Limits at Infinity and Asymptotes

Switch on a phone that has been dead for hours and watch the battery graph climb. It shoots up fast at first, then eases, then crawls — 90%… 97%… 99%… — forever inching toward 100\% but taking an age to get there. A spreading rumour, a cooling cup of coffee, a charging capacitor, a car reaching its top speed: astonishingly many things in the world settle toward a level they approach but never quite reach.

Calculus has a precise name for that settling height — a limit at infinity — and for the invisible line the graph hugs out at the far end: a horizontal asymptote. Master these and you can read the long-run fate of a function straight off its formula, without plotting a single extra point.

Most limits ask what happens as x creeps toward a number. A limit at infinity asks something different: what does f(x) head toward as x grows without bound — marching off forever to the right (or left)?

\lim_{x \to \infty} \frac{1}{x} = 0

Plug in bigger and bigger inputs — 10, 100, 1000 — and \tfrac{1}{x} shrinks to 0.1, 0.01, 0.001. The curve flattens out and presses closer and closer to the x-axis, never quite touching it.

When f(x) \to L as x \to \pm\infty, the horizontal line y = L is a horizontal asymptote — the height the graph hugs out at the far ends.

Asymptotes of a rational function

For a fraction of polynomials, the trick is to divide top and bottom by the highest power of x and see what survives. Take

\frac{2x + 1}{x + 3} = \frac{2 + \tfrac{1}{x}}{1 + \tfrac{3}{x}} \;\xrightarrow[\;x \to \infty\;]{}\; \frac{2 + 0}{1 + 0} = 2.

The small \tfrac{1}{x} and \tfrac{3}{x} terms vanish, leaving 2. So y = 2 is a horizontal asymptote. A vertical asymptote is different: it sits where the denominator hits zero — here at x = -3 — and the function blows up toward \pm\infty.

The degree race: three outcomes

Once you divide through, the whole story of a rational function's far-off behaviour comes down to a race between the top degree and the bottom degree. There are exactly three finishes.

Example 1 — bottom wins (top degree < bottom degree). Find \displaystyle\lim_{x\to\infty}\frac{3x+2}{x^2+1}. The highest power below is x^2, so divide every term by x^2:

\frac{3x+2}{x^2+1}=\frac{\tfrac{3}{x}+\tfrac{2}{x^2}}{1+\tfrac{1}{x^2}} \;\xrightarrow[\;x\to\infty\;]{}\;\frac{0+0}{1+0}=0.

The denominator grows faster, so the fraction is crushed to 0. Horizontal asymptote y=0.

Example 2 — a dead heat (equal degrees). Find \displaystyle\lim_{x\to\infty}\frac{4x^2-x}{2x^2+7}. Divide top and bottom by x^2:

\frac{4x^2-x}{2x^2+7}=\frac{4-\tfrac{1}{x}}{2+\tfrac{7}{x^2}} \;\xrightarrow[\;x\to\infty\;]{}\;\frac{4-0}{2+0}=2.

When the degrees tie, the limit is just the ratio of the leading coefficients, \tfrac{4}{2}=2. Horizontal asymptote y=2.

Example 3 — top wins (top degree > bottom degree). For \dfrac{x^2+1}{x+1}, dividing through leaves an x on top that never dies:

\frac{x^2+1}{x+1}=\frac{x+\tfrac{1}{x}}{1+\tfrac{1}{x}}\;\to\;\infty.

There is no horizontal asymptote — the function runs off to infinity. (It does follow a slanted line, an oblique asymptote, but that is a story for another page.)

Watch the curve flatten

Here is y = \dfrac{2x + 1}{x + 3} drawn against its horizontal asymptote y = 2 (dashed). As x runs to the right, the solid curve rises and presses ever closer to the dashed line — that is the limit at infinity made visible.

Reading a real model

A pond stocks fish and biologists model the population by

P(t) = \frac{500\,t}{t + 4}\quad(t \text{ in years}).

What happens in the long run? Divide top and bottom by t:

P(t)=\frac{500}{1+\tfrac{4}{t}}\;\xrightarrow[\;t\to\infty\;]{}\;\frac{500}{1+0}=500.

The population climbs toward 500 and levels off — that ceiling is the pond's carrying capacity, the horizontal asymptote P = 500. The fish never quite reach exactly 500, but for any practical purpose they get as close as you like. Reading the asymptote off the formula told us the model's whole future in one line.

Two traps snare almost everyone here.

Limits at infinity are secretly the mathematics of destiny. Ask "how does this end?" and you are asking for a limit at infinity:

Every one of these is a curve pressing toward a horizontal line it never touches. And that idea — getting arbitrarily close without ever reaching — is the beating heart of all of calculus. Making it airtight is exactly what the epsilon–delta definition of a limit does: it pins down "as close as you like" with real inequalities, so "never quite reaches" becomes a theorem rather than a hand-wave.

See it explained