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SPECTRUM OF

J

-FRAME OPERATORS

Juan Giribet, Matthias Langer, Leslie Leben, Alejandra Maestripieri,

Francisco Martínez Pería, and Carsten Trunk

Communicated by P.A. Cojuhari

Abstract. A J-frame is a frameF for a Krein space (H,,·]) which is compatible with

the indefinite inner product [·,·] in the sense that it induces an indefinite reconstruction

formula that resembles those produced by orthonormal bases in H. With everyJ-frame

the so-calledJ-frame operator is associated, which is a self-adjoint operator in the Krein

spaceH. TheJ-frame operator plays an essential role in the indefinite reconstruction formula.

In this paper we characterize the class ofJ-frame operators in a Krein space by a 2×2 block

operator representation. TheJ-frame bounds ofF are then recovered as the suprema and

infima of the numerical ranges of some uniformly positive operators which are build from the entries of the 2×2 block representation. Moreover, this 2×2 block representation is

utilized to obtain enclosures for the spectrum ofJ-frame operators, which finally leads to the

construction of a square root. This square root allows a complete description of allJ-frames

associated with a givenJ-frame operator.

Keywords:frame, Krein space, block operator matrix, spectrum.

Mathematics Subject Classification:47B50, 47A10, 46C20, 42C15.

1. INTRODUCTION

Frame theory is a key tool in signal and image processing, data compression, and sampling theory, among other applications in engineering, applied mathematics, and computer sciences. The major advantage of a frame over an orthonormal, orthogo-nal, or Riesz basis is its redundancy: each vector admits several different reconstructions in terms of the frame coefficients. For instance, frames have shown to be useful in signal processing applications when noisy channels are involved, because a frame allows to reconstruct vectors (signals) even if some of the frame coefficients are missing (or corrupted); see [3,16,26].

c

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A frame for a Hilbert space (H,,·i) is, in general, a redundant (overcomplete)

family of vectorsF ={fi}i∈I inHfor which there exists a pair of positive constants

0< αβ such that

αkfk2≤X

i∈I

| hf, fii |2≤βkfk2 for every f ∈ H. (1.1)

Note that these inequalities establish an equivalence between the norm of the vector

f ∈ Hand the`2-norm of its frame coefficients{hf, fii}iI.

Every frame F for H has an associated frame operator S : H → H, which is

uniformly positive (i.e. positive definite and boundedly invertible) inH, and it allows

to reconstruct eachf ∈ Has follows:

f =X iI

hf, fiiS−1fi=

X

iI

f, S−1fi

fi.

Given a uniformly positive operatorS:H → Hit is possible to describe the complete

family of frames whose frame operator isS. Indeed, ifF={fi}i∈I is a frame forHthen

the upper bound in (1.1) implies that the so-called synthesis operatorT :`2(I)→ H,

T x=X iI

hx, eiifi,

is bounded, where{ei}iI is the standard orthonormal basis in`2(I). Then its frame

operator isS if and only if

S=T T.

Therefore,S is the frame operator ofF if and only if the (left) polar decomposition of T can be written as

T =S1/2V,

for some co-isometry V : `2(I) → H; see for instance [10, Corollary 2.15]. Hence,

the family of frames whose frame operator is S is in a one-to-one correspondence

with the family of co-isometries onto the Hilbert spaceH. Also, note that this descrip-tion is possible due to the existence of a (positive) square root ofS.

Recently, various approaches to introduce frame theory on Krein spaces have been suggested; see [12, 13, 23]. In the current paper we further investigate the notion of

J-frames that was proposed in [13]. This concept was motivated by a signal processing

problem, where signals are disturbed with the same energy at high and low band frequencies; see the discussion at the beginning of Section 3 in [13].

Given a Bessel family (that is a family which satisfies the upper bound in (1.1)) of vectors F = {fi}iI in a Krein space (H,,·]), we divide it in a family F+ =

{fi}iI+ of non-negative vectors in Hand a familyF−={fi}iI− of negative vectors

inH. Roughly speaking,F ={fi}iI is aJ-frame for (H,,·]) if the ranges of the

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positive subspace and a maximal uniformly negative subspace ofH, respectively (see

Subsection 2.3 for further details). In particular, it is immediate that orthonormal bases in Krein spaces areJ-frames as they generate maximal dual pairs [2, Section 1.10].

Each J-frame for (H,[·,·]) is also a frame (in the Hilbert space sense) for H.

Moreover, F+ = {fi}i∈I+ and F− = {fi}i∈I− are frames for the Hilbert spaces

(R(T+),[·,·]) and (R(T−),−[·,·]), respectively. However, it is easy to construct frames

forHwhich are notJ-frames; see [13, Example 3.3].

For eachJ-frame forHone can define aJ-frame operator S:H → H(see (1.2)

below), which is a bounded and boundedly invertible self-adjoint operator in (H,,·]).

It can be used to describe every vector inHin terms of the frame vectorsF={fi}iI:

f =X i∈I

σif, S−1fifi=

X

i∈I

σi[f, fi]S−1fi, f ∈ H,

whereσi= sgn [fi, fi]. This is known as the indefinite reconstruction formula associated

withFsince it resembles the reconstruction formula provided by an orthonormal basis

in a Krein space.

IfT :`2(I)→ His the synthesis operator ofF, thenS is given by

S=T T+, (1.2)

whereT+ stands for the adjoint of T with respect to [·,·]. Hence, given a J-frame

operatorS in (H,[·,·]), it is natural to look for descriptions of the family of J-frames

whoseJ-frame operator is S. This is a non-trivial problem due to several reasons.

First, the existence of a square root of a self-adjoint operator in a Krein space depends on the location of its spectrum. Some characterizations ofJ-frame operators

can be found in [13, Subsection 5.2], but none of them guarantees the existence of a square root.

Second, in general there is no polar decomposition for linear operators acting between Krein spaces; see [5,20–22].

The aim of this work is to obtain a deeper insight on J-frame operators, in

particular, to obtain enclosures for the spectrum of a J-frame operator and a full

description of theJ-frames associated with a prescribed J-frame operator. The two

main results of the paper are the following.

(i) The spectrum of aJ-frame operator is always contained in the open right half-plane

with a positive distance to the imaginary axis. This distance can be estimated in terms of the J-frame bounds.

(ii) Due to the location of the spectrum according to item (i), there exists a square root of a J-frame operator. This enables one to show that there is a bijection between

all co-isometries and allJ-frames with the sameJ-frame operator.

The paper is organized as follows. Section 2 contains preliminaries both on frames for Hilbert spaces and for Krein spaces. There we recall the notions ofJ-frames and J-frame operators, and we present some known results.

In Section 3, given a bounded self-adjoint operator S acting in a Krein space

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a suitable fundamental decomposition) such that their entries have some particular properties. For instance, we prove thatS is aJ-frame operator if and only if there

exists a fundamental decompositionH=H+[u]H− such that

S =

A AK KA D

,

whereAis uniformly positive in the Hilbert space (H+,[·,·]),K:H−→ H+ satisfies

kKk<1, andD is a self-adjoint operator such thatD+KAK is uniformly positive

in the Hilbert space (H−,−[·,·]); see Theorem 3.1 below. Also, a dual representation

is given in Theorem 3.2 below, where the roles of the operators in the diagonal of the block operator matrix are interchanged. Using these two representations we describe the inverse ofS and the positive operatorsS±, which are defined in (2.8) below and

satisfyS=S+−S−.

Given aJ-frameF={fi}iI for a Krein space (H,,·]), theJ-frame bounds of

F are the two pairs of frame bounds associated withF+ andF− as frames for the

Hilbert spaces (R(T+),,·]) and (R(T−),−[·,·]), respectively. In Section 4 we recover

theJ-frame bounds of F as spectral bounds for theJ-frame operatorS associated

withF. More precisely, we describe theJ-frame bounds ofF in terms of suprema and

infima of the numerical ranges of the uniformly positive entries in the block operator matrix representations discussed above.

In Section 5 we use the representations obtained in Section 3 to prove enclosures for the real part and the non-real part of the spectrum of a J-frame operator S.

In particular, we show that the spectrum of aJ-frame operator is always contained in

the right half-plane{z∈C: Rez >0}. Moreover, given aJ-frameF ={fi}iI with J-frame operatorS, we describe the spectral enclosures ofS in terms of theJ-frame

bounds ofF.

Finally, in Section 6 we use the Riesz–Dunford functional calculus to obtain the square root of aJ-frame operator. We characterize the family of allJ-frames forH

whoseJ-frame operator isS. More precisely, the synthesis operatorT :`2(I)→ Hof

a J-frameF satisfiesT T+=S if and only if

T=S1/2U,

whereS1/2 is the square root ofS andU :`2(I)→ His a co-isometry between Krein

spaces. Hence, there is a bijection between all co-isometries and all J-frames with

the sameJ-frame operator.

2. PRELIMINARIES

WhenHandKare Hilbert spaces, we denote byL(H,K) the vector space of bounded

linear operators fromHintoK and byL(H) =L(H,H) the algebra of bounded linear

operators acting onH.

ForT L(H) we denote byσ(T) andσp(T) the spectrumand the point spectrum

ofT, respectively. Moreover, we denote byN(T),R(T) andW(T) thekernel, therange

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Given two closed subspaces MandN ofH, hereafterMuN denotes their direct

sum. Moreover, in case thatH=MuN, we denote the (unique) projection with

range Mand kernelN byPM//N. In particular, ifN =M⊥ thenPM =PM//M⊥

denotes the orthogonal projection ontoM.

2.1. FRAMES FOR HILBERT SPACES

We recall the standard notation for frames for Hilbert spaces and some basic results; see, e.g. [6–8,15].

Aframefor a Hilbert spaceHis a family of vectorsF={fi}i∈I,fi∈ H, for which

there exist constants 0< αβ <∞such that

αkfk2≤X

iI

|hf, fii|2≤βkfk2 for everyf ∈ H. (2.1)

The optimal constants (maximal forαand minimal forβ) are called thelower and

theupper frame bounds ofF, respectively.

If a family of vectors F ={fi}iI satisfies the upper bound condition in (2.1),

then F is a Bessel family. For a Bessel family F ={fi}iI the synthesis operator T L(`2(I),H) is defined by

T x=X iI

hx, eiifi, x`2(I),

where{ei}i∈I is the standard orthonormal basis of`2(I). A Bessel familyF is a frame

for Hif and only if T is surjective. In this case, the operator S :=T TL(H) is

uniformly positive and calledframe operator. It can easily be verified that

Sf =X iI

hf, fiifi for everyf ∈ H. (2.2)

This implies that the frame bounds of F can be computed as α = kS−1k−1 and β=kSk.

From (2.2) it is also easy to obtain theframe reconstruction formula for vectors in H:

f =X i∈I

f, S−1fifi =

X

i∈I

hf, fiiS−1fi for everyf ∈ H;

and the frame{S−1fi}iI is called thecanonical dual frame ofF.

2.2. KREIN SPACES

We recall the standard notation and some basic results on Krein spaces. For a complete exposition on the subject (and the proofs of the results below) see the books by Azizov and Iokhvidov [2] and Bognár [4]; see also [1,11,17,25].

A vector space Hwith a Hermitian sesquilinear form [·,·] is called aKrein space

if there exists a so-calledfundamental decomposition

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which is the direct (and orthogonal with respect to [·,·]) sum of two Hilbert spaces

(H+,,·]) and (H−,−[·,·]). These two Hilbert spaces induce in a natural way a Hilbert

space inner producth·,·iand, hence, a Hilbert space topology onH. Observe that the

indefinite metric [·,·] and the Hilbert space inner product,·iof Hare related by

means of afundamental symmetry, i.e. a unitary self-adjoint operatorJ L(H) that

satisfies

hx, yi= [Jx, y] for x, y∈ H.

Although the fundamental decomposition is not unique, the norms induced by different fundamental decompositions turn out to be equivalent; see, e.g. [18, Proposition I.1.2]. Therefore, the (Hilbert space) topology inHdoes not depend on the chosen

funda-mental decomposition.

If HandK are Krein spaces and T L(H,K), the adjoint operator of T is the

unique operatorT+L(K,H) satisfying

[T x, y] = [x, T+y] for everyx∈ H,y∈ K.

An operator TL(H) is self-adjoint in a Krein space (H,,·]) if T = T+. The

spectrum of such an operatorT is symmetric with respect to the real axis.

Let (H,,·]) be a Krein space. A vector x ∈ H is called positive if [x, x] > 0, negative if [x, x]<0 andneutral if [x, x] = 0. A subspaceL ofHispositive if every x∈ L \ {0} is a positive vector. A subspaceLofHisuniformly positive if there exists α >0 such that [x, x]αkxk2for every x∈ L, wherek · kstands for the norm of the

associated Hilbert space (H,,·i).Non-negative,neutral,negative, non-positiveand uniformly negative subspacesare defined analogously.

Given a subspace Mof (H,[·,·]), theorthogonal companion ofMis defined by

M[⊥]:={x∈ H: [x, m] = 0, for everym∈ M}.

Theisotropic partofM,M◦:=M ∩ M[⊥], can be a non-trivial subspace. A subspace

MofHisnon-degenerateifM◦={0}. Otherwise, it is adegeneratesubspace of H.

A subspace M of H is regular if MuM[⊥] = H. The subspace M is

reg-ular if and only if there exists a (unique) self-adjoint projection E onto M; see,

e.g. [2, Theorem 1.7.16].

2.3. FRAMES FOR KREIN SPACES

Recently, there have been various approaches to introduce frame theory on Krein spaces; see [12, 13, 23]. In the following we recall the notion of J-frames introduced

in [13]. Some particular classes ofJ-frames where also considered in [14].

Let (H,,·]) be a Krein space, let F = {fi}iI be a Bessel family in H with

synthesis operator T : `2(I) → H, and set I+ := {iI : [fi, fi] ≥ 0} and I−:={iI: [fi, fi]<0}. Further, consider the orthogonal decomposition of `2(I)

induced by the partition of I,

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denote by P± the orthogonal projections onto `2(I±), respectively, and set T±:=T P±, i.e.

T±x=

X

iI±

hx, eiifi, x`2(I). (2.4)

The following sets play an important role in the following:

M±:= span{fi: iI±}. (2.5)

They are related to the ranges ofT+ andT− as follows:

span{fi: iI±} ⊆R(T±)⊆ M±.

The ranges ofT+ andT− also satisfyR(T) =R(T+) +R(T−) and play an essential

role in the definition ofJ-frames.

Definition 2.1. LetF ={fi}i∈I be a Bessel family in a Krein spaceHand letT± be

as in (2.4). ThenF is called aJ-frame forHifR(T+) is a maximal uniformly positive

subspace andR(T−) is a maximal uniformly negative subspace ofH.

IfF is aJ-frame forH, then, R(T±) =M± and

R(T) =R(T+)uR(T−) =M+uM−=H, (2.6)

where the last equality follows from [2, Corollary 1.5.2]. Thus,F is also a frame for

the Hilbert space (H,,·i). Moreover, it is easy to see thatF±:={fi}i∈I± is a frame

for the Hilbert space (M±,±[·,·]).

The following is a characterization of J-frames in terms of frame inequalities;

see [13, Theorem 3.9].

Theorem 2.2. LetF={fi}iI be a frame forH. ThenF is aJ-frame if and only if

M± (defined as in (2.5)) are non-degenerate subspaces ofHand there exist constants

0< α±β± such that

α±(±[f, f])≤

X

iI±

[f, fi]

2β±(±[f, f]) for everyf ∈ M±. (2.7)

When F={fi}iI is aJ-frame forH, we endow the coefficient space`2(I) with

the following indefinite inner product:

[x, y]2:= X iI+

xiyi

X

iI

xiyi, x= (xi)iI, y= (yi)iI`2(I).

Then, (`2(I),,·]2) is a Krein space and (2.3) is a fundamental decomposition of`2(I).

Now, ifT :`2(I)→ His the synthesis operator ofF, its adjoint (in the sense of Krein

spaces) is given by

T+f = X iI+

[f, fi]ei

X

iI

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Definition 2.3. Given aJ-frameF={fi}iI forH, theJ-frame operator S:H → H

associated withF is defined by

Sf :=T T+f = X i∈I+

[f, fi]fi

X

i∈I

[f, fi]fi, f ∈ H.

It is easy to see thatS is a bounded and boundedly invertible self-adjoint operator S in the Krein spaceH. We also introduce the positive operatorsS± by

S±f :=

X

iI±

[f, fi]fi, f ∈ H, (2.8)

which are non-negative operators inHsince

[S±f, f] =

X

iI±

|[f, fi]|2 for every f ∈ H. (2.9)

Clearly, theJ-frame operator can be written asS=S+S−; hence it is the difference

of two positive operators. The operators S and S± are related via the projection Q:=PM+//M− and its adjointQ

+=P

M[⊥]//M[+⊥] as follows:

QS=S+=SQ+ and (IQ)S=−S−=S(IQ)+. (2.10)

Therefore, we have thatR(S±) =M± and

S(M[⊥]) =M+, S(M[+⊥]) =M−. (2.11)

Finally, the class of J-frame operators can be characterized in the following way;

see [13, Proposition 5.7].

Theorem 2.4. A bounded and boundedly invertible self-adjoint operator S in a Krein spaceHis aJ-frame operator if and only if the following conditions are satisfied:

(i) there exists a maximal uniformly positive subspaceL+ of Hsuch thatS(L+)is also maximal uniformly positive;

(ii) [Sf, f]≥0 for everyf ∈ L+;

(iii) [Sg, g]≤0for every g∈(S(L+))[⊥].

Remark 2.5. IfF ={fi}iI is aJ-frame forHwithJ-frame operatorS andM±

are given by (2.5), then M[−⊥] is a maximal uniformly positive subspace satisfying

conditions (i)–(iii) in Theorem 2.4. In fact, (i) follows from (2.11). Moreover, since

N(S) =R(S)[⊥]=M[⊥]

− , we have for f ∈ M[−⊥]:

[Sf, f] = [S+f, f] = X iI+

|[f, fi]|2≥0;

see (2.9). Analogously,S M[⊥][⊥]=M+[⊥]=N(S+) and ifg∈ M[+⊥] then

[Sg, g] = [Sg, g] =X i∈I

|[g, fi]|2≤0.

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If S is a J-frame operator, thenS−1 is also aJ-frame operator. More precisely,

the following proposition is true; see [13, Proposition 5.4].

Proposition 2.6. If F={fi}iI is aJ-frame for HwithJ-frame operatorS, then

F0 ={S−1f

i}iI is also a J-frame forH. Furthermore,

sgn(S−1fi, S−1fi) = sgn([fi, fi]) for everyiI,

the J-frame operator ofF0 isS−1 and, ifM

± are given by (2.5), then

span{S−1fi: iI

±}=M[∓⊥].

3. OPERATOR MATRIX REPRESENTATIONS FORJ-FRAME OPERATORS

In the following we describe J-frame operators via 2×2 block operator matrices.

Let (H,,·]) be a Krein space with fundamental decomposition

H=H+[+]. H−.

Every bounded operatorS in Hcan be written as a block operator matrix

S=

A B

C D

(3.1)

with bounded operators

AL(H+), BL(H−,H+), CL(H+,H−), DL(H−).

An operator of the form (3.1) is self-adjoint in the Krein spaceHif and only ifAandD

are self-adjoint in the Hilbert spaces (H+,,·]) and (H−.−[·,·]), respectively, and C=B.

Theorem 3.1. Let S be a bounded self-adjoint operator in a Krein space (H,[·,·]). Then,S is a J-frame operator if and only if there exists a fundamental decomposition

H=H+[ .

+]H−, (3.2)

such that S admits a representation with respect to (3.2)of the form

S=

AAK KA D

(3.3)

whereAis a uniformly positive operator in the Hilbert space(H+,[·,·]), K:H−→ H+ is a uniform contraction (i.e. kKk<1), and D is a self-adjoint operator such that D+KAK is uniformly positive in the Hilbert space(H

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Proof. First, assume thatSis aJ-frame operator and consider aJ-frameF={fi}iI

for H with synthesis operator T : `2(I)→ H such that S = T T+. Let M± be as

in (2.5). By [2, Corollary 1.8.14], the subspaceM[−⊥] is maximal uniformly positive

and the pairM[−⊥], M− form a fundamental decomposition ofH:

H=M[−⊥][ .

+]M−. (3.4)

Since S is a bounded self-adjoint operator in the Krein space (H,,·]), there

exist bounded self-adjoint operatorsAandD in the Hilbert spaces (M[⊥],[·,·]) and

(M−,−[·,·]), respectively, andB:M−→ M[−⊥] such that

S=

A B

BD

with respect to the fundamental decomposition (3.4).

We represent the maximal uniformly definite subspacesM[⊥]

+ andM+with the help

of an angular operator with respect to the fundamental decomposition (3.4), i.e. an operatorK:M− → M[−⊥] withkKk<1 such that

M[+⊥]=Kx−+xx−∈ M− and M+={x++Kx+|x+∈ M[−⊥]}; (3.5)

see, e.g. [2, Theorem 1.8.11].

Since S maps M[⊥] onto M+ (see (2.11)), for every x ∈ M[−⊥] there exists x+∈ M[−⊥] such that

A B

BD x

0

= Ax

Bx

= x+

Kx+

(see (3.5)), i.e. Ax = x+ and −Bx = KAx. Since this holds for all x ∈ M[−⊥],

we obtain

B∗=KA and hence B =AK,

which proves (3.3).

The operatorSis boundedly invertible (see, e.g. [13, Proposition 5.2]) and therefore

the range ofS equalsH=M[−⊥][ .

+]M−. From the first row in (3.3) we conclude that

the range ofAequalsM[−⊥]. Since Ais self-adjoint, this implies thatAis boundedly

invertible.

Moreover, by Remark 2.5, the subspace M[−⊥] satisfies conditions (i)–(iii) in

Theorem 2.4. In particular, condition (ii) in Theorem 2.4 says that, forx∈ M[−⊥],

0≤[Sx, x] =

AAK KA D

x

0

,

x

0

= [Ax, x],

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Next, let x ∈ M. ThenKx+x∈ M[+⊥] and

AAK KA D

Kxx

=( 0

KAK+D)x

.

SinceS(M[+⊥]) =M−(see (2.11)), this shows thatKAK+D is a surjective operator

and hence boundedly invertible (as it is self-adjoint). Moreover, condition (iii) in Theorem 2.4 states forx−∈ M−,

0≥

AAK KA D

Kxx, Kxx

=(KAK+D)x, x,

which proves thatD+KAK is uniformly positive in (M

,−[·,·]).

Conversely, assume thatSadmits a block operator matrix representation as in (3.3),

with respect to the fundamental decomposition (3.2). Note thatS is a boundedly

invertible operator because

S=

AAK KA D

=KI 0I A0 D+K0AK I0IK,

and the three block operator matrices on the right-hand side are boundedly invertible. The spaceH+ is uniformly positive. Forx+∈ H+ we have

A AK KA D

x+

0

= Ax+

KAx+

.

Obviously,S mapsH+ into the uniformly positive subspace{x++Kx+|x+ ∈ H+}.

Moreover, forx+∈ H+ it follows that

AAK KA D

x+ 0 , x+ 0

= [Ax+, x+]≥0

sinceAis positive. In a similar manner, using the positivity ofKAK+Dwe obtain for

x∈ {x++Kx+|x+∈ H+}[⊥] ={Kx−+x−|x−∈ H−}

the estimate

AAK KA D

Kxx, Kxx

= [(KAK+D)x, x−]≤0.

Therefore, by Theorem 2.4 the operatorS is a J-frame operator.

Given aJ-frameF forH, considerM± as in (2.5). The block operator

represen-tation in Theorem 3.1 is based on the fundamental decomposition (3.4) determined by M−. Obviously, the subspaceM+ leads in the same way to a fundamental

decom-position:

H=M+[u]M[+⊥]. (3.6)

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Theorem 3.2. Let S be a bounded self-adjoint operator in a Krein space (H,[·,·]). Then,S is a J-frame operator if and only if there exists a fundamental decomposition

H=K+[ .

+]K−, (3.7)

such that S admits a representation with respect to (3.7)of the form

S=

A0 LD0

D0LD0

(3.8)

whereA0is a self-adjoint operator such thatA0+LD0Lis a uniformly positive operator in the Hilbert space (K+,,·]),L:K− → K+ is a uniform contraction (i.e.kLk<1), andD0 is uniformly positive in the Hilbert space (K

,−[·,·]).

Proof. Assume thatF ={fi}i∈I is aJ-frame forHwithJ-frame operator S.

Con-sider the maximal uniformly definite subspacesM± given by (2.5), the fundamental

decomposition

H=M+[u]M[+⊥],

and the angular operator L : M[+⊥] → M+ associated with M−. Since S maps

M[+⊥] ontoM− (see (2.11)), the representation (3.8) follows in the same way as the

representation (3.3) was proved in Theorem 3.1. The converse also follows the same ideas used in Theorem 3.1.

As it was mentioned before, if F is aJ-frame forH, the subspacesM± given in

(2.5) are maximal uniformly definite subspaces with opposite signature and Hcan be

decomposed asH=M+uM−; see (2.6). Observe that the projectionQ=PM+//M−

has the following block operator matrix representation with respect to the fundamental decomposition (3.4):

Q=

I 0 K0

, (3.9)

whereK:M− → M−[⊥] is the angular operator associated withM[+⊥]. On the other

hand, with respect to the fundamental decomposition (3.6),Qis represented as

Q=

I L

0 0

, (3.10)

whereL:M[+⊥]→ M+ is the angular operator associated with M−.

Corollary 3.3. Let F={fi}i∈I be a J-frame forHwithJ-frame operatorS, let S± be as in (2.8), and letM± be as in (2.5). Then the following statements are true.

(i) With respect to the fundamental decomposition (3.4), the positive operatorsS+ andS are represented as

S+=

A AK

KAKAK

and S− =

0 0

0 −(D+KAK)

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(ii) With respect to the fundamental decomposition (3.6), the positive operatorsS+ andSare represented as

S+=

A0+LD0L0

0 0

and S=

LD0LLD0 D0LD0

. (3.12)

Proof. The positive operators S+ and S− can be written as S+ = QS and S−=−(IQ)S, whereQ=PM+//M−; see (2.10). Then the block operator matrix

representations ofS+ andS− follow easily by multiplying (3.9) with (3.3), and (3.10)

with (3.8), respectively.

Finally, ifS is aJ-frame operator, we derive block operator matrix representations

for its inverseS−1.

Theorem 3.4. Let S be a bounded and boundedly invertible self-adjoint operator acting on a Krein space(H,[·,·]). Then, the following conditions are equivalent:

(i) S is aJ-frame operator;

(ii) there exists a fundamental decomposition H = H+[u]H− such that S−1 is represented as

S−1=

A−1−KZKKZ

ZKZ

, (3.13)

where A is a uniformly positive operator in the Hilbert space (H+,[·,·]), Z is a uniformly positive operator in the Hilbert space(H,−[·,·])andK:H−→ H+ is a uniform contraction;

(iii) there exists a fundamental decomposition H = K+[u]K− such that S−1 is represented as

S−1=

YY L

LY (D0)−1−LY L

, (3.14)

where D0 is a uniformly positive operator in the Hilbert space (K

,−[·,·]),Y is a uniformly positive operator in the Hilbert space (K+,,·]) and L:K− → K+ is a uniform contraction.

Proof. First, we prove the equivalence of (i) and (ii). By Theorem 3.1,S is aJ-frame

operator if and only if there exists a fundamental decompositionH=H+[u]H− such

thatS is represented as (3.3), whereAis a uniformly positive operator in the Hilbert

space (H+,,·]),D is a self-adjoint operator in the Hilbert space (H−,−[·,·]) such

thatD+KAK is uniformly positive, andK:H

−→ H+withkKk<1.

Observe that the representation of S in (3.3) can be written as

S =

I 0 KI

A 0

0 D+KAK

IK

0 I

.

Hence, ifZ := (D+KAK)−1,S is a J-frame operator if and only if

S−1=

I K

0 I

A−1 0

0 Z

I 0

KI

=A−1−KZKKZ

ZKZ

,

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The proof of the equivalence of (i) and (iii) is similar, where one uses thatS can

be represented as in (3.8) in Theorem 3.2 and one definesY := (A0+LD0L)−1. Remark 3.5. It follows from Proposition 2.6 that ifS:H → His aJ-frame operator,

thenS−1is also aJ-frame operator. Moreover, the representation ofS−1in (3.13) uses

the components of the representation ofS in (3.3); note that, according to the proof, Z = (D+KAK)−1. However, (3.13) is of the form as in (3.8) in Theorem 3.2 because

with the notation from that theorem one has thatD0=Zis uniformly positive,L=K

is a uniform contraction,A0 =A−1−KZK∗ satisfies

A0+LD0L∗= (A−1−KZK∗) +KZK∗=A−1,

and, hence,A0+LD0L∗ is uniformly positive.

Similarly, the representation of S−1 in (3.14) uses the components of the

repre-sentation of S in (3.8) withY = (A0+LD0L∗)−1, and the representation ofS−1 is

of the form as in (3.3).

4. INTERPRETING THEJ-FRAME BOUNDS AS SPECTRAL BOUNDS

OF THEJ-FRAME OPERATOR

Let F = {fi}i∈I be a J-frame for H and let M± be as in (2.5). By Theorem 2.2,

F±={fi}i∈I± is a frame for (M±,±[·,·]), i.e. there exist 0< α±≤β± such that

α±(±[f, f]) X i∈I± [f, fi]

2β±(±[f, f]) for everyf ∈ M±,

cf. (2.7). The frame bounds ofF± (i.e. the optimal set of constants 0< α±≤β±) are

called theJ-frame bounds ofF.

It is our aim to recover the J-frame bounds of F as spectral bounds for the J-frame operatorS. Moreover, we recover also theJ-frame bounds of the dualJ-frame

F0 ={S−1f

i}i∈I. This is achieved in a straightforward approach by using the 2×2

block operator matrix representations forS,S± andS−1from Section 3.

Proposition 4.1. Let 0 < α± ≤ β± be the J-frame bounds of the J-frame F. If the J-frame operatorS is represented as in (3.3), then

α−= inf W(D+KAK) and β− = supW(D+KAK).

If the J-frame operatorS is represented as in (3.8), then

α+= inf W(A0+LD0L∗) and β+= sup W(A0+LD0L∗).

Proof. Iff ∈ M− then, by (2.9) and (3.11),

X

iI

[f, fi]

2= [Sf, f] =

0 0

0 D+KAK f0

,

0

f

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As F− = {fi}iI− is a frame for (M−,−[·,·]) with frame bounds 0 < α− ≤ β−,

it is immediate that inf W(D+KAK) =α

− and supW(D+KAK) =β−.

Similarly, if f ∈ M+ then, by (2.9) and (3.12),

X

iI+

[f, fi]2= [S+f, f] =

A0+LD0L∗ 0

0 0 f0

,

f

0

= [(A0+LD0L∗)f, f].

Since F+ = {fi}i∈I+ is a frame for (M+,,·]) with frame bounds 0 < α+ ≤ β+,

it follows that inf W(A0+LD0L) =α+ and supW(A0+LD0L) =β+.

In what follows, we derive formulae for the J-frame bounds of the canonical dual J-frame F0 = {S−1f

i}iI. Recall that it is also a J-frame for H, and its J-frame

operator is S−1; see Proposition 2.6. In addition,F0

± ={S−1fi}iI± is a frame for

(M[∓⊥],±[·,·]), i.e. there exist constants 0< γ± ≤δ± such that

γ±(±[f, f]) X i∈I±

f, S−1fi 2≤δ±(±[f, f]) for everyf ∈ M[∓⊥].

The optimal set of constants 0< γ±≤δ± are theJ-frame bounds ofF0.

Proposition 4.2. Let F be a J-frame for H with J-frame operator S, and let

0< γ±≤δ± be theJ-frame bounds of the canonical dualJ-frameF0. If theJ-frame operator S is represented as in (3.3), then

γ+= inf W(A−1) and δ+= supW(A−1).

If the J-frame operatorS is represented as in (3.8), then

γ−= inf W((D0)−1) and δ−= supW((D0)−1).

Proof. TheJ-frame operatorS−1can be written asS−1= (S−1)+−(S−1)−, where

(S−1)+ =Q+S−1 and (S−1)−=−(IQ)+S−1 are positive operators in the Krein

spaceH; see (2.10).

Also, if S is represented as in (3.3) then, by Remark 3.5, S−1 is represented

as in (3.13). Moreover, following the same arguments as in Corollary 3.3 it can be proved that

(S−1)+ =

A−1 0

0 0

and (S−1)−=

KZKKZ ZKZ

.

Iff ∈ M[⊥] then, by (2.9) and the above representation for (S−1)+,

X

iI+

f, S−1fi 2

=(S−1)+f, f=

A−1 0

0 0 f0

,

f

0

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As{S−1f

i}iI+ is a frame for (M[−⊥],,·]) with frame bounds 0< γ+≤δ+, it follows

that inf W(A−1) =γ+ and supW(A−1) =δ+.

On the other hand, if the J-frame operator S is represented as in (3.8) then,

by Remark 3.5,S−1is represented as in (3.14). Then,

(S−1)+=

Y Y L LY LY L

and (S−1)=

0 0

0 −(D0)−1

,

and, since{S−1fi}iI is a frame for (M+[⊥],−[·,·]) with frame bounds 0< γ−≤δ−,

the characterization ofγ− andδ− follows.

5. SPECTRUM OF THEJ-FRAME OPERATOR

In Theorem 5.1 below we describe the location of the spectrum ofS. In its proof we

use the first and second Schur complements ofS according to the representations ofS

given in Theorems 3.2 and 3.1, respectively.

Let S be a J-frame operator in a Krein space (H,,·]) and assume first that H=H+[u]H− is a fundamental decomposition such thatS is decomposed as in (3.3)

in Theorem 3.1. In this case we use the second Schur complement of S, which is

defined as

S2(λ) :=Dλ+KA(Aλ)−1AK, λρ(A).

Onρ(A) the spectra of the operator functionS2(λ) and the operatorS coincide, i.e.

0∈σ(S2(λ)) ⇐⇒ λσ(S) for λρ(A); (5.1)

see, e.g. [27, Proposition 1.6.2].

Since AandD+KAK are uniformly positive in the Hilbert spaces (H+,[·,·])

and (H−,−[·,·]), respectively, their numerical rangesW(A) andW(D+KAK) are

intervals in (0,+∞). Also D is self-adjoint in the Hilbert space (H−,−[·,·]); so its

numerical rangeW(D) is a real interval.

On the other hand, ifH=K+[u]K− is a fundamental decomposition ofHsuch

thatS is decomposed as in (3.8) in Theorem 3.2, we use the first Schur complement

ofS, which is defined as

S1(λ) :=A0−λ+LD0(D0−λ)−1D0L, λρ(D0).

Onρ(D0) the spectra of the operator function S1(λ) and the operatorS coincide, i.e.

0∈σ(S1(λ)) ⇐⇒ λσ(S) for λρ(D0);

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Theorem 5.1. Let S be aJ-frame operator in the Krein space(H,[·,·]).

(i) Let S be decomposed as in (3.3) and assume that W(A) = [a, a+], W(D) = [d, d+], and W(D+KAK) = [b, b+]. Then, the spectrum of S sat-isfies the following inclusions:

σ(S)\R

λC : |λa+|< a+ and Reλ > b2

, (5.2)

σ(S)∩R⊆min{a, b−},max{a+, d+}. (5.3)

(ii) Let S be decomposed as in (3.8) and assume that W(A0) = [a0 −, a0+], W(D0) = [d0

, d0+], and W(A0+LD0L∗) = [b0−, b0+]. Then, the spectrum of S satisfies the following inclusions:

σ(S)\R

λC : |λd+0 |< d0+ and Reλ > b 0 −

2

, (5.4)

σ(S)Rmin{d0, b0},max{a0+, d0+}.

Proof. To prove (i), let us rewriteS2(λ) as follows:

S2(λ) =Dλ+KA(Aλ)−1(Aλ+λ)K

=Dλ+KAK+λKA(Aλ)−1K

=D+KAKλ(IKK) +λ2K∗(Aλ)−1K.

Hence, for g∈ H− withkgk= 1 we obtain

S2(λ)g, g=(D+KAK)g, gλ 1− kKgk2+λ2(Aλ)−1Kg, Kg (5.5)

=(D+KAK)g, gλ 1− kKgk2

+λ2A(Aλ)−1Kg,(Aλ)−1Kgλ|λ|2(Aλ)−1Kg2. (5.6)

First, we show that

−∞,min{a, b}ρ(S). (5.7)

Letλ∈ −∞,min{a, b−}. Thenλρ(A) and (Aλ)−1 is positive. Therefore (5.5)

yields

S2(λ)g, g≥(D+KAK)g, gλ 1− kKgk2

b−−λ 1− kKgk2≥b−−max{λ,0} 1− kKgk2

b−−max{λ,0}>0

for every g ∈ H with kgk = 1. This implies that 0 is not in the closure of the

numerical range ofS2(λ) and hence 0∈ρ(S2(λ)). By (5.1) this shows thatλρ(S).

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In [19, Theorem 2.1] it was shown that σ(S)Rmin{a, d},max{a+, d+}.

SinceAis a uniformly positive operator,

d−= minW(D)≤minW(D+KAK) =b.

This, together with (5.7) shows (5.3). Next, we show that

σ(S)\R⊆λ∈C\R : |λa+|< a+}. (5.8)

Letλ=x+iy be in the complement of the right-hand side of (5.8) and assume that λis non-real, i.e.y6= 0 and

x2−2a+x+y2≥0. (5.9)

Since the spectrum ofS is symmetric with respect to the real axis, we may assume,

without loss of generality, thaty >0. Consider the spectral functionEtassociated

with the (positive) operatorA:

A= a+

Z

a

tdEt.

Then, we can rewrite some terms that appear in (5.6) in terms ofEt:

A(Aλ)−1Kg,(Aλ)−1Kg= a+

Z

a t

|tλ|2dhEtKg, Kgi,

(Aλ)−1Kg2= a+

Z

a

1

|tλ|2dhEtKg, Kgi.

Forg∈ H− withkgk= 1 we obtain from (5.6) that

ImS2(λ)g, g=−y 1− kKgk2+ 2xyA(Aλ)−1Kg,(Aλ)−1Kgi −y(x2+y2)(Aλ)−1Kg2

=y 1− kKgk2+y a+

Z

a

2xt−(x2+y2)

|tλ|2 dhEtKg, Kgi.

(5.10)

If x≤0, then the numerator of the fraction in the integral in (5.10) is negative as

t >0; if x >0, then (5.9) yields

2xt(x2+y2)2xa+−(x2+y2)≤0.

In both cases the integral in (5.10) is non-positive and hence

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This shows that 0 is not in the closure of the numerical range ofS2(λ) for suchλand

hence 0∈ρ(S2(λ)). Again by (5.1) this shows that λρ(S). Thus (5.8) is proved.

It remains to show that

σ(S)\RnλC\R : Reλ > b

2

o

,

but we postpone this until we have completed the proof of (ii). To prove (ii), note that

S1(λ) =A0+LD0L∗−λ(ILL∗) +λ2L(D0−λ)−1L

forλρ(D0). Following the same arguments as above, it follows that σ(S)Rmin{d0, b0},max{a0+, d0+}

and

σ(S)\RλC\R : |λd0+|< d0+ . (5.11)

It follows from Remark 3.5 that ifS is represented as in (3.8) then the representation

(3.14) corresponds to (3.3) for S−1. Hence, applying (5.8) to the J-frame operator S−1 we obtain that

σ(S−1)\R

λC\R :

λb10

<b10

,

becauseY = (A0+LD0L)−1 and

supW((A0+LD0L∗)−1) = (infW(A0+LD0L∗))−1= 1 b0.

Therefore,

σ(S)\R=nλC\R : 1 λσ(S

−1)onλC\R : Reλ > b0−

2

o

.

This, together with (5.11), yields (5.4) and (ii) is shown.

Finally, to conclude the proof of (i), note that ifS is represented as in (3.3) then

the representation (3.13) corresponds to (3.8) forS−1 (see Remark 3.5). Applying

(5.11) to the J-frame operatorS−1 we obtain that

σ(S−1)\R⊆

λ∈C\R : λb1

<b1−

,

becauseZ = (D+KAK)−1 and

supW((D+KAK)−1) = (infW(D+KAK))−1= 1 b.

Hence,

σ(S)\R=nλC\R : 1 λσ(S

−1)onλC\R : Reλ > b

2

o

.

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Remark 5.2. LetS be aJ-frame operator in (H,[·,·]) and assume thatS is

repre-sented as in (3.3). By [19, Theorem 2.1], we have another enclosure for the non-real spectrum ofS:

|Imz| ≤ kAKk forzσ(S)\R.

Therefore, ifK= 0 then the spectrum ofS is contained in (0,+). Analogously, ifS

is represented as in (3.8) then|Imz| ≤ kLD0k for everyz σ(S)\R. Thus, L= 0

implies thatσ(S)(0,+).

Assume that F={fi}iI is aJ-frame for HwithJ-frame operatorS, andM±

are defined as in (2.5). Then K andLare the angular operators of M[+⊥] andM

according to the decompositions (3.4) and (3.6), respectively. Hence, ifM−=M[+⊥]

we have thatK=L= 0 andσ(S)(0,+). Moreover, in this caseS is a uniformly

positive operator in (H,,·i).

Given aJ-frameF={fi}iI withJ-frame operator S, we can use Theorem 5.1

to give a spectral enclosure for σ(S) in terms of the J-frame bounds ofF and its

canonical dualJ-frameF0={S−1f i}iI.

Corollary 5.3. LetF ={fi}i∈I be aJ-frame for a Krein space(H,,·])withJ-frame operatorS andJ-frame bounds0< α±≤β±. Assume also that 0< γ±≤δ± are the J-frame bounds of its canonical dual frameF0 ={S−1f

i}i∈I. Then, the spectrum ofS satisfies the following inclusions:

σ(S)R[ε, ε+], (5.12)

σ(S)\R⊆nλ∈C : Reλ > α2, |λ−1γ|1

o

, (5.13)

where

ε= max

min 1

δ+, α

,min

1

δ, α+

,

ε+= min

max 1

γ+, β

,max

1

γ, β+

,

α= max{α+, α−} and γ= max{γ+, γ−}.

Proof. Given a J-frame F = {fi}iI for H with J-frame operator S, let M±

be given by (2.5). By Theorem 3.1, according to the fundamental decomposition

H=M[−⊥][u]M−,S can be represented as in (3.3). Also, according to the

fundamen-tal decompositionH=M+[u]M[+⊥],Scan be represented as in (3.8). By Propositions

4.1 and 4.2,

W(A) =

1

δ+,

1

γ+

and W(D+KAK) = [α, β−],

W(D0) =

1

δ,

1

γ

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Since A is uniformly positive, we have inf W(D) α and supW(D) β.

Analogously, the uniform positiveness of D0 implies that inf W(A0) α+ and

supW(A0)β+. Hence, by Theorem 5.1, we have that

σ(S)R

min 1

δ+, α

,max

1

γ+, β

,

σ(S)R

min 1

δ, α+

,max

1

γ, β+

,

and (5.12) follows by intersecting the above intervals. For the non-real part of the spectrum ofS, Theorem 5.1 yields

σ(S)\R

λC :

λγ+1

< γ+1 and Reλ > α2

,

σ(S)\R⊆

λ∈C : λγ1

1− and Reλ > α+

2

,

and (5.13) follows by intersecting the two enclosures above (see Figure 1).

γ−1=γ−−1

α

2 α2=α2+ γ−+1

Fig. 1. The region containingσ(S)\Rgiven by the set on the right-hand side of (5.13)

6. SQUARE ROOT OF AJ-FRAME OPERATOR:

APPLICATIONS TOJ-FRAMES

It follows from Theorem 5.1 that ifSis aJ-frame operator acting on a Krein spaceH,

then its spectrum is located in the open right half-plane. Consider f(z) = z1/2 as

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Then, we can construct a square root ofS by means of the Riesz–Dunford functional

calculus:

S1/2:= 1

2πi

Z

Γ

z1/2(zS)−1dz, (6.1)

where Γ is a Jordan curve in the right half-plane enclosingσ(S). The operatorS1/2 is

also an invertible self-adjoint operator in the Krein spaceH.

The following theorem shows that this is (in some sense) the unique square root ofS. Theorem 6.1. Let S be a J-frame operator in a Krein space(H,,·]). Then there

exists a unique(bounded)operator P acting onHthat satisfies P2=S and

σ(P)⊆z∈C: z=reit, r >0, t∈(−π

44) . (6.2)

Moreover, such an operator is self-adjoint in the Krein space (H,,·]) and denoted

byS1/2.

Proof. By the discussion above and the Spectral Mapping Theorem, the operatorS1/2

defined in (6.1) satisfies the desired conditions. In particular, S1/2is invertible and

we denote its inverse byS−1/2.

Assume thatP is another operator satisfyingP2=S and (6.2). Then,P S=SP

and also

P S−1/2=S−1/2P,

as g(z) = z−1/2 is an analytic function in an open domain containing σ(S);

see [9, Proposition 4.9]. Thus, the operatorU :=P S−1/2 satisfies

U2= (S−1/2P)(P S−1/2) =S−1/2S S−1/2=I.

On the other hand, both σ(P) andσ(S−1/2) are contained in the open domain

defined in the right-hand side of (6.2) and, by [24, Lemma 0.11],

σ(U)⊆ {λ·µ: λσ(P), µσ(S−1/2)

} ⊆ {zC: Re(z)>0}.

So, (U+I)(UI) = 0 andU+Iis invertible, or equivalently,U =IandP =S1/2.

In the following we characterize the family of J-frames for Hwith a prescribed

J-frame operator, i.e. given aJ-frame operatorS:H → Hwe describe thoseJ-frames

F with synthesis operatorT :`2(I)→ Hsuch thatT T+=S. To do so, we show that

the synthesis operator of aJ-frame admits a polar decomposition (in the Krein space

sense).

First, let us state some well-known facts about partial isometries in Krein spaces. Given Krein spacesHandK, a (bounded) operatorU :H → K is apartial isometry

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For instance, U is a partial isometry if and only if there exist regular subspacesM

ofHandN ofK such that

(1) U is a one-to-one mapping from MontoN satisfying

[U f, U g]K= [f, g]H, f, g∈ M;

(2) N(U) =M[⊥].

In this case, we call MandN the initial and final spaces for U. Moreover,U+ is

a partial isometry with initial spaceN and final space M, and

U+U =EM, N(U) =N(EM) =M[⊥],

U U+=EN, N(U+) =N(EN) =N[⊥],

whereEM andEN are the self-adjoint projections ontoMandN, respectively; see,

e.g. [11, Theorems 1.7 and 1.8].

Before stating the polar decomposition for the synthesis operator of aJ-frameF,

recall that we are considering`2(I) as a Krein space with the indefinite inner product

induced byF; see (2.3).

Proposition 6.2. Let F be a J-frame for a Krein space (H,,·]) with synthesis

operator T : `2(I) → H. Then T admits a polar decomposition in the Krein space sense: there exists a co-isometry U :`2(I)→ Hwith initial spaceN(T)[⊥] such that

T = (T T+)1/2U,

where the square root is the one defined in (6.1). Moreover, this factorization is unique in the following sense: ifT =P W where P is a self-adjoint operator inHsatisfying

(6.2)andW :`2(I)→ His a co-isometry, thenP = (T T+)1/2 andW =U.

Proof. If S = T T+ is the J-frame operator ofF and S1/2 denotes the self-adjoint

square root defined in (6.1), thenU :=S−1/2T is a co-isometry from the Krein space

(`2(I),,·]2) onto (H,,·]). Indeed, it is immediate that

U U+= (S−1/2T)(T+S−1/2) =S−1/2S S−1/2=I.

Hence U+U is a self-adjoint projection in the Krein space (`2(I),,·]2). Also, U U+U =U implies that N(U+U) = N(U) = N(T), which is a regular subspace

of`2(I), see [13, Lemma 4.1]. Hence,N(T)[⊥] is the initial space ofU and

T =S1/2(S−1/2T) =S1/2U = (T T+)1/2U.

Finally, let us show the uniqueness of such a factorization. Assume thatT =P W, where P is a self-adjoint operator inHsatisfying (6.2) andW :`2(I)→ His a co-isometry.

Then,

References

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