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1.
We consider the problem of finding uL 2(I ), I = (0, 1), satisfying I u (x )x dx = μ k , where k = 0, 1, 2, …, (α k ) is a sequence of distinct real numbers greater than –1/2, and μ = (μ kl ) is a given bounded sequence of real numbers. This is an ill‐posed problem. We shall regularize the problem by finite moments and then, apply the result to reconstruct a function on (0, +∞) from a sequence of values of its Laplace transforms. Error estimates are given. (© 2006 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim)  相似文献   

2.
In this article, an iterative method for the approximate solution to one‐dimensional variable‐coefficient Burgers' equation is proposed in the reproducing kernel space W(3,2). It is proved that the approximation wn(x,t) converges to the exact solution u(x,t) for any initial function w0(x,t) ε W(3,2), and the approximate solution is the best approximation under a complete normal orthogonal system . Moreover the derivatives of wn(x,t) are also uniformly convergent to the derivatives of u(x,t).© 2009 Wiley Periodicals, Inc. Numer Methods Partial Differential Eq, 2009  相似文献   

3.
Let M be a complete K-metric space with n-dimensional metric ρ(x, y): M × M → R n , where K is the cone of nonnegative vectors in R n . A mapping F: MM is called a Q-contraction if ρ (Fx,Fy) ⩽ Qρ (x,y), where Q: KK is a semi-additive absolutely stable mapping. A Q-contraction always has a unique fixed point x* in M, and ρ(x*,a) ⩽ (I - Q)-1 ρ(Fa, a) for every point a in M. The point x* can be obtained by the successive approximation method x k = Fx k-1, k = 1, 2,..., starting from an arbitrary point x 0 in M, and the following error estimates hold: ρ (x*, x k ) ⩽ Q k (I - Q)-1ρ(x 1, x 0) ⩽ (I - Q)-1 Q k ρ(x 1, x 0), k = 1, 2,.... Generally the mappings (I - Q)-1 and Q k do not commute. For n = 1, the result is close to M. A. Krasnosel’skii’s generalized contraction principle.  相似文献   

4.
This article presents a semigroup approach for the mathematical analysis of the inverse coefficient problems of identifying the unknown coefficient k(u(x,t)) in the quasi‐linear parabolic equation ut(x,t)=(k(u(x,t))ux(x,t))x, with Dirichlet boundary conditions u(0,t)=ψ0, u(1,t)=ψ1. The main purpose of this paper is to investigate the distinguishability of the input–output mappings Φ[?]:?? →C1[0,T], Ψ[?]:??→C1[0,T] via semigroup theory. In this paper, it is shown that if the null space of the semigroup T(t) consists of only zero function, then the input–output mappings Φ[?] and Ψ[?] have the distinguishability property. It is also shown that the types of the boundary conditions and the region on which the problem is defined play an important role in the distinguishability property of these mappings. Moreover, under the light of measured output data (boundary observations) f(t):=k(u(0,t))ux(0,t) or/and h(t):=k(u(1,t))ux(1,t), the values k0) and k1) of the unknown diffusion coefficient k(u(x,t)) at (x,t)=(0,0) and (x,t)=(1,0), respectively, can be determined explicitly. In addition to these, the values ku0) and ku1) of the unknown coefficient k(u(x,t)) at (x,t)=(0,0) and (x,t)=(1,0), respectively, are also determined via the input data. Furthermore, it is shown that measured output data f(t) and h(t) can be determined analytically by an integral representation. Hence the input–output mappings Φ[?]:??→ C1[0,T], Ψ[?]:??→C1[0,T] are given explicitly in terms of the semigroup. Copyright © 2007 John Wiley & Sons, Ltd.  相似文献   

5.
Let t = (t1,…,tn) be a point of ?n. We shall write . We put, by the definition, Wα(u, m) = (m?2u)(α ? n)/4(n ? 2)/22(α + n ? 2)/2Г(α/2)]J(α ? n)/2(m2u)1/2; here α is a complex parameter, m a real nonnegative number, and n the dimension of the space. Wα(u, m), which is an ordinary function if Re α ≥ n, is an entire distributional function of α. First we evaluate {□ + m2}Wα + 2(u, m) = Wα(u, m), where {□ + m2} is the ultrahyperbolic operator. Then we express Wα(u, m) as a linear combination of Rα(u) of differntial orders; Rα(u) is Marcel Riesz's ultrahyperbolic kernel. We also obtain the following results: W?2k(u, m) = {□ + m2}kδ, k = 0, 1,…; W0(u, m) = δ; and {□ + m2}kW2k(u, m) = δ. Finally we prove that Wα(u, m = 0) = Rα(u). Several of these results, in the particular case µ = 1, were proved earlier by a completely different method.  相似文献   

6.
Let k(y) > 0, 𝓁(y) > 0 for y > 0, k(0) = 𝓁(0) = 0 and limy → 0k(y)/𝓁(y) exists; then the equation L(u) ≔ k(y)uxx – ∂y(𝓁(y)uy) + a(x, y)ux = f(x, y, u) is strictly hyperbolic for y > 0 and its order degenerates on the line y = 0. Consider the boundary value problem Lu = f(x, y, u) in G, u|AC = 0, where G is a simply connected domain in ℝ2 with piecewise smooth boundary ∂G = ABACBC; AB = {(x, 0) : 0 ≤ x ≤ 1}, AC : x = F(y) = ∫y0(k(t)/𝓁(t))1/2dt and BC : x = 1 – F(y) are characteristic curves. Existence of generalized solution is obtained by a finite element method, provided f(x, y, u) satisfies Carathéodory condition and |f(x, y, u)| ≤ Q(x, y) + b|u| with QL2(G), b = const > 0. It is shown also that each generalized solution is a strong solution, and that fact is used to prove uniqueness under the additional assumption |f(x, y, u1) – f(x, y, u2| ≤ C|u1u2|, where C = const > 0.  相似文献   

7.
In this paper, we investigate the existence of global weak solutions to the Cauchy problem of a modified two‐component Camassa‐Holm equation with the initial data satisfying limx → ±∞u0(x) = u±. By perturbing the Cauchy problem around a rarefaction wave, we obtain a global weak solution for the system under the assumption u?u+. The global weak solution is obtained as a limit of approximation solutions. The key elements in our analysis are the Helly theorem and the estimation of energy for approximation solutions in $H^1(\mathbb {R})\times H^1(\mathbb {R})In this paper, we investigate the existence of global weak solutions to the Cauchy problem of a modified two‐component Camassa‐Holm equation with the initial data satisfying limx → ±∞u0(x) = u±. By perturbing the Cauchy problem around a rarefaction wave, we obtain a global weak solution for the system under the assumption u?u+. The global weak solution is obtained as a limit of approximation solutions. The key elements in our analysis are the Helly theorem and the estimation of energy for approximation solutions in $H^1(\mathbb {R})\times H^1(\mathbb {R})$ and some a priori estimates on the first‐order derivatives of approximation solutions.  相似文献   

8.
A graph G is hamiltonian connected if there exists a hamiltonian path joining any two distinct nodes of G. Two hamiltonian paths and of G from u to v are independent if u = u 1 = v 1, v = u v(G) = v v(G) , and u i ≠ v i for every 1 < iv(G). A set of hamiltonian paths, {P 1, P 2, . . . , P k }, of G from u to v are mutually independent if any two different hamiltonian paths are independent from u to v. A graph is k mutually independent hamiltonian connected if for any two distinct nodes u and v, there are k mutually independent hamiltonian paths from u to v. The mutually independent hamiltonian connectivity of a graph G, IHP(G), is the maximum integer k such that G is k mutually independent hamiltonian connected. Let n and k be any two distinct positive integers with nk ≥ 2. We use S n,k to denote the (n, k)-star graph. In this paper, we prove that IHP(S n,k ) = n–2 except for S 4,2 such that IHP(S 4,2) = 1.   相似文献   

9.
A boundary value problem for a singularly perturbed elliptic reaction-diffusion equation in a vertical strip is considered. The derivatives are written in divergent form. The derivatives in the differential equation are multiplied by a perturbation parameter ɛ2, where ɛ takes arbitrary values in the interval (0, 1]. As ɛ → 0, a boundary layer appears in the solution of this problem. Using the integrointerpolational method and the condensing grid technique, conservative finite difference schemes on flux grids are constructed that converge ɛ-uniformly at a rate of O(N 1−2ln2 N 1 + N 2−2), where N 1 + 1 and N 2 + 1 are the number of mesh points on the x 1-axis and the minimal number of mesh points on a unit interval of the x 2-axis respectively. The normalized difference derivatives ɛ k (∂ k /∂x 1 k )u(x) (k = 1, 2), which are ɛ-uniformly bounded and approximate the normalized derivatives in the direction across the boundary layer, and the derivatives along the boundary layer ( k / x 2 k )u(x) (k = 1, 2) converge ɛ-uniformly at the same rate.  相似文献   

10.
An inverse polynomial method of determining the unknown leading coefficient k=k(x) of the linear Sturm–Liouville operator Au=−(k(x)u(x))+q(x)u(x), x(0,1), is presented. As an additional condition only two measured data at the boundary (x=0,x=1) are used. In absence of a singular point (u(x)≠0,u(x)≠0,x[0,1]) the inverse problem is classified as a well-conditioned . If there exists at least one singular point, then the inverse problem is classified as moderately ill-conditioned (u(x0)=0,x0(0,1);u(x)≠0,xx0;u(x)≠0,x[0,1]) and severely ill-conditioned (u(x0)=u(x0)=0,x0(0,1);u(x)≠0,u(x)≠0,xx0). For each of the cases direct problem solution is approximated by corresponding polynomials and the inverse problem is reformulated as a Cauchy problem for to the first order differential equation with respect the unknown function k=k(x). An approximate analytical solution of the each Cauchy problems are derived in explicit form. Numerical simulations all the above cases are given for noise free and noisy data. An accuracy of the presented approach is demonstrated on numerical test solutions.  相似文献   

11.
In this paper, we study the existence of infinitely many solutions to p‐Kirchhoff‐type equation (0.1) where f(x,u) = λh1(x)|u|m ? 2u + h2(x)|u|q ? 2u,a≥0,μ > 0,τ > 0,λ≥0 and . The potential function verifies , and h1(x),h2(x) satisfy suitable conditions. Using variational methods and some special techniques, we prove that there exists λ0>0 such that problem 0.1 admits infinitely many nonnegative high‐energy solutions provided that λ∈[0,λ0) and . Also, we prove that problem 0.1 has at least a nontrivial solution under the assumption f(x,u) = h2|u|q ? 2u,p < q< min{p*,p(τ + 1)} and has infinitely many nonnegative solutions for f(x,u) = h1|u|m ? 2u,1 < m < p. Copyright © 2015 John Wiley & Sons, Ltd.  相似文献   

12.
13.
We determine the least degree of identities in the subspace M 1 (m,k) (F) of the matrix superalgebra M (m,k)(F) over a field F for arbitrary m and k. For the subspace M 1 (m,k) (F) (k > 1) we obtain concrete minimal identities and generalize some results by Chang and Domokos.  相似文献   

14.
Let K be a p-adic field, R the valuation ring of K, P the maximal ideal of R and q the cardinality of the residue field R/P. Let f be a polynomial over R in n >1 variables and let χ be a character of . Let M i (u) be the number of solutions of f = u in (R/P i ) n for and. These numbers are related with Igusa’s p-adic zeta function Z f(s) of f. We explain the connection between the M i (u) and the smallest real part of a pole of Z f(s). We also prove that M i (u) is divisible by , where the corners indicate that we have to round up. This will imply our main result: Z f(s) has no poles with real part less than − n/2. We will also consider arbitrary K-analytic functions f.  相似文献   

15.
A numerical method is presented for the variable coefficient, nonlinear hyperbolic equation u t + i=1 d V i(x, t)f i(u) x i = 0 in arbitrary space dimension for bounded velocities that are Lipschitz continuous in the x variable. The method is based on dimensional splitting and uses a recent front tracking method to solve the resulting one-dimensional non-conservative equations. The method is unconditionally stable, and it produces a subsequence that converges to the entropy solution as the discretization of time and space tends to zero. Four numerical examples are presented; numerical error mechanisms are illustrated for two linear equations, the efficiency of the method compared with a high-resolution TVD method is discussed for a nonlinear problem, and finally, applications to reservoir simulation are presented.  相似文献   

16.
Let t = (t1, …, tn) be a point of ?n. We shall write . We put by definition Rα(u) = u(α?n)/2/Kn(α); here α is a complex parameter, n the dimension of the space, and Kn(α) is a constant. First we evaluate □Rα(u) = Rα(u), where □ the ultrahyperbolic operator. Then we obtain the following results: R?2k(u) = □kδ; R0(u) = δ; and □kR2k(u) = δ, k = 0, 1, …. The first result is the n-dimensional ultrahyperbolic correlative of the well-known one-dimensional formula . Equivalent formulas have been proved by Nozaki by a completely different method. The particular case µ = 1 was solved previously.  相似文献   

17.
For an integer k 1 and a geometric mesh (qi)−∞ with q ε (0, ∞), let Mi,k(x): = k[qi + k](· − x)+k − 1, Ni,k(x): = (qi + kqiMi,k(x)/k, and let Ak(q) be the Gram matrix (∝Mi,kNj,k)i,jεz. It is known that Ak(q)−1 is bounded independently of q. In this paper it is shown that Ak(q)−1 is strictly decreasing for q in [1, ∞). In particular, the sharp upper bound and lower bound for Ak (q)−1 are obtained: for all q ε (0, ∞).  相似文献   

18.
First we derive conditions that a parametric rational cubic curve segment, with a parameter, interpolating to plane Hermite data {(x i (k) ,y i (k) ),i = 0, 1;k = 0, 1} contains neither inflection points nor singularities on its segment. Next we numerically determine the distribution of inflection points and singularities on a segment which gives conditions that aC 2 parametric rational cubic curve interpolating to dataS = {(x i (k) ,y i (k) ), 0 i n} is free of inflection points and singularities. When the parametric rational cubic curve reduces to the well-known parametric cubic one, we obtain a theorem on the distribution of the inflection points and singularities on the cubic curve segment which has been widely used for finding aC 1 fair parametric cubic curve interpolating toS.  相似文献   

19.

We suppose that M is a closed subspace of l (J, X), the space of all bounded sequences {x(n)} n?J ? X, where J ? {Z+,Z} and X is a complex Banach space. We define the M-spectrum σM (u) of a sequence u ? l (J,X). Certain conditions will be supposed on both M and σM (u) to insure the existence of u ? M. We prove that if u is ergodic, such that σM (u,) is at most countable and, for every λ ? σM (u), the sequence e?iλnu(n) is ergodic, then u ? M. We apply this result to the operator difference equationu(n + 1) = Au(n) + ψ(n), n ? J,and to the infinite order difference equation Σ r k=1 ak (u(n + k) ? u(n)) + Σ s ? Z?(n ? s)u(s) = h(n), n?J, where ψ?l (Z,X) such that ψ| J ? M, A is the generator of a C 0-semigroup of linear bounded operators {T(t)} t>0 on X, h ? M, ? ? l 1(Z) and ak ?C. Certain conditions will be imposed to guarantee the existence of solutions in the class M.  相似文献   

20.
We present a novel method of parallelization of the multiplication operation in GF(2k) for an arbitrary value of k and arbitrary irreducible polynomial n(x) generating the field. The parallel algorithm is based on polynomial residue arithmetic, and requires that we find L pairwise relatively prime modulim i(x) such that the degree of the product polynomialM(x)=m 1(x)m 2(x)··· mL(x) is at least 2k. The parallel algorithm receives the residue representations of the input operands (elements of the field) and produces the result in its residue form, however, it is guaranteed that the degree of this polynomial is less than k and it is properly reduced by the generating polynomial n(x), i.e., it is an element of the field. In order to perform the reductions, we also describe a new table lookup based polynomial reduction method.  相似文献   

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