The Uniform Limit of Differentiable Functions Need Not Be Differentiable — But Its Integral Remembers
Let be a sequence of continuously differentiable functions converging uniformly to .
(a) Must be differentiable? Give a brief justification or counterexample.
(b) Now suppose additionally that converges uniformly to some function . Prove that is differentiable and .
The proof of (b) hides a beautiful trick: instead of differentiating, integrate.
Answer: Uniform Limit of Derivatives via Integration
Key Idea / Intuition
Uniform convergence alone is not enough to swap limits and derivatives — differentiability is a local property that requires controlling difference quotients, and uniform convergence only controls function values. However, integration is much more forgiving: uniform convergence does pass through integrals, and since a function is recovered from its derivative by the Fundamental Theorem of Calculus, we can bootstrap this to conclude differentiability when the derivatives also converge uniformly.
Formal Proof / Solution
Part (a): Counterexample
Uniform convergence does not preserve differentiability.
Counterexample: Let Each is smooth on , and uniformly. So uniformly on , but is not differentiable at .
Part (b): Uniform convergence of derivatives implies differentiability of the limit
Setup. We know:
- uniformly on ,
- uniformly on .
Step 1: Integrate .
By the Fundamental Theorem of Calculus, for each and each :
Step 2: Pass to the limit using uniform convergence.
Since uniformly, we can pass the limit inside the integral:
Since and , taking gives:
Step 3: Conclude differentiability.
The right-hand side is the integral of a continuous function (uniform limit of continuous functions is continuous). By the Fundamental Theorem of Calculus:
Thus is (continuously) differentiable and .
Summary of the Trick
| Question | Answer | |---|---| | implies differentiable? | No — counterexample: | | and implies ? | Yes — integrate , swap limit and integral, differentiate |
The moral: to prove a derivative statement, integrate first, then differentiate. This is a recurring theme in analysis — integration is the robust operation that tolerates limit-swapping, while differentiation is fragile.