricardson extrapolation, Romberg integration Trougout numerical analysis, one encounters procedures tat apply some simple approximation (eg, linear interpolation)
More information2.8 The Derivative as a Function
.8 Te Derivative as a Function Typically, we can find te derivative of a function f at many points of its domain: Definition. Suppose tat f is a function wic is differentiable at every point of an open
More informationChapter 2. Limits and Continuity 16( ) 16( 9) = = 001. Section 2.1 Rates of Change and Limits (pp ) Quick Review 2.1
Capter Limits and Continuity Section. Rates of Cange and Limits (pp. 969) Quick Review..... f ( ) ( ) ( ) 0 ( ) f ( ) f ( ) sin π sin π 0 f ( ). < < < 6. < c c < < c 7. < < < < < 8. 9. 0. c < d d < c
More informationCalculus I Homework: The Derivative as a Function Page 1
Calculus I Homework: Te Derivative as a Function Page 1 Example (2.9.16) Make a careful sketc of te grap of f(x) = sin x and below it sketc te grap of f (x). Try to guess te formula of f (x) from its grap.
More information. If lim. x 2 x 1. f(x+h) f(x)
Review of Differential Calculus Wen te value of one variable y is uniquely determined by te value of anoter variable x, ten te relationsip between x and y is described by a function f tat assigns a value
More informationIntroduction to Derivatives
Introduction to Derivatives 5-Minute Review: Instantaneous Rates and Tangent Slope Recall te analogy tat we developed earlier First we saw tat te secant slope of te line troug te two points (a, f (a))
More informationSome Review Problems for First Midterm Mathematics 1300, Calculus 1
Some Review Problems for First Midterm Matematics 00, Calculus. Consider te trigonometric function f(t) wose grap is sown below. Write down a possible formula for f(t). Tis function appears to be an odd,
More information4. The slope of the line 2x 7y = 8 is (a) 2/7 (b) 7/2 (c) 2 (d) 2/7 (e) None of these.
Mat 11. Test Form N Fall 016 Name. Instructions. Te first eleven problems are wort points eac. Te last six problems are wort 5 points eac. For te last six problems, you must use relevant metods of algebra
More informationTangent Lines-1. Tangent Lines
Tangent Lines- Tangent Lines In geometry, te tangent line to a circle wit centre O at a point A on te circle is defined to be te perpendicular line at A to te line OA. Te tangent lines ave te special property
More informationChapter 2 Limits and Continuity
4 Section. Capter Limits and Continuity Section. Rates of Cange and Limits (pp. 6) Quick Review.. f () ( ) () 4 0. f () 4( ) 4. f () sin sin 0 4. f (). 4 4 4 6. c c c 7. 8. c d d c d d c d c 9. 8 ( )(
More informationREVIEW LAB ANSWER KEY
REVIEW LAB ANSWER KEY. Witout using SN, find te derivative of eac of te following (you do not need to simplify your answers): a. f x 3x 3 5x x 6 f x 3 3x 5 x 0 b. g x 4 x x x notice te trick ere! x x g
More informationSection 15.6 Directional Derivatives and the Gradient Vector
Section 15.6 Directional Derivatives and te Gradient Vector Finding rates of cange in different directions Recall tat wen we first started considering derivatives of functions of more tan one variable,
More informationDefinition of the Derivative
Te Limit Definition of te Derivative Tis Handout will: Define te limit grapically and algebraically Discuss, in detail, specific features of te definition of te derivative Provide a general strategy of
More informationLines, Conics, Tangents, Limits and the Derivative
Lines, Conics, Tangents, Limits and te Derivative Te Straigt Line An two points on te (,) plane wen joined form a line segment. If te line segment is etended beond te two points ten it is called a straigt
More informationLecture notes 5: Diffraction
Lecture notes 5: Diffraction Let us now consider how light reacts to being confined to a given aperture. The resolution of an aperture is restricted due to the wave nature of light: as light passes through
More informationSFU UBC UNBC Uvic Calculus Challenge Examination June 5, 2008, 12:00 15:00
SFU UBC UNBC Uvic Calculus Callenge Eamination June 5, 008, :00 5:00 Host: SIMON FRASER UNIVERSITY First Name: Last Name: Scool: Student signature INSTRUCTIONS Sow all your work Full marks are given only
More informationNumerical Analysis MTH603. dy dt = = (0) , y n+1. We obtain yn. Therefore. and. Copyright Virtual University of Pakistan 1
Numerical Analysis MTH60 PREDICTOR CORRECTOR METHOD Te metods presented so far are called single-step metods, were we ave seen tat te computation of y at t n+ tat is y n+ requires te knowledge of y n only.
More informationMAT244 - Ordinary Di erential Equations - Summer 2016 Assignment 2 Due: July 20, 2016
MAT244 - Ordinary Di erential Equations - Summer 206 Assignment 2 Due: July 20, 206 Full Name: Student #: Last First Indicate wic Tutorial Section you attend by filling in te appropriate circle: Tut 0
More informationMath 34A Practice Final Solutions Fall 2007
Mat 34A Practice Final Solutions Fall 007 Problem Find te derivatives of te following functions:. f(x) = 3x + e 3x. f(x) = x + x 3. f(x) = (x + a) 4. Is te function 3t 4t t 3 increasing or decreasing wen
More information1. Consider the trigonometric function f(t) whose graph is shown below. Write down a possible formula for f(t).
. Consider te trigonometric function f(t) wose grap is sown below. Write down a possible formula for f(t). Tis function appears to be an odd, periodic function tat as been sifted upwards, so we will use
More informationReflection Symmetries of q-bernoulli Polynomials
Journal of Nonlinear Matematical Pysics Volume 1, Supplement 1 005, 41 4 Birtday Issue Reflection Symmetries of q-bernoulli Polynomials Boris A KUPERSHMIDT Te University of Tennessee Space Institute Tullaoma,
More informationContinuity and Differentiability Worksheet
Continuity and Differentiability Workseet (Be sure tat you can also do te grapical eercises from te tet- Tese were not included below! Typical problems are like problems -3, p. 6; -3, p. 7; 33-34, p. 7;
More informationPolynomials 3: Powers of x 0 + h
near small binomial Capter 17 Polynomials 3: Powers of + Wile it is easy to compute wit powers of a counting-numerator, it is a lot more difficult to compute wit powers of a decimal-numerator. EXAMPLE
More informationAverage Rate of Change
Te Derivative Tis can be tougt of as an attempt to draw a parallel (pysically and metaporically) between a line and a curve, applying te concept of slope to someting tat isn't actually straigt. Te slope
More informationPreface. Here are a couple of warnings to my students who may be here to get a copy of what happened on a day that you missed.
Preface Here are my online notes for my course tat I teac ere at Lamar University. Despite te fact tat tese are my class notes, tey sould be accessible to anyone wanting to learn or needing a refreser
More informationA = h w (1) Error Analysis Physics 141
Introduction In all brances of pysical science and engineering one deals constantly wit numbers wic results more or less directly from experimental observations. Experimental observations always ave inaccuracies.
More informationCubic Functions: Local Analysis
Cubic function cubing coefficient Capter 13 Cubic Functions: Local Analysis Input-Output Pairs, 378 Normalized Input-Output Rule, 380 Local I-O Rule Near, 382 Local Grap Near, 384 Types of Local Graps
More informationRecall from our discussion of continuity in lecture a function is continuous at a point x = a if and only if
Computational Aspects of its. Keeping te simple simple. Recall by elementary functions we mean :Polynomials (including linear and quadratic equations) Eponentials Logaritms Trig Functions Rational Functions
More informationINTRODUCTION AND MATHEMATICAL CONCEPTS
Capter 1 INTRODUCTION ND MTHEMTICL CONCEPTS PREVIEW Tis capter introduces you to te basic matematical tools for doing pysics. You will study units and converting between units, te trigonometric relationsips
More informationFunction Composition and Chain Rules
Function Composition an Cain Rules James K. Peterson Department of Biological Sciences an Department of Matematical Sciences Clemson University November 2, 2018 Outline Function Composition an Continuity
More informationMath 312 Lecture Notes Modeling
Mat 3 Lecture Notes Modeling Warren Weckesser Department of Matematics Colgate University 5 7 January 006 Classifying Matematical Models An Example We consider te following scenario. During a storm, a
More information2.11 That s So Derivative
2.11 Tat s So Derivative Introduction to Differential Calculus Just as one defines instantaneous velocity in terms of average velocity, we now define te instantaneous rate of cange of a function at a point
More informationQuantum Theory of the Atomic Nucleus
G. Gamow, ZP, 51, 204 1928 Quantum Teory of te tomic Nucleus G. Gamow (Received 1928) It as often been suggested tat non Coulomb attractive forces play a very important role inside atomic nuclei. We can
More informationFinding and Using Derivative The shortcuts
Calculus 1 Lia Vas Finding and Using Derivative Te sortcuts We ave seen tat te formula f f(x+) f(x) (x) = lim 0 is manageable for relatively simple functions like a linear or quadratic. For more complex
More informationLesson 6: The Derivative
Lesson 6: Te Derivative Def. A difference quotient for a function as te form f(x + ) f(x) (x + ) x f(x + x) f(x) (x + x) x f(a + ) f(a) (a + ) a Notice tat a difference quotient always as te form of cange
More information(a) What is the origin of the weak localization effect?
1 Problem 1: Weak Localization a) Wat is te origin of te weak localization effect? Weak localization arises from constructive quantum interference in a disordered solid. Tis gives rise to a quantum mecanical
More informationDerivation Of The Schwarzschild Radius Without General Relativity
Derivation Of Te Scwarzscild Radius Witout General Relativity In tis paper I present an alternative metod of deriving te Scwarzscild radius of a black ole. Te metod uses tree of te Planck units formulas:
More information1 Limits and Continuity
1 Limits and Continuity 1.0 Tangent Lines, Velocities, Growt In tion 0.2, we estimated te slope of a line tangent to te grap of a function at a point. At te end of tion 0.3, we constructed a new function
More informationWeek #15 - Word Problems & Differential Equations Section 8.2
Week #1 - Word Problems & Differential Equations Section 8. From Calculus, Single Variable by Huges-Hallett, Gleason, McCallum et. al. Copyrigt 00 by Jon Wiley & Sons, Inc. Tis material is used by permission
More information232 Calculus and Structures
3 Calculus and Structures CHAPTER 17 JUSTIFICATION OF THE AREA AND SLOPE METHODS FOR EVALUATING BEAMS Calculus and Structures 33 Copyrigt Capter 17 JUSTIFICATION OF THE AREA AND SLOPE METHODS 17.1 THE
More informationMVT and Rolle s Theorem
AP Calculus CHAPTER 4 WORKSHEET APPLICATIONS OF DIFFERENTIATION MVT and Rolle s Teorem Name Seat # Date UNLESS INDICATED, DO NOT USE YOUR CALCULATOR FOR ANY OF THESE QUESTIONS In problems 1 and, state
More informationThe Derivative The rate of change
Calculus Lia Vas Te Derivative Te rate of cange Knowing and understanding te concept of derivative will enable you to answer te following questions. Let us consider a quantity wose size is described by
More informationf a h f a h h lim lim
Te Derivative Te derivative of a function f at a (denoted f a) is f a if tis it exists. An alternative way of defining f a is f a x a fa fa fx fa x a Note tat te tangent line to te grap of f at te point
More informationINTRODUCTION AND MATHEMATICAL CONCEPTS
INTODUCTION ND MTHEMTICL CONCEPTS PEVIEW Tis capter introduces you to te basic matematical tools for doing pysics. You will study units and converting between units, te trigonometric relationsips of sine,
More informationThe Krewe of Caesar Problem. David Gurney. Southeastern Louisiana University. SLU 10541, 500 Western Avenue. Hammond, LA
Te Krewe of Caesar Problem David Gurney Souteastern Louisiana University SLU 10541, 500 Western Avenue Hammond, LA 7040 June 19, 00 Krewe of Caesar 1 ABSTRACT Tis paper provides an alternative to te usual
More informationLecture 21. Numerical differentiation. f ( x+h) f ( x) h h
Lecture Numerical differentiation Introduction We can analytically calculate te derivative of any elementary function, so tere migt seem to be no motivation for calculating derivatives numerically. However
More information4.2 - Richardson Extrapolation
. - Ricardson Extrapolation. Small-O Notation: Recall tat te big-o notation used to define te rate of convergence in Section.: Definition Let x n n converge to a number x. Suppose tat n n is a sequence
More informationUniversity Mathematics 2
University Matematics 2 1 Differentiability In tis section, we discuss te differentiability of functions. Definition 1.1 Differentiable function). Let f) be a function. We say tat f is differentiable at
More informationTHE IDEA OF DIFFERENTIABILITY FOR FUNCTIONS OF SEVERAL VARIABLES Math 225
THE IDEA OF DIFFERENTIABILITY FOR FUNCTIONS OF SEVERAL VARIABLES Mat 225 As we ave seen, te definition of derivative for a Mat 111 function g : R R and for acurveγ : R E n are te same, except for interpretation:
More informationch (for some fixed positive number c) reaching c
GSTF Journal of Matematics Statistics and Operations Researc (JMSOR) Vol. No. September 05 DOI 0.60/s4086-05-000-z Nonlinear Piecewise-defined Difference Equations wit Reciprocal and Cubic Terms Ramadan
More informationThe derivative function
Roberto s Notes on Differential Calculus Capter : Definition of derivative Section Te derivative function Wat you need to know already: f is at a point on its grap and ow to compute it. Wat te derivative
More information= 0 and states ''hence there is a stationary point'' All aspects of the proof dx must be correct (c)
Paper 1: Pure Matematics 1 Mark Sceme 1(a) (i) (ii) d d y 3 1x 4x x M1 A1 d y dx 1.1b 1.1b 36x 48x A1ft 1.1b Substitutes x = into teir dx (3) 3 1 4 Sows d y 0 and states ''ence tere is a stationary point''
More informationNUMERICAL DIFFERENTIATION. James T. Smith San Francisco State University. In calculus classes, you compute derivatives algebraically: for example,
NUMERICAL DIFFERENTIATION James T Smit San Francisco State University In calculus classes, you compute derivatives algebraically: for example, f( x) = x + x f ( x) = x x Tis tecnique requires your knowing
More informationMATH 155A FALL 13 PRACTICE MIDTERM 1 SOLUTIONS. needs to be non-zero, thus x 1. Also 1 +
MATH 55A FALL 3 PRACTICE MIDTERM SOLUTIONS Question Find te domain of te following functions (a) f(x) = x3 5 x +x 6 (b) g(x) = x+ + x+ (c) f(x) = 5 x + x 0 (a) We need x + x 6 = (x + 3)(x ) 0 Hence Dom(f)
More informationDifferentiation in higher dimensions
Capter 2 Differentiation in iger dimensions 2.1 Te Total Derivative Recall tat if f : R R is a 1-variable function, and a R, we say tat f is differentiable at x = a if and only if te ratio f(a+) f(a) tends
More informationDerivatives of Exponentials
mat 0 more on derivatives: day 0 Derivatives of Eponentials Recall tat DEFINITION... An eponential function as te form f () =a, were te base is a real number a > 0. Te domain of an eponential function
More informationContinuity. Example 1
Continuity MATH 1003 Calculus and Linear Algebra (Lecture 13.5) Maoseng Xiong Department of Matematics, HKUST A function f : (a, b) R is continuous at a point c (a, b) if 1. x c f (x) exists, 2. f (c)
More informationMaterial for Difference Quotient
Material for Difference Quotient Prepared by Stepanie Quintal, graduate student and Marvin Stick, professor Dept. of Matematical Sciences, UMass Lowell Summer 05 Preface Te following difference quotient
More informationLast lecture (#4): J vortex. J tr
Last lecture (#4): We completed te discussion of te B-T pase diagram of type- and type- superconductors. n contrast to type-, te type- state as finite resistance unless vortices are pinned by defects.
More informationMANY scientific and engineering problems can be
A Domain Decomposition Metod using Elliptical Arc Artificial Boundary for Exterior Problems Yajun Cen, and Qikui Du Abstract In tis paper, a Diriclet-Neumann alternating metod using elliptical arc artificial
More informationPolynomial Interpolation
Capter 4 Polynomial Interpolation In tis capter, we consider te important problem of approximatinga function fx, wose values at a set of distinct points x, x, x,, x n are known, by a polynomial P x suc
More informationHow to Find the Derivative of a Function: Calculus 1
Introduction How to Find te Derivative of a Function: Calculus 1 Calculus is not an easy matematics course Te fact tat you ave enrolled in suc a difficult subject indicates tat you are interested in te
More informationSolution. Solution. f (x) = (cos x)2 cos(2x) 2 sin(2x) 2 cos x ( sin x) (cos x) 4. f (π/4) = ( 2/2) ( 2/2) ( 2/2) ( 2/2) 4.
December 09, 20 Calculus PracticeTest s Name: (4 points) Find te absolute extrema of f(x) = x 3 0 on te interval [0, 4] Te derivative of f(x) is f (x) = 3x 2, wic is zero only at x = 0 Tus we only need
More informationChapter 5 FINITE DIFFERENCE METHOD (FDM)
MEE7 Computer Modeling Tecniques in Engineering Capter 5 FINITE DIFFERENCE METHOD (FDM) 5. Introduction to FDM Te finite difference tecniques are based upon approximations wic permit replacing differential
More informationChapter 2 Limits and Continuity. Section 2.1 Rates of Change and Limits (pp ) Section Quick Review 2.1
Section. 6. (a) N(t) t (b) days: 6 guppies week: 7 guppies (c) Nt () t t t ln ln t ln ln ln t 8. 968 Tere will be guppies ater ln 8.968 days, or ater nearly 9 days. (d) Because it suggests te number o
More information(4.2) -Richardson Extrapolation
(.) -Ricardson Extrapolation. Small-O Notation: Recall tat te big-o notation used to define te rate of convergence in Section.: Suppose tat lim G 0 and lim F L. Te function F is said to converge to L as
More informationContinuity and Differentiability of the Trigonometric Functions
[Te basis for te following work will be te definition of te trigonometric functions as ratios of te sides of a triangle inscribed in a circle; in particular, te sine of an angle will be defined to be te
More informationTest 2 Review. 1. Find the determinant of the matrix below using (a) cofactor expansion and (b) row reduction. A = 3 2 =
Test Review Find te determinant of te matrix below using (a cofactor expansion and (b row reduction Answer: (a det + = (b Observe R R R R R R R R R Ten det B = (((det Hence det Use Cramer s rule to solve:
More informationMath Spring 2013 Solutions to Assignment # 3 Completion Date: Wednesday May 15, (1/z) 2 (1/z 1) 2 = lim
Mat 311 - Spring 013 Solutions to Assignment # 3 Completion Date: Wednesday May 15, 013 Question 1. [p 56, #10 (a)] 4z Use te teorem of Sec. 17 to sow tat z (z 1) = 4. We ave z 4z (z 1) = z 0 4 (1/z) (1/z
More informationlecture 35: Linear Multistep Mehods: Truncation Error
88 lecture 5: Linear Multistep Meods: Truncation Error 5.5 Linear ultistep etods One-step etods construct an approxiate solution x k+ x(t k+ ) using only one previous approxiation, x k. Tis approac enoys
More information5 Ordinary Differential Equations: Finite Difference Methods for Boundary Problems
5 Ordinary Differential Equations: Finite Difference Metods for Boundary Problems Read sections 10.1, 10.2, 10.4 Review questions 10.1 10.4, 10.8 10.9, 10.13 5.1 Introduction In te previous capters we
More informationMath 1241 Calculus Test 1
February 4, 2004 Name Te first nine problems count 6 points eac and te final seven count as marked. Tere are 120 points available on tis test. Multiple coice section. Circle te correct coice(s). You do
More information1.5 Functions and Their Rates of Change
66_cpp-75.qd /6/8 4:8 PM Page 56 56 CHAPTER Introduction to Functions and Graps.5 Functions and Teir Rates of Cange Identif were a function is increasing or decreasing Use interval notation Use and interpret
More informationLIMITATIONS OF EULER S METHOD FOR NUMERICAL INTEGRATION
LIMITATIONS OF EULER S METHOD FOR NUMERICAL INTEGRATION LAURA EVANS.. Introduction Not all differential equations can be explicitly solved for y. Tis can be problematic if we need to know te value of y
More informationThe Laplace equation, cylindrically or spherically symmetric case
Numerisce Metoden II, 7 4, und Übungen, 7 5 Course Notes, Summer Term 7 Some material and exercises Te Laplace equation, cylindrically or sperically symmetric case Electric and gravitational potential,
More informationDifferential Calculus (The basics) Prepared by Mr. C. Hull
Differential Calculus Te basics) A : Limits In tis work on limits, we will deal only wit functions i.e. tose relationsips in wic an input variable ) defines a unique output variable y). Wen we work wit
More informationSECTION 3.2: DERIVATIVE FUNCTIONS and DIFFERENTIABILITY
(Section 3.2: Derivative Functions and Differentiability) 3.2.1 SECTION 3.2: DERIVATIVE FUNCTIONS and DIFFERENTIABILITY LEARNING OBJECTIVES Know, understand, and apply te Limit Definition of te Derivative
More informationPolynomial Functions. Linear Functions. Precalculus: Linear and Quadratic Functions
Concepts: definition of polynomial functions, linear functions tree representations), transformation of y = x to get y = mx + b, quadratic functions axis of symmetry, vertex, x-intercepts), transformations
More information1 + t5 dt with respect to x. du = 2. dg du = f(u). du dx. dg dx = dg. du du. dg du. dx = 4x3. - page 1 -
Eercise. Find te derivative of g( 3 + t5 dt wit respect to. Solution: Te integrand is f(t + t 5. By FTC, f( + 5. Eercise. Find te derivative of e t2 dt wit respect to. Solution: Te integrand is f(t e t2.
More informationIntegral Calculus, dealing with areas and volumes, and approximate areas under and between curves.
Calculus can be divided into two ke areas: Differential Calculus dealing wit its, rates of cange, tangents and normals to curves, curve sketcing, and applications to maima and minima problems Integral
More informationCalculus I Practice Exam 1A
Calculus I Practice Exam A Calculus I Practice Exam A Tis practice exam empasizes conceptual connections and understanding to a greater degree tan te exams tat are usually administered in introductory
More informationParameter Fitted Scheme for Singularly Perturbed Delay Differential Equations
International Journal of Applied Science and Engineering 2013. 11, 4: 361-373 Parameter Fitted Sceme for Singularly Perturbed Delay Differential Equations Awoke Andargiea* and Y. N. Reddyb a b Department
More informationTime (hours) Morphine sulfate (mg)
Mat Xa Fall 2002 Review Notes Limits and Definition of Derivative Important Information: 1 According to te most recent information from te Registrar, te Xa final exam will be eld from 9:15 am to 12:15
More information