Lesson 70 — Consolidation Term 7: Maxima, L'Hôpital, Taylor, Newton
Integrated Differential Calculus workshop applied: optimization, curve sketching, L'Hôpital's Rule, Taylor series, concavity, marginal analysis, kinematics, and Newton-Raphson. All techniques derive from local linearization.
Used in: Year 2 High School · Equivalent Japanese Math II/III Ch. 6–7 · Equivalent German Leistungskurs Differentialrechnung
Rigorous notation, full derivation, hypotheses
Unified Theory: Linearization and Its Applications
The Mother Concept: Taylor Approximation
"The Taylor polynomial of degree centered at is the unique polynomial of degree that agrees with in value and in all its first derivatives at ." — Active Calculus §8.4
Optimization: Critical Points and the Second Derivative Test
"Finding the maximum and minimum values of a function also has practical significance because we can use this method to solve optimization problems, such as increasing profit, minimizing cost, and maximizing area." — OpenStax Calculus Vol. 1 §4.3
Concavity and Inflection Points
L'Hôpital's Rule: Ratio of Linearizations
"L'Hôpital's Rule applies whenever both and as , or whenever and ." — OpenStax Calculus Vol. 1 §4.8
Idea via Taylor of Order 1. For : and , so . L'Hôpital formalizes exactly this idea of a ratio of linearizations.
Newton-Raphson: Tangent Iteration
Newton-Raphson: the tangent to the curve at point x₀ crosses the axis at x₁, converging to the real root.
Unified Function Analysis Pipeline
Solved Examples
Exercise list
40 exercises · 10 with worked solution (25%)
- Ex. 70.1Answer key
Find the critical points, local extrema, and inflection point of .
- Ex. 70.2
Maximize on . What is the absolute maximum?
- Ex. 70.3
Sketch . Identify asymptotes, monotonicity, and concavity.
- Ex. 70.4
Find the absolute minimum of on .
- Ex. 70.5Answer key
A cylindrical can with must be constructed using minimal material. Determine the optimal radius and height.
- Ex. 70.6
From a piece of cardboard, squares of side are cut from the corners, and the flaps are folded up. What value of maximizes the volume of the box?
- Ex. 70.7
Find the point on the parabola closest to the point .
- Ex. 70.8Answer key
A fence of is to enclose a rectangular area against a wall (the wall forms one side). Maximize the area.
- Ex. 70.9
Determine the inflection points and concavity of .
- Ex. 70.10
Perform a complete sketch of : domain, symmetry, extrema, inflection points, asymptotic behavior.
- Ex. 70.11Answer key
L'Hôpital's Rule applies directly to (form ). Which alternative describes a case where the rule does not directly apply?
- Ex. 70.12
Calculate .
- Ex. 70.13
Calculate .
- Ex. 70.14
Calculate (indeterminate form ).
- Ex. 70.15
Write the Maclaurin polynomial of of order 5 ().
- Ex. 70.16
Use Taylor expansion to calculate .
- Ex. 70.17Answer key
Approximate using the Maclaurin series of up to order 3.
- Ex. 70.18
Approximate with the Maclaurin polynomial of of order 3. Calculate the error.
- Ex. 70.19
Calculate using Taylor series.
- Ex. 70.20
Write the Maclaurin series for up to the term.
- Ex. 70.21
Calculate via Taylor series.
- Ex. 70.22
What is the interval of convergence for the Maclaurin series of ?
- Ex. 70.23
Write the Maclaurin polynomial for .
- Ex. 70.24
Calculate (form ).
- Ex. 70.25
Cost (Reais), price Reais/unit. Find the quantity and maximum profit .
- Ex. 70.26Answer key
A monopolist faces demand and has cost . Find , , and the maximum profit.
- Ex. 70.27
A ball is thrown vertically upward with an initial velocity (). Calculate the maximum height and the time of flight.
- Ex. 70.28Answer key
Given . When is ? Calculate the total distance traveled over .
- Ex. 70.29
Mass-spring system: , , amplitude . Calculate the period and the maximum velocity.
- Ex. 70.30
Use Newton-Raphson on with to calculate to 5 decimal places.
- Ex. 70.31
Use Newton-Raphson on with to approximate . Perform 3 iterations.
- Ex. 70.32
Apply Newton-Raphson to to find both real roots. Use for one and for the other.
- Ex. 70.33
Kepler's equation is . Use Newton-Raphson with and perform 4 iterations.
- Ex. 70.34
Show that a strictly convex () function on has at most one minimum point.
- Ex. 70.35Answer key
Use the Maclaurin series of to prove that for all .
- Ex. 70.36
Sketch on . Find the minimum and analyze the behavior at the domain's extremes.
- Ex. 70.37
Newton-Raphson applied to with diverges. Explain geometrically why, and show numerically.
- Ex. 70.38Answer key
Prove via Taylor series: if and is the first non-zero derivative at , then is an extremum if is even, and a saddle point/inflection point if is odd.
- Ex. 70.39
Show, via Taylor of order 1, that when and .
- Ex. 70.40Answer key
Formally derive the condition for maximum profit. Explain why a monopolist produces less than a competitive firm.
Sources
- Active Calculus — Matt Boelkins, David Austin, Steve Schlicker · Grand Valley State University · 2024 · CC-BY-NC-SA. Sections §2.6 (L'Hôpital's Rule), §3.1–3.4 (optimization), §8.4–8.5 (Taylor series).
- APEX Calculus — Gregory Hartman et al. · Virginia Military Institute · 2024 · CC-BY-NC. Chapters 3 (function analysis), 4 (applications), 6 (Newton's Method and applications), 8 (Taylor series).
- Calculus Volume 1 — OpenStax (Strang, Herman et al.) · 2023 · CC-BY-NC-SA. Sections §4.3 (max-min), §4.7 (applied optimization), §4.8 (L'Hôpital's Rule), §4.9 (Newton's Method).