The Derivative — Slope at an Instant
“A derivative is just 'the slope at this very instant'.”
The formula
f'(x) = lim(h→0) [f(x+h) − f(x)] / hHow to read it: the limit of how many times more the output changes than a tiny change in x
- h
- — a tiny change in x
- f(x+h)−f(x)
- — how much the function value changed
- lim(h→0)
- — the limit as that change shrinks toward 0
The hook
The derivative looks scary, but it's really just one thing — 'how steep is it right at this instant'.
In plain words
Take the slope between two points (rise ÷ run), then slide the two points infinitely close to get 'the slope at a single point'.
The intuition
Rest a ruler against one point of a curve and it becomes the tangent line. Its slope is the derivative — like the 'current steepness' of a hill.
How it's built
The top f(x+h)−f(x) is the 'rise', the bottom h is the 'run' → their ratio is a slope. Send h to 0 and what remains is the slope at that instant.
Example
For f(x)=x² at x=1: (1+h)²−1 = 2h+h², divide by h to get 2+h, and as h→0 that's 2. So the slope at x=1 is 2.
Common mistake
'Instantaneous change' does not mean the change is 0 — the ratio of two near-zero quantities can converge to a nonzero value.
Where it's used
Velocity (derivative of position), optimization (max/min where slope is 0), and gradient descent in machine learning — all of it is this one idea.
Where it came from
Newton and Leibniz each invented it in the 1600s; Leibniz's notation dy/dx is the one that survived.
Prerequisites
Quick check
For f(x)=x², what is the derivative (slope) at x=3?
- 3
- 6✓
- 9
- 0
Practice
For f(x)=x³, what is the slope at x=2?
Answer: 12
- f'(x)=3x²
- Plug in x=2 → 3·4 = 12
Takeaway: Derivative = slope at that point. Set up the formula, substitute once.
On the curve y=x², where is the tangent's slope 0? Also jot down why.
Answer: undefined
- y'=2x
- slope 0 → 2x=0 → x=0
- at the 'bottom' of the curve the tangent is horizontal, so the slope is 0
Takeaway: Where the slope is 0 = the peak/bottom of the function. The seed of optimization.