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arXiv · 2003.02962

Simultaneous robust subspace recovery and semi-stability of quiver representations

Calin Chindris·Daniel Kline
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Abstract

We consider the problem of simultaneously finding lower-dimensional subspace structures in a given $m$-tuple of possibly corrupted, high-dimensional data sets all of the same size. We refer to this problem as simultaneous robust subspace recovery (SRSR) and provide a quiver invariant theoretic approach to it. We show that SRSR is a particular case of the more general problem of effectively deciding whether a quiver representation is semi-stable (in the sense of Geometric Invariant Theory) and, in case it is not, finding a subrepresentation certifying in an optimal way that the representation is not semi-stable. In this paper, we show that SRSR and the more general quiver semi-stability problem can be solved effectively.

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Calin Chindris, Daniel Kline. 2022-02-18. Simultaneous robust subspace recovery and semi-stability of quiver representations. https://arxiv.org/abs/2003.02962

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