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We noticed an increased interest in studies of nuclear- ity in the last years. Dealing with the Sobolev embedding for spaces on a bounded domain, some of the recent papers we have in mind are [4, 5, 7, 8, 31] using quite different techniques however. There might be several reasons for this. For example, the problem to describe a compact operator outside the Hilbert space setting is a partly open and very important one. It is well known from the remarkable Enflo result [9] that there are compact operators between Banach spaces which cannot be approximated by finite-rank operators. This led to a number of – meanwhile well-established and famous – methods to circumvent this difficulty and find alternative ways to ‘measure’ the compactness or ‘degree’ of compactness of an operator. It can be described by the asymptotic behaviour of its approximation or entropy numbers, which are basic tools for many different problems nowadays, e.g. eigenvalue distribution of compact operators in Banach spaces, optimal approximation of Sobolev-type embeddings, but also for numerical questions. In all these problems, the decomposition of a given compact operator into a series is an essential proof technique. It turns out that in many of the recent contributions [4,5,31] studying nuclearity, a key tool in the arguments are new decomposition techniques as well, adapted to the different spaces. Inspired by the nice paper [4] we also used such arguments in our paper [11], and intend to follow this strategy here again. We have two goals in this paper: we want to inquire into the nature of compact embeddings when the function spaces of Besov and Triebel-Lizorkin type are defined on certain unbounded domains. It is well known, that such function spaces defined on Rd never admit a compact, let alone nuclear embedding. But replacing Rd by a bounded Lipschitz domain Ω ⊂ Rd, then the question of nuclearity has already been solved, cf. [18] (with a forerunner in [23]) for the sufficient conditions, and the recent paper [31] with some forerunner in [18] and partial results in [7, 8] for the necessity of the conditions. In [11] we also contributed a little to these s questions. More precisely, for Besov spaces on bounded Lipschitz domains, Bp,q(Ω), it is well known that B Bs1 ֒ Bs2 idΩ : p1,q1 (Ω) → p2,q2 (Ω) is nuclear if, and only if, 1 1 s − s > d − d max − , 0 , 1 2 p p 2 1 where 1 ≤ pi, qi ≤ ∞, si ∈ R, i = 1, 2. So a natural question appears whether for some un- bounded domains compactness, or now nuclearity, of the corresponding embedding is possi- ble. This question has already been answered in the affirmative, concerning special, so-called quasi-bounded domains, and its compactness. In [6, 15, 16] the above-mentioned ‘degree’ of this compactness has been characterised in terms of the asymptotic behaviour of s-numbers B and entropy numbers of idΩ . Now we study its nuclearity and find almost complete char- acterisations below, depending on some number b(Ω) which describes the size of such an unbounded domain; we refer for all definitions and details to Section 3. We find, in The- orem 3.16 below, that for domains Ω with b(Ω) = ∞, there is a nuclear embedding if, and only if, we are in the extremal situation p1 = 1, p2 = ∞, and s1 − s2 > d, while in the case b(Ω) < ∞ the conditions look more similar to the above ones for bounded domains; e.g., for B such quasi-bounded domains idΩ is nuclear, if 1 1 b(Ω) s − s − d − > , 1 2 p p t(p ,p ) 1 2 1 2 1 where 1 ≤ pi, qi ≤ ∞, i = 1, 2, s1 > s2, and the new quantity t(p1,p2) is defined by = t(p1,p2) 1 − max( 1 − 1 , 0). For bounded Lipschitz domains Ω one has b(Ω) = d and then the above- p1 p2 mentioned previous result is recovered. As already indicated, we follow here the general ideas presented in [4] which use decomposition techniques and benefit from Tong’s result [25] about nuclear diagonal operators acting in sequence spaces of type ℓp. In our situation, however, Mj it turned out that we need more general vector-valued sequence spaces of type ℓq(βj ℓp ), cf. Definition 1.1 below. So we were led to the study of the embedding
ℓ β ℓMj ֒ ℓ ℓMj idβ : q1 ( j p1 ) → q2 ( p2 )
2 in view of its nuclearity. Concerning its compactness this has already been investigated in [13,14], but we did not find the corresponding nuclearity result in the literature and decided to study this question first. We tried to follow Tong’s ideas in [25] as much as possible and could finally prove that for 1 ≤ pi, qi ≤ ∞, i =1, 2,
1 t −1 (p1,p2) idβ is nuclear if, and only if, βj Mj ∈ ℓt(q1,q2). N j∈ 0 This is the first main outcome of our paper and, to the best of our knowledge, also the first result in this direction. In case of Mj ≡ 1 this coincides with Tong’s result [25]. The paper is organised as follows. In Section 1 we recall basic facts about the sequence and function spaces we shall work with, Section 2 is devoted to the question of nuclear embed- dings in general vector-valued sequence spaces, with our first main outcome in Theorem 2.9. In Section 3 we return to the setting of function spaces, now appropriately extended to func- tion spaces on certain unbounded, so-called quasi-bounded domains. We are able to prove an almost complete result for the corresponding Besov spaces on quasi-bounded domains in Theorem 3.16, using appropriate wavelet decompositions and our findings in Section 2. Fi- nally this also leads to a corresponding result for Triebel-Lizorkin spaces on quasi-bounded domains.
1 Sequence and function spaces
We start to define the sequence spaces and function spaces we are interested in. First of all we need to fix some notation. By N we denote the set of natural numbers, by N0 the set N∪{0}, and by Zd the set of all lattice points in Rd having integer components. R Let a+ = max(a, 0), a ∈ . For two positive real sequences (ak)k∈N0 and (bk)k∈N0 we mean by ak ∼ bk that there exist constants c1,c2 > 0 such that c1ak ≤ bk ≤ c2ak for all k ∈ N0; similarly for positive functions. Given two (quasi-) Banach spaces X and Y , we write X ֒→ Y if X ⊂ Y and the natural embedding of X in Y is continuous. All unimportant positive constants will be denoted by c, occasionally with subscripts. For convenience, let both dx and | · | stand for the (d-dimensional) Lebesgue measure in the sequel.
1.1 Sequence spaces We begin with the definition of weighted vector-valued sequence spaces. We consider a gen- ∞ ∞ eral weight sequence (βj )j=0 of positive real numbers and and a sequence (Mj )j=0 of positive integers that are dimensions of finite-dimensional vector spaces.
Definition 1.1. Let 0 < p,q ≤ ∞, (βj )j∈N0 be a weight sequence, that is βj > 0, and (Mj )j∈N0 be a sequence of natural numbers. Then
Mj C ℓq βj ℓp = x = (xj,k)j∈N0,k=1,...,Mj : xj,k ∈ ,