Abstract

A frame in an nn-dimensional Hilbert space HnH_n is a possibly redundant collection of vectors {fi}i∈I\{f_i\}_{i\in I} that span the space. A tight frame is a generalization of an orthonormal basis. A frame {fi}i∈I\{f_i\}_{i\in I} is said to be scalable if there exist nonnegative scalars {ci}i∈I\{c_i\}_{i\in I} such that {cifi}i∈I\{c_if_i\}_{i\in I} is a tight frame. In this paper we study the combinatorial structure of frames and their decomposition into tight or scalable subsets by using partially-ordered sets (posets). We define the factor poset of a frame {fi}i∈I\{f_i\}_{i\in I} to be a collection of subsets of II ordered by inclusion so that nonempty J⊆IJ\subseteq I is in the factor poset if and only if {fj}j∈J\{f_j\}_{j\in J} is a tight frame for HnH_n. A similar definition is given for the scalability poset of a frame. We prove conditions which factor posets satisfy and use these to study the inverse factor poset problem, which inquires when there exists a frame whose factor poset is some given poset PP. We determine a necessary condition for solving the inverse factor poset problem in HnH_n which is also sufficient for H2H_2. We describe how factor poset structure of frames is preserved under orthogonal projections. We also consider the enumeration of the number of possible factor posets and bounds on the size of factors posets. We then turn our attention to scalable frames and present partial results regarding when a frame can be scaled to have a given factor poset.

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