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Differential Calculus, Summaries of Mathematics

The fundamental concepts of differential calculus, including the definition of the derivative, the increment method, and the differentiation of various functions. It covers topics such as finding the slope of a tangent line, the equation of a tangent line and normal line, and the differentiation of functions with multiple variables. Detailed examples and step-by-step solutions to demonstrate the application of these concepts. It serves as a comprehensive resource for students studying differential calculus, covering topics such as limits, continuity, and the properties of derivatives. Likely to be useful for university-level mathematics courses, particularly those focused on differential calculus and its applications.

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MATH 401 DIFFERENTIAL CALCULUS
ii
Table of Contents
CHAPTER I Functions, Limits and Continuity
Definition and Notation of Functions 1
Domain and Range 4
Graph of Functions 7
Types of Functions 12
Operations on Functions 24
Limit of a Function 27
One sided Limits 32
Continuity 41
Chapter Test 45
CHAPTER II Derivatives of Algebraic Functions
Differentition 46
The Increment Method 49
Theories on Differentiation of Algebraic Functions 52
Higher order Derivatives 63
Implicit Differentiation 65
Chapter Test 68
CHAPTER III Derivatives of Transcendental Functions
Trigonometric Functions 69
Chain Rule of Derivatives of Trigonometric Functions 76
Implicit Differentiation of Trigonometric Functions 85
Derivatives of Inverse Trigonometric Functions 88
Chain Rule of Inverse Trigonometric Functions 91
Higher order Derivative of Inverse Trigonometric Functions 92
Implicit Differentiation of Inverse Trigonometric Functions 93
Logarithmic Functions 96
Higher order Derivatives of Logarithmic Functions 98
Implicit Differentiation of Lograithmic Functions 99
Logarithmic Differentiation 101
Exponential Functions 104
Chain Rule of the Derivatives of Exponential Functions 105
Higher order Derivaives of Exponential Functions 107
Implicit Differentiation of Exponential Functions 107
Hyperbolic Functions 112
Chain Rule of the Derivatives of Hyperbolic Functions 115
Higher order Derivatives of Hyperbolic Functions 118
Implicit Differentiation of Hyperbolic Functions 122
Chapter Test 123
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ii

Table of Contents

iii CHAPTER IV Applications of Derivatives of Algebraic and

  • Definition and Notation of Functions CHAPTER I Functions, Limits and Continuity
  • Domain and Range
  • Graph of Functions
  • Types of Functions
  • Operations on Functions
  • Limit of a Function
  • One – sided Limits
  • Continuity
  • Chapter Test
  • Differentition CHAPTER II Derivatives of Algebraic Functions
  • The Increment Method
  • Theories on Differentiation of Algebraic Functions
  • Higher order Derivatives
  • Implicit Differentiation
  • Chapter Test
  • Trigonometric Functions CHAPTER III Derivatives of Transcendental Functions
  • Chain Rule of Derivatives of Trigonometric Functions
  • Implicit Differentiation of Trigonometric Functions
  • Derivatives of Inverse Trigonometric Functions
  • Chain Rule of Inverse Trigonometric Functions
  • Higher – order Derivative of Inverse Trigonometric Functions
  • Implicit Differentiation of Inverse Trigonometric Functions
  • Logarithmic Functions
  • Higher – order Derivatives of Logarithmic Functions
  • Implicit Differentiation of Lograithmic Functions
  • Logarithmic Differentiation
  • Exponential Functions
  • Chain Rule of the Derivatives of Exponential Functions
  • Higher – order Derivaives of Exponential Functions
  • Implicit Differentiation of Exponential Functions
  • Hyperbolic Functions
  • Chain Rule of the Derivatives of Hyperbolic Functions
  • Higher – order Derivatives of Hyperbolic Functions
  • Implicit Differentiation of Hyperbolic Functions
  • Chapter Test
  • The Differential Transcendental Functions
  • Application of the Differential
  • Approximation Formulas
  • Error Propagation
  • Tangent Line and Normal Line to a given Curve
  • Relative Exrema
  • Increasing and Decresing Functions and the
  • Concavity, Points of Inflection and the Second First Derivative Test
  • Curve Tracing Derivative Test
  • Optimization Problems
  • Optimization Problems Involving Algebraic Functions
  • Optimization Problems Involving Transcedental Functions
  • Number Problems
  • Related Rates
  • Related Rates ProblemsInvolving Algebraic Functions
  • Related Rates Problems Involving Transcendental
  • Motion Problems Functions
  • Chapter Test
  • Definition of Parital Derivatives of a Functions CHAPTER V Partial Differentiation
  • Partial Derivatives by Formulas of Differentiation
  • Higher – order Partial Derivatives
  • Total Derivatives
  • Chain Rule of Partial Differentiation
  • Implicit Partial Derivatives
  • Chapter Test

Symbols such as f , g , and h are used to denote functions unless stated

otherwise. If the function is expressed in terms of the variable x , f   x , g   x , and

h   x are used to denote this function. For instance, in the finding the area of

circle, A   r  r^2 is used to describe the relationship between the area and the

radius of the given circle. Here, it can be observed that the area, A is expressed as a function of r and the value of A depends on the value of r. So, we say that A is the dependent variable and r is the independent variable.

Example 1.1. Let f be defined by f   x  2 x  1. It can be observed that f is function

since when x is replaced by any real numbers there is exactly one value of y

obtained.

x  3  2  1 0 1 2 3

f   x  7  5  3  1 1 3 5

Example 1.2. The circle x^2  y^2  9 cannot be a function since when x is 0, y

assumes two values such as 3 and – 3. Thus, we have the ordered pairs  0 , 3 and

 0 ,  3 . Similarly, the ordered pairs  3 , 0 ,   3 , 0 ,  1 , 2 2 and  1 ,  2 2 can also be

obtained from the given circle. Observe that 1 is assigned to two values of y ,

that is  2 2.

Figure 1.1. The circle x^2  y^2  9

Example 1.3. Let g be defined by g   x  x^2  1. Refer to the next table for the

values of x and its corresponding values of g   x. Although, several values of g   x

appear similar in the table, g can still be thought as a function since no two or

more values of x are repeated.
x  3  2  1 0 1 2 3

g   x 10 5 2 1 2 5 10

The relations presented in Example 1.1, 1.2 and 1.3 can be illustrated by

mapping. Here, the set of real numbers x is called the domain while the set of

real numbers f   x , y and g   x are the range.

Figure 1.2 shows the mapping of the domain to the range of the given relations in Example 1.1, 1.2 and 1.3. Figure 1.2 ( a ) shows a one–to–one mapping

since there is exactly one value of x mapped to exactly one value of y. In ( b ), a
mapping of one–to–many is observed since there is exactly one value of x , say 0

and 1 mapped to two values of y , i.e. -3 and 3; and  2 2 and 2 2 , respectively.

In ( c ), a mapping of many–to–one can be seen as there are two values of x

mapped to one value of y. The ordered pairs  3 , 10 and  3 , 10 ;   2 , 5 and 2 , 5 

; and   1 , 2 and  1 , 2 show this relation.

Figure 1.2. Mapping of   a f   x  2 x  1 ,   b x^2  y^2  9 and  c g   xx^2  1

Based on the examples presented in Figure 1.2 and Definition 1.1, a function possesses a one–to–one correspondence (bijection) and many–to–one correspondence (surjection) but not one–to–many or many–to–many.

Another way to determine whether a relation is function or not is by using the vertical line test. Given the graph of a function, draw vertical lines overlaying the graph. If the vertical lines pass through exactly one point on the graph, then it is a function. If it passes through two or more points, then it is not a function.

To evaluate function, a straight forward substitution is used. For instance,

given a function, f   x  x^2  2 , if we wish to find f   3 we shall replace x by -

and perform the operation leading us with f   3   11.

Example 1.4. Let f be a function defined by f   x  x^2  2 x  3 , find a. f   2 ; b. 

  

 2

f^1 ;

c. f  1 ; d. f  2 x and e. f  x  h .

Solution :

a. f   x^ ^ x^2 ^2 x ^3 d. f   x^ ^ x^2 ^2 x ^3

Domain

x
  • 3
  • 2
  • 1 0 1 2 3

Range

f   x

  • 7
  • 5
  • 3
  • 1 1 3 5

Domain

x

Range y

  • 3

0 1

3

  • 3

 2 2

0

2 2

3

  • 3
  • 2
  • 1 0 1 2 3

1

2

5

10

Domain

x

Range

g   x

  a   b   c

Example 1.7. Let f be a function defined by f   xx  3. Here, x  3 cannot be a negative number, so we can let x  3  0. Solving this inequality, we have (^) x  3. So, the domain of this function is the set of all numbers

greater than or equal to -3 or   3 ,. The range of this function is  0 ,.

Example 1.8. [2] Let f be a function defined by f   x  x^2  9. Since f

involves square root, then x^2  9  0. Here, we shall think of any number

that when replaced to x will give x^2  9  0. Solving this inequality, we

have x  3 or x  3. So the domain of f is given by   , 3   3 , and

the range is  0 ,.

Example 1.9. Find the domain and range of the function y^ ^3 x. Recall that

the cube root of any negative number is defined on the set of negative real number, the cube root of 0 is 0 and the cube root of a positive real number is still defined on the same set of positive real numbers. Therefore, the

domain of y ^3 x is   ,and the range is   ,.

From this example, we can conclude that for any function f defined

by f   x^  n^ x where n is any odd positive integer, then the domain and

range of f is   ,.

Example 1.10. Find the domain and range of the following functions:

a.  

x

f x ^2

b.  

x

gx x

c.   12

x

f x

d.  

f x  (^) x (^2) 

Solution:

a. Since x can be found on the denominator, then x cannot be replaced by

0. So the domain of  

x

f x ^1 is the set of real numbers except 0 or

interval notation we have   , 0   0 ,and the range is also the set

of real numbers except 0,   , 0   0 , since the numerator is

constant.

b. For  

x

gx x , the denominator x  2 should be equal to 0, i.e. x  2

. The domain of g is the set of real numbers except -2 or

  , 2   2 ,. For the range of g , observed that the numerator is

no longer constant so g   x assumes any number except 1. Thus, the

range of g is   , 1   1 ,.

c. Similar with a, x appears on the denominator. So we have x^2  0 giving

us with the domain  , 0   0 ,. For the range, take note that the

numerator is constant, 1 and the denominator is (^) x^2. Given this facts,

f   x do not assumes values such as 0 and any negative numbers, thus

the range of this function is  0 ,.

d. The domain of  

f x  (^) x (^2)  is the set of real numbers except  4

since when x is 4 or -4, the denominator becomes 0. The range is

^  

  

 (^)   0 , 16

,^1.
Example 1.11. Let y be function defined by y  2 x. The function y  2 x is

an exponential function whose domain is the set of real numbers, ,

and the range is is the set of all positive real numbers,  0 ,.

Example 1.12. The domain of the function f   x sin 2 x is the set of real

numbers  ,while the range is any numbers on the interval   1 , 1 .

Exercise 1.1. Find the domain and range of the following functions.

  1. 2 3

y  2 x

2. y  x^2
3. y  x^2  2 x  4
4. y ^ x^3 ^2

5. f   x^ ^3 2 x ^3

6. f   x  9  x^2

  1.   2

x

gx x

x

g x x

2 25

x

f x x

x y (^)  

Figure1.4. Graph of f   x  2 x  3 Figure1. 5. Graph of f   x  x  3

To facilitate the graphing of a function, the following steps are suggested:

  1. Identify the domain and range and the properties of the function.
  2. Choose suitable values of x from the domain of a function and solve for its corresponding value of y.
  3. Determine the behaviour of x and y.

4. Plot the points  x , y  on the plane.

  1. Smoothly trace the curve.

Example 1.13. Sketch the graph of the following functions: a. f   x  2 x  3

b. f   x  x  3

c. f   x  25  x^2

d. f   x  x^2  4

e.  

x

f x

f.   12

x

f x

g. y  2 x

Solution :

a. b.

From Figure 1.4 it can be observed that the graph of f   x  2 x  3 is a

line that passes through the points  0 , 3 and 

  

  , 0 2

3. The point  0 , 3 is the

x  intercept and the point  

  

  , 0 2

3 is the y intercept of f   x  2 x  3. We

can also verify that the domain and range of this function is any number on

the interval  ,. From Example 1.7 the domain of f   x  x  3 is

 3 , and the range is  0 ,. Also, it can be seen from Figure1.5 that as x increases, y also increases.

Figure1. 6. Graph of f   x  25  x^2 Figure1. 7. Graph of f   x  x^2  4
Figure1. 8. Graph of f   x  x^2 Figure1. 9. Graph of f   x  x^12

Figure1. 10. Graph of f   x  2 x

c. d.

The graph of f   x  25  x^2 (see Figure 1.6) shows a semi – circle with

 0 , 3  as y intercept and   3 , 0 and  3 , 0 as x intercepts. The graph of

f   xx^2  4 in Figure 1.7 confirms that the domain of this function is   , 2   2 ,^ and the range is^  0 ,.

e. f.

g.

^ 

,^1. Finally, it can be seen from Figure 1.12 that domain of

x

f x x is

  , 3    3 ,and the range is  , 6   6 ,.

The lines x  5 and x  5 in Figure 1.11 and the lines x  4 and x  4 are called^ vertical asymptotes ; while the lines^ y  2 in Figure 1.

and y  0 in Figure 1.12 are called horizontal asymptotes. The asymptotes

of functions determine its discontinuity. For instance in the function

f x  x 2  , when x is replaced by 4 or -4, you’ll have   0

f 4 ^1 and

f  4 ^1. We can also say that when x approaches 4 from the right, f   x

gets arbitrarily large or approaching . Similarly, as (^) x approaches 4

from the left f   x approaches . This idea gives the formal definition of

asymptotes.

From this definition, we set the rules to determine the asymptote of a function. Suppose that the rational function

1 1 1 0 ...

b x b x bx b

a x a x ax a qx

f x px m m

m m

n n n n    

 

  where q   x  0

is in lowest terms.

If q   a  0 , then x  a is a vertical asymptote.

If n  m , then the x axis is a horizontal asymptote.

If (^) nm , then the horizontal asymptote is the line m

n b

a (^) y .

If n  m , then the graph of f has no horizontal asymptote.

Definition 1.4. Rees, R., (2003). Suppose that    

q   x

f xpx is a rational

function in lowest terms and a is some real number where q   x  0

i. The vertical line (^) xa is a vertical asymptote of the graph of f if

as x  a , then f   x .

ii. The horizontal line ya is a horizontal asymptote of the graph

of f if as x , then f   x  a.

For the function  

x

f x x in Figure 1.12, observe that the f is

undefined at (^) x  3 , i.e., when (^) x is replaced by -3, the denominator becomes 0. However, based on Definition 1.4, the rational function should

be in lowest term leading us with f   x  x  3. So now, f   3   6. The

point   3 ,  6 is called point discontinuity.

1.1.3. Types of Functions

In the study of Calculus we might encounter different forms of functions. Generally speaking functions can be classified into two such as algebraic functions and transcendental functions. Some forms of

algebraic functions are linear function, f   x  ax  b ; quadratic function,

f   x  ax^2  bx  c , for a , b , c  and a  0 ; and polynomial functions,

f   x  an xn  an  1 xn ^1 ...  a 1 x  a 0. We may also include the rational

functions of the forms     q   x

f xpx where q   x  0

(a) (b) (c) (d)

Figure 1.13. Some examples of (a) linear function; (b) quadratic function; (c) polynomial function, and (d) rational function

Transcendental functions are functions that transcend algebraic functions.

For instance, ... 1! 2! 3!

2 3  xxx  transcends ex ; ... 3! 5! 7!

sin

3 5 7 xxxxx

and ... 2! 4! 6!

cos 1

2 4 6 x   xxx . Some commonly used transcendental

functions are:

  1. Trigonometric functions ( Six Circular Functions )
  2. Inverse trigonometric functions
  3. Exponential functions

The domain and range of the trigonometric functions are:

Table Domain and Range of Trigonometric Functions Domain Range

sin ^ ^ , ^ ^1 ,^1 

cos ^ ^ , ^ ^1 ,^1 

tan 

 

 (^) x   x  n  2

where nZ  ,

cot  x^ ^  x  n ^ where n^  Z ^ ,

sec 

 

 (^) x   x  n  2

where n  Z   , 1   1 ,

csc  x^ ^  x  n ^ where n^  Z ^ ^ ,^1 ^ ^1 ,

Some trigonometric identities are as follows:

   

x

x x

x x

x x

x

x x

x x x

x

x

x x x

x x

x x

x x

x x

x x

x x

x x

x x

1 cos 2

tan^1 cos^2

2

cos^1 cos^2

2

sin^1 cos^2

1 tan

tan 2 2 tan

sin 2 2 sin cos

2 cos 1

1 2 sin

cos sin cos 2

1 cot csc

1 tan sec

sin cos 1

tan cot 1

cos sec 1

sin csc 1

sin sin

cos cos

2

2

2

2

2

2

2 2

2 2

2 2

2 2

 

 

 



 

 

 

 

 

 

           

 

   

   

   

   

   

   

x yx y   x y

x y x y x y

x y x y x y

x y x y x y

x y x y x y

x y x y x y

x y x y x y

x y

x y x y

x y

x y x y

x y x y x y

x y x y x y

x y x y x y

x y x y x y

   

   

   

   

   

   

   

  

  

  

  

  

  

2

sin^1 2

cos cos 2 sin^1

2

cos^1 2

cos cos 2 cos^1

2

sin^1 2

sin sin 2 cos^1

2

cos^1 2

sin sin 2 sin^1

cos 2

cos^1 2

cos cos^1

sin 2

sin^1 2

sin cos^1

cos 2

cos^1 2

sin sin^1

1 tan tan

tan tan tan

1 tan tan

tan tan tan

sin sin cos cos sin

sin sin cos cos sin

cos cos cos sin sin

cos cos cos sin sin

These identities will help students to simplify both trigonometric expressions and equations.

Let us consider the sine function r

sin  y. If 2 2

^ , we see from

Figure 1.14 that the sine function attains the value on the interval  1 , 1 

exactly once and so is one–to–one. For the cosine function, if we restrict

the value of inclusively between 0  and 2 2

^  for tangent

function, these gives cosine and tangent a one–t – one correspondence. On these intervals, we obtain their inverse functions as follows:

x y

x y

x y

1

1

1

tan

cos

sin

y x

y x

y x

tan

cos

sin

Table Domain and Range of the Inverse Trigonometric Functions Domain Range

sin^1 x ^1 ,^1  

 

 (^)    2

, 2

cos^1 x ^1 ,^1  ^0 ,

tan^1 x^ all real numbers  

  

 (^)    2

, 2

Exponential and Logarithmic Functions

A function y defined by the relation, yax where a is a positive number except 1 is called an exponential function of x.

Example 1.15. Sketch the graph of (a) f   x  2 x and (b)  

x f x  

  

  2

1

Solution : The graphs of f   x  2 x and  

x f x  

  

  2

1 are shown in Figure 1.18.

Figure 1.1 6. Graphs of (a) y  sin^1 x , (b) y  cos^1 x and (c) y  tan^1 x Reference: https://www.onlinemathlearning.com/inverse-sine-cosine-tangent.html

(a) y  sin^1 x (b) y  cos^1 x (c) y  tan^1 x

Figure 1.21. Graph of f   x log ax where a  1

Figure 1.22. Graph of f   x log ax where 0  a  1

Logarithmic Functions

By definition of logarithm, the relation yax , can be written as x log ay. Thus ax and log ax are inverse functions of one another, and it follows that a log a^ xx and log a a xx.

Example 1.16. Convert the following exponential to logarithmic functions

  1. 23  8 Ans. log 2 8  3

5

1 5

(^1) ^1  

  

 1 5

log^1 5

1 

  1. 100  1 log 10 1  0

27

3 ^3 ^13 27

log 1 3 

27

1 3

(^1) ^3  

  

 3 27

log^1 27

1 

The logarithmic function takes a special when ae , that is called natural logarithm, given by log (^) e x ln x and when a  10 , called common logarithm and is written as log 10 x log x.

Properties of Logarithmic Function

For f   x log ax where a  1

  1. Domain :  0 , Range :  ,
  2. As x , f   x increases and flattens
  3. As (^) x  0 from the right, f   x decreases and gets steeper
  4. Asymptotic with respect to negative y – axis

For f   x log ax where 0  a  1

  1. Domain :  0 , Range : ,
  2. As (^) x , f   x decreases and flattens
  3. As x  0 from the right, f   x increases and gets steeper
  4. Asymptotic with respect to positive y – axis

Some laws on logarithmic functions are as follows:

r x xr

x y y

x

xy x y

e

ln ln

ln ln ln

ln ln ln

ln 1

ln 1 0

 

 

a a r

a a a

a a a

a

a

r x x

x y y

x

xy x y

a

log log

log log log

log log log

log 1

log 1 0

 

 

Hyperbolic Functions

Hyperbolic functions are functions possessing similar characteristics with that of the six trigonometric functions derived from its relation to the equilateral hyperbola. The hyperbolic functions are defined as follows:

2

sinh ex^ e^ x x ^   x x e e

hx (^)  

csc  (^2) x x

x x e e

x e e

 

tanh  

2

cosh ex^ e^ x x ^   x x e e

hx (^)  

sec  (^2) x x

x x e e

x e e

 

coth  

Some properties and identities of hyperbolic functions and their domain and range are presented in Table 3 while their graphs are on Figure 1.23.

x

x x x e

x x e

x h x

x h x

x x

 ^ 

 

 

 

 

cosh sinh

cosh sinh

coth csc 1

tanh sec 1

cosh sinh 1

2 2

2 2

2 2

x x x

x x x

x y x y x y

x y x y x y

cosh 2 cosh^2 sinh^2

sinh 2 2 sinh cosh

cosh( ) cosh cosh sinh sinh

sinh( ) sinh cosh cosh sinh

 

  

  

Table 3 Domain and Range of Hyperbolic Functions Domain Range

cosh x   ,  1 ,

sinh x   ,   , tanh x ^ ^ , ^1 ,^1 

sec hx ^  , ^0 , 1 

csc hx   , 0   0 ,   , 0   0 , coth x   , 0   0 ,   , 1   1 ,