The Scientific World Journal

Volume 2014, Article ID 174716, 17 pages

http://dx.doi.org/10.1155/2014/174716

## The Trigonometric Polynomial Like Bernstein Polynomial

School of Mathematics and Statistics, Central South University, Changsha 410083, China

Received 7 May 2014; Revised 6 August 2014; Accepted 6 August 2014; Published 27 August 2014

Academic Editor: Predrag S. Stanimirovic

Copyright © 2014 Xuli Han. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

#### Abstract

A symmetric basis of trigonometric polynomial space is presented. Based on the basis, symmetric trigonometric polynomial approximants like Bernstein polynomials are constructed. Two kinds of nodes are given to show that the trigonometric polynomial sequence is uniformly convergent. The convergence of the derivative of the trigonometric polynomials is shown. Trigonometric quasi-interpolants of reproducing one degree of trigonometric polynomials are constructed. Some interesting properties of the trigonometric polynomials are given.

#### 1. Introduction

A century ago Bernstein [1] introduced his famous polynomials by defining where is a function defined on the interval and is a positive integer. As Bernstein proved, if is continuous on the interval then its sequence of Bernstein polynomials converges uniformly to on . Thus Bernstein polynomials are important because a constructive proof of Weierstrass' theorem is given. Later, because the Bernstein polynomials are shape preserving, they were found to have practical applications. Many generalizations of them have been proposed. Very fine brief accounts of the Bernstein polynomials are given in Davis [2] and Phillips [3].

However, there are few results on the constructive proof of trigonometric polynomial sequence approximating continuous function. Some authors are interested in the problem of constructing nonnegative trigonometric polynomials (see [4–6]). Trigonometric interpolation has been considered by Salzer [7] and Henrici [8]. Several other authors have addressed Hermite problems, even for arbitrary points. They were mostly interested in existence questions [9], convergence results, and formulae other than Lagrange's (see [10–13]). Quasi-interpolant on trigonometric splines has been discussed in [14]. In [15], authors approximate continuous functions defined on a compact set by trigonometric polynomials. Some problems of geometric modeling are solved better by trigonometric splines. Some types of trigonometric splines have been introduced having different features (see [16–19]). One may use the cosine polynomial sequence to approximate a continuous function, but this sequence is not a basis of the trigonometric polynomial space of order .

The purpose of this paper is to construct an explicit sequence of trigonometric polynomials like Bernstein polynomials. Thus, trigonometric polynomials may be used like Bernstein polynomials. It is well known that Bernstein polynomials have many applications and are appropriate for numerical computation. New trigonometric polynomials like Bernstein polynomials provide different expressions for function approximation. We will present a symmetric trigonometric polynomial basis of order and show how it works. Although one can construct trigonometric polynomials via simple ways, via trigonometric kernels, for example, we will construct simpler and more evident trigonometric polynomial which converges uniformly to a continuous function defined on the interval . The problem of reproducing one degree of trigonometric polynomials by trigonometric quasi-interpolants is also solved.

The remainder of this paper is organized as follows. In Section 2, the basis functions of the trigonometric polynomial space are presented and the properties of the basis functions are shown. In Section 3, a sequence of trigonometric polynomials is described and its convergence is discussed. Trigonometric quasi-interpolants of reproducing one degree of trigonometric polynomials are given in Section 4.

#### 2. Trigonometric Basis Functions

*Definition 1. *For , , let , , ; one defines trigonometric polynomials of degree as follows:
where

We choose domain in Definition 1 so that and are monotone, and is convex. From (3) and (4), we can obtain the coefficients of the trigonometric polynomials as Table 1.

*Property 2. *Linear independence property: the set of the trigonometric polynomials is linearly independent on .

*Proof. *Consider the trigonometric polynomial space
we know that
and then

On the other hand,
and ; we have
Hence,
Since the set of the trigonometric polynomials is linearly independent, we conclude that the set of the trigonometric polynomials is linearly independent on .

The set of the trigonometric polynomials forms a basis for the trigonometric polynomial space . We refer to the trigonometric functions as trigonometric basis functions.

Figure 1 shows the graphs of trigonometric basis functions with on the left and with on the right.

Now we show that trigonometric sequence has different properties than the sequence . Some important properties of the following are useful in the interest of constructing trigonometric polynomial approximants.

*Property 3. *Positivity of the basis functions: if , then , .

*Proof. *From (3) and (4), it is easy to see that for all possible . Since , it follows that .

*Property 4. *Partition of unity for the basis functions: for all , we have

*Proof. *Obviously,
We assume that the formula is true for . Since for or , from (2), (4), and we have
This is (11) with replaced by ; the proof is complete.

*Property 5. *Symmetry of the basis functions: for , we have

*Proof. *Obviously, . Assume ; from (4) we have
for . These imply that the coefficients of are symmetric. Thus, for , we have

Based on Property 5, we refer to the basis functions as symmetric trigonometric basis functions.

*Property 6. *Recurrence relation of the basis functions: for and , we have
where .

*Proof. *From (2) and (4), for , we have
For , we have

*Property 7. *Degree elevation: for all , we have
for ,
for .

*Proof. *For , by (2) we have
From this we obtain (20). In the same way, we have (21).

*Property 8. *Derivative of the basis functions: for , we have
For , we have

*Proof. *For , we have
This implies the case of (23). For , we have
This implies the cases of (23). In the same way, we can obtain the results on the other cases.

*Property 9. *Maximum values: for , obtains its maximum value at

*Proof. *Directly derivation computing to (2), we have
for , and
for . Since , we obtain
for , and
for . Let ; we have and then
From this we obtain (28).

In the proof of Property 5, we have shown that the coefficients of the trigonometric basis functions are symmetric. Now we give further properties of the coefficients of the trigonometric basis functions.

*Property 10. *Explicit formula: for the coefficients of the trigonometric basis functions given by (4), we have

*Proof. *Since , , , (34) holds for and obviously. We assume that the formula (34) is true for , ; then
By (4), for even numbers , we have
For odd numbers , we have
By induction, the proof is complete.

*Property 11. *Recurrence relation of the coefficients: for the coefficients of the trigonometric basis functions given by (4), we have

*Proof. *For , by the symmetry of the coefficients shown in the proof of Property 4, we can obtain (39) from (38). Therefore, we consider only the cases . By (4), we have , . When is an odd number, we have
When is an even number, analogously, we have

By Property 10 or Property 11, we have and so on.

*Property 12. *Positivity of the coefficients: for ,

*Proof. *Obviously, (43) holds when . For , by (38) we have
Then, for ,
These equalities also hold for . When ,
By induction and symmetry, (43) holds.

#### 3. Symmetric Trigonometric Polynomials

##### 3.1. The Construction of the Trigonometric Polynomials

We will discuss trigonometric polynomial approximation on the special interval because the change of variable can be used to go back and forth between and .

*Definition 13. *Given nodes , and function values , we define trigonometric polynomials as follows:

Since the symmetry of the Trigonometric basis functions, we call (47) as symmetric trigonometric polynomials.

Obviously, is a linear operator. Based on Property 3, another property of these operator is that they are positive. This implies that if , then .

For computing conveniently, we can choose nodes . On the convergence of , two kinds of the nodes will be discussed. One kind of the nodes is , , and for . Another kind of the nodes is , , , and for , where

We can also rewrite

By Property 11, expression (48) can be changed to and (49) can be changed to for . By Property 12, we have Therefore, for , it is easy to show that the node sequences (48) and (49) are monotonely increasing, respectively. In the following section, we can see that for (48) or (49).

*Example 14. *Let us consider the function as follows:
Figure 2 shows the approximation curves of this function. On the left of Figure 2, the functional curve (dotted line), the quadratic trigonometric curve (solid line), the quartic Bernstein polynomial curve (dashed line), and the quartic trigonometric curve (dashdot line) are shown with equidistant nodes, respectively. On the right of Figure 2, the functional curve (dotted line), the quadratic trigonometric curve (solid line), the cubic trigonometric curve (dashed line), and the quartic trigonometric curve (dashdot line) are shown with node expression (48), respectively.

*Example 15. *Let us consider the function as follows:
Figure 3 shows the approximation curves of this function. On the left of Figure 3, the functional curve (dotted line), the quadratic trigonometric curve (solid line), the quartic Bernstein polynomial curve (dashed line), and the quartic trigonometric curve (dashdot line) are shown with equidistant nodes, respectively. On the right of Figure 3, the functional curve (dotted line), the quadratic trigonometric curve (solid line), the cubic trigonometric curve (dashed line), and the quartic trigonometric curve (dashdot line) are shown with node expression (48), respectively.

##### 3.2. The Convergence of the Trigonometric Polynomials

The following theorem will be used repeatedly for the proof of the convergence of the trigonometric polynomials.

Theorem 16. *For the coefficients of trigonometric basis functions, one has
*

*Proof. *Obviously, (57) holds for . For , by (38),
we obtain
Then, by (44),
Since
we have
From this we obtain (57).

Let ; we have
and then, by recursion,

From (54) we have

Obviously, , ; thus we can deduce that and then is a monotone bounded sequence. Therefore, exists. From (64) we obtain
and then

From the proof of Theorem 16, we can see . From this and (54), it is easy to show for (48) or (49).

Property 4 implies that . In order to show the convergence of trigonometric polynomials , we need to discuss and .

By , we have

The node expression (48) is set in the light of (69).

Theorem 17. *For the node expression (48), and converge uniformly to and , respectively, for .*

*Proof. *By (54) we have and then . From this we have
Therefore,
and then
In the same way, we have