graph of unit step function t

Similar documents
Math Week 12 continue ; also cover parts of , EP 7.6 Mon Nov 14

Mon Apr 2: Laplace transform and initial value problems like we studied in Chapter 5

IX.1.1 The Laplace Transform Definition 700. IX.1.2 Properties 701. IX.1.3 Examples 702. IX.1.4 Solution of IVP for ODEs 704

LAPLACE TRANSFORMS. 1. Basic transforms

IX.1.1 The Laplace Transform Definition 700. IX.1.2 Properties 701. IX.1.3 Examples 702. IX.1.4 Solution of IVP for ODEs 704

t )? How would you have tried to solve this problem in Chapter 3?

0 for t < 0 1 for t > 0

Motion. Part 2: Constant Acceleration. Acceleration. October Lab Physics. Ms. Levine 1. Acceleration. Acceleration. Units for Acceleration.

can be viewed as a generalized product, and one for which the product of f and g. That is, does

4.8 Improper Integrals

5.1-The Initial-Value Problems For Ordinary Differential Equations

e t dt e t dt = lim e t dt T (1 e T ) = 1

MTH 146 Class 11 Notes

Section P.1 Notes Page 1 Section P.1 Precalculus and Trigonometry Review

Contraction Mapping Principle Approach to Differential Equations

ENGR 1990 Engineering Mathematics The Integral of a Function as a Function

Transformations. Ordered set of numbers: (1,2,3,4) Example: (x,y,z) coordinates of pt in space. Vectors

Bipartite Matching. Matching. Bipartite Matching. Maxflow Formulation

Sph3u Practice Unit Test: Kinematics (Solutions) LoRusso

Physics 2A HW #3 Solutions

20.2. The Transform and its Inverse. Introduction. Prerequisites. Learning Outcomes

( ) ( ) ( ) ( ) ( ) ( y )

PHYSICS 1210 Exam 1 University of Wyoming 14 February points

f t f a f x dx By Lin McMullin f x dx= f b f a. 2

Physics 207 Lecture 10

SIDDHARTH GROUP OF INSTITUTIONS :: PUTTUR Siddharth Nagar, Narayanavanam Road QUESTION BANK (DESCRIPTIVE)

Magnetostatics Bar Magnet. Magnetostatics Oersted s Experiment

Positive and negative solutions of a boundary value problem for a

Version 001 test-1 swinney (57010) 1. is constant at m/s.

CHAPTER. Forced Equations and Systems { } ( ) ( ) 8.1 The Laplace Transform and Its Inverse. Transforms from the Definition.

EE Control Systems LECTURE 2

Solutions to Problems from Chapter 2

Chapter Introduction. 2. Linear Combinations [4.1]

Physics 101 Lecture 4 Motion in 2D and 3D

Laplace Examples, Inverse, Rational Form

Question Details Int Vocab 1 [ ] Question Details Int Vocab 2 [ ]

EECE 301 Signals & Systems Prof. Mark Fowler

when t = 2 s. Sketch the path for the first 2 seconds of motion and show the velocity and acceleration vectors for t = 2 s.(2/63)

Laplace Transform. Inverse Laplace Transform. e st f(t)dt. (2)

Chapter 6. Laplace Transforms

1.0 Electrical Systems

2D Motion WS. A horizontally launched projectile s initial vertical velocity is zero. Solve the following problems with this information.

Mon Apr 9 EP 7.6 Convolutions and Laplace transforms. Announcements: Warm-up Exercise:

Mathematics 805 Final Examination Answers

CHAPTER 11 PARAMETRIC EQUATIONS AND POLAR COORDINATES

6.8 Laplace Transform: General Formulas

The solution is often represented as a vector: 2xI + 4X2 + 2X3 + 4X4 + 2X5 = 4 2xI + 4X2 + 3X3 + 3X4 + 3X5 = 4. 3xI + 6X2 + 6X3 + 3X4 + 6X5 = 6.

t s (half of the total time in the air) d?

18.03SC Unit 3 Practice Exam and Solutions

A 1.3 m 2.5 m 2.8 m. x = m m = 8400 m. y = 4900 m 3200 m = 1700 m

Chapter 2. Motion along a straight line. 9/9/2015 Physics 218

Integral Transform. Definitions. Function Space. Linear Mapping. Integral Transform

2. The Laplace Transform

September 20 Homework Solutions

Chapter 6. Laplace Transforms

Math 2142 Homework 2 Solutions. Problem 1. Prove the following formulas for Laplace transforms for s > 0. a s 2 + a 2 L{cos at} = e st.

GEOMETRIC EFFECTS CONTRIBUTING TO ANTICIPATION OF THE BEVEL EDGE IN SPREADING RESISTANCE PROFILING

Chapter Direct Method of Interpolation

REAL ANALYSIS I HOMEWORK 3. Chapter 1

PHYSICS 211 MIDTERM I 22 October 2003

Sample Final Exam (finals03) Covering Chapters 1-9 of Fundamentals of Signals & Systems

Minimum Squared Error

Minimum Squared Error

International ejournals

MATH 124 AND 125 FINAL EXAM REVIEW PACKET (Revised spring 2008)

Applications of Prüfer Transformations in the Theory of Ordinary Differential Equations

Math Week 14 April 16-20: sections first order systems of linear differential equations; 7.4 mass-spring systems.

Reinforcement learning

APPENDIX 2 LAPLACE TRANSFORMS

To become more mathematically correct, Circuit equations are Algebraic Differential equations. from KVL, KCL from the constitutive relationship

INTEGRALS. Exercise 1. Let f : [a, b] R be bounded, and let P and Q be partitions of [a, b]. Prove that if P Q then U(P ) U(Q) and L(P ) L(Q).

Forms of Energy. Mass = Energy. Page 1. SPH4U: Introduction to Work. Work & Energy. Particle Physics:

Definite integral. Mathematics FRDIS MENDELU

How to Prove the Riemann Hypothesis Author: Fayez Fok Al Adeh.

Average & instantaneous velocity and acceleration Motion with constant acceleration

Definite integral. Mathematics FRDIS MENDELU. Simona Fišnarová (Mendel University) Definite integral MENDELU 1 / 30

Chapter 9 - The Laplace Transform

Chapter 7: Inverse-Response Systems

CONTROL SYSTEMS. Chapter 10 : State Space Response

1. Consider a PSA initially at rest in the beginning of the left-hand end of a long ISS corridor. Assume xo = 0 on the left end of the ISS corridor.

Probability, Estimators, and Stationarity

Let. x y. denote a bivariate time series with zero mean.

Exponential Sawtooth

3. Renewal Limit Theorems

Properties of Logarithms. Solving Exponential and Logarithmic Equations. Properties of Logarithms. Properties of Logarithms. ( x)

14. The fundamental theorem of the calculus

Introduction to SLE Lecture Notes

f(x) dx with An integral having either an infinite limit of integration or an unbounded integrand is called improper. Here are two examples dx x x 2

Price Discrimination

15/03/1439. Lecture 4: Linear Time Invariant (LTI) systems

IX.2 THE FOURIER TRANSFORM

An integral having either an infinite limit of integration or an unbounded integrand is called improper. Here are two examples.

A LIMIT-POINT CRITERION FOR A SECOND-ORDER LINEAR DIFFERENTIAL OPERATOR IAN KNOWLES

Hint: There's a table of particular solutions at the end of today's notes.

How to prove the Riemann Hypothesis

Discussion Session 2 Constant Acceleration/Relative Motion Week 03

Physics Worksheet Lesson 4: Linear Motion Section: Name:

5.2 GRAPHICAL VELOCITY ANALYSIS Polygon Method

4/12/12. Applications of the Maxflow Problem 7.5 Bipartite Matching. Bipartite Matching. Bipartite Matching. Bipartite matching: the flow network

Application on Inner Product Space with. Fixed Point Theorem in Probabilistic

Transcription:

.5 Piecewie coninuou forcing funcion...e.g. urning he forcing on nd off. The following Lplce rnform meril i ueful in yem where we urn forcing funcion on nd off, nd when we hve righ hnd ide "forcing funcion" h re more compliced hn wh undeermined coefficien cn hndle. We will coninue hi dicuion on Fridy, wih few more ble enrie including "he del (impule) funcion". f wih f Ce M F f e d for M commen u uni ep funcion e for urning componen on nd off =. f u e F more compliced on/off f f d F G "convoluion" for invering produc of Lplce rnform The uni ep funcion wih jump = i defined o be, u =,. IThi funcion i lo clled he "Heviide" funcion, e.g. in Mple nd Wolfrm lph. In Wolfrm lph i' lo clled he "he" funcion. Oliver Heviide w n ccomplihed phyici in he 8'. The nme i no becue he grph i hevy on one ide. :-) hp://en.wikipedi.org/wiki/oliver_heviide > wih plo : plo Heviide, =.., color = green, ile = `grph of uni ep funcion` ; grph of uni ep funcion.6.2 2 2 Noice h echniclly he vericl line hould no be here - more precie picure would hve olid poin, nd hollow circle,, for he grph of u. In erm of Lplce rnform inegrl definiion i doen' cully mer wh we define u o be.

Then, ; i.e. u =, ; i.e. nd h grph h i horizonl rnlion by o he righ, of he originl grph, e.g. for = 2: Exercie ) Verify he ble enrie u uni ep funcion e for urning componen on nd off =. f u e F more compliced on/off

Exercie 5) Explin why he decripion bove led o he differenil equion iniil vlue problem for x x x =.2 co u x = x = 5b) Find x. Show h fer he pren op puhing, he child i ocilling wih n mpliude of excly meer (in our linerized model).

Picure for he wing: > plo plo. in, =.. Pi, color = blck : plo2 plo Pi in, = Pi..2 Pi, color = blck : plo plo Pi, = Pi..2 Pi, color = blck, lineyle = 2 : plo4 plo Pi, = Pi..2 Pi, color = blck, lineyle = 2 : plo5 plo., =.. Pi, color = blck, lineyle = 2 : plo6 plo., =.. Pi, color = blck, lineyle = 2 : diply plo, plo2, plo, plo4, plo5, plo6, ile = `dvenure he winge` ; dvenure he winge 2 4 6 8 2 6 2 Alerne pproch vi Chper 5: ep ) olve for. ep 2) Then olve nd e x = y for. x x =.2 co x = x = y y = y = x y = x

f, wih f Ce M F f e d for M verified c f c 2 f 2 c F c 2 F 2 2 n, n 2 2 n! n ( e ( co k in k coh k inh k e co k e in k e f u f u f f f n, n 2 k 2 ( k 2 k 2 ( 2 k 2 ( k k 2 k 2 ( k 2 k 2 ( k 2 k 2 F e e F e F f 2 F f f n F n f... f n

f d F f 2 f n f, n f co k 2 k in k 2 k in k k co k e n e, n F F n F n F d 2 k 2 2 k 2 2 2 k 2 2 2 k 2 2 2 n! n f g d F G f wih period p e p p f e d Lplce rnform ble

Mh 225-4 Fri Apr 6.5, EP7.6 piecewie nd implule forcing. Announcemen: Wrm-up Exercie:

Lplce ble enrie for ody. f wih f Ce M F f e d for M commen u uni ep funcion e for urning componen on nd off =. f u e F more compliced on/off e uni impule/del "funcion" EP 7.6 impule funcion nd he operor. Conider force f cing on n objec for only on very hor ime inervl, for exmple when b hi bll. Thi impule p of he force i defined o be he inegrl p f d nd i meure he ne chnge in momenum of he objec ince by Newon' econd lw m v = f m v d = m v = f d = p Since he impule p only depend on he inegrl of f, nd ince he exc form of f i unlikely o be known in ny ce, he eie model i o replce f wih conn force hving he me ol impule, i.e. o e f = p d, where d, i he uni impule funcion given by = p.,, d, =,. Noice h d, d = d =. Here' grph of d 2,., for exmple:

2 4

Since he uni impule funcion i liner combinion of uni ep funcion, we could olve differenil equion wih impule funcion o-conruced. A fr Lplce rnform goe, i' even eier o ke he limi for he Lplce rnform d,, nd hi effecively model impule on very hor ime cle. d, = u u d, = e e = e e. In Lplce lnd we cn ue L'Hopil' rule (in he vrible ) o ke he limi : lim e e = e e lim = e. The reul in ime pce i no relly funcion bu we cll i he "del funcion" nywy, nd viulize i funcion h i zero everywhere excep =, nd h i i infinie = in uch wy h i inegrl over ny open inervl conining equl one. A explined in EP7.6, he del "funcion" cn be hough of in rigorou wy liner rnformion, no funcion. I cn lo be hough of he derivive of he uni ep funcion u, nd hi i conien wih he Lplce ble enrie for derivive of funcion. In ny ce, hi led o he very ueful Lplce rnform ble enry uni impule funcion e for impule forcing

Exercie ) Revii he wing from Wednedy' noe nd olve he IVP below for x. In hi ce he pren i providing n impule ech ime he child pe hrough equilibrium poiion fer compleing cycle. x x =.2 2 4 6 8 x = x =.

> > wih plo : plo plo. in, =.. Pi, color = blck : plo2 plo Pi in, = Pi..2 Pi, color = blck : plo plo Pi, = Pi..2 Pi, color = blck, lineyle = 2 : plo4 plo Pi, = Pi..2 Pi, color = blck, lineyle = 2 : plo5 plo., =.. Pi, color = blck, lineyle = 2 : plo6 plo., =.. Pi, color = blck, lineyle = 2 : diply plo, plo2, plo, plo4, plo5, plo6, ile = `Wednedy dvenure he winge` ; Wednedy dvenure he winge 2 4 6 8 2 4 6 8 2 > impule oluion: five equl impule o ge me finl mpliude of meer - Exercie : > f.2 Pi um Heviide k 2 Pi in k 2 Pi, k =..4 : > plo f, =..2 Pi, color = blck, ile = `lzy pren on Fridy` ; > Or, n impule = nd noher one =. > g.2 Pi 2 in Heviide Pi in Pi : > plo g, =..2 Pi, color = blck, ile = `very lzy pren` ; > lzy pren on Fridy 2 4 6 8 4 2 very lzy pren 2 4 6 8 4 2