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Calculus

Calculus

Limits, derivative rules, and basic applications: tangents, monotonicity, extrema and simple optimization.

3

lessons in this chapter

0

previous exam questions

6 hr

suggested study time

Hard

chapter difficulty

Last reviewed Sep 2026 · GetCSCA editors

Study order

Work the lessons top to bottom — each ends with practice, a timed set and a 5-stage drill. Then prove it in a full 48Q mock.

Limits

Lesson 1 · target ~75s per question

Intuitive limits, 0/0 forms by factoring and rationalizing, and the two classic special limits.

Why CSCA tests this

Limits gatekeep CSCA calculus: every derivative, continuity check, and asymptote question starts by resolving a 0/0 form or a one-sided mismatch.

Key points — memorize

  • Try direct substitution first; only the indeterminate forms (0/0, ∞/∞) need algebra, while the rest evaluate immediately.
  • For 0/0 with polynomials, factor and cancel the common zero factor; with roots, rationalize by the conjugate, then substitute.
  • Scale to the memorized specials: sin u/u → 1 and (1 − cos u)/u → 0 require the inside argument u → 0.
  • A two-sided limit exists only if both one-sided limits exist and agree — piecewise joints and absolute values need both sides checked.
  • Continuity at c means three things coincide: f(c) defined, the limit exists, and the limit equals f(c).

Formula sheet

  • lim(x→0) sin x / x = 1
  • lim(n→∞)(1 + 1/n)ⁿ = e
  • lim(x→c)(f ± g) = lim f ± lim g
  • lim(x→c)(f · g) = lim f · lim g
  • 0/0: factor-cancel or rationalize first
  • lim(x→0)(1 − cos x)/x = 0; lim(x→0)(eˣ − 1)/x = 1
  • Two-sided limit exists ⇔ left and right limits agree
  • Continuous at c ⇔ lim(x→c) f(x) = f(c)

Classic traps

  • Cancelling (x − 2) while forgetting x ≠ 2 matters only for the function value, not the limit — then refusing to substitute.
  • Applying lim sin x/x = 1 when the argument does not tend to 0, e.g. sin 3x/x without rescaling to 3·sin(3x)/(3x).
  • Checking only one side at a piecewise joint or cusp and declaring the limit exists.
  • Concluding a limit equals f(c) for a discontinuous function without verifying continuity.

Exam tactic

On sight of 0/0, decide factor vs rationalize in two seconds (polynomial → factor; square-root difference → conjugate), then execute — don't stare.

Worked examples

  1. Example 1: Compute lim(x→2) (x² − 4)/(x − 2).

    1. Direct substitution gives 0/0 — factor: (x − 2)(x + 2)/(x − 2).
    2. Cancel (x ≠ 2 near the limit): limit = 2 + 2.

    Answer: 4

  2. Example 2: Compute lim(x→0) sin 3x / x.

    1. Rewrite: 3 · (sin 3x)/(3x).
    2. As x → 0, sin 3x/(3x) → 1, so the limit is 3.

    Answer: 3

Derivatives

Lesson 2 · target ~70s per question

Derivative meaning (slope + rate of change), power/product/quotient/chain rules, and derivatives of key functions.

Why CSCA tests this

Derivative rules are CSCA's calculus engine: tangents, monotonicity, and every optimization item reduce to differentiating correctly and fast.

Key points — memorize

  • Classify the structure before differentiating: single power → power rule, product → product rule, quotient → quotient rule, nested → chain rule.
  • Chain rule multiplies rates layer by layer: derivative of the outside at the inside, times the derivative of the inside — repeat for triple nesting.
  • Memorize the transcendental five: eˣ reproduces, ln x gives 1/x, sin ↔ cos with the minus on (cos)′, plus aˣ ln a and tan → sec².
  • Simplify first (expand products, split quotients, convert roots to fractional powers) so the power rule handles more terms directly.
  • Read f′(a) geometrically as the tangent slope at a and physically as the instantaneous rate of change of f at a.

Formula sheet

  • (xⁿ)′ = n·xⁿ⁻¹
  • (uv)′ = u′v + uv′
  • (u/v)′ = (u′v − uv′)/v²
  • [f(g(x))]′ = f′(g(x)) · g′(x)
  • (eˣ)′ = eˣ; (ln x)′ = 1/x; (sin x)′ = cos x; (cos x)′ = −sin x
  • (c)′ = 0; (cu)′ = cu′; (u ± v)′ = u′ ± v′
  • (tan x)′ = sec²x; (aˣ)′ = aˣ ln a; (log_a x)′ = 1/(x ln a)
  • f′(a) = lim(h→0)(f(a+h) − f(a))/h — slope of tangent at a

Classic traps

  • Dropping the inner derivative in the chain rule, e.g. writing (sin(x²))′ = cos(x²).
  • Swapping quotient-rule order to (uv′ − u′v)/v² or forgetting to square the denominator.
  • Writing (ln x)′ = 1/x without restricting x > 0, or (xⁿ)′ = nxⁿ without lowering the exponent.
  • Applying product/quotient rules to compositions (or vice versa) instead of naming the outer structure first.

Exam tactic

Circle the outer function and box the inner one before writing anything — visible nesting makes the missing ×g′(x) factor almost impossible to drop.

Worked examples

  1. Example 1: Differentiate f(x) = x³·eˣ.

    1. Product rule: f′ = 3x²·eˣ + x³·eˣ.
    2. Factor: x²eˣ(x + 3).

    Answer: f′(x) = x²eˣ(x + 3)

  2. Example 2: Differentiate f(x) = sin(x²).

    1. Chain rule: outside sin → cos(x²).
    2. Multiply by inside derivative 2x.

    Answer: f′(x) = 2x·cos(x²)

Basic Applications

Lesson 3 · target ~75s per question

Tangent lines, increasing/decreasing intervals, local extrema, and one-variable optimization word problems.

Why CSCA tests this

Application items convert CSCA calculus into points: tangent lines, max/min classification, and one-variable optimization follow one repeatable recipe.

Key points — memorize

  • Tangent lines need exactly two numbers: the point value f(x₀) and the slope f′(x₀), assembled as y = f(x₀) + f′(x₀)(x − x₀).
  • Collect all critical points (f′ = 0 or undefined but f defined), then run a sign chart: − → + is a min, + → − is a max, no change is neither.
  • On a closed interval, the global max/min is the largest/smallest among f at the endpoints and at interior critical points — never skip endpoints.
  • Optimization word problems reduce to one variable via the constraint (e.g. perimeter), then differentiate, solve f′ = 0, and verify with sign or f′′.
  • Respect the word-problem domain (lengths, counts positive): a critical point outside the feasible interval is discarded.

Formula sheet

  • Tangent: y = f(x₀) + f′(x₀)(x − x₀)
  • Critical points: f′(x) = 0 or undefined
  • Max on [a, b]: max{f(a), f(b), f(critical)}
  • f′: − → + ⇒ local min; + → − ⇒ local max
  • Second-derivative check: f′′(x₀) > 0 ⇒ local min
  • f′ > 0 increasing; f′ < 0 decreasing — sign chart decides
  • Optimization: single-variable f → f′ = 0 → verify → check endpoints/domain
  • Second-derivative check: f′′(x₀) < 0 ⇒ local max; = 0 inconclusive

Classic traps

  • Reporting a local extremum as the global one without evaluating endpoints on [a, b].
  • Treating f′(x₀) = 0 as sufficient (x³ at 0) without a sign or second-derivative check.
  • Optimizing a two-variable expression without substituting the constraint first.
  • Giving the extremal x-value when the question asks for the maximum value f(x) (or vice versa).

Exam tactic

Finish every max/min item with the endpoint-and-critical table {a, criticals, b} → f-values; the largest/smallest row is the answer, no judgment calls.

Worked examples

  1. Example 1: Find the tangent to f(x) = x² at x = 3.

    1. f(3) = 9, f′(x) = 2x so f′(3) = 6.
    2. y = 9 + 6(x − 3) = 6x − 9.

    Answer: y = 6x − 9

  2. Example 2: Find the local extrema of f(x) = x³ − 3x.

    1. f′(x) = 3x² − 3 = 0 ⇒ x = ±1.
    2. f′ changes + → − at x = −1 (max, f = 2) and − → + at x = 1 (min, f = −2).

    Answer: Local max 2 at x = −1; local min −2 at x = 1

Previous exam questions

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Finished Calculus? Prove it.

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