Einstein. Mechanics. In Grade 10 we investigated kinematics, or movement described in terms of velocity, acceleration, displacement, and so on.

Size: px
Start display at page:

Download "Einstein. Mechanics. In Grade 10 we investigated kinematics, or movement described in terms of velocity, acceleration, displacement, and so on."

Transcription

1 Cmbridge University Press Study nd Mster Physicl Sciences Grde 11 Lerner s Book Krin Kelder More informtion MODULE 1 Einstein Mechnics motion force Glileo Newton decelerte moment of force movement ccelerte momentum In Grde 10 we investigted kinemtics, or movement described in terms of velocity, ccelertion, displcement, nd so on. This module focuses on the resons for motion wht mkes n object t rest begin to move, wht cuses n object to ccelerte or decelerte. It invites you to explore the reltionship between motion nd the forces tht cuse motion. In this module you will work your wy through the following units: Newton s lws of motion Newton s Lw of Universl Grvittion momentum moment of force. rom everydy experience, we know tht n object cnnot move unless force is pplied to it. In the erly 1600s Glileo observed this phenomenon. We will strt our study with Glileo nd progress to Isc Newton, the fther of clssicl physics. Newton formulted the lws of motion nd the Universl Lw of Grvittion in We still use these lws tody, lthough Albert Einstein formulted new lws in To understnd the link between these two gret scientists, we will look briefly t their contributions to science. In sport, we tlk bout rugby or soccer plyer s momentum tht crries him forwrd. We will investigte how momentum cn be defined scientificlly, nd lso how we cn clculte its chnge. The reltionship between motion nd the forces tht cuse motion is clled dynmics. We will lso look t the reltionship between dynmics nd mchines. In science we consider mchine to be ny device tht mkes it esier for us to do work. 1 Cmbridge University Press

2 Cmbridge University Press Study nd Mster Physicl Sciences Grde 11 Lerner s Book Krin Kelder More informtion UNIT 1 inerti newton mss force motion NEWTON S LAWS O MOTION friction ccelertion time KEY CONCEPTS mss inerti forces force digrms ccelertion equilibrium net force ction-rection pir When you hve completed this unit, you should be ble to: define Newton s three lws of motion explin wht inerti is nd how it is relted to mss understnd nd define the mthemticl nd grphicl reltionship between force, ccelertion nd mss understnd how this reltionship between force, ccelertion nd mss led to Newton s Second Lw drw force digrm nd lbel the forces cting on n object distinguish between blnced nd unblnced forces clculte the net force nd use it in Newton s Second Lw identify ction-rection pirs ccording to Newton s Third Lw. Newton s irst Lw In the 17 th century, scientists invented the telescope. At this time, stronomers begn to study the movement of plnets in the hevens (or solr system). They noticed tht the plnets moved freely through spce, without ny force to push them. Glileo cme to the conclusion tht this ws the nturl motion of objects: An object t rest will sty t rest, unless force cuses it to strt moving. A moving object will continue to move t constnt speed in stright line, unless force cts on it. () Glileo devised severl experiments to test his ides. In one experiment, bll rolls down curved rmp, speeds up, nd then runs up the other side. If there is no friction, it reches the sme height s the strting height, s seen in (). If the second prt of the rmp is lowered to less steep slope, the bll reches the sme height s before, but now trvels (b) originl height (c) further horizontlly, s seen in (b). Wht hppens if the rmp is lowered to horizontl position? Glileo suggested tht the bll would roll on forever, s seen in (c). 2 MODULE 1: UNIT 1: NEWTON S LAW O MOTION Cmbridge University Press

3 Cmbridge University Press Study nd Mster Physicl Sciences Grde 11 Lerner s Book Krin Kelder More informtion To hve better understnding of Glileo s ide, let us look t nother exmple. When you push brick with rough surfce long tble top t constnt speed, you hve to exert certin mount of force. To push smooth wooden block with the sme mss cross the tble t the sme speed requires less force. If lyer of oil is poured onto the tble, the force required to move the block will be very smll. Imgine if the block ws not touching the tble t ll. Once strted, the block should move cross the tble with no further force pplied. v v v rough surfce smooth surfce no contct Newton used Glileo s results nd formulted his theory of motion in three lws. His irst Lw summrises Glileo s originl ides: Newton s irst Lw An object will remin t rest or continue to move t constnt velocity in stright line, unless n externl net force cts on it. Inerti nd mss The tendency of body to mintin its stte of rest or constnt motion in stright line is clled its inerti. Let s look t the following exmples: It is esier to ctch tennis bll thn cricket bll. It is esier to move sttionry bicycle thn sttionry cr. It is esier to turn n empty supermrket trolley thn fully lden one. rom these exmples, we cn deduce tht the greter the object s mss, the more difficult it is to chnge its motion. Newton used the term mss for the quntity of mtter of n object. Another wy to define mss is to sy tht it is mesure of body s inerti. The more mss body hs, the hrder it is to chnge its stte of motion. DID YOU KNOW? In Grde 10 we lernt tht mss is property of body itself. Mss is mesured in grms nd kilogrms. Weight is the force of grvity cting on body nd is mesured in newtons. 3 Cmbridge University Press

4 Cmbridge University Press Study nd Mster Physicl Sciences Grde 11 Lerner s Book Krin Kelder More informtion Exmples: Demonstrting Newton s irst Lw nd inerti The mss of n object is mesure of its inerti. The following demonstrtions explin this property of mtter. Exmple 1 Exmple 2 bll pull When the crdbord is flicked wy from the top of the glss, the coin drops in the glss. The force pplied to the crdbord is not relyed fst enough to the coin to ccelerte it with the crdbord. Exmple 3 A quick jerk breks the string t the bottom. There is not enough time to overcome the inerti of the bll, nd the pulling force breks the string t the bottom. A stedy, slow pull breks the string t the top. There is enough time to overcome the inerti of the bll, nd the weight of the bll together with the pulling force breks the top string. jerk When the pper is jerked wy, the glss of wter lnds on the tble. The friction between the tble nd the pper cnnot overcome the inerti of the glss. Before we cn continue our investigtion into the effect of force on the motion of n object, we need to refer bck to the concepts we used in Grde 10 to describe motion. The quntities of displcement (s), initil velocity (u), finl velocity (v), ccelertion () nd time (t) ll contribute to the type of motion of n object. This motion cn be described nd clculted by using words, grphs nd equtions. Displcement-time grphs plot the rte t which the displcement of n object chnges, nd velocity-time grphs plot the rte t which its velocity chnges. Any of the bove quntities cn be clculted by using set of equtions clled the equtions of motion. They re: v u t v 2 u 2 2s s ut 1 / 2 t 2 (u v)t s 2 4 MODULE 1: UNIT 1: NEWTON S LAW O MOTION Cmbridge University Press

5 Cmbridge University Press Study nd Mster Physicl Sciences Grde 11 Lerner s Book Krin Kelder More informtion Accelertion, force nd mss Newton s irst Lw describes n object t rest or with constnt motion. But wht hppens if n unblnced externl force is exerted on the object? Newton relised tht the velocity of the object will chnge. If the object experiences n increse or decrese in velocity, it will hve ccelertion. To understnd the reltionship between ccelertion, force nd mss, we will investigte the motion of minibus txi. Reltionship between ccelertion nd force A minibus txi driver is witing for the trffic lights to chnge. When the lights turn green, the driver pulls wy nd moves forwrd. The force provided by the engine cuses the minibus to ccelerte. The rrow in the sketch shows the force pushing the minibus forwrd. If the driver wnts to move wy from the lights more quickly, he cn push down hrder on the ccelertor. The forwrd force is then stronger, nd the minibus s ccelertion will be greter thn before. v v The grphic representtion of the motion of the minibus is: v (m) v (m) (m s 2 ) (m s 2 ) 5 Cmbridge University Press

6 Cmbridge University Press Study nd Mster Physicl Sciences Grde 11 Lerner s Book Krin Kelder More informtion At the next trffic light, the driver must stop. He pplies the brkes, which provides nother force to slow down the minibus. Although the minibus is moving forwrd, the brking force is directed bckwrd to decelerte the minibus. If the driver wnts to stop in hurry, he must pply stronger force by pushing down hrder on the brke pedl. The minibus s decelertion will therefore be greter thn before. v v The grphic representtion of the motion of the minibus is: v (m) v (m) (m s 2 ) (m s 2 ) Now we cn deduce from our observtions on the minibus tht: A force cn mke n object ccelerte. The object ccelertes in the direction tht the force is being exerted. The stronger the force cting on n object, the greter the ccelertion of the object. We sy tht the ccelertion produced by force is directly proportionl to the force. The mthemticl reltionship is written in symbols: We cn lso represent the reltionship grphiclly, s shown on the right. Accelertion is plotted ginst force 6 MODULE 1: UNIT 1: NEWTON S LAW O MOTION Cmbridge University Press

7 Cmbridge University Press Study nd Mster Physicl Sciences Grde 11 Lerner s Book Krin Kelder More informtion DID YOU KNOW? Becuse ccelertion is directly proportionl to the force which produces it, doubling the force will produce twice the ccelertion, three times the force will produce three times the ccelertion, nd so on. You cn find out more bout the mthemticl nd grphicl representtions of the reltionship between quntities in the introduction. Reltionship between ccelertion nd mss Another fctor tht influences n object s ccelertion is its mss. The txi driver knows tht when his txi is full of people, he will not be ble to ccelerte fst when he pulls wy from trffic light. Similrly, when he pplies the brkes, the txi will decelerte more slowly thn when it is empty. A good driver tkes these differences of mss into ccount when driving nd stopping the txi sfely. v v We cn deduce from our observtions on the minibus tht: If constnt force is pplied, the greter the mss of n object, the smller its ccelertion. We sy tht the ccelertion of n object produced by force is inversely proportionl to the mss m of the object. The mthemticl reltionship is written in symbols: 1/m The grphicl representtion is: Accelertion is inversely proportionl to mss m 1 m Accelertion is directly proportionl to 1/m 7 Cmbridge University Press

8 Cmbridge University Press Study nd Mster Physicl Sciences Grde 11 Lerner s Book Krin Kelder More informtion DID YOU KNOW? Since ccelertion is inversely proportionl to the mss of n object, doubling the mss of the object will hlve ccelertion if the force remins constnt. Newton s Second Lw We cn now combine the reltionship between ccelertion nd force with the reltionship between ccelertion nd mss: or m m Newton s Second Lw When net force is exerted on n object, it cuses the object to ccelerte in the direction of the force. This ccelertion is directly proportionl to the force nd inversely proportionl to the mss of the object. This proportionlity is not n exct reltionship yet. To insert n equl sign ( ), the totl numericl vlue of the SI units on the left of the proportionlity must equl the totl numericl vlue of the SI units on the right. To chieve this, we hve to include proportionlity constnt k: km DID YOU KNOW? The unit of force, the newton, ws nmed fter Sir Isc Newton, who plyed gret prt in developing the scientific concept of force. The newton is one of seven bsic SI units. Red more bout these units in the introduction on pge vi. By setting k equl to 1, our formul becomes: m We hve now defined the mgnitude (size) of the unit of force (newton) in terms of existing units, the kilogrm, metre nd second. One newton is the force tht will give mss of one kilogrm ccelertion of one metre per second squred: 1 N 1 kg m s 2 The quntities re relted by the formul m Quntity Symbol Unit orce N (newtons) Mss m kg (kilogrms) Accelertion m s 2 (metres per second squred) Note: Different scientific sources use different nmes for the force tht results in ccelertion of n object net force; unblnced force; resultnt force. They ll refer to exctly the sme force. 8 MODULE 1: UNIT 1: NEWTON S LAW O MOTION Cmbridge University Press

9 Cmbridge University Press Study nd Mster Physicl Sciences Grde 11 Lerner s Book Krin Kelder More informtion WORK IN GROUPS Activity 1: Investigting Newton s Second Lw LO1: AS1, AS2, AS3, AS4; LO2: AS1, AS2 Note: To compre two vlues experimentlly, ll other fctors must remin constnt during the course of the experiment. The trolley experiments re used to investigte the reltionship between the pplied force, ccelertion nd mss of n object. Ask your techer for detils on the experimentl procedure. The concepts of the experiments re explined here briefly so tht you cn nswer the questions in the ctivity. In this ctivity, two reltionships re investigted: the effect of force on ccelertion, nd the effect of mss on ccelertion. ruler ticker-timer mrk tpe elstic bnd trolley trck In the experiments, force is pplied to trolley which is on slightly rised trolley rmp. The trolley rmp is rised to compenste for friction. When the trolley is given light push, the ticker-tpe tht shows the trolley s displcement t constnt time intervls, resembles the tpe in the sketch. 1. Wht does the spcing of the dots on the ticker-tpe tell you bout the motion of the trolley? 2. Wht is the vlue of the net force on the trolley tht produced the ticker-tpe? 3. Drw n exmple of ticker-tpe in which the trolley ccelertes. Stretched elstic bnds provide the force tht ccelertes the trolley. Cre is tken to stretch the elstic bnds to the sme length ll the time so tht constnt force is pplied. All the elstic bnds re tested beforehnd to ensure tht they ll give the sme force. Ticker-tpes from ech run re collected nd processed. The results re recorded in tbles nd grphs to show the vrious reltionships. 9 Cmbridge University Press

10 Cmbridge University Press Study nd Mster Physicl Sciences Grde 11 Lerner s Book Krin Kelder More informtion Investigtion 1: Determining the reltionship between force nd ccelertion on n object with constnt mss v (m s 1 ) Velocity is plotted ginst time The trolley is ccelerted with one, two nd three elstic bnds in succession. The results re used to drw velocity-time grphs. 4. Wht conclusions cn you mke from these grphs? 3 elstic bnds 5. Wht is the mthemticl reltionship 2 elstic bnds between v nd t? 6. Drw sketch grph to show the reltionship between the net force on the 1 elstic bnd trolley nd the ccelertion it produces. 7. The following ticker-tpe gives you the experimentl vlues for one force (one elstic bnd). A B C D E 0,125 m 0,178 m 0,238 m 0,292 m 0,353 m Use the displcements bove to complete the following tble nd to clculte the ccelertion of the trolley. Displcement Time Averge Instntneous Chnge in Accelertion s (m) between velocity velocity velocity = v 10 dots v s (m s 1 v (m s ) ) v (m s 1 ) t (m s 2 ) t A to (reding 1 2) 0,2 (reding C 1 2 0,4 vlue 6) B (vlue 6) B to (reding 2 3) 0,2 (reding (vlue 7 (vlue 10 0,2) D 2 3 0,4 vlue 6 vlue 7) vlue 10) C (vlue 7) C to (reding 3 4) 0,2 (reding (vlue 8 (vlue 11 0,2) E 3 4 0,4 vlue 7 vlue 8) vlue 11) D (vlue 8) D to (reding 4 5) 0,2 (reding (vlue 9 (vlue 12 0,2) 4 5 0,4 vlue 8 vlue 9) vlue 12) E (vlue 9) 10 MODULE 1: UNIT 1: NEWTON S LAW O MOTION Cmbridge University Press

Experiment 6: Friction

Experiment 6: Friction Experiment 6: Friction In previous lbs we studied Newton s lws in n idel setting, tht is, one where friction nd ir resistnce were ignored. However, from our everydy experience with motion, we know tht

More information

Cypress Creek High School IB Physics SL/AP Physics B 2012 2013 MP2 Test 1 Newton s Laws. Name: SOLUTIONS Date: Period:

Cypress Creek High School IB Physics SL/AP Physics B 2012 2013 MP2 Test 1 Newton s Laws. Name: SOLUTIONS Date: Period: Nme: SOLUTIONS Dte: Period: Directions: Solve ny 5 problems. You my ttempt dditionl problems for extr credit. 1. Two blocks re sliding to the right cross horizontl surfce, s the drwing shows. In Cse A

More information

Graphs on Logarithmic and Semilogarithmic Paper

Graphs on Logarithmic and Semilogarithmic Paper 0CH_PHClter_TMSETE_ 3//00 :3 PM Pge Grphs on Logrithmic nd Semilogrithmic Pper OBJECTIVES When ou hve completed this chpter, ou should be ble to: Mke grphs on logrithmic nd semilogrithmic pper. Grph empiricl

More information

Version 001 Summer Review #03 tubman (IBII20142015) 1

Version 001 Summer Review #03 tubman (IBII20142015) 1 Version 001 Summer Reiew #03 tubmn (IBII20142015) 1 This print-out should he 35 questions. Multiple-choice questions my continue on the next column or pge find ll choices before nswering. Concept 20 P03

More information

AAPT UNITED STATES PHYSICS TEAM AIP 2010

AAPT UNITED STATES PHYSICS TEAM AIP 2010 2010 F = m Exm 1 AAPT UNITED STATES PHYSICS TEAM AIP 2010 Enti non multiplicnd sunt preter necessittem 2010 F = m Contest 25 QUESTIONS - 75 MINUTES INSTRUCTIONS DO NOT OPEN THIS TEST UNTIL YOU ARE TOLD

More information

Polynomial Functions. Polynomial functions in one variable can be written in expanded form as ( )

Polynomial Functions. Polynomial functions in one variable can be written in expanded form as ( ) Polynomil Functions Polynomil functions in one vrible cn be written in expnded form s n n 1 n 2 2 f x = x + x + x + + x + x+ n n 1 n 2 2 1 0 Exmples of polynomils in expnded form re nd 3 8 7 4 = 5 4 +

More information

Basic Analysis of Autarky and Free Trade Models

Basic Analysis of Autarky and Free Trade Models Bsic Anlysis of Autrky nd Free Trde Models AUTARKY Autrky condition in prticulr commodity mrket refers to sitution in which country does not engge in ny trde in tht commodity with other countries. Consequently

More information

Use Geometry Expressions to create a more complex locus of points. Find evidence for equivalence using Geometry Expressions.

Use Geometry Expressions to create a more complex locus of points. Find evidence for equivalence using Geometry Expressions. Lerning Objectives Loci nd Conics Lesson 3: The Ellipse Level: Preclculus Time required: 120 minutes In this lesson, students will generlize their knowledge of the circle to the ellipse. The prmetric nd

More information

PROBLEMS 13 - APPLICATIONS OF DERIVATIVES Page 1

PROBLEMS 13 - APPLICATIONS OF DERIVATIVES Page 1 PROBLEMS - APPLICATIONS OF DERIVATIVES Pge ( ) Wter seeps out of conicl filter t the constnt rte of 5 cc / sec. When the height of wter level in the cone is 5 cm, find the rte t which the height decreses.

More information

Operations with Polynomials

Operations with Polynomials 38 Chpter P Prerequisites P.4 Opertions with Polynomils Wht you should lern: Write polynomils in stndrd form nd identify the leding coefficients nd degrees of polynomils Add nd subtrct polynomils Multiply

More information

PHY 222 Lab 8 MOTION OF ELECTRONS IN ELECTRIC AND MAGNETIC FIELDS

PHY 222 Lab 8 MOTION OF ELECTRONS IN ELECTRIC AND MAGNETIC FIELDS PHY 222 Lb 8 MOTION OF ELECTRONS IN ELECTRIC AND MAGNETIC FIELDS Nme: Prtners: INTRODUCTION Before coming to lb, plese red this pcket nd do the prelb on pge 13 of this hndout. From previous experiments,

More information

Applications to Physics and Engineering

Applications to Physics and Engineering Section 7.5 Applictions to Physics nd Engineering Applictions to Physics nd Engineering Work The term work is used in everydy lnguge to men the totl mount of effort required to perform tsk. In physics

More information

Module 2. Analysis of Statically Indeterminate Structures by the Matrix Force Method. Version 2 CE IIT, Kharagpur

Module 2. Analysis of Statically Indeterminate Structures by the Matrix Force Method. Version 2 CE IIT, Kharagpur Module Anlysis of Stticlly Indeterminte Structures by the Mtrix Force Method Version CE IIT, Khrgpur esson 9 The Force Method of Anlysis: Bems (Continued) Version CE IIT, Khrgpur Instructionl Objectives

More information

5.2. LINE INTEGRALS 265. Let us quickly review the kind of integrals we have studied so far before we introduce a new one.

5.2. LINE INTEGRALS 265. Let us quickly review the kind of integrals we have studied so far before we introduce a new one. 5.2. LINE INTEGRALS 265 5.2 Line Integrls 5.2.1 Introduction Let us quickly review the kind of integrls we hve studied so fr before we introduce new one. 1. Definite integrl. Given continuous rel-vlued

More information

Example 27.1 Draw a Venn diagram to show the relationship between counting numbers, whole numbers, integers, and rational numbers.

Example 27.1 Draw a Venn diagram to show the relationship between counting numbers, whole numbers, integers, and rational numbers. 2 Rtionl Numbers Integers such s 5 were importnt when solving the eqution x+5 = 0. In similr wy, frctions re importnt for solving equtions like 2x = 1. Wht bout equtions like 2x + 1 = 0? Equtions of this

More information

Econ 4721 Money and Banking Problem Set 2 Answer Key

Econ 4721 Money and Banking Problem Set 2 Answer Key Econ 472 Money nd Bnking Problem Set 2 Answer Key Problem (35 points) Consider n overlpping genertions model in which consumers live for two periods. The number of people born in ech genertion grows in

More information

Mathematics. Vectors. hsn.uk.net. Higher. Contents. Vectors 128 HSN23100

Mathematics. Vectors. hsn.uk.net. Higher. Contents. Vectors 128 HSN23100 hsn.uk.net Higher Mthemtics UNIT 3 OUTCOME 1 Vectors Contents Vectors 18 1 Vectors nd Sclrs 18 Components 18 3 Mgnitude 130 4 Equl Vectors 131 5 Addition nd Subtrction of Vectors 13 6 Multipliction by

More information

Math 135 Circles and Completing the Square Examples

Math 135 Circles and Completing the Square Examples Mth 135 Circles nd Completing the Squre Exmples A perfect squre is number such tht = b 2 for some rel number b. Some exmples of perfect squres re 4 = 2 2, 16 = 4 2, 169 = 13 2. We wish to hve method for

More information

SOLUTIONS TO CONCEPTS CHAPTER 5

SOLUTIONS TO CONCEPTS CHAPTER 5 1. m k S 10m Let, ccelertion, Initil velocity u 0. S ut + 1/ t 10 ½ ( ) 10 5 m/s orce: m 5 10N (ns) 40000. u 40 km/hr 11.11 m/s. 3600 m 000 k ; v 0 ; s 4m v u ccelertion s SOLUIONS O CONCEPS CHPE 5 0 11.11

More information

Review Problems for the Final of Math 121, Fall 2014

Review Problems for the Final of Math 121, Fall 2014 Review Problems for the Finl of Mth, Fll The following is collection of vrious types of smple problems covering sections.,.5, nd.7 6.6 of the text which constitute only prt of the common Mth Finl. Since

More information

Helicopter Theme and Variations

Helicopter Theme and Variations Helicopter Theme nd Vritions Or, Some Experimentl Designs Employing Pper Helicopters Some possible explntory vribles re: Who drops the helicopter The length of the rotor bldes The height from which the

More information

PROF. BOYAN KOSTADINOV NEW YORK CITY COLLEGE OF TECHNOLOGY, CUNY

PROF. BOYAN KOSTADINOV NEW YORK CITY COLLEGE OF TECHNOLOGY, CUNY MAT 0630 INTERNET RESOURCES, REVIEW OF CONCEPTS AND COMMON MISTAKES PROF. BOYAN KOSTADINOV NEW YORK CITY COLLEGE OF TECHNOLOGY, CUNY Contents 1. ACT Compss Prctice Tests 1 2. Common Mistkes 2 3. Distributive

More information

Unit 6: Exponents and Radicals

Unit 6: Exponents and Radicals Eponents nd Rdicls -: The Rel Numer Sstem Unit : Eponents nd Rdicls Pure Mth 0 Notes Nturl Numers (N): - counting numers. {,,,,, } Whole Numers (W): - counting numers with 0. {0,,,,,, } Integers (I): -

More information

Binary Representation of Numbers Autar Kaw

Binary Representation of Numbers Autar Kaw Binry Representtion of Numbers Autr Kw After reding this chpter, you should be ble to: 1. convert bse- rel number to its binry representtion,. convert binry number to n equivlent bse- number. In everydy

More information

Integration. 148 Chapter 7 Integration

Integration. 148 Chapter 7 Integration 48 Chpter 7 Integrtion 7 Integrtion t ech, by supposing tht during ech tenth of second the object is going t constnt speed Since the object initilly hs speed, we gin suppose it mintins this speed, but

More information

Factoring Polynomials

Factoring Polynomials Fctoring Polynomils Some definitions (not necessrily ll for secondry school mthemtics): A polynomil is the sum of one or more terms, in which ech term consists of product of constnt nd one or more vribles

More information

Rotational Equilibrium: A Question of Balance

Rotational Equilibrium: A Question of Balance Prt of the IEEE Techer In-Service Progrm - Lesson Focus Demonstrte the concept of rottionl equilirium. Lesson Synopsis The Rottionl Equilirium ctivity encourges students to explore the sic concepts of

More information

Exponential and Logarithmic Functions

Exponential and Logarithmic Functions Nme Chpter Eponentil nd Logrithmic Functions Section. Eponentil Functions nd Their Grphs Objective: In this lesson ou lerned how to recognize, evlute, nd grph eponentil functions. Importnt Vocbulr Define

More information

Section 5-4 Trigonometric Functions

Section 5-4 Trigonometric Functions 5- Trigonometric Functions Section 5- Trigonometric Functions Definition of the Trigonometric Functions Clcultor Evlution of Trigonometric Functions Definition of the Trigonometric Functions Alternte Form

More information

15.6. The mean value and the root-mean-square value of a function. Introduction. Prerequisites. Learning Outcomes. Learning Style

15.6. The mean value and the root-mean-square value of a function. Introduction. Prerequisites. Learning Outcomes. Learning Style The men vlue nd the root-men-squre vlue of function 5.6 Introduction Currents nd voltges often vry with time nd engineers my wish to know the verge vlue of such current or voltge over some prticulr time

More information

t 3 t 4 Part A: Multiple Choice Canadian Association of Physicists 1999 Prize Exam

t 3 t 4 Part A: Multiple Choice Canadian Association of Physicists 1999 Prize Exam Cndin Assocition of Physicists 1999 Prize Exm This is three hour exm. Ntionl rnking nd prizes will be bsed on student s performnce on both sections A nd B of the exm. However, performnce on the multiple

More information

Week 11 - Inductance

Week 11 - Inductance Week - Inductnce November 6, 202 Exercise.: Discussion Questions ) A trnsformer consists bsiclly of two coils in close proximity but not in electricl contct. A current in one coil mgneticlly induces n

More information

Small Business Networking

Small Business Networking Why network is n essentil productivity tool for ny smll business Effective technology is essentil for smll businesses looking to increse the productivity of their people nd processes. Introducing technology

More information

Module Summary Sheets. C3, Methods for Advanced Mathematics (Version B reference to new book) Topic 2: Natural Logarithms and Exponentials

Module Summary Sheets. C3, Methods for Advanced Mathematics (Version B reference to new book) Topic 2: Natural Logarithms and Exponentials MEI Mthemtics in Ection nd Instry Topic : Proof MEI Structured Mthemtics Mole Summry Sheets C, Methods for Anced Mthemtics (Version B reference to new book) Topic : Nturl Logrithms nd Eponentils Topic

More information

Warm-up for Differential Calculus

Warm-up for Differential Calculus Summer Assignment Wrm-up for Differentil Clculus Who should complete this pcket? Students who hve completed Functions or Honors Functions nd will be tking Differentil Clculus in the fll of 015. Due Dte:

More information

4. DC MOTORS. Understand the basic principles of operation of a DC motor. Understand the operation and basic characteristics of simple DC motors.

4. DC MOTORS. Understand the basic principles of operation of a DC motor. Understand the operation and basic characteristics of simple DC motors. 4. DC MOTORS Almost every mechnicl movement tht we see round us is ccomplished by n electric motor. Electric mchines re mens o converting energy. Motors tke electricl energy nd produce mechnicl energy.

More information

9 CONTINUOUS DISTRIBUTIONS

9 CONTINUOUS DISTRIBUTIONS 9 CONTINUOUS DISTIBUTIONS A rndom vrible whose vlue my fll nywhere in rnge of vlues is continuous rndom vrible nd will be ssocited with some continuous distribution. Continuous distributions re to discrete

More information

Algebra Review. How well do you remember your algebra?

Algebra Review. How well do you remember your algebra? Algebr Review How well do you remember your lgebr? 1 The Order of Opertions Wht do we men when we write + 4? If we multiply we get 6 nd dding 4 gives 10. But, if we dd + 4 = 7 first, then multiply by then

More information

Reasoning to Solve Equations and Inequalities

Reasoning to Solve Equations and Inequalities Lesson4 Resoning to Solve Equtions nd Inequlities In erlier work in this unit, you modeled situtions with severl vriles nd equtions. For exmple, suppose you were given usiness plns for concert showing

More information

v T R x m Version PREVIEW Practice 7 carroll (11108) 1

v T R x m Version PREVIEW Practice 7 carroll (11108) 1 Version PEVIEW Prctice 7 crroll (08) his print-out should he 5 questions. Multiple-choice questions y continue on the next colun or pge find ll choices before nswering. Atwood Mchine 05 00 0.0 points A

More information

A.7.1 Trigonometric interpretation of dot product... 324. A.7.2 Geometric interpretation of dot product... 324

A.7.1 Trigonometric interpretation of dot product... 324. A.7.2 Geometric interpretation of dot product... 324 A P P E N D I X A Vectors CONTENTS A.1 Scling vector................................................ 321 A.2 Unit or Direction vectors...................................... 321 A.3 Vector ddition.................................................

More information

The Definite Integral

The Definite Integral Chpter 4 The Definite Integrl 4. Determining distnce trveled from velocity Motivting Questions In this section, we strive to understnd the ides generted by the following importnt questions: If we know

More information

Integration by Substitution

Integration by Substitution Integrtion by Substitution Dr. Philippe B. Lvl Kennesw Stte University August, 8 Abstrct This hndout contins mteril on very importnt integrtion method clled integrtion by substitution. Substitution is

More information

www.mathsbox.org.uk e.g. f(x) = x domain x 0 (cannot find the square root of negative values)

www.mathsbox.org.uk e.g. f(x) = x domain x 0 (cannot find the square root of negative values) www.mthsbo.org.uk CORE SUMMARY NOTES Functions A function is rule which genertes ectl ONE OUTPUT for EVERY INPUT. To be defined full the function hs RULE tells ou how to clculte the output from the input

More information

Treatment Spring Late Summer Fall 0.10 5.56 3.85 0.61 6.97 3.01 1.91 3.01 2.13 2.99 5.33 2.50 1.06 3.53 6.10 Mean = 1.33 Mean = 4.88 Mean = 3.

Treatment Spring Late Summer Fall 0.10 5.56 3.85 0.61 6.97 3.01 1.91 3.01 2.13 2.99 5.33 2.50 1.06 3.53 6.10 Mean = 1.33 Mean = 4.88 Mean = 3. The nlysis of vrince (ANOVA) Although the t-test is one of the most commonly used sttisticl hypothesis tests, it hs limittions. The mjor limittion is tht the t-test cn be used to compre the mens of only

More information

How To Network A Smll Business

How To Network A Smll Business Why network is n essentil productivity tool for ny smll business Effective technology is essentil for smll businesses looking to increse the productivity of their people nd processes. Introducing technology

More information

Firm Objectives. The Theory of the Firm II. Cost Minimization Mathematical Approach. First order conditions. Cost Minimization Graphical Approach

Firm Objectives. The Theory of the Firm II. Cost Minimization Mathematical Approach. First order conditions. Cost Minimization Graphical Approach Pro. Jy Bhttchry Spring 200 The Theory o the Firm II st lecture we covered: production unctions Tody: Cost minimiztion Firm s supply under cost minimiztion Short vs. long run cost curves Firm Ojectives

More information

Regular Sets and Expressions

Regular Sets and Expressions Regulr Sets nd Expressions Finite utomt re importnt in science, mthemtics, nd engineering. Engineers like them ecuse they re super models for circuits (And, since the dvent of VLSI systems sometimes finite

More information

Chapter 2 The Number System (Integers and Rational Numbers)

Chapter 2 The Number System (Integers and Rational Numbers) Chpter 2 The Number System (Integers nd Rtionl Numbers) In this second chpter, students extend nd formlize their understnding of the number system, including negtive rtionl numbers. Students first develop

More information

Rotating DC Motors Part II

Rotating DC Motors Part II Rotting Motors rt II II.1 Motor Equivlent Circuit The next step in our consiertion of motors is to evelop n equivlent circuit which cn be use to better unerstn motor opertion. The rmtures in rel motors

More information

AREA OF A SURFACE OF REVOLUTION

AREA OF A SURFACE OF REVOLUTION AREA OF A SURFACE OF REVOLUTION h cut r πr h A surfce of revolution is formed when curve is rotted bout line. Such surfce is the lterl boundr of solid of revolution of the tpe discussed in Sections 7.

More information

The Velocity Factor of an Insulated Two-Wire Transmission Line

The Velocity Factor of an Insulated Two-Wire Transmission Line The Velocity Fctor of n Insulted Two-Wire Trnsmission Line Problem Kirk T. McDonld Joseph Henry Lbortories, Princeton University, Princeton, NJ 08544 Mrch 7, 008 Estimte the velocity fctor F = v/c nd the

More information

Section 7-4 Translation of Axes

Section 7-4 Translation of Axes 62 7 ADDITIONAL TOPICS IN ANALYTIC GEOMETRY Section 7-4 Trnsltion of Aes Trnsltion of Aes Stndrd Equtions of Trnslted Conics Grphing Equtions of the Form A 2 C 2 D E F 0 Finding Equtions of Conics In the

More information

Orbits and Kepler s Laws

Orbits and Kepler s Laws Obits nd Keple s Lws This web pge intoduces some of the bsic ides of obitl dynmics. It stts by descibing the bsic foce due to gvity, then consides the ntue nd shpe of obits. The next section consides how

More information

2 DIODE CLIPPING and CLAMPING CIRCUITS

2 DIODE CLIPPING and CLAMPING CIRCUITS 2 DIODE CLIPPING nd CLAMPING CIRCUITS 2.1 Ojectives Understnding the operting principle of diode clipping circuit Understnding the operting principle of clmping circuit Understnding the wveform chnge of

More information

Answer, Key Homework 10 David McIntyre 1

Answer, Key Homework 10 David McIntyre 1 Answer, Key Homework 10 Dvid McIntyre 1 This print-out should hve 22 questions, check tht it is complete. Multiple-choice questions my continue on the next column or pge: find ll choices efore mking your

More information

Small Business Networking

Small Business Networking Why network is n essentil productivity tool for ny smll business Effective technology is essentil for smll businesses looking to increse the productivity of their people nd processes. Introducing technology

More information

Project 6 Aircraft static stability and control

Project 6 Aircraft static stability and control Project 6 Aircrft sttic stbility nd control The min objective of the project No. 6 is to compute the chrcteristics of the ircrft sttic stbility nd control chrcteristics in the pitch nd roll chnnel. The

More information

P.3 Polynomials and Factoring. P.3 an 1. Polynomial STUDY TIP. Example 1 Writing Polynomials in Standard Form. What you should learn

P.3 Polynomials and Factoring. P.3 an 1. Polynomial STUDY TIP. Example 1 Writing Polynomials in Standard Form. What you should learn 33337_0P03.qp 2/27/06 24 9:3 AM Chpter P Pge 24 Prerequisites P.3 Polynomils nd Fctoring Wht you should lern Polynomils An lgeric epression is collection of vriles nd rel numers. The most common type of

More information

Lecture 3 Gaussian Probability Distribution

Lecture 3 Gaussian Probability Distribution Lecture 3 Gussin Probbility Distribution Introduction l Gussin probbility distribution is perhps the most used distribution in ll of science. u lso clled bell shped curve or norml distribution l Unlike

More information

10.6 Applications of Quadratic Equations

10.6 Applications of Quadratic Equations 10.6 Applictions of Qudrtic Equtions In this section we wnt to look t the pplictions tht qudrtic equtions nd functions hve in the rel world. There re severl stndrd types: problems where the formul is given,

More information

Solving BAMO Problems

Solving BAMO Problems Solving BAMO Problems Tom Dvis tomrdvis@erthlink.net http://www.geometer.org/mthcircles Februry 20, 2000 Abstrct Strtegies for solving problems in the BAMO contest (the By Are Mthemticl Olympid). Only

More information

Small Business Networking

Small Business Networking Why network is n essentil productivity tool for ny smll business Effective technology is essentil for smll businesses looking to increse the productivity of their people nd business. Introducing technology

More information

Data replication in mobile computing

Data replication in mobile computing Technicl Report, My 2010 Dt repliction in mobile computing Bchelor s Thesis in Electricl Engineering Rodrigo Christovm Pmplon HALMSTAD UNIVERSITY, IDE SCHOOL OF INFORMATION SCIENCE, COMPUTER AND ELECTRICAL

More information

Physics 43 Homework Set 9 Chapter 40 Key

Physics 43 Homework Set 9 Chapter 40 Key Physics 43 Homework Set 9 Chpter 4 Key. The wve function for n electron tht is confined to x nm is. Find the normliztion constnt. b. Wht is the probbility of finding the electron in. nm-wide region t x

More information

Small Business Networking

Small Business Networking Why network is n essentil productivity tool for ny smll business Effective technology is essentil for smll businesses looking to increse the productivity of their people nd business. Introducing technology

More information

COMPONENTS: COMBINED LOADING

COMPONENTS: COMBINED LOADING LECTURE COMPONENTS: COMBINED LOADING Third Edition A. J. Clrk School of Engineering Deprtment of Civil nd Environmentl Engineering 24 Chpter 8.4 by Dr. Ibrhim A. Asskkf SPRING 2003 ENES 220 Mechnics of

More information

4.11 Inner Product Spaces

4.11 Inner Product Spaces 314 CHAPTER 4 Vector Spces 9. A mtrix of the form 0 0 b c 0 d 0 0 e 0 f g 0 h 0 cnnot be invertible. 10. A mtrix of the form bc d e f ghi such tht e bd = 0 cnnot be invertible. 4.11 Inner Product Spces

More information

Appendix D: Completing the Square and the Quadratic Formula. In Appendix A, two special cases of expanding brackets were considered:

Appendix D: Completing the Square and the Quadratic Formula. In Appendix A, two special cases of expanding brackets were considered: Appendi D: Completing the Squre nd the Qudrtic Formul Fctoring qudrtic epressions such s: + 6 + 8 ws one of the topics introduced in Appendi C. Fctoring qudrtic epressions is useful skill tht cn help you

More information

CHAPTER 11 Numerical Differentiation and Integration

CHAPTER 11 Numerical Differentiation and Integration CHAPTER 11 Numericl Differentition nd Integrtion Differentition nd integrtion re bsic mthemticl opertions with wide rnge of pplictions in mny res of science. It is therefore importnt to hve good methods

More information

6 Energy Methods And The Energy of Waves MATH 22C

6 Energy Methods And The Energy of Waves MATH 22C 6 Energy Methods And The Energy of Wves MATH 22C. Conservtion of Energy We discuss the principle of conservtion of energy for ODE s, derive the energy ssocited with the hrmonic oscilltor, nd then use this

More information

0.1 Basic Set Theory and Interval Notation

0.1 Basic Set Theory and Interval Notation 0.1 Bsic Set Theory nd Intervl Nottion 3 0.1 Bsic Set Theory nd Intervl Nottion 0.1.1 Some Bsic Set Theory Notions Like ll good Mth ooks, we egin with definition. Definition 0.1. A set is well-defined

More information

Basically, logarithmic transformations ask, a number, to what power equals another number?

Basically, logarithmic transformations ask, a number, to what power equals another number? Wht i logrithm? To nwer thi, firt try to nwer the following: wht i x in thi eqution? 9 = 3 x wht i x in thi eqution? 8 = 2 x Biclly, logrithmic trnformtion k, number, to wht power equl nother number? In

More information

1. Find the zeros Find roots. Set function = 0, factor or use quadratic equation if quadratic, graph to find zeros on calculator

1. Find the zeros Find roots. Set function = 0, factor or use quadratic equation if quadratic, graph to find zeros on calculator AP Clculus Finl Review Sheet When you see the words. This is wht you think of doing. Find the zeros Find roots. Set function =, fctor or use qudrtic eqution if qudrtic, grph to find zeros on clcultor.

More information

PSW-4-Motion Worksheet Name:. Class #:

PSW-4-Motion Worksheet Name:. Class #: Speed, Velocity, nd Accelertion PSW-4-1 Vocbulry Distnce: Displcement: Speed: Velocity: Accelertion: How fr something trvels. How fr something trvels in given direction. How fst something is moving. How

More information

6.2 Volumes of Revolution: The Disk Method

6.2 Volumes of Revolution: The Disk Method mth ppliction: volumes of revolution, prt ii Volumes of Revolution: The Disk Method One of the simplest pplictions of integrtion (Theorem ) nd the ccumultion process is to determine so-clled volumes of

More information

EQUATIONS OF LINES AND PLANES

EQUATIONS OF LINES AND PLANES EQUATIONS OF LINES AND PLANES MATH 195, SECTION 59 (VIPUL NAIK) Corresponding mteril in the ook: Section 12.5. Wht students should definitely get: Prmetric eqution of line given in point-direction nd twopoint

More information

1. In the Bohr model, compare the magnitudes of the electron s kinetic and potential energies in orbit. What does this imply?

1. In the Bohr model, compare the magnitudes of the electron s kinetic and potential energies in orbit. What does this imply? Assignment 3: Bohr s model nd lser fundmentls 1. In the Bohr model, compre the mgnitudes of the electron s kinetic nd potentil energies in orit. Wht does this imply? When n electron moves in n orit, the

More information

Or more simply put, when adding or subtracting quantities, their uncertainties add.

Or more simply put, when adding or subtracting quantities, their uncertainties add. Propgtion of Uncertint through Mthemticl Opertions Since the untit of interest in n eperiment is rrel otined mesuring tht untit directl, we must understnd how error propgtes when mthemticl opertions re

More information

Derivatives and Rates of Change

Derivatives and Rates of Change Section 2.1 Derivtives nd Rtes of Cnge 2010 Kiryl Tsiscnk Derivtives nd Rtes of Cnge Te Tngent Problem EXAMPLE: Grp te prbol y = x 2 nd te tngent line t te point P(1,1). Solution: We ve: DEFINITION: Te

More information

Radius of the Earth - Radii Used in Geodesy James R. Clynch February 2006

Radius of the Earth - Radii Used in Geodesy James R. Clynch February 2006 dius of the Erth - dii Used in Geodesy Jmes. Clynch Februry 006 I. Erth dii Uses There is only one rdius of sphere. The erth is pproximtely sphere nd therefore, for some cses, this pproximtion is dequte.

More information

Vector differentiation. Chapters 6, 7

Vector differentiation. Chapters 6, 7 Chpter 2 Vectors Courtesy NASA/JPL-Cltech Summry (see exmples in Hw 1, 2, 3) Circ 1900 A.D., J. Willird Gis invented useful comintion of mgnitude nd direction clled vectors nd their higher-dimensionl counterprts

More information

Example A rectangular box without lid is to be made from a square cardboard of sides 18 cm by cutting equal squares from each corner and then folding

Example A rectangular box without lid is to be made from a square cardboard of sides 18 cm by cutting equal squares from each corner and then folding 1 Exmple A rectngulr box without lid is to be mde from squre crdbord of sides 18 cm by cutting equl squres from ech corner nd then folding up the sides. 1 Exmple A rectngulr box without lid is to be mde

More information

Review guide for the final exam in Math 233

Review guide for the final exam in Math 233 Review guide for the finl exm in Mth 33 1 Bsic mteril. This review includes the reminder of the mteril for mth 33. The finl exm will be cumultive exm with mny of the problems coming from the mteril covered

More information

LINEAR TRANSFORMATIONS AND THEIR REPRESENTING MATRICES

LINEAR TRANSFORMATIONS AND THEIR REPRESENTING MATRICES LINEAR TRANSFORMATIONS AND THEIR REPRESENTING MATRICES DAVID WEBB CONTENTS Liner trnsformtions 2 The representing mtrix of liner trnsformtion 3 3 An ppliction: reflections in the plne 6 4 The lgebr of

More information

Vectors 2. 1. Recap of vectors

Vectors 2. 1. Recap of vectors Vectors 2. Recp of vectors Vectors re directed line segments - they cn be represented in component form or by direction nd mgnitude. We cn use trigonometry nd Pythgors theorem to switch between the forms

More information

Rate and Activation Energy of the Iodination of Acetone

Rate and Activation Energy of the Iodination of Acetone nd Activtion Energ of the Iodintion of Acetone rl N. eer Dte of Eperiment: //00 Florence F. Ls (prtner) Abstrct: The rte, rte lw nd ctivtion energ of the iodintion of cetone re detered b observing the

More information

Week 7 - Perfect Competition and Monopoly

Week 7 - Perfect Competition and Monopoly Week 7 - Perfect Competition nd Monopoly Our im here is to compre the industry-wide response to chnges in demnd nd costs by monopolized industry nd by perfectly competitive one. We distinguish between

More information

ORBITAL MANEUVERS USING LOW-THRUST

ORBITAL MANEUVERS USING LOW-THRUST Proceedings of the 8th WSEAS Interntionl Conference on SIGNAL PROCESSING, ROBOICS nd AUOMAION ORBIAL MANEUVERS USING LOW-HRUS VIVIAN MARINS GOMES, ANONIO F. B. A. PRADO, HÉLIO KOII KUGA Ntionl Institute

More information

Small Business Cloud Services

Small Business Cloud Services Smll Business Cloud Services Summry. We re thick in the midst of historic se-chnge in computing. Like the emergence of personl computers, grphicl user interfces, nd mobile devices, the cloud is lredy profoundly

More information

Vectors and dyadics. Chapter 2. Summary. 2.1 Examples of scalars, vectors, and dyadics

Vectors and dyadics. Chapter 2. Summary. 2.1 Examples of scalars, vectors, and dyadics Chpter 2 Vectors nd dydics Summry Circ 1900 A.D., J. Willird Gis proposed the ide of vectors nd their higher-dimensionl counterprts dydics, tridics, ndpolydics. Vectors descrie three-dimensionl spce nd

More information

I calculate the unemployment rate as (In Labor Force Employed)/In Labor Force

I calculate the unemployment rate as (In Labor Force Employed)/In Labor Force Introduction to the Prctice of Sttistics Fifth Edition Moore, McCbe Section 4.5 Homework Answers to 98, 99, 100,102, 103,105, 107, 109,110, 111, 112, 113 Working. In the lnguge of government sttistics,

More information

COMPARISON OF SOME METHODS TO FIT A MULTIPLICATIVE TARIFF STRUCTURE TO OBSERVED RISK DATA BY B. AJNE. Skandza, Stockholm ABSTRACT

COMPARISON OF SOME METHODS TO FIT A MULTIPLICATIVE TARIFF STRUCTURE TO OBSERVED RISK DATA BY B. AJNE. Skandza, Stockholm ABSTRACT COMPARISON OF SOME METHODS TO FIT A MULTIPLICATIVE TARIFF STRUCTURE TO OBSERVED RISK DATA BY B. AJNE Skndz, Stockholm ABSTRACT Three methods for fitting multiplictive models to observed, cross-clssified

More information

Bayesian Updating with Continuous Priors Class 13, 18.05, Spring 2014 Jeremy Orloff and Jonathan Bloom

Bayesian Updating with Continuous Priors Class 13, 18.05, Spring 2014 Jeremy Orloff and Jonathan Bloom Byesin Updting with Continuous Priors Clss 3, 8.05, Spring 04 Jeremy Orloff nd Jonthn Bloom Lerning Gols. Understnd prmeterized fmily of distriutions s representing continuous rnge of hypotheses for the

More information

DlNBVRGH + Sickness Absence Monitoring Report. Executive of the Council. Purpose of report

DlNBVRGH + Sickness Absence Monitoring Report. Executive of the Council. Purpose of report DlNBVRGH + + THE CITY OF EDINBURGH COUNCIL Sickness Absence Monitoring Report Executive of the Council 8fh My 4 I.I...3 Purpose of report This report quntifies the mount of working time lost s result of

More information

How To Set Up A Network For Your Business

How To Set Up A Network For Your Business Why Network is n Essentil Productivity Tool for Any Smll Business TechAdvisory.org SME Reports sponsored by Effective technology is essentil for smll businesses looking to increse their productivity. Computer

More information

CUBIC-FOOT VOLUME OF A LOG

CUBIC-FOOT VOLUME OF A LOG CUBIC-FOOT VOLUME OF A LOG Wys to clculte cuic foot volume ) xylometer: tu of wter sumerge tree or log in wter nd find volume of wter displced. ) grphic: exmple: log length = 4 feet, ech section feet in

More information

9.3. The Scalar Product. Introduction. Prerequisites. Learning Outcomes

9.3. The Scalar Product. Introduction. Prerequisites. Learning Outcomes The Sclr Product 9.3 Introduction There re two kinds of multipliction involving vectors. The first is known s the sclr product or dot product. This is so-clled becuse when the sclr product of two vectors

More information

Homework 3 Solutions

Homework 3 Solutions CS 341: Foundtions of Computer Science II Prof. Mrvin Nkym Homework 3 Solutions 1. Give NFAs with the specified numer of sttes recognizing ech of the following lnguges. In ll cses, the lphet is Σ = {,1}.

More information

One Minute To Learn Programming: Finite Automata

One Minute To Learn Programming: Finite Automata Gret Theoreticl Ides In Computer Science Steven Rudich CS 15-251 Spring 2005 Lecture 9 Fe 8 2005 Crnegie Mellon University One Minute To Lern Progrmming: Finite Automt Let me tech you progrmming lnguge

More information