Lecture 8: Differentiation using First Principles and Basic Rules
Differentiation Using First Principles and Limit Processes
Introduction to Limit Processes:
Let be a real-valued and continuous function.
The function must be defined at the point .
The slope of the function at is defined by using a limit process.
Geometrical Interpretation:
Consider the graph of with points and .
The line connecting and is the Secant Line.
The slope of the secant line () is given by the formula:
In this context, represents the change in (), notably .
As point moves towards point along the graph, the distance becomes smaller and smaller ().
The secant line gradually limitingly becomes the Tangent Line to the graph at point .
The limiting value of the secant slope as is defined as the derivative of at .
Formal Definitions and Notations of the Derivative
Notations:
The derivative at a point can be denoted by:
Mathematical Formulas:
Alternatively:
Interpretations of :
(i) The slope of the tangent line to at .
(ii) The slope of the function at the specific point .
General Derivative:
If the derivative is desired at any arbitrary point within the domain of , the following limit process is used:
Worked Examples: Limit Processes for finding Slopes and Equations
Example 1: Quadratic Function:
Let .
(i) Find using method 1:
Using factorization:
(ii) Find using method 2 ():
(iii) Equation of the tangent line at :
Point: . Slope: .
Using : .
Example 2: Reciprocal Function:
Let for .
Step 1: Compute :
Step 2: Evaluate :
Step 3: Equation of tangent at :
Point: . Slope: .
.
Example 3: General Quadratic Polynomial:
Let . Find .
Example 4: Square Root Function:
Let for x > 0.
Find using colonization/rationalization:
Multiply by the conjugate:
Tangent Lines and Normal Lines
Definitions:
Tangent Line: A line that touches the curve at a specific point .
Normal Line: A line drawn perpendicular to the tangent line at the same point .
Slopes:
Slope of tangent line at is .
Slope of normal line at is the negative reciprocal: .
Equations:
Tangent Line Equation at :
Normal Line Equation at : , provided
Rules of Differentiation for Monomials and Constants
Constant Function Rule:
If (where is a constant), then .
The slope of a constant horizontal line is zero at any point.
Power Rule for Differentiation:
If , where , then:
Derivation of the Power Rule:
Expand using the Binomial Theorem:
Subtracting and dividing by :
Taking the limit as , all terms with vanish, leaving:
Monomial Examples:
If , then .
If , then .
If , then .
If , then .
If , then .
If , then .
If , then .
General Power Rules for Differentiation
Summary of Power Laws:
1.
2.
3.
4.
5.
Worked Power Rule Applications:
Let . Rewrite as . .
Let . Rewrite as . .
Let . Rewrite as . Thus for , .
Differentiation of Polynomials
Formula:
Let .
Then .
Examples:
(i) .
(ii) .
(iii) .
Differentiation of Exponential Functions
Basic Rules:
If , then .
If , then .
and .
General Exponential Rule:
If (where is a positive constant), then:
Example: .
Generalized Rules (Chain Rule Extension):
(i) If , then .
(ii) If , then .
(iii) If , then:
Worked Examples:
1. . Let , . Result: .
2. . , . Result: .
3. . , . Result: .
Differentiation of Logarithmic Functions
Basic Forms (Base ):
If , then .
Arbitrary Base ():
If , where , then .
General Forms (Chain Rule Extension):
(i) If , then .
(ii) If , then .
Worked Examples:
1. . , . Result: .
2. . Result: .
Existence Conditions for the Derivative
Main Conditions for to exist:
(i) must be in the domain of . (Function defined at ).
(ii) is continuous at . .
(iii) The graph of has no sharp edges, kinks, or cusps at .
(iv) There is No vertical tangent at .
(v) There is No vertical asymptote at .
Examples where the derivative does not exist (DNE):
At holes/discontinuities where is not defined.
At points of jump discontinuity.
At a cusp or sharp corner/edge.
At points with a vertical tangent.
At points with a vertical asymptote.
Differentiation of Trigonometric Functions
Basic Formulas:
Generalized Formulas (Chain Rule):
(i)
(ii)
(iii)
(iv)
Worked Examples:
1. . Here , . Result: .
2. . Here , . Result: .
3. . Here , . Result: .
Higher Order Derivatives
Notations:
First Order: .
Second Order: .
Third Order: .
Fourth Order: .
n-th Order: .
Definition: If a function is infinitely differentiable, all orders of differentiation exist for all .
More Rules: Sum and Difference Rules
Sum Rule:
Example: . .
Difference Rule:
Example: . .
Comprehensive Example with Higher Order:
Let . (where are constants).
First Derivative: .
Second Derivative: .
Third Derivative: .