MTH117 Mathematics I

Mathematics IUnit 39 min read

Differentiation: Rules, Techniques & Applications (Single Variable)

Unit 3 of Mathematics I covers the core concepts of differentiation—derivative definitions, fundamental rules, implicit/explicit differentiation, and curve sketching—with emphasis on problem-solving techniques and theoretical understanding required for TU exams.

Core Concepts & Definitions

1.1 Definition of the Derivative

The derivative of a function at a point , denoted or , is defined as the limit of the difference quotient as :

-3-2-1123-6-4-2246810xyy = f(x) = x²f'(x) = 2x (tangent slope)Point A (x=1)Point B (x=2)
Geometric interpretation: f'(1) = 2 is the slope of the tangent at x=1.

Key Observations:

  • Geometric Interpretation: The derivative represents the slope of the tangent line to the curve at .
  • Physical Interpretation: For motion functions , gives instantaneous velocity.
  • Existence: A function must be continuous at for the derivative to exist (though continuity does not guarantee differentiability).

Worked Example: Find for using the limit definition. Solution:


1.2 Differentiability vs. Continuity

Property Differentiable Continuous
Definition Derivative exists at a point. No jumps, holes, or asymptotes at .
Implication Implies continuity. Does not imply differentiability.
Example (everywhere differentiable) (continuous but not differentiable at ).
-2-1.5-1-0.50.511.52-2-1.5-1-0.50.511.52xyf(x) = |x|y = x (left side)y = -x (right side)Corner at x=0 (non-differentiable)
f(x) = |x| is continuous but not differentiable at x=0.

Why It Matters:

  • Non-differentiable points occur at:
    • Corners (e.g., at ).
    • Cusps (e.g., at ).
    • Vertical tangents (e.g., at ).

Fundamental Rules of Differentiation

2.1 Basic Rules

Rule Formula Example
Power Rule
Constant Rule
Constant Multiple
Sum/Difference

Worked Example: Differentiate . Solution:


2.2 Product, Quotient, and Chain Rules

UProductRuleQuotientRuleu(x)v(x) → u'v + uv'u(x)/v(x) → (u'v - uv')/v²Differentiation Rules
Fundamental rules for composite functions.

Product Rule

For : Example: Differentiate . Solution:

Quotient Rule

For : Example: Differentiate . Solution:

Chain Rule (Composite Functions)

For : Example: Differentiate . Solution:

Comparison Table:

Rule When to Use Mistake to Avoid
Product Functions multiplied together. Forgetting .
Quotient Functions divided (e.g., ). Incorrect denominator squaring.
Chain Nested functions (e.g., ). Missing the inner derivative .

Implicit and Logarithmic Differentiation

3.1 Implicit Differentiation

Used when is not isolated (e.g., ). Steps:

  1. Differentiate both sides w.r.t. , treating as .
  2. Solve for .
-6-4-2246-6-4-2246xyy = √(25 - x²) (upper semicircle)y = -√(25 - x²) (lower semicircle)Point (3,4)
Implicit differentiation for x² + y² = 25 (circle).

Worked Example: Find for . Solution:


3.2 Logarithmic Differentiation

Useful for functions like or . Steps:

  1. Take the natural log: .
  2. Differentiate implicitly.
  3. Solve for .

Worked Example: Differentiate . Solution:


Higher-Order Derivatives

The second derivative is the derivative of . Applications:

  • Concavity: → concave up; → concave down.
  • Inflection Points: Where or is undefined.

Worked Example: Find for . Solution:


Curve Sketching Using Derivatives

To sketch , analyze:

  1. Domain: Where is defined.
  2. Intercepts: (y-intercept), (x-intercepts).
  3. Symmetry: Even/odd functions.
  4. First Derivative Test:
    • → increasing.
    • → decreasing.
    • Critical points: or undefined.
  5. Second Derivative Test:
    • Concavity and inflection points.
  6. Asymptotes:
    • Vertical: Where .
    • Horizontal/Oblique: Limits as .
-1-0.50.511.522.533.54-5510152025xyf(x) = x³ - 3x²f'(x) = 3x² - 6x (slope)Local max (x=0)Local min (x=2)Inflection point (x=1)
Curve sketching: critical points and concavity.

Worked Example: Sketch . Solution:

  1. Derivatives:
  2. Critical Points: .
  3. Intervals:
    • for or → increasing.
    • for → decreasing.
  4. Concavity:
    • for → concave up.
    • for → concave down.
  5. Inflection Point: .
  6. Sketch:
    • Roots at .
    • Local max at , local min at .

Exam Tip

Common Pitfalls & Strategies

  1. Limit Definition:

    • Always simplify the difference quotient before taking the limit.
    • Example Mistake: Forgetting to factor in .
  2. Chain Rule:

    • TU Exam Trick: For nested functions, work from the outside in.
    • Example: .
  3. Implicit Differentiation:

    • Key Step: Remember .
    • Example: For , differentiate as .
  4. Higher-Order Derivatives:

    • Shortcut: For polynomials, reduce the exponent by 1 each time.
    • Example: .
  5. Curve Sketching:

    • Must Include: All critical points, intercepts, and concavity changes.
    • TU Expectation: Label increasing/decreasing intervals and inflection points.
  6. Logarithmic Differentiation:

    • When to Use: For functions like , , or products/quotients with variables in exponents.
    • Avoid: Applying it to simple polynomials (overcomplicates).

High-Scoring Techniques

  • Show All Steps: Partial credit is given for correct intermediate steps.
  • Verify Results: Plug in a test point (e.g., ) to check your derivative.
  • Graphical Intuition: Sketch a rough graph before calculating derivatives to guide your work.
  • Unit Consistency: In applied problems, ensure units match (e.g., should have consistent units).

Practice Problems (TU-Style)

  1. Find for .
  2. Differentiate using logarithmic differentiation.
  3. For , find and determine concavity.
  4. Sketch the curve , labeling all critical points and inflection points.

Based on the TU BSc CSIT syllabus for Mathematics I (MTH117), unit 3.

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