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Diverse Smooth Function Of Class Width And Optimal Recovery

Posted on:2002-11-13Degree:DoctorType:Dissertation
Country:ChinaCandidate:G Q XuFull Text:PDF
GTID:1110360155451953Subject:Basic mathematics
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This dissertation includes three chapters. In chapter 1, we study the approximation of multivariate Sobolev classes and multivariate Besov classes by multivariate polynomial splines and the optimal recovery of multivariate Sobolev classes and multivariate Besov classes. In chapter 2, we study the approximation of multivariate Sobolev classes and multivariate Besov classes by multivariate trigonometric polynomial splines and the approximation of multivariate Sobolev classes and multivariate Besov classes by the exponential type integral functions. In chapter 3, we discuss the n-widths of Generalized Besov classes in the Sobolev classes.Let (X(Rd), || ? ||x) be a normed space of real functions on Rd. Let α > 0 and Pα be the operator in X(Rd) defined by Pαf(x) = Xα(x)f(x) (where Xα(x) is the characteristic function of the cube Iαd = [-α,α]d ). Let L be a subspace of X(Rd). Set PαL = {Pαf : f ∈ L}. Suppose L is locally-finite dimensional, i.e., dim(PαL,X(Rd)) < +∞ for every α > 0. Then the following quantity is said to be the average dimension of L in X (in the sense of LFD).Let σ > 0, and C be a centrally symmetric subset of X(Rd). The infinite-dimensional Kolmogorov σ-width of C in X(Rd) is defined to bewhere the infimum is taken over all L with [(dim)|~](L,X(Rd)) ≤ σ.The infinite-dimensional linear σ-width of C in X(Rd) is defined to bewhere the infimum is taken over all A which are continuous linear operators from span(C) to X(Rd) and [(dim)|~](Im∧, X(Rd)) ≤ σ, Im∧ denotes the range of the operator ∧. The infinite-dimensional Bernstein σ-width of C in X(Rd) is defined to bebσ(C,X(Rd)) := sup sup{λ > 0 | L∩λBX(Rd) (?) C},where the supremum is taken over all L with [(dim)|~] (L, X(Rd)) ≤ a and dσ (L∩BX (Rd), X (Rd))= 1, and BX(Rd) denote the unit ball in X(Rd).Let L be a subspace of X(Rd), ε > 0, andkε(α,L,X(Rd)) := min{n ∈ Z+|dn(Pα(L∩BX(Rd)),X(Rd)) < ε}.The quantityis said to be the average dimension of L in X.The average Kolmogorov σ-width, the average linear σ-width, and the average Bernstein σ-width of C in X(Rd) are defined similarly (see [9]). and we denote them by dσ(C,X(Rd)), 3σ(C,X(Rd)), and bσ(C,X(Rd)), respectively.For 1 ≤ p, g ≤ ∞, denote by Lpq(Rd) the linear normed space of locally Lp-integrable functions f with the following finite normFor 1 ≤ p, q ≤ ∞, r ∈ N, the isotropic Sobolev-Wiener classes Wpqr(Rd) are defined to beFor 1 ≤ p, q ≤ ∞,r = (r1, … ,rd) ∈ Nd,M = (M1,…, Md) ∈ R+d, the anisotropic Sobolev-Wiener classes Wpqr(M, Rd) are defined to beFor σ > 1, let ρ = 1, … ,d. The multivariate polynomial spline space Sσ,r-1(Rd) is defined to beLet ∏n denote the collection of all polynomials of degree not exceeding n. Denote by Ln(x) the cardinal spline satisfying conditions:1) Ln(x) ∈ Sn = {s:s∈ Cn-1(R),s|(v,v+1) ∈ ∏n,(?) ∈ z},2) Ln(αn + v) = δαv, v ∈ Z, where αn = (1 + (-l)n-1)/43) |Ln(x)| ≤ Ae-B|x| x ∈ R, for some positive constants A and B.For j = where Liu Yongping [29], Luo Junbo, Liu Yongping [35] discussed the average Kolmogorov σ-width of Sobolev-Wiener classes. When d=1, Magaril-Il'yaev [9], Li Chun [42], etc. discussed the approximation of Sobolev classes by the cardinal spline interpolation operator, and obtained the infinite-dimensional σ-widths of Sobolev classes. In this paper. We obtainTheorem 1.1 Let 1 ≤ q ≤ p ≤ ∞. σ > 1. ThenDenote by X*(Rd) the dual space X(Rd). The average codimension can be different values for the same subspace according to the definition of Magaril-Il'yaev G.G. [9] and the functions what he used G(f) = f(xj), (?)f ∈ Lp(Rd) does not belong to Lp*(Rd) for 1 ≤ p ≤ ∞. To improve it, professor Sun Yongsheng give the following definition of the infinite-dimensional Gel'fand σ-width.Let X*(Rd) also be a normed linear space on Rd. For σ > 0, we take the annulling class Rσ which consists of all linear subspace of X*(Rd) with the locally finite dimensional property, and moreover, f...
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