Calculus and Differentiation, Study notes of Mathematics

A guide to aid students in understanding the basic, fundamental concepts of differentiation and Calculus I

Typology: Study notes

2024/2025

Uploaded on 12/18/2025

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GES Elective Mathematics: Calculus and
Differentiation
1. Introduction to Calculus
Calculus is the branch of mathematics that studies change. It is divided into:
- Differential Calculus concerned with the rate of change (derivatives).
- Integral Calculus concerned with accumulation of quantities (integrals).
We’ll focus on Differentiation in this module.
2. Concept of Limits
The limit of a function f(x) as x → a is the value that f(x) approaches as x gets close to a.
Notation:
lim(x → a) f(x) = L
Example:
lim(x → 2) (3x + 1) = 7
3. Definition of Derivative
The derivative of a function f(x) is defined as:
f'(x) = lim(h → 0) [(f(x+h) - f(x))/h]
This gives the slope of the tangent to the curve at a point.
Geometric Interpretation: The derivative represents the gradient of the curve y = f(x) at any
point x.
4. Rules of Differentiation
Power Rule: d/dx (x^n) = nx^(n-1)
Constant Rule: d/dx (c) = 0
Constant Multiple Rule: d/dx [c * f(x)] = c * f'(x)
Sum and Difference Rule: d/dx [f(x) ± g(x)] = f'(x) ± g'(x)
Product Rule: d/dx [f(x) * g(x)] = f'(x)g(x) + f(x)g'(x)
Quotient Rule: d/dx [f(x)/g(x)] = [f'(x)g(x) - f(x)g'(x)] / [g(x)]^2
Chain Rule: dy/dx = (dy/du) * (du/dx)
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GES Elective Mathematics: Calculus and

Differentiation

1. Introduction to Calculus

Calculus is the branch of mathematics that studies change. It is divided into:

  • Differential Calculus – concerned with the rate of change (derivatives).
  • Integral Calculus – concerned with accumulation of quantities (integrals). We’ll focus on Differentiation in this module.

2. Concept of Limits

The limit of a function f(x) as x → a is the value that f(x) approaches as x gets close to a. Notation: lim(x → a) f(x) = L Example: lim(x → 2) (3x + 1) = 7

3. Definition of Derivative

The derivative of a function f(x) is defined as: f'(x) = lim(h → 0) [(f(x+h) - f(x))/h] This gives the slope of the tangent to the curve at a point. Geometric Interpretation: The derivative represents the gradient of the curve y = f(x) at any point x.

4. Rules of Differentiation

  • Power Rule: d/dx (x^n) = nx^(n-1)
  • Constant Rule: d/dx (c) = 0
  • Constant Multiple Rule: d/dx [c * f(x)] = c * f'(x)
  • Sum and Difference Rule: d/dx [f(x) ± g(x)] = f'(x) ± g'(x)
  • Product Rule: d/dx [f(x) * g(x)] = f'(x)g(x) + f(x)g'(x)
  • Quotient Rule: d/dx [f(x)/g(x)] = [f'(x)g(x) - f(x)g'(x)] / [g(x)]^
  • Chain Rule: dy/dx = (dy/du) * (du/dx)

5. Differentiation of Common Functions

  • d/dx x^n = nx^(n-1)
  • d/dx sin(x) = cos(x)
  • d/dx cos(x) = - sin(x)
  • d/dx e^x = e^x
  • d/dx ln(x) = 1/x

6. Applications of Differentiation

  • Rate of Change: Describes how one quantity changes with respect to another.
  • Gradient of a Curve: The derivative at a point gives the instantaneous rate of change.
  • Tangent and Normal: Tangent’s slope = f'(x), Normal’s slope = - 1 / f'(x)
  • Maxima and Minima: Stationary point if f'(x) = 0. Use second derivative test.

7. Implicit Differentiation

Used when y is not explicitly expressed as a function of x. Example: x^2 + y^2 = 25 Differentiate: 2x + 2y(dy/dx) = 0 ⇒ dy/dx = - x/y

8. Differentiation from First Principles

Using the limit definition: f'(x) = lim(h → 0) [(f(x+h) - f(x))/h] Example: f(x) = x^ [(x+h)^2 - x^2]/h = [x^2 + 2xh + h^2 - x^2]/h = 2x + h ⇒ f'(x) = 2x

Practice Questions

Basic Skills

  1. Differentiate: a. f(x) = 3x^4 - 2x^2 + 7
  2. b. f(x) = √x
  3. c. f(x) = 1/x^
  4. Find the derivative from first principles: a. f(x) = x^
  5. b. f(x) = 3x + 5
  6. Differentiate using chain rule: a. f(x) = (2x^2 + 3)^
  7. b. y = sin(3x^2)