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1.
Gauss's (2n+1)-point trigonometric interpolation formula, based upon f(xi), i = 1(1)2n+1, gives a trigonometric sum of the nth order, S2n+1(x = a0 + ∑jn = 1(ajcos jx + bjsin jx), which may be integrated to provide formulas for either direct quadrature or stepwise integration of differential equations having periodic (or near-periodic) solutions. An “orthogonal” trigonometric sum S2r+1(x) is one that satisfies
abS2r+1(x)S2r′+1(x)dx=0, r′<r
and two other arbitrarily imposable conditions needed to make S2r1(x) unique. Two proofs are given of a fundamental factor theorem for any S2n+1(x) (somewhat different from that for polynomials) from which we derive 2r-point Gaussian-type quadrature formulas, r = [n/2] + 1, which are exact for any S4r?1(x). We have
abS4r?1(x)dx=∑j=12rAjS4r?1(xj)
where the nodes xj, j = 1(1)2r, are the zeros of the orthogonal S2r+1(x). It is proven that Aj > 0 and that 2r-1 of the nodes must lie within the interval [a,b], and the remaining node (which may or may not be in [a,b]) must be real. Unlike Legendre polynomials, any [a′,b′] other than a translation of [a,b], requires different and unrelated sets of nodes and weights. Gaussian-type quadrature formulas are applicable to the numerical integration of the Gauss (2n+1)-point interpolation formulas, with extra efficiency when the latter are expressed in barycentric form. S2r+1(x), xjandAj, j = 1(1)2r, were calculated for [a,b] = [0, π/4], 2r = 2 and 4, to single-precision accuracy.  相似文献   

2.
In this paper, the problem of phase reconstruction from magnitude of multidimensional band-limited functions is considered. It is shown that any irreducible band-limited function f(z1…,zn), zi ? C, i=1, …, n, is uniquely determined from the magnitude of f(x1…,xn): | f(x1…,xn)|, xi ? R, i=1,…, n, except for (1) linear shifts: i(α1z1+…+αn2n+β), β, αi?R, i=1,…, n; and (2) conjugation: f1(z11,…,zn1).  相似文献   

3.
A theory of scattering for the time dependent evolution equations dudt = iHj(t)u, j = 0, 1 (1) is developed. The wave operators are defined in terms of the evolution operators Uj(t, s), which govern (1). The scattering operator remains unitary. Sufficient conditions for existence and completeness of the wave operators are obtained; these are the main results. General properties, such as the chain rule and various intertwining relations, are also established. Applications include potential scattering (H0(t) = ?Δ, Δ denoting the Laplacian, and H1(t) = ?Δ + q(t, ·)) and scattering for second-order differential operators with coefficients constant in the spatial variable (Hj(t) = ∑m, k = 1n amk(j)(t)(?2?xm ?xk) + bj(t) for j = 0, 1).  相似文献   

4.
Let L = ∑j = 1mXj2 be sum of squares of vector fields in Rn satisfying a Hörmander condition of order 2: span{Xj, [Xi, Xj]} is the full tangent space at each point. A point x??D of a smooth domain D is characteristic if X1,…, Xm are all tangent to ?D at x. We prove sharp estimates in non-isotropic Lipschitz classes for the Dirichlet problem near (generic) isolated characteristic points in two special cases: (a) The Grushin operator ?2?x2 + x2?2?t2 in R2. (b) The real part of the Kohn Laplacian on the Heisenberg group j ? 1n (??xj + 2yj??t)2 + (??yj ? 2xj??t)2 in R2n + 1. In contrast to non-characteristic points, C regularity may fail at a characteristic point. The precise order of regularity depends on the shape of ?D at x.  相似文献   

5.
This paper presents a demonstrably convergent method of feasible directions for solving the problem min{φ(ξ)| gi(ξ)?0i=1,2,…,m}, which approximates, adaptively, both φ(x) and ▽φ(x). These approximations are necessitated by the fact that in certain problems, such as when φ(x) = max{f(x, y) ¦ y ? Ωy}, a precise evaluation of φ(x) and ▽φ(x) is extremely costly. The adaptive procedure progressively refines the precision of the approximations as an optimum is approached and as a result should be much more efficient than fixed precision algorithms.It is outlined how this new algorithm can be used for solving problems of the form miny ? Ωxmaxy ? Ωyf(x, y) under the assumption that Ωmξ={x|gi(x)?0, j=1,…,s} ∩Rn, Ωy={y|ζi(y)?0, i-1,…,t} ∩ Rm, with f, gj, ζi continuously differentiable, f(x, ·) concave, ζi convex for i = 1,…, t, and Ωx, Ωy compact.  相似文献   

6.
7.
An elementary proof is given of the author's transformation formula for the Lambert series Gp(x) = Σn?1 n?pxn(1?xn) relating Gp(e2πiτ) to Gp(e2πiAτ), where p > 1 is an odd integer and Aτ = (aτ + b)(cτ + d) is a general modular substitution. The method extends Sczech's argument for treating Dedekind's function log η(τ) = πiτ12 ? G1(e2πiτ), and uses Carlitz's formula expressing generalized Dedekind sums in terms of Eulerian functions.  相似文献   

8.
Let Nm(x) be the number of arithmetic progressions that consist of m terms, all primes and not larger than x, and set Fm(x) = Cmx2logmx (Cm explicitly given). It is shown that Hardy and Littlewood's prime k-tuple conjecture implies that Nm(x) = Fm(x){1 + Σj=1Najlog?jx + O((log x)?N?1)}, (here the bracket represents an asymptotic series with explicitly computable coefficients). This formula holds rather trivially for m = 1 and m = 2. It is proved here for m = 3, by the Vinogradov version of the Hardy-Ramanujan-Littlewood circle method.  相似文献   

9.
Let Xj = (X1j ,…, Xpj), j = 1,…, n be n independent random vectors. For x = (x1 ,…, xp) in Rp and for α in [0, 1], let Fj1(x) = αI(X1j < x1 ,…, Xpj < xp) + (1 ? α) I(X1jx1 ,…, Xpjxp), where I(A) is the indicator random variable of the event A. Let Fj(x) = E(Fj1(x)) and Dn = supx, α max1 ≤ Nn0n(Fj1(x) ? Fj(x))|. It is shown that P[DnL] < 4pL exp{?2(L2n?1 ? 1)} for each positive integer n and for all L2n; and, as n → ∞, Dn = 0((nlogn)12) with probability one.  相似文献   

10.
Orthogonal polynomials on the multivariate negative binomial distribution,
(1 + Θ)?α?x(πj=0pΘjxjxj!) Γ(α + x)Γ(α)
where α > 0, Θ1 > 0, x = ΣΘi, x0, x1, …, xp = 0,1, … are constructed and their properties studied.  相似文献   

11.
12.
Let p, q be arbitrary parameter sets, and let H be a Hilbert space. We say that x = (xi)i?q, xi ? H, is a bounded operator-forming vector (?HFq) if the Gram matrixx, x〉 = [(xi, xj)]i?q,j?q is the matrix of a bounded (necessarily ≥ 0) operator on lq2, the Hilbert space of square-summable complex-valued functions on q. Let A be p × q, i.e., let A be a linear operator from lq2 to lp2. Then exists a linear operator ǎ from (the Banach space) HFq to HFp on D(A) = {x:x ? HFq, A〈x, x〉12 is p × q bounded on lq2} such that y = ǎx satisfies yj?σ(x) = {space spanned by the xi}, 〈y, x〉 = Ax, x〉 and 〈y, y〉 = A〈x, x〉12(A〈x, x〉12)1. This is a generalization of our earlier [J. Multivariate Anal.4 (1974), 166–209; 6 (1976), 538–571] results for the case of a spectral measure concentrated on one point. We apply these tools to investigate q-variate wide-sense Markov processes.  相似文献   

13.
Si studia, in un cilindro, il problema di Dirichlet per l'equazione ellittica del II ordine: Lαu = ?, dove Lα = αΔ + (1 ? 3α)∑ij = 12 xixj(x12 + x22)?1?2?xi?xj, α ? (0, 13]è l'operatore a coefficienti discontinui sull'asse x3 già introdotto da N. Ural'tseva per mostrare che l'equazione considerata può non avere soluzione nello spazio di Sobolev W2,p(p > 2) per qualche f?Lp. In questo lavoro si danno limitazioni a priori e teoremi di esistenza e unicità in W2,p quando p varia in un intervallo (p1(α), p2(α)), dipendente dalla costante di ellitticità α. Se p = p2(α) le limitazioni a priori cadono: l'esempio è quello di Ural'tseva.  相似文献   

14.
A technique for the numerical approximation of matrix-valued Riemann product integrals is developed. For a ? x < y ? b, Im(x, y) denotes
χyχv2?χv2i=1mF(νi)dν12?dνm
, and Am(x, y) denotes an approximation of Im(x, y) of the form
(y?x)mk=1naki=1mF(χik)
, where ak and yik are fixed numbers for i = 1, 2,…, m and k = 1, 2,…, N and xik = x + (y ? x)yik. The following result is established. If p is a positive integer, F is a function from the real numbers to the set of w × w matrices with real elements and F(1) exists and is continuous on [a, b], then there exists a bounded interval function H such that, if n, r, and s are positive integers, (b ? a)n = h < 1, xi = a + hi for i = 0, 1,…, n and 0 < r ? s ? n, then
χr?χs(I+F dχ)?i=rsI+j=1pIji?1i)
=hpH(χr?1s)+O(hp+1)
Further, if F(j) exists and is continuous on [a, b] for j = 1, 2,…, p + 1 and A is exact for polynomials of degree less than p + 1 ? j for j = 1, 2,…, p, then the preceding result remains valid when Aj is substituted for Ij.  相似文献   

15.
Let X be a Banach space, let B be the generator of a continuous group in X, and let A = B2. Assume that D(Ar) is dense in X for r an arbitrarily large positive integer and that a and b are non-negative reals. Solution representations are developed for the abstract differential equation
(D2t + bt Dt ? A) · (D2t + at Dt ? A) u(t) = 0, t > 0
corresponding to initial conditions of the form: (i) u(0+) = φ, u(j)(0+) = 0, j = 1, 2, 3 and (ii) u2(0+) = φ, uj(0+) = 0, j = 0, 1, 3 (with φD(Ar)) for all choices of a and b.  相似文献   

16.
Let Kn= {x ? Rn: (x12 + · +x2n?1)12 ? xn} be the n-dimensional ice cream cone, and let Γ(Kn) be the cone of all matrices in Rnn mapping Kn into itself. We determine the structure of Γ(Kn), and in particular characterize the extreme matrices in Γ(Kn).  相似文献   

17.
Let Z(Sn;?(x)) denote the polynomial obtained from the cycle index of the symmetric group Z(Sn) by replacing each variable si by f(x1). Let f(x) have a Taylor series with radius of convergence ? of the form f(x)=xk + ak+1xk+1 + ak+2xk+2+? with every a1?0. Finally, let 0<x<1 and let x??. We prove that
limn→∞Z(Sn;?(x))xkn = Πi=1k(1?xi)?ak+1
This limit is used to estimate the probability (for n and p both large) that a point chosen at random from a random p-point tree has degree n + 1. These limiting probabilities are independent of p and decrease geometrically in n, contrasting with the labeled limiting probabilities of 1n!e.In order to prove the main theorem, an appealing generalization of the principle of inclusion and exclusion is presented.  相似文献   

18.
Let H1 = ?∑i = 1Ni + V(xi)) + ∑1 ? i <j ? N¦xi ? xj¦?1, V(xi) = N ∝ ¦x ? y¦?1 ?(y)dy, with ? a normalized Gaussian. Suppose E ≠ 0 and that H = H1 + E · (∑i = 1Nxi) has no eigenfunctions in L2(R3N. If H1ψ = μψ with μ < infσess(H1), then (ψ, e?itHψ) decays exponentially at a rate governed by the positions of the resonances of H.  相似文献   

19.
The matrices of order n defined, in terms of the n arbitrary numbers xj, by the formulae X=diag(xj) and Zjkjk∑′l=1n(xj?xl)?1+(1?δ jk(xj?xk)?1, are representations of the multiplicative operator ξ and of the differential operator d/dξ in a space spanned by the polynomials in ξ of degree less than n. This elementary fact implies a number of remarkable formulae involving these matrices, including novel representations of the classical polynomials.  相似文献   

20.
It is known that the classical orthogonal polynomials satisfy inequalities of the form Un2(x) ? Un + 1(x) Un ? 1(x) > 0 when x lies in the spectral interval. These are called Turan inequalities. In this paper we will prove a generalized Turan inequality for ultraspherical and Laguerre polynomials. Specifically if Pnλ(x) and Lnα(x) are the ultraspherical and Laguerre polynomials and Fnλ(x) = Pnλ(x)Pnλ(1), Gnα(x) = Lnα(x)Lnα(0), then Fnα(x) Fnβ(x) ? Fn + 1α(x) Fn ? 1β(x) > 0, ? 1 < x < 1, ?12 < α ? β ? α + 1 and Gnα(x) Gnβ(x) ? Gn + 1α(x) Gn ? 1β(x) > 0, x > 0, 0 < α ? β ? α + 1. We also prove the inequality (n + 1) Fnα(x) Fnβ(x) ? nFn + 1α(x) Fn ? 1β(x) > An[Fnα(x)]2, ?1 < x < 1, ?12 < α ? β < α + 1, where An is a positive constant depending on α and β.  相似文献   

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