2 PETER G. CASAZZA, MANUEL T. LEON In this paper we generalize these results to the case where I is replaced by any positive selfadjoint invertible op
|
|
- Cornelius Cox
- 6 years ago
- Views:
Transcription
1 FRAMES WITH A GIVEN FRAME OPERATOR PETER G. CASAZZA, MANUEL T. LEON Abstract. Let S be a positive self-adjoint invertible operator on an N-dimensional Hilbert space H N and let M N. We give necessary and sufcient conditions on real sequences a a2 a M 0 so that there is a frame f' n g for H N with frame operator S and k' n k = a n, for all n =; 2;:::M. As a consequence we see that for any frame operator S on H N and for any M N, there is an equal norm frame for H N with M elements and having S as its frame operator. AMATLAB toolbox [4] implementing all results is freely distributed by the authors.. Introduction A sequence f' n g is a frame for an N-dimensional Hilbert space H N if the positive selfadjoint frame operator S = h'; ' n i' n is a bounded, invertible operator on H N. A frame f' n g is a -tight frame if S = I and if =, it is a Parseval frame. Moreover, Tr S = P k' n k 2. Hilbert space frames have played a fundamental role in signal/image processing since the seminal work of Gabor [7]. The tools introduced by Gabor where formalized into the notion of frames by Dufn and Schaeffer [5]. Recently, frames have been applied in a wide variety of areas from the Internet [8] and [9], multiple antenna coding [0], quantum theory [6], and [] and more. Each application of frame theory requires a new class of frames designed for the specic application. This often involves having to nd frames with ( prescribed in advance ) norms for the frame vectors. In [2] there is given necessary and sufcient conditions on real sequences a a 2 a M > 0 so that there exists a tight frame f' n g for H N with k' n k = a n, for all n =; 2;:::M. The condition for the existence of a -tight frame given in[2]isthat = a 2 n Na2 : One interpretation of this result is that it gives necessary and sufcient conditions on k' n k for f' n g to form a frame for H N with frame operator S = I. An alternative proof of this result appears in [3] where an algorithm is given for this construction which runsvery efciently in MATLAB. Date: April 5, Mathematics Subject Classication. 42C5. Key words and phrases. Finite tight frame, orthogonal matrix. P.G. Casazza and M. T. Leon were supported by NSF DMS
2 2 PETER G. CASAZZA, MANUEL T. LEON In this paper we generalize these results to the case where I is replaced by any positive selfadjoint invertible operator S on H N. That is, for a given S and M N, we give necessary and sufcient conditions on a a 2 a M > 0 so that there is a frame f' n g for H N with frame operator S and satisfying: k' n k = a n, for all n =; 2;:::M. 2. Main Result The main result in this paper is: Theorem 2.. Let S be a positive self-adjoint operator on a N-dimensional Hilbert space H N. Let 2 ::: N be the eigenvalues of S. Fix M N and real numbers a a 2 :::a M > 0. The following are equivalent: () There is a frame f' j g j=m ; 2;:::;M. for H N with frame operator S and k' j k = a j, for all j = (2) For every» k» N, (2.) i=k i=k a 2 i» i ; and It is well known ( see e.g. [] ) that there are equal norm Parseval frames with M-elements in H N for all M N. As a consequence of Theorem ( 2. ), we see that there are equal norm tight frames for any prescribed frame operator. Corollary 2.2. If S is a positive self-adjoint operator on H N then for every M N there is an equal norn frame f' n g for H N whose frame operator equals S. Proof. Let 2 N be the eigenvalues of S and let = i=n i. Fix M N. If P i=m a 2 i = i=n p a n = =M for every n then i=m a 2 n =, and for all» k» N, i=k a 2 n = k M = k M i=n i = k N M i=n N i» k N M i : i=k k In the next to last inequality above we have used the fact that deleting some of the smallest numbers from a set of numbers will increase the average of the numbers. p Hence, by Theorem ( 2. ), there is a frame f' n g with k' n k = =M for all n = ; 2;:::; M having frame operator S. To show that () implies (2) in the theorem we will actually prove a more general result. Theorem 2.3. Let f' j g j=m be a frame for H N with frame operator S having eigenvalues 2 N. If P is an orthogonal projection of H N onto a k-dimensional subspace,» k» N, then j=n j=n k+ j» j=m Proof. Let fe n g n=n be an orthonormal basis for H N with Se n = n e n, n = ; 2;:::;N. Let P be a rank k orthogonal projection on H N and let fψ i g i=k be an orthonormal basis for PH N. It is known ( see e.g. [2] ),that i» P i=k i :
3 () P P (2) FRAMES WITH A GIVEN FRAME OPERATOR 3 jh' n ;e m ij 2 = m, for all» m» N h' n ;e l ih' n ;e m i =0for all» l 6= m» N. Now we compute using () and (2) above. m= i=k i=k m= hψ i ;e m ih' n ;e m i kp' n k 2 = 2 = jhψ i ;e m ij 2 jh' n ;e m ij 2 + i=k i=k l=n m= l= i=k m6=l i=k jhψ i ;e m ij 2 m= jhψ i ;P' n ij 2 = i=k jhψ i ;' n ij 2 = hψ i ;e m ih' n ;e m ihψ i ;e l ih' n ;e l i = hψ i ;e m ihψ i ;e l i jh' n ;e m ij 2 = Since fψ i g i=k is an orthonormal basis for its span, we have that and i=k i=k m= n=n i=k m= jhψ i ;e m ij 2» ; for all» i» k;» m» N jhψ i ;e m ij 2 = i=k m= Combined with our calculations above, we obtain, ψ m=k i=k m m= m= jhψ i ;e m ij 2! m = jhψ i ;e m ij 2 = m= i=k kp' m k 2 h' n ;e l ih' n ;e m i = kψk 2 = k: k jhψ i ;e m ij 2 m : We now give two corollaries. The rst is one of the implications of Theorem (2.). Corollary 2.4. Let f' j g M be a frame for H N with frame operator S having eigenvalues 2 ::: N > 0. If k' k k' 2 k k' M k, then for every» k» N, k' j k 2» j Proof. Given k, let P be an orthogonal projection of rank k on H N so that ' j 2 PH N, for all» j» k. By Theorem ( 2.3 ) we have : k' j k 2 = j=m m :
4 4 PETER G. CASAZZA, MANUEL T. LEON The next corollary is well-known in many areas of mathematics. For example, in PDE's this is a consequence of the Rayleigh min/max principle. In stochastic processes this is the Karhunen- Loéwe theorem. Corollary 2.5. Let S be a positive self-adjoint operator on H N with eigenvalues 2 ::: N > 0. If P is a rank k orthogonal projection on H N then Tr(PSP)» Proof. If fe j g N is an orthonormal sequence in H N with Se j = j e j,thenf' j = p j e j g N is a frame for H N with frame operator S. Hence, PSP is the frame operator for fp' j g N. Applying Theorem ( 2.3 ), for every» k» N, we have Tr(PSP)= j=n Now we complete the proof of the main result by showing that (2) implies (). We'll start with aframef' j g j=m with frame operator S. The vectors used in Corollary ( 2.5 ) can be extended to a frame on H N with frame operator S. More generally, sinces is symmetric, S = V V where V is an orthonormal matrix and is a diagonal matrix with diag() = ( ; 2 ;:::; N ). Let M N be such that its top N rows equal 2 and all remaining entries are zero. Let W M M be orthonormal ( or unitary ), and let ' j = j th row of F = W V. Then The Gram operator is given by G = FF, and F F =(W V ) W V = V V = S: diag(g) =(k' k 2 ;:::;k' M k 2 ): Then ( Horn. p. 0) there is an orthogonal matrix U M M and an diagonal matrix such that G = U U; where diag() = ( ;:::; N ; 0;:::;0): Let V M M be (see Proposition ( 3. ) in the appendix ) an orthogonal matrix such that if T = V V ; then; diag(t )=(a 2 ;:::;a2 M): Let ψ j = j th row ofh = VUF. Then fψ j g j=m is a frame since rank(h) =rank(f )=N. Its frame operator is given by and the diagonal of its Gram matrix is H H =(VUF) VUF = F F = S; diag(vuf(vuf) )=diag(vuff U V )=diag(v V )=(a 2 ;:::;a2 M):
5 FRAMES WITH A GIVEN FRAME OPERATOR 5 3. Appendix Every matrix in O(M) ( the orthogonal group ) is obtained as a product of Givens rotations (t; j; k; M) 2 O(M);j <k, where It is clear that (t; j; k; M) = 0 I j ;j cos(t) 0 sin(t) I M j k 2;M j k sin(t) 0 cos(t) I k ;k (t; j; k; M) = ( t; j; k; M) Proposition 3.. Let ;:::; M and a ;:::;a M be real numbers such that a 2 a2 2 a2 M and for every» k» M, (3.) i=k i=k a 2 i» i ; and Let be a diagonal matrix with diag() = ( ;:::; M ). Then there is a matrix O 2 O(M) such that i=m a 2 i = diag(oo )=(a 2 ;:::;a2 M): p Proof. We'll prove the proposition by induction on M. If M =2,lett = arcsin( a 2= 2 and O = (t; ; 2; 2). Next, Assume the result holds for M. From the hypothetsis, a 2. Let k be such that j a 2 for j =;:::;k and a 2 k. Let Then t = arcsin( q i=m i : a 2 = k and O = (t; ;k;m): O O = 0 a 2 0 ::: 0 :::0 0 :::.. ::: 0 :::.. 0 ::: where represents a possibly nonzero entry on kth row and st column ( or st row and kth column ). Let be the (M ) (M ) bottom right boxofo O. Then, is a diagonal matrix and, since Tr() = Tr(O O ), C A diag( )=( 2 ;:::; k ; k + a 2 ; k+;:::; M ): Now we'll verify that diag( ) and a 2 ;:::;a M meet the premises of the lemma. If m<k, m (m ) a 2 (m ) a2 2 a a 2 m : : C A
6 6 PETER G. CASAZZA, MANUEL T. LEON If m k, Then m = k + k + a 2 + k+ + + m = O = m a 2 a a 2 m : 0 0 O 2 O : where O 2 is the solution for, will satisfy the claim. References [] P. G. Casazza and J. Kova»cević. Equal norm tight frames with erasures. Advances in Computational Mathematics, special issue on frames, 2002.Invited Paper. [2] P. G. Casazza, J. Kova»cević, M. T. Leon, and J. C. Tremain. Custom built tight frames Preprint. [3] P. G. Casazza and M. T. Leon. Existence and construction of nite tight frames Preprint. [4] P. G. Casazza and M. T. Leon. Frameware [5] R. J. Dufn and A. C. Schaeffer. A class of nonharmonic fourier series. Trans. AMS, 72:34 366, 952. [6] Y. Eldar and G.D. Forney. Optimal tight frames and quantum measurement Preprint. [7] D. Gabor. Theory of communications. Jour. Inst. Elec. Eng. (London), 93: , 946. [8] V. K. Goyal and J. Kova»cević. Quantized frame expansions with erasures. Appl. Comput. Harmon. Anal., 0(3): , 200. To appear. [9] V. K. Goyal, J. Kova»cević, and M. Vetterli. Multiple description transform coding: Robustness to erasures using tight frame expansions. Proc. IEEE Int. Symp. on Inform. Th., 998. Cambridge, MA. [0] B. Hochwald, T. Marzetta, T. Richardson, W. Sweldens, and R. Urbanke. Systematic design of unitary space-time constellations. IEEE Trans. Inform. Th., Submitted. [] E.»Soljanin. Tight frames in quantum information theory. DIMACS Workshop on Source Coding and Harmonic Analysis. Department of Mathematics, University of Missouri, Columbia, MO 652 address: pete@math.missouri.edu,mleon@math.missouri.edu
University of Missouri Columbia, MO USA
EXISTENCE AND CONSTRUCTION OF FINITE FRAMES WITH A GIVEN FRAME OPERATOR PETER G. CASAZZA 1 AND MANUEL T. LEON 2 1 Department of Mathematics University of Missouri Columbia, MO 65211 USA e-mail: casazzap@missouri.edu
More informationSo reconstruction requires inverting the frame operator which is often difficult or impossible in practice. It follows that for all ϕ H we have
CONSTRUCTING INFINITE TIGHT FRAMES PETER G. CASAZZA, MATT FICKUS, MANUEL LEON AND JANET C. TREMAIN Abstract. For finite and infinite dimensional Hilbert spaces H we classify the sequences of positive real
More informationA NEW IDENTITY FOR PARSEVAL FRAMES
PROCEEDINGS OF THE AMERICAN MATHEMATICAL SOCIETY Volume 00, Number 0, Pages 000 000 S 0002-9939(XX)0000-0 A NEW IDENTITY FOR PARSEVAL FRAMES RADU BALAN, PETER G. CASAZZA, DAN EDIDIN, AND GITTA KUTYNIOK
More informationMULTIPLEXING AND DEMULTIPLEXING FRAME PAIRS
MULTIPLEXING AND DEMULTIPLEXING FRAME PAIRS AZITA MAYELI AND MOHAMMAD RAZANI Abstract. Based on multiplexing and demultiplexing techniques in telecommunication, we study the cases when a sequence of several
More informationA BRIEF INTRODUCTION TO HILBERT SPACE FRAME THEORY AND ITS APPLICATIONS AMS SHORT COURSE: JOINT MATHEMATICS MEETINGS SAN ANTONIO, 2015 PETER G. CASAZZA Abstract. This is a short introduction to Hilbert
More informationA FRAME THEORY PRIMER FOR THE KADISON-SINGER PROBLEM
A FRAME THEORY PRIMER FOR THE KADISON-SINGER PROBLEM PETER G. CASAZZA Abstract. This is a primer on frame theory geared towards the parts of the theory needed for people who want to understand the relationship
More informationbuer overlfows at intermediate nodes in the network. So to most users, the behavior of a packet network is not characterized by random loss, but by un
Uniform tight frames for signal processing and communication Peter G. Casazza Department of Mathematics University of Missouri-Columbia Columbia, MO 65211 pete@math.missouri.edu Jelena Kovacevic Bell Labs
More informationarxiv:math/ v1 [math.fa] 14 Sep 2003
arxiv:math/0309236v [math.fa] 4 Sep 2003 RANK-ONE DECOMPOSITION OF OPERATORS AND CONSTRUCTION OF FRAMES KERI A. KORNELSON AND DAVID R. LARSON Abstract. The construction of frames for a Hilbert space H
More informationReal, Tight Frames with Maximal Robustness to Erasures
Real, Tight Frames with Maximal Robustness to Erasures Markus Püschel 1 and Jelena Kovačević 2,1 Departments of 1 ECE and 2 BME Carnegie Mellon University Pittsburgh, PA Email: pueschel@ece.cmu.edu, jelenak@cmu.edu
More informationA DECOMPOSITION THEOREM FOR FRAMES AND THE FEICHTINGER CONJECTURE
PROCEEDINGS OF THE AMERICAN MATHEMATICAL SOCIETY Volume 00, Number 0, Pages 000 000 S 0002-9939(XX)0000-0 A DECOMPOSITION THEOREM FOR FRAMES AND THE FEICHTINGER CONJECTURE PETER G. CASAZZA, GITTA KUTYNIOK,
More informationCONSTRUCTIVE PROOF OF THE CARPENTER S THEOREM
CONSTRUCTIVE PROOF OF THE CARPENTER S THEOREM MARCIN BOWNIK AND JOHN JASPER Abstract. We give a constructive proof of Carpenter s Theorem due to Kadison [14, 15]. Unlike the original proof our approach
More informationDecompositions of frames and a new frame identity
Decompositions of frames and a new frame identity Radu Balan a, Peter G. Casazza b, Dan Edidin c and Gitta Kutyniok d a Siemens Corporate Research, 755 College Road East, Princeton, NJ 08540, USA; b Department
More informationFrame Diagonalization of Matrices
Frame Diagonalization of Matrices Fumiko Futamura Mathematics and Computer Science Department Southwestern University 00 E University Ave Georgetown, Texas 78626 U.S.A. Phone: + (52) 863-98 Fax: + (52)
More informationSubsequences of frames
Subsequences of frames R. Vershynin February 13, 1999 Abstract Every frame in Hilbert space contains a subsequence equivalent to an orthogonal basis. If a frame is n-dimensional then this subsequence has
More informationConstructive Proof of the Carpenter s Theorem
Canad. Math. Bull. Vol. 57 (3), 2014 pp. 463 476 http://dx.doi.org/10.4153/cmb-2013-037-x c Canadian Mathematical Society 2013 Constructive Proof of the Carpenter s Theorem Marcin Bownik and John Jasper
More informationSpanning and Independence Properties of Finite Frames
Chapter 1 Spanning and Independence Properties of Finite Frames Peter G. Casazza and Darrin Speegle Abstract The fundamental notion of frame theory is redundancy. It is this property which makes frames
More informationReal Equiangular Frames
Peter G Casazza Department of Mathematics The University of Missouri Columbia Missouri 65 400 Email: pete@mathmissouriedu Real Equiangular Frames (Invited Paper) Dan Redmond Department of Mathematics The
More informationUniversity of Missouri. In Partial Fulllment LINDSEY M. WOODLAND MAY 2015
Frames and applications: Distribution of frame coecients, integer frames and phase retrieval A Dissertation presented to the Faculty of the Graduate School University of Missouri In Partial Fulllment of
More informationBANACH FRAMES GENERATED BY COMPACT OPERATORS ASSOCIATED WITH A BOUNDARY VALUE PROBLEM
TWMS J. Pure Appl. Math., V.6, N.2, 205, pp.254-258 BRIEF PAPER BANACH FRAMES GENERATED BY COMPACT OPERATORS ASSOCIATED WITH A BOUNDARY VALUE PROBLEM L.K. VASHISHT Abstract. In this paper we give a type
More informationTHE KADISON-SINGER PROBLEM AND THE UNCERTAINTY PRINCIPLE
PROCEEDINGS OF THE AMERICAN MATHEMATICAL SOCIETY Volume 00, Number 0, Pages 000 000 S 0002-9939(XX)0000-0 THE KADISON-SINGER PROBLEM AND THE UNCERTAINTY PRINCIPLE PETER G. CASAZZA AND ERIC WEBER Abstract.
More informationLinear Algebra and its Applications
Linear Algebra and its Applications 439 (2013) 1330 1339 Contents lists available at SciVerse ScienceDirect Linear Algebra and its Applications journal homepage: www.elsevier.com/locate/laa Maximum robustness
More informationMinimizing Fusion Frame Potential
manuscript No. (will be inserted by the editor) Minimizing Fusion Frame Potential Peter G. Casazza 1, Matthew Fickus 2 1 Department of Mathematics, University of Missouri, Columbia, Missouri 65211, e-mail:
More informationRobustness of Fusion Frames under Erasures of Subspaces and of Local Frame Vectors
Contemporary Mathematics Robustness of Fusion Frames under Erasures of Subspaces and of Local Frame Vectors Peter G. Casazza and Gitta Kutyniok Abstract. Fusion frames were recently introduced to model
More informationOn Riesz-Fischer sequences and lower frame bounds
On Riesz-Fischer sequences and lower frame bounds P. Casazza, O. Christensen, S. Li, A. Lindner Abstract We investigate the consequences of the lower frame condition and the lower Riesz basis condition
More informationFRAME DUALITY PROPERTIES FOR PROJECTIVE UNITARY REPRESENTATIONS
FRAME DUALITY PROPERTIES FOR PROJECTIVE UNITARY REPRESENTATIONS DEGUANG HAN AND DAVID LARSON Abstract. Let π be a projective unitary representation of a countable group G on a separable Hilbert space H.
More informationDUALITY PRINCIPLE IN g-frames
Palestine Journal of Mathematics Vol. 6(2)(2017), 403 411 Palestine Polytechnic University-PPU 2017 DUAITY PRINCIPE IN g-frames Amir Khosravi and Farkhondeh Takhteh Communicated by Akram Aldroubi MSC 2010
More informationg-frame Sequence Operators, cg-riesz Bases and Sum of cg-frames
International Mathematical Forum, Vol. 6, 2011, no. 68, 3357-3369 g-frame Sequence Operators, cg-riesz Bases and Sum of cg-frames M. Madadian Department of Mathematics, Tabriz Branch, Islamic Azad University,
More informationThe Kadison-Singer and Paulsen Problems in Finite Frame Theory
Chapter 1 The Kadison-Singer and Paulsen Problems in Finite Frame Theory Peter G. Casazza Abstract We now know that some of the basic open problems in frame theory are equivalent to fundamental open problems
More informationLinear Algebra and its Applications
Linear Algebra and its Applications 434 (011) 1893 1901 Contents lists available at ScienceDirect Linear Algebra and its Applications journal homepage: www.elsevier.com/locate/laa Robustness and surgery
More informationDensity results for frames of exponentials
Density results for frames of exponentials P. G. Casazza 1, O. Christensen 2, S. Li 3, and A. Lindner 4 1 Department of Mathematics, University of Missouri Columbia, Mo 65211 USA pete@math.missouri.edu
More informationOn the Equality of Fusion Frames 1
International Mathematical Forum, 4, 2009, no. 22, 1059-1066 On the Equality of Fusion Frames 1 Yao Xiyan 2, Gao Guibao and Mai Ali Dept. of Appl. Math., Yuncheng University Shanxi 044000, P. R. China
More informationLinear Independence of Gabor Systems in Finite Dimensional Vector Spaces
The Journal of Fourier Analysis and Applications Volume 11, Issue 6, 2005 Linear Independence of Gabor Systems in Finite Dimensional Vector Spaces Jim Lawrence, Götz E. Pfander, and David Walnut Communicated
More informationj jf, S K cf = j K c j jf, f H.
DOI 10.1186/s40064-016-2731-2 RESEARCH New double inequalities for g frames in Hilbert C modules Open Access Zhong Qi Xiang * *Correspondence: lxsy20110927@163.com College of Mathematics and Computer Science,
More informationFilter Bank Frame Expansions With Erasures
IEEE TRANSACTIONS ON INFORMATION THEORY, VOL 48, NO 6, JUNE 2002 1439 Filter Bank Frame Expansions With Erasures Jelena Kovačević, Fellow, IEEE, Pier Luigi Dragotti, Student Member, IEEE, and Vivek K Goyal,
More informationFrame expansions in separable Banach spaces
Frame expansions in separable Banach spaces Pete Casazza Ole Christensen Diana T. Stoeva December 9, 2008 Abstract Banach frames are defined by straightforward generalization of (Hilbert space) frames.
More informationA primer on the theory of frames
A primer on the theory of frames Jordy van Velthoven Abstract This report aims to give an overview of frame theory in order to gain insight in the use of the frame framework as a unifying layer in the
More informationDensity, Overcompleteness, and Localization of Frames. I. Theory
The Journal of Fourier Analysis and Applications Volume 2, Issue 2, 2006 Density, Overcompleteness, and Localization of Frames. I. Theory Radu Balan, Peter G. Casazza, Christopher Heil, and Zeph Landau
More informationLOSS-INSENSITIVE VECTOR ENCODING WITH TWO-UNIFORM FRAMES
LOSS-INSENSITIVE VECTOR ENCODING WITH TWO-UNIFORM FRAMES BERNHARD G. BODMANN AND VERN I. PAULSEN Abstract. The central topic of this paper is the linear, redundant encoding of vectors using frames for
More informationLOCAL AND GLOBAL STABILITY OF FUSION FRAMES
LOCAL AND GLOBAL STABILITY OF FUSION FRAMES Jerry Emidih Norbert Wiener Center Department of Mathematics University of Maryland, College Park November 22 2016 OUTLINE 1 INTRO 2 3 4 5 OUTLINE 1 INTRO 2
More informationMath 407: Linear Optimization
Math 407: Linear Optimization Lecture 16: The Linear Least Squares Problem II Math Dept, University of Washington February 28, 2018 Lecture 16: The Linear Least Squares Problem II (Math Dept, University
More informationOperators with Closed Range, Pseudo-Inverses, and Perturbation of Frames for a Subspace
Canad. Math. Bull. Vol. 42 (1), 1999 pp. 37 45 Operators with Closed Range, Pseudo-Inverses, and Perturbation of Frames for a Subspace Ole Christensen Abstract. Recent work of Ding and Huang shows that
More informationApplied and Computational Harmonic Analysis
Appl. Comput. Harmon. Anal. 32 (2012) 139 144 Contents lists available at ScienceDirect Applied and Computational Harmonic Analysis www.elsevier.com/locate/acha Letter to the Editor Frames for operators
More informationFrames and a vector-valued ambiguity function
Norbert Wiener Center Department of Mathematics University of Maryland, College Park http://www.norbertwiener.umd.edu Outline 1 Problem and goal 2 Frames 3 Multiplication problem and A 1 p 4 A d p : Z
More informationUniqueness of the Solutions of Some Completion Problems
Uniqueness of the Solutions of Some Completion Problems Chi-Kwong Li and Tom Milligan Abstract We determine the conditions for uniqueness of the solutions of several completion problems including the positive
More informationJournal of Mathematical Analysis and Applications. Properties of oblique dual frames in shift-invariant systems
J. Math. Anal. Appl. 356 (2009) 346 354 Contents lists available at ScienceDirect Journal of Mathematical Analysis and Applications www.elsevier.com/locate/jmaa Properties of oblique dual frames in shift-invariant
More informationKaczmarz algorithm in Hilbert space
STUDIA MATHEMATICA 169 (2) (2005) Kaczmarz algorithm in Hilbert space by Rainis Haller (Tartu) and Ryszard Szwarc (Wrocław) Abstract The aim of the Kaczmarz algorithm is to reconstruct an element in a
More informationarxiv: v2 [math.na] 27 Dec 2016
An algorithm for constructing Equiangular vectors Azim rivaz a,, Danial Sadeghi a a Department of Mathematics, Shahid Bahonar University of Kerman, Kerman 76169-14111, IRAN arxiv:1412.7552v2 [math.na]
More informationPAVING AND THE KADISON-SINGER PROBLEM
PAVING AND THE KADISON-SINGER PROBLEM PETE CASAZZA, VERN PAULSEN, AND GARY WEISS Abstract. This is an introduction to problems surrounding the Paving Conjecture.. Paving Parameters and Notation Notation..
More informationThe Kadison-Singer Problem and the Uncertainty Principle Eric Weber joint with Pete Casazza
The Kadison-Singer Problem and the Uncertainty Principle Eric Weber joint with Pete Casazza Illinois-Missouri Applied Harmonic Analysis Seminar, April 28, 2007. Abstract: We endeavor to tell a story which
More informationOptimal dual fusion frames for probabilistic erasures
Electronic Journal of Linear Algebra Volume 32 Volume 32 (2017) Article 16 2017 Optimal dual fusion frames for probabilistic erasures Patricia Mariela Morillas Universidad Nacional de San Luis and CONICET,
More informationInequalities in Hilbert Spaces
Inequalities in Hilbert Spaces Jan Wigestrand Master of Science in Mathematics Submission date: March 8 Supervisor: Eugenia Malinnikova, MATH Norwegian University of Science and Technology Department of
More informationPROBLEMS ON PAVING AND THE KADISON-SINGER PROBLEM. 1. Notation
PROBLEMS ON PAVING AND THE KADISON-SINGER PROBLEM Abstract. For a background and up to date information about paving see the posted note: Paving and the Kadison-Singer Problem. Please send problems which
More informationThroughout these notes we assume V, W are finite dimensional inner product spaces over C.
Math 342 - Linear Algebra II Notes Throughout these notes we assume V, W are finite dimensional inner product spaces over C 1 Upper Triangular Representation Proposition: Let T L(V ) There exists an orthonormal
More informationConstructing tight fusion frames
Constructing tight fusion frames Peter G. Casazza a, Matthew Fickus b, Dustin G. Mixon c, Yang Wang d, Zhenfang Zhou d a Department of Mathematics, University of Missouri, Columbia, Missouri 6, USA b Department
More informationFast Angular Synchronization for Phase Retrieval via Incomplete Information
Fast Angular Synchronization for Phase Retrieval via Incomplete Information Aditya Viswanathan a and Mark Iwen b a Department of Mathematics, Michigan State University; b Department of Mathematics & Department
More informationG-frames in Hilbert Modules Over Pro-C*-algebras
Available online at http://ijim.srbiau.ac.ir/ Int. J. Industrial Mathematics (ISSN 2008-5621) Vol. 9, No. 4, 2017 Article ID IJIM-00744, 9 pages Research Article G-frames in Hilbert Modules Over Pro-C*-algebras
More informationMATRICES ARE SIMILAR TO TRIANGULAR MATRICES
MATRICES ARE SIMILAR TO TRIANGULAR MATRICES 1 Complex matrices Recall that the complex numbers are given by a + ib where a and b are real and i is the imaginary unity, ie, i 2 = 1 In what we describe below,
More informationWaveform design and quantum detection matched filtering
Waveform design and quantum detection matched filtering John J. Benedetto Norbert Wiener Center, Department of Mathematics University of Maryland, College Park http://www.norbertwiener.umd.edu Waveform
More informationFinite-dimensional spaces. C n is the space of n-tuples x = (x 1,..., x n ) of complex numbers. It is a Hilbert space with the inner product
Chapter 4 Hilbert Spaces 4.1 Inner Product Spaces Inner Product Space. A complex vector space E is called an inner product space (or a pre-hilbert space, or a unitary space) if there is a mapping (, )
More informationFourier and Wavelet Signal Processing
Ecole Polytechnique Federale de Lausanne (EPFL) Audio-Visual Communications Laboratory (LCAV) Fourier and Wavelet Signal Processing Martin Vetterli Amina Chebira, Ali Hormati Spring 2011 2/25/2011 1 Outline
More informationMATH 423 Linear Algebra II Lecture 33: Diagonalization of normal operators.
MATH 423 Linear Algebra II Lecture 33: Diagonalization of normal operators. Adjoint operator and adjoint matrix Given a linear operator L on an inner product space V, the adjoint of L is a transformation
More informationFinite Frames and Graph Theoretical Uncertainty Principles
Finite Frames and Graph Theoretical Uncertainty Principles (pkoprows@math.umd.edu) University of Maryland - College Park April 13, 2015 Outline 1 Motivation 2 Definitions 3 Results Outline 1 Motivation
More informationConvexity of the Joint Numerical Range
Convexity of the Joint Numerical Range Chi-Kwong Li and Yiu-Tung Poon October 26, 2004 Dedicated to Professor Yik-Hoi Au-Yeung on the occasion of his retirement. Abstract Let A = (A 1,..., A m ) be an
More informationDS-GA 1002 Lecture notes 0 Fall Linear Algebra. These notes provide a review of basic concepts in linear algebra.
DS-GA 1002 Lecture notes 0 Fall 2016 Linear Algebra These notes provide a review of basic concepts in linear algebra. 1 Vector spaces You are no doubt familiar with vectors in R 2 or R 3, i.e. [ ] 1.1
More information1 Linear Algebra Problems
Linear Algebra Problems. Let A be the conjugate transpose of the complex matrix A; i.e., A = A t : A is said to be Hermitian if A = A; real symmetric if A is real and A t = A; skew-hermitian if A = A and
More informationPreconditioning of Frames
Preconditioning of Frames Gitta Kutyniok a, Kasso A. Okoudjou b, and Friedrich Philipp a a Technische Universität Berlin, Institut für Mathematik, Strasse des 17. Juni 136, 10623 Berlin, Germany b University
More informationSPECTRA OF FRAME OPERATORS WITH PRESCRIBED FRAME NORMS
SPECTRA OF FRAME OPERATORS WITH PRESCRIBED FRAME NORMS MARCIN BOWNIK AND JOHN JASPER Abstract. We study the set of possible finite spectra of self-adjoint operators with fixed diagonal. In the language
More informationDENSITY, OVERCOMPLETENESS, AND LOCALIZATION OF FRAMES. I. THEORY
DENSITY, OVERCOMPLETENESS, AND LOCALIZATION OF FRAMES. I. THEORY RADU BALAN, PETER G. CASAZZA, CHRISTOPHER HEIL, AND ZEPH LANDAU Abstract. This work presents a quantitative framework for describing the
More informationTHE KADISON-SINGER PROBLEM IN MATHEMATICS AND ENGINEERING
THE KADISON-SINGER PROBLEM IN MATHEMATICS AND ENGINEERING PETER G. CASAZZA AND JANET CRANDELL TREMAIN Abstract. We will see that the famous intractible 1959 Kadison-Singer Problem in C -algebras is equivalent
More informationSingular Value Decomposition (SVD) and Polar Form
Chapter 2 Singular Value Decomposition (SVD) and Polar Form 2.1 Polar Form In this chapter, we assume that we are dealing with a real Euclidean space E. Let f: E E be any linear map. In general, it may
More informationDuals of g-frames and g-frame Sequences
International Mathematical Forum, Vol. 8, 2013, no. 7, 301-310 Duals of g-frames and g-frame Sequences Mostafa Madadian Department of Mathematics, Tabriz Branch Islamic Azad University, Tabriz, Iran madadian@iaut.ac.ir
More informationThe University of Texas at Austin Department of Electrical and Computer Engineering. EE381V: Large Scale Learning Spring 2013.
The University of Texas at Austin Department of Electrical and Computer Engineering EE381V: Large Scale Learning Spring 2013 Assignment Two Caramanis/Sanghavi Due: Tuesday, Feb. 19, 2013. Computational
More informationMath 102, Winter Final Exam Review. Chapter 1. Matrices and Gaussian Elimination
Math 0, Winter 07 Final Exam Review Chapter. Matrices and Gaussian Elimination { x + x =,. Different forms of a system of linear equations. Example: The x + 4x = 4. [ ] [ ] [ ] vector form (or the column
More informationMATH 304 Linear Algebra Lecture 34: Review for Test 2.
MATH 304 Linear Algebra Lecture 34: Review for Test 2. Topics for Test 2 Linear transformations (Leon 4.1 4.3) Matrix transformations Matrix of a linear mapping Similar matrices Orthogonality (Leon 5.1
More informationShift Invariant Spaces and Shift Generated Dual Frames for Local Fields
Communications in Mathematics and Applications Volume 3 (2012), Number 3, pp. 205 214 RGN Publications http://www.rgnpublications.com Shift Invariant Spaces and Shift Generated Dual Frames for Local Fields
More informationElementary linear algebra
Chapter 1 Elementary linear algebra 1.1 Vector spaces Vector spaces owe their importance to the fact that so many models arising in the solutions of specific problems turn out to be vector spaces. The
More informationLinear Algebra Review. Vectors
Linear Algebra Review 9/4/7 Linear Algebra Review By Tim K. Marks UCSD Borrows heavily from: Jana Kosecka http://cs.gmu.edu/~kosecka/cs682.html Virginia de Sa (UCSD) Cogsci 8F Linear Algebra review Vectors
More informationLinear Algebra Massoud Malek
CSUEB Linear Algebra Massoud Malek Inner Product and Normed Space In all that follows, the n n identity matrix is denoted by I n, the n n zero matrix by Z n, and the zero vector by θ n An inner product
More information1. The Polar Decomposition
A PERSONAL INTERVIEW WITH THE SINGULAR VALUE DECOMPOSITION MATAN GAVISH Part. Theory. The Polar Decomposition In what follows, F denotes either R or C. The vector space F n is an inner product space with
More informationFrames inr n. Brody Dylan Johnson Department of Mathematics Washington University Saint Louis, Missouri
Frames inr n Brody Dylan Johnson Department of Mathematics Washington University Saint Louis, Missouri 63130 e-mail: brody@math.wustl.edu February, 00 Abstract These notes provide an introduction to the
More informationOle Christensen 3. October 20, Abstract. We point out some connections between the existing theories for
Frames and pseudo-inverses. Ole Christensen 3 October 20, 1994 Abstract We point out some connections between the existing theories for frames and pseudo-inverses. In particular, using the pseudo-inverse
More informationREPRESENTATION THEORY WEEK 7
REPRESENTATION THEORY WEEK 7 1. Characters of L k and S n A character of an irreducible representation of L k is a polynomial function constant on every conjugacy class. Since the set of diagonalizable
More informationPROJECTIONS AND THE KADISON-SINGER PROBLEM
PROJECTIONS AND THE KADISON-SINGER PROBLEM PETE CASAZZA, DAN EDIDIN, DEEPTI KALRA, AND VERN I. PAULSEN Abstract. We prove some new equivalences of the paving conjecture and obtain some estimates on the
More informationLecture notes on Quantum Computing. Chapter 1 Mathematical Background
Lecture notes on Quantum Computing Chapter 1 Mathematical Background Vector states of a quantum system with n physical states are represented by unique vectors in C n, the set of n 1 column vectors 1 For
More informationOn Frame Wavelet Sets and Some Related Topics
On Frame Wavelet Sets and Some Related Topics Xingde Dai and Yuanan Diao Abstract. A special type of frame wavelets in L 2 (R) or L 2 (R d ) consists of those whose Fourier transforms are defined by set
More informationREAL ANALYSIS II HOMEWORK 3. Conway, Page 49
REAL ANALYSIS II HOMEWORK 3 CİHAN BAHRAN Conway, Page 49 3. Let K and k be as in Proposition 4.7 and suppose that k(x, y) k(y, x). Show that K is self-adjoint and if {µ n } are the eigenvalues of K, each
More information2. Linear algebra. matrices and vectors. linear equations. range and nullspace of matrices. function of vectors, gradient and Hessian
FE661 - Statistical Methods for Financial Engineering 2. Linear algebra Jitkomut Songsiri matrices and vectors linear equations range and nullspace of matrices function of vectors, gradient and Hessian
More informationLINEAR ALGEBRA 1, 2012-I PARTIAL EXAM 3 SOLUTIONS TO PRACTICE PROBLEMS
LINEAR ALGEBRA, -I PARTIAL EXAM SOLUTIONS TO PRACTICE PROBLEMS Problem (a) For each of the two matrices below, (i) determine whether it is diagonalizable, (ii) determine whether it is orthogonally diagonalizable,
More informationarxiv: v1 [math.pr] 22 May 2008
THE LEAST SINGULAR VALUE OF A RANDOM SQUARE MATRIX IS O(n 1/2 ) arxiv:0805.3407v1 [math.pr] 22 May 2008 MARK RUDELSON AND ROMAN VERSHYNIN Abstract. Let A be a matrix whose entries are real i.i.d. centered
More informationChapter 6 Inner product spaces
Chapter 6 Inner product spaces 6.1 Inner products and norms Definition 1 Let V be a vector space over F. An inner product on V is a function, : V V F such that the following conditions hold. x+z,y = x,y
More informationRecall that any inner product space V has an associated norm defined by
Hilbert Spaces Recall that any inner product space V has an associated norm defined by v = v v. Thus an inner product space can be viewed as a special kind of normed vector space. In particular every inner
More informationMORE ON SUMS OF HILBERT SPACE FRAMES
Bull. Korean Math. Soc. 50 (2013), No. 6, pp. 1841 1846 http://dx.doi.org/10.4134/bkms.2013.50.6.1841 MORE ON SUMS OF HILBERT SPACE FRAMES A. Najati, M. R. Abdollahpour, E. Osgooei, and M. M. Saem Abstract.
More informationMath 307 Learning Goals. March 23, 2010
Math 307 Learning Goals March 23, 2010 Course Description The course presents core concepts of linear algebra by focusing on applications in Science and Engineering. Examples of applications from recent
More informationFinite and infinite dimensional generalizations of Klyachko theorem. Shmuel Friedland. August 15, 1999
Finite and infinite dimensional generalizations of Klyachko theorem Shmuel Friedland Department of Mathematics, Statistics, and Computer Science University of Illinois Chicago 322 SEO, 851 S. Morgan, Chicago,
More informationLecture notes: Applied linear algebra Part 1. Version 2
Lecture notes: Applied linear algebra Part 1. Version 2 Michael Karow Berlin University of Technology karow@math.tu-berlin.de October 2, 2008 1 Notation, basic notions and facts 1.1 Subspaces, range and
More informationA CONSTRUCTIVE APPROACH TO THE FINITE WAVELET FRAMES OVER PRIME FIELDS
Manuscript 1 1 1 1 0 1 0 1 A CONSTRUCTIVE APPROACH TO THE FINITE WAVELET FRAMES OVER PRIME FIELDS ASGHAR RAHIMI AND NILOUFAR SEDDIGHI Abstract. In this article, we present a constructive method for computing
More informationLinear Operators Preserving the Numerical Range (Radius) on Triangular Matrices
Linear Operators Preserving the Numerical Range (Radius) on Triangular Matrices Chi-Kwong Li Department of Mathematics, College of William & Mary, P.O. Box 8795, Williamsburg, VA 23187-8795, USA. E-mail:
More informationSemi-orthogonal wavelet frames on positive half-line using the Walsh Fourier transform
NTMSCI 6, No., 175-183 018) 175 New Trends in Mathematical Sciences http://dx.doi.org/10.085/ntmsci.018.83 Semi-orthogonal wavelet frames on positive half-line using the Walsh Fourier transform Abdullah
More informationAtomic decompositions of square-integrable functions
Atomic decompositions of square-integrable functions Jordy van Velthoven Abstract This report serves as a survey for the discrete expansion of square-integrable functions of one real variable on an interval
More informationOrthogonal Projection and Least Squares Prof. Philip Pennance 1 -Version: December 12, 2016
Orthogonal Projection and Least Squares Prof. Philip Pennance 1 -Version: December 12, 2016 1. Let V be a vector space. A linear transformation P : V V is called a projection if it is idempotent. That
More information