Abstract
Almost orthogonal frames have been introduced and studied. It has been proved that a bounded almost orthogonal frame satisfies Feichtinger conjecture. Also, we prove that a bounded almost orthogonal frame contains a Riesz basis.
1. Introduction
Frames were formally introduced in 1952 by Duffin and Schaeffer [1]. In 1985, frames were resurfaced in the book by Young [2]. The theory of frames began to be more widely studied only after the landmark paper of Daubechies et al. [3] in 1986. For an introduction to frames, one may refer to [4–6].
Feichtinger in his work on time frequency analysis noted that all Gabor frames (which he was using for his work) had the property that they could be divided into a finite number of subsets which were Riesz basis sequences. This observation led to the following conjecture, called the Feichtinger conjecture “Every bounded frame can be written as a finite union of Riesz basic sequences.”
Feichtinger conjecture is connected to the famous Kadison-Singer conjecture. It was shown in [7] that Kadison-Singer conjecture implies Feichtinger conjecture. For literature related to Feichtinger conjecture, one may refer to [7, 8].
In the present paper, we introduce and study almost orthogonal frames in Hilbert spaces and prove that a bounded almost orthogonal frame satisfies Feichtinger conjecture. Also, we prove that a bounded almost orthogonal frame contains a Riesz basis.
2. Preliminaries
Throughout the paper, will denote an infinite-dimensional Hilbert space, an infinite-increasing sequence in , the closed linear span of , and for any set , will denote cardinality of .
Definition 2.1. A sequence in a Hilbert space is said to be a frame for if there exist constants and with such that
The positive constants and , respectively, are called lower and upper frame bounds for the frame . The inequality (2.1) is called the frame inequality for the frame .
A frame in is called tight if it is possible to choose satisfying inequality (2.1) with as frame bounds and is called normalized tight if . A frame in is called exact if removal of any renders the collection no longer a frame for . A sequence is called a Bessel sequence if it satisfies upper frame inequality in (2.1).
Definition 2.2. A sequence in is called a Riesz basic sequence if there exist positive constants and such that for all finite sequence of scalars , we have
In case, the Riesz basic sequence is complete in , it is called a Riesz basis for .
Definition 2.3. A sequence in a Hilbert space is said to be a block sequence with respect to a given sequence in , if it is of the form where 's are finite subsets of with , , and 's are any scalars.
It has been observed in [9] that a block sequence with respect to a frame in a Hilbert space may not be a frame for . Also, a block sequence with respect to a sequence in which is not even a frame for may be a frame for .
3. Main Results
We begin with a sufficient condition for a bounded frame to satisfy the Feichtinger conjecture.
Theorem 3.1. Let be a bounded frame for . If there exists a sequence of finite subsets of with , for all , and such that , where , then can be decomposed into a finite union of a Riesz basic sequences.
Proof. Suppose the problem has an affirmative answer. Let be sequence of finite subsets of with , and such that , where and is a bounded frame for . Let be a sequence of sets given by Now, for each , choose a sequence such that Then, for each , is a sequence of orthogonal vectors which are norm bounded. So, is a Riesz basic sequence for , for each . Also, note that Since 's are finite, varies on a finite set. Hence is decomposed into finite number of Riesz basic sequences.
We will now introduce a concept which is more general than orthogonal frame and call it almost orthogonal frame. We give the following definition of almost orthogonal frame.
Definition 3.2. A frame in a Hilbert space is called an almost orthogonal frame of order if is the smallest natural number for which there exists a permutation of such that
Note 1. We use instead of for convenience.
Example 3.3. (I) An orthogonal basis is an almost orthogonal frame of order 1.
(II) is an almost orthogonal frame of order 2.
(III) is not an almost orthogonal frame of any order.
(IV) is an almost orthogonal frame of order 3.
(V) is not an almost orthogonal frame of any order.
(VI) is an almost orthogonal frame of order 2.
(VII) is a tight frame with , which is almost orthogonal of order 2 and is not bounded below.
Observations
(I)A bounded frame may or may not be an almost orthogonal frame. (See Example I and Example V.) (II)An almost orthogonal frame of some finite order may or may not be a Riesz basis. (See Example II and Example V.) (III)A Riesz basis may or may not be an almost orthogonal frame. (See Example I and Example V.)
Theorem 3.4. A bounded almost orthogonal frame satisfies Feichtinger conjecture.
Proof. Let be a bounded almost orthogonal frame of order . Define a sequence of subspaces as follows:
Now, since is an almost orthogonal frame of degree . This gives
Let and , for any . Then
Therefore, we have
Also, we have
So, by Theorem 3.1
can be written as finite union of Riesz basic sequences.
Similarly, using Theorem 3.1,
can be written as finite union of Riesz basic sequences.
Hence, can be written as finite union of Riesz basic sequences.
Remark 3.5. Almost orthogonal frames produce fusion frames (nonorthogonal) and fusion frame systems. Indeed, let be an almost orthogonal frame of order . Proceeding as in Theorem 3.4, we get a sequence of subspaces satisfying Now, define a sequence of projections (). Then, we can easily verify that is a fusion frame for and is a fusion frame for . So, is a fusion frame for .
Finally, we prove that for any bounded almost orthogonal frame, there exists a block sequence with respect to the almost orthogonal frame such that the block sequence is a Riesz basis. More precisely, we have the following.
Theorem 3.6. A bounded almost orthogonal frame contains a Riesz basis.
Proof. Let be an almost orthogonal frame of order . Consider . Then, following the steps in Theorem 3.4, we get a sequence of subspaces which are finite dimensional. So, we can extract a Riesz basis for out of and let it be . Then is a Riesz basis for and is a Riesz basis for , where and are as in Theorem 3.4. Write for all , then, for each , is a finite-dimensional subspace of . Let be an extracted Riesz basis for which is extracted from or . Then, is the desired Riesz basis for .
Acknowledgment
The authors thank the anonymous referees for their useful and valuable suggestions which greatly helped to improve this paper.