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KENYATTA
UNIVERSITY
INSTITUTE OF OPEN DISTANCE & e-LEARNING
IN COLLABORATION WITH
SCHOOL OF ECONOMICS
DEPARTMENT: ECONOMETRICS AND STATISTICS
UNIT CODE & NAME:
EES 100 MATHEMATICS FOR ECONOMISTS I
WRITTEN BY:
DR AFLONIA N. MBUTHIA
EDITED BY:
MR. STEPHEN GITAHI N.
Rodgers Wesonga - 0723 063 404
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KENYATTA

UNIVERSITY

INSTITUTE OF OPEN DISTANCE & e-LEARNING

IN COLLABORATION WITH

SCHOOL OF ECONOMICS

DEPARTMENT: ECONOMETRICS AND STATISTICS

UNIT CODE & NAME:

EES 100 – MATHEMATICS FOR ECONOMISTS I

WRITTEN BY:

DR AFLONIA N. MBUTHIA

EDITED BY:

MR. STEPHEN GITAHI N.

Rodgers Wesonga - 0723 063 404

KENYATTA UNIVERSITY
SCHOOL OF ECONOMICS

EES 100: Mathematics for Economists I

COURSE OUTLINE
1. INTRODUCTION

 Need for Mathematics in Economic Analysis

2. SET THEORY  Introduction- Definitions  Methods of set representation  The Venn Diagram 3. FUNDEMENTAL TECHNIQUES IN ALGEBRA  Rules of Algebraic Operations  Exponentials and logarithms 4. LINEAR FUNCTIONS  The concept of a function  Functions of a single independent variable  Graphical presentation  The slope of linear functions  Models in Economic Analysis 5. NON-LINEAR FUNCTIONS AND MULTIVARIATE FUNCTIONS  Revenue Functions  Cost Functions  Profit Functions  Multivariate Functions  Equations and inequalities 6. LINEAR SIMULTANEOUS EQUATIONS  Solutions to linear simultaneous equations  Economic Application of linear simultaneous equations 7. DERIVATIVES AND DIFFERENTION  Slope of a linear function  Slope of a non-linear function  Rules of Differentiation  Economic Application of derivatives

CHAPTER 1
1.0 INTRODUCTION

1.1 Need for Mathematics in Economic Analysis

Mathematics is an invaluable tool at all levels of the study of economics, ranging from the statistical expression of real world trends to the development of fully abstract economic systems

  1. Mathematics provides foundations for empirical propositions about economic variables. Proposition like “a 10 percent increase in the price of a good causes a 5 percent drop in the quantity demanded of the good” is a mathematical expression of demand function.
  2. Statistics which is a branch of mathematics is used by economists to transform raw data from the real world into numerical generalizations. Such generalizations are used by economists to construct a network of interlocking relationships which enable them to draw conclusions about economic variables that are related to each other only directly.
  3. Economists construct mathematical representations (models) of markets and communities to understand better how they work. This is done by picking out the most important aspects of a situation and then expressing them mathematically. Thus the mathematical model reduces the complexity of the real world to manageable proportions
  4. Mathematics is also used to actively generate and explore new theoretical ideas. For example, economists use mathematical techniques such as logical deductions to derive theorems which apply to a wide variety of economic situations.

Courtesy of Rodgers Wesonga

  1. Mathematics is not only a powerful tool for gaining insights from models of the economy, but is also needed to broaden applicability of a model that is too narrowly constructed to be useful. for example, the simple models for production or sale of two goods, can be extended so as to handle more information at one time

universal set will be all the fresh water lakes in that country. The various classifications of the fresh water lakes in the country would be sub sets of the universal set

The notation U is generally used to denote universal sets. Given a universal set we can derive its subsets. for example if U = {1,2,3} the subsets are { }, {1}, {2}, {3}, {1,2}, {1,3}, {2,3} and {1,2,3}.

This means that both the Null set, {}, and the Universal set, U, are subsets of U

3. The Null set It is a set that contains no element hence is also referred to as the empty set. It is

designated by a Greek letter  or { }.

Note that the sets { } and {0} are not the same. The former has no element in it while the latter has one element in it.

4. Equal sets Two sets A and B are said to be equal if every member of a set A belongs to B and every element of set B belongs to A. That is the two sets contain the same elements. For example if A = {a, d. c. b} and B = {d, c a, b} are equal sets.

2.2 Methods of Set Representation

Capital letters are used to represent sets.

There are two different methods of representing members of a set. i) Descriptive method ii) Enumerative method

In the descriptive method , members of a set are presented in such a way that one can determine the elements of the set without difficulty. For example,

P   x x  0 , 1 , 2 ,..., 7  or P  x 0  x  7 

The enumerative method requires that one writes all the members of the set within the curly brackets. For example the set P could be written as follows P { 0 , 1 , 2 , 3 , 4 , 5 , 6 , 7 }

2.3 The Venn diagram

The Venn diagram provides a simple way of representing sets and relations between sets. It consists of a rectangle that represents the universal set. Subsets of the universal set are represented by circles drawn within the rectangle, or the universe. Consider the Venn diagram below;

In the Venn diagram above, U is the universal set, while A, B and C are subsets of U.

2.4 Set Operations

i) The intersection of sets Intersection of sets A and B, is a subset of U containing elements which belong to A and B. it is denoted by the symbol . It can also be represented diagrammatically as below. The shaded area represents the intersection of A and B

Numerical example 1

Given the universal set T and its subsets A and B

A
B
C
U
A B

Numerical example

Consider the universal set T and its subsets A, B and C below

c  a ce f 

B bc f

A ad

T abcd e f

Find AB , AC , BC , ABC

Solution

i) A  B  a , d   b , c , f   a , b , c , d , f 

ii) A  C  a , d   a , c , e , f   a , c , d , e , f 

iii) B  C  b , c , f   a , c , e , f   a , b , c , e , f 

iv) A^ ^ B  C  a^ , d ^  b^ , c , f ^ { a , c , e , f } a^ , b , c , d , e , f ^  T

iii) The complement of a set

The complement of as set A is a subset of U containing elements that do not belong to A. it is denoted by A '^ , represented by the shaded area in the figure below

Example

For universal set T  1 , 2 , 3 , 4 , 5 and its subsets A { 2 , 3 }and B { 5 }

A
B
U
A A '
B
A

Laws of Set algebra

Given the Venn diagram

Where T is a Universal set and A is its subset, the following laws can be deduced

A A
A A T
A T A
A A A
A A A
A T T
A A

From the Venn diagram two additional laws can be deduced that

C D D C
C D D C
A
T
C
D
T
  1. If two numbers have unlike signs, their quotient is negative. For example

3.1.3 Rules for combined operations

Many problems involve several operations. Sometimes there are brackets used for ordering the operations. For example;

The following rules will be useful in solving such problems.

  1. If brackets are present in a problem, first compute the expression within the brackets in the following order - First deal with multiplications and divisions - Then deal with additions and subtractions.

Numerical example

Evaluate  4  2  16   2  6  3  4  18  6  5  2 

Solution

Starting with the multiplication and division operations, then to additions and subtraction

  1. If brackets are absent in a problem, compute the problem in the following order
    • First deal with multiplications and divisions
    • Then deal with additions and subtractions

Example

Simplify the following

12  2  6  3  6  9  30  15

Solution

3.2 EXPONENTIALS AND LOGARITHMS
  1. Reciprocal Law

 

X ^ ^ X X   X

Example; (^5252533)

X
X X X X
X
X

3.2.2 Meaning of Logarithms

In the exponential expression yax , where a is the base and x the exponent, we say that

the logarithm of y to the base of a is x. that is to say that the logarithm of y to the base a is the power to which a must be raised so as to obtain y

Examples;

log 5 log 5 1

log 27 log 3 3

log 100 log 10 2

1 5 5

3 3 3

2 10 10

Laws of logarithmic operations

1. Multiplication law

log (^) a ( x. y )log ax log a y

2. Quotient law

x y y

x log (^) a (^) log a log a

3. Power law

log a ( x ^ ) log x

4. Logarithm of a number to its base

log (^) aa  1

CHAPTER 4
4.0 LINEAR FUNCTIONS

4.1 The Concept of a Function

A function is a mathematical relationship in which the values of a single dependent variable are determined from the values of one or more independent variables. That is, for every value assigned to the independent variable, a unique value of the dependent variable is determined. For example in the expression; yabx

both x and y are variables. This is because they may assume different values throughout the analysis. However, a and b are constants because they are fixed numbers.

The variable y is a dependent variable. It is dependent in that its values are generated from values of x. In this case x is an independent variable.

The collection of all the values of the independent variable for which the function is defined is referred to as the domain of the function, while the collection of all the values of the dependent variable defined by the function.

The functional relationship between variables can also be expressed generally as yf ( x )

The customary symbols used for denoting functions include f, F, g, G. in cases where two variables say y and z are different functions of an independent variable, x, then after denoting the functional relation between y and x as yf ( x ), a different notation should be used to represent the relation between z and x.

Courtesy of Rodgers Wesonga

coordinates.

Since the graph of a function y = f(x) is defined as the totality of all points whose coordinates satisfy the functional relationship. Therefore to draw the graph of a function, we need to obtain a set of ordered pairs (x, y) from the function by;  Assigning arbitrary values for the independent variable, x, and then  Calculating the corresponding values of the dependent variable. The points are then plotted on a coordinate plane.

Example

Draw the graph for the function y =4-2x

Solution

Assuming arbitrary values for x and calculating corresponding values of y for the function yields the following ordered pairs.

Plotting these ordered pairs of (x, y) on the coordinate plane and joining yields the following graph

x -2 -1 0 1 2 3 4 y 8 9 4 2 0 -2 -

x-axis

y-axis

P 1 (1, 3)
P 2 (-4,-2) *

Note that the graph of a linear function is a straight line. The simplest way to draw a straight line is to determine two ordered pairs of (x,y) that satisfy the function then draw the line. For example for the above example we could have just used two points, e.g. (0,4) and (2,0) to draw the graph thus;

-2 -1 0 1 *2 3 4 x-axis

y-axis

y = 4-2x

-2 -1 0 1 2 3 4 x-axis

y-axis

y = 4-2x