The Timpson Lyceum · Calculus 1 (2024)
Derivative at a Point & Derivative Functions - Lecture 8 (Calculus 1)
Overview
This lecture opens Chapter 3 by giving the derivative a precise definition. Intuitively, the derivative of a function at a point is just the slope of the function at that point — but a single point isn't enough to define a slope, so we build the slope of a curve as a limit of slopes of secant lines through two ever-closer points. That limit is the difference quotient limit, and it is the formal definition of the derivative. We then distinguish the derivative at a point (a single number) from the derivative function (a new function giving the slope everywhere), survey the many equivalent notations, and close by examining when a function fails to be differentiable — and why differentiability is a stronger condition than continuity.
Key Concepts
The derivative as a slope
- The derivative of a function at a point is the slope of the function at that point. A horizontal tangent has derivative ; a vertical tangent has an undefined derivative.
- You need two points to compute a slope. Through two points the slope is rise over run, , which gives the line's point–slope form .
From secant slopes to the tangent slope
- To find the slope at a point , pick a second nearby point , draw the secant line through both, and use its slope as an approximation. As the second point slides toward , the approximation improves; the limit of these secant slopes is the exact slope at .
- A derivative is therefore "the limit of a slope as the two points get arbitrarily close." Because the slope is a difference divided by a quotient, this expression is called the difference quotient.
The formal definition (equivalent forms)
- The symbols and mean exactly the same thing (older texts favor ; newer texts favor ). Likewise, choosing the fixed point to be , , or is just relabeling — there is nothing special about the letter.
- At a point the definition yields a single number (the slope there); as a function it yields a new function whose value at each input is the slope of there.
Notation for the derivative
- , (when ), , .
- The Leibniz form comes from replacing with ; the last form treats as an operator acting on . All denote the same object.
Application: velocity as a slope
- If position is , the average speed over an interval is displacement over time, . Taking gives the instantaneous velocity — the slope of the position curve. So differentiating position gives velocity.
Where a derivative fails to exist
- The difference quotient's denominator always tends to , so the entire technique is to algebraically cancel that factor before taking the limit.
- A derivative does not exist where the function is not defined, where the tangent is vertical (slope blows up, as for at ), or at a corner/sharp point (as for at ), where the left- and right-hand limits of the difference quotient disagree.
- has domain at most as large as 's domain: if isn't defined somewhere, it cannot have a slope there.
Differentiability and continuity
- Differentiable means has a derivative at every point of its domain; on a closed interval this also requires one-sided derivatives at the endpoints to exist (be finite).
- Continuity does not imply differentiability: is continuous at but has no derivative there.
- Differentiability implies continuity: if is differentiable at , then is continuous at . Proof sketch: so .
Worked Example
Find the derivative of from the definition, then use it to get the tangent line at .
Use , factoring the difference of squares to cancel the in the denominator:
The slope at is . Using point–slope form through :
A second example — — shows the cancellation trick with a common denominator:
Summary
- The derivative of at a point is the slope of there, defined as the limit of secant-line slopes (the difference quotient) as the two points coincide.
- The three standard definition forms — , , and — are logically identical; only the notation differs.
- The derivative at a point is a single number; the derivative function () returns the slope at every input.
- Computing a derivative by definition always reduces to canceling the denominator's vanishing factor (factor, common denominator, or multiply by a conjugate) before taking the limit.
- A derivative fails to exist at points where the function is undefined, where the tangent is vertical, or at corners — wherever the left- and right-hand difference quotients disagree.
- Differentiability is strictly stronger than continuity: every differentiable function is continuous, but a continuous function (like ) need not be differentiable.