LEIBNIZ INDIFFERENCE CURVES AND THE MARGINAL RATE OF SUBSTITUTION

Size: px
Start display at page:

Download "LEIBNIZ INDIFFERENCE CURVES AND THE MARGINAL RATE OF SUBSTITUTION"

Transcription

1 3.2.1 INDIFFERENCE CURVES AND THE MARGINAL RATE OF SUBSTITUTION Alexei cares about his exam grade and his free time. We have seen that his preferences can be represented graphically using indifference curves, and that his willingness to trade off grade points for free time his marginal rate of substitution is represented by the slope of the indifference curve. Here we show how to represent his preferences mathematically. Remember that an indifference curve joins together combinations of grade points and free time that give Alexei the same amount of utility. Preferences can be represented mathematically by writing down a utility function, which tells us how a person s units of utility depend on the goods available. Alexei only cares about two goods: his hours of free time and his exam grade. If he has units of free time and grade points, his utility is given by a function: Since both grade and free time are goods Alexei would like to have as much of each as possible the utility function must have the property that increasing either or would increase. In this case, we say that utility depends positively on and. Alexei s utility function has two arguments. Just as a function of one variable may be represented graphically by a curve on a plane, a function of two variables may be represented by a surface in three-dimensional space. Since three-dimensional diagrams are awkward to handle, economists analyse utility graphically using the same technique that is used to represent the three-dimensional space we live in: a contour map. Contours are lines joining points of equal height above sea level. Similarly, indifference curves are the contours of the utility surface, joining points of equal utility. In Alexei s case, an indifference curve shows all the combinations of free time and exam grade that give him the same level of utility. The equation of a typical indifference curve is: utility A numerical indicator of the value that one places on an outcome, such that higher valued outcomes will be chosen over lower valued ones when both are feasible. indifference curve A curve of the points which indicate the combinations of goods that provide a given level of utility to the individual. where the constant stands for the utility level achieved on the curve. Different values of correspond to different indifference curves: if we increase we obtain a new indifference curve that is above and to the right of the old 1

2 one. You can see three of Alexei s indifference curves in Figure 3.6 of the text, which we reproduce as Figure 1 below. Figure 1 Mapping Alexei s preferences. The marginal rate of substitution Given any combination of free time and grade, Alexei s marginal rate of substitution (MRS) (that is, his willingness to trade grade points for an extra hour of free time) is given by the slope of the indifference curve through that point. How can we calculate the slope of the indifference curve? To do this, we need to use the partial derivatives of the utility function. For example, captures how utility changes as increases, holding constant. In economics the partial derivative is called the marginal utility of free time. Similarly is the marginal utility of grade points. We have already noted that utility depends positively on and. In other words, Alexei s marginal utilities are both positive. We calculate the slope of the indifference curve using a technique called implicit differentiation, which we shall meet again in later Leibnizes. In the present case, the method involves considering how exam grades would need to change if free time increased by a small amount, in order to keep utility constant. Suppose both and change by small amounts and. The small increments formula for functions of two variables gives an approximation to the change in utility, expressing it as the sum of a free time effect and an exam grade effect : If the changes and are such that Alexei stays on the same indifference curve, then his utility does not change; thus, which implies that 2

3 3.2.1 INDIFFERENCE CURVES AND THE MARGINAL RATE OF SUBSTITUTION Rearranging, The changes and together produce a small movement along an indifference curve. So if we now take the limit as, the left-hand side approaches the slope of that curve and the approximation becomes an equation. Thus the slope of the indifference curve through any point is given by the formula: The right-hand side of this equation is negative, since both marginal utilities are positive: increasing either free time or the exam grade increases Alexei s utility. Thus indifference curves slope downward, as in the diagram. To reduce confusion, we usually define the marginal rate of substitution (MRS) as the absolute value of the slope. So: marginal rate of substitution (MRS) The trade-off that a person is willing to make between two goods. At any point, this is the slope of the indifference curve. See also: marginal rate of transformation. or, in words, Defining the MRS as a positive number allows us to say, for example, that the MRS is higher (Alexei is more willing to trade off grade points for free time) at points where the indifference curve is steeper, whereas the slope of the indifference curve is more negative at such points. The MRS is the rate at which Alexei is prepared to trade grade points for additional hours of free time. The equation above, expressing the MRS as a ratio of marginal utilities, may be interpreted as follows: the MRS is approximately equal to the extra utility obtained from one more unit of free time, divided by the extra utility obtained from an additional grade point. As usual with interpretations of exact statements involving calculus in terms of individual units, the approximation is a good one if units are small quantities. Convex preferences Each indifference curve in Figure 1 becomes flatter as one moves along it to the right: Alexei s MRS falls if his free time becomes greater and his exam grade decreases in such a way as to keep his utility constant. This property of Alexei s preferences is known as diminishing marginal rate of substitution and is usually assumed when we draw indifference curves with two goods. Another way to describe this assumption is to note that Alexei s indifference curves are convex. In algebraic terms, if we rewrite the equation of an indifference curve in the form, then is a marginal rate of substitution (MRS) The trade-off that a person is willing to make between two goods. At any point, this is the slope of the indifference curve. See also: marginal rate of transformation. 3

4 Read more: Sections 14.2 (for the small increments formula) and 15.1 (for contours and implicit differentiation) of Malcolm Pemberton and Nicholas Rau Mathematics for economists: An introductory textbook, 4th ed. Manchester: Manchester University Press. decreasing and convex function of for given. We say that Alexei has convex preferences. A person whose preferences are convex always prefers mixtures of goods to extremes of either good. If we draw a line between two points on the same indifference curve, then each point on the line is a mixture of the two end-points. When the indifference curves are convex, all points on the line between the end-points give higher utility than the end-points. We shall give an example of a utility function displaying diminishing MRS in the next section. An example: The Cobb-Douglas utility function In this section, we look at a particular utility function that is often used in economic modelling. We derive expressions for the marginal utilities and the marginal rate of substitution, and verify their properties. As before, Alexei cares about free time and his exam grade. Suppose that his utility function is: where and are positive constants. This function has some very convenient mathematical properties. It is called a Cobb-Douglas function after the two people who introduced it into economics. To find the marginal utilities of free time and exam grade, we must find the partial derivatives of the utility function. Differentiating with respect to, we see that the marginal utility of free time is: We know from the utility function that, which gives us a simpler expression for the marginal utility of free time: Similarly, the marginal utility of the exam grade is: Notice that when and are positive, so is. Hence the assumption that is also positive implies that. Similarly, implies that. In other words, the assumption that both and are positive ensures that goods are good : Alexei s utility rises as free time or grade points increase. In the previous section, we defined the marginal rate of substitution (MRS) between free time and grade points as the absolute value of the slope of an indifference curve, and showed that it was equal to the ratio of the marginal utility of free time to the marginal utility of the exam grade. With the Cobb-Douglas utility function: 4

5 3.2.1 INDIFFERENCE CURVES AND THE MARGINAL RATE OF SUBSTITUTION The indifference curves are downward sloping in space, so as we move to the right along an indifference curve, rises and falls, and thus falls. Since and are positive, MRS also falls. Thus, the Cobb-Douglas utility function implies diminishing MRS. Read more: Sections 15.1 and 15.2 of Malcolm Pemberton and Nicholas Rau Mathematics for economists: An introductory textbook, 4th ed. Manchester: Manchester University Press. 5

Inputs and the Production Function

Inputs and the Production Function Chapter 6 ecture Slides Inputs and the Production Function Inputs (factors of production) are resources, such as labor, capital equipment, and raw materials, that are combined to produce finished goods.

More information

Econ 410: Micro Theory. Recall from last time. Production: Two Variable Inputs. Production: Two Variable Inputs

Econ 410: Micro Theory. Recall from last time. Production: Two Variable Inputs. Production: Two Variable Inputs Slide Slide Econ 0: Micro Theory Production with Multiple Variable Inputs Monday, October 9 th, 007 When both types of inputs become variable, the same amount of output can be produced with different amounts

More information

14.4. Tangent Planes. Tangent Planes. Tangent Planes. Tangent Planes. Partial Derivatives. Tangent Planes and Linear Approximations

14.4. Tangent Planes. Tangent Planes. Tangent Planes. Tangent Planes. Partial Derivatives. Tangent Planes and Linear Approximations 14 Partial Derivatives 14.4 and Linear Approximations Copyright Cengage Learning. All rights reserved. Copyright Cengage Learning. All rights reserved. Suppose a surface S has equation z = f(x, y), where

More information

Chapter 6. The Production Function. Production Jargon. Production

Chapter 6. The Production Function. Production Jargon. Production Chapter 6 Production The Production Function A production function tells us the maximum output a firm can produce (in a given period) given available inputs. It is the economist s way of describing technology

More information

Goals: To study constrained optimization; that is, the maximizing or minimizing of a function subject to a constraint (or side condition).

Goals: To study constrained optimization; that is, the maximizing or minimizing of a function subject to a constraint (or side condition). Unit #23 : Lagrange Multipliers Goals: To study constrained optimization; that is, the maximizing or minimizing of a function subject to a constraint (or side condition). Constrained Optimization - Examples

More information

11.2 LIMITS AND CONTINUITY

11.2 LIMITS AND CONTINUITY 11. LIMITS AND CONTINUITY INTRODUCTION: Consider functions of one variable y = f(x). If you are told that f(x) is continuous at x = a, explain what the graph looks like near x = a. Formal definition of

More information

OBJECTIVE. Explain how managers should determine the optimal method of production by applying an understanding of production processes

OBJECTIVE. Explain how managers should determine the optimal method of production by applying an understanding of production processes OBJECTIVE Explain how managers should determine the optimal method of production by applying an understanding of production processes Theory of the Firm We said we were going to deal with most problems

More information

Paper Folding: Maximizing the Area of a Triangle Algebra 2

Paper Folding: Maximizing the Area of a Triangle Algebra 2 Paper Folding: Maximizing the Area of a Triangle Algebra (This lesson was developed by Jan Baysden of Hoggard High School and Julie Fonvielle of Whiteville High School during the Leading to Success in

More information

Section 15.3 Partial Derivatives

Section 15.3 Partial Derivatives Section 5.3 Partial Derivatives Differentiating Functions of more than one Variable. Basic Definitions In single variable calculus, the derivative is defined to be the instantaneous rate of change of a

More information

GLOBAL EDITION. Introduction to Agricultural Economics SIXTH EDITION. John B. Penson, Jr. Oral Capps, Jr. C. Parr Rosson III Richard T.

GLOBAL EDITION. Introduction to Agricultural Economics SIXTH EDITION. John B. Penson, Jr. Oral Capps, Jr. C. Parr Rosson III Richard T. GLOL EDITION Penson, Jr. Capps, Jr. Rosson III Woodward Introduction to gricultural Economics SIXTH EDITION John. Penson, Jr. Oral Capps, Jr. C. Parr Rosson III Richard T. Woodward economics of input

More information

Calculus of Several Variables

Calculus of Several Variables Benjamin McKay Calculus of Several Variables Optimisation and Finance February 18, 2018 This work is licensed under a Creative Commons Attribution-ShareAlike 3.0 Unported License. Preface The course is

More information

Maxima and Minima. Terminology note: Do not confuse the maximum f(a, b) (a number) with the point (a, b) where the maximum occurs.

Maxima and Minima. Terminology note: Do not confuse the maximum f(a, b) (a number) with the point (a, b) where the maximum occurs. 10-11-2010 HW: 14.7: 1,5,7,13,29,33,39,51,55 Maxima and Minima In this very important chapter, we describe how to use the tools of calculus to locate the maxima and minima of a function of two variables.

More information

2. MANAGERIAL ECONOMICS

2. MANAGERIAL ECONOMICS Subject Paper No and Title Module No and Title Module Tag 2. MANAGERIAL ECONOMICS 15. PRODUCER S EQUILIBRIUM COM_P2_M15 TABLE OF CONTENTS 1. Learning Outcomes 2. Introduction 3. Isoquants 4. Properties

More information

MATH 12 CLASS 9 NOTES, OCT Contents 1. Tangent planes 1 2. Definition of differentiability 3 3. Differentials 4

MATH 12 CLASS 9 NOTES, OCT Contents 1. Tangent planes 1 2. Definition of differentiability 3 3. Differentials 4 MATH 2 CLASS 9 NOTES, OCT 0 20 Contents. Tangent planes 2. Definition of differentiability 3 3. Differentials 4. Tangent planes Recall that the derivative of a single variable function can be interpreted

More information

Chapter 6 Production

Chapter 6 Production Chapter 6 Production Read Pindyck and Rubinfeld (2013), Chapter 6 2/5/2015 CHAPTER 6 OUTLINE 6.1 The Technology of Production 6.2 Production with One Variable Input (Labor) 6.3 Production with Two Variable

More information

14.1 Functions of Several Variables

14.1 Functions of Several Variables 14 Partial Derivatives 14.1 Functions of Several Variables Copyright Cengage Learning. All rights reserved. 1 Copyright Cengage Learning. All rights reserved. Functions of Several Variables In this section

More information

Production C H A P T E R. Prepared by: Fernando & Yvonn Quijano

Production C H A P T E R. Prepared by: Fernando & Yvonn Quijano C H A P T E R 6 Production Prepared by: Fernando & Yvonn Quijano CHAPTER 3 OUTLINE 6.1 The Technology of Production 6.2 Production with One Variable Input (Labor) 6.3 Production with Two Variable Inputs

More information

Economics 101 Spring 2017 Answers to Homework #1 Due Thursday, Feburary 9, 2017

Economics 101 Spring 2017 Answers to Homework #1 Due Thursday, Feburary 9, 2017 Economics 101 Spring 2017 Answers to Homework #1 Due Thursday, Feburary 9, 2017 Directions: The homework will be collected in a box before the large lecture. Please place your name, TA name and section

More information

Production C H A P T E R. Production CHAPTER 6 OUTLINE. 6.1 The Technology of Production. 6.2 Production with One Variable Input (Labor)

Production C H A P T E R. Production CHAPTER 6 OUTLINE. 6.1 The Technology of Production. 6.2 Production with One Variable Input (Labor) C H A P T E R 6 Production Prepared by: Fernando & Yvonn Quijano CHAPTER 6 OUTLINE 6.1 The Technology of Production Production with One Variable Input (Labor) Production with Two Variable Inputs 6.4 Returns

More information

Firms and Production Class- FY B.Com /SYBA. By Asst.Prof.Dr.D.R.Vasave

Firms and Production Class- FY B.Com /SYBA. By Asst.Prof.Dr.D.R.Vasave Firms and Production Class- FY B.Com /SYBA By Asst.Prof.Dr.D.R.Vasave Topics The Ownership and Management of Firms. Production. Short-Run Production: One Variable and One Fixed Input. Long-Run Production:

More information

INTRODUCTION TO LOGARITHMS

INTRODUCTION TO LOGARITHMS INTRODUCTION TO LOGARITHMS Dear Reader Logarithms are a tool originally designed to simplify complicated arithmetic calculations. They were etensively used before the advent of calculators. Logarithms

More information

Production Functions. Production Function - Basic Model for Modeling Engineering Systems

Production Functions. Production Function - Basic Model for Modeling Engineering Systems Outline Production Functions 1. Definition 2. Technical Efficiency 3. Mathematical Representation 4. Characteristics Massachusetts Institute of Technology Production Functions Slide 1 of 22 Production

More information

Level Curves, Partial Derivatives

Level Curves, Partial Derivatives Unit #18 : Level Curves, Partial Derivatives Goals: To learn how to use and interpret contour diagrams as a way of visualizing functions of two variables. To study linear functions of two variables. To

More information

Double-Angle, Half-Angle, and Reduction Formulas

Double-Angle, Half-Angle, and Reduction Formulas Double-Angle, Half-Angle, and Reduction Formulas By: OpenStaxCollege Bicycle ramps for advanced riders have a steeper incline than those designed for novices. Bicycle ramps made for competition (see [link])

More information

Agricultural Production Economics: The Art of Production Theory

Agricultural Production Economics: The Art of Production Theory University of Kentucky UKnowledge Agricultural Economics Textbook Gallery Agricultural Economics -1 Agricultural Production Economics: The Art of Production Theory David L. Debertin University of Kentucky,

More information

MATH 105: Midterm #1 Practice Problems

MATH 105: Midterm #1 Practice Problems Name: MATH 105: Midterm #1 Practice Problems 1. TRUE or FALSE, plus explanation. Give a full-word answer TRUE or FALSE. If the statement is true, explain why, using concepts and results from class to justify

More information

Year 11 Graphing Notes

Year 11 Graphing Notes Year 11 Graphing Notes Terminology It is very important that students understand, and always use, the correct terms. Indeed, not understanding or using the correct terms is one of the main reasons students

More information

ES 111 Mathematical Methods in the Earth Sciences Lecture Outline 6 - Tues 17th Oct 2017 Functions of Several Variables and Partial Derivatives

ES 111 Mathematical Methods in the Earth Sciences Lecture Outline 6 - Tues 17th Oct 2017 Functions of Several Variables and Partial Derivatives ES 111 Mathematical Methods in the Earth Sciences Lecture Outline 6 - Tues 17th Oct 2017 Functions of Several Variables and Partial Derivatives So far we have dealt with functions of the form y = f(x),

More information

Mathematics Success Grade 8

Mathematics Success Grade 8 Mathematics Success Grade 8 T429 [OBJECTIVE] The student will solve systems of equations by graphing. [PREREQUISITE SKILLS] solving equations [MATERIALS] Student pages S207 S220 Rulers [ESSENTIAL QUESTIONS]

More information

Lecture 19 - Partial Derivatives and Extrema of Functions of Two Variables

Lecture 19 - Partial Derivatives and Extrema of Functions of Two Variables Lecture 19 - Partial Derivatives and Extrema of Functions of Two Variables 19.1 Partial Derivatives We wish to maximize functions of two variables. This will involve taking derivatives. Example: Consider

More information

Production Functions. Class- M.A by Asst.Prof.amol s. bavaskar

Production Functions. Class- M.A by Asst.Prof.amol s. bavaskar Production Functions. Class- M.A by Asst.Prof.amol s. bavaskar PRODUCTION AND COSTS: THE SHORT RUN Production An entrepreneur must put together resources -- land, labour, capital -- and produce a product

More information

Mathematics Success Grade 8

Mathematics Success Grade 8 T936 Mathematics Success Grade 8 [OBJECTIVE] The student will find the line of best fit for a scatter plot, interpret the equation and y-intercept of the linear representation, and make predictions based

More information

EXERCISES CHAPTER 11. z = f(x, y) = A x α 1. x y ; (3) z = x2 + 4x + 2y. Graph the domain of the function and isoquants for z = 1 and z = 2.

EXERCISES CHAPTER 11. z = f(x, y) = A x α 1. x y ; (3) z = x2 + 4x + 2y. Graph the domain of the function and isoquants for z = 1 and z = 2. EXERCISES CHAPTER 11 1. (a) Given is a Cobb-Douglas function f : R 2 + R with z = f(x, y) = A x α 1 1 x α 2 2, where A = 1, α 1 = 1/2 and α 2 = 1/2. Graph isoquants for z = 1 and z = 2 and illustrate the

More information

Find the equation of a line given its slope and y-intercept. (Problem Set exercises 1 6 are similar.)

Find the equation of a line given its slope and y-intercept. (Problem Set exercises 1 6 are similar.) Directions Each problem below is similar to the example with the same number in your textbook. After reading through an example in your textbook, or watching one of the videos of that example on MathTV,

More information

Lesson 16: The Computation of the Slope of a Non Vertical Line

Lesson 16: The Computation of the Slope of a Non Vertical Line ++ Lesson 16: The Computation of the Slope of a Non Vertical Line Student Outcomes Students use similar triangles to explain why the slope is the same between any two distinct points on a non vertical

More information

LECTURE 8: SPECIAL PRODUCTION FUNCTIONS, PART II ANSWERS AND SOLUTIONS. True/False Questions

LECTURE 8: SPECIAL PRODUCTION FUNCTIONS, PART II ANSWERS AND SOLUTIONS. True/False Questions LECTURE 8: SPECIAL PRODUCTION FUNCTIONS, PART II ANSWERS AND SOLUTIONS True/False Questions False_ The elasticity of scale of a fixed proportions production function is not defined because the fixed proportions

More information

Micro Production and Cost Essentials 2 WCC

Micro Production and Cost Essentials 2 WCC Micro Production and Cost Essentials 2 WCC In our previous example, we considered how output changes when we change one, and only one, input. This gave us the TPP curve. We then developed a rule to help

More information

TenMarks Curriculum Alignment Guide: EngageNY/Eureka Math, Grade 7

TenMarks Curriculum Alignment Guide: EngageNY/Eureka Math, Grade 7 EngageNY Module 1: Ratios and Proportional Relationships Topic A: Proportional Relationships Lesson 1 Lesson 2 Lesson 3 Understand equivalent ratios, rate, and unit rate related to a Understand proportional

More information

Partial Differentiation 1 Introduction

Partial Differentiation 1 Introduction Partial Differentiation 1 Introduction In the first part of this course you have met the idea of a derivative. To recap what this means, recall that if you have a function, z say, then the slope of the

More information

Fixed input/factor of production: quantity of input is fixed regardless of required

Fixed input/factor of production: quantity of input is fixed regardless of required Production Theory Short-Run v. Long-Run Fixed input/factor of production: quantity of input is fixed regardless of required output level, e.g. capital or specialized labour Variable input/factor of production:

More information

MATH 135 Algebra, Solutions to Assignment 7

MATH 135 Algebra, Solutions to Assignment 7 MATH 135 Algebra, Solutions to Assignment 7 1: (a Find the smallest non-negative integer x such that x 41 (mod 9. Solution: The smallest such x is the remainder when 41 is divided by 9. We have 41 = 9

More information

MATH 8 FALL 2010 CLASS 27, 11/19/ Directional derivatives Recall that the definitions of partial derivatives of f(x, y) involved limits

MATH 8 FALL 2010 CLASS 27, 11/19/ Directional derivatives Recall that the definitions of partial derivatives of f(x, y) involved limits MATH 8 FALL 2010 CLASS 27, 11/19/2010 1 Directional derivatives Recall that the definitions of partial derivatives of f(x, y) involved limits lim h 0 f(a + h, b) f(a, b), lim h f(a, b + h) f(a, b) In these

More information

Lecture 4 : Monday April 6th

Lecture 4 : Monday April 6th Lecture 4 : Monday April 6th jacques@ucsd.edu Key concepts : Tangent hyperplane, Gradient, Directional derivative, Level curve Know how to find equation of tangent hyperplane, gradient, directional derivatives,

More information

2.1 Partial Derivatives

2.1 Partial Derivatives .1 Partial Derivatives.1.1 Functions of several variables Up until now, we have only met functions of single variables. From now on we will meet functions such as z = f(x, y) and w = f(x, y, z), which

More information

The following content is provided under a Creative Commons license. Your support will help

The following content is provided under a Creative Commons license. Your support will help MITOCW Lecture 4 The following content is provided under a Creative Commons license. Your support will help MIT OpenCourseWare continue to offer high quality educational resources for free. To make a donation

More information

Math 210: 1, 2 Calculus III Spring 2008

Math 210: 1, 2 Calculus III Spring 2008 Math 210: 1, 2 Calculus III Spring 2008 Professor: Pete Goetz CRN: 20128/20130 Office: BSS 358 Office Hours: Tuesday 4-5, Wednesday 1-2, Thursday 3-4, Friday 8-9, and by appointment. Phone: 826-3926 Email:

More information

Tennessee Senior Bridge Mathematics

Tennessee Senior Bridge Mathematics A Correlation of to the Mathematics Standards Approved July 30, 2010 Bid Category 13-130-10 A Correlation of, to the Mathematics Standards Mathematics Standards I. Ways of Looking: Revisiting Concepts

More information

Math 233. Extrema of Functions of Two Variables Basics

Math 233. Extrema of Functions of Two Variables Basics Math 233. Extrema of Functions of Two Variables Basics Theorem (Extreme Value Theorem) Let f be a continuous function of two variables x and y defined on a closed bounded region R in the xy-plane. Then

More information

4 The Cartesian Coordinate System- Pictures of Equations

4 The Cartesian Coordinate System- Pictures of Equations The Cartesian Coordinate System- Pictures of Equations Concepts: The Cartesian Coordinate System Graphs of Equations in Two Variables x-intercepts and y-intercepts Distance in Two Dimensions and the Pythagorean

More information

4-7 Point-Slope Form. Warm Up Lesson Presentation Lesson Quiz

4-7 Point-Slope Form. Warm Up Lesson Presentation Lesson Quiz Warm Up Lesson Presentation Lesson Quiz Holt Algebra McDougal 1 Algebra 1 Warm Up Find the slope of the line containing each pair of points. 1. (0, 2) and (3, 4) 2. ( 2, 8) and (4, 2) 1 3. (3, 3) and (12,

More information

Connected Mathematics 2, 6 th and 7th Grade Units 2009 Correlated to: Washington Mathematics Standards for Grade 5

Connected Mathematics 2, 6 th and 7th Grade Units 2009 Correlated to: Washington Mathematics Standards for Grade 5 Grade 5 5.1. Core Content: Multi-digit division (Operations, Algebra) 5.1.A Represent multi-digit division using place value models and connect the representation to the related equation. 5.1.B Determine

More information

Independence of Path and Conservative Vector Fields

Independence of Path and Conservative Vector Fields Independence of Path and onservative Vector Fields MATH 311, alculus III J. Robert Buchanan Department of Mathematics Summer 2011 Goal We would like to know conditions on a vector field function F(x, y)

More information

8.EE. Development from y = mx to y = mx + b DRAFT EduTron Corporation. Draft for NYSED NTI Use Only

8.EE. Development from y = mx to y = mx + b DRAFT EduTron Corporation. Draft for NYSED NTI Use Only 8.EE EduTron Corporation Draft for NYSED NTI Use Only TEACHER S GUIDE 8.EE.6 DERIVING EQUATIONS FOR LINES WITH NON-ZERO Y-INTERCEPTS Development from y = mx to y = mx + b DRAFT 2012.11.29 Teacher s Guide:

More information

Review Sheet for Math 230, Midterm exam 2. Fall 2006

Review Sheet for Math 230, Midterm exam 2. Fall 2006 Review Sheet for Math 230, Midterm exam 2. Fall 2006 October 31, 2006 The second midterm exam will take place: Monday, November 13, from 8:15 to 9:30 pm. It will cover chapter 15 and sections 16.1 16.4,

More information

Math + 4 (Red) SEMESTER 1. { Pg. 1 } Unit 1: Whole Number Sense. Unit 2: Whole Number Operations. Unit 3: Applications of Operations

Math + 4 (Red) SEMESTER 1.  { Pg. 1 } Unit 1: Whole Number Sense. Unit 2: Whole Number Operations. Unit 3: Applications of Operations Math + 4 (Red) This research-based course focuses on computational fluency, conceptual understanding, and problem-solving. The engaging course features new graphics, learning tools, and games; adaptive

More information

CIS 2033 Lecture 6, Spring 2017

CIS 2033 Lecture 6, Spring 2017 CIS 2033 Lecture 6, Spring 2017 Instructor: David Dobor February 2, 2017 In this lecture, we introduce the basic principle of counting, use it to count subsets, permutations, combinations, and partitions,

More information

E. Slope-Intercept Form and Direct Variation (pp )

E. Slope-Intercept Form and Direct Variation (pp ) and Direct Variation (pp. 32 35) For any two points, there is one and only one line that contains both points. This fact can help you graph a linear equation. Many times, it will be convenient to use the

More information

LINEAR EQUATIONS IN TWO VARIABLES

LINEAR EQUATIONS IN TWO VARIABLES LINEAR EQUATIONS IN TWO VARIABLES What You Should Learn Use slope to graph linear equations in two " variables. Find the slope of a line given two points on the line. Write linear equations in two variables.

More information

Exam 2 Review Sheet. r(t) = x(t), y(t), z(t)

Exam 2 Review Sheet. r(t) = x(t), y(t), z(t) Exam 2 Review Sheet Joseph Breen Particle Motion Recall that a parametric curve given by: r(t) = x(t), y(t), z(t) can be interpreted as the position of a particle. Then the derivative represents the particle

More information

10 GRAPHING LINEAR EQUATIONS

10 GRAPHING LINEAR EQUATIONS 0 GRAPHING LINEAR EQUATIONS We now expand our discussion of the single-variable equation to the linear equation in two variables, x and y. Some examples of linear equations are x+ y = 0, y = 3 x, x= 4,

More information

Rosen, Discrete Mathematics and Its Applications, 6th edition Extra Examples

Rosen, Discrete Mathematics and Its Applications, 6th edition Extra Examples Rosen, Discrete Mathematics and Its Applications, 6th edition Extra Examples Section 1.7 Proof Methods and Strategy Page references correspond to locations of Extra Examples icons in the textbook. p.87,

More information

MEASURING SHAPES M.K. HOME TUITION. Mathematics Revision Guides. Level: GCSE Foundation Tier

MEASURING SHAPES M.K. HOME TUITION. Mathematics Revision Guides. Level: GCSE Foundation Tier Mathematics Revision Guides Measuring Shapes Page 1 of 17 M.K. HOME TUITION Mathematics Revision Guides Level: GCSE Foundation Tier MEASURING SHAPES Version: 2.2 Date: 16-11-2015 Mathematics Revision Guides

More information

Honors Algebra 2 w/ Trigonometry Chapter 14: Trigonometric Identities & Equations Target Goals

Honors Algebra 2 w/ Trigonometry Chapter 14: Trigonometric Identities & Equations Target Goals Honors Algebra w/ Trigonometry Chapter 14: Trigonometric Identities & Equations Target Goals By the end of this chapter, you should be able to Identify trigonometric identities. (14.1) Factor trigonometric

More information

18.3. Stationary Points. Introduction. Prerequisites. Learning Outcomes

18.3. Stationary Points. Introduction. Prerequisites. Learning Outcomes Stationary Points 8.3 Introduction The calculation of the optimum value of a function of two variables is a common requirement in many areas of engineering, for example in thermodynamics. Unlike the case

More information

Supplementary Notes to. IIT JEE Physics. Topic-wise Complete Solutions

Supplementary Notes to. IIT JEE Physics. Topic-wise Complete Solutions Supplementary Notes to IIT JEE Physics Topic-wise Complete Solutions Geometrical Optics: Focal Length of a Concave Mirror and a Convex Lens using U-V Method Jitender Singh Shraddhesh Chaturvedi PsiPhiETC

More information

Mathematics (Project Maths Phase 2)

Mathematics (Project Maths Phase 2) 2013.M227 S Coimisiún na Scrúduithe Stáit State Examinations Commission Leaving Certificate Examination 2013 Sample Paper Mathematics (Project Maths Phase 2) Paper 1 Ordinary Level Time: 2 hours, 30 minutes

More information

y-intercept remains constant?

y-intercept remains constant? 1. The graph of a line that contains the points ( 1, 5) and (4, 5) is shown below. Which best represents this line if the slope is doubled and the y-intercept remains constant? F) G) H) J) 2. The graph

More information

Outcome 9 Review Foundations and Pre-Calculus 10

Outcome 9 Review Foundations and Pre-Calculus 10 Outcome 9 Review Foundations and Pre-Calculus 10 Level 2 Example: Writing an equation in slope intercept form Slope-Intercept Form: y = mx + b m = slope b = y-intercept Ex : Write the equation of a line

More information

Unit 2: Ratio & Proportion Applications

Unit 2: Ratio & Proportion Applications Time Frame: Approximately 3-4 Weeks Connections to previous learning: In Grade 6, students develop an understanding of ratio and proportion using ratio tables, tape diagrams, and double number lines. Focus

More information

37 Game Theory. Bebe b1 b2 b3. a Abe a a A Two-Person Zero-Sum Game

37 Game Theory. Bebe b1 b2 b3. a Abe a a A Two-Person Zero-Sum Game 37 Game Theory Game theory is one of the most interesting topics of discrete mathematics. The principal theorem of game theory is sublime and wonderful. We will merely assume this theorem and use it to

More information

Exponential and Logarithmic Functions. Copyright Cengage Learning. All rights reserved.

Exponential and Logarithmic Functions. Copyright Cengage Learning. All rights reserved. 5 Exponential and Logarithmic Functions Copyright Cengage Learning. All rights reserved. 5.3 Properties of Logarithms Copyright Cengage Learning. All rights reserved. Objectives Use the change-of-base

More information

MAT 140 SYLLABUS - ANALYTIC GEOMETRY AND CALCULUS I

MAT 140 SYLLABUS - ANALYTIC GEOMETRY AND CALCULUS I MAT 140 SYLLABUS - ANALYTIC GEOMETRY AND CALCULUS I ANDREW SCHWARTZ, PH.D. Catalog Description: 140-04 Analytic Geometry and Calculus I (Fall 2010) Analytic geometry, functions, limits, derivatives and

More information

Dynamic Programming. Objective

Dynamic Programming. Objective Dynamic Programming Richard de Neufville Professor of Engineering Systems and of Civil and Environmental Engineering MIT Massachusetts Institute of Technology Dynamic Programming Slide 1 of 35 Objective

More information

Similarly, the point marked in red below is a local minimum for the function, since there are no points nearby that are lower than it:

Similarly, the point marked in red below is a local minimum for the function, since there are no points nearby that are lower than it: Extreme Values of Multivariate Functions Our next task is to develop a method for determining local extremes of multivariate functions, as well as absolute extremes of multivariate functions on closed

More information

Reminders. Quiz today. Please bring a calculator to the quiz

Reminders. Quiz today. Please bring a calculator to the quiz Reminders Quiz today Please bring a calculator to the quiz 1 Regression Review (sort of Ch. 15) Warning: Outside of known textbook space Aaron Zimmerman STAT 220 - Summer 2014 Department of Statistics

More information

Analytic Geometry/ Trigonometry

Analytic Geometry/ Trigonometry Analytic Geometry/ Trigonometry Course Numbers 1206330, 1211300 Lake County School Curriculum Map Released 2010-2011 Page 1 of 33 PREFACE Teams of Lake County teachers created the curriculum maps in order

More information

Mathematics (Project Maths Phase 2)

Mathematics (Project Maths Phase 2) 013. M7 Coimisiún na Scrúduithe Stáit State Examinations Commission Leaving Certificate Examination 013 Mathematics (Project Maths Phase ) Paper 1 Ordinary Level Friday 7 June Afternoon :00 4:30 300 marks

More information

Study unit 5: Uncertainty and consumer behaviour

Study unit 5: Uncertainty and consumer behaviour 43 ECS2601/1/2012-14 Study unit 5: Uncertainty and consumer behaviour OMIT Omit pages 159-193. 44 ECS2601/1/2012-14 Study unit 6: Production Economics in action Feeding the job generator An adequate and

More information

Constructing Line Graphs*

Constructing Line Graphs* Appendix B Constructing Line Graphs* Suppose we are studying some chemical reaction in which a substance, A, is being used up. We begin with a large quantity (1 mg) of A, and we measure in some way how

More information

Economics 101 Spring 2015 Answers to Homework #1 Due Thursday, February 5, 2015

Economics 101 Spring 2015 Answers to Homework #1 Due Thursday, February 5, 2015 Economics 101 Spring 2015 Answers to Homework #1 Due Thursday, February 5, 2015 Directions: The homework will be collected in a box before the lecture. Please place your name on top of the homework (legibly).

More information

Algebra & Trig. 1. , then the slope of the line is given by

Algebra & Trig. 1. , then the slope of the line is given by Algebra & Trig. 1 1.4 and 1.5 Linear Functions and Slope Slope is a measure of the steepness of a line and is denoted by the letter m. If a nonvertical line passes through two distinct points x, y 1 1

More information

Using IBIS Models for Timing Analysis

Using IBIS Models for Timing Analysis Application Report SPRA839A - April 2003 Using IBIS Models for Timing Analysis ABSTRACT C6000 Hardware Applications Today s high-speed interfaces require strict timings and accurate system design. To achieve

More information

6.1 Slope of a Line Name: Date: Goal: Determine the slope of a line segment and a line.

6.1 Slope of a Line Name: Date: Goal: Determine the slope of a line segment and a line. 6.1 Slope of a Line Name: Date: Goal: Determine the slope of a line segment and a line. Toolkit: - Rate of change - Simplifying fractions Main Ideas: Definitions Rise: the vertical distance between two

More information

Unit 7 Partial Derivatives and Optimization

Unit 7 Partial Derivatives and Optimization Unit 7 Partial Derivatives and Optimization We have learned some important applications of the ordinary derivative in finding maxima and minima. We now move on to a topic called partial derivatives which

More information

Revised Course Outlines & Pattern of Examinations in the subject of Economics for BA/B.Sc. w.e.f. 1 st Annual Examinations 2018 & onwards

Revised Course Outlines & Pattern of Examinations in the subject of Economics for BA/B.Sc. w.e.f. 1 st Annual Examinations 2018 & onwards Annexure - 1 Revised Course Outlines & Pattern of Examinations in the subject of Economics for BA/B.Sc. w.e.f. 1 st Annual Examinations 2018 & onwards Paper A: Microeconomics &Basic Mathematical Economics

More information

Contents. Introduction to Keystone Algebra I...5. Module 1 Operations and Linear Equations & Inequalities...9

Contents. Introduction to Keystone Algebra I...5. Module 1 Operations and Linear Equations & Inequalities...9 Contents Introduction to Kestone Algebra I... Module Operations and Linear Equations & Inequalities...9 Unit : Operations with Real Numbers and Epressions, Part...9 Lesson Comparing Real Numbers A... Lesson

More information

Module 5 Trigonometric Identities I

Module 5 Trigonometric Identities I MAC 1114 Module 5 Trigonometric Identities I Learning Objectives Upon completing this module, you should be able to: 1. Recognize the fundamental identities: reciprocal identities, quotient identities,

More information

SET THEORY AND VENN DIAGRAMS

SET THEORY AND VENN DIAGRAMS Mathematics Revision Guides Set Theory and Venn Diagrams Page 1 of 26 M.K. HOME TUITION Mathematics Revision Guides Level: GCSE Higher Tier SET THEORY AND VENN DIAGRAMS Version: 2.1 Date: 15-10-2015 Mathematics

More information

Dynamic Programming. Objective

Dynamic Programming. Objective Dynamic Programming Richard de Neufville Professor of Engineering Systems and of Civil and Environmental Engineering MIT Massachusetts Institute of Technology Dynamic Programming Slide 1 of 43 Objective

More information

Mathematics Background

Mathematics Background For a more robust teacher experience, please visit Teacher Place at mathdashboard.com/cmp3 The Measurement Process While this Unit does not focus on the global aspects of what it means to measure, it does

More information

University of California, Berkeley Department of Mathematics 5 th November, 2012, 12:10-12:55 pm MATH 53 - Test #2

University of California, Berkeley Department of Mathematics 5 th November, 2012, 12:10-12:55 pm MATH 53 - Test #2 University of California, Berkeley epartment of Mathematics 5 th November, 212, 12:1-12:55 pm MATH 53 - Test #2 Last Name: First Name: Student Number: iscussion Section: Name of GSI: Record your answers

More information

NSCAS - Math Table of Specifications

NSCAS - Math Table of Specifications NSCAS - Math Table of Specifications MA 3. MA 3.. NUMBER: Students will communicate number sense concepts using multiple representations to reason, solve problems, and make connections within mathematics

More information

Siyavula textbooks: Grade 12 Maths. Collection Editor: Free High School Science Texts Project

Siyavula textbooks: Grade 12 Maths. Collection Editor: Free High School Science Texts Project Siyavula textbooks: Grade 12 Maths Collection Editor: Free High School Science Texts Project Siyavula textbooks: Grade 12 Maths Collection Editor: Free High School Science Texts Project Authors: Free

More information

Engage Examine the picture on the left. 1. What s happening? What is this picture about?

Engage Examine the picture on the left. 1. What s happening? What is this picture about? AP Physics Lesson 1.a Kinematics Graphical Analysis Outcomes Interpret graphical evidence of motion (uniform speed & uniform acceleration). Apply an understanding of position time graphs to novel examples.

More information

LIGHT REFLECTION AND REFRACTION

LIGHT REFLECTION AND REFRACTION LIGHT REFLECTION AND REFRACTION REFLECTION OF LIGHT A highly polished surface, such as a mirror, reflects most of the light falling on it. Laws of Reflection: (i) The angle of incidence is equal to the

More information

Math 259 Winter Recitation Handout 6: Limits in Two Dimensions

Math 259 Winter Recitation Handout 6: Limits in Two Dimensions Math 259 Winter 2009 Recitation Handout 6: its in Two Dimensions As we have discussed in lecture, investigating the behavior of functions with two variables, f(x, y), can be more difficult than functions

More information

Name: Date: Period: Activity 4.6.2: Point-Slope Form of an Equation. 0, 4 and moving to another point on the line using the slope.

Name: Date: Period: Activity 4.6.2: Point-Slope Form of an Equation. 0, 4 and moving to another point on the line using the slope. Name: Date: Period: Activity.6.2: Point-Slope Form of an Equation 1.) Graph the equation y x = + starting at ( ) 0, and moving to another point on the line using the slope. 2.) Now, draw another graph

More information

Aesthetically Pleasing Azulejo Patterns

Aesthetically Pleasing Azulejo Patterns Bridges 2009: Mathematics, Music, Art, Architecture, Culture Aesthetically Pleasing Azulejo Patterns Russell Jay Hendel Mathematics Department, Room 312 Towson University 7800 York Road Towson, MD, 21252,

More information

10.1 Curves defined by parametric equations

10.1 Curves defined by parametric equations Outline Section 1: Parametric Equations and Polar Coordinates 1.1 Curves defined by parametric equations 1.2 Calculus with Parametric Curves 1.3 Polar Coordinates 1.4 Areas and Lengths in Polar Coordinates

More information

Tasks for this target will ask students to graph one or more proportional relationships and connect the unit rate(s) to the context of the problem.

Tasks for this target will ask students to graph one or more proportional relationships and connect the unit rate(s) to the context of the problem. Grade 8 Math C1 TC Claim 1: Concepts and Procedures Students can explain and apply mathematical concepts and carry out mathematical procedures with precision and fluency. Content Domain: Expressions and

More information