Research Article  Open Access
Xuli Han, "The Trigonometric Polynomial Like Bernstein Polynomial", The Scientific World Journal, vol. 2014, Article ID 174716, 17 pages, 2014. https://doi.org/10.1155/2014/174716
The Trigonometric Polynomial Like Bernstein Polynomial
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 quasiinterpolants 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 [4â€“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 [10â€“13]). Quasiinterpolant 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 [16â€“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 quasiinterpolants 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 quasiinterpolants 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,