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Dive into the research topics where John B. Garnett is active.

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Featured researches published by John B. Garnett.


Proceedings of the American Mathematical Society | 1970

Positive length but zero analytic capacity

John B. Garnett

and A(aj, 8j) is the disc {z -ajI 0 but y(E) = 0. However Vituskins proof is quite complicated and contains many typographical errors. We give a simpler counterexample, and compare ours to Vituskins.


Journal of Functional Analysis | 1971

Pointwise bounded approximation and Dirichlet algebras

T. W. Gamelin; John B. Garnett

Abstract Those open sets U of S2 for which A(U) is pointwise boundedly dense in H∞(U) are characterized in terms of analytic capacity. It is also shown that the real parts of the functions in A(U) are uniformly dense in CR(∂U) if and only if each component of U is simply connected and A(U) is pointwise boundedly dense in H∞(U).


Transactions of the American Mathematical Society | 1969

Constructive techniques in rational approximation

T. W. Gamelin; John B. Garnett

This paper consists of several loosely organized remarks on the constructive methods for rational approximation developed by Vitushkin in [13]. These remarks are grouped under three headings. The first topic, taken up in ?1, illustrates the simplest case of the approximation scheme, and shows how it can be used to give simple proofs of rational approximation theorems on a class of infinitely connected compact sets. Special cases of these theorems have been proved by other methods by Fisher [8] and Zalcman [16]. This section also serves as an introduction to the integral operator TO, which is used in ??2 and 3. The second topic, involving pointwise bounded approximation, occupies ??2 through 5. In ?2, necessary and sufficient conditions are given on an open plane set U in order that every bounded analytic function on U be a pointwise limit on U of a bounded sequence of uniformly continuous analytic functions on U. This result, together with Mergelyans theorem, yields the Farrell-Rubel-Shields theorem (cf. [12]) on pointwise bounded approximation by polynomials, and its extension to finitely connected sets (cf. Corollary 3.3) by Ahern and Sarason [1]. It will be noted, however, that the constructive techniques alone do not give the best possible bounds on the norms of the approximating functions. In ?3 we obtain partial results on pointwise bounded approximation by rational functions. ??4 and 5 are devoted to constructing an example of a set for which pointwise bounded approximation by uniformly continuous analytic functions obtains, whereas approximation by rational functions fails. The final topic, relegated to ?6, involves extending Vitushkins techniques to vector-valued functions, in order to obtain results on uniform approximation by analytic functions of several complex variables. A related result has been given by


Siam Journal on Mathematical Analysis | 2012

Characterization of radially symmetric finite time blowup in multidimensional aggregation equations

Andrea L. Bertozzi; John B. Garnett; Thomas Laurent

This paper studies the transport of a mass


Journal of Functional Analysis | 1977

Algebras generated by inner functions

Alain Bernard; John B. Garnett; Donald E. Marshall

\mu


arXiv: Metric Geometry | 2010

A doubling measure on ℝ^{} can charge a rectifiable curve

John B. Garnett; Rowan Killip; Raanan Schul

in


Siam Journal on Mathematical Analysis | 2016

The Regularity of the Boundary of a Multidimensional Aggregation Patch

Andrea L. Bertozzi; John B. Garnett; Thomas Laurent; Joan Verdera

\mathbb{R}^d, d \geq 2,


international conference on image processing | 2011

A convex minimization model in image restoration via one-dimensional Sobolev norm profiles

Yunho Kim; John B. Garnett; Luminita A. Vese

by a flow field


Proceedings of the American Mathematical Society | 2001

Large sets of zero analytic capacity

John B. Garnett; Stan T. Yoshinobu

v= -\nabla K*\mu


Siam Journal on Imaging Sciences | 2014

Image Restoration Using One-Dimensional Sobolev Norm Profiles of Noise and Texture

Yunho Kim; John B. Garnett; Luminita A. Vese

. We focus on kernels

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T. W. Gamelin

University of California

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Xavier Tolsa

Autonomous University of Barcelona

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Mihalis Mourgoglou

Autonomous University of Barcelona

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Gregory Eskin

University of California

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