Lesson 7 of 12
Interactive lesson · limits

Squeeze Theorem: Definition, Visual Example & How It Works

The green curve keeps wiggling near 0, so chasing its exact value point by point is hopeless. Instead, trap it: yellow x² stays above, pink −x² stays below. Drag right and watch both walls collapse toward 0.

Learning goalExplain the Squeeze Theorem as convergence forced by two bounds with the same limit.
−x2 ≤ x2 sin(10x) ≤ x2, x ≠ 0limx→0 x2 sin(10x) = 0
Step 1

Move the idea

Drag the slider

Try it: shrink the trap around x=0

Move the slider

Change one parameter and watch what changes with it.

Step 2 · The aha

Stop chasing the wiggle. Control its cage. If both walls squeeze to the same number, everything trapped between them is forced to go there too.

01

Do not chase the wiggle

Because −1≤sin(10/x)≤1, multiplying by x² gives −x²≤x²sin(10/x)≤x². The green curve can oscillate as much as it wants, but it can never escape the two parabolas.

02

Watch the cage shrink

Inside |x|≤δ, both walls are at most δ² away from zero. Make δ smaller and the vertical room left for the green curve collapses toward zero.

03

The reusable rule

The Squeeze Theorem is a comparison principle: when a hard function stays between two easier functions with the same limit, the middle limit is forced too.

Work it through

Make the idea reusable.

Squeeze Theorem statement

If g(x)≤f(x)≤h(x) near x=a and both outer functions approach the same limit L, then f(x) must also approach L.

When to use it

Look for a difficult function whose size or oscillation can be bounded by simpler expressions. Trigonometric factors such as sin(1/x) are classic candidates because their values stay between −1 and 1.

What the theorem does not require

The middle function does not need to be monotone, and its value at x=a does not determine the limit. The key requirement is that both valid bounds converge to the same destination.

Step 3 · One-question check

Did it click?

If g(x) ≤ f(x) ≤ h(x) near x=a and both g(x) and h(x) approach L, what must f(x) approach?

Continue the path
Next: build the slope idea before turning it into a derivative