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Neural Information Processing Systems 

We formalize and generalize the notation of Section 4.1 and prove the results. For the remainder of this section, we fix a dimension D (e.g. The D-dimensional SSM will be a map from a function u: D! to y: D!. Definition 2 (Indexing notation). Given a subset I [D], let I denote its complement [D]\I. Given a 2 N1 and b 2 N2, let a b 2 N1 N2 be defined as (a b)n1,n2 = an1bn2.

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