Department of Mathematics, K.N.Toosi University of Technology, P.O. Box 16315-1618, Tehran, Iran
The results of the recent published paper by Masjed-Jamei et al. (2009) are extended to a
larger class and some of subclasses are studied in the sequel. In other words, we generalize the
well known Cauchy-Schwarz and Cauchy-Bunyakovsky inequalities having eight free
parameters and then introduce some of their interesting subclasses.
1. Introduction
Let and be two sequences of real, numbers. It is well known that the discrete version of the Cauchy-Schwarz inequality [1, 2] can be stated as
while its continuous version in the space of real-valued functions , that is, the Cauchy-Bunyakovsky inequality [1, 2], can be represented as
To date, a large number of generalizations and refinements of inequalities (1.1) and (1.2) have been investigated in the literature (e.g., [3–6]). In this sense, recently in [7] a generalization of the Cauchy-Bunyakovsky-Schwarz inequality with four free parameters has been presented as follows.
Theorem 1.1. If and are two sequences of real numbers and belong to a subset of , then we have
in which
The inequality (1.3) generalizes the Cauchy-Schwarz inequality for and the equality holds if and for each .
Moreover, if are two integrable functions on and belong to a subset of , then the continuous version of inequality (1.3) reads as
in which
The inequality (1.5) generalizes the Cauchy-Bunyakovsky inequality for and the equality holds if and for each .
The main aim of this paper is to generalize the abovementioned theorem by means of eight free parameters and then study some of its particular cases of interest.
Theorem 1.2. Let and be two sequences of real numbers and belong to a subset of . Then the following inequality holds
in which
Moreover, the equality in (1.7) holds if for which is equivalent to .
Proof. The proof of this theorem is straightforward if one defines a positive quadratic polynomial as
in which and are real numbers and belong to a subset of . Because a simple calculation first reveals that
therefore, for any , the discriminant of must be negative, that is,
On the other hand, the elements of can eventually be simplified as follows:
where are the same values as given in (1.8).
Hence, replacing the results (1.12) into (1.11) proves the first part of Theorem 1.2. The proof of second part is also clear.
Similarly, one can consider the continuous analogue of Theorem 1.2 as follows.
Theorem 1.3. Let be two integrable functions on and belong to a subset of . Then, the following inequality holds
in which
so that . Moreover, the equality in (1.13) holds if for , which is equivalent to .
Proof. The proof of this theorem is clearly similar to Theorem 1.2 if a positive quadratic polynomial is defined as
and then other items are followed accordingly.
2. Some Special Cases and a Unified Approach
As we observe in Theorems 1.2 and 1.3, there exist various subclasses of inequalities (1.7) and (1.13). In this section, we consider two of them. Naturally other cases can be studied separately.
2.1. Special Case 1: Theorem 1.1, Inequalities (1.3) and (1.5)
For example, one can conclude that inequality (1.3) is a special case of inequality (1.7) for
where are the same values as given in (1.8). Hence, after solving the above system, one finally gets
This means that replacing (2.2) in (1.7) gives the same as inequality (1.3).
2.2. Special Case 2: A Generalization of Pre-Grüss and Wagner Inequalities
It is clear that for
we obtain the following inequality:
Now, this inequality is a generalization of Pre-Grüss inequality [2] for and is a generalization of Wagner inequality [1, 8] for and .
As we said, many special cases of inequalities (1.7) and (1.13) could be considered independently. Hence, it is necessary that one classifies them by means of a unified approach. For this purpose, let us reconsider two specific matrices and defined by (1.8) and (1.14). It is clear that both matrices can directly determine all elements of inequalities (1.7) and (1.13), respectively. As a sample, substituting the arbitrary and random vector
in the general matrix gives
Therefore, the inequality corresponding to (1.7) takes the form
Conversely, for instance the given inequality (1.5) has a characteristic matrix as