4.1.13 · D3Calculus I — Limits & Derivatives

Worked examples — Sum, difference, constant multiple rules

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Everything here rests on three facts from the parent note. Let me restate them in plain words before we use a single symbol:

We also lean on the Power rule for individual pieces: — read as "bring the exponent down in front, then lower the exponent by one". Everything else is combining these.


The scenario matrix

Below is every class of problem linearity can present. Each row is a "cell"; the examples that follow are tagged with the cell they cover.

# Cell (case class) What makes it tricky Example
A Plain polynomial, all positive terms warm-up, power rule + sum Ex 1
B Mixed signs / subtraction of a multi-term group the minus sign must distribute Ex 2
C Constant term + constant multiple derivative of a constant is Ex 1, Ex 2
D Negative & fractional exponents (rewrite first) roots and hidden as powers Ex 3
E Different function types mixed (sin, , ln) linearity lets them coexist Ex 4
F Degenerate: constant multiple or limiting/edge values of Ex 5
G Evaluate the slope at a specific point (sign of slope) plug a number, read geometry Ex 6
H Real-world word problem (rates add) translate words → linearity Ex 7
I Exam twist: looks like a product, isn't must expand before differentiating Ex 8

The worked examples


Recall Self-check: which cell was hardest?

Sign trap (Cell B) ::: the leading minus must distribute over every term inside the bracket. Rewrite trap (Cell D) ::: convert roots and fractions to explicit powers before the power rule. Product trap (Cell I) ::: expand first — linearity never splits a product.


Connections

  • Sum, difference, constant multiple rules — the parent rules drilled here.
  • Power rule — the per-term engine used in almost every example.
  • Product rule — the sibling rule needed in Cell I.
  • Definition of the derivative (limit of difference quotient) — where slopes come from.
  • Limit laws (sum, scalar, product of limits) — why the sum rule is legal.
  • Linearity of integration — the same trick, run backwards.
  • Linear operators — the abstract reason different function types never interfere.