The Squeeze Theorem: A Powerful Tool
When direct algebraic methods fail, the Squeeze Theorem offers an elegant way to find limits by "trapping" a function between two simpler functions.
The Squeeze Theorem states: If f(x) ≤ g(x) ≤ h(x) near a (except possibly at a) and both lim f(x) and lim h(x) equal L as x → a, then lim g(x) = L as well.
Think of it like this: if g(x) is sandwiched between two functions that both approach the same value, then g(x) must approach that value too!
For example, to find limx→4g(x) given that −10x≤g(x)≤−6x−x2:
First, calculate the limits of the bounding functions:
limx→4(−10x)=−40
limx→4(−6x−x2)=−24−16=−40
Since both bounds approach -40, by the Squeeze Theorem:
limx→4g(x)=−40
This is especially useful for oscillating functions. For instance, to find limx→0x10cos(x5):
We know −1≤cos(x5)≤1, so:
−x10≤x10cos(x5)≤x10
As x→0, both −x10 and x10 approach 0, so:
limx→0x10cos(x5)=0
✨ The Squeeze Theorem is your secret weapon for functions with complicated behavior. It's particularly useful for products involving trigonometric functions or other oscillating terms.