Squeeze Theorem
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Contents |
[edit] Theorem
Otherwise known (particularly in the UK) as the "sandwich theorem".
[edit] Sequences
There are two versions of this result:
- one for sequences in the set of complex numbers
;
- one for sequences in the set of real numbers
(which is stronger).
[edit] Sequences of Real Numbers
Let
and
be sequences in
.
Let
and
be convergent to the following limit:
Suppose that
.
Then
as
, that is,
.
That is, if
is always between two other sequences that both converge to the same limit,
is said to be "sandwiched" or "squeezed" between those two sequence and itself must therefore converge to that same limit.
[edit] Corollary
Let
be a sequence in
which is null, that is:
as
.
Let
.
Then
as
.
[edit] Sequences of Complex Numbers
Let
be a sequence in
which is null, that is:
as
.
Let
be a sequence in
Suppose
dominates
.
That is, suppose that
.
Then
is a null sequence.
[edit] Functions
Let a be a point on an open real interval I.
Also let f, g and h be real functions defined and continuous at all points of I except for possibly at point a.
Suppose that:
-
;
-
.
Then
.
[edit] Proof
[edit] Proof for Real Sequences
Note from the corollary to Negative of Absolute Value, we have
.
Let ε > 0.
We need to prove that
.
As
we know that
.
As
we know that
.
Let
.
Then if n > N, n > N1 and n > N2.
So:
-
;
-
.
But
.
So
and so
.
So
.
Hence the result.
[edit] Proof of Corollary
From the corollary to Negative of Absolute Value, we have
From the Combination Theorem for Sequences,
as
, and
as
.
So by the Squeeze Theorem for Sequences,
as
.
[edit] Proof for Complex Sequences
In order to show that
is a null sequence, we want to show that:
.
But since
is a null sequence:
.
So, using this value of n, we have:
.
Hence the result.
[edit] Proof for Functions
We start by proving the special case where
and L = 0, in which case
.
Let ε > 0 be a positive real number.
Then by the definition of the limit of a function,
.
Now
so that
.
Thus
.
By the transitive property of
, this proves that
.
We now move on to the general case, with
and L arbitrary.
For
, we have
.
By subtracting
from all expressions, we have
.
Since as
and
, we have
.
From the special case, we now have
.
We conclude that
.
[edit] Alternative Proof for Functions
Alternatively, the result Limit of Function by Convergent Sequences can directly applied to the Squeeze Theorem for Sequences:
Let f,g,h be real functions defined on an open interval
, except possibly at the point
.
Let:
-
;
-
;
-
except perhaps at x = c.
Let
be a sequence of points of
such that
and
.
By Limit of Function by Convergent Sequences,
and
.
Since
it follows from the Squeeze Theorem for Sequences that
.
The result follows from Limit of Function by Convergent Sequences.
[edit] Comment
A useful tool to determine the limit of a sequence or function which is difficult to calculate or analyze.
If you can prove it is always between two sequences, both converging to the same limit, whose behavior is considerably more tractable, you can save yourself the trouble of working on that awkward case.

