Solution Week 75 (2/16/04) Hanging chain

Size: px
Start display at page:

Download "Solution Week 75 (2/16/04) Hanging chain"

Transcription

1 Catenary Catenary is idealized shae of chain or cable hanging under its weight with the fixed end oints. The chain (cable) curve is catenary that minimizes the otential energy PHY 322, Sring 208

2 Solution Week 75 (2/6/04) Hanging chain We ll resent four solutions. The first one involves balancing forces. The other three involve various variations on a variational argument. First solution: Let the chain be described by the function y(x), and let the tension be described by the function T (x). Consider a small iece of the chain, with endoints at x and x + dx, as shown. T(x+dx) θ 2 θ T(x) x x+dx Let the tension at x ull downward at an angle µ with resect to the horizontal, and let the tension at x + dx ull uward at an angle µ 2 with resect to the horizontal. Balancing the horizontal and vertical forces on the small iece of chain gives T (x + dx) cos µ 2 = T (x) cos µ, T (x + dx)sinµ 2 = T (x)sinµ + gω dx cos µ, () where Ω is the mass er unit length. The second term on the right is the weight of the small iece, because dx/ cos µ (or dx/ cos µ 2, which is essentially the same) is its length. We must now somehow solve these two differential euations for the two unknown functions, y(x) and T (x). There are various ways to do this. Here is one method, broken down into three stes. First ste: Suaring and adding es. () gives (T (x + dx)) 2 =(T (x)) 2 +2T (x)gω tan µ dx + O(dx 2 ). (2) Writing T (x+dx) º T (x)+t 0 (x) dx, and using tan µ = dy/dx y 0, we can simlify e. (2) to (neglecting second-order terms in dx) Therefore, where c is a constant of integration. T 0 = gωy 0. (3) T = gωy + c, (4)

3 Second ste: Let s see what we can extract from the first euation in es. (). Using cos µ = +(y 0 (x)) 2, and cos µ 2 = +(y 0 (x + dx)) 2, (5) and exanding things to first order in dx, the first of es. () becomes T + T 0 dx +(y 0 + y 00 dx) 2 = T +y 02. (6) All of the functions here are evaluated at x, which we won t bother writing. Exanding the first suare root gives (to first order in dx) T + T 0 dx +y 02 To first order in dx this yields Integrating both sides gives µ y0 y 00 dx +y 02 = T +y 02. (7) T 0 T = y0 y 00. (8) +y02 ln T + c 2 = 2 ln( + y02 ), (9) where c 2 is a constant of integration. Exonentiating then gives where c 3 e c 2. c 2 3T 2 =+y 02, (0) Third ste: We will now combine e. (0) with e. (4) to solve for y(x). Eliminating T gives c 2 3 (gωy + c ) 2 =+y 02. We can rewrite this is the somewhat nicer form, +y 02 = Æ 2 (y + h) 2, () where Æ c 3 gω, and h = c /gω. At this oint we can cleverly guess (motivated by the fact that + sinh 2 z = cosh 2 z) that the solution for y is given by Or, we can searate variables to obtain y(x)+h = cosh Æ(x + a). (2) Æ dx = dy Æ 2 (y + h) 2, (3) and then use the fact that the integral of / z 2 is cosh z, to obtain the same result. The shae of the chain is therefore a hyerbolic cosine function. The constant h isn t too imortant, because it simly deends on where we ick the y = 0 height. Furthermore, we can eliminate the need for the constant a if we ick x =0tobe 2

4 where the lowest oint of the chain is (or where it would be, in the case where the sloe is always nonzero). In this case, using e. (2), we see that y 0 (0) = 0 imlies a = 0, as desired. We then have (ignoring the constant h) thenicesimleresult, y(x) = cosh(æx). (4) Æ We ll show how to determine Æ at the end of the solutions. Second solution: We can also solve this roblem by using a variational argument. The chain will want to minimize its otential energy, so we want to find the function y(x) that minimizes the integral, Z U = (dm)gy = Z Z Ω +y 02 dx gy = Ωg y +y 02 dx, (5) subject to the constraint that the length of the chain is some given length `. That is, Z ` = +y 02 dx. (6) Without this constraint, we could find y(x) by simly using the Euler-Lagrange euation on the Lagrangian y +y 02 given in e. (5). But with the constraint, we must use the method of Lagrange multiliers. This works for functionals in the same way it works for functions. Basically, for any small variation in y(x) near the minimum, we want the change in U to be roortional to the change in `. This means that there exists a linear combination of U and ` that doesn t change, to first order in any small variation in y(x). In other words, the Lagrangian 2 L = y +y 02 + h +y 02 =(y + h) +y 02 (7) satisfis the Euler-Lagrange euation, for some value of h. Therefore, µ 0 d (y + h)y 0 =) = dx 02. (8) +y 02 We must now erform some straightforward (although tedious) differentiations. Using the roduct rule on the left-hand side, and making coious use of the chain rule, we obtain y 02 (y + h)y00 + (y + h)y02 y 00 +y 02 +y 02 ( + y 02 ) 3/2 = +y 02. (9) Multilying through by ( + y 02 ) 3/2 and simlifying gives (y + h)y 00 =(+y 02 ). (20) The reason for this is the following. Assume that we have found the desired function y(x) that minimizes U, and consider two different variations in y(x) that give the same change in `, but different changes in U. Then the difference in these variations will roduce no change in `, while yielding a nonzero first-order change in U. This contradicts the fact that our y(x) yielded an extremum of U. 2 We ll use h for the Lagrange multilier, to make the notation consistent with that in the first solution. 3

5 Having roduced the Euler-Lagrange differential euation, we must now integrate it. If we multily through by y 0 and rearrange, we obtain y 0 y 00 y0 = +y02 y + h. (2) Taking the dx integral of both sides gives (/2) ln( + y 02 )=ln(y + h)+c 4,where c 4 is a constant of integration. Exonentiation then gives (with Æ e c 4 ) in agreement with e. (). +y 02 = Æ 2 (y + h) 2. (22) Third solution: Let s use a variational argument again, but now with y as the indeendent variable. That is, let the chain be described by the function x(y). Then the otential energy is Z Z U = (dm)gy = Ω Z +x dy 02 gy = Ωg y +x 02 dy. (23) The constraint is Z +x ` = 02 dy. (24) Using the method of Lagrange multiliers as in the second solution above, the Lagrangian we want to consider is L = y +x 02 + h +x 02 =(y + h) +x 02. (25) Our Euler-Lagrange euation is then d =) d dy µ (y + h)x 0 =0. (26) +x 02 The zero on the right-hand side makes things nice and easy, because it means that the uantity in arentheses is a constant. Calling this constant /Æ (to end u with the notation in the second solution), we have Æ(y + h)x 0 = +x 02. Therefore, x 0 = Æ 2 (y + h) 2, (27) which is euivalent to e. (3). Fourth solution: Note that our Lagrangian in the second solution above, which is given in e. (7) as L =(y + h) +y 02, (28) is indeendent of x. Therefore, in analogy with conservation of energy (which arises from a Lagrangian that is indeendent of t), the uantity E 0 L = y + h +y 02 (29) 4

6 is indeendent of x. Call it /Æ. Then we have reroduced e. (). Remark: The constant Æ can be determined from the locations of the endoints and the length of the chain. The osition of the chain may be described by giving () the horizontal distance, d, between the two endoints, (2) the vertical distance,, betweenthe two endoints, and (3) the length, `, of the chain, as shown. d l λ -x x = 0 d-x 0 0 Note that it is not obvious what the horizontal distances between the ends and the minimum oint (which we have chosen as the x = 0 oint) are. If = 0, then these distances are simly d/2. But otherwise, they are not so clear. If we let the left endoint be located at x = x 0, then the right endoint is located at x = d x 0.Wenowhavetwounknowns,x 0 and Æ. Our two conditions are 3 y(d x 0 ) y( x 0 )=, (30) along with the condition that the length euals `, which takes the form (using e. (4)) ` = Z d x0 x 0 +y 02 dx = Æ sinh(æx) Ø ØØ d x 0 Writing out es. (30) and (3) exlicitly, using e. (4), we have cosh Æ(d x 0 ) cosh( Æx 0 ) = Æ, and x 0. (3) sinh Æ(d x 0 ) sinh( Æx 0 ) = Æ`. (32) If we take the difference of the suares of these two euations, and use the hyerbolic identities cosh 2 x sinh 2 x = and cosh x cosh y sinh x sinh y = cosh(x y), we obtain 2 2 cosh(æd) =Æ 2 ( 2 `2). (33) We can now numerically solve this euation for Æ. Using a half-angle formula, you can show that e. (33) may also be written as 2sinh(Æd/2) = Æ `2 2. (34) We can check some limits here. If = 0 and ` = d (that is, the chain forms a horizontal straight line), then e. (34) becomes 2 sinh(æd/2) = Æd. The solution to this is Æ = 0, which does indeed corresond to a horizontal straight line, because for small Æ, e. (4) behaves like Æx 2 /2 (u to an additive constant), which varies slowly with x for small Æ. Another limit is where ` is much larger than both d and. In this case, e. (34) becomes 2sinh(Æd/2) º Æ`. The solution to this is a very large Æ, which corresonds to a drooy chain, because e. (4) varies raidly with x for large Æ. 3 We ll take the right end to be higher than the left end, without loss of generality. 5

Solutions to Problem Set 5

Solutions to Problem Set 5 Solutions to Problem Set Problem 4.6. f () ( )( 4) For this simle rational function, we see immediately that the function has simle oles at the two indicated oints, and so we use equation (6.) to nd the

More information

PHYS 301 HOMEWORK #9-- SOLUTIONS

PHYS 301 HOMEWORK #9-- SOLUTIONS PHYS 0 HOMEWORK #9-- SOLUTIONS. We are asked to use Dirichlet' s theorem to determine the value of f (x) as defined below at x = 0, ± /, ± f(x) = 0, - < x

More information

Physics 351, Spring 2017, Homework #4. Due at start of class, Friday, February 10, 2017

Physics 351, Spring 2017, Homework #4. Due at start of class, Friday, February 10, 2017 Physics 351, Spring 2017, Homework #4. Due at start of class, Friday, February 10, 2017 Course info is at positron.hep.upenn.edu/p351 When you finish this homework, remember to visit the feedback page

More information

Exercise 2: Equivalence of the first two definitions for a differentiable function. is a convex combination of

Exercise 2: Equivalence of the first two definitions for a differentiable function. is a convex combination of March 07 Mathematical Foundations John Riley Module Marginal analysis and single variable calculus 6 Eercises Eercise : Alternative definitions of a concave function (a) For and that 0, and conve combination

More information

III. Flow Around Bends: Meander Evolution

III. Flow Around Bends: Meander Evolution III. Flow Around Bends: Meander Evolution 1. Introduction Hooke (1975) [aer available] first detailed data and measurements about what haens around meander bends how flow velocity and shear stress fields

More information

Math 99 Review for Exam 3

Math 99 Review for Exam 3 age 1 1. Simlify each of the following eressions. (a) ab a b + 1 b 1 a 1 b + 1 Solution: We will factor both numerator and denominator and then cancel. The numerator can be factored by grouing ab {z a

More information

4727 Further Pure Mathematics 3

4727 Further Pure Mathematics 3 hysicsandmathstutor.com 477 Mark Scheme June 009 477 Further Pure Mathematics 6 6 B For arg z seen or imlied i cos isin cos isin 8 8 cos isin, 8 8 cos 5 isin 5 8 8, For dividing arg z by i A A 4 4 6 For

More information

Linear diophantine equations for discrete tomography

Linear diophantine equations for discrete tomography Journal of X-Ray Science and Technology 10 001 59 66 59 IOS Press Linear diohantine euations for discrete tomograhy Yangbo Ye a,gewang b and Jiehua Zhu a a Deartment of Mathematics, The University of Iowa,

More information

THE FIRST LAW OF THERMODYNAMICS

THE FIRST LAW OF THERMODYNAMICS THE FIRST LA OF THERMODYNAMIS 9 9 (a) IDENTIFY and SET UP: The ressure is constant and the volume increases (b) = d Figure 9 Since is constant, = d = ( ) The -diagram is sketched in Figure 9 The roblem

More information

22 ELECTROMAGNETIC INDUCTION

22 ELECTROMAGNETIC INDUCTION CHAPTER ELECTROMAGNETIC INDUCTION ANSWERS TO FOCUS ON CONCEPTS QUESTIONS. 3.5 m/s. (e) The work done by the hand equals the energy dissiated in the bulb. The energy dissiated in the bulb equals the ower

More information

An Improved Calibration Method for a Chopped Pyrgeometer

An Improved Calibration Method for a Chopped Pyrgeometer 96 JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY VOLUME 17 An Imroved Calibration Method for a Choed Pyrgeometer FRIEDRICH FERGG OtoLab, Ingenieurbüro, Munich, Germany PETER WENDLING Deutsches Forschungszentrum

More information

Calculus of Variations Summer Term 2014

Calculus of Variations Summer Term 2014 Calculus of Variations Summer Term 2014 Lecture 5 7. Mai 2014 c Daria Apushkinskaya 2014 () Calculus of variations lecture 5 7. Mai 2014 1 / 25 Purpose of Lesson Purpose of Lesson: To discuss catenary

More information

f(x) p(x) =p(b)... d. A function can have two different horizontal asymptotes...

f(x) p(x) =p(b)... d. A function can have two different horizontal asymptotes... Math Final Eam, Fall. ( ts.) Mark each statement as either true [T] or false [F]. f() a. If lim f() =and lim g() =, then lim does not eist......................!5!5!5 g() b. If is a olynomial, then lim!b

More information

Statics and dynamics: some elementary concepts

Statics and dynamics: some elementary concepts 1 Statics and dynamics: some elementary concets Dynamics is the study of the movement through time of variables such as heartbeat, temerature, secies oulation, voltage, roduction, emloyment, rices and

More information

Chapter 13: General Solutions to Homogeneous Linear Differential Equations

Chapter 13: General Solutions to Homogeneous Linear Differential Equations Worked Solutions 1 Chapter 13: General Solutions to Homogeneous Linear Differential Equations 13.2 a. Verifying that {y 1, y 2 } is a fundamental solution set: We have y 1 (x) = cos(2x) y 1 (x) = 2 sin(2x)

More information

Numerical Linear Algebra

Numerical Linear Algebra Numerical Linear Algebra Numerous alications in statistics, articularly in the fitting of linear models. Notation and conventions: Elements of a matrix A are denoted by a ij, where i indexes the rows and

More information

Simplifications to Conservation Equations

Simplifications to Conservation Equations Chater 5 Simlifications to Conservation Equations 5.1 Steady Flow If fluid roerties at a oint in a field do not change with time, then they are a function of sace only. They are reresented by: ϕ = ϕq 1,

More information

HENSEL S LEMMA KEITH CONRAD

HENSEL S LEMMA KEITH CONRAD HENSEL S LEMMA KEITH CONRAD 1. Introduction In the -adic integers, congruences are aroximations: for a and b in Z, a b mod n is the same as a b 1/ n. Turning information modulo one ower of into similar

More information

Throughout this module we use x to denote the positive square root of x; for example, 4 = 2.

Throughout this module we use x to denote the positive square root of x; for example, 4 = 2. Throughout this module we use x to denote the positive square root of x; for example, 4 = 2. You may often see (although not in FLAP) the notation sin 1 used in place of arcsin. sinh and cosh are pronounced

More information

7.3 Hyperbolic Functions Hyperbolic functions are similar to trigonometric functions, and have the following

7.3 Hyperbolic Functions Hyperbolic functions are similar to trigonometric functions, and have the following Math 2-08 Rahman Week3 7.3 Hyperbolic Functions Hyperbolic functions are similar to trigonometric functions, and have the following definitions: sinh x = 2 (ex e x ) cosh x = 2 (ex + e x ) tanh x = sinh

More information

CMSC 425: Lecture 4 Geometry and Geometric Programming

CMSC 425: Lecture 4 Geometry and Geometric Programming CMSC 425: Lecture 4 Geometry and Geometric Programming Geometry for Game Programming and Grahics: For the next few lectures, we will discuss some of the basic elements of geometry. There are many areas

More information

An Inverse Problem for Two Spectra of Complex Finite Jacobi Matrices

An Inverse Problem for Two Spectra of Complex Finite Jacobi Matrices Coyright 202 Tech Science Press CMES, vol.86, no.4,.30-39, 202 An Inverse Problem for Two Sectra of Comlex Finite Jacobi Matrices Gusein Sh. Guseinov Abstract: This aer deals with the inverse sectral roblem

More information

Solutions to Tutorial for Week 4

Solutions to Tutorial for Week 4 The University of Sydney School of Mathematics and Statistics Solutions to Tutorial for Week 4 MATH191/1931: Calculus of One Variable (Advanced) Semester 1, 018 Web Page: sydneyeduau/science/maths/u/ug/jm/math191/

More information

arxiv: v1 [physics.data-an] 26 Oct 2012

arxiv: v1 [physics.data-an] 26 Oct 2012 Constraints on Yield Parameters in Extended Maximum Likelihood Fits Till Moritz Karbach a, Maximilian Schlu b a TU Dortmund, Germany, moritz.karbach@cern.ch b TU Dortmund, Germany, maximilian.schlu@cern.ch

More information

Excerpt from "Intermediate Algebra" 2014 AoPS Inc.

Excerpt from Intermediate Algebra 2014 AoPS Inc. Ecert from "Intermediate Algebra" 04 AoPS Inc. www.artofroblemsolving.com for which our grah is below the -ais with the oints where the grah intersects the -ais (because the ineuality is nonstrict), we

More information

You may not start to read the questions printed on the subsequent pages until instructed to do so by the Invigilator.

You may not start to read the questions printed on the subsequent pages until instructed to do so by the Invigilator. NAURAL SCIENCES RIPOS Part IA Wednesday 5 June 2005 9 to 2 MAHEMAICS (2) Before you begin read these instructions carefully: You may submit answers to no more than six questions. All questions carry the

More information

F(p) y + 3y + 2y = δ(t a) y(0) = 0 and y (0) = 0.

F(p) y + 3y + 2y = δ(t a) y(0) = 0 and y (0) = 0. Page 5- Chater 5: Lalace Transforms The Lalace Transform is a useful tool that is used to solve many mathematical and alied roblems. In articular, the Lalace transform is a technique that can be used to

More information

Worksheet on Derivatives. Dave L. Renfro Drake University November 1, 1999

Worksheet on Derivatives. Dave L. Renfro Drake University November 1, 1999 Worksheet on Derivatives Dave L. Renfro Drake University November, 999 A. Fun With d d (n ) = n n : Find y In case you re interested, the rimary urose of these roblems (Section A) is to review roerties

More information

Theoretical Statistical Physics

Theoretical Statistical Physics Janosh Riebesell, Adrian van Kan Lecturer: Manfred Salmhofer December nd, 06 Theoretical Statistical Physics Solution to Exercise Sheet 5 Ideal gas work (3 oints Within the kinetic model of an ideal gas,

More information

Towards understanding the Lorenz curve using the Uniform distribution. Chris J. Stephens. Newcastle City Council, Newcastle upon Tyne, UK

Towards understanding the Lorenz curve using the Uniform distribution. Chris J. Stephens. Newcastle City Council, Newcastle upon Tyne, UK Towards understanding the Lorenz curve using the Uniform distribution Chris J. Stehens Newcastle City Council, Newcastle uon Tyne, UK (For the Gini-Lorenz Conference, University of Siena, Italy, May 2005)

More information

Economics 101. Lecture 7 - Monopoly and Oligopoly

Economics 101. Lecture 7 - Monopoly and Oligopoly Economics 0 Lecture 7 - Monooly and Oligooly Production Equilibrium After having exlored Walrasian equilibria with roduction in the Robinson Crusoe economy, we will now ste in to a more general setting.

More information

6.7 Hyperbolic Functions

6.7 Hyperbolic Functions 6.7 6.7 Hyperbolic Functions Even and Odd Parts of an Exponential Function We recall that a function f is called even if f( x) = f(x). f is called odd if f( x) = f(x). The sine function is odd while the

More information

4. Score normalization technical details We now discuss the technical details of the score normalization method.

4. Score normalization technical details We now discuss the technical details of the score normalization method. SMT SCORING SYSTEM This document describes the scoring system for the Stanford Math Tournament We begin by giving an overview of the changes to scoring and a non-technical descrition of the scoring rules

More information

1 Extremum Estimators

1 Extremum Estimators FINC 9311-21 Financial Econometrics Handout Jialin Yu 1 Extremum Estimators Let θ 0 be a vector of k 1 unknown arameters. Extremum estimators: estimators obtained by maximizing or minimizing some objective

More information

3 More applications of derivatives

3 More applications of derivatives 3 More alications of derivatives 3.1 Eact & ineact differentials in thermodynamics So far we have been discussing total or eact differentials ( ( u u du = d + dy, (1 but we could imagine a more general

More information

Surfaces of Revolution with Constant Mean Curvature in Hyperbolic 3-Space

Surfaces of Revolution with Constant Mean Curvature in Hyperbolic 3-Space Surfaces of Revolution with Constant Mean Curvature in Hyerbolic 3-Sace Sungwook Lee Deartment of Mathematics, University of Southern Mississii, Hattiesburg, MS 39401, USA sunglee@usm.edu Kinsey-Ann Zarske

More information

CMSC 425: Lecture 7 Geometric Programming: Sample Solutions

CMSC 425: Lecture 7 Geometric Programming: Sample Solutions CMSC 425: Lecture 7 Geometric Programming: Samle Solutions Samles: In the last few lectures, we have been discussing affine and Euclidean geometr, coordinate frames and affine transformations, and rotations.

More information

How to Use Calculus Like a Physicist

How to Use Calculus Like a Physicist How to Use Calculus Like a Physicist Physics A300 Fall 2004 The purpose of these notes is to make contact between the abstract descriptions you may have seen in your calculus classes and the applications

More information

HEAT, WORK, AND THE FIRST LAW OF THERMODYNAMICS

HEAT, WORK, AND THE FIRST LAW OF THERMODYNAMICS HET, ORK, ND THE FIRST L OF THERMODYNMIS 8 EXERISES Section 8. The First Law of Thermodynamics 5. INTERPRET e identify the system as the water in the insulated container. The roblem involves calculating

More information

Computer arithmetic. Intensive Computation. Annalisa Massini 2017/2018

Computer arithmetic. Intensive Computation. Annalisa Massini 2017/2018 Comuter arithmetic Intensive Comutation Annalisa Massini 7/8 Intensive Comutation - 7/8 References Comuter Architecture - A Quantitative Aroach Hennessy Patterson Aendix J Intensive Comutation - 7/8 3

More information

CHAPTER 25. Answer to Checkpoint Questions

CHAPTER 25. Answer to Checkpoint Questions CHAPTER 5 ELECTRIC POTENTIAL 68 CHAPTER 5 Answer to Checkoint Questions. (a) negative; (b) increase. (a) ositive; (b) higher 3. (a) rightward; (b),, 3, 5: ositive; 4: negative; (c) 3, then,, and 5 tie,

More information

Brownian Motion and Random Prime Factorization

Brownian Motion and Random Prime Factorization Brownian Motion and Random Prime Factorization Kendrick Tang June 4, 202 Contents Introduction 2 2 Brownian Motion 2 2. Develoing Brownian Motion.................... 2 2.. Measure Saces and Borel Sigma-Algebras.........

More information

Answers Investigation 2

Answers Investigation 2 Answers Alications 1. a. Plan 1: y = x + 5; Plan 2: y = 1.5x + 2.5 b. Intersection oint (5, 10) is an exact solution to the system of equations. c. x + 5 = 1.5x + 2.5 leads to x = 5; (5) + 5 = 10 or 1.5(5)

More information

John Weatherwax. Analysis of Parallel Depth First Search Algorithms

John Weatherwax. Analysis of Parallel Depth First Search Algorithms Sulementary Discussions and Solutions to Selected Problems in: Introduction to Parallel Comuting by Viin Kumar, Ananth Grama, Anshul Guta, & George Karyis John Weatherwax Chater 8 Analysis of Parallel

More information

Elementary Analysis in Q p

Elementary Analysis in Q p Elementary Analysis in Q Hannah Hutter, May Szedlák, Phili Wirth November 17, 2011 This reort follows very closely the book of Svetlana Katok 1. 1 Sequences and Series In this section we will see some

More information

AP Calculus Testbank (Chapter 10) (Mr. Surowski)

AP Calculus Testbank (Chapter 10) (Mr. Surowski) AP Calculus Testbank (Chater 1) (Mr. Surowski) Part I. Multile-Choice Questions 1. The grah in the xy-lane reresented by x = 3 sin t and y = cost is (A) a circle (B) an ellise (C) a hyerbola (D) a arabola

More information

Math F15 Rahman

Math F15 Rahman Math - 9 F5 Rahman Week3 7.3 Hyperbolic Functions Hyperbolic functions are similar to trigonometric functions, and have the following definitions: sinh x = (ex e x ) cosh x = (ex + e x ) tanh x = sinh

More information

Chapter 7 Rational and Irrational Numbers

Chapter 7 Rational and Irrational Numbers Chater 7 Rational and Irrational Numbers In this chater we first review the real line model for numbers, as discussed in Chater 2 of seventh grade, by recalling how the integers and then the rational numbers

More information

Find the equation of a plane perpendicular to the line x = 2t + 1, y = 3t + 4, z = t 1 and passing through the point (2, 1, 3).

Find the equation of a plane perpendicular to the line x = 2t + 1, y = 3t + 4, z = t 1 and passing through the point (2, 1, 3). CME 100 Midterm Solutions - Fall 004 1 CME 100 - Midterm Solutions - Fall 004 Problem 1 Find the equation of a lane erendicular to the line x = t + 1, y = 3t + 4, z = t 1 and assing through the oint (,

More information

Convex Optimization methods for Computing Channel Capacity

Convex Optimization methods for Computing Channel Capacity Convex Otimization methods for Comuting Channel Caacity Abhishek Sinha Laboratory for Information and Decision Systems (LIDS), MIT sinhaa@mit.edu May 15, 2014 We consider a classical comutational roblem

More information

Quadratic Reciprocity

Quadratic Reciprocity Quadratic Recirocity 5-7-011 Quadratic recirocity relates solutions to x = (mod to solutions to x = (mod, where and are distinct odd rimes. The euations are oth solvale or oth unsolvale if either or has

More information

Week 8 lectures. ρ t +u ρ+ρ u = 0. where µ and λ are viscosity and second viscosity coefficients, respectively and S is the strain tensor:

Week 8 lectures. ρ t +u ρ+ρ u = 0. where µ and λ are viscosity and second viscosity coefficients, respectively and S is the strain tensor: Week 8 lectures. Equations for motion of fluid without incomressible assumtions Recall from week notes, the equations for conservation of mass and momentum, derived generally without any incomressibility

More information

DIRICHLET S THEOREM ABOUT PRIMES IN ARITHMETIC PROGRESSIONS. Contents. 1. Dirichlet s theorem on arithmetic progressions

DIRICHLET S THEOREM ABOUT PRIMES IN ARITHMETIC PROGRESSIONS. Contents. 1. Dirichlet s theorem on arithmetic progressions DIRICHLET S THEOREM ABOUT PRIMES IN ARITHMETIC PROGRESSIONS ANG LI Abstract. Dirichlet s theorem states that if q and l are two relatively rime ositive integers, there are infinitely many rimes of the

More information

Multiplicative group law on the folium of Descartes

Multiplicative group law on the folium of Descartes Multilicative grou law on the folium of Descartes Steluţa Pricoie and Constantin Udrişte Abstract. The folium of Descartes is still studied and understood today. Not only did it rovide for the roof of

More information

Supplementary Materials for Robust Estimation of the False Discovery Rate

Supplementary Materials for Robust Estimation of the False Discovery Rate Sulementary Materials for Robust Estimation of the False Discovery Rate Stan Pounds and Cheng Cheng This sulemental contains roofs regarding theoretical roerties of the roosed method (Section S1), rovides

More information

2016-r1 Physics 220: Worksheet 02 Name

2016-r1 Physics 220: Worksheet 02 Name 06-r Physics 0: Worksheet 0 Name Concets: Electric Field, lines of force, charge density, diole moment, electric diole () An equilateral triangle with each side of length 0.0 m has identical charges of

More information

MA1131 Lecture 15 (2 & 3/12/2010) 77. dx dx v + udv dx. (uv) = v du dx dx + dx dx dx

MA1131 Lecture 15 (2 & 3/12/2010) 77. dx dx v + udv dx. (uv) = v du dx dx + dx dx dx MA3 Lecture 5 ( & 3//00) 77 0.3. Integration by parts If we integrate both sides of the proct rule we get d (uv) dx = dx or uv = d (uv) = dx dx v + udv dx v dx dx + v dx dx + u dv dx dx u dv dx dx This

More information

Almost 4000 years ago, Babylonians had discovered the following approximation to. x 2 dy 2 =1, (5.0.2)

Almost 4000 years ago, Babylonians had discovered the following approximation to. x 2 dy 2 =1, (5.0.2) Chater 5 Pell s Equation One of the earliest issues graled with in number theory is the fact that geometric quantities are often not rational. For instance, if we take a right triangle with two side lengths

More information

ε i (E j )=δj i = 0, if i j, form a basis for V, called the dual basis to (E i ). Therefore, dim V =dim V.

ε i (E j )=δj i = 0, if i j, form a basis for V, called the dual basis to (E i ). Therefore, dim V =dim V. Covectors Definition. Let V be a finite-dimensional vector sace. A covector on V is real-valued linear functional on V, that is, a linear ma ω : V R. The sace of all covectors on V is itself a real vector

More information

ATM The thermal wind Fall, 2016 Fovell

ATM The thermal wind Fall, 2016 Fovell ATM 316 - The thermal wind Fall, 2016 Fovell Reca and isobaric coordinates We have seen that for the synotic time and sace scales, the three leading terms in the horizontal equations of motion are du dt

More information

Trigonometric Identities

Trigonometric Identities Trigonometric Identities An identity is an equation that is satis ed by all the values of the variable(s) in the equation. We have already introduced the following: (a) tan x (b) sec x (c) csc x (d) cot

More information

Split the integral into two: [0,1] and (1, )

Split the integral into two: [0,1] and (1, ) . A continuous random variable X has the iecewise df f( ) 0, 0, 0, where 0 is a ositive real number. - (a) For any real number such that 0, rove that the eected value of h( X ) X is E X. (0 ts) Solution:

More information

Numerical Methods for Particle Tracing in Vector Fields

Numerical Methods for Particle Tracing in Vector Fields On-Line Visualization Notes Numerical Methods for Particle Tracing in Vector Fields Kenneth I. Joy Visualization and Grahics Research Laboratory Deartment of Comuter Science University of California, Davis

More information

Good Things about the Gudermannian. A Series Illustrating Innovative Forms of the Organization & Exposition of Mathematics by Walter Gottschalk

Good Things about the Gudermannian. A Series Illustrating Innovative Forms of the Organization & Exposition of Mathematics by Walter Gottschalk Good Things about the Gudermannian #88 of Gottschalk s Gestalts A Series Illustrating Innovative Forms of the Organization & Eosition of Mathematics by Walter Gottschalk Infinite Vistas Press PVD RI 003

More information

Solutions 4: Free Quantum Field Theory

Solutions 4: Free Quantum Field Theory QFT PS4 Solutions: Free Quantum Field Theory 8//8 Solutions 4: Free Quantum Field Theory. Heisenberg icture free real scalar field We have φt, x π 3 a e iωt+i x + a e iωt i x ω i By taking an exlicit hermitian

More information

Rotations in Curved Trajectories for Unconstrained Minimization

Rotations in Curved Trajectories for Unconstrained Minimization Rotations in Curved rajectories for Unconstrained Minimization Alberto J Jimenez Mathematics Deartment, California Polytechnic University, San Luis Obiso, CA, USA 9407 Abstract Curved rajectories Algorithm

More information

Practice Differentiation Math 120 Calculus I Fall 2015

Practice Differentiation Math 120 Calculus I Fall 2015 . x. Hint.. (4x 9) 4x + 9. Hint. Practice Differentiation Math 0 Calculus I Fall 0 The rules of differentiation are straightforward, but knowing when to use them and in what order takes practice. Although

More information

Predator - Prey Model Trajectories and the nonlinear conservation law

Predator - Prey Model Trajectories and the nonlinear conservation law Predator - Prey Model Trajectories and the nonlinear conservation law James K. Peterson Department of Biological Sciences and Department of Mathematical Sciences Clemson University October 28, 2013 Outline

More information

Liquid water static energy page 1/8

Liquid water static energy page 1/8 Liquid water static energy age 1/8 1) Thermodynamics It s a good idea to work with thermodynamic variables that are conserved under a known set of conditions, since they can act as assive tracers and rovide

More information

for 2 1/3 < t 3 1/3 parametrizes

for 2 1/3 < t 3 1/3 parametrizes Solution to Set 4, due Friday April 1) Section 5.1, Problem ) Explain why the path parametrized by ft) = t, t 1 ) is not smooth. Note this is true more specifically if the interval of t contains t = 1

More information

Chemical Kinetics and Equilibrium - An Overview - Key

Chemical Kinetics and Equilibrium - An Overview - Key Chemical Kinetics and Equilibrium - An Overview - Key The following questions are designed to give you an overview of the toics of chemical kinetics and chemical equilibrium. Although not comrehensive,

More information

ANALYTIC NUMBER THEORY AND DIRICHLET S THEOREM

ANALYTIC NUMBER THEORY AND DIRICHLET S THEOREM ANALYTIC NUMBER THEORY AND DIRICHLET S THEOREM JOHN BINDER Abstract. In this aer, we rove Dirichlet s theorem that, given any air h, k with h, k) =, there are infinitely many rime numbers congruent to

More information

Advanced Calculus I. Part A, for both Section 200 and Section 501

Advanced Calculus I. Part A, for both Section 200 and Section 501 Sring 2 Instructions Please write your solutions on your own aer. These roblems should be treated as essay questions. A roblem that says give an examle requires a suorting exlanation. In all roblems, you

More information

ISOSCELES TRIANGLES IN Q 3. Matt Noble Department of Mathematics, Middle Georgia State University, Macon, Georgia

ISOSCELES TRIANGLES IN Q 3. Matt Noble Department of Mathematics, Middle Georgia State University, Macon, Georgia #A9 INTEGERS 18 (2018) ISOSCELES TRIANGLES IN Q Matt Noble Deartment of Mathematics, Middle Georgia State University, Macon, Georgia matthew.noble@mga.edu Received: 7/2/17, Acceted: 2//18, Published: 2/19/18

More information

PHYSICS 301/MATH 355 HOMEWORK #8

PHYSICS 301/MATH 355 HOMEWORK #8 PHYSICS 3/MATH 355 HOMEWORK #8 Solutions Question # We consider the integral : where m and n are both integers. We can evaluate this integral : Integrate@Cos@m xd Cos@n xd, 8x, π, π

More information

8.7 Associated and Non-associated Flow Rules

8.7 Associated and Non-associated Flow Rules 8.7 Associated and Non-associated Flow Rules Recall the Levy-Mises flow rule, Eqn. 8.4., d ds (8.7.) The lastic multilier can be determined from the hardening rule. Given the hardening rule one can more

More information

FERMAT S LAST THEOREM

FERMAT S LAST THEOREM FERMAT S LAST THEOREM REVISITED AGAIN Colin Newton 8/0/08 0 FERMAT S LAST THEOREM When Fermat wrote a note in the margin of his coy of Bachet s Arithmetica to the effect that he had a marvellous roof that

More information

Chapter 7 FORCES IN BEAMS AND CABLES

Chapter 7 FORCES IN BEAMS AND CABLES hapter 7 FORES IN BEAMS AN ABLES onsider a straight two-force member AB subjected at A and B to equal and opposite forces F and -F directed along AB. utting the member AB at and drawing the free-body B

More information

POINTS ON CONICS MODULO p

POINTS ON CONICS MODULO p POINTS ON CONICS MODULO TEAM 2: JONGMIN BAEK, ANAND DEOPURKAR, AND KATHERINE REDFIELD Abstract. We comute the number of integer oints on conics modulo, where is an odd rime. We extend our results to conics

More information

Convex Analysis and Economic Theory Winter 2018

Convex Analysis and Economic Theory Winter 2018 Division of the Humanities and Social Sciences Ec 181 KC Border Conve Analysis and Economic Theory Winter 2018 Toic 16: Fenchel conjugates 16.1 Conjugate functions Recall from Proosition 14.1.1 that is

More information

dn i where we have used the Gibbs equation for the Gibbs energy and the definition of chemical potential

dn i where we have used the Gibbs equation for the Gibbs energy and the definition of chemical potential Chem 467 Sulement to Lectures 33 Phase Equilibrium Chemical Potential Revisited We introduced the chemical otential as the conjugate variable to amount. Briefly reviewing, the total Gibbs energy of a system

More information

Topic 7: Using identity types

Topic 7: Using identity types Toic 7: Using identity tyes June 10, 2014 Now we would like to learn how to use identity tyes and how to do some actual mathematics with them. By now we have essentially introduced all inference rules

More information

Pseudorandom Sequence Generation

Pseudorandom Sequence Generation YALE UNIVERSITY DEPARTMENT OF COMPUTER SCIENCE CPSC 467a: Crytograhy and Comuter Security Handout #21 Professor M. J. Fischer November 29, 2005 Pseudorandom Seuence Generation 1 Distinguishability and

More information

Minimal Surfaces in R 3

Minimal Surfaces in R 3 Minimal Suaces in R 3 AJ Vargas May 10, 018 1 Introduction The goal of this note is to give a brief introduction to the theory of minimal suaces in R 3, and to show how one would go about generalizing

More information

Handout #3: Peak Load Pricing

Handout #3: Peak Load Pricing andout #3: Peak Load Pricing Consider a firm that exeriences two kinds of costs a caacity cost and a marginal cost ow should caacity be riced? This issue is alicable to a wide variety of industries, including

More information

First law of thermodynamics (Jan 12, 2016) page 1/7. Here are some comments on the material in Thompkins Chapter 1

First law of thermodynamics (Jan 12, 2016) page 1/7. Here are some comments on the material in Thompkins Chapter 1 First law of thermodynamics (Jan 12, 2016) age 1/7 Here are some comments on the material in Thomkins Chater 1 1) Conservation of energy Adrian Thomkins (eq. 1.9) writes the first law as: du = d q d w

More information

Automatic Generation and Integration of Equations of Motion for Linked Mechanical Systems

Automatic Generation and Integration of Equations of Motion for Linked Mechanical Systems Automatic Generation and Integration of Equations of Motion for Linked Mechanical Systems D. Todd Griffith a, John L. Junkins a, and James D. Turner b a Deartment of Aerosace Engineering, Texas A&M University,

More information

Measuring center and spread for density curves. Calculating probabilities using the standard Normal Table (CIS Chapter 8, p 105 mainly p114)

Measuring center and spread for density curves. Calculating probabilities using the standard Normal Table (CIS Chapter 8, p 105 mainly p114) Objectives Density curves Measuring center and sread for density curves Normal distributions The 68-95-99.7 (Emirical) rule Standardizing observations Calculating robabilities using the standard Normal

More information

Math 205A - Fall 2015 Homework #4 Solutions

Math 205A - Fall 2015 Homework #4 Solutions Math 25A - Fall 25 Homework #4 Solutions Problem : Let f L and µ(t) = m{x : f(x) > t} the distribution function of f. Show that: (i) µ(t) t f L (). (ii) f L () = t µ(t)dt. (iii) For any increasing differentiable

More information

MATH 361: NUMBER THEORY EIGHTH LECTURE

MATH 361: NUMBER THEORY EIGHTH LECTURE MATH 361: NUMBER THEORY EIGHTH LECTURE 1. Quadratic Recirocity: Introduction Quadratic recirocity is the first result of modern number theory. Lagrange conjectured it in the late 1700 s, but it was first

More information

Strong Matching of Points with Geometric Shapes

Strong Matching of Points with Geometric Shapes Strong Matching of Points with Geometric Shaes Ahmad Biniaz Anil Maheshwari Michiel Smid School of Comuter Science, Carleton University, Ottawa, Canada December 9, 05 In memory of Ferran Hurtado. Abstract

More information

Participation Factors. However, it does not give the influence of each state on the mode.

Participation Factors. However, it does not give the influence of each state on the mode. Particiation Factors he mode shae, as indicated by the right eigenvector, gives the relative hase of each state in a articular mode. However, it does not give the influence of each state on the mode. We

More information

Calculus of Variations Summer Term 2015

Calculus of Variations Summer Term 2015 Calculus of Variations Summer Term 2015 Lecture 12 Universität des Saarlandes 17. Juni 2015 c Daria Apushkinskaya (UdS) Calculus of variations lecture 12 17. Juni 2015 1 / 31 Purpose of Lesson Purpose

More information

Meshless Methods for Scientific Computing Final Project

Meshless Methods for Scientific Computing Final Project Meshless Methods for Scientific Comuting Final Project D0051008 洪啟耀 Introduction Floating island becomes an imortant study in recent years, because the lands we can use are limit, so eole start thinking

More information

Panos Kouvelis Olin School of Business Washington University

Panos Kouvelis Olin School of Business Washington University Quality-Based Cometition, Profitability, and Variable Costs Chester Chambers Co Shool of Business Dallas, TX 7575 hamber@mailosmuedu -768-35 Panos Kouvelis Olin Shool of Business Washington University

More information

3 Algebraic Methods. we can differentiate both sides implicitly to obtain a differential equation involving x and y:

3 Algebraic Methods. we can differentiate both sides implicitly to obtain a differential equation involving x and y: 3 Algebraic Methods b The first appearance of the equation E Mc 2 in Einstein s handwritten notes. So far, the only general class of differential equations that we know how to solve are directly integrable

More information

Math 5330 Spring Notes Prime Numbers

Math 5330 Spring Notes Prime Numbers Math 5330 Sring 208 Notes Prime Numbers The study of rime numbers is as old as mathematics itself. This set of notes has a bunch of facts about rimes, or related to rimes. Much of this stuff is old dating

More information

Solutions to Assignment #02 MATH u v p 59. p 72. h 3; 1; 2i h4; 2; 5i p 14. p 45. = cos 1 2 p!

Solutions to Assignment #02 MATH u v p 59. p 72. h 3; 1; 2i h4; 2; 5i p 14. p 45. = cos 1 2 p! Solutions to Assignment #0 MATH 41 Kawai/Arangno/Vecharynski Section 1. (I) Comlete Exercises #1cd on. 810. searation to TWO decimal laces. So do NOT leave the nal answer as cos 1 (something) : (c) The

More information

Math 121: Calculus 1 - Fall 2012/2013 Review of Precalculus Concepts

Math 121: Calculus 1 - Fall 2012/2013 Review of Precalculus Concepts Introduction Math : Calculus - Fall 0/0 Review of Precalculus Concets Welcome to Math - Calculus, Fall 0/0! This roblems in this acket are designed to hel you review the toics from Algebra and Precalculus

More information