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 :
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 ). |
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
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:
- Differentiate both sides w.r.t. , treating as .
- Solve for .
Worked Example: Find for . Solution:
3.2 Logarithmic Differentiation
Useful for functions like or . Steps:
- Take the natural log: .
- Differentiate implicitly.
- 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:
- Domain: Where is defined.
- Intercepts: (y-intercept), (x-intercepts).
- Symmetry: Even/odd functions.
- First Derivative Test:
- → increasing.
- → decreasing.
- Critical points: or undefined.
- Second Derivative Test:
- Concavity and inflection points.
- Asymptotes:
- Vertical: Where .
- Horizontal/Oblique: Limits as .
Worked Example: Sketch . Solution:
- Derivatives:
- Critical Points: .
- Intervals:
- for or → increasing.
- for → decreasing.
- Concavity:
- for → concave up.
- for → concave down.
- Inflection Point: .
- Sketch:
- Roots at .
- Local max at , local min at .
Exam Tip
Common Pitfalls & Strategies
Limit Definition:
- Always simplify the difference quotient before taking the limit.
- Example Mistake: Forgetting to factor in .
Chain Rule:
- TU Exam Trick: For nested functions, work from the outside in.
- Example: .
Implicit Differentiation:
- Key Step: Remember .
- Example: For , differentiate as .
Higher-Order Derivatives:
- Shortcut: For polynomials, reduce the exponent by 1 each time.
- Example: .
Curve Sketching:
- Must Include: All critical points, intercepts, and concavity changes.
- TU Expectation: Label increasing/decreasing intervals and inflection points.
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)
- Find for .
- Differentiate using logarithmic differentiation.
- For , find and determine concavity.
- Sketch the curve , labeling all critical points and inflection points.
Based on the TU BSc CSIT syllabus for Mathematics I (MTH117), unit 3.
Discussion
Loading…