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Dive into the research topics where David E. Grow is active.

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Featured researches published by David E. Grow.


Stochastic Analysis and Applications | 2011

Brownian Motion Indexed by a Time Scale

David E. Grow; Suman Sanyal

In this article, we generalize Wieners existence result for one-dimensional Brownian motion by constructing a suitable continuous stochastic process where the index set is a time scale. We construct a countable dense subset of a time scale and use it to prove a generalized version of the Kolmogorov–Čentsov theorem. As a corollary, we obtain a local Hölder-continuity result for the sample paths of generalized Brownian motion indexed by a time scale.


Proceedings of the American Mathematical Society | 2004

The independence of characters on non-abelian groups

David E. Grow; Kathryn E. Hare

We show that there are characters of compact, connected, non-abelian groups that approximate random choices of signs. The work was motivated by Kroneckers theorem on the independence of exponential functions and has applications to thin sets.


Glasgow Mathematical Journal | 2009

CENTRAL INTERPOLATION SETS FOR COMPACT GROUPS AND HYPERGROUPS

David E. Grow; Kathryn E. Hare

We prove that every infinite subset of the dual of a compact, connected group contains an infinite, central, weighted I0 set. This yields a new proof of the fact that the duals of such groups admit infinite central p-Sidon sets for each p > 1. We also establish the existence of infinite, weighted I0 sets in the duals of many compact, abelian hypergroups. 2000 Mathematics Subject Classification. Primary 43A46; secondary 43A62, 43A30.


Differential Equations and Dynamical Systems | 2009

Mathematical analysis of the complete iterative inversion method — I

David E. Grow; Matt Insall

A gas composed of identical isotropic molecules has a potential energy of interaction between pairs of particles that depends only on their separation distance. The pair potential is encoded in the virial coefficients of the virial equation of state for a gas.The complete iterative inversion method is a technique employed in an attempt to recover the pair potential from the second virial coefficient. Implicit in the complete iterative inversion method is the requirement that various mathematical expressions are meaningful: improper integrals converge, derivatives exist, etc.We provide a mathematical framework in which all these implicit assumptions are valid. We show that the complete iterative inversion method cannot recover the pair potential even if the target potential and the initial estimate are infinitely differentiable.


Journal of Mathematical Analysis and Applications | 1991

Representations of Fourier Coefficients in Tauberian L1-convergence Classes

David E. Grow; Vera B. Stanojević

Abstract It is shown that the Fourier coefficients satisfying Stanojevics Tauberian condition can be represented in terms of O-regularly varying sequences.


Colloquium Mathematicum | 1987

Sidon sets and

David E. Grow


Mathematische Annalen | 1995

I^0

David E. Grow; Caslav V. Stanojevic


Statistics & Probability Letters | 2012

-sets

David E. Grow; Suman Sanyal


Colloquium Mathematicum | 1993

Convergence and the Fourier character of trigonometric transforms with slowly varying convergence moduli

David E. Grow; Matt Insall


Colloquium Mathematicum | 1987

The Quadratic Variation of Brownian Motion on a Time Scale.

David E. Grow

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Matt Insall

Missouri University of Science and Technology

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Caslav V. Stanojevic

Missouri University of Science and Technology

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Donnie Myers

Missouri University of Science and Technology

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Katherine Adams

Missouri University of Science and Technology

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