TL;DR: This work formulate a two-phase approach for the Vietoris-Rips complex that separates geometry from topology, and gives three algorithms for the second phase, and implements all algorithms.
TL;DR: The following extension of the Aharoni-Haxell matching Theorem is proved: Let be a family of hypergraphs such that for each either or , then there exists a matching such thatfor all .
Abstract: The width of a hypergraph is the minimal for which there exist such that for any , for some . The matching width of is the minimal such that for any matching there exist such that for any , for some . The following extension of the Aharoni-Haxell matching Theorem [3] is proved: Let be a family of hypergraphs such that for each either or , then there exists a matching such that for all . This is a consequence of a more general result on colored cliques in graphs. The proofs are topological and use the Nerve Theorem.
TL;DR: This work develops some matrix-theoretic tools and presents them in a self-contained section independent of the neuroscience context, finding a close connection between maximally flexible networks and rank 1 matrices.
TL;DR: In this paper, the shape of the underlying directed graph is encoded in a way that can be studied mathematically to obtain network invariants such as the Euler characteristic and the Betti numbers.
Abstract: We introduce new algebro-topological invariants of directed networks, based on the topological construction of the directed clique complex. The shape of the underlying directed graph is encoded in a way that can be studied mathematically to obtain network invariants such as the Euler characteristic and the Betti numbers. Two different cases illustrate the application of the Euler characteristic. We investigate how the evolution of a Boolean recurrent artificial neural network is influenced by its topology in a dynamics involving pruning and strengthening of the connections, and to show that the topological features of the directed clique complex influence the dynamical evolution of the network. The second application considers the directed clique complex in a broader framework, to define an invariant of directed networks, the network degree invariant, which is constructed by computing the topological invariant on a sequence of sub-networks filtered by the minimum in- or out-degree of the nodes. The application of the Euler characteristic presented here can be extended to any directed network and provides a new method for the assessment of specific functional features associated with the network topology.
TL;DR: In this article, it was shown that the finiteness properties of H(L) are intimately related to the topology of the clique complex of L. Bestvina and N. M. Brady have shown that finitness properties of L(H(L), which is the kernel of the homomorphism from L(G) to the integers that takes each vertex to 1.
Abstract: For a connected graph L, let G(L) be a group with generators the vertex set of L, subject only to the relations that the ends of each edge commute. Now let H(L) be the kernel of the homomorphism from G(L) to the integers that takes each vertex to 1. M. Bestvina and N. Brady have shown that finiteness properties of H(L) are intimately related to the topology of the clique complex of L.
We give a presentation for H(L), with generators the edges of L, and an infinite family of relators for each 1-cycle in L. In the case when the clique complex for L is simply-connected, we give a finite presentation for H(L), with generators the edges (or 2-cliques) of L, and two relators for each 3-clique in L.