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🎯⭐ INTERACTIVE LESSON

Limits at Infinity

Learn step-by-step with interactive practice!

Limits at Infinity - Complete Interactive Lesson

Part 1: Limits at Infinity & Horizontal Asymptotes

♾️ Limits at Infinity — End Behavior

Part 1 of 4 — What lim⁡x→±∞\lim_{x \to \pm\infty} means


Topics in This Part

Section
The Idea of x→±∞x \to \pm\infty
🔑 Horizontal Asymptotes
Quick Reference Table

🔑 Why this matters: End behavior governs horizontal asymptotes — a foundational topic for both limits and integration later.

💡 What Does lim⁡x→∞f(x)=L\lim_{x \to \infty} f(x) = L Mean?

As xx gets arbitrarily large, f(x)f(x) gets arbitrarily close to LL.

We are not plugging ∞\infty into ff — ∞\infty isn't a number. We're asking: as xx marches off to the right, where is ff headed?

Same idea for lim⁡x→−∞f(x)=L\lim_{x \to -\infty} f(x) = L — march to the left.

💡 The two ends are independent: ff might approach different limits as x→∞x \to \infty and as x→−∞x \to -\infty.

🔑 Horizontal Asymptotes

The line y=Ly = L is a horizontal asymptote of ff if lim⁡x→∞f(x)=L\lim_{x \to \infty} f(x) = L or lim⁡x→−∞f(x)=L\lim_{x \to -\infty} f(x) = L.

A function can have:

  • 0 horizontal asymptotes (e.g., f(x)=x2f(x) = x^2 — both ends →+∞\to +\infty)
  • 1 horizontal asymptote (e.g., f(x)=exf(x) = e^x — left end →0\to 0, right end →∞\to \infty, so y=0y = 0 on the left only)
  • 2 horizontal asymptotes (e.g., f(x)=arctan⁡xf(x) = \arctan x — −π/2-\pi/2 on the left, π/2\pi/2 on the right)

⚠️ A function can cross a horizontal asymptote — it just can't stay away from it forever.

📋 Quick Reference

Functionx→+∞x \to +\inftyx→−∞x \to -\infty
1/x1/x0000
1/x21/x^20000
exe^x+∞+\infty00
e−xe^{-x}00+∞+\infty
ln⁡x\ln x+∞+\inftyundefined
arctan⁡x\arctan xπ/2\pi/2−π/2-\pi/2

End-Behavior Vocab 🎯

Compute Limits at Infinity 🧮

1) lim⁡x→∞5x=?\lim_{x \to \infty} \dfrac{5}{x} = ?

2) lim⁡x→−∞ex=?\lim_{x \to -\infty} e^x = ?

3) lim⁡x→∞arctan⁡x=?\lim_{x \to \infty} \arctan x = ? (use pi/2)

Part 2: Rational Functions Compare Degrees

📊 Rational Functions at Infinity

Part 2 of 4 — Compare degrees


Topics in This Part

Section
🔑 The Three-Case Rule
Why It Works (Divide-By-Highest-Power)
Examples

🔑 Why this matters: Almost every AP "limit at infinity" problem on a rational function is solved by the degree-comparison rule.

🔑 The Three-Case Rule

For lim⁡x→±∞p(x)q(x)\lim_{x \to \pm\infty} \dfrac{p(x)}{q(x)} with degrees deg⁡p=m\deg p = m, deg⁡q=n\deg q = n:

CaseResult
m<nm < n (bottom heavier)Limit =0= 0
m=nm = n (equal degrees)Limit =leading coef of pleading coef of q= \dfrac{\text{leading coef of } p}{\text{leading coef of } q}
m>nm > n (top heavier)Limit =±∞= \pm\infty (sign depends on leading coefficients and direction) — DNE as a finite limit

💡 Memorize this. It's the single most useful rule in this section.

🛠️ Why It Works — Divide By Highest Power

Take lim⁡x→∞3x2+5x2x2−7\lim_{x \to \infty} \dfrac{3x^2 + 5x}{2x^2 - 7}. Divide top and bottom by x2x^2:

3+5/x2−7/x2\dfrac{3 + 5/x}{2 - 7/x^2}

As x→∞x \to \infty, 5/x→05/x \to 0 and 7/x2→07/x^2 \to 0:

3+02−0=32\dfrac{3 + 0}{2 - 0} = \dfrac{3}{2}

The non-leading terms become negligible, leaving just the ratio of leading coefficients.

📝 Examples

LimitCaseAnswer
lim⁡x→∞4x+1x2+3\lim_{x \to \infty} \dfrac{4x + 1}{x^2 + 3}m<nm < n00
lim⁡x→∞6x3−2x3x3+5\lim_{x \to \infty} \dfrac{6x^3 - 2x}{3x^3 + 5}m=nm = n6/3=26/3 = 2
lim⁡x→∞x2x+1\lim_{x \to \infty} \dfrac{x^2}{x + 1}m>nm > n+∞+\infty
lim⁡x→−∞x3+1x2\lim_{x \to -\infty} \dfrac{x^3 + 1}{x^2}m>nm > n−∞-\infty

Apply the Three-Case Rule 🎯

Compute 🧮

1) lim⁡x→∞8x3−54x3+x=?\lim_{x \to \infty} \dfrac{8x^3 - 5}{4x^3 + x} = ?

2) lim⁡x→∞3x+1x2−7=?\lim_{x \to \infty} \dfrac{3x + 1}{x^2 - 7} = ?

3) lim⁡x→−∞6x2−112x2+5=?\lim_{x \to -\infty} \dfrac{6x^2 - 11}{2x^2 + 5} = ?

Part 3: Radicals at Infinity

√ Radicals at Infinity

Part 3 of 4 — Be careful with ∣x∣|x| when x→−∞x \to -\infty


Topics in This Part

Section
The "Effective Degree" of a Radical
🔑 The x2=∣x∣\sqrt{x^2} = \lvert x \rvert Trap
Worked Example for x→−∞x \to -\infty

🔑 Why this matters: A square root contributes "half a degree." And the sign on xx matters when xx is negative.

📐 Effective Degree

For end behavior, x2\sqrt{x^2} behaves like xx in size — it has "effective degree 1." More generally, x2k\sqrt{x^{2k}} has effective degree kk.

Example. lim⁡x→∞x2+1x+1\lim_{x \to \infty} \dfrac{\sqrt{x^2 + 1}}{x + 1}.

  • Numerator effective degree 1; denominator degree 1 → equal.
  • Leading behavior: numerator ∼x\sim x, denominator ∼x\sim x. Ratio →1\to 1.

So this limit is 11 as x→∞x \to \infty.

⚠️ The x2=∣x∣\sqrt{x^2} = |x| Trap

The identity is: x2=∣x∣={xx≥0−xx<0\sqrt{x^2} = |x| = \begin{cases} x & x \ge 0 \\ -x & x < 0 \end{cases}

So when x→−∞x \to -\infty, x2=−x\sqrt{x^2} = -x (positive), not xx. This sign change matters.

Worked example. lim⁡x→−∞x2+1x+1\lim_{x \to -\infty} \dfrac{\sqrt{x^2 + 1}}{x + 1}.

  • Divide top and bottom by ∣x∣=−x|x| = -x (since x→−∞x \to -\infty):

1+1/x2(x+1)/(−x)=1+1/x2−1−1/x\dfrac{\sqrt{1 + 1/x^2}}{(x + 1)/(-x)} = \dfrac{\sqrt{1 + 1/x^2}}{-1 - 1/x}

  • As x→−∞x \to -\infty: numerator →1=1\to \sqrt{1} = 1, denominator →−1\to -1.

Answer: 1−1=−1\dfrac{1}{-1} = -1.

💡 Compare: as x→+∞x \to +\infty the same expression gives +1+1. The two ends differ in sign.

🚀 Shortcut: Look at Leading Behavior

For ax2+…\sqrt{ax^2 + \ldots} as x→±∞x \to \pm\infty:

  • x→+∞x \to +\infty: ax2+…∼a x\sqrt{ax^2 + \ldots} \sim \sqrt{a}\,x
  • x→−∞x \to -\infty: ax2+…∼−a x\sqrt{ax^2 + \ldots} \sim -\sqrt{a}\,x (because we need a positive output and xx is negative)

This shortcut handles most AP problems quickly.

Sign-Aware Limits 🎯

Practice 🧮

1) lim⁡x→∞9x2+xx+5=?\lim_{x \to \infty} \dfrac{\sqrt{9x^2 + x}}{x + 5} = ?

2) lim⁡x→−∞9x2+xx+5=?\lim_{x \to -\infty} \dfrac{\sqrt{9x^2 + x}}{x + 5} = ?

Part 4: Exponentials, Logs, and DNE Cases

🌐 Other Cases — Exponentials, Logs, and Oscillation

Part 4 of 4 — Beyond rationals


Topics in This Part

Section
Exponentials Win the Growth Race
Logs Lose the Growth Race
When Limits at Infinity DNE

🔑 Why this matters: Many limit-at-infinity problems involve exe^x, ln⁡x\ln x, or oscillating functions. Each has its own rules.

🚀 Exponentials Beat Polynomials

For any positive nn: exe^x grows faster than xnx^n. So lim⁡x→∞xnex=0,lim⁡x→∞exxn=+∞.\lim_{x \to \infty} \dfrac{x^n}{e^x} = 0, \qquad \lim_{x \to \infty} \dfrac{e^x}{x^n} = +\infty.

Example. lim⁡x→∞x100ex=0\lim_{x \to \infty} \dfrac{x^{100}}{e^x} = 0. (Even with a huge polynomial, the exponential wins.)

For x→−∞x \to -\infty: ex→0e^x \to 0, so things like x2ex→0x^2 e^x \to 0 (still exponential dominates the polynomial).

🐢 Logs Lose to Polynomials

For any positive nn: ln⁡x\ln x grows slower than xnx^n.

lim⁡x→∞ln⁡xxn=0,lim⁡x→∞xnln⁡x=+∞.\lim_{x \to \infty} \dfrac{\ln x}{x^n} = 0, \qquad \lim_{x \to \infty} \dfrac{x^n}{\ln x} = +\infty.

Growth hierarchy (slowest to fastest, going to +∞+\infty): ln⁡x  ≪  x1/2  ≪  x  ≪  x2  ≪  ex\ln x \;\ll\; x^{1/2} \;\ll\; x \;\ll\; x^2 \;\ll\; e^x

🚫 When the Limit at Infinity DNE

Some functions don't settle to a value or to ±∞\pm\infty at infinity:

  • sin⁡x\sin x, cos⁡x\cos x as x→∞x \to \infty — oscillate forever between −1-1 and 11. DNE.
  • xsin⁡xx \sin x — amplitude grows, oscillates between ±∞\pm\infty. DNE.

But:

  • sin⁡xx→0\dfrac{\sin x}{x} \to 0 as x→∞x \to \infty (Squeeze Theorem: bounded numerator, growing denominator).

💡 Bounded over growing gives 0. Growing × bounded oscillation fails to converge.

Beyond Rationals 🎯

Exit Check ✅