Abstract
This chapter investigates optimal discrete measures from the perspective of a max-min problem for potentials on a given compact set A. More precisely, for a kernel \(K:A\times A \rightarrow \mathbb {R}\cup \{+\infty \}\), the so-called polarization (or Chebyshev) problem is the following: determine N-point configurations \(\{x_j\}_{j=1}^N\) on A so that the minimum of \(\sum _{j=1}^NK(x, x_j)\) for \(x\in A\) is as large as possible. Such optimization problems relate to the following practical question: if \(K(x, x_j)\) denotes the amount of a substance received at x due to an injector of the substance located at \(x_j\), what is the smallest number of like injectors and their optimal locations on A so that a prescribed minimal amount of the substance reaches every point of A?
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For points on a sphere, we use variables in boldface font.
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Borodachov, S.V., Hardin, D.P., Saff, E.B. (2019). Optimal Discrete Measures for Potentials: Polarization (Chebyshev) Constants. In: Discrete Energy on Rectifiable Sets. Springer Monographs in Mathematics. Springer, New York, NY. https://doi.org/10.1007/978-0-387-84808-2_14
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DOI: https://doi.org/10.1007/978-0-387-84808-2_14
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