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1.
2.
Let {X n } n0 be a Harris recurrent Markov chain with state space E, transition probability P(x, A) and invariant measure , and let f be a real measurable function on E. We prove that with probability one,
under some best possible conditions.  相似文献   

3.
In this paper,the parameterized Marcinkiewicz integrals with variable kernels defined by μΩ^ρ(f)(x)=(∫0^∞│∫│1-y│≤t Ω(x,x-y)/│x-y│^n-p f(y)dy│^2dt/t1+2p)^1/2 are investigated.It is proved that if Ω∈ L∞(R^n) × L^r(S^n-1)(r〉(n-n1p'/n) is an odd function in the second variable y,then the operator μΩ^ρ is bounded from L^p(R^n) to L^p(R^n) for 1 〈 p ≤ max{(n+1)/2,2}.It is also proved that,if Ω satisfies the L^1-Dini condition,then μΩ^ρ is of type(p,p) for 1 〈 p ≤ 2,of the weak type(1,1) and bounded from H1 to L1.  相似文献   

4.
We prove that theTrudinger-Moser constant
  相似文献   

5.
6.
If
denotes the error term in the classical Rankin-Selberg problem, then it is proved that
where Δ1(x) = ∫ x 0 Δ(u)du. The latter bound is, up to ‘ɛ’, best possible. Received: 8 February 2007  相似文献   

7.
Suppose thatG is a finitely connected domain with rectifiable boundary γ, ∞εG, the domainsD 1,...,D s are the complements ofG, the subsetsF j ⊂D j are infinite and compact,n j ≥1,j=1,...,s, are integers, λ0 is a complex-valued measure on γ, and
We consider the extremum problem
where μ j ,j=1,...,s, are complex-valued measures onF j and
are Golubev sums. We prove that β=Δ, where
We also establish several other relations between these and other extremal variables. Translated fromMatematicheskie Zametki, Vol. 65, No. 5, pp. 738–745, May, 1999.  相似文献   

8.
Пустьl 1 иl 2 — неотрицательные убывающие функции на (0, ∞). Допустим, что $$\int\limits_0^\infty {S^{n_i - 1} l_i (S)\left( {1 + \log + \frac{1}{{S^{n_i } l_i (S)}}} \right)dS}< \infty ,$$ , гдеn 1 иn 2 — натуральные числа. Тогда для каждой функции \(f \in L^1 (R^{n_1 + n_2 } )\) при почти всех (x0, у0) мы имеем $$\mathop {\lim }\limits_{\lambda \to \infty } \lambda ^{n_1 + n_2 } \int\limits_{R^{n_1 } } {\int\limits_{R^{n_2 } } {l_1 } } (\lambda |x|)l_2 (\lambda |y|)f(x_0 - x,y_0 - y)dx dy = f(x_0 ,y_0 )\int\limits_{R^{n_1 } } {\int\limits_{R^{n_2 } } {l_i (|x|)l_2 } } (|y|)dx dy.$$   相似文献   

9.
Under additional conditions on a bounded normally distributed random function X = X( t), t ∈ T, we establish a relation of the form
where are independent copies of , and (a n) and (b n) are numerical sequences. Translated from Ukrainskii Matematicheskii Zhurnal, Vol. 50, No. 10, pp. 1359–1365, October, 1998.  相似文献   

10.
Let n ≥ 1 be an integer and let P n be the class of polynomials P of degree at most n satisfying z n P(1/z) = P(z) for all zC. Moreover, let r be an integer with 1 ≤ rn. Then we have for all PP n :
$ \alpha _n (r)\int_0^{2\pi } {|P(e^{it} )|^2 dt} \leqslant \int_0^{2\pi } {|P^r (e^{it} )|^2 dt} \leqslant \beta _n (r)\int_0^{2\pi } {|P(e^{it} )|^2 dt} $ \alpha _n (r)\int_0^{2\pi } {|P(e^{it} )|^2 dt} \leqslant \int_0^{2\pi } {|P^r (e^{it} )|^2 dt} \leqslant \beta _n (r)\int_0^{2\pi } {|P(e^{it} )|^2 dt}   相似文献   

11.
We show that the Hardy operator
Hf(x) = \frac1xò0x f(t)dt Hf(x) = \frac{1}{x}\mathop {\int }\limits_0^x f(t)dt  相似文献   

12.
Necessary and sufficient conditions are derived in order that an inequality of the form
  相似文献   

13.
Let τ(n) be the Ramanujan τ-function, x ≥ 10 be an integer parameter. We prove that
We also show that
where ω(n) is the number of distinct prime divisors of n and p denotes prime numbers. These estimates improve several results from [6, 9]. Received: 23 November 2006  相似文献   

14.
Equivalence theorems concerning the convergence of the Bernstein polynomialsB n f are well known for continuous functionsf in the sup-norm. The purpose of this paper is to extend these results for functionsf, Riemann integrable on [0, 1], We have therefore to consider the seminorm
  相似文献   

15.
Let λ(n) be the Liouville function. We find a nontrivial upper bound for the sum
$ \sum\limits_{X \leqslant n \leqslant 2X} {\lambda (n)e^{2\pi i\alpha \sqrt n } } ,0 \ne \alpha \in \mathbb{R} $ \sum\limits_{X \leqslant n \leqslant 2X} {\lambda (n)e^{2\pi i\alpha \sqrt n } } ,0 \ne \alpha \in \mathbb{R}   相似文献   

16.
Let rN, α, tR, xR 2, f: R 2C, and denote $ \Delta _{t,\alpha }^r (f,x) = \sum\limits_{k = 0}^r {( - 1)^{r - k} c_r^k f(x_1 + kt\cos \alpha ,x_2 + kt\sin \alpha ).} $ In this paper, we investigate the relation between the behavior of the quantity $ \left\| {\int\limits_E {\Delta _{t,\alpha }^r (f, \cdot )\Psi _n (t)dt} } \right\|_{p,G} , $ as n → ∞ (here, E ? R, G ∈ {R 2, R + 2 }, and ψ n L 1(E) is a positive kernel) and structural properties of function f. These structural properties are characterized by its “directional” moduli of continuity: $ \omega _{r,\alpha } (f,h)_{p,G} = \mathop {\sup }\limits_{0 \leqslant t \leqslant h} \left\| {\Delta _{t,\alpha }^r (f)} \right\|_{p,G} . $ Here is one of the results obtained. Theorem 1. Let E and A be intervals in R + such that A ? E, fL p (G), α ∈ [0, 2π] when G =R 2 and α ∈ [0, π/2] when G = R + 2 Denote Δ n, k = ∫ A t k ψ n (t)dt. If there exists an rN such that, for any mN, we have Δ m, r > 0, Δ m, r + 1 < ∞, and $ \mathop {\lim }\limits_{n \to \infty } \frac{{\Delta _{n,r + 1} }} {{\Delta _{n,r} }} = 0,\mathop {\lim }\limits_{n \to \infty } \Delta _{n,r}^{ - 1} \int\limits_{E\backslash A} {\Psi _n = 0} , $ then the relations $ \mathop {\lim }\limits_{n \to \infty } \Delta _{n,r}^{ - 1} \left\| {\int\limits_E {\Delta _{t,\alpha }^r (f, \cdot )\Psi _n dt} } \right\|_{p,G} \leqslant K, \mathop {\sup }\limits_{t \in (0,\infty )} t^r \omega _{r,\alpha } (f,t)_{p,G} \leqslant K $ are equivalent. Particular methods of approximation are considered. We establish Corollary 1. Let p, G, α, and f be the same as in Theorem 1, and $ \sigma _{n,\alpha } (f,x) = \frac{2} {{\pi n}}\int\limits_{R_ + } {\Delta _{t,\alpha }^1 (f,x)} \left( {\frac{{\sin \frac{{nt}} {2}}} {t}} \right)^2 dt. $ Then the relations $ \mathop {\underline {\lim } }\limits_{n \to \infty } \frac{{\pi n}} {{\ln n}}\left\| {\sigma _{n,\alpha } (f)} \right\|_{p,G} \leqslant K Let rN, α, tR, xR 2, f: R 2C, and denote
In this paper, we investigate the relation between the behavior of the quantity
as n → ∞ (here, ER, G ∈ {R 2, R +2}, and ψ n L 1(E) is a positive kernel) and structural properties of function f. These structural properties are characterized by its “directional” moduli of continuity:
Here is one of the results obtained. Theorem 1. Let E and A be intervals in R + such that AE, fL p (G), α ∈ [0, 2π] when G =R 2 and α ∈ [0, π/2] when G = R +2 Denote Δ n, k = ∫ A t k ψ n (t)dt. If there exists an rN such that, for any mN, we have Δ m, r > 0, Δ m, r + 1 < ∞, and
then the relations
are equivalent. Particular methods of approximation are considered. We establish Corollary 1. Let p, G, α, and f be the same as in Theorem 1, and
Then the relations and are equivalent. Original Russian Text ? N.Yu. Dodonov, V.V. Zhuk, 2008, published in Vestnik Sankt-Peterburgskogo Universiteta. Seriya 1. Matematika, Mekhanika, Astronomiya, 2008, No. 2, pp. 23–33.  相似文献   

17.
For a trigonometric series
defined on [−π, π) m , where V is a certain polyhedron in R m , we prove that
if the coefficients a k satisfy the following Sidon-Telyakovskii-type conditions:
Translated from Ukrains’kyi Matematychnyi Zhurnal, Vol. 60, No. 5, pp. 579–585, May, 2008.  相似文献   

18.
The distributionF(x +, −r) Inx+ andF(x , −s) corresponding to the functionsx + −r lnx+ andx −s respectively are defined by the equations
(1) and
(2) whereH(x) denotes the Heaviside function. In this paper, using the concept of the neutrix limit due to J G van der Corput [1], we evaluate the non-commutative neutrix product of distributionsF(x +, −r) lnx+ andF(x , −s). The formulae for the neutrix productsF(x +, −r) lnx + ox −s, x+ −r lnx+ ox −s andx −s o F(x+, −r) lnx+ are also given forr, s = 1, 2, ...  相似文献   

19.
In this paper we prove that the maximal commutator of singular integral operator [b, T]* satisfies the inequality:
where f is any smooth function with compact support, λ>0 and C is a positive constant independent of f and λ.  相似文献   

20.
The asymptotic expressions of the covariance matrices for both the least square estimates L α T and Markov (best linear) estimates are obtained, based on a sample in a finite interval (0, T) of the regression co-efficients α = (α 1, …, α m 0)′ of a parameter-continuous process with a stationary residual. We assume that the regression variables φ ν(t), t ⩾ 0, ν = 1, …, m 0, are continuous in t, and satisfy conditions (3.1)–(3.3). For the residual, we assume that it is a stationary process that possesses a bounded continuous spectral density f(λ). Under these assumptions, it is proven that
where the matrices D T , B(0), α(λ) are defined in Section 3. Under the assumptions mentioned above, if, furthermore, there exist some positive integer m and a constant C such that g(λ)(1 + λ 2)mC > 0, where g(λ) is the spectral density of the residual, and for every N > 0,
converge uniformly in h, l ∈ (−N, N), then the following formula holds.
The asymptotic equivalence of the least square estimates and the Markov estimates is also discussed. Translated by Wang Ting from the Chinese version of the paper published in Journal of Beijing Normal University (Natural Sciences), 1965, 1: 15–44  相似文献   

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