CUBO A Mathematical Journal Vol.11, No¯ 04, (87–107). September 2009 Pseudo-differential operators with smooth symbols on modulation spaces Joachim Toft Department of Mathematics and Systems Engineering, Växjö University, Sweden email: joachim.toft@vxu.se ABSTRACT Let M p,q (ω0) be the modulation space with parameters p,q and weight function ω0. If ∂ α a/ω ∈ L∞ for all α, then we prove that the pseudo-differential operator at(x,D) is continuous from M p,q (ω0ω) to M p,q (ω0) . More generally, if B is a translation invariant BF-space, then we prove that at(x,D) is continuous from M(ω0ω)(B) to M(ω0)(B). We use these results to establish identifications between such spaces with different weights. RESUMEN Sea M p,q (ω0) el espacio de modulación con parámetros p,q y función de peso ω0. Si ∂ α a/ω ∈ L∞ para todo α, entonces probamos que el operador pseudo-diferencial at(x,D) es continuo de M p,q (ω0ω) a M p,q (ω0) . En general, si B es una translación inva- riante en el espacio-BF, entonces probamos que at(x,D) es continuo de M(ω0ω)(B) en M(ω0)(B). Usamos estos resultados para establecer las identificaciones entre dichos espacios con diferentes pesos. Key words and phrases: Pseudo-differential operators, Modulation spaces, Coorbit spaces, BF- spaces, Sobolev spaces, Besov spaces. Math. Subj. Class.: 35S05, 47B37, 47G30, 42B35. 88 Joachim Toft CUBO 11, 4 (2009) 1 Introduction In this paper we establish continuity properties for certain pseudo-differential operators with smooth symbols when acting on general class of modulation spaces. These modulation spaces involve the usual modulation spaces, as well as certain type of weighted spaces related to Wiener amalgam spaces. Furthermore, we establish bijectivity properties for multiplication operators and Fourier multipliers, and use these properties to establish identification properties between modu- lation spaces with different weights. In particular we cover Theorem 2.1 in [30], where Tachizawa considers pseudo-differential operators with symbols in S(ω)(R 2d ), the set of all smooth functions a on R2d such that (∂αa)/ω ∈ L ∞ (R2d). Here ω is an appropriate weight function on R2d, which takes the form of ω(x,ξ) = 〈x〉t〈ξ〉s (1) in [30], where s,t ∈ R and 〈x〉 = (1 + |x|2)1/2. (We use the usual notation for function and distribution spaces, see e. g. [22].) In this context, Tachizawa extends Calderon-Vaillancourt’s theorem, and proves that if ω0 is appropriate, and p,q ∈ [1,∞], then the corresponding pseudo- differential operators are continuous from the modulation space M p,q (ω0ω) to M p,q (ω0) . (Cf. Section 2 for the definition of modulation spaces and pseudo-differential operators.) Tachizawa’s result were thereafter generalized in Theorem 3.2 in the report [38], where the conditions on the weight ω are relaxed in the sense that it is only assumed that ω should be v-moderate for some polynomial v. A similar and interesting result comparing to [30, 38], concerns [32, Theorem 5.3], where Teofanov discuss similar properties in context of ultra-modulation spaces. In this approach, the condition on v here above is relaxed in the sense that v is permitted to grow subexponentially, instead of polynomially. This in turn implies that symbols to the pseudo-differential operators might grow subexponentially. However, the classes of pseudo-differential operators in [32] do not contain those in [30] or [38], because the symbols in [32] have to fulfill certain conditions of Gelfand- Shilov type, which is not the case in [30, 38]. Other related results are Theorem 3 in [25], and Theorem 3, Corollary 2 and Remark 3 in [26], where Pilipović and Teofanov consider mapping properties for pseudo-differential operators with symbols in ultra-modulation space and which fulfill certain ellipticity conditions. In Section 3 we generalize [38, Theorem 3.2], and prove continuity for such pseudo-differential operators on a broad class of modulation spaces, which contains the modulation spaces in [38], and their Fourier transforms. These modulation spaces are in turn special cases of so called coorbit spaces (see [11, 12] for the definition of coorbit spaces, and [9] for an updated definition of modulation spaces). (See Theorem 3.2 and Theorem 3.2′.) Furthermore we establish bijectivity properties for pseudo-differential operators, if they, in addition, are appropriate multiplication operators or Fourier multipliers. (See Corollary 3.6.) Thereafter we give links on how these results can be used to establish identification properties between modulation spaces with different weights. (See Remark 3.7 and Theorems 3.9.) Here we also present some immediate consequences CUBO 11, 4 (2009) Pseudo-differential operators with smooth symbols ... 89 in modulation space theory and for spaces related to Wiener amalgam spaces. (See Corollary 3.6′, Theorem 3.9′ and Theorem 3.9′′.) The (classical) modulation spaces Mp,q, p,q ∈ [1,∞], as introduced by Feichtinger in [6], consist of all tempered distributions whose short-time Fourier transforms (STFT) have finite mixed L p,q norm. It follows that the parameters p and q to some extent quantify the degrees of asymptotic decay and singularity of the distributions in Mp,q. The theory of modulation spaces was developed further and generalized in [11–13, 16], where Feichtinger and Gröchenig established the theory of coorbit spaces. In particular, the modulation space M p,q (ω) , where ω denotes a weight function on phase (or time-frequency shift) space, appears as the set of tempered (ultra-) distributions whose STFT belong to the weighted and mixed Lebesgue space L p,q (ω) . A major idea behind the design of these spaces was to find useful Banach spaces, which are defined in a way similar to Besov spaces, in the sense of replacing the dyadic decomposition on the Fourier transform side, characteristic to Besov spaces, with a uniform decomposition. From the construction of these spaces, it turns out that modulation spaces and Besov spaces in some sense are rather similar, and sharp embeddings between these spaces can be found in [1, 29, 35, 37]. (See also [15, 23] for other embeddings.) During the last 15 years many results have been proved which confirm the usefulness of the modulation spaces in time-frequency analysis, where they occur naturally. For example, in [13, 17, 21], it is shown that all modulation spaces admit reconstructible sequence space representations using Gabor frames. Parallel to this development, modulation spaces have been incorporated into the calculus of pseudo-differential operators, in the sense of (i) the study of continuity of pseudo-differential operators with smooth symbols acting on modulation spaces, and (ii) the use of modulation spaces as symbol classes. Tachizawa pioneered topic (i) in [30]. (See at the above.) In [28], Sjöstrand founded topic (ii) and introduced the modulation space M∞,1, which con- tains non-smooth functions, as a symbol class. He proved that the symbol class M∞,1 corresponds to an algebra of operators which are bounded on L2. Gröchenig and Heil thereafter proved in [17, 18] that each operator with symbol in M∞,1 is continuous on all modulation spaces Mp,q, p,q ∈ [1,∞]. This extends Sjöstrand’s result since M 2,2 = L 2. Some generalizations to operators with symbols in general unweighted modulation spaces were obtained in [19, 35], and in [36, 38, 39] some further extensions involving weighted modulation spaces are presented. Modulation spaces in pseudodifferential calculus is currently an active field of research (see e. g. [18–20, 25, 31, 32]). 90 Joachim Toft CUBO 11, 4 (2009) 2 Preliminaries In this section we discuss basic properties for modulation spaces and other related spaces. The proofs are in many cases omitted since they can be found in [4–6, 11–13, 17, 33–36]. We start by recalling some properties of the involved weight functions. The positive function ω ∈ L∞loc(Rd) is called v-moderate for some appropriate function v ∈ L∞loc(Rd), if there is a constant C > 0 such that ω(x1 + x2) ≤ Cω(x1)v(x2), x1,x2 ∈ Rd. (2) If v can be chosen as polynomial, then ω is called polynomially moderate. The function v is called submultiplicative, if (2) holds for ω = v. As in [36] we let P(Rd) be the set of all polynomially moderate functions on Rd. We also let P0(R d ) be the set of all smooth ω ∈ P(Rd) such that (∂αω)/ω is bounded for every α. Note that if ω ∈ P(Rd), then ω(x) + ω(x)−1 ≤ P(x), for some polynomial P on Rd. In most of the applications, it is no restriction to assume that the weight functions belong to P0, which is a consequence of the following lemma. (See also [36].) Lemma 2.1. Assume that ω ∈ P(Rd). Then there is a function ω0 ∈ P(Rd) and a constant C > 0 such that C−1ω ≤ ω0 ≤ Cω. Proof. The assertion follows by letting ω0 = ω ∗ ϕ for some 0 ≤ ϕ ∈ S (Rd) \ 0. The duality between a topological vector space and its dual is denoted by 〈 · , · 〉. For admissible a and b in S ′(Rd), we set (a,b) = 〈a,b〉, and it is obvious that ( · , · ) on L2 is the usual scalar product. Next let V1 and V2 be vector spaces such that V1 ⊕ V2 = Rd and V2 = V ⊥1 , and assume that v0 ∈ S ′(V1) and v ∈ S ′(Rd) are such that v(x1,x2) = (v0 ⊗ 1)(x1,x2), when xj ∈ Vj for j = 1, 2. Then v(x1,x2) is identified with v0(x1), and we set v(x1,x2) = v(x1). In order to discuss modulation spaces, we recall the definition of short-time Fourier transform. Assume that χ ∈ S ′(Rd) \ 0 and let τxχ(y) = χ(y − x) when x,y ∈ Rd. Then the short-time Fourier transform Vχf of f ∈ S ′(Rd) with respect to the window function χ is the distribution in S ′(R2d), defined by the formula (Vχf)(x,ξ) = F (f · τxχ)(ξ). Here F denotes the Fourier transform on S ′(Rd), which takes the form Ff(ξ) = f̂(ξ) = (2π) −d/2 ∫ f(y)e −i〈y,ξ〉 dy when f ∈ S (Rd). We note that Vχf is well-defined (as an element in S ′), since it is the partial Fourier transform of the tempered distribution (x,y) 7→ f(y)χ(y − x) with respect to the y-variable. CUBO 11, 4 (2009) Pseudo-differential operators with smooth symbols ... 91 (Cf. [14].) If f,χ ∈ S (Rd), then Vχf is given by the formula (Vχf)(x,ξ) = (2π) −d/2 ∫ f(y)χ(y − x)e−i〈y,ξ〉 dy. Assume that χ ∈ S (Rd) \ 0, p,q ∈ [1,∞] and ω ∈ P(R2d) are fixed. Then the modulation space Mp,q (ω) (Rd) consists of all f ∈ S ′(Rd) such that ‖f‖M p,q (ω) ≡ ( ∫ ( ∫ |Vχf(x,ξ)ω(x,ξ)|p dx )q/p dξ )1/q < ∞ (3) (with the obvious modifications when p = ∞ and/or q = ∞). Furthermore, the space W p,q (ω) (Rd) consists of all f ∈ S ′(Rd) such that ‖f‖W p,q (ω) ≡ ( ∫ ( ∫ |Vχf(x,ξ)ω(x,ξ)|q dξ )p/q dx )1/p < ∞. (4) Note that the latter space is related to certain types of Wiener amalgam spaces. (Cf. Definition 4 in [13].) We recall that W p,q (ω) = FM q,p (ω0) when ω0(x,ξ) = ω(−ξ,x) ∈ P(R2d). In fact, let χ̌(x) = χ(−x) as usual. Then Parseval’s formula and a change of the order of integration shows that |F −1(f̂ τξχ̂)(x)| = |F (f τxχ̌)(ξ)|. (5) Hence, by applying the L q,p (ω) norm, the assertion follows. The convention of indicating weight functions with parenthesis is used also in other situations. For example, if ω ∈ P(Rd), then Lp (ω) (Rd) is the set of all measurable functions f on Rd such that fω ∈ Lp(Rd), i. e. such that ‖f‖Lp (ω) ≡ ‖fω‖Lp is finite. The following proposition is a consequence of well-known facts in [6, 17]. Here and in what follows, we let p′ denotes the conjugate exponent of p, i. e. 1/p + 1/p′ = 1. Proposition 2.2. Assume that p,q,pj,qj ∈ [1,∞] for j = 1, 2, ω,ω1,ω2,v ∈ P(R2d) are such that ω is v-moderate, χ ∈ M1 (v) (Rd) \ 0, and let f ∈ S ′(Rd). Then the following is true: 1. f ∈ Mp,q (ω) (Rd) if and only if (3) holds, i. e. Mp,q (ω) (Rd) is independent of the choice of χ. Moreover, Mp,q (ω) is a Banach space under the norm in (3), and different choices of χ give rise to equivalent norms; 2. f ∈ W p,q (ω) (Rd) if and only if (4) holds, i. e. W p,q (ω) (Rd) is independent of the choice of χ. Moreover, W p,q (ω) is a Banach space under the norm in (4), and different choices of χ give rise to equivalent norms; 3. if p1 ≤ p2, q1 ≤ q2 and ω2 ≤ Cω1 for some constant C, then S (R d ) ⊆Mp1,q1 (ω1) (R d ) ⊆Mp2,q2 (ω2) (R d ) ⊆ S ′(Rd), S (R d ) ⊆W p1,q1 (ω1) (R d ) ⊆W p2,q2 (ω2) (R d ) ⊆ S ′(Rd). 92 Joachim Toft CUBO 11, 4 (2009) Proposition 2.2 permits us to be rather vague about to the choice of χ ∈ M1 (v) \ 0 in (3) and (4). For example, if C > 0 is a constant and Ω is a subset of S ′, then ‖a‖M p,q (ω) ≤ C for every a ∈ Ω, means that the inequality holds for some choice of χ ∈ M1 (v) \ 0 and every a ∈ Ω. Evidently, for any other choice of χ ∈ M1 (v) \ 0, a similar inequality is true although C may have to be replaced by a larger constant, if necessary. Next we discuss weight functions which are common in the applications. For any s,t ∈ R, set σt(x) = 〈x〉t, σs,t(x,ξ)〈ξ〉s〈x〉t, (6) when x,ξ ∈ Rd. Then it follows that σt ∈ P0(Rd) and σs,t ∈ P0(R2d) for every s,t ∈ R, and σt is σ|t|-moderate and σs,t is σ|s|,|t|-moderate. Obviously, σs(x,ξ) = (1 + |x|2 + |ξ|2)s/2, and σs,t = σt ⊗ σs. Moreover, if ω ∈ P(Rd), then ω is σt-moderate provided t is chosen large enough. For conveniency we use the notations Lps , M p,q s and M p,q s,t instead of L p (σs) , M p,q (σs) and M p,q (σs,t) respectively. Remark 2.3. Assume that p,q,q1,q2 ∈ [1,∞] and ω ∈ P(R2d). Then the following properties for modulation spaces hold: 1. if q1 ≤ min(p,p′) and q2 ≥ max(p,p′) and ω(x,ξ) = ω(x), then M p,q1 (ω) ⊆ Lp (ω) ⊆ Mp,q2 (ω) , W p,q1 (ω) ⊆ Lp (ω) ⊆ W p,q2 (ω) ; 2. S0 0 = ⋂ s∈R M ∞,1 s,0 ; 3. if p ≥ q, then Mp,q (ω) ⊆ W p,q (ω) . If instead q ≥ p, then W p,q (ω) ⊆ Mp,q (ω) ; 4. M1,∞(Rd) and W 1,∞(Rd) are convolution algebras such that if M(Rd) is the set of all measures on Rd with bounded mass, then M ⊆ W 1,∞ ⊆ M1,∞; 5. if Ω is a subset of P(R2d) such that for any polynomial P on R2d, there is an element ω ∈ Ω such that P/ω is bounded, then S (R d ) = ⋂ ω∈Ω M p,q (ω) (R d ), S ′ (R d ) = ⋃ ω∈Ω M p,q (1/ω) (R d ); 6. if s,t ∈ R are such that t ≥ 0, then M 2 s,0 = H 2 s , M 2 0,s = L 2 s, and M 2 t = L 2 t ∩ H2t . (See e. g. [4–6, 10–13, 17, 35, 36].) CUBO 11, 4 (2009) Pseudo-differential operators with smooth symbols ... 93 We refer to [6, 11–13, 17, 27] for more facts about modulation spaces and W p,q (ω) -spaces. As anounced in the introduction we consider in Section 3 mapping properties for pseudo- differential operators when acting on certain types of coorbit spaces, which are defined by imposing certain types of translation invariant solid BF-space norms on the short-time Fourier transforms. (Cf. [6, 8, 11, 12].) This familly of coorbit spaces contains the modulation and Wiener amalgam spaces. In the following we recall the definition of these spaces. Definition 2.4. Assume that B is a Banach space of complex-valued measurable functions on Rd and v ∈ P(Rd). Then B is called a translation invariant BF-space on Rd (with respect to v), if there is a constant C such that the following conditions are fulfilled: 1. S (Rd) ⊆ B ⊆ S ′(Rd) (continuous embeddings); 2. if x ∈ Rd and f ∈ B, then τxf ∈ B, and ‖τxf‖B ≤ Cv(x)‖f‖B; (7) 3. if f,g ∈ L1loc(Rd) satisfy g ∈ B and |f| ≤ |g|, then f ∈ B and ‖f‖B ≤ C‖g‖B. Here the condition (3) in Definition 2.4 means that a translation invariant BF-space is a solid BF-space in the sense of (A.3) in [8]. It follows from this condition that if f ∈ B and h ∈ L∞, then f · h ∈ B, and ‖f · h‖B ≤ C‖f‖B‖h‖L∞. (8) Example 2.5. Assume that p,q ∈ [1,∞], and let Lp,q 1 (R2d) be the set of all f ∈ L1loc(R2d) such that ‖f‖Lp,q1 ≡ ( ∫ ( ∫ |f(x,ξ)|p dx )q/p dξ )1/q if finite. Also let L p,q 2 (R2d) be the set of all f ∈ L1loc(R2d) such that ‖f‖Lp,q2 ≡ ( ∫ ( ∫ |f(x,ξ)|q dξ )p/q dx )1/p is finite. Then it follows that L p,q 1 and L p,q 2 are translation invariant BF-spaces with respect to v = 1. More generally, assume that ω,v ∈ P(R2d) are such that ω is v-moderate, and let Lp,q j,(ω) (R2d), for j = 1, 2, be the set of all f ∈ L1loc(R2d) such that ‖f‖Lp,qj,(ω) ≡ ‖f ω‖Lp,qj is finite. Then L p,q j,(ω) is a translation invariant BF-space with respect to v. Remark 2.6. The conclusion in the latter part of Example 2.5 is also a consequence of the first part in that example and the following observation. Assume that ω0,v,v0 ∈ P(Rd) are such that ω is v-moderate, and assume that B is a translation invariant BF-space on Rd with respect to v0. Also let B0 be the Banach space which consists of all f ∈ L1loc(Rd) such that ‖f‖B0 ≡ ‖f ω‖B is finite. Then B0 is a translation invariant BF-space with respect to v0v. 94 Joachim Toft CUBO 11, 4 (2009) For translation invariant BF-spaces we make the following observation. Proposition 2.7. Assume that v ∈ P(Rd), and that B is a translation invariant BF-space with respect to v. Then the convolution mapping (ϕ,f) 7→ ϕ ∗ f from C∞ 0 (Rd) × B to S ′ extends uniquely to a continuous mapping from L1 (v) (Rd) × B to B, and ‖ϕ ∗ f‖B ≤ C‖ϕ‖L1 (v) ‖f‖B, for some constant C which is independent of ϕ ∈ L1 (v) and f ∈ B. Proposition 2.9 is a consequence of the results in [6, 8]. In order to be more self-contained we give here a short motivation. Proof. First assume that ϕ ∈ C∞ 0 and that f ∈ B. Then Minkowski’s inequality and (8) give ‖ϕ ∗ f‖B = ∥∥∥ ∫ f( · − y)ϕ(y) dy ∥∥∥ B ≤ ∫ ‖f( · − y)ϕ(y)‖B dy = ∫ ‖f( · − y)‖B|ϕ(y)|dy ≤ C ∫ ‖f‖B v(y)|ϕ(y)|dy = C‖f‖B‖ϕ‖L1 (v) , which proves the result in this case. For general ϕ ∈ L1 (v) , the result follows from the fact that C0 is dense in L1 (v) . Next we consider the general type of modulation spaces which we are especially interested in. Definition 2.8. Assume that B is a translation invariant BF-space on R2d, ω ∈ P(R2d), and that χ ∈ S (Rd) \ 0. Then the modulation space M(ω) = M(ω)(B) consists of all f ∈ S ′(Rd) such that ‖f‖M(ω) = ‖f‖M(ω)(B) ≡ ‖Vχf ω‖B is finite. Assume that ω ∈ P(R2d) is fix, and consider the familly of distribution spaces which consists of all spaces of the form M(ω)(B) such that B is a translation invariant BF-space on R 2d. Then it follows by Remark 2.6 that this familly is invariant under ω. Consequently we do not increase the set of possible spaces in Definition 2.8 by permitting ω that are not identically 1. From this observation it seems to be superfluous to include the weight ω in Definition 2.8. How- ever, it will be convenient for us to permit such ω dependency when investigating mapping prop- erties for pseudo-differential operators in Section 3, when acting on spaces of the form M(ω)(B). Obviously, we have M p,q (ω) (R d ) = M(ω)(B1) and W p,q (ω) (R d ) = M(ω)(B2) CUBO 11, 4 (2009) Pseudo-differential operators with smooth symbols ... 95 when B1 = L p,q 1 (R2d) and B2 = L p,q 2 (R2d) (cf. Example 2.5). It follows that many properties which are valid for the modulation spaces also hold for the spaces of the form M(ω)(B). For example we have the following proposition, which shows that the definition of M(ω)(B) is independent of the choice of χ. We omit the proof since it can be found in e. g. [8,11,12]. It also follows by similar arguments as in the proof of Proposition 11.3.2 in [17]. Proposition 2.9. Assume that B is a translation invariant BF-space with respect to v0 ∈ P(R2d) for j = 1, 2. Also assume that ω,v ∈ P(R2d) are such that ω is v-moderate, M(ω)(B) is the same as in Definition 2.8, and let χ ∈ M1 (v0v) (Rd) \ 0 and f ∈ S ′(Rd). Then f ∈ M(ω)(B) if and only if Vχf ω ∈ B, and different choices of χ gives rise to equivalent norms in M(ω)(B). Next we recall some facts in Chapter XVIII in [22] concerning pseudo-differential operators. Assume that t ∈ R is fixed and that a ∈ S (R2d). Then the pseudo-differential operator at(x,D) is the continuous operator on S (Rd), defined by the formula (at(x,D)f)(x) = (Opt(a)f)(x) = (2π) −d ∫ ∫ a((1 − t)x + ty,ξ)f(y)ei〈x−y,ξ〉 dydξ. (9) The definition of at(x,D) extends to any a ∈ S ′(R2d), and then at(x,D) is continuous from S (Rd) to S ′(Rd). Moreover, for every fixed t ∈ R, it follows that there is a one to one correspondance between such operators, and pseudo-differential operators of the form at(x,D). (See e. g. [22].) If t = 1/2, then at(x,D) is equal to the Weyl operator a w (x,D) for a. If instead t = 0, then the standard (Kohn-Nirenberg) representation a(x,D) is obtained. Consequently, for every a ∈ S ′(R2d) and s,t ∈ R, there is a unique b ∈ S ′(R2d) such that as(x,D) = bt(x,D). By straight-forward applications of Fourier’s inversion formula, it follows that as(x,D) = bt(x,D) ⇐⇒ b(x,ξ) = ei(t−s)〈Dx,Dξ〉a(x,ξ). (10) (Cf. [22].) In the next section we discuss continuity for pseudo-differential operators with symbols in S(ω)(R 2d ), the set of all smooth functions a on R2d such that ∂αa/ω ∈ L∞(R2d). Here ω ∈ P(R2d). If ω = 1, then we use the notation S0 0 (R2d) instead of S(ω)(R 2d ). 3 Continuity for pseudo-differential operators with symbols in S(ω) In this section we discuss continuity for operators in Op(S(ω0)) when acting on modulation spaces. In the first part we prove in Theorem 3.2 below that if ω,ω0 ∈ P, t ∈ R and a ∈ S(ω), then at(x,D) is continuous from M(ω0ω)(B) to M(ω0)(B). In particular, Theorem 2.1 in [30] as well as Theorem 2.2 in [36] are covered. 96 Joachim Toft CUBO 11, 4 (2009) In the second part we present some applications and prove that certain properties which are valid for Sobolev spaces carry over to modulation spaces. We start by giving some remarks on S(ω)(R 2d ) when ω ∈ P(R2d). By straight-forward computations it follows that S(ω)(R 2d ) agrees with S(ω,g) when g(x,ξ)(y,η) = |y|2 + |η|2 is the standard euclidean metric on R2d. (See Section 18.4–18.6 in [22].) Since the metric g is constant it follows that it is trivially slowly varying and σ-temperate, where σ denotes the standard symplectic form on R2d. Moreover, from the fact that ω is σt-moderate when t is large enough, it follows by straight-forward computations that ω is σ,g-temperate. The following lemma is therefore a consequence of Theorem 18.5.10 in [22]. Lemma 3.1. Assume that ω ∈ P(R2d), s,t ∈ R, and that a,b ∈ S ′(R2d) are such that as(x,D) = bt(x,D). Then a ∈ S(ω)(R2d) ⇐⇒ b ∈ S(ω)(R2d). We have now the following result. Theorem 3.2. Assume that t ∈ R, ω,ω0 ∈ P(R2d), a ∈ S(ω)(R2d), t ∈ R, and that B is a translation invariant BF-space on R2d. Then at(x,D) is continuous from M(ω0ω)(B) to M(ω0)(B). We need some preparations for the proof, and start by recalling Minkowski’s inequality in a somewhat general form. Assume that dµ is a positive measure, and that f ∈ L1(dµ; B) for some Banach space B. Then Minkowski’s inequality asserts that ∥∥∥ ∫ f(x) dµ(x) ∥∥∥ B ≤ ∫ ‖f(x)‖B dµ(x). We also need some lemmas. Lemma 3.3. Assume that ω ∈ P(R2d), a ∈ S(ω)(R2d), f ∈ S (Rd), χ ∈ S (Rd), χ2 = σsχ and 0 ≤ s ∈ R. If Φ(x,ξ,z,ζ) = a(x + z,ξ + ζ) ω(x,ξ)〈z〉s〈ζ〉s (11) and H(x,ξ,y) = ∫ ∫ Φ(x,ξ,z,ζ)χ2(z)〈ζ〉sei〈y−x−z,ζ〉 dzdζ, then Vχ(a(·,D)f)(x,ξ) = (2π)−d(f,ei〈 · ,ξ〉H(x,ξ, · ))ω(x,ξ). (12) Proof. For simplicity we assume that a is real-valued. By straight-forward computations we get Vχ(a(·,D)f)(x,ξ) = (a(·,D)f,τxχei〈·,ξ〉) = (f,a(·,D)∗(τxχei〈·,ξ〉)) = (2π) −d (f,e i〈 · ,ξ〉 H̃(x,ξ, · ))ω(x,ξ), (13) CUBO 11, 4 (2009) Pseudo-differential operators with smooth symbols ... 97 where H̃(x,ξ,y) = (2π) d e −i〈y,ξ〉 (a(·,D)∗(τxχei〈·,ξ〉))(y)/ω(x,ξ) = ∫ ∫ a(z,ζ) ω(x,ξ) χ(z − x)ei〈y−z,ζ−ξ〉 dzdζ = ∫ ∫ Φ(x,ξ,z − x,ζ − ξ)χ2(z − x)〈ζ − ξ〉sei〈y−z,ζ−ξ〉 dzdζ. If z − x and ζ − ξ are taken as new variables of integrations, it follows that the right-hand side is equal to H(x,y,ξ). This proves the assertion. Lemma 3.4. Let s ≥ 0 be an even integer, Φ and H be the same as in Lemma 3.3, and set Φβ (x,ξ,z,ζ) = ∂ β z Φ(x,ξ,z,ζ), χ2,γ = ∂ γ χ2. (14) Also let Ψβ (x,ξ,y, · ) be the inverse partial Fourier transform of Φβ (x,ξ,y,η) with respect to the η variable, and let Hβ,γ (x,ξ,y) = ∫ Ψβ (x,ξ,y − z − x,z)χ2,γ (y − z − x) dz. (15) Then there are constants Cβ,γ which depend on β, γ, s and d only such that H(x,ξ,y) = ∑ |β+γ|≤s Cβ,γHβ,γ (x,ξ,y). Proof. By integrating by parts we get H(x,ξ,y) = ∫ ∫ Φ(x,ξ,z,ζ)χ2(z)〈ζ〉s/2ei〈y−x−z,ζ〉 dzdζ = ∫ ∫ Φ(x,ξ,z,ζ)χ2(z)(1 − ∆z)s/2(ei〈y−x−z,ζ〉) dzdζ = ∑ |β+γ|≤N Cβ,γH̃β,γ (x,ξ,y), where H̃β,γ (x,ξ,y) = (2π) −d/2 ∫ ∫ Φβ (x,ξ,z,ζ)χ2,γ (z)e i〈y−x−z,ζ〉 dzdζ. If we take y−x−z and ζ as new variables of integrations, and perform the integration with respect to the ζ variable, it follows that H̃β,γ = Hβ,γ , which gives the result. For the next lemma we observe that if f ∈ S ′(Rd) is fixed, then there are positive constants s0, N and C0 such that |Vχ0f(x,ξ)| ≤ C0〈x,ξ〉N, where χ0 = σ−s and s ≥ s0. (16) 98 Joachim Toft CUBO 11, 4 (2009) Lemma 3.5. Assume that ω ∈ P(R2d), a ∈ S(ω)(R2d), ϕ ∈ S (Rd), and f ∈ S ′(Rd). If s ≥ 0 is large enough and χ0 = σ−s, then there is a constant C such that |Vϕ(at( · ,D)f)(x,ξ)| ≤ C(F(x, · ) ∗ χ0)(ξ), (17) where F(x,ξ) = |Vχ0f(x,ξ)ω(x,ξ)|. (18) Proof. It is no restriction to assume that a is real-valued, and by Lemmas 2.1 and 3.1 it follows that we may assume that t = 0 and that ω ∈ P0. Furthermore, by Lemma 3.3, Lemma 3.4 and (13), the result follows if we prove the following: 1. the right-hand side of (12) is well-defined for the fixed f ∈ S ′(Rd) when s is chosen large enough, and that (12) holds also in this case; 2. for each multi-indices β and γ, there is a constant C such that Iβ,γ (x,ξ) ≡ |(f,ei〈 · ,ξ〉Hβ,γ (x,ξ, · ))ω(x,ξ)| ≤ C(F(x, · ) ∗ σ−s)(ξ). (9) Let C0, s0 and N be chosen such that (16) is fulfilled, let N1 be an even and large integer, and let Φβ be as in (14). The assertion (1) follows if we prove that for each multi-indices α and β, there is a constant Cα,β = CN1,α,β such that |(∂αΦβ )(x,ξ,z,ζ)| ≤ Cα,β〈z〉−N1〈ζ〉−N1. (19) In order to prove (19) we choose M ≥ 0 and s ≥ M + N1 such that ω ∈ P0 is σM -moderate, and assume first that α = β = 0. Then (11) and the facts that a ∈ S(ω) give |Φ(x,ξ,z,ζ)| = |a(x + z,ξ + ζ)| ω(x,ξ)〈z〉s〈ζ〉s ≤ C1 |a(x + z,ξ + ζ)|〈z,ζ〉M ω(x + z,ξ + ζ)〈z〉s〈ζ〉s ≤ C2〈z〉 −N1〈ζ〉−N1. For general α and β, (19) follows from these computations in combination with Leibnitz rule, using the facts that (∂γa)/ω ∈ L∞ and (∂γω)/ω ∈ L∞ for each multi-index γ. This gives (1). Assume that N2 ≥ 0 is arbitrary. Then it follows by choosing N1 in (19) large enough, that for some constant C it holds |∂αΨβ (x,ξ,y − z,z)| ≤ C〈y〉−N2〈z〉−N2 (20) for every multi-index α such that |α| ≤ N2. If N3 is a fixed integer, then it follows from (15) and (20) that Hβ,γ (x,ξ,y) = σ−N3 (y − x)ϕβ,γ (x,ξ,y − x), (21) where ϕβ,γ satisfies |∂αϕβ,γ (x,ξ,y)| ≤ C〈y〉−N3, |α| ≤ N3, CUBO 11, 4 (2009) Pseudo-differential operators with smooth symbols ... 99 for some constant C, provided N2 was chosen large enough. Hence, for any fixed s ≥ 0, it follows by choosing N3 large enough that |F (ϕβ,γ (x,ξ, · ))(η)| ≤ C〈η〉−s, (22) for some constant C. By choosing s > d, it follows from (21), (22) and straight-forward computations that Iβ,γ (x,ξ) = |(f,ei〈·,ξ〉χ0(· − x)ϕβ,γ (x,ξ, · − x))| = |F ((f τxχ0)ϕβ,γ (x,ξ, · − x))(ξ)| ≤ (2π)−d/2 ∫ |F (f τxχ0)(ξ − η)||F (ϕβ,γ (x,ξ, · − x))(η)|dη, ≤ C ∫ |Vχ0f(x,ξ − η)|χ0(η) dη, (23) where C = (2π) −d/2 ∫ sup x,ξ | ( F (ϕβ,γ (x,ξ, · − x))(η)| ) dη = (2π) −d/2 ∫ sup x,ξ | ( F (ϕβ,γ (x,ξ, · ))(η)| ) dη ≤ C1 ∫ 〈η〉−s dη < ∞. This gives (17), and the proof is complete. Proof of Theorem 3.2. We use the same notations as in Lemma 3.5, and set G = |Vχ(at( · ,D)f)|. Since ω0 ∈ P, it follows that ω0(x,ξ) ≤ Cω0(x,ξ − η)〈η〉s0 , for some constants C and s0. By Lemma 3.5 we get G(x,ξ)ω0(x,ξ) ≤ C1 ∫ F(x,ξ − η)〈η〉−sω0(x,ξ) dη ≤ C2 ∫ F(x,ξ − η)ω0(x,ξ − η)〈η〉s0−s dη, = C2 ∫ Fη,ω0 (x,ξ)〈η〉s0−s dη, for some constants C1 and C2, where Fη,ω0 (x,ξ) = F(x,ξ − η)ω0(x,ξ − η). 100 Joachim Toft CUBO 11, 4 (2009) Now choose s1,s2 ∈ R in such way that s1 = s−s0 and B is a translation invariant BF-space with respect to σs2 , and let ω1 = ω0ω. Then it follows for some constant C and Minkowki’s inequality that ‖at(x,D)f‖M(ω0)(B) = ‖Gω0‖B ≤ C1 ∫ ‖Fη,ω0‖B〈η〉−s1 dη ≤ C2 ∫ ‖F ω0‖B〈η〉s2−s1 dη = C3‖f‖M(ω0ω)(B), where C3 = C2‖σs2−s1‖L1. Since s can be chosen arbitrary large, it follows that s1 can be chosen larger than s2 + d, which implies that C3 < ∞. This gives the result. Next we show that [36, Theorem 2.2] is essentially a consequence of Theorem 3.2. Corollary 3.6. Assume that t ∈ R, ω ∈ P0(R2d), ω0 ∈ P(R2d) are such that ω(x,ξ) = ω(x) or ω(x,ξ) = ω(ξ), and that B is a translation invariant BF-space on R2d. Then ωt(x,D) is a homeomorphism from M(ω0ω)(B) to M(ω0)(B). Proof. Since it follows from the assumptions that ω ∈ S(ω), Theorem 3.2 shows that ωt(x,D) is continuous from M(ω0ω)(B) to M p,q (ω) (B). On the other hand, since ω(x,ξ) = ω(x) or ω(x,ξ) = ω(ξ), it follows that the inverse of ωt(x,D) on S ′ (Rd) is equal to (1/ω)t(x,D). Hence Theorem 3.2 together with the obvious fact that 1/ω ∈ P0 give ‖f‖M(ω0ω)(B) = ‖(1/ω)t(x,D)(ωt(x,D)f)‖M(ω0ω)(B) ≤ C‖ωt(x,D)f‖M(ω0)(B) for some constant C. This proves that ωt(x,D) is a bijective map from M(ω0ω)(B) to M(ω0)(B), and the result follows. Remark 3.7. We remark that an immediate consequence of Corollary 3.6 is that if B is a trans- lation invariant BF-space on R2d, ω(x,ξ) = ω1(x)ω2(ξ) where ωj ∈ P0(Rd) for j = 1, 2, and ω0 ∈ P(R2d), then M(ω0ω)(B) = {f ∈ S ′(Rd) ; ω1(x)ω2(D)f ∈ M(ω0)(B) } = {f ∈ S ′(Rd) ; ω2(D)(ω1f) ∈ M(ω0)(B) }. In particular, if s,t ∈ R, B = Lp,q 1 or B = L p,q 2 , and ω(x,ξ) = σs,t(x,ξ) = 〈x〉t〈ξ〉s, then M p,q (σs,tω0) (R d ) = {f ∈ S ′(Rd) ; 〈x〉t〈D〉sf ∈ Mp,q (ω0) (R d ) } = {f ∈ S ′(Rd) ; 〈D〉s(〈 · 〉tf) ∈ Mp,q (ω0) (R d ) } CUBO 11, 4 (2009) Pseudo-differential operators with smooth symbols ... 101 and W p,q (σs,tω0) (R d ) = {f ∈ S ′(Rd) ; 〈x〉t〈D〉sf ∈ W p,q (ω0) (R d ) } = {f ∈ S ′(Rd) ; 〈D〉s(〈 · 〉tf) ∈ W p,q (ω0) (R d ) }. Remark 3.8. For certain ω it is possible to use Remark 2.12 in [36] to prove that the continuity assertions in Theorem 3.2 also holds when the symbols for the pseudo-differential operators belong to M ∞,1 (ω) (R2d). Note that σs,t(x,D) here above, appears frequently in harmonic analysis and in the pseudo- differential calculus. For example, if p ∈ [1,∞], then recall that f ∈ S ′(Rd) belongs to the Sobolev space Hps (R d ) if and only if ‖f‖Hps ≡ ‖σs(D)f‖Lp is finite. It is well-known that if s = N is a positive integer and 1 < p < ∞, then Hps agrees with {f ∈ Lp ; ∂αf ∈ Lp when |α| ≤ N }. (See [2].) In the following theorems we prove that similar properties in a somewhat extended form also hold for general spaces of the form M(ω)(B). Theorem 3.9. Assume that N1,N2 ≥ 0 are integers, ω ∈ P(R2d), B is a translation invariant BF-spaces on R2d, and assume that f ∈ S ′(Rd). Then the following conditions are equivalent: 1. f ∈ M(σN1,N2 ω)(B); 2. xβ∂αf ∈ M(ω)(B) for all multi-indices α and β such that |α| ≤ N1 and |β| ≤ N2; 3. ∂α(xβf) ∈ M(ω)(B) for all multi-indices α and β such that |α| ≤ N1 and |β| ≤ N2; 4. f,xN2j f, ∂ N1 k f, x N2 j ∂ N1 k f ∈ M(ω)(B) for all 1 ≤ j,k ≤ d; 5. f,xN2j f, ∂ N1 k f, ∂ N1 k (x N2 j f) ∈ M(ω)(B) for all 1 ≤ j,k ≤ d. Proof. We only prove the equivalences (1) ⇐⇒ (2) ⇐⇒ (4). The equivalences (1) ⇐⇒ (3) ⇐⇒ (5) follow by similar arguments and are left for the reader. 102 Joachim Toft CUBO 11, 4 (2009) Let M0 be the set of all f ∈ M(ω)(B) such that xβ∂αf ∈ M(ω)(B) when |α| ≤ N1 and |β| ≤ N2, and let M̃0 be the set of all f ∈ M(ω)(B) such that x N2 j f,∂ N1 k f,x N2 j ∂ N1 k f ∈ M(ω)(B) for j,k = 1, . . . ,d. We shall prove that M0 = M̃0 = M(σN1,N2 ω)(B). Obviously, M0 ⊆ M̃0. Since the symbol ξα of the operator Dα belongs to S(σN1,N2 ) when |α| ≤ N, it follows from Theorem 3.2 that the embedding M(σN1,N2 ω)(B) ⊆ M0 holds. The result therefore follows if we prove that M̃0 ⊆ M(σN1,N2 ω)(B). In order to prove this, assume first that N1 = N, N2 = 0, f ∈ M̃0, and choose open sets Ω0 = {ξ ∈ Rd ; |ξ| < 2 }, and Ωj = {ξ ∈ Rd ; 1 < |ξ| < d|ξj| }. Then ⋃d j=0 Ωj = R d, and there are non-negative functions ϕ0, . . . ,ϕd in S 0 0 such that supp ϕj ⊆ Ωj and ∑d j=0 ϕj = 1. In particular, f = ∑d j=0 fj when fj = ϕj (D)f. The result follows if we prove that fj ∈ M(σN,0ω)(B) for every j. Now set ψ0(ξ) = σN (ξ)ϕ0(ξ) and ψj (ξ) = ξ −N j σN (ξ)ϕj (ξ) when j = 1, . . . ,d. Then ψj ∈ S00 for every j. Hence Theorem 3.2 gives ‖fj‖M(σN,0ω)(B) ≤ C1‖σN (D)fj‖M(ω)(B) = C1‖ψj (D)∂Nj f‖M(ω)(B) ≤ C2‖∂ N j f‖M(ω)(B) < ∞ and ‖f0‖M(σN,0ω)(B) ≤ C1‖σN (D)f0‖M(ω)(B) = C1‖ψ0(D)f‖M(ω)(B) ≤ C2‖f‖M(ω)(B) < ∞ for some constants C1 and C2. This proves that ‖f‖M(σN,0ω)(B) ≤ C ( ‖f‖M(ω)(B) + d∑ j=1 ‖∂Nj f‖M(ω)(B) ) , (24) and the result follows in this case. If we instead split up f into ∑ ϕjf, then similar arguments show that ‖f‖M(σ0,N ω)(B) ≤ C ( ‖f‖M(ω)(B) + d∑ k=1 ‖xNk f‖M(ω)(B) ) , (25) and the result follows in the case N1 = 0 and N2 = N from this estimate. The general case now follows if we combine (24) with (25). The proof is complete. CUBO 11, 4 (2009) Pseudo-differential operators with smooth symbols ... 103 We finish the section by stating the previous results in the special cases of modulation spaces and corresponding Wiener amalgam related spaces. In fact, by letting B = L p,q 1 or B = L p,q 2 , the following results are immediate consequences of the previous ones. Theorem 3.2′. Assume that ω,ω0 ∈ P(R2d), a ∈ S(ω)(R2d), t ∈ R, and that p,q ∈ [1,∞]. Then at(x,D) is continuous from M p,q (ω0ω) (Rd) to Mp,q (ω0) (Rd), and from W p,q (ω0ω) (Rd) to W p,q (ω0) (Rd). We note that if t = 0 and ω0 = σs1,s2 where s1,s2 ∈ R, then Theorem 3.2′ agrees with Theorem 1.1 in [30]. Corollary 3.6′. Assume that ω ∈ P0(R2d), ω0 ∈ P(R2d) are such that ω(x,ξ) = ω(x) or ω(x,ξ) = ω(ξ), and that p,q ∈ [1,∞]. Then ωt(x,D) is a homeomorphism from Mp,q(ω0ω)(R d ) to M p,q (ω0) (Rd), and from W p,q (ω0ω) (Rd) to W p,q (ω0) (Rd). Theorem 3.9′. Assume that N1,N2 ≥ 0 are integers, ω ∈ P(R2d), p,q ∈ [1,∞], and that f ∈ S ′(Rd). Then the following conditions are equivalent: 1. f ∈ Mp,q (σN1,N2 ω) (Rd); 2. xβ∂αf ∈ Mp,q (ω) (Rd) for all multi-indices α and β such that |α| ≤ N1 and |β| ≤ N2; 3. ∂α(xβf) ∈ Mp,q (ω) (Rd) for all multi-indices α and β such that |α| ≤ N1 and |β| ≤ N2; 4. f,xN2j f, ∂ N1 k f, x N2 j ∂ N1 k f ∈ M p,q (ω) (Rd) for all 1 ≤ j,k ≤ d; 5. f,xN2j f, ∂ N1 k f, ∂ N1 k (x N2 j f) ∈ M p,q (ω) (Rd) for all 1 ≤ j,k ≤ d. Theorem 3.9′′. Assume that N1,N2 ≥ 0 are integers, ω ∈ P(R2d), p,q ∈ [1,∞], and that f ∈ S ′(Rd). Then the following conditions are equivalent: 1. f ∈ W p,q (σN1,N2 ω) (Rd); 2. xβ∂αf ∈ W p,q (ω) (Rd) for all multi-indices α and β such that |α| ≤ N1 and |β| ≤ N2; 3. ∂α(xβf) ∈ W p,q (ω) (Rd) for all multi-indices α and β such that |α| ≤ N1 and |β| ≤ N2; 4. f,xN2j f, ∂ N1 k f, x N2 j ∂ N1 k f ∈ W p,q (ω) (Rd) for all 1 ≤ j,k ≤ d; 5. f,xN2j f, ∂ N1 k f, ∂ N1 k (x N2 j f) ∈ W p,q (ω) (Rd) for all 1 ≤ j,k ≤ d. The following result was presented in [39, Remark 1.3]. Since the facts here do not seems to be well-known, we give some explicit motivations. 104 Joachim Toft CUBO 11, 4 (2009) Corollary 3.10. Assume that p,q ∈ [1,∞] and ω ∈ P(R2d) is such that ω(x,ξ) = ω(x). Then the following is true: 1. Mp,q (ω) (Rd) →֒ C(Rd) if and only if q = 1; 2. W p,q (ω) (Rd) →֒ C(Rd) if and only if q = 1. Proof. By Corollary 3.6′ it follows that we may assume that ω = 1. If f ∈ W∞,1, then it follows that F (fϕ) ∈ L1 for every ϕ ∈ S , which implies that fϕ is a continuous function. Since ϕ ∈ S is arbitrary chosen, it follows that f is continuous. This gives M p,1 ⊆ W p,1 ⊆ W∞,1 ⊆ C, (26) which proves one part of the assertion. Next assume that q > 1, and let f be the characteristic function of the cube [0, 1]d. Then f /∈ C, and it follows by straight-forward computations that f ∈ W 1,q ⊆ M1,q. Since Mp,q and W p,q increases with the parameters p and q, it follows that M p,q * C, and W p,q * C, when q > 1. (27) Hence (26) and (27) give the result. Remark 3.11. 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