1. Introduction
For Lebesgue integrable functions
we consider the
complex Čebyšev functionalFor two integrable real-valued functions
, in order to compare the integral mean of the product with the product of the integral means, in 1934, G. Grüss [
1] showed that
provided
N are real numbers with the property that
The constant
is most possible in (
1) in the sense that it cannot be replaced by a smaller one. For other results, see [
2,
3,
4,
5,
6,
7].
To extend this symmetric inequality for complex-valued functions we need the following preparations.
For
and
an interval of real numbers, define the sets of complex-valued functions (see [
4,
8,
9])
and
For any
,
we have that
and
are nonempty, convex and closed sets and
We observe that for any
we have the equivalence
if and only if
This follows from the equality
that holds for any
.
The equality (
3) is thus a simple consequence of this fact.
For any
,
we also have that
Now, if we assume that
and
then we can define the following set of functions as well:
One can easily observe that
is closed, convex and
This fact provides also numerous example of complex functions belonging to the class
In [
4] we obtained the following complex version of Grüss’ inequality:
provided
and
where
denotes the complex conjugate function of
We denote
the variance of the complex-valued function
by
and defined as
where
denotes the complex conjugate function of
If we apply the inequality (
7) for
then we obtain
We observe that, if
then
for a.e.
that is equivalent to
meaning that
and by (
7), for
instead of
g we also have
provided
and
We can also consider the following quantity associated with a complex-valued function
,
For an integrable function
, consider the
mean deviation of
f defined by
The following result holds (see [
10] or the more extensive preprint version [
11]).
Theorem 1. Let be of bounded variation on and a Lebesgue integrable function on Thenwhere denotes the total variation of f on the interval The constant is best possible in (11). Corollary 1. If are of bounded variation on then The constant is best possible in (12). We also haveand the constant is best possible in (13). Using the above results we can state, for a function of bounded variation
, that
In the recent paper [
12] we obtained the following result that extends to complex functions the inequalities obtained in [
13]:
Theorem 2. Let be measurable on Then An important corollary of this result is:
Corollary 2. Assume that is measurable on and for some distinct complex numbers Thenif This generalizes the following result obtained by Cheng and Sun [
14] by a more complicated technique
provided
for a.e.
The constant
is best in (
18) as shown by Cerone and Dragomir in [
15] where a general version for Lebesgue integral and measurable spaces was also given.
Motivated by the above results, in this paper we establish other bounds for the absolute value of the Čebyšev functional when the complex-valued functions are of bounded variation. Applications to the trapezoid and mid-point inequalities are also provided.
2. Main Results
We have the following inequality for the complex Čebyšev functional that extends naturally the real case:
Theorem 3. If are Lebesgue integrable on thenand Proof. As in the real case, we have
Korkine’s identity
that can be proved directly by doing the calculations in the right hand side.
By the properties of modulus, we have
for any
Using the properties of the integral versus the modulus, we also have
Using the Cauchy-Bunyakovsky-Schwarz integral inequality, we have
and since
and a similar equality for
g, hence we obtain from (
21) and (
22) the desired result (
19).
The inequality (
20) follows from (
19). □
For a function of bounded variation we define the Cumulative Variation Function (CVF) of f by where , the total variation of f on the interval with
It is know that the CVF is monotonic nondecreasing on
and is continuous in a point
if and only if the generating function
f is continuous in that point. If
f is
Lipschitzian with the constant
i.e.,
then
is also Lipschitzian with the same constant.
Theorem 4. Let be Lebesgue measurable on
(i) If f is of bounded variation and g is Lebesgue integrable on then (ii) If f and g are of bounded variation on then (iii) If f is Lipschitzian with the constant and g is of bounded variation on thenwhere ℓ is the identity mapping of the interval namely Proof. (i) If
f is of bounded variation then for
we have
If
then also
Therefore
for any
Using the Cauchy-Bunyakovsky-Schwarz integral inequality, we have
Using the inequality (
21) and (
26) we obtain the desired result (
23).
(ii) If
f and
g are of bounded variation on
then for any
we have
since
and
are monotonic nondecreasing on
Using the inequality (
21) and (
27) we obtain the desired result (
24).
(iii) If
f is Lipschitzian with the constant
and
g is of bounded variation on
then
since
is monotonic nondecreasing on
Using the inequality (
21) and (
28) we obtain the desired result (
25). □
In 1970, A. M. Ostrowski [
16] proved among other things the following result, which is somehow a mixture of the Čebyšev and Grüss results
provided
f is Lebesgue integrable on
and satisfying (
2) while
is absolutely continuous and
Here the constant
is also sharp.
The following lemma for real-valued functions holds [
17].
Lemma 1. Let be an integrable function on such that Then we have the inequality The constants and are sharp in the sense that they cannot be replaced by smaller constants.
When one function is complex-valued, we can state the following refinement and extension of Ostrowski’s inequality (
29). This extends the corresponding result from [
17] in which both functions are real-valued.
Theorem 5. Let be measurable and such that there exist the constants with If is absolutely continuous on with then we have the inequality The constants and are sharp in the above sense.
Proof. Integrating by parts, we have
Taking the modulus, we have
The sharpness of the constants follows from the real-valued case outlined in [
17]. □
3. Some Examples
Assume that the function
is of bounded variation on
Since the function
is monotonic nondecreasing on
, then
for any
and by (
8) we have
Using (
23) we have
for any
g Lebesgue integrable function on
If
for some distinct complex numbers
then by (
34) we have
If
f and
g are of bounded variation on
then
and
are monotonic nondecreasing on
and by (
12) we have
Using the inequality (
24) we then have
If
f and
g are of bounded variation on
then by (
15) we have
Using the inequality (
24) we then have
From (
39) we obtain in particular
Now, we observe that for
where
ℓ is the identity mapping of the interval
namely
we have
Then we have by (
18) that
Therefore, if
f is Lipschitzian with the constant
and
g is of bounded variation on
then by (
25) and (
41) we have
From (
33) for
and
we have
and
and
provided that
is of bounded variation on
Therefore, if
f is Lipschitzian with the constant
and
g is of bounded variation on
then by (
25) and (
43) we have
This is an improvement of the inequality (
42) above.
It is known that, if
is absolutely continuous on
then [
18] (Theorem 16),
is absolutely continuous and
for any
Moreover,
for a.e.
Assume that
is absolutely continuous with
and
is of bounded variation. From (
33) for
we have
Using (
24) we then have
provided that
is absolutely continuous with
and
is of bounded variation on
4. Applications to Trapezoid Inequality
Let
be an absolutely continuous function on
. Then we have the
trapezoid equality
for any
. This is obvious integrating by parts in the right hand side of the equality.
Using the inequality (
12) for
and
we obtain
Since
then by (
47) and (
48) we obtain
provided that
is of bounded variation and
.
If
for some complex numbers
, then by (
49) we obtain
provided
h satisfies the condition (
50). We observe that, a sufficient condition for the condition (
50) to hold is that
h is twice differentiable on
and
Using the inequality (
12) for
and
we obtain
Since
and
then by (
52) and (
47) we obtain
provided
is an absolutely continuous function on
If we use the inequality (
16) for
with
for some distinct complex numbers
and
then
Using (
47) we then obtain
provided
is an absolutely continuous function on
and there exist the distinct complex numbers
such that
For
we have
If we use the inequality (
44) for
and
we obtain
namely
provided
is Lipschitzian with the constant
If we use (
47) and (
56), we obtain
provided
is Lipschitzian with the constant
5. Applications to Mid-Point Inequality
Let
be an absolutely continuous function on
. Then we have the
mid-point equality
for any
, where the kernel
is given by
This is obvious integrating by parts in the right hand side of the equality.
Using the inequality (
12) for
and
we obtain
Since
then by (
57) and (
59) we obtain
provided that
is of bounded variation and
.
If
h satisfies the condition (
50) for some complex numbers
, then by (
60) we obtain
provided
h satisfies the condition (
50). We observe that, a sufficient condition for the condition (
50) to hold is that
h is twice differentiable on
and
Using the inequality (
12) for
and
we obtain
Since
and
then by (
57) and (
62) we obtain
provided
is an absolutely continuous function on
If we use the inequality (
16) for
with
for some distinct complex numbers
and
then
By (
57) and (
64) we obtain
provided that
is an absolutely continuous function on
and
for some distinct complex numbers
.
The kernel
p defined by (
58) is of bounded variation and we have for
that
and for
therefore, for any
we have
We observe that, this is an example of a function of bounded variation for the CVF is differentiable for every
.
Now, if we take
and
and use the inequality (
24), then we obtain
Using the inequality (
33) we also have
Then by (
57) and (
66) we obtain
for any
, where
is an absolutely continuous function on
and the derivative is of bounded variation. This is a refinement of (
60).