We assume that the network is finite, that is and are finite sets. As usual We define the Hilbert space of real functions on with inner product:

We are interest in flows, so we extend the edge set to contain edges in both directrion, and , so that a flow is antisymmetric . Thus we define the hilbert space of antysimmetric functions on with inner product

Given a voltage function we can build currents, so we define the coboundary operator by

note that it’s linear.

Conversely, given an antisymetric function we can build an operator that computes the net our flow of a given vertex, the boundary operator defined by

which is also linear.

Oss The boundary and coboundary operator are adjoint of each other.

Proof We need to check that

from the definition of inner product

we can rearrange the first term by highlighting terms

and summing. Similarly for the second term

but if , then of , so that

With these definitions we can restate the laws: Let be a current, then

Ohm’s Law: , that is Kirchhoff’s node law: if .

We can think of a flow as a fuild flowing through a network of pipes. The scource are the vetices , the amount of fluid entering the network is just , which is the same amount exiting the network in the sink . We call the total amount of current entering the network Def The Strenght of the flow is defined as

Lemma (flow conservation) Let be a finite graph and and be disjoint subsets of its vertices. If is a flow between and , then

Proof Since is a flow

so that

but this can be written as the inner product

Lemma Let be a finite graph and and two disjoint subsets of its vertices, and a flow from to and is constant on and with values and , respectively, then

Proof

Def (Energy) For an antisymmetric function , we define its energy to be

where we have introduced the norm induced by the inner product which scales each component by the resistence:

Now we are interested in the energy (dissipated) by a current, so that Kirchhoff’s and Ohm’s law hold:

now suppose that we are in the case of the previous lemma, with beeing a voltage function such taht and , then

using the relation

we can conclude that

Star and loop decomposition of

Let’s introduce the signed characteristic function of an edge:

clearly .

With this we can rewrite Kirchhoff’s laws using the scalar procuct

Consider the subspaces and , spanned by the functions in the left side of the inner products above:

Claim 1 Proof Easy for the base elements, make a drawing.

Claim 2 We can decompose Proof We show that if and then . Then satisfies Kirchhoff’s two law, so that there exists a potential so that . Since , is harmonic everywhere, this implies so that .

Now, since any current satisfies Kirchhoff’s second law, so that . Now take any flow with the same source and sink of a current . Then is a souce-less flow, and . We have just found our decomposition:

This implies that given the resistences, a current has the smallest norm (induced by the resistences) among any flow which shares the same soucres and sinks :

from this follows

Theorem (Thomson’s Principle) Let be a finite network, a flow from to and a current from to such thatr . Then unless . Proof Immediate consequence of the previous facts.

Theorem (The Nash-Williams inequality) If and are distinct vertices in a finite network that are separated by pairwise disjoint cutsets , then

Proof We use the equivalence of the energy of a unit current and effective resistence. Consider the unit flow from to , we can induce a new unit flow in a reduce network: call the set of vertices still reachable from , and call the boundary of , . It’s easy to see using flow conservation that

this is a unit flow from to . Then by the Cauchy-Schwarz inequality

so that

by summing over over we get our result.

Since enery is related to resistance, and resistance to infinity is realted to transience, we have the following usefull result.

Theorem (Rayleigh’s Monotonicity Principle) Let be a connected graph with two sets of non-negative weights and such that .

  1. If is finite and and two disjoint subsets, then
  1. If is infinite then

in particular if is transient, then so is .

Proof follows simply by and taking the limit for a sequnce that exaust . To prove consider a unit flow from to . We have proven that

now

the first inequality follows from the definition of energy (if , the second from Thomson’s principle.