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MULTIPLIERS AND WIENER-HOPF OPERATORS ON WEIGHTED Lp SPACES VIOLETA PETKOVA 2 1 0 2 Abstract. WestudythemultipliersM (boundedoperatorscommutingwiththetrans- n lations) on weighted spaces Lp(R). We establish the existence of a symbol µ for M a ω M and some spectralresults for the translations S and the multipliers. We also study the J t operatorsT ontheweightedspaceLp(R+)commutingeitherwiththerighttranslations 9 ω 1 St, t∈R+, orleft translationsP+S−t, t∈R+, andwe establishthe existence ofa sym- bol µ of T. We characterize completely the spectrum σ(St) of the operator St proving ] that A σ(S )={z ∈C:|z|≤etα0}, t F . where α0 is the growth bound of (St)t≥0. We obtain a similar result for the spectrum h of (P+S ), t≥0. Moreover,for an operatorT commuting with S , t≥0, we establish −t t at the inclusion µ(O)⊂σ(T), where O={z ∈C:Imz <α0}. m [ 1. Introduction 2 v Let E be a Banach space of functions on R. For t ∈ R, define the translation by t on 5 E by 8 9 Stf(x) = f(x−t),a.e., ∀f ∈ E. 4 We call a multiplier on E, every bounded operator on E commuting with S for every . t 2 t ∈ R. For the multipliers on a Hilbert space we have the existence of a symbol and some 1 1 spectral results concerning the translations and the multipliers are obtained by using this 1 property of the multipliers (see [7], [8]). In the arguments exploited in [7], [8] the spectral : v mapping theorem of Gearhart [3] for semigroups in Hilbert spaces plays an essential role. i X The first purpose of this paper is to extend the main results in [8], [7] concerning the r existence of the symbol of a multiplier as well as the spectral results in the case where a E is a weighted Lp(R) space. For general Banach spaces the characterization of the ω spectrum of the semigroup V(t) = etG by the resolvent of its generator G is much more complicated than for semigroups in Hilbert spaces (see for instance [4]). In particular, the statements of Lemma 1, 2 and 3 (see Section 2) are rather difficult to prove and for general Banach spaces this problem remains open. In this paper we restrict our attention to Lp(R), 1 ≤ p < ∞, weighted spaces. The advantage that we take account is that the ω semigroupofthetranslations(S )preserves thepositive functions. Forsemigroups having t this special property in the spaces Lp(R) we have a spectral mapping theorem (see [1], ω [12], [13]). We obtain Theorems 1-4 for multipliers on Lp(R) and in this work we explain ω only these parts of the proofs which are based on spectral mapping techniques and which are different from the arguments used to establish Theorems 1-4 in the particular case 1 2 VIOLETA PETKOVA p = 2 (see for more details [8], [7]). ′ ′ For a Banach space E denote by E the dual space of E. For f ∈ E, g ∈ E , denote by < f,g > the duality. Let p ≥ 1, and let ω be a weight on R. More precisely, ω is a positive, continuous function such that ω(x+t) sup < +∞,∀t ∈ R. x∈R ω(x) Let Lp(R) be the set of measurable functions on R such that ω 1/p kfk = |f(x)|pω(x)pdx < +∞, 1 ≤ p < +∞. p,ω (cid:16)ZR (cid:17) Let C (R) (resp. C (R+) ) be the space of continuous functions on R (resp. R+) with c c compact support in R (resp. R+). Notice that C (R) is dense in Lp(R). c ω In the following we set E = Lp(R) and we consider only Banach spaces having this form ω for 1 ≤ p < +∞. In this case hf,gi = f(x)g¯(x)ω2(x)dx Z R and |hf,gi| ≤ kfk kgk , for1 < p < +∞, p,ω q,ω where 1 + 1 = 1. For p = 1, we have p q E′ = L∞(R) = {f ismeasurable : |f(x)|ω(x) < ∞,a.e.} ω and kgk = esssup{|f(x)|ω(x), x ∈ R}. ∞,ω If M is a multiplier on E then, there exists a distribution µ such that Mf = µ∗f, ∀f ∈ C (R+). c For φ ∈ C (R+), the operator c M : Lp(R) ∋ f −→ φ∗f φ ω is a multiplier on E. Introduce 1 1 α0 = lim lnkStkt, α1 = lim lnkS−tkt. t→+∞ t→+∞ It is easy to see that α +α ≥ 0. Consider 1 0 U = {z ∈ C, Imz ∈ [−α , α ]}. 1 0 For an operator T denote by ρ(T) the spectral radius of T and by σ(T) the spectrum of T. It is well known that ρ(S ) = eα0t, for t ≥ 0. t Given a function f and a ∈ C, denote by (f) the function a R ∋ x −→ f(x)eax WIENER-HOPF OPERATORS 3 anddenote by M the algebra of the multipliers onE. Wenote by gˆthe Fourier transform of a function g ∈ L2(R). Our first result is a theorem saying that every multiplier on E has a representation by a symbol. Theorem 1. Let M be a multiplier on E. Then 1)For a ∈ [−α , α ], we have (Mf) ∈ L2(R), for every f ∈ E such that (f) ∈ L2(R). 1 0 a a 2) For a ∈ [−α , α ], there exists a function ν ∈ L∞(R) such that 1 0 a \ (Mf) (x) = ν (x)(f) (x), ∀f ∈ E, with(f) ∈ L2(R), a.e. a a a a Moreover, we have kν k ≤ CkMdk, ∀a ∈ [−α , α ]. a ∞ 1 0 ◦ ◦ 3) If U 6= ∅, there exists a function ν ∈ H∞(U) such that ◦ Mf(z) = ν(z)fˆ(z), z ∈ U, ∀f ∈ C∞(R), c where Mf(ia+x) = (\Mdf) (x), for a ∈]−α ,α [, f ∈ C∞(R). a 1 0 c Thedfunction ν is called the symbol of M. The above result is similar to that established in [8], [7] and the novelty is that we treat Banach spaces Lp(R) and not only ω Hilbert spaces. Define A as the closed Banach algebra generated by the operators M , φ for φ ∈ C (R). Notice that A is a commutative algebra. Our second result concerns the c spectra of S and M ∈ M. t Theorem 2. We have i) σ(S ) = {z ∈ C, e−α1t ≤ |z| ≤ eα0t}, ∀t ∈ R. (1.1) t Let M ∈ M and let µ be the symbol of M. M ii) We have µ (U) ⊂ σ(M). (1.2) M iii) If M ∈ A, then we have µ (U) = σ(M). (1.3) M The equality (1.3) may be considered as a weak spectral mapping property (see [2]) for operators in the Banach algebra A. On the other hand, it is important to note that if M ∈ M, but M ∈/ A, ingeneral wehave µ (U) 6= σ(M). ForthespaceE = L1(R), there M existsacounter-example(seesection2and[2]). Thustheinclusionin(1.2)couldbestrict. In section 3, we obtain similar results for Wiener-Hopf operators on weighted Lp(R+) ω spaces. In the analysis of Wiener-Hopf operators some new difficulties appear in com- parison with the case of multipliers. Let E be a Banach space of functions on R+. Let p ≥ 1 and let ω be a weight on R+. It means that ω is a positive, continuous function such that ω(x+t) ω(x+t) 0 < inf ≤ sup < +∞,∀t ∈ R+. x≥0 ω(x) x≥0 ω(x) 4 VIOLETA PETKOVA Let Lp(R+) be the set of measurable functions on R+ such that ω ∞ |f(x)|pω(x)pdx < +∞. Z 0 Notice that C (R+) is dense in Lp(R+). c ω Let P+ be the projection from L2(R−) ⊕ Lp(R+) into Lp(R+). From now we will ω ω denote by S the restriction of S on Lp(R+) for a ≥ 0 and, for simplicity, S will be a a ω 1 denoted by S. Let I be the identity operator on Lp(R+). ω Definition 1. A bounded operator T on Lp(R+) is called a Wiener-Hopf operator if ω P+S TS f = Tf, ∀a ∈ R+, f ∈ Lp(R+). −a a ω As in [5] we can show that every Wiener-Hopf operator T has a representation by a convolution. More precisely, there exists a distribution µ such that Tf = P+(µ∗f), ∀f ∈ C∞(R+). c If φ ∈ C (R), then the operator c Lp(R+) ∋ f −→ P+(φ∗f) ω is a Wiener-Hopf operator and we will denote it by T . Moreover, we have φ (P+S S )f = f, ∀f ∈ Lp(R+), −a a ω but it is obvious that (S P+S )f 6= f, a −a for all f ∈ Lp(R+) with a support not included in ]a,+∞[. The fact that S is not ω a invertible leads to many difficulties in contrast to the case when we deal with the space Lp(R). ω Let E be the space Lp(R+). As above define ω a0 = lim lnkStk1t, a1 = lim lnkS−tk1t t→+∞ t→+∞ and set J = [−a ,a ]. The next theorem is similar to Theorem 1. 1 0 Theorem 3. Let a ∈ J and let T be a Wiener-Hopf operator. Then for every f ∈ Lp(R+) ω such that (f) ∈ L2(R+), we have a (Tf) = P+F−1(h (f) ) (1.4) a a a with ha ∈ L∞(R) and d kh k ≤ CkTk, a ∞ where C is a constant independent of a. Moreover, if a +a > 0, the function h defined 1 0 ◦ on U = {z ∈ C : Imz ∈ J} by h(z) = h (Rez) is holomorphic on U. Imz Definition 2. The function h defined in Theorem 3 is called the symbol of T. WIENER-HOPF OPERATORS 5 We are able to examine the spectrum of the operators in the space W of bounded operators on E commuting with (S ) or (P+S ) . t t≥0 −t t≥0 Let O = {z ∈ C, Imz < a } and V = {z ∈ C, Imz < a }. 0 1 Theorem 4. We have i) σ(S ) = {z ∈ C, |z| ≤ ea0t}, ∀t > 0. (1.5) t ii) σ(P+S ) = {z ∈ C, |z| ≤ ea1t}, ∀t > 0. (1.6) −t Let T ∈ W and let µ be the symbol of T. T iii) If T commutes with S , ∀t ≥ 0, then we have t µ (O) ⊂ σ(T). (1.7) T iv) If T commutes with P+S , ∀t ≥ 0, then we have −t µ (V) ⊂ σ(T). (1.8) T The equalities (1.5),(1.6) generalize the well known results for the spectra of the right and left shifts in the space of sequences l2 (see for instance, [10]). However, our proofs are based heavily on the existence of symbols for Wiener-Hopf operators and having in mind Theorem 3, we follow the arguments in [9]. In section 4, we obtain a sharp spectral result for Wiener-Hopf operators having the form T with φ ∈ C (R). This result is established here for operators in spaces Lp(R+). φ c ω It is important to note that even for p = 2 and for the Hilbert space L2(R+) our result ω below is new. Theorem 5. Let φ ∈ C (R). Then c i) if supp(φ) ⊂ R+, we have ˆ φ(O) = σ(T ). φ ii) if supp(φ) ⊂ R−, we have ˆ φ(V) = σ(T ). φ The above result yields a weak spectral mapping property and can be compared with the equality (1.3) in Theorem 2, however the proof is more complicated. 2. Multipliers on Lp(R) ω Recall that we use the notation E = Lp(R). We start with the following ω Lemma 1. Let λ ∈ C be such that eλ ∈ σ(S) and let Reλ = α . Then there exists a 0 sequence (fn)n∈N of functions of E and an integer k ∈ Z so that lim etA −e(λ+2πki)t f = 0, ∀t ∈ R, kf k = 1, ∀n ∈ N. (2.1) n n n→∞ (cid:16) (cid:17) (cid:13) (cid:13) (cid:13) (cid:13) 6 VIOLETA PETKOVA Proof. Let A be the generator of the group (St)t∈R. It is clear that the group (St)t∈R preserves positivefunctions. SinceE = Lp(R)theresultsof[12], [13]saythatthespectral ω mapping theorem holds and σ(etA)\{0} = etσ(A) = {etλ : λ ∈ σ(A)}. In particular, for the spectral bound s(A) of A we get s(A) := sup{Rez : z ∈ σ(A)} = α . 0 Thus eλ ∈ σ(S)\{0} = eσ(A) yields λ+2πki = λ ∈ σ(A) for some k ∈ Z. On the other 0 hand, Reλ = α , and we deduce that λ is on the boundary of the spectrum of A. By 0 0 0 a well known result, this implies that λ is in the approximative point spectrum of A. 0 Let µ be a sequence such that µ → λ , Reµ > λ , ∀n ∈ N. Then n n n→∞ 0 n 0 (µ I −A)−1 ≥ (dist(µ ,σ(A)))−1, n n (cid:13) (cid:13) hence k(µ I −A)−1k → ∞(cid:13). Applying th(cid:13)e uniform boundedness principle and passing to n a subsequence of µ (for simplicity also denoted by µ ), we may find f ∈ E such that n n lim (µ I −A)−1f → ∞. n n→∞ (cid:13) (cid:13) (cid:13) (cid:13) Introduce f ∈ D(A) defined by n (µ I −A)−1f n f = . n k(µ I −A)−1fk n The identity (λ+2πki−A)f = (λ −µ )f +(µ −A)f n 0 n n n n implies that (λ+2πki−A)f → 0 as n → ∞. Then the equality n t (etA −et(λ+2πki))f = e(λ+2πki)(t−s)eAsds (A−λ−2πki)f n (cid:16)Z (cid:17) n 0 (cid:3) yields (2.1). Now we prove the following important lemma. Lemma 2. For all φ ∈ C∞(R) and λ such that eλ ∈ σ(S) with Reλ = α we have c 0 |φˆ(iλ+a)| ≤ kM k, ∀a ∈ R. (2.2) φ Proof. Let λ ∈ C be such that eλ ∈ σ(S) and Reλ = α0 and let (fn)n∈N be the sequence constructed in Lemma 1. We have 1 = kf k = sup | < f ,g > |. n n ′ g∈E ,kgk ′≤1 E ′ Then, there exists g ∈ E such that n 1 | < f ,g > −1| ≤ n n n WIENER-HOPF OPERATORS 7 and kgnkE′ ≤ 1. Fix φ ∈ Cc∞(R) and consider 1 ˆ ˆ ˆ |φ(iλ+a)| ≤ |φ(iλ+a)hf ,g i|+ |φ(iλ+a)| n n n 1 ≤ φ(t) e(λ+2πki)t −S e−i(a+2πk)tf ,g dt + |φˆ(iλa)| (cid:12)ZR(cid:10) (cid:16) t(cid:17) n n(cid:11) (cid:12) n (cid:12) (cid:12) (cid:12) (cid:12) + hφ(t)S e−i(a+2πk)tf ,g idt . (cid:12)ZR t n n (cid:12) (cid:12) (cid:12) The first two terms on the rig(cid:12)ht side of the last inequality(cid:12) go to 0 as n → ∞ since by Lemma 1 we have e−i(a+2πk)t e(λ+2πki)t −S f −→ 0. t n n→∞ (cid:13) (cid:16) (cid:17) (cid:13) On the other hand,(cid:13) (cid:13) I = < φ(t)S e−i(a+2πk)tf ,g > dt n (cid:12)ZR t n n (cid:12) (cid:12) (cid:12) (cid:12) (cid:12) = h φ(t)e−i(a+2πk)tf (.−t)dt ,g i (cid:12) hZR n i n (cid:12) (cid:12) (cid:12) (cid:12) (cid:12) = h (φ(.−y)ei(a+2πk)yf (y)dy,ei(a+2πk).g i (cid:12) ZR n n (cid:12) (cid:12) (cid:12) (cid:12) (cid:12) = h M (ei(a+2πk).f ) ,ei(a+2πk).g i φ n n (cid:12) (cid:16) (cid:17) (cid:12) (cid:12) (cid:12) and In ≤ kMφkkfnkkgnkE′ ≤(cid:12)kMφk. Consequently, we deduce(cid:12)that ˆ |φ(iλ+a)| ≤ kM k. φ (cid:3) Notice that the property (2.2) implies that |φˆ(λ)| ≤ kM k, ∀λ ∈ C, provided Imλ = α . φ 0 Lemma 3. Let φ ∈ C∞(R) and let λ be such that e−λ¯ ∈ σ((S )∗) with Reλ = −α . c −1 1 Then we have |φˆ(iλ+a)| ≤ k(M )k, ∀a ∈ R. (2.3) φ Proof. Consider the group (S )∗ acting on E′. Let λ ∈ C be such that e−λ¯ ∈ −t t∈R σ((S )∗) and −1 |e−λ¯| = ρ(S ) = ρ((S )∗) = eα1. −1 −1 The group (S )∗ preserves positive functions. To prove this, assume that g(x) ≥ 0, a.e. −t is a positive function and let h ∈ E be such that h(x) ≥ 0, a.e. Then hh,(S )∗gi = hS h,gi ≥ 0. −t −t If F(x) = ((S )∗g)(x) < 0 for x ∈ Λ ⊂ R and Λ has a positive measure, we choose −t h(x) = 1 (x). Then h1 ,Fi ≤ 0 and we conclude that F(x) = 0 a.e. in Λ which is Λ Λ a contradiction. For the group (S )∗ the spectral mapping theorem holds and, by the −t 8 VIOLETA PETKOVA same argument as in Lemma 1, we prove that there exists a sequence (gk)k∈N of functions of E′ and an integer m so that for all t ∈ R, lim k(etB −e(−λ¯+2πmi)t))gkkE′ = 0 k→∞ and kgkkE′ = 1. Since S S = I, we have (S )∗(S )∗ = I. This implies that −t t t −t (S )∗g −e(λ¯−2πmi)tg = (S )∗ −e(λ¯−2πmi)t(S )∗(S )∗ g t k k E′ (cid:16) t t −t (cid:17) k E′ (cid:13) (cid:13) (cid:13) (cid:13) (cid:13) (cid:13) (cid:13) (cid:13) ≤ k(St)∗kE′→E′ (cid:16)e(−λ¯+2πmi)t −(S−t)∗(cid:17)gk E′ (cid:13) (cid:13) and we deduce that for every t ∈ R w(cid:13)e have (cid:13) lim (S )∗ −e(λ¯−2πmi)t g = 0. k→∞(cid:13)(cid:16) t (cid:17) k(cid:13)E′ For 1 < p < +∞ the space E =(cid:13) Lp(R) is reflexive an(cid:13)d the dual to E′ can be identified ω with E. Consequently, since kgkkE′ = 1, there exists fk ∈ E such that 1 | < f ,g > −1| ≤ , kf k ≤ 1. (2.4) k k k E k For p = 1 the space L1(R) is not reflexive and to arrange (2.4), we use another argument. ω In this case the dual to L1ω(R) is L∞ω (R). Let kgkL∞ω(R) = 1. Fix 0 < ǫ < 1 and consider the set M = {x ∈ R : |g(x)|ω(x) ≥ 1−ǫ, m ≤ x < m+1}, m ∈ Z. ǫ,m If µ(M ) (the Lebesgue measure of M ) is zero for all m ∈ Z, we obtain a contra- ǫ,m ǫ,m diction with kgkL∞(R) = 1. Thus there exists r ∈ Z such that µ(Mǫ,r) > 0. Now we ω take 1 (x)eiarg(g(x)) f(x) = Mǫ,r . µ(M )ω2(x) ǫ,r Then r+1 1 ≥ hf,gi = f(x)g¯(x)ω2(x)dx ≥ 1−ǫ Z r and we can obtain (2.4) choosing ǫ = 1/k. Passing to the proof of (2.3), we get 1 ˆ ˆ ˆ |φ(iλ+a)| ≤ |φ(iλ+a) < f ,g > |+ |φ(iλ+a)| k k k ≤ < φ(t)e−i(a+2πm)tf , e(¯λ−2πmi)t −(S )∗ g > dt (cid:12)ZR k (cid:16) t (cid:17) k (cid:12) (cid:12) (cid:12) (cid:12) 1 (cid:12)1 + < φ(t)S e−i(a+2πm)tf ,g > dt + |φˆ(iλ+a)| = J′ +I′ + |φˆ(iλ+a)|. (cid:12)ZR t(cid:16) k(cid:17) k (cid:12) k k k k (cid:12) (cid:12) Fro(cid:12)m the argument above we deduce t(cid:12)hat J′ → 0 as k → ∞. For I′ we apply the k k same argument as in the proof of Lemma 2 and we deduce |φˆ(iλ+a)| ≤ kM k. (cid:3) φ WIENER-HOPF OPERATORS 9 For the proof of Theorem 1 we apply the argument in [7] and Lemmas 2-3. There exists eλ0 ∈ σ(S) such that Reλ = α . Then for every z ∈ C with Imz = α we have 0 0 0 |ϕˆ(z)| ≤ kM k. ϕ Alsothereexistse−λ1 ∈ σ((S )∗)withReλ = −α andforeveryz ∈ CwithImz = −α −1 1 1 1 we have |ϕˆ(z)| ≤ kM k. ϕ Applying Phragmen-Lindel¨off theorem for the Fourier transform of ϕ ∈ C∞(R) in the c domain {z ∈ C : −α ≤ Imz ≤ α }, we deduce 1 0 |ϕˆ(z)| ≤ kM k ϕ for z ∈ U. Next we exploit the fact that M can be approximated by M with respect ϕ to the strong operator topology (see [6] for a very general setup covering our case). We complete the proof repeating the arguments from [6], [7] and since this leads to minor modifications, we omit the details. To obtain Theorem 2 we follow the same argument as in [8] and the proof is omitted. To see that in (1.2) the inclusion may be strict, consider a measure η on R such that the operator M : f −→ S (f)dη(x) η Z x R is bounded on L1(R). For this it is enough to have d|η|(x) < ∞. Then M is a R η multiplier on L1(R) with symbol R ηˆ(t) = e−ixtdη(x). Z R On the other hand, there exists a bounded measure η on R such that ηˆ(R) 6= σ(M ) η (see for details [2]). In L1(R) we have α = α = 0 and U = R. So we have not the 0 1 property (1.2) in Theorem 2 for every multiplier even in the case L1(R). 3. Wiener-Hopf operators We need the following lemmas. Lemma 4. Let φ ∈ C (R+). The operator T commutes with S , ∀t > 0, if and only if c φ t the support of φ is in R+. Proof. Consider φ ∈ C (R+) and suppose that T commutes with S , t ≥ 0. We write c φ t φ = φχR− +φχR+. 10 VIOLETA PETKOVA If Tφ commutes with St, t ≥ 0, then the operator TφχR− commutes too. Let ψ = φχR− and fix a > 0 such that ψ has a support in [−a,0]. Setting f = χ , we get S f = χ . [0,a] a [a,2a] For x ≥ 0 we have 0 min(x−a,0) P+(ψ ∗S f)(x) = ψ(t)χ dt = ψ(t)dt. a Z {a≤x−t≤2a} Z −a max(−a,−2a+x) Since P+(ψ ∗S f) = S P+(ψ ∗f), for x ∈ [0,a], we deduce P+(ψ ∗S f)(x) = 0 and a a a x−a ψ(t)dt = 0, ∀x ∈ [0,a]. Z −a This implies that ψ(t) = 0, for t ∈ [−a,0] hence supp(φ) ⊂ R+. (cid:3) Next we establish the following Lemma 5. Let T , φ ∈ C (R). Then T commutes with P+(S ), ∀t > 0 if and only if φ c φ −t supp(φ) ⊂ R−. Proof. For φ ∈ C (R), suppose that T commutes with P+(S ), ∀t > 0. Set ψ = c φ −t φχ . There exists a > 0 such that supp(ψ) ⊂ [0,a]. We have P+(ψ ∗P+S χ ) = 0 R+ −a [0,a] and then P+S (P+ψ ∗χ ) = 0. This implies that −a [0,a] (ψ ∗χ )(x) = 0, ∀x > a. [0,a] On the other hand, for x > a we have min(a,x) a (ψ ∗χ )(x) = ψ(t)χ (x−t)dt = ψ(t)dt = ψ(t)dt. [0,a] Z [0,a] Z Z R max(0,x−a) x−a Hence aψ(t)dt = 0,∀a > ǫ > 0andwegetψ = 0. Thus weconcludethatsupp(φ) ⊂ R−. ǫ (cid:3) R It is clear that (S ) and (P+(S )) form continuous semigroups and these semi- t t≥0 −t t≥0 groups preserve positive functions. Moreover, by using the equality h(P+S )h,gi = hh,(P+S )∗gi, t −t weconcludethatthesemigroup(P+S )∗ preservepositivefunctions. Theissueisthatfor −t S and (P+S )∗ the spectral mapping theorem holds and we may repeat the arguments t −t used in section 2. Thus we obtain the following Lemma 6. 1) For all φ ∈ C∞(R) such that supp(φ) ⊂ R+, for λ such that eλ ∈ σ(S) c and Reλ = a , we have 0 |φˆ(iλ+a)| ≤ kT k, ∀a ∈ R. φ 2) For all φ ∈ C∞(R) such that supp(φ) ⊂ R− and for λ such that e−λ¯ ∈ σ((S )∗) and c −1 Reλ = −a , we have 1 |φˆ(iλ+a)| ≤ kT k, ∀a ∈ R. φ

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