Open Access

# A Version of Hilbert's 13th Problem for Infinitely Differentiable Functions

Fixed Point Theory and Applications20102010:287647

DOI: 10.1155/2010/287647

Accepted: 4 March 2010

Published: 14 March 2010

## Abstract

In 1957, Kolmogorov and Arnold gave a solution to the 13th problem which had been formulated by Hilbert in 1900. Actually, it is known that there exist many open problems which can be derived from the original problem. From the function-theoretic point of view, Hilbert's 13th problem can be exactly characterized as the superposition representability problem for continuous functions of several variables. In this paper, the solution to the superposition representability problem for infinitely differentiable functions of several variables is given.

## 1. Superposition Representability and Superposition Irrepresentability

In 1957, Kolmogorov and Arnold [1] solved Hilbert's 13th problem asking if all continuous real-valued functions of several real variables can be represented as superpositions of continuous functions of fewer variables. Moreover, in 1964, Vitushkin [2] solved the problem, which had been derived from Hilbert's 13th problem, asking if all finitely differentiable real-valued functions of several real variables can be represented as superpositions of finitely differentiable functions of fewer variables. In this paper, the solution to the superposition representability problem for infinitely differentiable functions of several variables is given.

Let (resp., ) be a set of functions of three variables (resp., two variables) satisfying the condition such as continuity or differentiability. Then, the superposition representability can be classified into the following two concepts.

Strong representabity: there exists a positive integer satisfying that, for any function of , can be represented as a -time nested superposition constructed from functions of .

Weak representability: for any function of , there exists a positive integer such that can be represented as a -time nested superposition constructed from several functions of .

Here, for a certain condition , is said to be strongly (resp., weakly) representable, if strong (resp., weak) representability under the condition holds. It is clear that is weakly representable, if is strongly representable. By the same way as above, the superposition irrepresentability can be also classified into the following two concepts.

Strong irrepresentability: there exists a function of which cannot be represented as any finite-time nested superposition constructed from several functions of .

Weak irrepresentability: for any positive integer , there exists a function of which cannot be represented as any -time nested superposition constructed from several functions of .

Here, for a certain condition , is said to be strongly (resp., weakly) irrepresentable, if strong (resp., weak) irrepresentability under the condition holds. It is clear that is weakly irrepresentable, if is strongly irrepresentable. Moreover, it is also clear that is weakly irrepresentable (resp., representable), if is not strongly representable (resp., irrepresentable). Therefore, we can classify a condition such as continuity or differentiability into three cases.

Case 1.

The case that is strongly representable.

Case 2.

The case that is not only weakly representable but also weakly irrepresentable.

Case 3.

The case that is strongly irrepresentable.

For example, if we take continuity as an example of , then owing to Kolmogorov and Arnold, we can say that continuity satisfies Case 1. As for the proof, we refer to [1, 3]. Moreover, if we take analyticity as an example of , then, owing to Babenko, Erohin, and Akashi, we can say that analyticity satisfies Case 3. As for the proof, we refer to [47]. If we take finite differentiability as an example of , then, owing to Vituskin, we can say that finite differentiability satisfies Case 3. As for the proof, we refer to [2]. It is clear that polynomial condition satisfies Case 2. In the following section, this result will be formulated as a generalized relation between polynomial condition and infinite differentiability condition.

Recently, it is discussed that Hilbert's 13th problem can be applied to the theory of multidimensional numerical data compression. Since the results stated above show that it is important for any functions of three variables to find the appropriate superpositions which can approximate most efficiently to the original function. Therefore, nonlinear theoretic approximation methods will play important roles in the theory of multidimensional numerical data compression. As for the nonlinear theoretic approximation methods, we can refer to Takahashi's results [8].

## 2. Weak Irrepresentability of Polynomial Condition

In this section, we prove that polynomial condition is weakly irrepresentable.

Lemma 2.1.

For any positive integer , there exists a polynomial which cannot be represented as any -time nested superposition constructed from several infinitely differentiable functions of two variables on .

Proof.

Let , and be three nonnegative integers. Then, for any infinitely differentiable functions and , we define and as
(2.1)
respectively. Here, assume that there exists a positive integer satisfying that all the polynomials can be represented as -time nested superpositions. Then, the total number of infinitely differentiable functions of two variables, from which we use to construct the -time nested superposition, is less than or equal to . Let be a polynomial of three variables and is a family of infinitely differentiable functions of two variables from which we use to construct the -time nested superposition of . For any positive integer which is less than or equal to and for any nonnegative integer , we have
(2.2)
Since Taylor's expansion theorem assures that, for any nonnegative integer , can be exactly characterized as , we have
(2.3)
This implies that, for any positive integer , the following inequality holds:
(2.4)

Remark 2.2.

This lemma shows that polynomial condition satisfies Case 2, because this condition is also weakly representable.

## 3. Strong Irrepresentability of Infinite Differentiability Condition

In this section, we prove that infinite differentiability condition is strongly irrepresentable.

Theorem 3.1.

There exists an infinitely differentiable function defined on with values in , which cannot be represented as any superposition constructed from several infinitely differentiable functions defined on with values in .

Proof.

Let be the function on with values in defined as
(3.1)
Then, it can be easily proved that is infinitely differentiable. Moreover, for any positive integer , let and be the functions on with values in defined as
(3.2)
respectively. For any positive integer , Lemma 2.1 assures that there exists a polynomial , which is defined on and cannot be represented as -time nested superposition constructed from several polynomials of two variables. Therefore, it is sufficient that the following function , which is defined as
(3.3)
cannot be represented as any superposition constructed from several infinitely differentiable functions defined on . Here, assume that, for a certain positive integer , can be represented as -time nested superposition. Then, for any positive integer , is also characterized by the following equality:
(3.4)

Actually, this equality shows that, for any positive integer , can be represented as a certain -time nested superposition constructed from several infinitely differentiable functions defined on . Therefore, we have a contradiction.

Remark 3.2.

Theorem 3.1 shows that infinite differentiability condition satisfies Case 3. For any real variables , , , it is clear that can be represented as the following two-time nested superposition:
(3.5)

Actually, if we apply the same method as stated above to this polynomial, it can be proved that cannot be represented as any one-time nested superposition.

## Declarations

### Acknowledgments

The authors would like to express their hearty thanks to the referee who has given several pieces of suggestive advice to make the original manuscript more comprehensible, and they are also so thankful to Professor Anthony To-Ming Lau for having communicated several times with us in the course of reviewing procedure.

## Authors’ Affiliations

(1)
Department of Information Sciences, Faculty of Science and Technology, Tokyo University of Science

## References

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