Applications of Derivatives - Key Proof
We present proofs of Fermat's Theorem and the Second Derivative Test, two fundamental results that connect local extrema to derivatives.
Theorem: If has a local maximum or minimum at and exists, then .
Proof: Suppose has a local maximum at (the minimum case is similar). Then there exists such that for all .
Consider the difference quotient from the right:
Since , we have . With , this gives:
Taking the limit as :
Similarly, for the left-hand limit with :
Taking the limit as :
Since exists, we have . Therefore:
This forces .
The proof uses a subtle but important technique: the one-sided limits must both exist and equal , and they are constrained by opposite inequalities. The only value satisfying both constraints is zero.
Theorem: Suppose is continuous near and .
- If , then has a local minimum at
- If , then has a local maximum at
Proof: We prove the minimum case; the maximum case is analogous.
Assume and . Since is continuous and , there exists such that for all .
Because on this interval, is strictly increasing on .
For : Since is increasing and , we have . Thus is decreasing on .
For : Since is increasing and , we have . Thus is increasing on .
Therefore, decreases to the left of and increases to the right of , which means has a local minimum at .
The second derivative test is actually a consequence of the first derivative test combined with the monotonicity theorem. The sign of determines whether is increasing or decreasing, which in turn determines the behavior of near the critical point.
Consider at .
We have and , so the second derivative test is inconclusive.
However, for all , so clearly has a local (and absolute) minimum at .
This shows that doesn't rule out an extremum—it just means we need to use other methods (like the first derivative test or higher derivatives) to determine the nature of the critical point.
These proofs illuminate why the derivative tests work, grounding computational techniques in rigorous mathematical reasoning.