Lesson 66 — Concavity and Inflection Points
Sign of f'': concave up when f'' > 0, down when f'' < 0. Inflection where f'' changes sign. Second derivative test for extrema.
Used in: 2nd Year High School Advanced · Japanese Equiv. Math I/II · German Equiv. Leistungskurs Analysis · University Calculus I
The concavity of a curve is determined by the sign of the second derivative: means concave up (bowl shape), concave down (cap shape). An inflection point occurs where changes sign — it is not enough for it to be zero.
Rigorous notation, full derivation, hypotheses
Rigorous Definition and Criteria
Concavity and Convexity
"The function is concave up on an interval if for all ." — OpenStax Calculus Vol. 1 §4.5
Criterion via Second Derivative: If is twice differentiable on :
- on is convex (concave up).
- on is concave (downward).
- strictly strict convexity.
Concave up (f'' > 0): chord lies above the arc. Concave down (f'' < 0): chord lies below the arc.
Inflection Point
Caution: is a necessary but NOT sufficient condition. Canonical counterexample: has but in a neighborhood of — no sign change, thus is not an inflection point.
"If the concavity changes at a point , we call this a point of inflection. It must be the case that changes sign." — APEX Calculus §3.4
Second Derivative Test for Local Extrema
Proof for minimum: If and , by continuity of there exists a neighborhood where , hence is increasing in this neighborhood. Since , we have to the left and to the right of — by the first derivative test, is a local minimum. ∎
Solved Examples
Exercise list
40 exercises · 10 with worked solution (25%)
- Ex. 66.1
Determine the concavity of on all of . Is there an inflection point?
- Ex. 66.2
Determine the concavity and inflection points of .
Show solution
. For : concave down. For : concave up. Inflection at because changes sign.Show step-by-step (with the why)
- Calculate derivatives: , .
- Zero of : .
- Sign: (cap); (bowl).
- Sign change at confirms inflection. Point: .
- Curiosity: the inflection point of is also its only zero — the curve crosses the x-axis exactly where it changes concavity.
- Ex. 66.3
Concavity of . Is there an inflection point at ? Justify using the sign of .
Show solution
for all . No sign change — no inflection. Concave up on all of (global convexity). - Ex. 66.4
Concavity of on all of . Is there an inflection point?
- Ex. 66.5Answer key
Concavity of on .
- Ex. 66.6
Concavity of on . Identify the inflection points.
Show solution
. Zero at . Inflection points at (where changes sign). For : (cap). For : (bowl). - Ex. 66.7
Concavity of on . Inflection points.
- Ex. 66.8
Concavity of on the intervals and .
- Ex. 66.9
Concavity of (Gaussian). Identify the inflection points.
- Ex. 66.10
Concavity and inflection of .
Show solution
. Zero at . Inflection at . Concave down on , up on .Show step-by-step (with the why)
- Calculate and .
- Zero of : .
- Sign: ; . Change confirmed.
- Point: . Inflection at .
- Shortcut: for cubic polynomials , the inflection point is always at — the center of symmetry of the cubic.
- Ex. 66.11Answer key
Use the test: classify the extrema of .
Show solution
. . : minimum at . : maximum at . - Ex. 66.12
Extrema of via test.
- Ex. 66.13
Extrema of via .
Show solution
. . : maximum at . - Ex. 66.14Answer key
Extrema of on via .
- Ex. 66.15Answer key
Extrema of on .
Show solution
. Using : or . Critical points: . Apply at each. - Ex. 66.16
Show that has a minimum at despite (inconclusive test).
Show solution
Show that is a minimum of even with : use the fact that for all , and is the smallest possible value. - Ex. 66.17
Show that has no extremum at despite .
Show solution
For : and (inconclusive). But for all , with equality only at . Therefore is increasing in any neighborhood of — no local extremum. - Ex. 66.18
For on : find the minimum and justify with .
- Ex. 66.19
Extrema of on via .
Show solution
. : maximum. . - Ex. 66.20
Extrema of on (take before differentiating).
- Ex. 66.21
Cost . Find the inflection point and interpret it as a change in marginal return.
Show solution
. For : decreasing marginal cost (economies of scale). For : increasing (capacity pressure). Inflection at is the point of regime change. - Ex. 66.22Answer key
Profit . Maximize via and confirm with .
- Ex. 66.23Answer key
Logistic curve . Show there is an inflection point at (half the carrying capacity).
Show solution
For : . Set to zero: , which occurs at (when centered at zero). Inflection at : point of maximum population growth.Show step-by-step (with the why)
- Let . Calculate (logistic growth rate).
- Differentiate again: .
- Set to zero: (trivial) or .
- At : changes sign — inflection.
- Note: The inflection point of the logistic curve corresponds to the maximum growth rate — the "turning point" of an epidemic or market expansion.
- Ex. 66.24
Potential energy (pendulum). Find stable and unstable equilibria using .
- Ex. 66.25
Harmonic spring: . Show is a stable equilibrium using .
Show solution
. at . : concave up. Minimum at — stable equilibrium. Natural oscillation frequency: . - Ex. 66.26
Bernoulli entropy . Show and that the maximum is at .
- Ex. 66.27Answer key
Learning curve . Determine its concavity. What does it say about the speed of learning?
Show solution
Learning curve: . . Concave down: learning gains diminish over time (diminishing returns). No inflection. - Ex. 66.28
In an epidemic, the peak of new cases occurs at the inflection point of the cumulative case curve . Justify geometrically and via .
- Ex. 66.29
Utility is concave. Explain how Jensen's inequality implies risk aversion for this investor.
Show solution
Utility $U(W) = \ln W$: — concave down. By Jensen: . This means the agent prefers the guaranteed expected value to the lottery — definition of risk aversion. - Ex. 66.30
Why does the linear regression loss function have a unique global minimum? Justify using convexity.
- Ex. 66.31
What is the correct condition for to be an inflection point of ?
Show solution
The definition of an inflection point requires a sign change of . Having without a sign change (like for at 0) does not constitute an inflection. - Ex. 66.32
Prove that the sum of two convex functions is convex, using the definition via .
Show solution
Sum: . If and , then . Thus is convex. - Ex. 66.33
Show that convex on implies the midpoint inequality: .
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Show that : use the definition of convexity with . Geometrically: the midpoint of the segment lies above the midpoint of the graph. - Ex. 66.34
Why is not sufficient to guarantee an inflection point? Give a concrete counterexample.
Show solution
Provide the counterexample $f(x) = x^4$: but around $0$ — no sign change. Thus is not an inflection point despite . - Ex. 66.35
Show that is concave on and use it to prove the AM-GM inequality: for .
Show solution
is concave: . Applying the exponential: . QED. - Ex. 66.36Answer key
Huber function if ; otherwise. Is it convex? Where is discontinuous?
Show solution
Huber loss: if , otherwise. Second derivative: for , for . does not exist at . It is convex (non-negative). It is not strictly convex. - Ex. 66.37
Prove the second derivative test using the Taylor polynomial of order 2.
Show solution
Taylor expansion of order 2 around : . With : . If : the right side is positive near , so — local minimum. Similarly for . - Ex. 66.38Answer key
Prove Jensen's inequality for two points: — directly from the definition of convexity.
Show solution
Definition of convexity: for all . With and properties of integrals/probability, the general Jensen inequality can be deduced by induction or continuity. - Ex. 66.39
Prove that a convex function on an open interval is continuous on the interior.
Show solution
Let be convex on an open interval . For , the quotient function is increasing in . This implies that the one-sided limits exist and are finite, hence is continuous at . - Ex. 66.40Answer key
Prove that is convex if and only if its graph lies above every tangent line: for all .
Show solution
From the Taylor remainder of order 1 with expansion point at : for all , since . This is equivalent to convexity (support by the tangent).
Sources
- Active Calculus — Boelkins · 2024 · §3.1 Using Derivatives to Identify Extreme Values · CC-BY-NC-SA. Primary source.
- Calculus Volume 1 — OpenStax · 2016 · §4.5 Derivatives and the Shape of a Graph · CC-BY-NC-SA.
- APEX Calculus — Hartman et al. · 2024 · v5.0 · §3.4 Concavity and the Second Derivative Test · CC-BY-NC.