Resistance distance

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Template:Short description

In graph theory, the resistance distance between two vertices of a simple, connected graph, Template:Mvar, is equal to the resistance between two equivalent points on an electrical network, constructed so as to correspond to Template:Mvar, with each edge being replaced by a resistance of one ohm. It is a metric on graphs.

Definition

On a graph Template:Mvar, the resistance distance Template:Math between two vertices Template:Mvar and Template:Mvar is[1]

Ωi,j:=Γi,i+Γj,j−Γi,j−Γj,i,
where Γ=(L+1|V|Φ)+,

with Template:Math denotes the Moore–Penrose inverse, Template:Mvar the Laplacian matrix of Template:Mvar, Template:Math is the number of vertices in Template:Mvar, and Template:Math is the Template:Math matrix containing all 1s.

Properties of resistance distance

If Template:Math then Template:Math. For an undirected graph

Ωi,j=Ωj,i=Γi,i+Γj,j−2Γi,j

General sum rule

For any Template:Mvar-vertex simple connected graph Template:Math and arbitrary Template:Math matrix Template:Mvar:

∑i,j∈V(LML)i,jΩi,j=−2tr⁡(ML)

From this generalized sum rule a number of relationships can be derived depending on the choice of Template:Mvar. Two of note are;

∑(i,j)∈EΩi,j=N−1∑i<j∈VΩi,j=N∑k=1N−1λk−1

where the Template:Mvar are the non-zero eigenvalues of the Laplacian matrix. This unordered sum

∑i<jΩi,j

is called the Kirchhoff index of the graph.

Relationship to the number of spanning trees of a graph

For a simple connected graph Template:Math, the resistance distance between two vertices may be expressed as a function of the set of spanning trees, Template:Mvar, of Template:Mvar as follows:

Ωi,j={|{t:t∈T,ei,j∈t}||T|,(i,j)∈E|T′−T||T|,(i,j)∉E

where Template:Mvar is the set of spanning trees for the graph Template:Math. In other words, for an edge (i,j)∈E, the resistance distance between a pair of nodes i and j is the probability that the edge (i,j) is in a random spanning tree of G.

Relationship to random walks

The resistance distance between vertices u and v is proportional to the commute time Cu,v of a random walk between u and v. The commute time is the expected number of steps in a random walk that starts at u, visits v, and returns to u. For a graph with m edges, the resistance distance and commute time are related as Cu,v=2mΩu,v.[2]


Resistance distance is also related to the escape probability between two vertices. The escape probability Pu,v between u and v is the probability that a random walk starting at u visits v before returning to u. The escape probability equals

Pu,v=1deg⁡(u)Ωu,v,

where deg⁡(u) is the degree of u.[3] Unlike the commute time, the escape probability is not symmetric in general, i.e., Pu,v≠Pv,u.

As a squared Euclidean distance

Since the Laplacian Template:Mvar is symmetric and positive semi-definite, so is

(L+1|V|Φ),

thus its pseudo-inverse Template:Math is also symmetric and positive semi-definite. Thus, there is a Template:Mvar such that Γ=KK𝖳 and we can write:

Ωi,j=Γi,i+Γj,j−Γi,j−Γj,i=KiKi𝖳+KjKj𝖳−KiKj𝖳−KjKi𝖳=(Ki−Kj)2

showing that the square root of the resistance distance corresponds to the Euclidean distance in the space spanned by Template:Mvar.

Connection with Fibonacci numbers

A fan graph is a graph on Template:Math vertices where there is an edge between vertex Template:Mvar and Template:Math for all Template:Math, and there is an edge between vertex Template:Mvar and Template:Mvar for all Template:Math.

The resistance distance between vertex Template:Math and vertex Template:Math is

F2(n−i)+1F2i−1F2n

where Template:Mvar is the Template:Mvar-th Fibonacci number, for Template:Math.[4]

See also

References

Template:Reflist