Differentiable Function
BasisPrerequisites
A single derivative at one point is useful, but you usually want to differentiate a function across its entire domain. This checkpoint defines what it means for a function to be differentiable on an interval and introduces the derivative as a function in its own right.
The derivative function
Let be defined on an open interval . If is differentiable at every point , the rule defines a new function, the derivative function of , also written , , or .
Definition. is differentiable on if exists for every .
Differentiability on closed intervals
For a closed interval , differentiability at the endpoints uses one-sided limits: is differentiable on if it is differentiable on and both and exist.
Higher-order derivatives
If is itself differentiable, its derivative is the second derivative of . Inductively, the -th derivative is defined whenever is differentiable. In Leibniz notation: .
A function with continuous derivatives is called . A function with derivatives of all orders is called or smooth.
Continuous but not differentiable
Differentiability implies continuity, so every differentiable function is continuous. The converse fails.
Example 1 — corner: is continuous everywhere. At the right derivative is and the left is , so does not exist.
Example 2 — cusp: is continuous at , but ; the derivative does not exist.
Example 3 — differentiable with discontinuous derivative: for and is differentiable everywhere (at by the squeeze theorem), but is discontinuous at .
Summary
- is differentiable on if exists for every , yielding the derivative function .
- Closed-interval differentiability uses one-sided limits at the endpoints.
- The -th derivative is defined iteratively; functions have all orders.
- Continuity is necessary but not sufficient for differentiability.