Constructing Packings in Projective Spaces and Grassmannian Spaces via Alternating Projection

نویسنده

  • JOEL A. TROPP
چکیده

This report presents a numerical method for finding good packings on spheres, in projective spaces, and in Grassmannian manifolds equipped with various metrics. In each case, producing a good packing is equivalent to constructing a matrix that has certain structural and spectral properties. By alternately enforcing the structural condition and then the spectral condition, it is frequently possible to reach a matrix that satisfies both. One may then extract a packing from this matrix. This approach is both powerful and versatile. In cases where experiments have been performed, the alternating projection method yields packings that compete with the best packings recorded. It also extends to problems that have not been studied numerically. For example, it can be used to produce packings of subspaces in real and complex Grassmannian spaces equipped with the Fubini–Study distance. Some of these novel configurations are essentially optimal. ? ? ? Some of the work described in this report is joint with I. S. Dhillon, R. W. Heath Jr., and T. Strohmer. Citations to our other reports and publications have been provided. Date: 10 May 2004. 2000 Mathematics Subject Classification. Primary: 51N15, 52C17.

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تاریخ انتشار 2004