Module 4: Applications of Derivatives I
Calculus I – Study Guide
Learn Without Walls
1. Related Rates
Strategy: (1) Draw and label. (2) Write equation connecting variables. (3) Differentiate w.r.t. t. (4) Substitute known values and solve.
Do NOT substitute numbers until AFTER differentiating.
Sliding Ladder: x² + y² = L² ⇒ 2x(dx/dt) + 2y(dy/dt) = 0.
2. Linearization and Differentials
L(x) = f(a) + f'(a)(x − a)
dy = f'(x) dx (approximates Δy)
Relative error = dy/y Percentage error = 100 · dy/y
3. Extreme Values
Extreme Value Theorem: f continuous on [a,b] ⇒ f has an absolute max and an absolute min on [a,b].
Critical Point: c where f'(c) = 0 or f'(c) DNE. Local extrema only occur at critical points.
Closed Interval Method
- Find all critical points in (a, b).
- Evaluate f at critical points and at endpoints.
- Largest value = absolute max; smallest = absolute min.
4. Mean Value Theorem
f continuous on [a,b], differentiable on (a,b) ⇒ ∃ c ∈ (a,b) with f'(c) = [f(b) − f(a)]/(b − a)
Rolle's Theorem: If also f(a) = f(b), then ∃ c with f'(c) = 0.
Key Consequences
- f' = 0 everywhere ⇒ f is constant.
- f' > 0 ⇒ f is increasing. f' < 0 ⇒ f is decreasing.
- f' = g' everywhere ⇒ f = g + C.