On Some Problems of Harmonic Analysis
B. P. PANEYAKH
Submitted 1962-01-01 | SovietRxiv: ru-196201.43244 | Translated from Russian

Abstract Generated abstract

This note studies determining sets in a Hilbert space of Fourier transforms of square integrable functions supported in a bounded domain, where the problem is to characterize when a norm defined by integration over a measurable subset is equivalent to the usual norm. It introduces a refined set characteristic related to asymptotic density and proves that asymptotic density less than one is necessary in all dimensions and sufficient on the line, giving a complete one dimensional solution. For higher dimensions it establishes a sufficient criterion based on one dimensional sections and determining sets in a coordinate hyperplane. The paper also formulates a variational problem for sets on which the supremum is attained, proving attainability for sets of finite measure and for suitable Cartesian products.

Full Text

MATHEMATICS

B. P. PANEYAKH

ON SOME PROBLEMS OF HARMONIC ANALYSIS

(Presented by Academician P. S. Aleksandrov on 10 X 1961)

In the present note we continue the investigation of some questions of harmonic analysis begun in the author’s paper \((^1)\). Let us briefly recall the statement of the problem and the basic definitions.*

In the space \(\mathcal H\) any set \(M \subset R_\nu\) with \(\mu(M)>0\) makes it possible to define the special norm

\[ \|\hat u(\xi)\|_M=\left(\int_M |\hat u(\xi)|^2\,d\xi\right)^{1/2}, \tag{1} \]

weaker than the usual norm \(\|\cdot\|\). The problem is to find such sets \(M\) that generate a norm \(\|\cdot\|_M\) equivalent to the norm \(\|\cdot\|\). If we denote

\[ \gamma(\mathfrak M)=\sup_{\hat u\in E}\left(\int_{\mathfrak M}|\hat u(\xi)|^2\,d\xi\right)^{1/2}, \tag{2} \]

then this problem is equivalent to describing those sets \(\mathfrak M\) (called determining in \((^1)\)) for which \(\gamma(\mathfrak M)<1\). In \((^1)\), along with a series of sufficient criteria for determining sets, a condition was also formulated that is necessary in order that \(\gamma(\mathfrak M)<1\) hold (Theorem 6). Below it will be shown that in the space \(R_1\) this condition is also sufficient, which completely solves the problem posed in the one-dimensional case. If the number of variables \(\nu \geqslant 2\), then we give a sufficient criterion for a determining set, more general than those given in \((^{1,2})\). At the end of the article a curious variational problem is formulated, and its solution is given in a number of particular cases.

  1. In \((^1)\) the notion of the asymptotic density of a set was introduced:

\[ \beta(\mathfrak M)=\lim_{n\to\infty}\left[\sup_{\xi\in R_\nu}\frac{\mu(\mathfrak M\cap K_n^\xi)}{n^\nu}\right] \tag{3} \]

(here \(K_n^\xi\) is the cube with center at the point \(\xi\in R_\nu\) and edges of length \(n\), parallel to the coordinate axes).** We shall now consider a new characteristic of a set, more delicate than asymptotic density.

Definition 1. To each set \(\mathfrak M\subset R_\nu\) we assign the nonincreasing function

\[ S_{\mathfrak M}(r)=\inf\left\{n:\sup_{\xi\in R_\nu}\mu(\mathfrak M\cap K_n^\xi)\leqslant n^\nu-r\right\}. \]

* We retain the basic notation of \((^1)\). In particular, \(\mathcal H\) denotes the Hilbert space of entire functions \(\hat u(\xi_1,\ldots,\xi_\nu)=F u(x^1,\ldots,x^\nu)\) with norm
\[ \|\hat u(\xi)\|=\left(\int_{R_\nu}|\hat u(\xi)|^2\,d\xi\right)^{1/2}, \]
where \(F\) is the Fourier operator, and \(u(x^1,\ldots,x^\nu)\) is a finite function, square-summable in the bounded domain \(\Omega\). \(E\) is the unit sphere of the space \(\mathcal H\). The sets \(\mathfrak M\) and \(M\) are always regarded as complementary to each other in \(R^\nu\), i.e. \(\mathfrak M\cup M=R_\nu\). \(\mu(\mathcal A)\) is the Lebesgue measure of the set \(\mathcal A\).

** It is easy to show that this limit always exists.

and denote

\[ S(\mathfrak M)=\lim_{r\to +0} S_{\mathfrak M}(r). \tag{4} \]

The following lemma establishes a simple relation between the numbers \(S(\mathfrak M)\) and \(\beta(\mathfrak M)\).

Lemma 1. In order that the inequality \(\beta(\mathfrak M)<1\) hold, it is necessary and sufficient that \(S(\mathfrak M)<\infty\).

Proof is almost obvious. Denote \(\mu(\mathfrak M\cap K_n^\xi)=\psi(n,\xi)\). If \(S(\mathfrak M)<\infty\), then for some \(n_0>S(\mathfrak M)\)
\[ \sup_{\xi\in R_\nu}\psi(n_0,\xi)=n_0^\nu-r,\quad r>0. \]
It is clear that, for integral \(m\),
\[ \sup_{\xi\in R_\nu}\frac{\psi(mn_0,\xi)}{m^\nu n_0^\nu}=1-\frac{r}{n_0^\nu}, \]
and, letting here \(m\to\infty\), we find, according to (3), that \(\beta(\mathfrak M)<1\).

Conversely, let \(\beta(\mathfrak M)<1\). Then, for all \(n\ge n_0\),
\[ \sup_{\xi}\frac{\psi(n,\xi)}{n^\nu}\le 1-r,\quad r>0, \]
whence
\[ \sup_{\xi}\psi(n,\xi)\le n^\nu-rn^\nu. \]
According to the definition, this also means that \(S(\mathfrak M)\le n_0<\infty\).

Let us formulate one more lemma, easily proved by contradiction.

Lemma 2. If an expanding sequence of sets
\[ \mathfrak M_1\subset \mathfrak M_2\subset\ldots\subset \mathfrak M \]
exhausts the set \(\mathfrak M\) completely, then
\[ \lim_{n\to\infty}\gamma(\mathfrak M_n)=\gamma(\mathfrak M). \]

Theorem 1. In order that the set \(\mathfrak M\subset R_\nu\) be a determining set, it is necessary, and in the case \(\nu=1\) also sufficient, that the asymptotic density \(\beta(\mathfrak M)<1\).

Proof. Necessity. Suppose that \(\beta(\mathfrak M)=1\). Then, by Lemma 1, \(S(\mathfrak M)=\infty\), and consequently there exists a sequence of cubes \(K_n^{\xi_n}\) for which
\[ \mu(M\cap K_n^{\xi_n})\to 0,\quad \text{as } n\to\infty. \]
According to Lemma 1 \((^1)\), \(\gamma(M\cap K_n^{\xi_n})\to 0\), and since, by Lemma 2 of the present paper and (1),
\[ \gamma(K_n^{\xi_n})\xrightarrow[n\to\infty]{}1, \]
we find that
\[ \gamma(\mathfrak M)=\lim\gamma(\mathfrak M\cap K_n^{\xi_n}) \ge \lim\gamma(K_n^{\xi_n})-\lim\gamma(M\cap K_n^{\xi_n})=1. \]
This proves the first part of the theorem.

Sufficiency. Without loss of generality one may assume that the fundamental domain \(\Omega\) is the interval \([-\pi,\pi]\). Let \(\mathfrak M\) be a set on the line
\[ R_1=\{\xi:|\xi|<\infty\} \]
and let \(\beta(\mathfrak M)<1\). Then \(S(\mathfrak M)<\infty\), and hence, for some \(N>S(\mathfrak M)\), any interval of length \(N\) intersects \(\mathfrak M\) in a set of measure less than \(N-d\), where \(d=\mathrm{const}>0\). Divide the line \(R_1\) into intervals \(e_n\) of length \(N\) so that
\[ e_n=[nN,(n+1)N],\quad n=0,\pm1,\ldots . \]
Each interval \(e_n\), in turn, we divide into
\[ K=\left[\frac{2N^2\tau}{d}\right]+1 \]
equal intervals
\[ e_{n,p},\quad p=1,\ldots,K. \]
A simple count shows that among the intervals \(e_{n,p}\) (with \(n\) fixed) there will be at least \(2N\tau\) such intervals* for which
\[ \mu(M\cap e_{n,p})>\frac{1}{KT}, \]
where
\[ T=K-2N\tau+1. \]
In the collection composed of the latter intervals, choose every second interval and enumerate the remaining ones from left to right:
\[ e_n^{(1)},\ldots,e_n^{(N\tau)}. \]
Carry out a similar procedure with each interval \(e_n\), \(n=0,\pm1,\ldots\). Now consider the sequence
\[ \{\xi_k\}_{-\infty}^{\infty} =\{\xi_{nN\tau+s}\}_{n=-\infty,\ s=1,\ldots,N\tau}^{\infty}, \]
where \(\xi_{nN\tau+s}\) is an arbitrary point of the set \(\mathfrak M\cap e_n^{(s)}\). It follows directly from the construction that

\[ |\xi_k-\xi_{k'}|\ge \frac{1}{KT}\quad \text{for any } k\ne k'. \tag{5} \]

* One may assume, of course, that the number \(N\tau\) is an integer.

Moreover,

\[ \left|\xi_k-\frac{k}{\tau}\right| = \left|\xi_{nN\tau+s}-\frac{nN\tau+s}{\tau}\right| \leqslant |\xi_{nN\tau+s}-nN| \leqslant N, \tag{6} \]

since, for any \(s=1,\ldots,N\tau\), the point \(\xi_{nN\tau+s}\in e_n\). Let now \(\hat u(\xi)\in \mathcal H\) be an arbitrary function. Then, in accordance with the choice of the intervals \(e_n^{(p)}\), we have

\[ \int_M |\hat u(\xi)|^2\,d\xi = \sum_n \int_{M\cap e_n} |\hat u(\xi)|^2\,d\xi \geqslant \sum_{p=1}^{N\tau}\sum_{n=-\infty}^{\infty} \int_{M\cap e_n^{(p)}} |\hat u(\xi)|^2\,d\xi \geqslant \]

\[ \geqslant \frac{1}{K T}\sum\sum_{\xi\in M\cap e_n^{(p)}} \inf |\hat u(\xi)|^2 = \frac{1}{K T}\sum_{p=1}^{N\tau}\sum_{n=-\infty}^{\infty} |\hat u(\lambda_{n,p})|^2, \tag{7} \]

where \(\lambda_{n,p}\in M\cap e_n^{(p)}\). Since the sequence \(\{\lambda_{n,p}\}\), as was proved, satisfies conditions (5)—(6), the theorem of Duffin and Schaeffer \((^3)\) on the equivalence in \(\mathcal H\) of the norm generated by the last sum in (7) and the norm \(\|\cdot\|\) is applicable. This gives

\[ \int_M |\hat u(\xi)|^2\,d\xi \geqslant \frac{A}{K T}\int_{-\infty}^{\infty} |\hat u(\xi)|^2\,d\xi, \qquad A=\mathrm{const}>0, \tag{8} \]

where \(A\) here does not depend on \(\hat u(\xi)\in\mathcal H\). From (8) it follows immediately that

\[ \|\hat u(\xi)\|_{\mathfrak M}^{2} \leqslant \left(1-\frac{A}{K T}\right)\|\hat u(\xi)\|^2, \]

whence we finally find that

\[ \gamma(\mathfrak M)\leqslant \left(1-\frac{A}{K T}\right)^{1/2}. \]

The theorem is proved.

  1. In this item we shall describe a class of determining sets in the space \(R_{\nu>2}\), including all sets known up to now \((^{1,2})\) with \(\gamma(\mathfrak M)<1\).

Definition 2. Let a family of functions \(\{f_\alpha(x)\}\), \(\alpha\in A\), be given on a set \(T\). We shall say that a point \(x_0\in T\) is a growth point of the family \(\{f_\alpha\}\) if the set of numbers \(\{f_\alpha(x_0)\}\) is unbounded. The lower boundary of the set of all growth points of the family \(\{f_\alpha(x)\}\) will be denoted by \(\sigma\{f_\alpha\}\).

Denote by \(\mathfrak M(\xi')\) the section of the set \(\mathfrak M\) by the line \(\xi'=(\xi_2,\ldots,\xi_\nu)=\mathrm{const}\).

Theorem 2. Let \(\mathfrak M\subset R_\nu\). If in the hyperplane \(\xi_1=0\) there exists a determining (in the space of \(\nu-1\) dimensions) set \(V\) such that for \(\xi'\in CV\) one has
\[ \sigma\{S_{\mathfrak M(\xi')}(r)\}>0, \]
then \(\gamma(\mathfrak M)<1^*\).

Remark. It is sufficient, of course, to require that the condition of the theorem be fulfilled for some hyperplane \((\xi,a)=\mathrm{const}\).

The proof of the assertion formulated is based on two lemmas.

Lemma 3. In order that \(\gamma(\mathfrak M)<1\), it is necessary and sufficient that, with some constant \(c>0\), the inequality \(**\)

\[ \|\hat u(\xi)\|_{\mathfrak M}\leqslant c\,\|\hat u(\xi)\|_M, \qquad \hat u(\xi)\in\mathcal H . \]

be satisfied.

Lemma 4. Let \(\{\mathfrak M_\alpha\}\) be a collection of sets on the line. In order that the set of numbers \(\{\gamma(\mathfrak M_\alpha)\}\) be separated from 1, i.e. \(\gamma(\mathfrak M_\alpha)\leqslant \lambda<1\), it is necessary and sufficient that

\[ \sigma\{S_{\mathfrak M_\alpha}(r)\}>0. \]

Proof of Theorem 2. Denote by \(\mathfrak M_V\) that part of the set \(\mathfrak M\) whose orthogonal projection onto the hyperplane \(\xi_1=0\) coincides with \(V\). By assumption,
\[ \sigma\{S_{\mathfrak M(\xi')}(r)\}>0,\qquad \xi'\in CV, \]
so that

\[ \text{* } CV \text{ denotes the complement of } V \text{ in the hyperplane } \xi_1=0. \]

\[ \text{** We recall that } \mathfrak M\cup M=R_\nu. \]

by Lemma 4, \(\gamma(\mathfrak{M}CV(\xi'))\leqslant \lambda<1\), and, applying Lemma 3, we find that

\[ \int_{\mathfrak{M}CV}|\hat u(\xi)|^2\,d\xi \leqslant \lambda\int_{\mathfrak{M}CV}|\hat u(\xi)|^2\,d\xi, \qquad \hat u(\xi)\in \mathcal H . \tag{9} \]

Next, since, by hypothesis, the set \(V\)—which is determining in \(R_{\nu-1}\)—satisfies Theorem 2 of [1], this, together with Lemma 3, gives

\[ \int_{\mathfrak{M}V}|\hat u(\xi)|^2\,d\xi \leqslant \gamma\int_{-\infty}^{\infty}d\xi_1\int_{CV}|\hat u(\xi)|^2\,d\xi' = \]

\[ = \gamma\int_{\mathfrak{M}CV}|\hat u(\xi)|^2\,d\xi + \gamma\int_{\mathfrak{M}CV}|\hat u(\xi)|^2\,d\xi . \tag{10} \]

Comparing (9) and (10), we find that

\[ \int_{\mathfrak{M}}|\hat u(\xi)|^2\,d\xi \leqslant (\lambda+\gamma+\lambda\gamma)\int_{\mathfrak{M}}|\hat u(\xi)|^2\,d\xi \]

and the application of Lemma 3 completes the proof of the theorem.

  1. The preceding results admit an interesting development connected with the variational problem formulated below, whose solution in the general case will, it seems to us, require the use of methods substantially subtler than those used above.

We shall call a set \(\mathfrak{M}\subset R_\nu\) a set of attainability if there exists a function \(\hat u_0(\xi)\in E\) for which \(\|\hat u_0(\xi)\|_{\mathfrak{M}}=\gamma(\mathfrak{M})\); in other words, if in the space \(\mathcal H\) the variational problem

\[ \int_{\mathfrak{M}}|\hat u(\xi)|^2\,d\xi=\mathrm{maximum} \qquad \text{under the condition}\qquad \int_{R_\nu}|\hat u(\xi)|^2\,d\xi=1 . \]

is solvable.

It is obvious that, with the exception of the whole space, every set of attainability \(\mathfrak{M}\) is determining. The converse is not true, as is easily seen from the example of a half-plane in \(R_2\). The problem is to describe all sets of attainability. The following theorem describes some of them.

Theorem 3. If \(\mu(\mathfrak{M})<\infty\), then \(\mathfrak{M}\) is a set of attainability. If \(\mathfrak{M}=\mathfrak{M}_p\times\mathfrak{M}_{\nu-p}\), where \(\mathfrak{M}_p\subset R_p\), and each of the sets \(\mathfrak{M}_p\) and \(\mathfrak{M}_{\nu-p}\) is a set of attainability (in the corresponding space), then \(\mathfrak{M}\) is a set of attainability.

I express my gratitude to V. Ya. Lin for useful discussions of the results presented.

Moscow State University
named after M. V. Lomonosov

Received
3 X 1961

References

  1. B. P. Panejakh, DAN, 138, No. 1 (1961).
  2. B. P. Panejakh, Dissertation, Leningrad State Pedagogical Institute, 1961.
  3. R. Duffin, A. Schaeffer. Trans. Am. Soc., 72, 341 (1952).

Submission history

On Some Problems of Harmonic Analysis