Graph manifold

For a given graph $G(V,E)$ implemented using Graphs.jl, the GraphManifold models a PowerManifold either on the nodes or edges of the graph, depending on the GraphManifoldType. i.e., it's either a $\mathcal M^{\lvert V \rvert}$ for the case of a vertex manifold or a $\mathcal M^{\lvert E \rvert}$ for the case of a edge manifold.

Example

To make a graph manifold over $ℝ^2$ with three vertices and two edges, one can use

using Manifoldsusing GraphsM = Euclidean(2)p = [[1., 4.], [2., 5.], [3., 6.]]q = [[4., 5.], [6., 7.], [8., 9.]]x = [[6., 5.], [4., 3.], [2., 8.]]G = SimpleGraph(3)add_edge!(G, 1, 2)add_edge!(G, 2, 3)N = GraphManifold(G, M, VertexManifold())

GraphManifold
Graph:
 {3, 2} undirected simple Int64 graph
AbstractManifold on vertices:
 Euclidean(2; field=ℝ)

It supports all AbstractPowerManifold operations (it is based on NestedPowerRepresentation) and furthermore it is possible to compute a graph logarithm:

incident_log(N, p)

3-element Vector{Vector{Float64}}:
 [1.0, 1.0]
 [0.0, 0.0]
 [-1.0, -1.0]

Types and functions

Manifolds.EdgeManifold — Type

EdgeManifoldManifold <: GraphManifoldType

A type for a GraphManifold where the data is given on the edges.

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Manifolds.GraphManifold — Type

GraphManifold{𝔽, G, M, T} <: AbstractPowerManifold{𝔽,M,NestedPowerRepresentation}

Build a manifold, that is a PowerManifold of the AbstractManifold M either on the edges or vertices of a graph G depending on the GraphManifoldType T.

Fields

G is an AbstractSimpleGraph
M is a AbstractManifold

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Manifolds.GraphManifoldType — Type

GraphManifoldType

This type represents the type of data on the graph that the GraphManifold represents.

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Manifolds.VertexManifold — Type

VectexGraphManifold <: GraphManifoldType

A type for a GraphManifold where the data is given on the vertices.

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Manifolds.incident_log — Method

incident_log(M::GraphManifold, x)

Return the tangent vector on the (vertex) GraphManifold, where at each node the sum of the logs to incident nodes is computed. For a SimpleGraph, an edge is interpreted as double edge in the corresponding SimpleDiGraph

If the internal graph is a SimpleWeightedGraph the weighted sum of the tangent vectors is computed.

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ManifoldsBase.check_point — Method

check_point(M::GraphManifold, p)

Check whether p is a valid point on the GraphManifold M. This requires that its length equals the number of vertices (for VertexManifolds) or the number of edges (for EdgeManifolds) and that each element of p passes the check_point test for the base manifold M.manifold.

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ManifoldsBase.check_vector — Method

check_vector(M::GraphManifold, p, X; kwargs...)

Check whether X is a valid tangent vector at p on the GraphManifold M. This requires that p is a valid point, that the length of X equals the number of vertices (for VertexManifolds) or the number of edges (for EdgeManifolds), and that each element of X together with its corresponding entry of p passes the check_vector test for the base manifold M.manifold.

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ManifoldsBase.manifold_dimension — Method

manifold_dimension(N::GraphManifold{G,𝔽,M,EdgeManifold})

returns the manifold dimension of the GraphManifold N on the edges of a graph $G=(V,E)$, i.e.

\[\dim(\mathcal N) = \lvert E \rvert \dim(\mathcal M),\]

where $\mathcal M$ is the manifold of the data on the edges.

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ManifoldsBase.manifold_dimension — Method

manifold_dimension(N::GraphManifold{G,𝔽,M,VertexManifold})

returns the manifold dimension of the GraphManifold N on the vertices of a graph $G=(V,E)$, i.e.

\[\dim(\mathcal N) = \lvert V \rvert \dim(\mathcal M),\]

where $\mathcal M$ is the manifold of the data on the nodes.

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