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Pure · Differentiation

Chapter 1 · 4

The idea

Differentiation from first principles

The definition every differentiation rule is built on — the gradient as the limit of a chord — and the "cancel the h, then let h → 0" technique for using it directly.

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Pure · Differentiation

Differentiation from first principles

The definition every differentiation rule is built on — the gradient as the limit of a chord — and the "cancel the h, then let h → 0" technique for using it directly.

Why it works

The chord that becomes a tangent

Every differentiation rule you'll ever use rests on a single definition, and "from first principles" means going back to it instead of using a shortcut. The exam asks this directly — "differentiate x2x^2 from first principles" is a regular 3–4 marker, and quoting 2x2x from the power rule scores none of it: the marks are for the definition and the limit, shown step by step.

Sneaking up on a curve's gradient

The gradient of a straight line is easy — rise over run. A curve's gradient keeps changing, so we sneak up on it. Take the point at xx and a second point a small step hh further along, at x+hx + h. The straight line joining them (a chord) has gradient f(x+h)−f(x)h(rise over run).\frac{f(x+h) - f(x)}{h} \quad (\text{rise over run}). Now slide that second point in, letting hh shrink toward 00: the chord pivots until it becomes the tangent, and its gradient becomes the gradient of the curve itself. That limit is the derivative:

f′(x)=lim⁡h→0f(x+h)−f(x)hf'(x) = \lim_{h \to 0} \frac{f(x+h) - f(x)}{h}

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The rest of the explanation, plus 2 worked examples you step through move by move.

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