About: Linear span is a research topic. Over the lifetime, 632 publications have been published within this topic receiving 11691 citations. The topic is also known as: linear hull & span.
TL;DR: In this paper, a measure on the closed subspaces of a Hilbert space is defined, which assigns to every closed subspace a non-negative real number such that if the subspace is a countable collection of mutually orthogonal sub-spaces having closed linear span B, then
Abstract: In his investigations of the mathematical foundations of quantum mechanics, Mackey1 has proposed the following problem: Determine all measures on the closed subspaces of a Hilbert space. A measure on the closed subspaces means a function μ which assigns to every closed subspace a non-negative real number such that if {Ai} is a countable collection of mutually orthogonal subspaces having closed linear span B, then
$$ \mu (B) = \sum {\mu \left( {{A_i}} \right)} $$
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TL;DR: This note shows that the second objection can be amended by combining some ideas used before in [2], and the present and previous results are expressed by the following lemma’s and theorem.
TL;DR: In this paper, the concept of invariance of a subspace under a linear transformation is strongly connected with controllability and observability of linear dynamical systems, and the authors define controlled and conditioneded invariant subspaces as a generalization of the simple invariants, for the purpose of investigating some further structural properties of linear systems.
Abstract: The concept of invariance of a subspace under a linear transformation is strongly connected with controllability and observability of linear dynamical systems. In this paper, we definecontrolled andconditioned invariant subspaces as a generalization of the simple invariants, for the purpose of investigating some further structural properties of linear systems. Moreover, we prove some fundamental theorems on which the computation of the above-mentioned subspaces is based. Then, we give two examples of practical application of the previous concepts concerning the determination of the constant output and perfect output controllability subspaces.
TL;DR: In this paper, the authors studied the robustness of fusion frame systems and proposed a weighted and distributed processing technique for fusion frames, which is a natural fit to distributed processing systems such as sensor networks, but also an efficient scheme for parallel processing of very large frame systems.
TL;DR: In this paper, it was shown that unless @s is itself a polynomial, it is possible to uniformly approximate any continuous function on R^s arbitrarily well on every compact subset of R^ s by functions in this span.