Stolz–Cesàro theorem explained

In mathematics, the Stolz–Cesàro theorem is a criterion for proving the convergence of a sequence. It is named after mathematicians Otto Stolz and Ernesto Cesàro, who stated and proved it for the first time.

The Stolz–Cesàro theorem can be viewed as a generalization of the Cesàro mean, but also as a l'Hôpital's rule for sequences.

Statement of the theorem for the case

Let

(an)n

and

(bn)n

be two sequences of real numbers. Assume that

(bn)n

is a strictly monotone and divergent sequence (i.e. strictly increasing and approaching

+infty

, or strictly decreasing and approaching

-infty

) and the following limit exists:

\limn

an+1-an
bn+1-bn

=l.

Then, the limit

\limn

an
bn

=l.

Statement of the theorem for the case

Let

(an)n

and

(bn)n

be two sequences of real numbers. Assume now that

(an)\to0

and

(bn)\to0

while

(bn)n

is strictly decreasing. If

\limn

an+1-an
bn+1-bn

=l,

then

\limn

an
bn

=l.

[1]

Proofs

Proof of the theorem for the case

Case 1: suppose

(bn)

strictly increasing and divergent to

+infty

, and

-infty<l<infty

. By hypothesis, we have that for all

\epsilon/2>0

there exists

\nu>0

such that

\foralln>\nu

\left|an+1-an
bn+1-bn

-l\right|<

\epsilon
2

,

which is to say
l-\epsilon/2<an+1-an
bn+1-bn

<l+\epsilon/2,\foralln>\nu.

Since

(bn)

is strictly increasing,

bn+1-bn>0

, and the following holds

(l-\epsilon/2)(bn+1-bn)<an+1-an<(l+\epsilon/2)(bn+1-bn),\foralln>\nu

.Next we notice that

an=[(an-an-1)+...+(a\nu+2-a\nu+1)]+a\nu+1

thus, by applying the above inequality to each of the terms in the square brackets, we obtain

\begin{align} &(l-\epsilon/2)(bn-b\nu+1)+a\nu+1=(l-\epsilon/2)[(bn-bn-1)+...+(b\nu+2-b\nu+1)]+a\nu+1<an\\ &an<(l+\epsilon/2)[(bn-bn-1)+...+(b\nu+2-b\nu+1)]+a\nu+1=(l+\epsilon/2)(bn-b\nu+1)+a\nu+1.\end{align}

Now, since

bn\to+infty

as

n\toinfty

, there is an

n0>0

such that

bn>0

for all

n>n0

, and we can divide the two inequalities by

bn

for all

n>max\{\nu,n0\}

(l-\epsilon/2)+a\nu+1-b\nu+1(l-\epsilon/2)<
bn
an<(l+\epsilon/2)+
bn
a\nu+1-b\nu+1(l+\epsilon/2)
bn

.

The two sequences (which are only defined for

n>n0

as there could be an

N\leqn0

such that

bN=0

)
\pm
c
n:=a\nu+1-b\nu+1(l\pm\epsilon/2)
bn
are infinitesimal since

bn\to+infty

and the numerator is a constant number, hence for all

\epsilon/2>0

there exists

n\pm>n0>0

, such that
+
\begin{align} &|c
n|<\epsilon/2,\forall

n>

-
n
n|<\epsilon/2,\forall

n>n-, \end{align}

therefore

l-\epsilon<

-
l-\epsilon/2+c
n

<

an
bn

<

+
l+\epsilon/2+c
n<l+\epsilon,\forall

n>max\lbrace\nu,n\pm\rbrace=:N>0,

which concludes the proof. The case with

(bn)

strictly decreasing and divergent to

-infty

, and

l<infty

is similar.

Case 2: we assume

(bn)

strictly increasing and divergent to

+infty

, and

l=+infty

. Proceeding as before, for all

2M>0

there exists

\nu>0

such that for all

n>\nu

an+1-an
bn+1-bn

>2M.

Again, by applying the above inequality to each of the terms inside the square brackets we obtain

an>2M(bn-b\nu+1)+a\nu+1,\foralln>\nu,

and
an
bn

>2M+

a\nu+1-2Mb\nu+1
bn

,\foralln>max\{\nu,n0\}.

The sequence

(cn)

n>n0
defined by

cn:=

a\nu+1-2Mb\nu+1
bn
is infinitesimal, thus

\forallM>0\exists\bar{n}>n0>0suchthat-M<cn<M,\foralln>\bar{n},

combining this inequality with the previous one we conclude
an
bn

>2M+cn>M,\foralln>max\{\nu,\bar{n}\}=:N.

The proofs of the other cases with

(bn)

strictly increasing or decreasing and approaching

+infty

or

-infty

respectively and

l=\pminfty

all proceed in this same way.

Proof of the theorem for the case

Case 1: we first consider the case with

l<infty

and

(bn)

strictly decreasing. This time, for each

\nu>0

, we can write

an=(an-an+1)+...+(an+\nu-1-an+\nu)+an+\nu,

and for any

\epsilon/2>0,

\existn0

such that for all

n>n0

we have

\begin{align} &(l-\epsilon/2)(bn-bn+\nu)+an+\nu=(l-\epsilon/2)[(bn-bn+1)+...+(bn+\nu-1-bn+\nu)]+an+\nu<an\\ &an<(l+\epsilon/2)[(bn-bn+1)+...+(bn+\nu-1-bn+\nu)]+an+\nu=(l+\epsilon/2)(bn-bn+\nu)+an+\nu.\end{align}

The two sequences
\pm
c
\nu

:=

an+\nu-bn+\nu(l\pm\epsilon/2)
bn
are infinitesimal since by hypothesis

an+\nu,bn+\nu\to0

as

\nu\toinfty

, thus for all

\epsilon/2>0

there are

\nu\pm>0

such that
+
\begin{align} &|c
\nu|

<\epsilon/2,\forall

-
\nu>\nu
\nu|

<\epsilon/2,\forall\nu>\nu-, \end{align}

thus, choosing

\nu

appropriately (which is to say, taking the limit with respect to

\nu

) we obtain

l-\epsilon<

-
l-\epsilon/2+c
\nu

<

an
bn

<

+
l+\epsilon/2+c
\nu

<l+\epsilon,\foralln>n0

which concludes the proof.

Case 2: we assume

l=+infty

and

(bn)

strictly decreasing. For all

2M>0

there exists

n0>0

such that for all

n>n0,

an+1-an
bn+1-bn

>2M\impliesan-an+1>2M(bn-bn+1).

Therefore, for each

\nu>0,

an
bn

>2M+

an+\nu-2Mbn+\nu
bn

,\foralln>n0.

The sequence

c\nu:=

an+\nu-2Mbn+\nu
bn
converges to

0

(keeping

n

fixed). Hence

\forallM>0~\exists\bar{\nu}>0

such that

-M<c\nu<M,\forall\nu>\bar{\nu},

and, choosing

\nu

conveniently, we conclude the proof
an
bn

>2M+c\nu>M,\foralln>n0.

Applications and examples

The theorem concerning the case has a few notable consequences which are useful in the computation of limits.

Arithmetic mean

Let

(xn)

be a sequence of real numbers which converges to

l

, define

an:=\sum

nx
m=x

1+...+xn,bn:=n

then

(bn)

is strictly increasing and diverges to

+infty

. We compute

\limn\toinfty

an+1-an
bn+1-bn

=\limn\toinftyxn+1=\limn\toinftyxn=l

therefore

\limn\toinfty

x1+...+xn
n

=\limn\toinftyxn.

Given any sequence

(xn)n\geq

of real numbers, suppose that

\limn\toinftyxn

exists (finite or infinite), then

\limn\toinfty

x1+...+xn
n

=\limn\toinftyxn.

Geometric mean

Let

(xn)

be a sequence of positive real numbers converging to

l

and define

an:=log(x1 … xn),bn:=n,

again we compute

\limn\toinfty

an+1-an
bn+1-bn

=\limn\toinftylog(

x1 … xn+1
x1 … xn

)=\limn\toinftylog(xn+1)=\limn\toinftylog(xn)=log(l),

where we used the fact that the logarithm is continuous. Thus

\limn\toinfty

log(x1 … xn)
n

=\limn\toinftylog((x1 …

1
n
x
n)

)=log(l),

since the logarithm is both continuous and injective we can conclude that

\limn\toinfty\sqrt[n]{x1 … xn}=\limn\toinftyxn

.
Given any sequence

(xn)n\geq

of (strictly) positive real numbers, suppose that

\limn\toinftyxn

exists (finite or infinite), then

\limn\toinfty\sqrt[n]{x1 … xn}=\limn\toinftyxn.

Suppose we are given a sequence

(yn)n\geq1

and we are asked to compute

\limn\toinfty\sqrt[n]{yn},

defining

y0=1

and

xn=yn/yn-1

we obtain

\limn\toinfty\sqrt[n]{x1...xn}=\limn\toinfty\sqrt[n]{

y1...yn
y0 ⋅ y1...yn-1
}=\lim_\sqrt[n],if we apply the property above

\limn\toinfty\sqrt[n]{yn}=\limn\toinftyxn=\limn\toinfty

yn
yn-1

.

This last form is usually the most useful to compute limits
Given any sequence

(yn)n\geq

of (strictly) positive real numbers, suppose that

\limn\toinfty

yn+1
yn
exists (finite or infinite), then

\limn\toinfty\sqrt[n]{yn}=\limn\toinfty

yn+1
yn

.

Examples

Example 1

\limn\toinfty\sqrt[n]{n}=\limn\toinfty

n+1
n

=1.

Example 2

\begin{align} \limn\toinfty

\sqrt[n]{n!
}&=\lim_ \frac\\&=\lim_\frac=\lim_\frac=\frac\endwhere we used the representation of

e

as the limit of a sequence.

History

The ∞/∞ case is stated and proved on pages 173—175 of Stolz's 1885 book and also on page 54 of Cesàro's 1888 article.

It appears as Problem 70 in Pólya and Szegő (1925).

The general form

Statement

The general form of the Stolz–Cesàro theorem is the following:[2] If

(an)n\geq

and

(bn)n\geq

are two sequences such that

(bn)n

is monotone and unbounded, then:

\liminfn\toinfty

an+1-an
bn+1-bn

\leq\liminfn\toinfty

an
bn

\leq\limsupn\toinfty

an
bn

\leq\limsupn\toinfty

an+1-an
bn+1-bn

.

Proof

Instead of proving the previous statement, we shall prove a slightly different one; first we introduce a notation: let

(an)n\geq1

be any sequence, its partial sum will be denoted by

An:=\sum

na
m
. The equivalent statement we shall prove is:
Let

(an)n\geq1,(bn)\geq1

be any two sequences of real numbers such that

bn>0,\foralln\in{Z

}_,

\limn\toinftyBn=+infty

,then

\liminfn\toinfty

an
bn

\leq\liminfn\toinfty

An
Bn

\leq\limsupn\toinfty

An
Bn

\leq\limsupn\toinfty

an
bn

.

Proof of the equivalent statement

First we notice that:

\liminfn\toinfty

An
Bn

\leq\limsupn\toinfty

An
Bn
holds by definition of limit superior and limit inferior;

\liminfn\toinfty

an
bn

\leq\liminfn\toinfty

An
Bn
holds if and only if

\limsupn\toinfty

An
Bn

\leq\limsupn\toinfty

an
bn
because

\liminfn\toinftyxn=-\limsupn\toinfty(-xn)

for any sequence

(xn)n\geq1

.Therefore we need only to show that

\limsupn\toinfty

An
Bn

\leq\limsupn\toinfty

an
bn
. If

L:=\limsupn\toinfty

an
bn

=+infty

there is nothing to prove, hence we can assume

L<+infty

(it can be either finite or

-infty

). By definition of

\limsup

, for all

l>L

there is a natural number

\nu>0

such that
an
bn

<l,\foralln>\nu.

We can use this inequality so as to write

An=A\nu+a\nu+...+an<A\nu+l(Bn-B\nu),\foralln>\nu,

Because

bn>0

, we also have

Bn>0

and we can divide by

Bn

to get
An
Bn

<

A\nu-lB\nu
Bn

+l,\foralln>\nu.

Since

Bn\to+infty

as

n\to+infty

, the sequence
A\nu-lB\nu
Bn

\to0asn\to+infty(keeping\nufixed),

and we obtain

\limsupn\toinfty

An
Bn

\lel,\foralll>L,

By definition of least upper bound, this precisely means that

\limsupn\toinfty

An
Bn

\leqL=\limsupn\toinfty

an
bn

,

and we are done.

Proof of the original statement

Now, take

(an),(bn)

as in the statement of the general form of the Stolz-Cesàro theorem and define

\alpha1=a1,\alphak=ak-ak-1,\forallk>1   \beta1=b1,\betak=bk-bk-1\forallk>1

since

(bn)

is strictly monotone (we can assume strictly increasing for example),

\betan>0

for all

n

and since

bn\to+infty

also

\Betan=b1+(b2-b1)+...+(bn-bn-1)=bn\to+infty

, thus we can apply the theorem we have just proved to

(\alphan),(\betan)

(and their partial sums

(\Alphan),(\Betan)

)

\limsupn\toinfty

an
bn

=\limsupn\toinfty

\Alphan
\Betan

\leq\limsupn\toinfty

\alphan
\betan

=\limsupn\toinfty

an-an-1
bn-bn-1

,

which is exactly what we wanted to prove.

References

External links

Notes

  1. Book: Choudary, A. D. R.. Real Analysis on Intervals. Niculescu. Constantin. 2014. Springer India. 978-81-322-2147-0. 59-60. en.
  2. http://www.imomath.com/index.php?options=686 l'Hôpital's rule and Stolz-Cesàro theorem at imomath.com