1. Introduction

We first state the well-known Kantorovich inequality for a positive definite Hermite matrix (see [1, 2]), let be a positive definite Hermite matrix with real eigenvalues . Then

(11)

for any , , where denotes the conjugate transpose of the matrix . An equivalent form of this result is incorporated in

(12)

for any , .

This famous inequality plays an important role in statistics and numerical analysis, for example, in discussions of converging rates and error bounds of solving systems of equations (see [2–4]). Motivated by interests in applied mathematics outlined above, we establish in this paper a new Kantorovich type inequality, the classical Kantorovich inequality is modified to apply not only to positive definite but also to all invertible Hermitian matrices. An elementary proof of this result is also presented.

In the next section, we will state the main theorem and its proof. Before starting, we quickly review some basic definitions and notations. Let be an invertible Hermite matrix with real eigenvalues , and the corresponding orthonormal eigenvectors   with , where denotes 2-norm of the vector of .

For , we define the following transform

(13)

If , then,

(14)

Otherwise, , then,

(15)

where

(16)

2. New Kantorovich Inequality for Hermite Matrices

Theorem 2.1.

Let be an invertible Hermite matrix with real eigenvalues . Then

(21)

for any , , where , , , defined by (1.3), (1.4), (1.5), and (1.6).

To simplify the proof, we first introduce some lemmas.

Lemma 2.2.

With the assumptions in Theorem 2.1, then

(22)

for any , .

Lemma 2.3.

With the assumptions in Theorem 2.1, then

(23)

for any , .

Proof.

Let , then

(24)

while

(25)

The proof about is similar.

Lemma 2.4.

With the assumptions in Theorem 2.1, then

(26)

for any , .

Proof.

Thus,

(27)

The other inequality can be obtained similarly, the proof is completed.

We are now ready to prove the theorem.

Proof.

Thus,

(28)

while

(29)

By the Lemma 2.4, we have

(210)

Similarly, we can get that,

(211)

Therefore,

(212)

From for real numbers , we have

(213)

The proof of Theorem 2.1 is completed.

Remark 2.5.

Let be a positive definite Hermite matrix. From Theorem 2.1, we have

(214)

our result improves the Kantorovich inequality (1.2), so we conclude that Theorem 2.1 gives an improvement of the Kantorovich inequality that applies all invertible Hermite matrices.

Example 2.6.

Let

(215)

The eigenvalues of are: , , by easily calculating, we have

(216)

Therefore,

(217)

we get a sharpen upper bound.

3. Conclusion

In this paper, we introduce a new Kantorovich type inequality for the invertible Hermite matrices. In Theorem 2.1, if , , the result is well-known Kantorovich inequality. Moreover, it holds for negative definite Hermite matrices, even for any invertible Hermite matrix, there exists a similar inequality.