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Squeeze theorem

Method for finding limits in calculus

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Through Calculus, Theorem and Limit of a function

The squeeze theorem is used in calculus and mathematical analysis, typically to confirm the limit of a function via comparison with two other functions whose limits are known. It was first used geometrically by the mathematicians Archimedes and Eudoxus in an effort to compute π, and was formulated in modern terms by Carl Friedrich Gauss.

Statement

The squeeze theorem is formally stated as follows.

Theorem— Let I be an interval containing the point a. Let g, f, and h be functions defined on I, except possibly at a itself. Suppose that for every x in I not equal to a, we have g(x)≤f(x)≤h(x) and also suppose that limx→ag(x)=limx→ah(x)=L. Then limx→af(x)=L.

  • The functions g and h are said to be lower and upper bounds (respectively) of f.
  • Here, a is not required to lie in the interior of I. Indeed, if a is an endpoint of I, then the above limits are left- or right-hand limits.
  • A similar statement holds for infinite intervals: for example, if I = (0, ∞), then the conclusion holds, taking the limits as x → ∞.

This theorem is also valid for sequences. Let (an), (cn) be two sequences converging to ℓ, and (bn) a sequence. If ∀n≥N,N∈N we have an ≤ bn ≤ cn, then (bn) also converges to ℓ.

Proof

According to the above hypotheses we have, taking the limit inferior and superior: L=limx→ag(x)≤lim infx→af(x)≤lim supx→af(x)≤limx→ah(x)=L, so all the inequalities are indeed equalities, and the thesis immediately follows.

A direct proof, using the (ε, δ)-definition of limit, would be to prove that for all real ε > 0 there exists a real δ > 0 such that for all x with |x−a|<δ, we have |f(x)−L|<ε. Symbolically,

∀ε>0,∃δ>0:∀x,(|x−a|<δ⇒|f(x)−L|<ε).

As

limx→ag(x)=L

means that

and limx→ah(x)=L

means that

then we have

g(x)≤f(x)≤h(x) g(x)−L≤f(x)−L≤h(x)−L

We can choose δ:=min{δ1,δ2}. Then, if |x−a|<δ, combining (1) and (2), we have

−ε<g(x)−L≤f(x)−L≤h(x)−L<ε, −ε<f(x)−L<ε,

which completes the proof. Q.E.D

The proof for sequences is very similar, using the ε-definition of the limit of a sequence.

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