Unit 3 - Notes

MTH005

Unit 3: Differentiation

1. Introduction to Derivatives

Differentiation is a fundamental tool in calculus concerned with calculating the instantaneous rate of change of quantities. Geometrically, the derivative represents the slope of the tangent line to a curve at a specific point.

1.1 Definition of the Derivative

The derivative of a function with respect to is defined by the limit:

This formula is known as differentiation from first principles.

1.2 Notation

If , the derivative can be denoted as:

  • (Lagrange notation)
  • (Leibniz notation)
  • (Operator notation)

1.3 The Power Rule

For any real number , if , then:

Special Cases:

  • Derivative of a Constant: If , then .
  • Derivative of : If , then .
  • Constant Multiple Rule: .

2. Rules of Differentiation

When differentiating complex expressions, we utilize algebraic rules to break the function down into simpler parts.

2.1 Derivative of a Sum and Difference

The derivative of a sum or difference of functions is the sum or difference of their individual derivatives.

Formula:

Example:
Differentiate .

Step 1: Apply the rule term by term.

Step 2: Apply the Power Rule and Constant Rule.


2.2 Derivative of a Product (Product Rule)

When a function is the product of two differentiable functions, and , we cannot simply multiply their derivatives. We must use the Product Rule.

Formula:

Mnemonic: First times derivative of the second + Second times derivative of the first.

Example:
Differentiate .

Step 1: Identify and .

Step 2: Apply the formula.

Step 3: Expand and Simplify.


2.3 Derivative of a Quotient (Quotient Rule)

When a function is the quotient of two differentiable functions, , we use the Quotient Rule.

Formula:

Mnemonic: (Low d-High) minus (High d-Low) all over (Low squared).
Note: Order matters in the numerator because of the subtraction.

Example:
Differentiate .

Step 1: Identify (top) and (bottom).

Step 2: Apply the formula.

Step 3: Simplify the numerator.



3. Applications: Increasing and Decreasing Functions

Derivatives provide information about the behavior of a function's graph. Since the derivative represents the slope of the tangent, the sign of the derivative tells us if the function is rising or falling.

3.1 Definitions

  • Increasing Function: A function is increasing on an interval if, for any two numbers and in the interval, implies . The graph goes up from left to right.
  • Decreasing Function: A function is decreasing on an interval if, for any two numbers and in the interval, implies . The graph goes down from left to right.

3.2 The First Derivative Test for Monotonicity

To determine the intervals where a function is increasing or decreasing without graphing it, we analyze the sign of .

Sign of Derivative Behavior of Geometric Interpretation
Increasing Tangent slope is positive
Decreasing Tangent slope is negative
Stationary Tangent is horizontal (turning point)

3.3 Steps to Find Intervals of Increase/Decrease

  1. Find the derivative .
  2. Find the Critical Points by setting (or where undefined).
  3. Plot these critical points on a number line to divide the domain into intervals.
  4. Choose a test value inside each interval and plug it into .
  5. Determine the sign (+ or -) to conclude if is increasing or decreasing on that interval.

3.4 Worked Example

Determine the intervals on which is increasing or decreasing.

Step 1: Find the derivative.

Step 2: Set to find critical points.


Divide by 3:

Factor:

Critical points: and .

Step 3: Create intervals.
The critical points divide the number line into three intervals:

Step 4: Test the intervals.

  • Interval : Test .


    Sign: Positive (+) Increasing.

  • Interval : Test .


    Sign: Negative (-) Decreasing.

  • Interval : Test .


    Sign: Positive (+) Increasing.

Conclusion:

  • is increasing on .
  • is decreasing on .

4. Summary Cheat Sheet

Rule Name Formula
Power Rule
Sum/Diff
Product Rule
Quotient Rule
Increasing
Decreasing