A Notion of Optimal Packings of Subspaces with Mixed-Rank and Solutions
Book Chapter
Casazza, PG, Stueck, J, Tran, TT. (2021). A Notion of Optimal Packings of Subspaces with Mixed-Rank and Solutions
. 119-144. 10.1007/978-3-030-69637-5_7
Casazza, PG, Stueck, J, Tran, TT. (2021). A Notion of Optimal Packings of Subspaces with Mixed-Rank and Solutions
. 119-144. 10.1007/978-3-030-69637-5_7
We resolve a longstanding open problem by reformulating the Grassmannian fusion frames to the case of mixed dimensions and show that this satisfies the proper properties for the problem. In order to compare elements of mixed dimension, we use a classical embedding to send all fusion frame elements to points on a higher dimensional Euclidean sphere, where they are given “equal footing.” Over the embedded images—a compact subset in the higher dimensional embedded sphere—we define optimality in terms of the corresponding restricted coding problem. We then construct infinite families of solutions to the problem by using maximal sets of mutually unbiased bases and block designs. Finally, we show that using Hadamard 3-designs in this construction leads to infinitely many examples of maximal orthoplectic fusion frames of constant-rank. Moreover, any such fusion frames constructed by this method must come from Hadamard 3-designs.
