Moment of Inertia of an Equilateral Triangle with Pivot at one Vertex

Size: px
Start display at page:

Download "Moment of Inertia of an Equilateral Triangle with Pivot at one Vertex"

Transcription

1 oment of nertia of an Equilateral Triangle with Pivot at one Vertex There are two wa (at leat) to derive the expreion f an equilateral triangle that i rotated about one vertex, and ll how ou both here. One wa i direct: divide the triangle into hizontal trip, write the expreion f the moment of inertia of one trip, and integrate the expreion to get the um of moment of inertia of all the trip (i.e. the entire triangle.) The econd wa i ver clever and i much hter. Sometime a bit of thinking can help u ee a hter wa to olve a problem. The onl danger i that a hter route to a olution tpicall involve ome logic, and if one tep in the logic i fault the entire olution end up increct. Ftunatel, the logic we need f thi problem i prett imple. And now, without further ado... The long, direct wa (which wk f an ituation): Conider the thin hizontal trip in the triangle below. The trip ha width w and height d. ve defined the -axi to go from 0 at the top of the triangle (at the pivot) to at the bottom of the triangle. So the ditance from the pivot to the center of the trip i impl. Note that each hizontal trip of the triangle will have a different and a different width w.

2 ve alo defined the ma of the trip a dm. We can connect d and dm b recognizing that: ma of trip / ma of triangle area of trip / area of triangle dm / w d / (/) (Note that the bae of the triangle i, the length of the ide.) w d dm We will ue thi below when we write the expreion f the moment of inertia of the trip. We can alo make two me connection (which we will need later): Connect to Thi i a imple matter of uing either the left half right half of the big triangle. The lower angle in each cner i 60 degree, o: in60 O / Connect w to Thi one i alo imple: ue a triangle created b and either the left right half of the trip. The angle in the upper cner i 0 degree, o: tan0 O (w/) / w Notice that if ou ue thee two expreion together, when, w equal... jut a it hould (i.e. the width of the triangle at the bottom i the length of the ide.) Now we can write the moment of inertia of the trip a it i rotated about the pivot at the top. Uing the parallel axi theem (the ame thing we did to derive the moment of inertia f the rectangle in lab): d dm w + dm f we replace dm d w d w with the appropriate expreion: w d + w d + 6 w d

3 And then replace w with it expreion: d d d d d Note that both term include a contant with d. We can implif the expreion with a bit of facting: d d d d Now we can add the d f all the hizontal trip that make up the triangle. Note that the trip tart at 0 and end at, o: d We re almot done! We want to expre the moment of inertia uing, the ma of the triangle, and, the length of the ide of the triangle. Which mean we need to replace in our expreion uing the connection we wrote earlier f and : Or: oment of inertia f an equilateral triangle rotated about one cner And that it! Notice how the final expreion came out ver imilar to the expreion that we ued f the quare in lab. thi coincidence? Ye and no: obvioul triangle and quare hare ome of the ame geometr, and the definition we ued f both are imilar; but remember that the pivot we ued f the quare in lab wa arbitrar (i.e. choe it to be a ditance of / from the center.) So there i ome coincidence involved here. And now the hter, clever wa... The big equilateral triangle can be divided into four maller equilateral triangle, a hown in the figure below. 5

4 The center of ma of each triangle i hown b the blue dot. Note that the center of ma of the central triangle i alo the center of ma of the big triangle. The ide length of each mall triangle i /, a hown. And the ditance from the center of ma of the big triangle to it pivot i d. We can firt write d in term of. We can ue the triangle haded in green on the picture to write that: co0 O (/) / x x Recall that, from the earlier derivation, the height of the triangle i Then we can write that d - x So: d Now f the clever part: the ma of each mall triangle i onl one-fourth the ma of the big triangle. And the ide length of the mall triangle i onl half the ide length of the big triangle. We know that the moment of inertia of the big triangle, if it wa rotated about it center of ma, mut be the ame expreion a that of each mall triangle... but appropriatel caled f it ma and ize dimenion.

5 Since moment of inertia i proptionate to the ma of an object and proptionate to the quare of the linear dimenion, we know that Due to the ma, f the big triangle mut be four time a much a the f the mall triangle and due to the length of ide, f the big triangle mut be four time a much a the f the mall triangle. Thi mean that due to both fact, big 6 mall Thi expreion impl recognize how the ize of the triangle affect moment of inertia. But now we can alo write how the four mall triangle together mut equal the big triangle! But we have to be careful: our mall i the moment of inertia f a mall triangle if it i rotated about it own center of ma. Three of the four mall triangle are not rotated about their own center of ma, o we mut ue the parallel axi theem f thee three: big four mall plu additional f three triangle uing parallel axi theem Recall that the additional f the parallel axi theem i the ma of the object time the ditance from it center of ma to the center of rotation quared. Note that thi ditance in the picture i two time z (the pink line). We can find z in term of, then double it and then ue thi ditance in our expreion f the moment of inertia: z x 6 6 So the ditance we want i twice thi, : And now: big mall + m mall + mall + 6

6 Next, we can replace mall with the connection we developed above: big big mall + + big + 6 Now ubtract ¼ big from each ide, and then olve f big : big 6 big Note that thi i the moment of inertia of the big triangle if it i rotated about it center. Alo note that we didn t have to ue an integral to get it... we impl ued a geometr argument to relate the mall and big triangle. Alo note... thi onl wked becaue we could contruct the large triangle from identical maller triangle! We have one me tep: ince we want to place the pivot f our big triangle at the top cner, we need to ue the parallel axi theem to get the expreion f the moment of inertia about that pivot. pivot big + d pivot + + : oment of inertia f an equilateral triangle rotated about one cner 5 Of coure we arrive at the ame expreion a we did uing the firt method. Thi econd method i ueful f two reaon: it help to confirm that our expreion i probabl crect, ince we derived it two completel different wa and got the ame reult; and it demontrate a different wa (other than the direct wa) of deriving a moment of inertia expreion.

Correction for Simple System Example and Notes on Laplace Transforms / Deviation Variables ECHE 550 Fall 2002

Correction for Simple System Example and Notes on Laplace Transforms / Deviation Variables ECHE 550 Fall 2002 Correction for Simple Sytem Example and Note on Laplace Tranform / Deviation Variable ECHE 55 Fall 22 Conider a tank draining from an initial height of h o at time t =. With no flow into the tank (F in

More information

Dimensional Analysis A Tool for Guiding Mathematical Calculations

Dimensional Analysis A Tool for Guiding Mathematical Calculations Dimenional Analyi A Tool for Guiding Mathematical Calculation Dougla A. Kerr Iue 1 February 6, 2010 ABSTRACT AND INTRODUCTION In converting quantitie from one unit to another, we may know the applicable

More information

4-4 E-field Calculations using Coulomb s Law

4-4 E-field Calculations using Coulomb s Law 1/21/24 ection 4_4 -field calculation uing Coulomb Law blank.doc 1/1 4-4 -field Calculation uing Coulomb Law Reading Aignment: pp. 9-98 1. xample: The Uniform, Infinite Line Charge 2. xample: The Uniform

More information

Solutions to homework #10

Solutions to homework #10 Solution to homework #0 Problem 7..3 Compute 6 e 3 t t t 8. The firt tep i to ue the linearity of the Laplace tranform to ditribute the tranform over the um and pull the contant factor outide the tranform.

More information

V = 4 3 πr3. d dt V = d ( 4 dv dt. = 4 3 π d dt r3 dv π 3r2 dv. dt = 4πr 2 dr

V = 4 3 πr3. d dt V = d ( 4 dv dt. = 4 3 π d dt r3 dv π 3r2 dv. dt = 4πr 2 dr 0.1 Related Rate In many phyical ituation we have a relationhip between multiple quantitie, and we know the rate at which one of the quantitie i changing. Oftentime we can ue thi relationhip a a convenient

More information

Laplace Transformation

Laplace Transformation Univerity of Technology Electromechanical Department Energy Branch Advance Mathematic Laplace Tranformation nd Cla Lecture 6 Page of 7 Laplace Tranformation Definition Suppoe that f(t) i a piecewie continuou

More information

Math Skills. Scientific Notation. Uncertainty in Measurements. Appendix A5 SKILLS HANDBOOK

Math Skills. Scientific Notation. Uncertainty in Measurements. Appendix A5 SKILLS HANDBOOK ppendix 5 Scientific Notation It i difficult to work with very large or very mall number when they are written in common decimal notation. Uually it i poible to accommodate uch number by changing the SI

More information

Physics 2212 G Quiz #2 Solutions Spring 2018

Physics 2212 G Quiz #2 Solutions Spring 2018 Phyic 2212 G Quiz #2 Solution Spring 2018 I. (16 point) A hollow inulating phere ha uniform volume charge denity ρ, inner radiu R, and outer radiu 3R. Find the magnitude of the electric field at a ditance

More information

Chapter 4. The Laplace Transform Method

Chapter 4. The Laplace Transform Method Chapter 4. The Laplace Tranform Method The Laplace Tranform i a tranformation, meaning that it change a function into a new function. Actually, it i a linear tranformation, becaue it convert a linear combination

More information

Fair Game Review. Chapter 6 A B C D E Complete the number sentence with <, >, or =

Fair Game Review. Chapter 6 A B C D E Complete the number sentence with <, >, or = Name Date Chapter 6 Fair Game Review Complete the number entence with , or =. 1..4.45. 6.01 6.1..50.5 4. 0.84 0.91 Find three decimal that make the number entence true. 5. 5. 6..65 > 7..18 8. 0.0

More information

DIFFERENTIAL EQUATIONS

DIFFERENTIAL EQUATIONS DIFFERENTIAL EQUATIONS Laplace Tranform Paul Dawkin Table of Content Preface... Laplace Tranform... Introduction... The Definition... 5 Laplace Tranform... 9 Invere Laplace Tranform... Step Function...4

More information

Practice Problems - Week #7 Laplace - Step Functions, DE Solutions Solutions

Practice Problems - Week #7 Laplace - Step Functions, DE Solutions Solutions For Quetion -6, rewrite the piecewie function uing tep function, ketch their graph, and find F () = Lf(t). 0 0 < t < 2. f(t) = (t 2 4) 2 < t In tep-function form, f(t) = u 2 (t 2 4) The graph i the olid

More information

into a discrete time function. Recall that the table of Laplace/z-transforms is constructed by (i) selecting to get

into a discrete time function. Recall that the table of Laplace/z-transforms is constructed by (i) selecting to get Lecture 25 Introduction to Some Matlab c2d Code in Relation to Sampled Sytem here are many way to convert a continuou time function, { h( t) ; t [0, )} into a dicrete time function { h ( k) ; k {0,,, }}

More information

Linear Motion, Speed & Velocity

Linear Motion, Speed & Velocity Add Important Linear Motion, Speed & Velocity Page: 136 Linear Motion, Speed & Velocity NGSS Standard: N/A MA Curriculum Framework (006): 1.1, 1. AP Phyic 1 Learning Objective: 3.A.1.1, 3.A.1.3 Knowledge/Undertanding

More information

ME 375 EXAM #1 Tuesday February 21, 2006

ME 375 EXAM #1 Tuesday February 21, 2006 ME 375 EXAM #1 Tueday February 1, 006 Diviion Adam 11:30 / Savran :30 (circle one) Name Intruction (1) Thi i a cloed book examination, but you are allowed one 8.5x11 crib heet. () You have one hour to

More information

Department of Mechanical Engineering Massachusetts Institute of Technology Modeling, Dynamics and Control III Spring 2002

Department of Mechanical Engineering Massachusetts Institute of Technology Modeling, Dynamics and Control III Spring 2002 Department of Mechanical Engineering Maachuett Intitute of Technology 2.010 Modeling, Dynamic and Control III Spring 2002 SOLUTIONS: Problem Set # 10 Problem 1 Etimating tranfer function from Bode Plot.

More information

Fair Game Review. Chapter 7 A B C D E Name Date. Complete the number sentence with <, >, or =

Fair Game Review. Chapter 7 A B C D E Name Date. Complete the number sentence with <, >, or = Name Date Chapter 7 Fair Game Review Complete the number entence with , or =. 1. 3.4 3.45 2. 6.01 6.1 3. 3.50 3.5 4. 0.84 0.91 Find three decimal that make the number entence true. 5. 5.2 6. 2.65 >

More information

DIFFERENTIAL EQUATIONS Laplace Transforms. Paul Dawkins

DIFFERENTIAL EQUATIONS Laplace Transforms. Paul Dawkins DIFFERENTIAL EQUATIONS Laplace Tranform Paul Dawkin Table of Content Preface... Laplace Tranform... Introduction... The Definition... 5 Laplace Tranform... 9 Invere Laplace Tranform... Step Function...

More information

Social Studies 201 Notes for November 14, 2003

Social Studies 201 Notes for November 14, 2003 1 Social Studie 201 Note for November 14, 2003 Etimation of a mean, mall ample ize Section 8.4, p. 501. When a reearcher ha only a mall ample ize available, the central limit theorem doe not apply to the

More information

Sample Problems. Lecture Notes Related Rates page 1

Sample Problems. Lecture Notes Related Rates page 1 Lecture Note Related Rate page 1 Sample Problem 1. A city i of a circular hape. The area of the city i growing at a contant rate of mi y year). How fat i the radiu growing when it i exactly 15 mi? (quare

More information

Example: Amplifier Distortion

Example: Amplifier Distortion 4/6/2011 Example Amplifier Ditortion 1/9 Example: Amplifier Ditortion Recall thi circuit from a previou handout: 15.0 R C =5 K v ( t) = v ( t) o R B =5 K β = 100 _ vi( t ) 58. R E =5 K CUS We found that

More information

Social Studies 201 Notes for March 18, 2005

Social Studies 201 Notes for March 18, 2005 1 Social Studie 201 Note for March 18, 2005 Etimation of a mean, mall ample ize Section 8.4, p. 501. When a reearcher ha only a mall ample ize available, the central limit theorem doe not apply to the

More information

Lecture 17: Analytic Functions and Integrals (See Chapter 14 in Boas)

Lecture 17: Analytic Functions and Integrals (See Chapter 14 in Boas) Lecture 7: Analytic Function and Integral (See Chapter 4 in Boa) Thi i a good point to take a brief detour and expand on our previou dicuion of complex variable and complex function of complex variable.

More information

Lecture 21. The Lovasz splitting-off lemma Topics in Combinatorial Optimization April 29th, 2004

Lecture 21. The Lovasz splitting-off lemma Topics in Combinatorial Optimization April 29th, 2004 18.997 Topic in Combinatorial Optimization April 29th, 2004 Lecture 21 Lecturer: Michel X. Goeman Scribe: Mohammad Mahdian 1 The Lovaz plitting-off lemma Lovaz plitting-off lemma tate the following. Theorem

More information

Solving Radical Equations

Solving Radical Equations 10. Solving Radical Equation Eential Quetion How can you olve an equation that contain quare root? Analyzing a Free-Falling Object MODELING WITH MATHEMATICS To be proficient in math, you need to routinely

More information

7.2 INVERSE TRANSFORMS AND TRANSFORMS OF DERIVATIVES 281

7.2 INVERSE TRANSFORMS AND TRANSFORMS OF DERIVATIVES 281 72 INVERSE TRANSFORMS AND TRANSFORMS OF DERIVATIVES 28 and i 2 Show how Euler formula (page 33) can then be ued to deduce the reult a ( a) 2 b 2 {e at co bt} {e at in bt} b ( a) 2 b 2 5 Under what condition

More information

Eigenvalues and eigenvectors

Eigenvalues and eigenvectors Eigenvalue and eigenvector Defining and computing uggeted problem olution For each matri give below, find eigenvalue and eigenvector. Give a bai and the dimenion of the eigenpace for each eigenvalue. P:

More information

Adder Circuits Ivor Page 1

Adder Circuits Ivor Page 1 Adder Circuit Adder Circuit Ivor Page 4. The Ripple Carr Adder The ripple carr adder i probabl the implet parallel binar adder. It i made up of k full-adder tage, where each full-adder can be convenientl

More information

online learning Unit Workbook 4 RLC Transients

online learning Unit Workbook 4 RLC Transients online learning Pearon BTC Higher National in lectrical and lectronic ngineering (QCF) Unit 5: lectrical & lectronic Principle Unit Workbook 4 in a erie of 4 for thi unit Learning Outcome: RLC Tranient

More information

Solving Differential Equations by the Laplace Transform and by Numerical Methods

Solving Differential Equations by the Laplace Transform and by Numerical Methods 36CH_PHCalter_TechMath_95099 3//007 :8 PM Page Solving Differential Equation by the Laplace Tranform and by Numerical Method OBJECTIVES When you have completed thi chapter, you hould be able to: Find the

More information

The machines in the exercise work as follows:

The machines in the exercise work as follows: Tik-79.148 Spring 2001 Introduction to Theoretical Computer Science Tutorial 9 Solution to Demontration Exercie 4. Contructing a complex Turing machine can be very laboriou. With the help of machine chema

More information

Physics 2. Angular Momentum. Prepared by Vince Zaccone For Campus Learning Assistance Services at UCSB

Physics 2. Angular Momentum. Prepared by Vince Zaccone For Campus Learning Assistance Services at UCSB Phyic Angular Momentum For Campu earning Angular Momentum Thi i the rotational equivalent of linear momentum. t quantifie the momentum of a rotating object, or ytem of object. To get the angular momentum,

More information

Lecture 8: Period Finding: Simon s Problem over Z N

Lecture 8: Period Finding: Simon s Problem over Z N Quantum Computation (CMU 8-859BB, Fall 205) Lecture 8: Period Finding: Simon Problem over Z October 5, 205 Lecturer: John Wright Scribe: icola Rech Problem A mentioned previouly, period finding i a rephraing

More information

Physics 161: Problem Set 2 - SOLUTIONS

Physics 161: Problem Set 2 - SOLUTIONS Phyic 161: Problem Set 2 - SOLUTIONS April 7, 2010 1 (1 pt. each). Scientific notation and calculation (a) (4 10 3 ) (2 10 5 ) = 8 10 8 (b) (4 10 3 ) (2 10 5 ) = 2 10 2 = 0.02 (c) (5 10 3 ) (4 10 5 ) (0.3)

More information

Nonlinear Single-Particle Dynamics in High Energy Accelerators

Nonlinear Single-Particle Dynamics in High Energy Accelerators Nonlinear Single-Particle Dynamic in High Energy Accelerator Part 6: Canonical Perturbation Theory Nonlinear Single-Particle Dynamic in High Energy Accelerator Thi coure conit of eight lecture: 1. Introduction

More information

PROBABILITY AND STATISTICS. Least Squares Regression

PROBABILITY AND STATISTICS. Least Squares Regression PROBABILITY AND STATISTICS Leat Square Regreion LEAST-SQUARES REGRESSION What doe correlation give u? If a catterplot how a linear relationhip one wa to ummarize the overall pattern of the catterplot i

More information

Riemann s Functional Equation is Not Valid and its Implication on the Riemann Hypothesis. Armando M. Evangelista Jr.

Riemann s Functional Equation is Not Valid and its Implication on the Riemann Hypothesis. Armando M. Evangelista Jr. Riemann Functional Equation i Not Valid and it Implication on the Riemann Hypothei By Armando M. Evangelita Jr. On November 4, 28 ABSTRACT Riemann functional equation wa formulated by Riemann that uppoedly

More information

(3) A bilinear map B : S(R n ) S(R m ) B is continuous (for the product topology) if and only if there exist C, N and M such that

(3) A bilinear map B : S(R n ) S(R m ) B is continuous (for the product topology) if and only if there exist C, N and M such that The material here can be found in Hörmander Volume 1, Chapter VII but he ha already done almot all of ditribution theory by thi point(!) Johi and Friedlander Chapter 8. Recall that S( ) i a complete metric

More information

Clustering Methods without Given Number of Clusters

Clustering Methods without Given Number of Clusters Clutering Method without Given Number of Cluter Peng Xu, Fei Liu Introduction A we now, mean method i a very effective algorithm of clutering. It mot powerful feature i the calability and implicity. However,

More information

Lecture 7: Testing Distributions

Lecture 7: Testing Distributions CSE 5: Sublinear (and Streaming) Algorithm Spring 014 Lecture 7: Teting Ditribution April 1, 014 Lecturer: Paul Beame Scribe: Paul Beame 1 Teting Uniformity of Ditribution We return today to property teting

More information

Constant Force: Projectile Motion

Constant Force: Projectile Motion Contant Force: Projectile Motion Abtract In thi lab, you will launch an object with a pecific initial velocity (magnitude and direction) and determine the angle at which the range i a maximum. Other tak,

More information

Source slideplayer.com/fundamentals of Analytical Chemistry, F.J. Holler, S.R.Crouch. Chapter 6: Random Errors in Chemical Analysis

Source slideplayer.com/fundamentals of Analytical Chemistry, F.J. Holler, S.R.Crouch. Chapter 6: Random Errors in Chemical Analysis Source lideplayer.com/fundamental of Analytical Chemitry, F.J. Holler, S.R.Crouch Chapter 6: Random Error in Chemical Analyi Random error are preent in every meaurement no matter how careful the experimenter.

More information

Lecture 9: Shor s Algorithm

Lecture 9: Shor s Algorithm Quantum Computation (CMU 8-859BB, Fall 05) Lecture 9: Shor Algorithm October 7, 05 Lecturer: Ryan O Donnell Scribe: Sidhanth Mohanty Overview Let u recall the period finding problem that wa et up a a function

More information

Introduction to Laplace Transform Techniques in Circuit Analysis

Introduction to Laplace Transform Techniques in Circuit Analysis Unit 6 Introduction to Laplace Tranform Technique in Circuit Analyi In thi unit we conider the application of Laplace Tranform to circuit analyi. A relevant dicuion of the one-ided Laplace tranform i found

More information

SIMON FRASER UNIVERSITY School of Engineering Science ENSC 320 Electric Circuits II. Solutions to Assignment 3 February 2005.

SIMON FRASER UNIVERSITY School of Engineering Science ENSC 320 Electric Circuits II. Solutions to Assignment 3 February 2005. SIMON FRASER UNIVERSITY School of Engineering Science ENSC 320 Electric Circuit II Solution to Aignment 3 February 2005. Initial Condition Source 0 V battery witch flip at t 0 find i 3 (t) Component value:

More information

Riemann s Functional Equation is Not a Valid Function and Its Implication on the Riemann Hypothesis. Armando M. Evangelista Jr.

Riemann s Functional Equation is Not a Valid Function and Its Implication on the Riemann Hypothesis. Armando M. Evangelista Jr. Riemann Functional Equation i Not a Valid Function and It Implication on the Riemann Hypothei By Armando M. Evangelita Jr. armando78973@gmail.com On Augut 28, 28 ABSTRACT Riemann functional equation wa

More information

Physics 741 Graduate Quantum Mechanics 1 Solutions to Final Exam, Fall 2014

Physics 741 Graduate Quantum Mechanics 1 Solutions to Final Exam, Fall 2014 Phyic 7 Graduate Quantum Mechanic Solution to inal Eam all 0 Each quetion i worth 5 point with point for each part marked eparately Some poibly ueful formula appear at the end of the tet In four dimenion

More information

Cumulative Review of Calculus

Cumulative Review of Calculus Cumulative Review of Calculu. Uing the limit definition of the lope of a tangent, determine the lope of the tangent to each curve at the given point. a. f 5,, 5 f,, f, f 5,,,. The poition, in metre, of

More information

The Electric Potential Energy

The Electric Potential Energy Lecture 6 Chapter 28 Phyic II The Electric Potential Energy Coure webite: http://aculty.uml.edu/andriy_danylov/teaching/phyicii New Idea So ar, we ued vector quantitie: 1. Electric Force (F) Depreed! 2.

More information

Bogoliubov Transformation in Classical Mechanics

Bogoliubov Transformation in Classical Mechanics Bogoliubov Tranformation in Claical Mechanic Canonical Tranformation Suppoe we have a et of complex canonical variable, {a j }, and would like to conider another et of variable, {b }, b b ({a j }). How

More information

Reading assignment: In this chapter we will cover Sections Definition and the Laplace transform of simple functions

Reading assignment: In this chapter we will cover Sections Definition and the Laplace transform of simple functions Chapter 4 Laplace Tranform 4 Introduction Reading aignment: In thi chapter we will cover Section 4 45 4 Definition and the Laplace tranform of imple function Given f, a function of time, with value f(t

More information

represented in the table? How are they shown on the graph?

represented in the table? How are they shown on the graph? Application. The El Pao Middle School girl baketball team i going from El Pao to San Antonio for the Tea tate championhip game. The trip will be 0 mile. Their bu travel at an average peed of 0 mile per

More information

Singular perturbation theory

Singular perturbation theory Singular perturbation theory Marc R. Rouel June 21, 2004 1 Introduction When we apply the teady-tate approximation (SSA) in chemical kinetic, we typically argue that ome of the intermediate are highly

More information

Reading assignment: In this chapter we will cover Sections Definition and the Laplace transform of simple functions

Reading assignment: In this chapter we will cover Sections Definition and the Laplace transform of simple functions Chapter 4 Laplace Tranform 4 Introduction Reading aignment: In thi chapter we will cover Section 4 45 4 Definition and the Laplace tranform of imple function Given f, a function of time, with value f(t

More information

Comparing Means: t-tests for Two Independent Samples

Comparing Means: t-tests for Two Independent Samples Comparing ean: t-tet for Two Independent Sample Independent-eaure Deign t-tet for Two Independent Sample Allow reearcher to evaluate the mean difference between two population uing data from two eparate

More information

Chapter 2 Sampling and Quantization. In order to investigate sampling and quantization, the difference between analog

Chapter 2 Sampling and Quantization. In order to investigate sampling and quantization, the difference between analog Chapter Sampling and Quantization.1 Analog and Digital Signal In order to invetigate ampling and quantization, the difference between analog and digital ignal mut be undertood. Analog ignal conit of continuou

More information

Lecture 15 - Current. A Puzzle... Advanced Section: Image Charge for Spheres. Image Charge for a Grounded Spherical Shell

Lecture 15 - Current. A Puzzle... Advanced Section: Image Charge for Spheres. Image Charge for a Grounded Spherical Shell Lecture 15 - Current Puzzle... Suppoe an infinite grounded conducting plane lie at z = 0. charge q i located at a height h above the conducting plane. Show in three different way that the potential below

More information

Fermi Distribution Function. n(e) T = 0 T > 0 E F

Fermi Distribution Function. n(e) T = 0 T > 0 E F LECTURE 3 Maxwell{Boltzmann, Fermi, and Boe Statitic Suppoe we have a ga of N identical point particle in a box ofvolume V. When we ay \ga", we mean that the particle are not interacting with one another.

More information

Position. If the particle is at point (x, y, z) on the curved path s shown in Fig a,then its location is defined by the position vector

Position. If the particle is at point (x, y, z) on the curved path s shown in Fig a,then its location is defined by the position vector 34 C HAPTER 1 KINEMATICS OF A PARTICLE 1 1.5 Curvilinear Motion: Rectangular Component Occaionall the motion of a particle can bet be decribed along a path that can be epreed in term of it,, coordinate.

More information

a = f s,max /m = s g. 4. We first analyze the forces on the pig of mass m. The incline angle is.

a = f s,max /m = s g. 4. We first analyze the forces on the pig of mass m. The incline angle is. Chapter 6 1. The greatet deceleration (of magnitude a) i provided by the maximum friction force (Eq. 6-1, with = mg in thi cae). Uing ewton econd law, we find a = f,max /m = g. Eq. -16 then give the hortet

More information

Notes on the geometry of curves, Math 210 John Wood

Notes on the geometry of curves, Math 210 John Wood Baic definition Note on the geometry of curve, Math 0 John Wood Let f(t be a vector-valued function of a calar We indicate thi by writing f : R R 3 and think of f(t a the poition in pace of a particle

More information

Chapter 19 Webassign Help Problems

Chapter 19 Webassign Help Problems Chapte 9 Webaign Help Poblem 4 5 6 7 8 9 0 Poblem 4: The pictue fo thi poblem i a bit mileading. They eally jut give you the pictue fo Pat b. So let fix that. Hee i the pictue fo Pat (a): Pat (a) imply

More information

Physics 6A. Angular Momentum. Prepared by Vince Zaccone For Campus Learning Assistance Services at UCSB

Physics 6A. Angular Momentum. Prepared by Vince Zaccone For Campus Learning Assistance Services at UCSB Phyic 6A Angular Momentum For Campu earning Angular Momentum Thi i the rotational equivalent of linear momentum. t quantifie the momentum of a rotating object, or ytem of object. f we imply tranlate the

More information

MATEMATIK Datum: Tid: eftermiddag. A.Heintz Telefonvakt: Anders Martinsson Tel.:

MATEMATIK Datum: Tid: eftermiddag. A.Heintz Telefonvakt: Anders Martinsson Tel.: MATEMATIK Datum: 20-08-25 Tid: eftermiddag GU, Chalmer Hjälpmedel: inga A.Heintz Telefonvakt: Ander Martinon Tel.: 073-07926. Löningar till tenta i ODE och matematik modellering, MMG5, MVE6. Define what

More information

5.5 Application of Frequency Response: Signal Filters

5.5 Application of Frequency Response: Signal Filters 44 Dynamic Sytem Second order lowpa filter having tranfer function H()=H ()H () u H () H () y Firt order lowpa filter Figure 5.5: Contruction of a econd order low-pa filter by combining two firt order

More information

Homework #7 Solution. Solutions: ΔP L Δω. Fig. 1

Homework #7 Solution. Solutions: ΔP L Δω. Fig. 1 Homework #7 Solution Aignment:. through.6 Bergen & Vittal. M Solution: Modified Equation.6 becaue gen. peed not fed back * M (.0rad / MW ec)(00mw) rad /ec peed ( ) (60) 9.55r. p. m. 3600 ( 9.55) 3590.45r.

More information

1. The F-test for Equality of Two Variances

1. The F-test for Equality of Two Variances . The F-tet for Equality of Two Variance Previouly we've learned how to tet whether two population mean are equal, uing data from two independent ample. We can alo tet whether two population variance are

More information

NCAAPMT Calculus Challenge Challenge #3 Due: October 26, 2011

NCAAPMT Calculus Challenge Challenge #3 Due: October 26, 2011 NCAAPMT Calculu Challenge 011 01 Challenge #3 Due: October 6, 011 A Model of Traffic Flow Everyone ha at ome time been on a multi-lane highway and encountered road contruction that required the traffic

More information

Hylleraas wavefunction for He. dv 2. ,! r 2. )dv 1. in the trial function. A simple trial function that does include r 12. is ) f (r 12.

Hylleraas wavefunction for He. dv 2. ,! r 2. )dv 1. in the trial function. A simple trial function that does include r 12. is ) f (r 12. Hylleraa wavefunction for He The reaon why the Hartree method cannot reproduce the exact olution i due to the inability of the Hartree wave-function to account for electron correlation. We know that the

More information

The Hand of God, Building the Universe and Multiverse

The Hand of God, Building the Universe and Multiverse 1.0 Abtract What i the mathematical bai for the contruction of the univere? Thi paper intend to how a tart of how the univere i contructed. It alo anwer the quetion, did the hand of God build the univere?

More information

Uniform Acceleration Problems Chapter 2: Linear Motion

Uniform Acceleration Problems Chapter 2: Linear Motion Name Date Period Uniform Acceleration Problem Chapter 2: Linear Motion INSTRUCTIONS: For thi homework, you will be drawing a coordinate axi (in math lingo: an x-y board ) to olve kinematic (motion) problem.

More information

Frames of Reference and Relative Velocity

Frames of Reference and Relative Velocity 1.5 frame of reference coordinate ytem relative to which motion i oberved Frame of Reference and Relative Velocity Air how provide element of both excitement and danger. When high-peed airplane fly in

More information

Çankaya University ECE Department ECE 376 (MT)

Çankaya University ECE Department ECE 376 (MT) Çankaya Univerity ECE Department ECE 376 (M) Student Name : Date : 13.4.15 Student Number : Open Source Exam Quetion 1. (7 Point) he time waveform of the ignal et, and t t are given in Fig. 1.1. a. Identify

More information

IEOR 3106: Fall 2013, Professor Whitt Topics for Discussion: Tuesday, November 19 Alternating Renewal Processes and The Renewal Equation

IEOR 3106: Fall 2013, Professor Whitt Topics for Discussion: Tuesday, November 19 Alternating Renewal Processes and The Renewal Equation IEOR 316: Fall 213, Profeor Whitt Topic for Dicuion: Tueday, November 19 Alternating Renewal Procee and The Renewal Equation 1 Alternating Renewal Procee An alternating renewal proce alternate between

More information

Math 201 Lecture 17: Discontinuous and Periodic Functions

Math 201 Lecture 17: Discontinuous and Periodic Functions Math 2 Lecture 7: Dicontinuou and Periodic Function Feb. 5, 22 Many example here are taken from the textbook. he firt number in () refer to the problem number in the UA Cutom edition, the econd number

More information

Convex Hulls of Curves Sam Burton

Convex Hulls of Curves Sam Burton Convex Hull of Curve Sam Burton 1 Introduction Thi paper will primarily be concerned with determining the face of convex hull of curve of the form C = {(t, t a, t b ) t [ 1, 1]}, a < b N in R 3. We hall

More information

time? How will changes in vertical drop of the course affect race time? How will changes in the distance between turns affect race time?

time? How will changes in vertical drop of the course affect race time? How will changes in the distance between turns affect race time? Unit 1 Leon 1 Invetigation 1 Think About Thi Situation Name: Conider variou port that involve downhill racing. Think about the factor that decreae or increae the time it take to travel from top to bottom.

More information

Tuning of High-Power Antenna Resonances by Appropriately Reactive Sources

Tuning of High-Power Antenna Resonances by Appropriately Reactive Sources Senor and Simulation Note Note 50 Augut 005 Tuning of High-Power Antenna Reonance by Appropriately Reactive Source Carl E. Baum Univerity of New Mexico Department of Electrical and Computer Engineering

More information

Problem Set 8 Solutions

Problem Set 8 Solutions Deign and Analyi of Algorithm April 29, 2015 Maachuett Intitute of Technology 6.046J/18.410J Prof. Erik Demaine, Srini Devada, and Nancy Lynch Problem Set 8 Solution Problem Set 8 Solution Thi problem

More information

DIFFERENTIAL EQUATIONS

DIFFERENTIAL EQUATIONS Matheatic Reviion Guide Introduction to Differential Equation Page of Author: Mark Kudlowki MK HOME TUITION Matheatic Reviion Guide Level: A-Level Year DIFFERENTIAL EQUATIONS Verion : Date: 3-4-3 Matheatic

More information

Codes Correcting Two Deletions

Codes Correcting Two Deletions 1 Code Correcting Two Deletion Ryan Gabry and Frederic Sala Spawar Sytem Center Univerity of California, Lo Angele ryan.gabry@navy.mil fredala@ucla.edu Abtract In thi work, we invetigate the problem of

More information

Symmetric Determinantal Representation of Formulas and Weakly Skew Circuits

Symmetric Determinantal Representation of Formulas and Weakly Skew Circuits Contemporary Mathematic Symmetric Determinantal Repreentation of Formula and Weakly Skew Circuit Bruno Grenet, Erich L. Kaltofen, Pacal Koiran, and Natacha Portier Abtract. We deploy algebraic complexity

More information

arxiv: v1 [math.mg] 25 Aug 2011

arxiv: v1 [math.mg] 25 Aug 2011 ABSORBING ANGLES, STEINER MINIMAL TREES, AND ANTIPODALITY HORST MARTINI, KONRAD J. SWANEPOEL, AND P. OLOFF DE WET arxiv:08.5046v [math.mg] 25 Aug 20 Abtract. We give a new proof that a tar {op i : i =,...,

More information

Preemptive scheduling on a small number of hierarchical machines

Preemptive scheduling on a small number of hierarchical machines Available online at www.ciencedirect.com Information and Computation 06 (008) 60 619 www.elevier.com/locate/ic Preemptive cheduling on a mall number of hierarchical machine György Dóa a, Leah Eptein b,

More information

Suggested Answers To Exercises. estimates variability in a sampling distribution of random means. About 68% of means fall

Suggested Answers To Exercises. estimates variability in a sampling distribution of random means. About 68% of means fall Beyond Significance Teting ( nd Edition), Rex B. Kline Suggeted Anwer To Exercie Chapter. The tatitic meaure variability among core at the cae level. In a normal ditribution, about 68% of the core fall

More information

Chapter 5 Consistency, Zero Stability, and the Dahlquist Equivalence Theorem

Chapter 5 Consistency, Zero Stability, and the Dahlquist Equivalence Theorem Chapter 5 Conitency, Zero Stability, and the Dahlquit Equivalence Theorem In Chapter 2 we dicued convergence of numerical method and gave an experimental method for finding the rate of convergence (aka,

More information

BASIC INDUCTION MOTOR CONCEPTS

BASIC INDUCTION MOTOR CONCEPTS INDUCTION MOTOS An induction motor ha the ame phyical tator a a ynchronou machine, with a different rotor contruction. There are two different type of induction motor rotor which can be placed inide the

More information

Lecture 2 Phys 798S Spring 2016 Steven Anlage. The heart and soul of superconductivity is the Meissner Effect. This feature uniquely distinguishes

Lecture 2 Phys 798S Spring 2016 Steven Anlage. The heart and soul of superconductivity is the Meissner Effect. This feature uniquely distinguishes ecture Phy 798S Spring 6 Steven Anlage The heart and oul of uperconductivity i the Meiner Effect. Thi feature uniquely ditinguihe uperconductivity fro any other tate of atter. Here we dicu oe iple phenoenological

More information

Unit I Review Worksheet Key

Unit I Review Worksheet Key Unit I Review Workheet Key 1. Which of the following tatement about vector and calar are TRUE? Anwer: CD a. Fale - Thi would never be the cae. Vector imply are direction-conciou, path-independent quantitie

More information

Given the following circuit with unknown initial capacitor voltage v(0): X(s) Immediately, we know that the transfer function H(s) is

Given the following circuit with unknown initial capacitor voltage v(0): X(s) Immediately, we know that the transfer function H(s) is EE 4G Note: Chapter 6 Intructor: Cheung More about ZSR and ZIR. Finding unknown initial condition: Given the following circuit with unknown initial capacitor voltage v0: F v0/ / Input xt 0Ω Output yt -

More information

Control Systems Analysis and Design by the Root-Locus Method

Control Systems Analysis and Design by the Root-Locus Method 6 Control Sytem Analyi and Deign by the Root-Locu Method 6 1 INTRODUCTION The baic characteritic of the tranient repone of a cloed-loop ytem i cloely related to the location of the cloed-loop pole. If

More information

Online Appendix for Managerial Attention and Worker Performance by Marina Halac and Andrea Prat

Online Appendix for Managerial Attention and Worker Performance by Marina Halac and Andrea Prat Online Appendix for Managerial Attention and Worker Performance by Marina Halac and Andrea Prat Thi Online Appendix contain the proof of our reult for the undicounted limit dicued in Section 2 of the paper,

More information

Suggestions - Problem Set (a) Show the discriminant condition (1) takes the form. ln ln, # # R R

Suggestions - Problem Set (a) Show the discriminant condition (1) takes the form. ln ln, # # R R Suggetion - Problem Set 3 4.2 (a) Show the dicriminant condition (1) take the form x D Ð.. Ñ. D.. D. ln ln, a deired. We then replace the quantitie. 3ß D3 by their etimate to get the proper form for thi

More information

ON THE APPROXIMATION ERROR IN HIGH DIMENSIONAL MODEL REPRESENTATION. Xiaoqun Wang

ON THE APPROXIMATION ERROR IN HIGH DIMENSIONAL MODEL REPRESENTATION. Xiaoqun Wang Proceeding of the 2008 Winter Simulation Conference S. J. Maon, R. R. Hill, L. Mönch, O. Roe, T. Jefferon, J. W. Fowler ed. ON THE APPROXIMATION ERROR IN HIGH DIMENSIONAL MODEL REPRESENTATION Xiaoqun Wang

More information

ANSWERS TO MA1506 TUTORIAL 7. Question 1. (a) We shall use the following s-shifting property: L(f(t)) = F (s) L(e ct f(t)) = F (s c)

ANSWERS TO MA1506 TUTORIAL 7. Question 1. (a) We shall use the following s-shifting property: L(f(t)) = F (s) L(e ct f(t)) = F (s c) ANSWERS O MA56 UORIAL 7 Quetion. a) We hall ue the following -Shifting property: Lft)) = F ) Le ct ft)) = F c) Lt 2 ) = 2 3 ue Ltn ) = n! Lt 2 e 3t ) = Le 3t t 2 ) = n+ 2 + 3) 3 b) Here u denote the Unit

More information

Halliday/Resnick/Walker 7e Chapter 6

Halliday/Resnick/Walker 7e Chapter 6 HRW 7e Chapter 6 Page of Halliday/Renick/Walker 7e Chapter 6 3. We do not conider the poibility that the bureau might tip, and treat thi a a purely horizontal motion problem (with the peron puh F in the

More information

The Laplace Transform , Haynes Miller and Jeremy Orloff

The Laplace Transform , Haynes Miller and Jeremy Orloff The Laplace Tranform 8.3, Hayne Miller and Jeremy Orloff Laplace tranform baic: introduction An operator take a function a input and output another function. A tranform doe the ame thing with the added

More information

e st t u(t 2) dt = lim t dt = T 2 2 e st = T e st lim + e st

e st t u(t 2) dt = lim t dt = T 2 2 e st = T e st lim + e st Math 46, Profeor David Levermore Anwer to Quetion for Dicuion Friday, 7 October 7 Firt Set of Quetion ( Ue the definition of the Laplace tranform to compute Lf]( for the function f(t = u(t t, where u i

More information

Discover the answer to this question in this chapter.

Discover the answer to this question in this chapter. Erwan, whoe ma i 65 kg, goe Bungee jumping. He ha been in free-fall for 0 m when the bungee rope begin to tretch. hat will the maximum tretching of the rope be if the rope act like a pring with a 100 N/m

More information

Chapter 7. Root Locus Analysis

Chapter 7. Root Locus Analysis Chapter 7 Root Locu Analyi jw + KGH ( ) GH ( ) - K 0 z O 4 p 2 p 3 p Root Locu Analyi The root of the cloed-loop characteritic equation define the ytem characteritic repone. Their location in the complex

More information