Physics 121 for Majors

Size: px
Start display at page:

Download "Physics 121 for Majors"

Transcription

1 Physics 121 for Majors Scheule Do Post-Class Quiz #3 Do Pre-Class Quiz #4 HW #2 is ue Wenesay Quiz #1 is ue Saturay, Sept. 16 Lab #1 is set up now, ue Monay Some Department Resources Computers N-212 ESC Computer room, available when class is not in session. N-361 Majors stuy room Tutorial Lab N-304 ESC Ethan Fletcher: M 1pm 3pm, W 7-9pm F 3pm 6-10 pm Spencer Vogel: M 1-4pm, W 1-5pm, F1-3 pm Last Class How physics works Observation Moeling Quantifying Getting meaningful answers Units Significant figures Estimation Derivatives Position Velocity Acceleration Doing Derivatives in Mathematica Class 3 Position, Velocity, an Acceleration Derivatives an Integrals Differential Equations Toay s Class Graphing position, velocity, acceleration Blinking light plots - relating the real worl to graphs Derivative rules Integrals Differential Equations in Mathematica 1

2 Section 1 Review Problems Estimation Problem In the real worl, it s useful to make eucate guesses. We on t always have exact numbers to put into equations an exact answers come out. Estimation Problem What is the mass of the Eyring Science Center? The ensity of water is 1000 kg/m 3. Estimation Problem What is the mass of the Eyring Science Center? Volume: (12 x 4) ~ 80 m 60 m 16 m ~ m 3 Mass if a soli block: m kg/m3 ~ kg But the builing must be about 5% soli (smaller upper floors, etc.) kg 0.05 ~ kg Section 2 Describing Motion Graphs an Motion It is very important to make connections between graphs an the real worl. Below is a graph of x vs t. Move your han so it matches the motion inicate in the graph. Now think of this as v (t ). Move your han so it matches the motion. 2

3 Blinking Light Plots Think of a spaceship with a light that blinks once each secon. The spaceship flies by a platform with a ruler so we can easily measure its position as the spaceship flies by. Blinking Light Plot 1 Blinking Light Plot 2 Vectors vs Scalars Scalars are just numbers, like temperature. Vectors are quantities that have size (magnitue) an irection, like velocity. In 3-D space, we nee three separate numbers to efine a vector In 1-D, we nee just one number Vectors in 1-D Vectors can be expresse in terms of a number like 15 m/s. Vectors can be expresse in terms of magnitue an irection: Magnitue is POSITIVE: 15 m/s Direction is just + or. It s -- in this example. Position Position is a vector but we ll stay in 1-D for now. We must choose an origin (the zero point) an ecie which irection is positive We must choose units -- This is easy! 3

4 Displacement Displacement is the change in position. We write it as x, y, etc. A note on notation: q = q f q i (final initial) or q = small bit of q Displacement can be positive, zero, or negative. -- This is a little harer... Graphing Graphs were (essentially) invente by René Descartes in the 17 th century. Cartesian coorinates are name after him. Graphing allows us to visualize relationships between variables an to treat them analytically using geometry. Case 1 Case 2 Section 3 A Rate Problem Consier the following ata: What is the overall value of T/ t? 15.5 o F/12 hr = 1.29 o F/hr Is T/ t the same at all times? What is T/ t at 6:00 am? 1.1 o F/1 hr = 1.1 o F/hr Time (hours) Temperature ( o F)

5 Consier the following ata: What is T/ t between 5:00 am an 7:00 am? o F/2 hr = o F/hr What is T/ t between 5:30 am an 6:30 am? o F/1 hr = o F/ hr What is T/ t between 5:54 am an 6:06 am? o F/.02 hr = 1.11 o F/ hr Time (hours) Temperature ( o F) A real experiment woul look more like this: What is T/ t between 5:00 am an 7:00 am? 2.3 o F/2 hr = 1.15 o F/hr What is T/ t between 5:30 am an 6:30 am? 1.2 o F/1 hr = 1.2 o F/hr What is T/ t between 5:54 am an 6:06 am? 0.1 o F/0.2 hr = 0.5 o F/hr Time (hours) Temperature ( o F) Calculating rates with experimental ata can be har! T(t) Plot Where is T/ t on the graph? Draw a sketch of T/ t. T/ Plot Draw a sketch of 2 T/ 2. 2 T/ 2 Plot Section 4 Graphing Velocity an Acceleration 5

6 Spee vs Velocity Spee is the magnitue of the velocity (+) Spee is a scalar Velocity is a vector, so 1-D, it can be positive, zero, or negative Velocity can be average ( x/ t) or instantaneous (x/) Spee is usually instantaneous, as average spee may be ambiguous. Case 1 Case 2 Section 5 Derivative Rules How Derivatives Work The important thing to remember is that erivatives can be thought of as either Rates (time) Slopes (on a graph) Recipes for how quantity A changes when quantity B changes How Derivatives Work f = lim f t + t f(t) t 6

7 How Derivatives Work Fin f where f t = t f t = t + t t = t + 2t t + t t t t 2t t + t = 2t + t = t f = lim f t = 2t Derivative Rules 1 A is a constant. A = 0 At = A At 2 At n = 2At = nat Derivative Rules 2 A an k are constants. A sin kt = Ak cos kt A cos kt = Ak sin kt Derivative Rules 3 Af(t) = A f(t) f t + g t = f t + g(t) f t g t = f(t) g t + g(t) f(t) f g f[g t ] = g Exercises 3 t + 2t = t t sin(kt) = sin(kt) + kt cos(kt) Section 6 Integrals sin(kt ) = cos kt 2kt 7

8 Unoing a erivative? Derivatives x(t) v(t) a(t) How o we go the other way x(t) v(t) a(t) We nee the inverse of a erivative! Integrals Are Anti-Derivatives If f an g are two functions of t such that f t = g(t) Then we can solve for g by: g t = f t Integrals to Memorize Af t + Bg t = A f t + B g t t = t n + 1, n 1 t = ln t sin(kt) = cos(kt) k cos(kt) = sin(kt) k Integrals Are Anti-Derivatives Let s try an example: f t = 4t g t = f t = 4 3 t So as avertise f t = g = 4 3 t = 4t Constant of Integration But note that if c is any constant an g t = 4 3 t + c Constant of Integration If we know the value of g at any specific time, such as g (0), we can etermine a unique value for the constant of integration. f t = g 4 3 t + c = 4t The same! So to uno a erivative with an integral, the general solution, g, must have a constant ae to the values of the integral of f. Let s look at a specific example to see how this works. 8

9 Constant of Integration The change in temperature between 7 am an 9 am is measure to be T = 4 /hr (t 7 hr) where t is the time in hours. The temperature at 7 am is 57 o F. Fin T (t ). T(t) = 2 /hr t 28 /hr t + C T 7 hr = 57 = C C = 155 T(t) = 2 /hr t 28 /hr t An Easier Way The change in temperature between 7 am an 9 am is measure to be T = 4 /hr t where t is the time in hours after 7am. The temperature at 7 am is 57 o F. Fin T (t ). T = 2 /hr t + C T 0 = 57 = C T = 2 /hr t + 57 Section 7 Velocity an Position from Acceleration Rates Derivatives with respect to time are calle rates. Velocity is rate of change of position. Acceleration is the rate of change of velocity. Jerk is the rate of change of acceleration (but it s almost never use). A Sample Acceleration As you press on the accelerator of your car, your car accelerates accoring to the function a t = At Where A = 3.25 m/s Convince yourself that this acceleration has the correct units. A Sample Acceleration Your car accelerates accoring to the function a t = At You re going own the highway at 25.0 m/s when you hit the accelerator. What is your velocity after 12.0 s of acceleration? How far have you travele in that time? 9

10 A Sample Acceleration a t = At A = m/s v 0 = 25.0 m/s x 0 = 0 m v = At = 1 3 At + c v 0 = c = 25.0 m/s x = 1 3 At + c = 1 12 At + ct + x 0 = = 0 m v 1.20 = 43.7 m/s x 1.20 = 356 m Differential Equation 1 a t = At Fin x(t) an v(t) if x(0)=0 an v(0)=25.0m/s Equations of motion: v t = x At = v Initial Conitions x 0 = 0 v 0 = v = 25.0 m/s Differential Equation 2 a t = At Fin x(t) an x (t) if x(0)=0 an x (0)=25.0m/s Equation of motion: At = x Initial Conitions x 0 = 0 x 0 = 25.0 m/s Section 8 Using Mathematica Derivatives in Mathematica y = a x^2 +b D[y,x] 2 a x x[t_]=4*t^2+7 D[x,t] 0 D[x[t],t] 8 t v=d[x[t],t] 8 t v[3] 8 t [3] v[t_]=d[x[t],t] 8 t v[3] 24 One Other Form y = a t^2 +b D[y,t] 2 a t y[t_]=a t^2 +b; y [t]=2 a t 10

11 Differential Equation 1 Differential Equation 2 Section 9 Spreasheet Solutions Spreasheets Useful for hanling numerical ata We ll use spreasheets for a few problems that can t be one easily with equations Basic manipulations are fairly easy Useful for graphing ata sets Excel (Microsoft Office) is available in computer labs throughout campus. Spreasheet Equations v = x a = v becomes becomes x = v t v = a t Start with initial values of x an v an calculate how they change after a tiny time Δt. Use the latest values of v an a to o that. Spreasheet Equations x = v t v = a t Start with initial values of x an v an calculate how they change after a tiny time Δt. Use the latest values of v an a to o that. Important! This is not very accurate unless Δt is very small! a Δt t x v Check a

12 Two Excel Tips I ll give you a template you can use in Excel. Excel is available on computers aroun campus in case you on t have it on your computer. In a new cell, type =, then click on the cells (from the previous row) you wish to use in your calculation along with the appropriate operators. Section 10 Recap Highlight cells, click on the lower right corner an rag own to repeat the cells. They ll automatically upate to use the cells from the correct lines. Big Ieas Using erivatives an integrals, we can obtain position, velocity, an acceleration if we know any one of them (plus initial conitions) Graphs an blinking light plots can help us unerstan motion Motion equations are typically ifferential equations 12

Physics 121 for Majors

Physics 121 for Majors Physics 121 for Majors 121M Tutors Tutorial Lab N-304 ESC Ethan Fletcher: M 1pm 3pm, T 3-6 pm, Th 3-10 pm, W 7-9pm, F 3pm 6-10 pm Spencer Vogel: M 1-4pm, W 1-5pm, F1-3 pm Schedule Do Post-Class Check #4

More information

Day 4: Motion Along a Curve Vectors

Day 4: Motion Along a Curve Vectors Day 4: Motion Along a Curve Vectors I give my stuents the following list of terms an formulas to know. Parametric Equations, Vectors, an Calculus Terms an Formulas to Know: If a smooth curve C is given

More information

Calculus in the AP Physics C Course The Derivative

Calculus in the AP Physics C Course The Derivative Limits an Derivatives Calculus in the AP Physics C Course The Derivative In physics, the ieas of the rate change of a quantity (along with the slope of a tangent line) an the area uner a curve are essential.

More information

SYDE 112, LECTURE 1: Review & Antidifferentiation

SYDE 112, LECTURE 1: Review & Antidifferentiation SYDE 112, LECTURE 1: Review & Antiifferentiation 1 Course Information For a etaile breakown of the course content an available resources, see the Course Outline. Other relevant information for this section

More information

12.5. Differentiation of vectors. Introduction. Prerequisites. Learning Outcomes

12.5. Differentiation of vectors. Introduction. Prerequisites. Learning Outcomes Differentiation of vectors 12.5 Introuction The area known as vector calculus is use to moel mathematically a vast range of engineering phenomena incluing electrostatics, electromagnetic fiels, air flow

More information

Physics 170 Week 7, Lecture 2

Physics 170 Week 7, Lecture 2 Physics 170 Week 7, Lecture 2 http://www.phas.ubc.ca/ goronws/170 Physics 170 203 Week 7, Lecture 2 1 Textbook Chapter 12:Section 12.2-3 Physics 170 203 Week 7, Lecture 2 2 Learning Goals: Learn about

More information

CHAPTER 3 DERIVATIVES (continued)

CHAPTER 3 DERIVATIVES (continued) CHAPTER 3 DERIVATIVES (continue) 3.3. RULES FOR DIFFERENTIATION A. The erivative of a constant is zero: [c] = 0 B. The Power Rule: [n ] = n (n-1) C. The Constant Multiple Rule: [c *f()] = c * f () D. The

More information

Calculus BC Section II PART A A GRAPHING CALCULATOR IS REQUIRED FOR SOME PROBLEMS OR PARTS OF PROBLEMS

Calculus BC Section II PART A A GRAPHING CALCULATOR IS REQUIRED FOR SOME PROBLEMS OR PARTS OF PROBLEMS Calculus BC Section II PART A A GRAPHING CALCULATOR IS REQUIRED FOR SOME PROBLEMS OR PARTS OF PROBLEMS. An isosceles triangle, whose base is the interval from (0, 0) to (c, 0), has its verte on the graph

More information

Antiderivatives Introduction

Antiderivatives Introduction Antierivatives 40. Introuction So far much of the term has been spent fining erivatives or rates of change. But in some circumstances we alreay know the rate of change an we wish to etermine the original

More information

MATH2231-Differentiation (2)

MATH2231-Differentiation (2) -Differentiation () The Beginnings of Calculus The prime occasion from which arose my iscovery of the metho of the Characteristic Triangle, an other things of the same sort, happene at a time when I ha

More information

Math 11 Fall 2016 Section 1 Monday, September 19, Definition: A vector parametric equation for the line parallel to vector v = x v, y v, z v

Math 11 Fall 2016 Section 1 Monday, September 19, Definition: A vector parametric equation for the line parallel to vector v = x v, y v, z v Math Fall 06 Section Monay, September 9, 06 First, some important points from the last class: Definition: A vector parametric equation for the line parallel to vector v = x v, y v, z v passing through

More information

5.4 Fundamental Theorem of Calculus Calculus. Do you remember the Fundamental Theorem of Algebra? Just thought I'd ask

5.4 Fundamental Theorem of Calculus Calculus. Do you remember the Fundamental Theorem of Algebra? Just thought I'd ask 5.4 FUNDAMENTAL THEOREM OF CALCULUS Do you remember the Funamental Theorem of Algebra? Just thought I' ask The Funamental Theorem of Calculus has two parts. These two parts tie together the concept of

More information

23 Implicit differentiation

23 Implicit differentiation 23 Implicit ifferentiation 23.1 Statement The equation y = x 2 + 3x + 1 expresses a relationship between the quantities x an y. If a value of x is given, then a corresponing value of y is etermine. For

More information

Topic 2.3: The Geometry of Derivatives of Vector Functions

Topic 2.3: The Geometry of Derivatives of Vector Functions BSU Math 275 Notes Topic 2.3: The Geometry of Derivatives of Vector Functions Textbook Sections: 13.2 From the Toolbox (what you nee from previous classes): Be able to compute erivatives scalar-value functions

More information

The derivative of a function f(x) is another function, defined in terms of a limiting expression: f(x + δx) f(x)

The derivative of a function f(x) is another function, defined in terms of a limiting expression: f(x + δx) f(x) Y. D. Chong (2016) MH2801: Complex Methos for the Sciences 1. Derivatives The erivative of a function f(x) is another function, efine in terms of a limiting expression: f (x) f (x) lim x δx 0 f(x + δx)

More information

Math 1 Lecture 20. Dartmouth College. Wednesday

Math 1 Lecture 20. Dartmouth College. Wednesday Math 1 Lecture 20 Dartmouth College Wenesay 10-26-16 Contents Reminers/Announcements Last Time Derivatives of Trigonometric Functions Reminers/Announcements WebWork ue Friay x-hour problem session rop

More information

x f(x) x f(x) approaching 1 approaching 0.5 approaching 1 approaching 0.

x f(x) x f(x) approaching 1 approaching 0.5 approaching 1 approaching 0. Engineering Mathematics 2 26 February 2014 Limits of functions Consier the function 1 f() = 1. The omain of this function is R + \ {1}. The function is not efine at 1. What happens when is close to 1?

More information

Tutorial 1 Differentiation

Tutorial 1 Differentiation Tutorial 1 Differentiation What is Calculus? Calculus 微積分 Differential calculus Differentiation 微分 y lim 0 f f The relation of very small changes of ifferent quantities f f y y Integral calculus Integration

More information

Vectors in two dimensions

Vectors in two dimensions Vectors in two imensions Until now, we have been working in one imension only The main reason for this is to become familiar with the main physical ieas like Newton s secon law, without the aitional complication

More information

Calculus I Practice Test Problems for Chapter 3 Page 1 of 9

Calculus I Practice Test Problems for Chapter 3 Page 1 of 9 Calculus I Practice Test Problems for Chapter 3 Page of 9 This is a set of practice test problems for Chapter 3. This is in no wa an inclusive set of problems there can be other tpes of problems on the

More information

MA 2232 Lecture 08 - Review of Log and Exponential Functions and Exponential Growth

MA 2232 Lecture 08 - Review of Log and Exponential Functions and Exponential Growth MA 2232 Lecture 08 - Review of Log an Exponential Functions an Exponential Growth Friay, February 2, 2018. Objectives: Review log an exponential functions, their erivative an integration formulas. Exponential

More information

2.5 SOME APPLICATIONS OF THE CHAIN RULE

2.5 SOME APPLICATIONS OF THE CHAIN RULE 2.5 SOME APPLICATIONS OF THE CHAIN RULE The Chain Rule will help us etermine the erivatives of logarithms an exponential functions a x. We will also use it to answer some applie questions an to fin slopes

More information

Define each term or concept.

Define each term or concept. Chapter Differentiation Course Number Section.1 The Derivative an the Tangent Line Problem Objective: In this lesson you learne how to fin the erivative of a function using the limit efinition an unerstan

More information

1 Definition of the derivative

1 Definition of the derivative Math 20A - Calculus by Jon Rogawski Chapter 3 - Differentiation Prepare by Jason Gais Definition of the erivative Remark.. Recall our iscussion of tangent lines from way back. We now rephrase this in terms

More information

JUST THE MATHS UNIT NUMBER DIFFERENTIATION 2 (Rates of change) A.J.Hobson

JUST THE MATHS UNIT NUMBER DIFFERENTIATION 2 (Rates of change) A.J.Hobson JUST THE MATHS UNIT NUMBER 10.2 DIFFERENTIATION 2 (Rates of change) by A.J.Hobson 10.2.1 Introuction 10.2.2 Average rates of change 10.2.3 Instantaneous rates of change 10.2.4 Derivatives 10.2.5 Exercises

More information

Chapter 3 Definitions and Theorems

Chapter 3 Definitions and Theorems Chapter 3 Definitions an Theorems (from 3.1) Definition of Tangent Line with slope of m If f is efine on an open interval containing c an the limit Δy lim Δx 0 Δx = lim f (c + Δx) f (c) = m Δx 0 Δx exists,

More information

Basic Differentiation Rules and Rates of Change. The Constant Rule

Basic Differentiation Rules and Rates of Change. The Constant Rule 460_00.q //04 4:04 PM Page 07 SECTION. Basic Differentiation Rules an Rates of Change 07 Section. The slope of a horizontal line is 0. Basic Differentiation Rules an Rates of Change Fin the erivative of

More information

Exam 2 Review Solutions

Exam 2 Review Solutions Exam Review Solutions 1. True or False, an explain: (a) There exists a function f with continuous secon partial erivatives such that f x (x, y) = x + y f y = x y False. If the function has continuous secon

More information

Math Notes on differentials, the Chain Rule, gradients, directional derivative, and normal vectors

Math Notes on differentials, the Chain Rule, gradients, directional derivative, and normal vectors Math 18.02 Notes on ifferentials, the Chain Rule, graients, irectional erivative, an normal vectors Tangent plane an linear approximation We efine the partial erivatives of f( xy, ) as follows: f f( x+

More information

Antiderivatives and Indefinite Integration

Antiderivatives and Indefinite Integration 60_00.q //0 : PM Page 8 8 CHAPTER Integration Section. EXPLORATION Fining Antierivatives For each erivative, escribe the original function F. a. F b. F c. F. F e. F f. F cos What strateg i ou use to fin

More information

x f(x) x f(x) approaching 1 approaching 0.5 approaching 1 approaching 0.

x f(x) x f(x) approaching 1 approaching 0.5 approaching 1 approaching 0. Engineering Mathematics 2 26 February 2014 Limits of functions Consier the function 1 f() = 1. The omain of this function is R + \ {1}. The function is not efine at 1. What happens when is close to 1?

More information

Differentiation ( , 9.5)

Differentiation ( , 9.5) Chapter 2 Differentiation (8.1 8.3, 9.5) 2.1 Rate of Change (8.2.1 5) Recall that the equation of a straight line can be written as y = mx + c, where m is the slope or graient of the line, an c is the

More information

AP Calculus AB One Last Mega Review Packet of Stuff. Take the derivative of the following. 1.) 3.) 5.) 7.) Determine the limit of the following.

AP Calculus AB One Last Mega Review Packet of Stuff. Take the derivative of the following. 1.) 3.) 5.) 7.) Determine the limit of the following. AP Calculus AB One Last Mega Review Packet of Stuff Name: Date: Block: Take the erivative of the following. 1.) x (sin (5x)).) x (etan(x) ) 3.) x (sin 1 ( x3 )) 4.) x (x3 5x) 4 5.) x ( ex sin(x) ) 6.)

More information

Derivatives and the Product Rule

Derivatives and the Product Rule Derivatives an the Prouct Rule James K. Peterson Department of Biological Sciences an Department of Mathematical Sciences Clemson University January 28, 2014 Outline Differentiability Simple Derivatives

More information

Integration Review. May 11, 2013

Integration Review. May 11, 2013 Integration Review May 11, 2013 Goals: Review the funamental theorem of calculus. Review u-substitution. Review integration by parts. Do lots of integration eamples. 1 Funamental Theorem of Calculus In

More information

1 Lecture 20: Implicit differentiation

1 Lecture 20: Implicit differentiation Lecture 20: Implicit ifferentiation. Outline The technique of implicit ifferentiation Tangent lines to a circle Derivatives of inverse functions by implicit ifferentiation Examples.2 Implicit ifferentiation

More information

Math 342 Partial Differential Equations «Viktor Grigoryan

Math 342 Partial Differential Equations «Viktor Grigoryan Math 342 Partial Differential Equations «Viktor Grigoryan 6 Wave equation: solution In this lecture we will solve the wave equation on the entire real line x R. This correspons to a string of infinite

More information

Lagrangian and Hamiltonian Mechanics

Lagrangian and Hamiltonian Mechanics Lagrangian an Hamiltonian Mechanics.G. Simpson, Ph.. epartment of Physical Sciences an Engineering Prince George s Community College ecember 5, 007 Introuction In this course we have been stuying classical

More information

Further Differentiation and Applications

Further Differentiation and Applications Avance Higher Notes (Unit ) Prerequisites: Inverse function property; prouct, quotient an chain rules; inflexion points. Maths Applications: Concavity; ifferentiability. Real-Worl Applications: Particle

More information

Electric Charge and Electrostatic Force

Electric Charge and Electrostatic Force PHY 049 Lecture Notes Chapter : Page 1 of 8 Electric Charge an Electrostatic Force Contemporary vision: all forces of nature can be viewe as interaction between "charges", specific funamental properties

More information

Table of Common Derivatives By David Abraham

Table of Common Derivatives By David Abraham Prouct an Quotient Rules: Table of Common Derivatives By Davi Abraham [ f ( g( ] = [ f ( ] g( + f ( [ g( ] f ( = g( [ f ( ] g( g( f ( [ g( ] Trigonometric Functions: sin( = cos( cos( = sin( tan( = sec

More information

Math Test #2 Info and Review Exercises

Math Test #2 Info and Review Exercises Math 180 - Test #2 Info an Review Exercises Spring 2019, Prof. Beyler Test Info Date: Will cover packets #7 through #16. You ll have the entire class to finish the test. This will be a 2-part test. Part

More information

Unit #6 - Families of Functions, Taylor Polynomials, l Hopital s Rule

Unit #6 - Families of Functions, Taylor Polynomials, l Hopital s Rule Unit # - Families of Functions, Taylor Polynomials, l Hopital s Rule Some problems an solutions selecte or aapte from Hughes-Hallett Calculus. Critical Points. Consier the function f) = 54 +. b) a) Fin

More information

C6-1 Differentiation 2

C6-1 Differentiation 2 C6-1 Differentiation 2 the erivatives of sin, cos, a, e an ln Pre-requisites: M5-4 (Raians), C5-7 (General Calculus) Estimate time: 2 hours Summary Lea-In Learn Solve Revise Answers Summary The erivative

More information

Physics 2212 K Quiz #2 Solutions Summer 2016

Physics 2212 K Quiz #2 Solutions Summer 2016 Physics 1 K Quiz # Solutions Summer 016 I. (18 points) A positron has the same mass as an electron, but has opposite charge. Consier a positron an an electron at rest, separate by a istance = 1.0 nm. What

More information

Single Variable Calculus Warnings

Single Variable Calculus Warnings Single Variable Calculus Warnings These notes highlight number of common, but serious, first year calculus errors. Warning. The formula g(x) = g(x) is vali only uner the hypothesis g(x). Discussion. In

More information

Torque OBJECTIVE INTRODUCTION APPARATUS THEORY

Torque OBJECTIVE INTRODUCTION APPARATUS THEORY Torque OBJECTIVE To verify the rotational an translational conitions for equilibrium. To etermine the center of ravity of a rii boy (meter stick). To apply the torque concept to the etermination of an

More information

Solutions to MATH 271 Test #3H

Solutions to MATH 271 Test #3H Solutions to MATH 71 Test #3H This is the :4 class s version of the test. See pages 4 7 for the 4:4 class s. (1) (5 points) Let a k = ( 1)k. Is a k increasing? Decreasing? Boune above? Boune k below? Convergant

More information

Section 2.1 The Derivative and the Tangent Line Problem

Section 2.1 The Derivative and the Tangent Line Problem Chapter 2 Differentiation Course Number Section 2.1 The Derivative an the Tangent Line Problem Objective: In this lesson you learne how to fin the erivative of a function using the limit efinition an unerstan

More information

Assignment 1. g i (x 1,..., x n ) dx i = 0. i=1

Assignment 1. g i (x 1,..., x n ) dx i = 0. i=1 Assignment 1 Golstein 1.4 The equations of motion for the rolling isk are special cases of general linear ifferential equations of constraint of the form g i (x 1,..., x n x i = 0. i=1 A constraint conition

More information

MATH , 06 Differential Equations Section 03: MWF 1:00pm-1:50pm McLaury 306 Section 06: MWF 3:00pm-3:50pm EEP 208

MATH , 06 Differential Equations Section 03: MWF 1:00pm-1:50pm McLaury 306 Section 06: MWF 3:00pm-3:50pm EEP 208 MATH 321-03, 06 Differential Equations Section 03: MWF 1:00pm-1:50pm McLaury 306 Section 06: MWF 3:00pm-3:50pm EEP 208 Instructor: Brent Deschamp Email: brent.eschamp@ssmt.eu Office: McLaury 316B Phone:

More information

More from Lesson 6 The Limit Definition of the Derivative and Rules for Finding Derivatives.

More from Lesson 6 The Limit Definition of the Derivative and Rules for Finding Derivatives. Math 1314 ONLINE More from Lesson 6 The Limit Definition of the Derivative an Rules for Fining Derivatives Eample 4: Use the Four-Step Process for fining the erivative of the function Then fin f (1) f(

More information

Lecture 16: The chain rule

Lecture 16: The chain rule Lecture 6: The chain rule Nathan Pflueger 6 October 03 Introuction Toay we will a one more rule to our toolbo. This rule concerns functions that are epresse as compositions of functions. The iea of a composition

More information

Chapter 2 Derivatives

Chapter 2 Derivatives Chapter Derivatives Section. An Intuitive Introuction to Derivatives Consier a function: Slope function: Derivative, f ' For each, the slope of f is the height of f ' Where f has a horizontal tangent line,

More information

II. First variation of functionals

II. First variation of functionals II. First variation of functionals The erivative of a function being zero is a necessary conition for the etremum of that function in orinary calculus. Let us now tackle the question of the equivalent

More information

The Principle of Least Action

The Principle of Least Action Chapter 7. The Principle of Least Action 7.1 Force Methos vs. Energy Methos We have so far stuie two istinct ways of analyzing physics problems: force methos, basically consisting of the application of

More information

and from it produce the action integral whose variation we set to zero:

and from it produce the action integral whose variation we set to zero: Lagrange Multipliers Monay, 6 September 01 Sometimes it is convenient to use reunant coorinates, an to effect the variation of the action consistent with the constraints via the metho of Lagrange unetermine

More information

Optimization Notes. Note: Any material in red you will need to have memorized verbatim (more or less) for tests, quizzes, and the final exam.

Optimization Notes. Note: Any material in red you will need to have memorized verbatim (more or less) for tests, quizzes, and the final exam. MATH 2250 Calculus I Date: October 5, 2017 Eric Perkerson Optimization Notes 1 Chapter 4 Note: Any material in re you will nee to have memorize verbatim (more or less) for tests, quizzes, an the final

More information

Lectures - Week 10 Introduction to Ordinary Differential Equations (ODES) First Order Linear ODEs

Lectures - Week 10 Introduction to Ordinary Differential Equations (ODES) First Order Linear ODEs Lectures - Week 10 Introuction to Orinary Differential Equations (ODES) First Orer Linear ODEs When stuying ODEs we are consiering functions of one inepenent variable, e.g., f(x), where x is the inepenent

More information

Convergence of Random Walks

Convergence of Random Walks Chapter 16 Convergence of Ranom Walks This lecture examines the convergence of ranom walks to the Wiener process. This is very important both physically an statistically, an illustrates the utility of

More information

This file is /conf/snippets/setheader.pg you can use it as a model for creating files which introduce each problem set.

This file is /conf/snippets/setheader.pg you can use it as a model for creating files which introduce each problem set. Yanimov Almog WeBWorK assignment number Sections 3. 3.2 is ue : 08/3/207 at 03:2pm CDT. Te (* replace wit url for te course ome page *) for te course contains te syllabus, graing policy an oter information.

More information

Solutions to Practice Problems Tuesday, October 28, 2008

Solutions to Practice Problems Tuesday, October 28, 2008 Solutions to Practice Problems Tuesay, October 28, 2008 1. The graph of the function f is shown below. Figure 1: The graph of f(x) What is x 1 + f(x)? What is x 1 f(x)? An oes x 1 f(x) exist? If so, what

More information

Integration by Parts

Integration by Parts Integration by Parts 6-3-207 If u an v are functions of, the Prouct Rule says that (uv) = uv +vu Integrate both sies: (uv) = uv = uv + u v + uv = uv vu, vu v u, I ve written u an v as shorthan for u an

More information

3.7 Implicit Differentiation -- A Brief Introduction -- Student Notes

3.7 Implicit Differentiation -- A Brief Introduction -- Student Notes Fin these erivatives of these functions: y.7 Implicit Differentiation -- A Brief Introuction -- Stuent Notes tan y sin tan = sin y e = e = Write the inverses of these functions: y tan y sin How woul we

More information

Implicit Differentiation and Related Rates

Implicit Differentiation and Related Rates Implicit Differentiation an Relate Rates Up until now ou have been fining the erivatives of functions that have alrea been solve for their epenent variable. However, there are some functions that cannot

More information

Calculus I Sec 2 Practice Test Problems for Chapter 4 Page 1 of 10

Calculus I Sec 2 Practice Test Problems for Chapter 4 Page 1 of 10 Calculus I Sec 2 Practice Test Problems for Chapter 4 Page 1 of 10 This is a set of practice test problems for Chapter 4. This is in no way an inclusive set of problems there can be other types of problems

More information

Exam 2 Answers Math , Fall log x dx = x log x x + C. log u du = 1 3

Exam 2 Answers Math , Fall log x dx = x log x x + C. log u du = 1 3 Exam Answers Math -, Fall 7. Show, using any metho you like, that log x = x log x x + C. Answer: (x log x x+c) = x x + log x + = log x. Thus log x = x log x x+c.. Compute these. Remember to put boxes aroun

More information

UNDERSTANDING INTEGRATION

UNDERSTANDING INTEGRATION UNDERSTANDING INTEGRATION Dear Reaer The concept of Integration, mathematically speaking, is the "Inverse" of the concept of result, the integration of, woul give us back the function f(). This, in a way,

More information

Experiment I Electric Force

Experiment I Electric Force Experiment I Electric Force Twenty-five hunre years ago, the Greek philosopher Thales foun that amber, the harene sap from a tree, attracte light objects when rubbe. Only twenty-four hunre years later,

More information

You should also review L Hôpital s Rule, section 3.6; follow the homework link above for exercises.

You should also review L Hôpital s Rule, section 3.6; follow the homework link above for exercises. BEFORE You Begin Calculus II If it has been awhile since you ha Calculus, I strongly suggest that you refresh both your ifferentiation an integration skills. I woul also like to remin you that in Calculus,

More information

G j dq i + G j. q i. = a jt. and

G j dq i + G j. q i. = a jt. and Lagrange Multipliers Wenesay, 8 September 011 Sometimes it is convenient to use reunant coorinates, an to effect the variation of the action consistent with the constraints via the metho of Lagrange unetermine

More information

Multiple-Choice Questions

Multiple-Choice Questions Multiple-Choice Questions 1. A rock is thrown straight up from the edge of a cliff. The rock reaches the maximum height of 15 m above the edge and then falls down to the bottom of the cliff 35 m below

More information

AP Calculus. Derivatives and Their Applications. Presenter Notes

AP Calculus. Derivatives and Their Applications. Presenter Notes AP Calculus Derivatives an Their Applications Presenter Notes 2017 2018 EDITION Copyright 2017 National Math + Science Initiative, Dallas, Texas. All rights reserve. Visit us online at www.nms.org Copyright

More information

Designing Information Devices and Systems II Fall 2017 Note Theorem: Existence and Uniqueness of Solutions to Differential Equations

Designing Information Devices and Systems II Fall 2017 Note Theorem: Existence and Uniqueness of Solutions to Differential Equations EECS 6B Designing Information Devices an Systems II Fall 07 Note 3 Secon Orer Differential Equations Secon orer ifferential equations appear everywhere in the real worl. In this note, we will walk through

More information

A. Incorrect! The letter t does not appear in the expression of the given integral

A. Incorrect! The letter t does not appear in the expression of the given integral AP Physics C - Problem Drill 1: The Funamental Theorem of Calculus Question No. 1 of 1 Instruction: (1) Rea the problem statement an answer choices carefully () Work the problems on paper as neee (3) Question

More information

Free rotation of a rigid body 1 D. E. Soper 2 University of Oregon Physics 611, Theoretical Mechanics 5 November 2012

Free rotation of a rigid body 1 D. E. Soper 2 University of Oregon Physics 611, Theoretical Mechanics 5 November 2012 Free rotation of a rigi boy 1 D. E. Soper 2 University of Oregon Physics 611, Theoretical Mechanics 5 November 2012 1 Introuction In this section, we escribe the motion of a rigi boy that is free to rotate

More information

The Principle of Least Action and Designing Fiber Optics

The Principle of Least Action and Designing Fiber Optics University of Southampton Department of Physics & Astronomy Year 2 Theory Labs The Principle of Least Action an Designing Fiber Optics 1 Purpose of this Moule We will be intereste in esigning fiber optic

More information

Lecture 6: Calculus. In Song Kim. September 7, 2011

Lecture 6: Calculus. In Song Kim. September 7, 2011 Lecture 6: Calculus In Song Kim September 7, 20 Introuction to Differential Calculus In our previous lecture we came up with several ways to analyze functions. We saw previously that the slope of a linear

More information

AP Physics 1 Summer Assignment 2016

AP Physics 1 Summer Assignment 2016 AP Physics 1 Summer Assignment 2016 You need to do this assignment on your own paper AND YOU MUST SHOW ALL OF YOUR WORK TO RECEIVE CREDIT. You can put the answers on this assignment sheet or you can put

More information

Contents. Contents. Matrices. Contents. Objectives. Matrices

Contents. Contents. Matrices. Contents. Objectives. Matrices 9/8/7 Physics for Majors Class 8 Matrices and Lorentz s Space-time Four- Last Class Test Review Scalars and vectors Three-vectors and four-vectors The energy-momentum four-vector Rotations about the z

More information

x = c of N if the limit of f (x) = L and the right-handed limit lim f ( x)

x = c of N if the limit of f (x) = L and the right-handed limit lim f ( x) Limit We say the limit of f () as approaches c equals L an write, lim L. One-Sie Limits (Left an Right-Hane Limits) Suppose a function f is efine near but not necessarily at We say that f has a left-hane

More information

TMA 4195 Matematisk modellering Exam Tuesday December 16, :00 13:00 Problems and solution with additional comments

TMA 4195 Matematisk modellering Exam Tuesday December 16, :00 13:00 Problems and solution with additional comments Problem F U L W D g m 3 2 s 2 0 0 0 0 2 kg 0 0 0 0 0 0 Table : Dimension matrix TMA 495 Matematisk moellering Exam Tuesay December 6, 2008 09:00 3:00 Problems an solution with aitional comments The necessary

More information

Optimization of Geometries by Energy Minimization

Optimization of Geometries by Energy Minimization Optimization of Geometries by Energy Minimization by Tracy P. Hamilton Department of Chemistry University of Alabama at Birmingham Birmingham, AL 3594-140 hamilton@uab.eu Copyright Tracy P. Hamilton, 1997.

More information

The Chain Rule. d dx x(t) dx. dt (t)

The Chain Rule. d dx x(t) dx. dt (t) The Chain Rule The Problem You alreay routinely use the one imensional chain rule t f xt = f x xt x t t in oing computations like t sint2 = cost 2 2t In this example, fx = sinx an xt = t 2. We now generalize

More information

CHAPTER SEVEN. Solutions for Section x x t t4 4. ) + 4x = 7. 6( x4 3x4

CHAPTER SEVEN. Solutions for Section x x t t4 4. ) + 4x = 7. 6( x4 3x4 CHAPTER SEVEN 7. SOLUTIONS 6 Solutions for Section 7.. 5.. 4. 5 t t + t 5 5. 5. 6. t 8 8 + t4 4. 7. 6( 4 4 ) + 4 = 4 + 4. 5q 8.. 9. We break the antierivative into two terms. Since y is an antierivative

More information

Calculus Review. v = x t

Calculus Review. v = x t Calculus Review Instructor : Kim 1. Average Rate of Change and Instantaneous Velocity To find the average velocity(v ) of a particle, we need to find the particle s displacement (=change in position) divided

More information

Schrödinger s equation.

Schrödinger s equation. Physics 342 Lecture 5 Schröinger s Equation Lecture 5 Physics 342 Quantum Mechanics I Wenesay, February 3r, 2010 Toay we iscuss Schröinger s equation an show that it supports the basic interpretation of

More information

A Course in Machine Learning

A Course in Machine Learning A Course in Machine Learning Hal Daumé III 12 EFFICIENT LEARNING So far, our focus has been on moels of learning an basic algorithms for those moels. We have not place much emphasis on how to learn quickly.

More information

2-7. Fitting a Model to Data I. A Model of Direct Variation. Lesson. Mental Math

2-7. Fitting a Model to Data I. A Model of Direct Variation. Lesson. Mental Math Lesson 2-7 Fitting a Moel to Data I BIG IDEA If you etermine from a particular set of ata that y varies irectly or inversely as, you can graph the ata to see what relationship is reasonable. Using that

More information

A Second Time Dimension, Hidden in Plain Sight

A Second Time Dimension, Hidden in Plain Sight A Secon Time Dimension, Hien in Plain Sight Brett A Collins. In this paper I postulate the existence of a secon time imension, making five imensions, three space imensions an two time imensions. I will

More information

Outline. Calculus for the Life Sciences II. Introduction. Tides Introduction. Lecture Notes Differentiation of Trigonometric Functions

Outline. Calculus for the Life Sciences II. Introduction. Tides Introduction. Lecture Notes Differentiation of Trigonometric Functions Calculus for the Life Sciences II c Functions Joseph M. Mahaffy, mahaffy@math.ssu.eu Department of Mathematics an Statistics Dynamical Systems Group Computational Sciences Research Center San Diego State

More information

Static Equilibrium. Theory: The conditions for the mechanical equilibrium of a rigid body are (a) (b)

Static Equilibrium. Theory: The conditions for the mechanical equilibrium of a rigid body are (a) (b) LPC Physics A 00 Las Positas College, Physics Department Staff Purpose: To etermine that, for a boy in equilibrium, the following are true: The sum of the torques about any point is zero The sum of forces

More information

Construction of the Electronic Radial Wave Functions and Probability Distributions of Hydrogen-like Systems

Construction of the Electronic Radial Wave Functions and Probability Distributions of Hydrogen-like Systems Construction of the Electronic Raial Wave Functions an Probability Distributions of Hyrogen-like Systems Thomas S. Kuntzleman, Department of Chemistry Spring Arbor University, Spring Arbor MI 498 tkuntzle@arbor.eu

More information

CALCULUS 4 QUIZ #2 REVIEW / SPRING 09

CALCULUS 4 QUIZ #2 REVIEW / SPRING 09 CALCULUS QUIZ # REVIEW / SPRING 09 (.) Determine the following about the given quaric surfaces. (a.) Ientif & Sketch the quaric surface: +. 9 In planes parallel to the -plane an planes parallel to the

More information

DESCRIBING MOTION: KINEMATICS IN ONE DIMENSION. AP Physics Section 2-1 Reference Frames and Displacement

DESCRIBING MOTION: KINEMATICS IN ONE DIMENSION. AP Physics Section 2-1 Reference Frames and Displacement DESCRIBING MOTION: KINEMATICS IN ONE DIMENSION AP Physics Section 2-1 Reference Frames and Displacement Model the velocity of the ball from the time it leaves my hand till the time it hits the ground?

More information

4. Important theorems in quantum mechanics

4. Important theorems in quantum mechanics TFY4215 Kjemisk fysikk og kvantemekanikk - Tillegg 4 1 TILLEGG 4 4. Important theorems in quantum mechanics Before attacking three-imensional potentials in the next chapter, we shall in chapter 4 of this

More information

Section 3.1/3.2: Rules of Differentiation

Section 3.1/3.2: Rules of Differentiation : Rules of Differentiation Math 115 4 February 2018 Overview 1 2 Four Theorem for Derivatives Suppose c is a constant an f, g are ifferentiable functions. Then 1 2 3 4 x (c) = 0 x (x n ) = nx n 1 x [cf

More information

Contents. Objectives Velocity Addition CM Velocity 2 D Collisions totally inelastic elastic Recap. Contents

Contents. Objectives Velocity Addition CM Velocity 2 D Collisions totally inelastic elastic Recap. Contents Physics 121 for Majors totally in Class 16 totally in Velocity Addition and Collisions In Two Dimensions Last Class More on Work Potential Energy Conservation of Energy Power totally in Today s Class Adding

More information

d dx But have you ever seen a derivation of these results? We ll prove the first result below. cos h 1

d dx But have you ever seen a derivation of these results? We ll prove the first result below. cos h 1 Lecture 5 Some ifferentiation rules Trigonometric functions (Relevant section from Stewart, Seventh Eition: Section 3.3) You all know that sin = cos cos = sin. () But have you ever seen a erivation of

More information

Sturm-Liouville Theory

Sturm-Liouville Theory LECTURE 5 Sturm-Liouville Theory In the three preceing lectures I emonstrate the utility of Fourier series in solving PDE/BVPs. As we ll now see, Fourier series are just the tip of the iceberg of the theory

More information