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368
Classical Solutions of Multi-Dimensional Hele-Shaw Models
, 1997
"... . Existence and uniqueness of classical solutions for the multi-dimensional expanding Hele-Shaw problem is proved. Key words. Classical solutions, Hele-Shaw model, moving boundary problem, maximal regularity. AMS subject classifications. 35R35, 35K55, 35S30, 76D99. 1. The problem. We are concern ..."
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Cited by 33 (7 self)
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. Existence and uniqueness of classical solutions for the multi-dimensional expanding Hele-Shaw problem is proved. Key words. Classical solutions, Hele-Shaw model, moving boundary problem, maximal regularity. AMS subject classifications. 35R35, 35K55, 35S30, 76D99. 1. The problem. We
ON A TAUBERIAN CONDITION FOR BOUNDED LINEAR OPERATORS
, 2004
"... ematics Research Reports A468 (2004). Abstract: We study the relation between the growth of sequences kT nk and k(n + 1)(I ¡ T)T nk for operators T 2 L(X) satisfying weak variants of the Ritt resolvent condition k(¸ ¡ T)¡1k · C j¸¡1j for various sets of j¸j> 1. AMS subject classi¯cations: 47A10, ..."
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ematics Research Reports A468 (2004). Abstract: We study the relation between the growth of sequences kT nk and k(n + 1)(I ¡ T)T nk for operators T 2 L(X) satisfying weak variants of the Ritt resolvent condition k(¸ ¡ T)¡1k · C j¸¡1j for various sets of j¸j> 1. AMS subject classi¯cations: 47A10
A linear bound on the diameter of the transportation polytope
"... We prove that the combinatorial diameter of the skeleton of the polytope of feasible solutions of any m × n transportation problem is at most 8(m + n − 2). The transportation problem ( TP) is a classic problem in operations research. The problem was posed for the first time by Hitchcock in 1941 [9] ..."
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Cited by 13 (1 self)
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famous conjecture (cf. [5]) saying that any d-dimensional polytope with n facets has diameter at most n − d. So far the best known bound for arbitrary polytopes is O(n log d+1) [10]. Any polynomial bound is still lacking. Such bounds have been proved for some special classes of polytopes ( for examples
Classical and Quantum Scattering for a Class of Long Range Random Potentials
, 2001
"... this paper we prove existence of modi ed wave operators, with probability one, for the family of random operators on L ), d 2, H = 1 4 V (1.1) where x n jnj (1.2) with uniformly bounded independent ! n with mean 0, and > 2 . The most important example are Bernoulli variables ..."
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Cited by 21 (1 self)
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this paper we prove existence of modi ed wave operators, with probability one, for the family of random operators on L ), d 2, H = 1 4 V (1.1) where x n jnj (1.2) with uniformly bounded independent ! n with mean 0, and > 2 . The most important example are Bernoulli variables
Bounding Zeros of H² Functions via Concentrations
, 1994
"... . It is well-known that the zeros fz j g of a function in the classical Hardy space H 2 satisfy P 1 \Gamma jz j j ! 1 ; however, this sum can be arbitrarily large. We shall bound this sum by a constant that depends on the concentration of the function, a concept introduced by Beauzamy and Enflo. ..."
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. It is well-known that the zeros fz j g of a function in the classical Hardy space H 2 satisfy P 1 \Gamma jz j j ! 1 ; however, this sum can be arbitrarily large. We shall bound this sum by a constant that depends on the concentration of the function, a concept introduced by Beauzamy and Enflo
A spin-conformal lower bound of the first positive Dirac eigenvalue
, 2000
"... Let D be the Dirac operator on a compact spin manifold M . Assume that 0 is in the spectrum of D. We prove the existence of a lower bound on the rst positive eigenvalue of D depending only on the spin structure and the conformal type. Keywords: Dirac operator, rst positive eigenvalue, conformal met ..."
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Cited by 15 (9 self)
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Let D be the Dirac operator on a compact spin manifold M . Assume that 0 is in the spectrum of D. We prove the existence of a lower bound on the rst positive eigenvalue of D depending only on the spin structure and the conformal type. Keywords: Dirac operator, rst positive eigenvalue, conformal
Lower Bounds for Norms of Inverses of Interpolation Matrices for Radial Basis Functions
, 1994
"... : Interpolation of scattered data at distinct points x 1 ; . . . ; x n 2 IR d by linear combinations of translates \Phi(kx \Gamma x j k 2 ) of a radial basis function \Phi : IR 0 ! IR requires the solution of a linear system with the n by n distance matrix A := (\Phi(kx i \Gamma x j k 2 ). Recent ..."
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Cited by 13 (5 self)
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: Interpolation of scattered data at distinct points x 1 ; . . . ; x n 2 IR d by linear combinations of translates \Phi(kx \Gamma x j k 2 ) of a radial basis function \Phi : IR 0 ! IR requires the solution of a linear system with the n by n distance matrix A := (\Phi(kx i \Gamma x j k 2 ). Recent
An abstract domain extending Difference-Bound Matrices with disequality constraints
- 8th International Conference on Verification, Model-checking, and Abstract Intepretation, VMCAI’07
, 2007
"... Abstract. Knowing that two numerical variables always hold different values, at some point of a program, can be very useful, especially for analyzing aliases: if i 6 = j, then A[i] and A[j] are not aliased, and this knowledge is of great help for many other program analyses. Surprisingly, disequalit ..."
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Cited by 9 (2 self)
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Abstract. Knowing that two numerical variables always hold different values, at some point of a program, can be very useful, especially for analyzing aliases: if i 6 = j, then A[i] and A[j] are not aliased, and this knowledge is of great help for many other program analyses. Surprisingly
ON CLASSICAL SOLVABILITY OF THE FIRST INITIAL-BOUNDARY VALUE PROBLEM FOR EQUATIONS GENERATED BY CURVATURES
"... The aim of this paper is to prove the existence theorem announced in [5]. The proof is based on á priori estimates which were done in [6]–[8] for solutions to equations including the equations from [5]. We have to add to these estimates the estimates of Hölder constants for ut and uxixj. Section 2 i ..."
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is devoted to this purpose. We study the problems (1.1) Mm[u] = 3D − ut √ + fm(k[u]) = 3Dg in QT = 3DΩ × (0, T), 1 + u2 x (1.2) u = 3Dϕ on ∂ ′ QT, m ∈ [2, n], where Ω is a bounded domain in R n with a smooth boundary ∂Ω, ∂ ′ QT = 3D ∂ ′ ′ QT ∪ Ω(0), ∂ ′ ′ QT = 3D∂Ω × [0, T], Ω(0) = 3D{z = 3D(x, t
Bounds on Conditional Probabilities with Applications in Multi-User Communication
, 1976
"... We consider a sequence {Zg}i ~ 1 of independent, identically distributed random variables where each Z i is a pair (Xi, Y/). For any pair of events {X" ~ ~r { Y" ~ N} satisfying Pr(Y " e NIX " s d)> 1- ~ and for any non-negative real c we investigate how small Pr(Y"~) can ..."
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We consider a sequence {Zg}i ~ 1 of independent, identically distributed random variables where each Z i is a pair (Xi, Y/). For any pair of events {X" ~ ~r { Y" ~ N} satisfying Pr(Y " e NIX " s d)> 1- ~ and for any non-negative real c we investigate how small Pr
Results 1 - 10
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368