Differential Calculus of One Variable
This chapter systematically studies the derivatives and differentials of single-variable functions, including their definitions, geometric and physical meanings, basic differentiation rules, derivatives of common functions, mean value theorems, L’Hospital’s rule, and the application of derivatives in studying function properties (such as monotonicity, extrema, concavity, inflection points, and maximum/minimum values).
Basic Concepts of Derivatives and Differentials
Definition of Derivative
Let be defined in a neighborhood of . If the limit
exists, it is called the derivative of at , denoted as or .
Geometric Meaning of Derivative
The derivative represents the slope of the tangent to the curve at .
Physical Meaning of Derivative
In physics, the derivative often represents the instantaneous rate of change, such as velocity being the derivative of displacement with respect to time.
Differentiability and Continuity
If a function is differentiable at a point, it must be continuous there; but continuity does not necessarily imply differentiability (e.g., at ).
Definition of Differential
If is differentiable at , then , where is called the differential of at .
Basic Differentiation Rules and Common Formulas
- Sum and difference rule:
- Product rule:
- Quotient rule:
- Chain rule (composite function):
Derivatives of common functions:
- Power function:
- Exponential function:
- Logarithmic function:
- Trigonometric functions: , ,
Differentiation of Composite, Inverse, Implicit, and Higher-Order Derivatives
- Composite function: chain rule
- Inverse function: the derivative of is
- Implicit function: differentiate both sides of the equation with respect to
- Parametric equations:
- Higher-order derivatives: , , etc.
Mean Value Theorems
- Rolle’s Theorem: If , is continuous on and differentiable on , then there exists such that
- Lagrange Mean Value Theorem: There exists such that
- Cauchy’s Mean Value Theorem: If , there exists such that
L’Hospital’s Rule
If or , and , then
(if the limit on the right exists)
Applications of Derivatives
Monotonicity and Extrema
- : is increasing; : decreasing
- and : is a minimum point; : maximum point
Concavity and Inflection Points
- : graph is concave up; : concave down
- and the second derivative changes sign: is an inflection point
Maximum and Minimum Values
- On a closed interval , the maximum/minimum may occur at endpoints or stationary points
Tangents and Normals to Curves
- Slope of tangent , equation:
- Slope of normal
Arc Differential and Curvature
- Arc differential
- Curvature
Exercises
- Find the extrema and extreme values of .
- Let , find .
- Find the equation of the tangent to the curve at the point .
- Use L’Hospital’s rule to compute .
- Determine the differentiability and continuity of at .
- Let be continuous on and differentiable on , with . Prove that there exists such that .
Reference Answers
1. Find the extrema and extreme values of
Solution: Set , so .
- , , so is a maximum,
- , so is a minimum,
Answer: Maximum at , minimum at .
2. Let , find
Solution: Take logarithms: , differentiate: , so .
Answer: .
3. Find the equation of the tangent to at
Solution: , , so the tangent has slope 1, equation .
Answer: .
4. Use L’Hospital’s rule to compute
Solution: Differentiate numerator and denominator: .
Answer: The limit is .
5. Determine the differentiability and continuity of at
Solution: is continuous at , but the left derivative is , right derivative is , so not differentiable.
Answer: Continuous at but not differentiable.
6. Let be continuous on and differentiable on , with . Prove that there exists such that
Solution: By Rolle’s theorem.
Answer: There exists such that .