Derivative at a Point: From Intuition to Precision
Imagine you're driving a car. Your speedometer doesn't tell you your average speed over the whole trip — it tells you your speed right now, at this exact instant. That's the core idea of a derivative at a point: it measures how fast something is changing at a single moment.
The Intuition: Instantaneous Rate of Change
Let's start with something simpler. Suppose you drop a ball from a height. The distance it has fallen after t seconds is given by s(t)=4.9t2 metres (ignoring air resistance).
If I ask you "how fast was the ball falling after exactly 2 seconds?", you can't just divide distance by time — that gives an average speed over an interval. You need the speed at t=2, not between t=1 and t=3.
Here's the trick: take a very small time interval around t=2, say from t=2 to t=2+h where h is tiny. The average speed over that interval is:
hs(2+h)−s(2)
If h=0.1, you get one number. If h=0.01, you get a slightly different number. As h gets closer and closer to 0, these average speeds approach a single value — that's the instantaneous speed at t=2.
This "shrinking interval" idea is the heart of the derivative. We're not setting h=0 (that would give 00, which is meaningless). We're letting h approach 0 and seeing what the ratio approaches.
The Precise Definition
For a function f(x), the derivative at a point x=a is defined as:
f′(a)=limh→0hf(a+h)−f(a)
provided this limit exists.
Let's break this down piece by piece:
- f(a+h)−f(a) is the change in the function's value when you move from a to a+h.
- Dividing by h gives the average rate of change over that interval.
- Taking the limit as h→0 shrinks the interval to a single point, giving the instantaneous rate of change.
f′(a)=limh→0hf(a+h)−f(a)
Geometric Interpretation
There's also a beautiful geometric meaning. The average rate of change hf(a+h)−f(a) is the slope of the secant line through the points (a,f(a)) and (a+h,f(a+h)).
As h→0, these two points get closer together, and the secant line approaches a line that just touches the curve at x=a — the tangent line. So:
The derivative at a point equals the slope of the tangent line to the curve at that point.
A Concrete Example
Let's compute the derivative of f(x)=x2 at x=3.
Using the definition:
f′(3)=limh→0h(3+h)2−32
Expand (3+h)2=9+6h+h2:
f′(3)=limh→0h9+6h+h2−9=limh→0h6h+h2
Factor h:
f′(3)=limh→0hh(6+h)=limh→0(6+h)
Since h→0, this approaches 6.
The derivative of x2 at x=3 is 6. This means:
- At x=3, the function is increasing at a rate of 6 units per unit change in x.
- The tangent line to y=x2 at (3,9) has slope 6.
Notation
You'll see several notations for "the derivative of f at x=a":
- f′(a) — Lagrange notation (most common) …