2013
DOI: 10.1016/j.laa.2013.04.016
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Maximum robustness and surgery of frames in finite dimensions

Abstract: Abstract. We consider frames in a finite-dimensional Hilbert space Hn where frames are exactly the spanning sets of the vector space. We present a method to determine the maximum robustness of a frame. We present results on tight subframes and surgery of frames. We also answer the question of when length surgery resulting in a tight frame set for Hn is possible.

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Cited by 7 publications
(5 citation statements)
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“…The diagram vectors give us the following characterizations of tight frames and scalable frames: Theorem 7. [17,16] Let {f i } k i=1 be a sequence of vectors in H, not all of which are zero. Then {f i } k i=1 is a tight frame if and only if k i=1 fi = 0.…”
Section: 1mentioning
confidence: 99%
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“…The diagram vectors give us the following characterizations of tight frames and scalable frames: Theorem 7. [17,16] Let {f i } k i=1 be a sequence of vectors in H, not all of which are zero. Then {f i } k i=1 is a tight frame if and only if k i=1 fi = 0.…”
Section: 1mentioning
confidence: 99%
“…Theorem 8. [17,16] Let {f i } k i=1 be a unit-norm frame for H and c 1 , • • • , c k be nonnegative numbers, which are not all zero. Let G be the Gramian associated to the diagram vectors…”
Section: 1mentioning
confidence: 99%
“…Theorem 2.1 ( [10,9]). Let {f i } k i=1 be a sequence of vectors in R n , not all of which are zero.…”
Section: Preliminariesmentioning
confidence: 99%
“…Moreover, Theorem 4.10 gives conditions for c under which the empty cover of cF is pairwise disjoint. That is, if we have two different collection of subsets of minimal scalings for the orthogonal decomposition (10), then EC(cF ) is not pairwise disjoint. We note the orthogonal decomposition (10) is not unique in general.…”
Section: Theorem 48 ([7]mentioning
confidence: 99%
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