Complex Variables. For ECON 397 Macroeconometrics Steve Cunningham
|
|
- Sherman Johns
- 5 years ago
- Views:
Transcription
1 Comple Variables For ECON 397 Macroeconometrics Steve Cnningham
2 Open Disks or Neighborhoods Deinition. The set o all points which satis the ineqalit <ρ where ρ is a positive real nmber is called an open disk or neighborhood o. Remark. The nit disk i.e. the neighborhood < < 1 is o particlar signiicance. 1
3 Interior Point Deinition. A point S is called an interior point o S i and onl i there eists at least one neighborhood o which is completel contained in S. S
4 Open Set. Closed Set. Deinition. I ever point o a set S is an interior point o S we sa that S is an open set. Deinition. I BS S i.e. i S contains all o its bondar points then it is called a closed set. Sets ma be neither open nor closed. Open Closed Neither
5 Connected An open set S is said to be connected i ever pair o points 1 and in S can be joined b a polgonal line that lies entirel in S.. Roghl speaking this means that S consists o a single piece althogh it ma contain holes. S 1
6 Domain Region Closre Bonded Compact An open connected set is called a domain. A region is a domain together with some none or all o its bondar points. The closre o a set S denoted S is the set o S together with all o its bondar. Ths S S BS. A set o points S is bonded i there eists a positive real nmber R sch that < <R or ever S. A region which is both closed and bonded is said to be compact.
7 Review: Real Fnctions o Real Variables Deinition. Let Γ R.. A nction is a rle which assigns to each element a Γ one and onl one element b Ω Ω R.. We write : Γ Ω or in the speciic case b a and call b the image o a nder. We call Γ the domain o deinition o or simpl the domain o. We call Ω the range o. We call the set o all the images o Γ denoted Γ the image o the nction. We alternatel call a mapping rom Γ to Ω.
8 Real Fnction In eect a nction o a real variable maps rom one real line to another. Γ Ω
9 Comple Fnction Deinition. Comple nction o a comple variable. Let Φ C. A nction deined on Φ is a rle which assigns to each Φ a comple nmber w. The nmber w is called a vale o at and is denoted b i.e. w. The set Φ is called the domain o deinition o. Althogh the domain o deinition is oten a domain it need not be.
10 Remark Properties o a real-valed nction o a real variable are oten ehibited b the graph o the nction. Bt when w where and w are comple no sch convenient graphical representation is available becase each o the nmbers and w is located in a plane rather than a line. We can displa some inormation abot the nction b indicating pairs o corresponding points and w v. To do this it is sall easiest to draw the and w planes separatel.
11 Graph o Comple Fnction w v -plane domain o deinition w-plane range
12 Eample 1 Describe the range o the nction i deined on the domain is the nit disk 1. Soltion: We have and v. Ths as varies over the closed nit disk varies between and 1 and v is constant. Thereore w iv i is a line segment rom w i to w 1 i. domain v range
13 Eample Describe the nction 3 or in the semidisk given b Im. Soltion: We know that the points in the sector o the semidisk rom Arg to Arg π/3 when cbed cover the entire disk w 8 becase i π i e 3 8e The cbes o the remaining points o also all into this disk overlapping it in the pper halplane as depicted on the net screen. 3 π
14 w 3 v
15 Seqence Deinition. A seqence o comple nmbers denoted { n} k 1 is a nction sch that : N C i.e it is a nction whose domain is the set o natral nmbers between 1 and k and whose range is a sbset o the comple nmbers. I k then the seqence is called ininite and is denoted b { } n 1 or more oten n. The notation n is eqivalent. Having deined seqences and a means or measring the distance between points we proceed to deine the limit o a seqence.
16 Limit o a Seqence { } n 1 Deinition. A seqence o comple nmbers is said to have the limit or to converge to i or an ε > there eists an integer N sch that n < ε or all n > N.. We denote this b lim or n n n as n. Geometricall this amonts to the act that is the onl point o n sch that an neighborhood abot it no matter how small contains an ininite nmber o points n.
17 Limit o a Fnction We sa that the comple nmber w is the limit o the nction as approaches i stas close to w whenever is sicientl near. Formall we state: Deinition. Limit o a Comple Seqence. Let be a nction deined in some neighborhood o ecept with the possible eception o the point is the nmber w i or an real nmber ε > there eists a positive real nmber δ > sch that w < ε whenever < - < δ.
18 Limits: Interpretation We can interpret this to mean that i we observe points within a radis δ o we can ind a corresponding disk abot w sch that all the points in the disk abot are mapped into it. That is an neighborhood o w contains all the vales assmed b in some ll neighborhood o ecept possibl. v w δ w ε -plane w-plane
19 I as lim then Properties o Limits lim A and lim g B lim [ ± g ] A ± B lim g AB and lim /g A/B. i B.
20 Continit Deinition. Let be a nction sch that : C C. We call continos at i: F is deined in a neighborhood o The limit eists and lim A nction is said to be continos on a set S i it is continos at each point o S. I a nction is not continos at a point then it is said to be singlar at the point.
21 Note on Continit One can show that approaches a limit precisel when its real and imaginar parts approach limits and the continit o is eqivalent to the continit o its real and imaginar parts.
22 Properties o Continos Fnctions I and g are continos at then so are ± g and g. The qotient /g is also continos at provided that g. Also continos nctions map compact sets into compact sets.
23 Derivatives Dierentiation o comple-valed nctions is completel analogos to the real case: Deinition. Derivative. Let be a comple- valed nction deined in a neighborhood o. Then the derivative o at is given b lim Provided this limit eists. F is said to be dierentiable at.
24 Properties o Derivatives Properties o Derivatives [ ] [ ] [ ] Rle. Chain ' '. i ' ' ' ' ' '. constant or an ' ' ' ' ' g g g d d g g g g g g g g c c c g g ± ±
25 Analtic. Holomorphic. Deinition. A comple-valed nction is said to be analtic or eqivalentl holomorphic on an open set Ω i it has a derivative at ever point o Ω.. The term reglar is also sed. It is important that a nction ma be dierentiable at a single point onl. Analticit implies dierentiabilit within a neighborhood o the point. This permits epansion o the nction b a Talor series abot the point. I is analtic on the whole comple plane then it is said to be an entire nction.
26 Rational Fnction. Deinition. I and g are polnomials in then h /g g is called a rational nction. Remarks. All polnomial nctions o are entire. A rational nction o is analtic at ever point or which its denominator is nonero. I a nction can be redced to a polnomial nction which does not involve then it is analtic.
27 Eample 1 Eample i i i i let i Ths 1 is analtic at all points ecept 1.
28 Eample Eample i i i i let i Ths is nowhere analtic.
29 Testing or Analticit Determining the analticit o a nction b searching or in its epression that cannot be removed is at best awkward. Observe: It wold be diiclt and time consming to tr to redce this epression to a orm in which o cold be sre that the cold not be removed. The method cannot be sed when anthing bt algebraic nctions are sed.
30 Cach-Riemann Eqations 1 I the nction iv is dierentiable at i then the limit lim can be evalated b allowing to approach ero rom an direction in the comple plane.
31 Cach Cach-Riemann Eqations Riemann Eqations I it approaches along the -ais then and we obtain [ ] [ ] iv iv lim ' v v i lim lim ' Bt the limits o the bracketed epression are jst the irst partial derivatives o and v with respect to so that:. ' v i
32 Cach Cach-Riemann Eqations 3 Riemann Eqations 3 I it approaches along the -ais then and we obtain lim ' And thereore. ' v i v v i lim
33 Cach-Riemann Eqations 4 B deinition a limit eists onl i it is niqe. Thereore these two epressions mst be eqivalent. Eqating real and imaginar parts we have that v v and mst hold at i. These eqations are called the Cach-Riemann Eqations. Their importance is made clear in the ollowing theorem.
34 Cach-Riemann Eqations 5 Theorem. Let iv be deined in some open set Γ containing the point. I the irst partial derivatives o and v eist in Γ and are continos at and satis the Cach-Riemann eqations at then is dierentiable at. Conseqentl i the irst partial derivatives are continos and satis the Cach-Riemann eqations at all points o Γ then is analtic in Γ.
35 Eample 1 Eample v v i Hence the Cach-Riemann eqations are satisied onl on the line and thereore in no open disk. Ths b the theorem is nowhere analtic.
36 Eample Eample Prove that is entire and ind its derivative. e v e e v e ie e sin sin cos cos Soltion : sin cos The irst partials are continos and satis the Cach-Riemann eqations at ever point.. sin cos ' ie e v i
37 Harmonic Fnctions Deinition. Harmonic. A real-valed nction ϕ is said to be harmonic in a domain D i all o its second-order order partial derivatives are continos in D and i each point o D satisies ϕ ϕ Theorem. I iv is analtic in a domain D then each o the nctions and v is harmonic in D..
38 Harmonic Conjgate Given a nction harmonic in sa an open disk then we can ind another harmonic nction v so that iv is an analtic nction o in the disk. Sch a nction v is called a harmonic conjgate o.
39 Eample Eample Constrct an analtic nction whose real part is:. 3 3 Soltion: First veri that this nction is harmonic and 6 6 and 3 3 and
40 Eample Eample Contined Contined v and v Integrate 1 with respect to : v v v ξ
41 Eample Contined Now take the derivative o v with respect to : v 6 ξ'. According to eqation this eqals 6 1. Ths 6 and So ξ' ξ' ξ Eqivalentl and ξ ξ 1. C. And v 3 3 C.
42 Eample Contined The desired analtic nction iv is: i 3 C
43 Comple Eponential We wold like the comple eponential to be a natral etension o the real case with e entire. We begin b eamining e i e e i e i. e i cos i sin b Eler s and DeMoivre s relations. Deinition. Comple Eponential Fnction. I i then e e cos i sin. That is e e and arg e.
44 More on Eponentials Recall that a nction is one-to to-oneone on a set S i the eqation 1 where 1 S implies that 1. The comple eponential nction is not one-to to-one one on the whole plane. Theorem. A necessar and sicient condition that e 1 is that kπi where k is an integer. Also a necessar and sicient condition that 1 e e is that 1 kπi where k is an integer. Ths is a periodic nction. integer. Ths e is a periodic nction.
Integration of Basic Functions. Session 7 : 9/23 1
Integration o Basic Fnctions Session 7 : 9/3 Antiderivation Integration Deinition: Taking the antiderivative, or integral, o some nction F(), reslts in the nction () i ()F() Pt simply: i yo take the integral
More informationm = Average Rate of Change (Secant Slope) Example:
Average Rate o Change Secant Slope Deinition: The average change secant slope o a nction over a particlar interval [a, b] or [a, ]. Eample: What is the average rate o change o the nction over the interval
More informationSUBJECT:ENGINEERING MATHEMATICS-I SUBJECT CODE :SMT1101 UNIT III FUNCTIONS OF SEVERAL VARIABLES. Jacobians
SUBJECT:ENGINEERING MATHEMATICS-I SUBJECT CODE :SMT0 UNIT III FUNCTIONS OF SEVERAL VARIABLES Jacobians Changing ariable is something e come across er oten in Integration There are man reasons or changing
More informationBertrand s Theorem. October 8, µr 2 + V (r) 0 = dv eff dr. 3 + dv. f (r 0 )
Bertrand s Theorem October 8, Circlar orbits The eective potential, V e = has a minimm or maximm at r i and only i so we mst have = dv e L µr + V r = L µ 3 + dv = L µ 3 r r = L µ 3 At this radis, there
More informationDifferentiation of Exponential Functions
Differentiation of Eponential Fnctions The net derivative rles that o will learn involve eponential fnctions. An eponential fnction is a fnction in the form of a constant raised to a variable power. The
More information3. Several Random Variables
. Several Random Variables. To Random Variables. Conditional Probabilit--Revisited. Statistical Independence.4 Correlation beteen Random Variables Standardied (or ero mean normalied) random variables.5
More informationSection 7.4: Integration of Rational Functions by Partial Fractions
Section 7.4: Integration of Rational Fnctions by Partial Fractions This is abot as complicated as it gets. The Method of Partial Fractions Ecept for a few very special cases, crrently we have no way to
More informationMAT389 Fall 2016, Problem Set 6
MAT389 Fall 016, Problem Set 6 Trigonometric and hperbolic fnctions 6.1 Show that e iz = cos z + i sin z for eer comple nmber z. Hint: start from the right-hand side and work or wa towards the left-hand
More information1 Differential Equations for Solid Mechanics
1 Differential Eqations for Solid Mechanics Simple problems involving homogeneos stress states have been considered so far, wherein the stress is the same throghot the component nder std. An eception to
More information8.4 Inverse Functions
Section 8. Inverse Functions 803 8. Inverse Functions As we saw in the last section, in order to solve application problems involving eponential unctions, we will need to be able to solve eponential equations
More informationNotes 7 Analytic Continuation
ECE 6382 Fall 27 David R. Jackson Notes 7 Analtic Continuation Notes are from D. R. Wilton, Dept. of ECE Analtic Continuation of Functions We define analtic continuation as the process of continuing a
More informationMath 263 Assignment #3 Solutions. 1. A function z = f(x, y) is called harmonic if it satisfies Laplace s equation:
Math 263 Assignment #3 Soltions 1. A fnction z f(x, ) is called harmonic if it satisfies Laplace s eqation: 2 + 2 z 2 0 Determine whether or not the following are harmonic. (a) z x 2 + 2. We se the one-variable
More information3 2D Elastostatic Problems in Cartesian Coordinates
D lastostatic Problems in Cartesian Coordinates Two dimensional elastostatic problems are discssed in this Chapter, that is, static problems of either plane stress or plane strain. Cartesian coordinates
More informationSection 3.4: Concavity and the second Derivative Test. Find any points of inflection of the graph of a function.
Unit 3: Applications o Dierentiation Section 3.4: Concavity and the second Derivative Test Determine intervals on which a unction is concave upward or concave downward. Find any points o inlection o the
More informationAMS 212B Perturbation Methods Lecture 05 Copyright by Hongyun Wang, UCSC
AMS B Pertrbation Methods Lectre 5 Copright b Hongn Wang, UCSC Recap: we discssed bondar laer of ODE Oter epansion Inner epansion Matching: ) Prandtl s matching ) Matching b an intermediate variable (Skip
More informationNATIONAL UNIVERSITY OF SINGAPORE Department of Mathematics MA4247 Complex Analysis II Lecture Notes Part I
NATIONAL UNIVERSITY OF SINGAPORE Department of Mathematics MA4247 Comple Analsis II Lecture Notes Part I Chapter 1 Preliminar results/review of Comple Analsis I These are more detailed notes for the results
More information( x) f = where P and Q are polynomials.
9.8 Graphing Rational Functions Lets begin with a deinition. Deinition: Rational Function A rational unction is a unction o the orm ( ) ( ) ( ) P where P and Q are polynomials. Q An eample o a simple rational
More informationRobust Shortest Path Planning and Semicontractive Dynamic Programming
ebrary 4 (Revised Agst 4, ne 6 Report LIDS - 95 Robst Shortest Path Planning Semicontractive Dynamic Programg Dimitri P. Bertseas Abstract In this paper we consider shortest path in a directed graph where
More informationBLOOM S TAXONOMY. Following Bloom s Taxonomy to Assess Students
BLOOM S TAXONOMY Topic Following Bloom s Taonomy to Assess Stdents Smmary A handot for stdents to eplain Bloom s taonomy that is sed for item writing and test constrction to test stdents to see if they
More informationChapter 1: Differential Form of Basic Equations
MEG 74 Energ and Variational Methods in Mechanics I Brendan J. O Toole, Ph.D. Associate Professor of Mechanical Engineering Howard R. Hghes College of Engineering Universit of Nevada Las Vegas TBE B- (7)
More informationMEG 741 Energy and Variational Methods in Mechanics I
MEG 74 Energ and Variational Methods in Mechanics I Brendan J. O Toole, Ph.D. Associate Professor of Mechanical Engineering Howard R. Hghes College of Engineering Universit of Nevada Las Vegas TBE B- (7)
More informationRATIONAL FUNCTIONS. Finding Asymptotes..347 The Domain Finding Intercepts Graphing Rational Functions
RATIONAL FUNCTIONS Finding Asymptotes..347 The Domain....350 Finding Intercepts.....35 Graphing Rational Functions... 35 345 Objectives The ollowing is a list o objectives or this section o the workbook.
More informationLogarithmic, Exponential and Other Transcendental Functions
Logarithmic, Eponential an Other Transcenental Fnctions 5: The Natral Logarithmic Fnction: Differentiation The Definition First, yo mst know the real efinition of the natral logarithm: ln= t (where > 0)
More informationClassify by number of ports and examine the possible structures that result. Using only one-port elements, no more than two elements can be assembled.
Jnction elements in network models. Classify by nmber of ports and examine the possible strctres that reslt. Using only one-port elements, no more than two elements can be assembled. Combining two two-ports
More informationChapter 2 Difficulties associated with corners
Chapter Difficlties associated with corners This chapter is aimed at resolving the problems revealed in Chapter, which are cased b corners and/or discontinos bondar conditions. The first section introdces
More informationDynamics of the Atmosphere 11:670:324. Class Time: Tuesdays and Fridays 9:15-10:35
Dnamics o the Atmosphere 11:67:34 Class Time: Tesdas and Fridas 9:15-1:35 Instrctors: Dr. Anthon J. Broccoli (ENR 9) broccoli@ensci.rtgers.ed 73-93-98 6 Dr. Benjamin Lintner (ENR 5) lintner@ensci.rtgers.ed
More information10.2 Solving Quadratic Equations by Completing the Square
. Solving Qadratic Eqations b Completing the Sqare Consider the eqation ( ) We can see clearl that the soltions are However, What if the eqation was given to s in standard form, that is 6 How wold we go
More information10.4 Solving Equations in Quadratic Form, Equations Reducible to Quadratics
. Solving Eqations in Qadratic Form, Eqations Redcible to Qadratics Now that we can solve all qadratic eqations we want to solve eqations that are not eactl qadratic bt can either be made to look qadratic
More informationSecond-Order Wave Equation
Second-Order Wave Eqation A. Salih Department of Aerospace Engineering Indian Institte of Space Science and Technology, Thirvananthapram 3 December 016 1 Introdction The classical wave eqation is a second-order
More information9.3 Graphing Functions by Plotting Points, The Domain and Range of Functions
9. Graphing Functions by Plotting Points, The Domain and Range o Functions Now that we have a basic idea o what unctions are and how to deal with them, we would like to start talking about the graph o
More informationSection 1.2: A Catalog of Functions
Section 1.: A Catalog of Functions As we discussed in the last section, in the sciences, we often tr to find an equation which models some given phenomenon in the real world - for eample, temperature as
More informationwhose domain D is a set of n-tuples in is defined. The range of f is the set of all values f x1,..., x n
Grade (MCV4UE) - AP Calculus Etended Page o A unction o n-variales is a real-valued unction... n whose domain D is a set o n-tuples... n in which... n is deined. The range o is the set o all values...
More informationFigure 1 Probability density function of Wedge copula for c = (best fit to Nominal skew of DRAM case study).
Wedge Copla This docment explains the constrction and properties o a particlar geometrical copla sed to it dependency data rom the edram case stdy done at Portland State University. The probability density
More informationOptimization via the Hamilton-Jacobi-Bellman Method: Theory and Applications
Optimization via the Hamilton-Jacobi-Bellman Method: Theory and Applications Navin Khaneja lectre notes taken by Christiane Koch Jne 24, 29 1 Variation yields a classical Hamiltonian system Sppose that
More information11.6 Directional Derivative & The Gradient Vector. Working Definitions
1 Ma 016 1 Kidogchi Kenneth The directional derivative o at 0 0 ) in the direction o the nit vector is the scalar nction deined b: where q is angle between the two vectors placed tail-to-tail and 0 < q
More informationThis Topic follows on from Calculus Topics C1 - C3 to give further rules and applications of differentiation.
CALCULUS C Topic Overview C FURTHER DIFFERENTIATION This Topic follows on from Calcls Topics C - C to give frther rles applications of differentiation. Yo shold be familiar with Logarithms (Algebra Topic
More informationFormal Methods for Deriving Element Equations
Formal Methods for Deriving Element Eqations And the importance of Shape Fnctions Formal Methods In previos lectres we obtained a bar element s stiffness eqations sing the Direct Method to obtain eact
More informationChapter 3. Preferences and Utility
Chapter 3 Preferences and Utilit Microeconomics stdies how individals make choices; different individals make different choices n important factor in making choices is individal s tastes or preferences
More informationGeometry of Span (continued) The Plane Spanned by u and v
Geometric Description of Span Geometr of Span (contined) 2 Geometr of Span (contined) 2 Span {} Span {, } 2 Span {} 2 Geometr of Span (contined) 2 b + 2 The Plane Spanned b and If a plane is spanned b
More information2. Find the coordinates of the point where the line tangent to the parabola 2
00. lim 3 3 3 = (B) (C) 0 (D) (E). Find the coordinates of the point where the line tangent to the parabola y = 4 at = 4 intersects the ais of symmetry of the parabola. 3. If f () = 7 and f () = 3, then
More informationExtreme Values of Functions
Extreme Values o Functions When we are using mathematics to model the physical world in which we live, we oten express observed physical quantities in terms o variables. Then, unctions are used to describe
More informationHigher Maths A1.3 Recurrence Relations - Revision
Higher Maths A Recrrence Relations - Revision This revision pack covers the skills at Unit Assessment exam level or Recrrence Relations so yo can evalate yor learning o this otcome It is important that
More information1. State-Space Linear Systems 2. Block Diagrams 3. Exercises
LECTURE 1 State-Space Linear Sstems This lectre introdces state-space linear sstems, which are the main focs of this book. Contents 1. State-Space Linear Sstems 2. Block Diagrams 3. Exercises 1.1 State-Space
More informationA generalized Alon-Boppana bound and weak Ramanujan graphs
A generalized Alon-Boppana bond and weak Ramanjan graphs Fan Chng Abstract A basic eigenvale bond de to Alon and Boppana holds only for reglar graphs. In this paper we give a generalized Alon-Boppana bond
More information3.5 Continuity of a Function One Sided Continuity Intermediate Value Theorem... 23
Chapter 3 Limit and Continuity Contents 3. Definition of Limit 3 3.2 Basic Limit Theorems 8 3.3 One sided Limit 4 3.4 Infinite Limit, Limit at infinity and Asymptotes 5 3.4. Infinite Limit and Vertical
More informationBasic mathematics of economic models. 3. Maximization
John Riley 1 January 16 Basic mathematics o economic models 3 Maimization 31 Single variable maimization 1 3 Multi variable maimization 6 33 Concave unctions 9 34 Maimization with non-negativity constraints
More informationQuadratic and Rational Inequalities
Chapter Qadratic Eqations and Ineqalities. Gidelines for solving word problems: (a) Write a verbal model that will describe what yo need to know. (b) Assign labels to each part of the verbal model nmbers
More informationRolle s Theorem and the Mean Value Theorem. Rolle s Theorem
0_00qd //0 0:50 AM Page 7 7 CHAPTER Applications o Dierentiation Section ROLLE S THEOREM French mathematician Michel Rolle irst published the theorem that bears his name in 9 Beore this time, however,
More information4.4 Moment of a Force About a Line
4.4 Moment of a orce bot a Line 4.4 Moment of a orce bot a Line Eample 1, page 1 of 3 1. orce is applied to the end of gearshift lever DE. Determine the moment of abot shaft. State which wa the lever will
More informationMath Review and Lessons in Calculus
Math Review and Lessons in Calculus Agenda Rules o Eponents Functions Inverses Limits Calculus Rules o Eponents 0 Zero Eponent Rule a * b ab Product Rule * 3 5 a / b a-b Quotient Rule 5 / 3 -a / a Negative
More informationCRITERIA FOR TOEPLITZ OPERATORS ON THE SPHERE. Jingbo Xia
CRITERIA FOR TOEPLITZ OPERATORS ON THE SPHERE Jingbo Xia Abstract. Let H 2 (S) be the Hardy space on the nit sphere S in C n. We show that a set of inner fnctions Λ is sfficient for the prpose of determining
More informationHADAMARD-PERRON THEOREM
HADAMARD-PERRON THEOREM CARLANGELO LIVERANI. Invariant manifold of a fixed point He we will discss the simplest possible case in which the existence of invariant manifolds arises: the Hadamard-Perron theorem.
More informationLinear Strain Triangle and other types of 2D elements. By S. Ziaei Rad
Linear Strain Triangle and other tpes o D elements B S. Ziaei Rad Linear Strain Triangle (LST or T6 This element is also called qadratic trianglar element. Qadratic Trianglar Element Linear Strain Triangle
More informationEssentials of optimal control theory in ECON 4140
Essentials of optimal control theory in ECON 4140 Things yo need to know (and a detail yo need not care abot). A few words abot dynamic optimization in general. Dynamic optimization can be thoght of as
More informationBasic properties of limits
Roberto s Notes on Dierential Calculus Chapter : Limits and continuity Section Basic properties o its What you need to know already: The basic concepts, notation and terminology related to its. What you
More informationPartial Differential Equations with Applications
Universit of Leeds MATH 33 Partial Differential Eqations with Applications Eamples to spplement Chapter on First Order PDEs Eample (Simple linear eqation, k + = 0, (, 0) = ϕ(), k a constant.) The characteristic
More informationChapter 6 Momentum Transfer in an External Laminar Boundary Layer
6. Similarit Soltions Chapter 6 Momentm Transfer in an Eternal Laminar Bondar Laer Consider a laminar incompressible bondar laer with constant properties. Assme the flow is stead and two-dimensional aligned
More informationLimits and Continuous Functions. 2.2 Introduction to Limits. We first interpret limits loosely. We write. lim f(x) = L
2 Limits and Continuous Functions 2.2 Introduction to Limits We first interpret limits loosel. We write lim f() = L and sa the limit of f() as approaches c, equals L if we can make the values of f() arbitraril
More informationEE2 Mathematics : Functions of Multiple Variables
EE2 Mathematics : Fnctions of Mltiple Variables http://www2.imperial.ac.k/ nsjones These notes are not identical word-for-word with m lectres which will be gien on the blackboard. Some of these notes ma
More informationDifferentiation. The main problem of differential calculus deals with finding the slope of the tangent line at a point on a curve.
Dierentiation The main problem o dierential calculus deals with inding the slope o the tangent line at a point on a curve. deinition() : The slope o a curve at a point p is the slope, i it eists, o the
More informationand ( x, y) in a domain D R a unique real number denoted x y and b) = x y = {(, ) + 36} that is all points inside and on
Mat 7 Calculus III Updated on 10/4/07 Dr. Firoz Chapter 14 Partial Derivatives Section 14.1 Functions o Several Variables Deinition: A unction o two variables is a rule that assigns to each ordered pair
More informationCISE-301: Numerical Methods Topic 1:
CISE-3: Numerical Methods Topic : Introduction to Numerical Methods and Taylor Series Lectures -4: KFUPM Term 9 Section 8 CISE3_Topic KFUPM - T9 - Section 8 Lecture Introduction to Numerical Methods What
More informationMat 267 Engineering Calculus III Updated on 9/19/2010
Chapter 11 Partial Derivatives Section 11.1 Functions o Several Variables Deinition: A unction o two variables is a rule that assigns to each ordered pair o real numbers (, ) in a set D a unique real number
More informationConcept of Stress at a Point
Washkeic College of Engineering Section : STRONG FORMULATION Concept of Stress at a Point Consider a point ithin an arbitraril loaded deformable bod Define Normal Stress Shear Stress lim A Fn A lim A FS
More informationThe concept of limit
Roberto s Notes on Dierential Calculus Chapter 1: Limits and continuity Section 1 The concept o limit What you need to know already: All basic concepts about unctions. What you can learn here: What limits
More information4 Exact laminar boundary layer solutions
4 Eact laminar bondary layer soltions 4.1 Bondary layer on a flat plate (Blasis 1908 In Sec. 3, we derived the bondary layer eqations for 2D incompressible flow of constant viscosity past a weakly crved
More informationLecture 4. Properties of Logarithmic Function (Contd ) y Log z tan constant x. It follows that
Lecture 4 Properties of Logarithmic Function (Contd ) Since, Logln iarg u Re Log ln( ) v Im Log tan constant It follows that u v, u v This shows that Re Logand Im Log are (i) continuous in C { :Re 0,Im
More informationRe(z) = a, For example, 3 + 2i = = 13. The complex conjugate (or simply conjugate") of z = a + bi is the number z defined by
F COMPLEX NUMBERS In this appendi, we review the basic properties of comple numbers. A comple number is a number z of the form z = a + bi where a,b are real numbers and i represents a number whose square
More informationProperties of Limits
33460_003qd //04 :3 PM Page 59 SECTION 3 Evaluating Limits Analticall 59 Section 3 Evaluating Limits Analticall Evaluate a it using properties of its Develop and use a strateg for finding its Evaluate
More informationA generalized Alon-Boppana bound and weak Ramanujan graphs
A generalized Alon-Boppana bond and weak Ramanjan graphs Fan Chng Department of Mathematics University of California, San Diego La Jolla, CA, U.S.A. fan@csd.ed Sbmitted: Feb 0, 206; Accepted: Jne 22, 206;
More informationMathematical Preliminaries. Developed for the Members of Azera Global By: Joseph D. Fournier B.Sc.E.E., M.Sc.E.E.
Mathematical Preliminaries Developed or the Members o Azera Global B: Joseph D. Fournier B.Sc.E.E., M.Sc.E.E. Outline Chapter One, Sets: Slides: 3-27 Chapter Two, Introduction to unctions: Slides: 28-36
More informationChem 4501 Introduction to Thermodynamics, 3 Credits Kinetics, and Statistical Mechanics. Fall Semester Homework Problem Set Number 10 Solutions
Chem 4501 Introdction to Thermodynamics, 3 Credits Kinetics, and Statistical Mechanics Fall Semester 2017 Homework Problem Set Nmber 10 Soltions 1. McQarrie and Simon, 10-4. Paraphrase: Apply Eler s theorem
More informationChapter 9 Flow over Immersed Bodies
57:00 Mechanics o Flids and Transport Processes Chapter 9 Proessor Fred Stern Fall 01 1 Chapter 9 Flow over Immersed Bodies Flid lows are broadly categorized: 1. Internal lows sch as dcts/pipes, trbomachinery,
More informationAppendix 2 Complex Analysis
Appendix Complex Analsis This section is intended to review several important theorems and definitions from complex analsis. Analtic function Let f be a complex variable function of a complex value, i.e.
More informationPolynomial and Rational Functions
Name Date Chapter Polnomial and Rational Functions Section.1 Quadratic Functions Objective: In this lesson ou learned how to sketch and analze graphs of quadratic functions. Important Vocabular Define
More informationLIGHTWEIGHT STRUCTURES in CIVIL ENGINEERING - CONTEMPORARY PROBLEMS
ITERATIOAL SEMIAR Organized by Polish Chapter o International Association or Shell and Spatial Strctres LIGHTWEIGHT STRUCTURES in CIVIL EGIEERIG - COTEMPORARY PROBLEMS STOCHASTIC CORROSIO EFFECTS O RELIABILITY
More informationConditions for Approaching the Origin without Intersecting the x-axis in the Liénard Plane
Filomat 3:2 (27), 376 377 https://doi.org/.2298/fil7276a Pblished by Faclty of Sciences and Mathematics, University of Niš, Serbia Available at: http://www.pmf.ni.ac.rs/filomat Conditions for Approaching
More informationLecture 7 Waveguides. TC 412 Microwave Communications
Lectre 7 Wavegides TC 41 Microwave Commnications RS 1 Review Impedance matching to minimie power relection rom load Lmped-element tners Single-stb tners Microstrip lines The most poplar transmission line
More informationIncreasing and Decreasing Functions and the First Derivative Test. Increasing and Decreasing Functions. Video
SECTION and Decreasing Functions and the First Derivative Test 79 Section and Decreasing Functions and the First Derivative Test Determine intervals on which a unction is increasing or decreasing Appl
More information1.2 Functions and Their Properties PreCalculus
1. Functions and Their Properties PreCalculus 1. FUNCTIONS AND THEIR PROPERTIES Learning Targets for 1. 1. Determine whether a set of numbers or a graph is a function. Find the domain of a function given
More informationPACKET Unit 4 Honors ICM Functions and Limits 1
PACKET Unit 4 Honors ICM Functions and Limits 1 Day 1 Homework For each of the rational functions find: a. domain b. -intercept(s) c. y-intercept Graph #8 and #10 with at least 5 EXACT points. 1. f 6.
More informationz-axis SUBMITTED BY: Ms. Harjeet Kaur Associate Professor Department of Mathematics PGGCG 11, Chandigarh y-axis x-axis
z-ais - - SUBMITTED BY: - -ais - - - - - - -ais Ms. Harjeet Kaur Associate Proessor Department o Mathematics PGGCG Chandigarh CONTENTS: Function o two variables: Deinition Domain Geometrical illustration
More information9.1 The Square Root Function
Section 9.1 The Square Root Function 869 9.1 The Square Root Function In this section we turn our attention to the square root unction, the unction deined b the equation () =. (1) We begin the section
More informationReview of Prerequisite Skills for Unit # 2 (Derivatives) U2L2: Sec.2.1 The Derivative Function
UL1: Review o Prerequisite Skills or Unit # (Derivatives) Working with the properties o exponents Simpliying radical expressions Finding the slopes o parallel and perpendicular lines Simpliying rational
More informationGradient Projection Anti-windup Scheme on Constrained Planar LTI Systems. Justin Teo and Jonathan P. How
1 Gradient Projection Anti-windp Scheme on Constrained Planar LTI Systems Jstin Teo and Jonathan P. How Technical Report ACL1 1 Aerospace Controls Laboratory Department of Aeronatics and Astronatics Massachsetts
More informationThis is only a list of questions use a separate sheet to work out the problems. 1. (1.2 and 1.4) Use the given graph to answer each question.
Mth Calculus Practice Eam Questions NOTE: These questions should not be taken as a complete list o possible problems. The are merel intended to be eamples o the diicult level o the regular eam questions.
More information8. THEOREM If the partial derivatives f x. and f y exist near (a, b) and are continuous at (a, b), then f is differentiable at (a, b).
8. THEOREM I the partial derivatives and eist near (a b) and are continuous at (a b) then is dierentiable at (a b). For a dierentiable unction o two variables z= ( ) we deine the dierentials d and d to
More informationCHARACTERIZATIONS OF EXPONENTIAL DISTRIBUTION VIA CONDITIONAL EXPECTATIONS OF RECORD VALUES. George P. Yanev
Pliska Std. Math. Blgar. 2 (211), 233 242 STUDIA MATHEMATICA BULGARICA CHARACTERIZATIONS OF EXPONENTIAL DISTRIBUTION VIA CONDITIONAL EXPECTATIONS OF RECORD VALUES George P. Yanev We prove that the exponential
More informationComplex Numbers and Exponentials
omple Numbers and Eponentials Definition and Basic Operations comple number is nothing more than a point in the plane. The sum and product of two comple numbers ( 1, 1 ) and ( 2, 2 ) is defined b ( 1,
More informationMath 273b: Calculus of Variations
Math 273b: Calcls of Variations Yacob Kreh Homework #3 [1] Consier the 1D length fnctional minimization problem min F 1 1 L, or min 1 + 2, for twice ifferentiable fnctions : [, 1] R with bonary conitions,
More informationSection 3.1. ; X = (0, 1]. (i) f : R R R, f (x, y) = x y
Paul J. Bruillard MATH 0.970 Problem Set 6 An Introduction to Abstract Mathematics R. Bond and W. Keane Section 3.1: 3b,c,e,i, 4bd, 6, 9, 15, 16, 18c,e, 19a, 0, 1b Section 3.: 1f,i, e, 6, 1e,f,h, 13e,
More information(2.5) 1. Solve the following compound inequality and graph the solution set.
Intermediate Algebra Practice Final Math 0 (7 th ed.) (Ch. -) (.5). Solve the following compound inequalit and graph the solution set. 0 and and > or or (.7). Solve the following absolute value inequalities.
More informationThe Brauer Manin obstruction
The Braer Manin obstrction Martin Bright 17 April 2008 1 Definitions Let X be a smooth, geometrically irredcible ariety oer a field k. Recall that the defining property of an Azmaya algebra A is that,
More informationPart D. Complex Analysis
Part D. Comple Analsis Chapter 3. Comple Numbers and Functions. Man engineering problems ma be treated and solved b using comple numbers and comple functions. First, comple numbers and the comple plane
More informationECON3120/4120 Mathematics 2, spring 2009
University of Oslo Department of Economics Arne Strøm ECON3/4 Mathematics, spring 9 Problem soltions for Seminar 4, 6 Febrary 9 (For practical reasons some of the soltions may inclde problem parts that
More information5. The Bernoulli Equation
5. The Bernolli Eqation [This material relates predominantly to modles ELP034, ELP035] 5. Work and Energy 5. Bernolli s Eqation 5.3 An example of the se of Bernolli s eqation 5.4 Pressre head, velocity
More informationMath 2412 Activity 1(Due by EOC Sep. 17)
Math 4 Activity (Due by EOC Sep. 7) Determine whether each relation is a unction.(indicate why or why not.) Find the domain and range o each relation.. 4,5, 6,7, 8,8. 5,6, 5,7, 6,6, 6,7 Determine whether
More informationComments on Problems. 3.1 This problem offers some practice in deriving utility functions from indifference curve specifications.
CHAPTER 3 PREFERENCES AND UTILITY These problems provide some practice in eamining utilit unctions b looking at indierence curve maps and at a ew unctional orms. The primar ocus is on illustrating the
More informationChapter 3 MATHEMATICAL MODELING OF DYNAMIC SYSTEMS
Chapter 3 MATHEMATICAL MODELING OF DYNAMIC SYSTEMS 3. System Modeling Mathematical Modeling In designing control systems we mst be able to model engineered system dynamics. The model of a dynamic system
More informationElements of Coordinate System Transformations
B Elements of Coordinate System Transformations Coordinate system transformation is a powerfl tool for solving many geometrical and kinematic problems that pertain to the design of gear ctting tools and
More information