Unit 2: Differentiation — Definition & Fundamental Properties
Product & Quotient Rules
Differentiating using the product rule and quotient rule.
Prerequisites
- Power & Sum Rules
Why the Derivative of a Product Isn't the Product of Derivatives
It's tempting to guess that d/dx[f(x)g(x)] = f'(x)g'(x) — derivatives distributed over sums, so why not products? Before reading on: test that guess on f(x) = x and g(x) = x, where f(x)g(x) = x² has a known derivative, 2x. Does f'(x)g'(x) = 1 · 1 = 1 match?
It doesn't match, so a genuine product rule is needed — and it can be derived from the difference quotient using an add-and-subtract trick. Write [f(x+h)g(x+h) − f(x)g(x)]/h, then insert and immediately remove f(x+h)g(x) in the numerator: f(x+h)g(x+h) − f(x+h)g(x) + f(x+h)g(x) − f(x)g(x). Group into two fractions: f(x+h)·[g(x+h) − g(x)]/h + g(x)·[f(x+h) − f(x)]/h. As h → 0, the first bracket's quotient becomes g'(x), the second becomes f'(x), and f(x+h) → f(x) by continuity (guaranteed by differentiability, from an earlier lesson). The result: f(x)g'(x) + g(x)f'(x).
Definition — Product and Quotient Rules
Worked Example — Applying the Product Rule
Worked Example — Applying the Quotient Rule
Derivative Explorer
Point of tangency
f(x), with tangent line at x = a
Derivative graph — linked to the graph above; panning or zooming either moves both
What's happening at x = a
- At x = 1, f(x) ≈ -2 — the point (1, -2).
- The derivative there is f'(1) ≈ 0: the slope of the tangent line, and the instantaneous rate of change of f at this exact point.
- That slope is positive, so f is increasing at this point.
- The second derivative is positive here, so f is concave up (curving upward) near this point.
- Near x = 1, the tangent line y ≈ -2 + 0·(x − 1) is f's best straight-line approximation — the core idea a derivative captures.
Numerical derivative comparison
| h | Forward | Backward | Central |
|---|---|---|---|
| 1 | 4 | -2 | 1 |
| 0.1 | 0.31 | -0.29 | 0.01 |
| 0.01 | 0.0301 | -0.0299 | 0.0001 |
| 0.001 | 0.003 | -0.003 | 0 |
Analysis of f(x)
- y-intercept
- (0, 0)
- x-intercepts
- (-1.73, 0), (0, 0), (1.73, 0)
- Extrema
- local max at (-1, 2); local min at (1, -2)
- Inflection points
- (0, 0)
- Vertical asymptotes
- none found in view
- Horizontal asymptotes
- none found
- Domain
- all real numbers in view
- Range (estimated)
- approximately [-970, 970]
Analysis of f'(x) — its roots are f's critical points
- y-intercept
- (0, -3)
- x-intercepts
- (-1, 0), (1, 0)
- Extrema
- local min at (0, -3)
- Inflection points
- none found in view
- Vertical asymptotes
- none found in view
- Horizontal asymptotes
- none found
- Domain
- all real numbers in view
- Range (estimated)
- approximately [-3, 297]
Tip
Common Mistakes
Differentiating (x² + 1)(3x − 2) as though it were f'(x)g'(x) = 2x · 3 = 6x.
There is no shortcut multiplying the two derivatives together — the product rule's f'g + fg' has two full terms, each pairing one function's derivative with the other function unchanged.
Reversing the subtraction order in the quotient rule numerator, writing fg' − f'g instead of f'g − fg'.
Order matters in the quotient rule's numerator — f'g − fg', with the derivative of the numerator function listed first — reversing it flips the sign of the entire result.
Key Takeaways
- The product rule, (fg)' = f'g + fg', comes from an add-and-subtract trick applied to the difference quotient of a product.
- The quotient rule, (f/g)' = (f'g − fg')/g², can itself be derived from the product rule by writing f = (f/g)·g and solving for (f/g)'.
- Expanding a product (or rewriting a quotient) before differentiating, when possible, is a reliable way to check a product- or quotient-rule computation.
Summary
This closes Unit 2: the derivative's definition, plus the power, sum, product, and quotient rules, handle any function built from sums, products, and quotients of powers of x. Unit 3 extends differentiation to functions built by composing one function inside another.
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