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The Timpson Lyceum · Calculus 1 (2024)

Definition of Limits & One-Sided Limits - Lecture 5 (Calculus 1)

Overview

This lecture replaces the intuitive "what the function gets close to" idea of a limit with the precise epsilon–delta (ε\varepsilon–δ\delta) definition, the foundational definition of calculus. Because continuity, derivatives, and integrals are all built on limits, mastering this definition is essential. After motivating the definition with an interval "game," we work through several ε\varepsilon–δ\delta proofs (including the limit of a sum), then introduce one-sided (left-hand and right-hand) limits and the theorem connecting them to two-sided limits. The lecture closes with the squeeze (sandwich) theorem and its use to evaluate trigonometric limits like lim⁡θ→0sin⁡θθ\lim_{\theta\to 0}\frac{\sin\theta}{\theta}.

Key Concepts

The interval "game" (intuition). Given ff, a point cc, and a target output LL, the goal is: for any chosen tolerance around LL, find an interval around cc whose image lands entirely inside that tolerance. You only need to find an interval that works — not the largest one. The output tolerance is ε\varepsilon; the input radius is δ\delta.

Precise definition of a limit. Let f(x)f(x) be defined on an open interval around cc, except possibly at cc itself. We say lim⁡x→cf(x)=L\lim_{x \to c} f(x) = L provided that for every ε>0\varepsilon > 0 there exists a δ>0\delta > 0 such that for all xx, 0<∣x−c∣<δ  ⟹  ∣f(x)−L∣<ε.0 < |x - c| < \delta \implies |f(x) - L| < \varepsilon.

How an ε\varepsilon–δ\delta proof works. You are given an arbitrary ε>0\varepsilon > 0 and must produce a δ\delta (expressed in terms of ε\varepsilon) that makes the implication hold. There is no single "right" δ\delta — infinitely many work, since any smaller δ\delta also works. The standard method:

The min⁡\min trick for nonlinear ff. When simplifying produces an extra variable factor (e.g. ∣x−2∣⋅∣x+2∣|x - 2|\cdot|x + 2|), you cannot bound ∣x+2∣|x+2| until you first restrict xx. Set δ=min⁡{1, (expression in ε)}\delta = \min\{1,\ \text{(expression in } \varepsilon)\}. The "11" pre-bounds xx to a finite interval, giving a numeric upper bound on the troublesome factor; the ε\varepsilon-expression then forces ∣f(x)−L∣<ε|f(x)-L| < \varepsilon.

Triangle inequality. ∣a+b∣≤∣a∣+∣b∣|a + b| \le |a| + |b|. This is the key tool for proving the limit of a sum: group f(x)+g(x)−(L+M)f(x)+g(x)-(L+M) as (f(x)−L)+(g(x)−M)(f(x)-L)+(g(x)-M) and bound each piece by ε/2\varepsilon/2.

One-sided limits. A one-sided limit approaches cc from only one direction.

Existence theorem. The two-sided limit exists and equals LL if and only if both one-sided limits exist and agree: lim⁡x→cf(x)=L  ⟺  lim⁡x→c+f(x)=L=lim⁡x→c−f(x).\lim_{x \to c} f(x) = L \iff \lim_{x \to c^+} f(x) = L = \lim_{x \to c^-} f(x). If the one-sided limits differ (e.g. a jump), no two-sided limit exists. At a domain endpoint (e.g. 4−x2\sqrt{4 - x^2} at x=2x = 2, or x\sqrt{x} at x=0x = 0), one side is undefined, so only a one-sided limit can exist.

Limits need not exist. A function defined "nicely" can still fail to have a limit: sin⁡(1/x)\sin(1/x) oscillates faster and faster as x→0x \to 0, never settling on one value, so lim⁡x→0sin⁡(1/x)\lim_{x\to 0}\sin(1/x) does not exist.

Squeeze (Sandwich) Theorem. If g(x)≤f(x)≤h(x)g(x) \le f(x) \le h(x) near cc and lim⁡x→cg(x)=lim⁡x→ch(x)=L\lim_{x\to c} g(x) = \lim_{x\to c} h(x) = L, then lim⁡x→cf(x)=L\lim_{x\to c} f(x) = L. Using the unit-circle area comparison Area(△OAB)<Area(sector OAB)<Area(△OCB)\text{Area}(\triangle OAB) < \text{Area(sector } OAB) < \text{Area}(\triangle OCB) (the sector area being 12θr2\tfrac12\theta r^2 for radius r=1r=1) gives, after simplifying, the central trig limit: lim⁡θ→0sin⁡θθ=1.\lim_{\theta \to 0} \frac{\sin\theta}{\theta} = 1.

Companion trig limits. Built from the result above and the limit laws (the limit of a product/constant multiple distributes), e.g. lim⁡θ→01−cos⁡θθ=0\lim_{\theta\to0}\frac{1-\cos\theta}{\theta} = 0, lim⁡x→0sin⁡2x5x=25\lim_{x\to0}\frac{\sin 2x}{5x} = \frac{2}{5}, and lim⁡t→0tan⁡t sec⁡2t3t=13\lim_{t\to0}\frac{\tan t\,\sec 2t}{3t} = \frac13.

Worked Example

Prove that lim⁡x→1(5x−3)=2\displaystyle\lim_{x \to 1}(5x - 3) = 2.

Here f(x)=5x−3f(x) = 5x - 3, c=1c = 1, L=2L = 2. Given any ε>0\varepsilon > 0, work backward from ∣f(x)−L∣<ε|f(x) - L| < \varepsilon to find δ\delta, then state the forward proof.

Rule (what must be shown): 0<∣x−c∣<δ  ⟹  ∣f(x)−L∣<ε0 < |x - c| < \delta \implies |f(x) - L| < \varepsilon.

∣f(x)−2∣=∣(5x−3)−2∣=∣5x−5∣=5 ∣x−1∣∣f(x)−2∣<ε  ⟺  5 ∣x−1∣<ε  ⟺  ∣x−1∣<ε5⇒let δ=ε5Then ∣x−1∣<δ  ⟹  ∣f(x)−2∣=5 ∣x−1∣<5δ=5⋅ε5=ε.\begin{aligned} |f(x) - 2| &= |(5x - 3) - 2| = |5x - 5| = 5\,|x - 1| \\ |f(x) - 2| < \varepsilon &\iff 5\,|x - 1| < \varepsilon \iff |x - 1| < \tfrac{\varepsilon}{5} \quad\Rightarrow\quad \text{let } \delta = \tfrac{\varepsilon}{5} \\ \text{Then } |x - 1| < \delta &\implies |f(x) - 2| = 5\,|x - 1| < 5\delta = 5\cdot\tfrac{\varepsilon}{5} = \varepsilon. \end{aligned}

Since for every ε>0\varepsilon > 0 the choice δ=ε/5\delta = \varepsilon/5 forces ∣f(x)−2∣<ε|f(x) - 2| < \varepsilon, the limit is 22. ■\blacksquare

Summary