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Corollary 10.8 -- the resistance triangle inequality

Proved
MarkovMixing.resistance_triangle

by Shuze Chen · Aug 21, 2026 · Mathlib c5ea003 (Lean v4.30.0)

markov-chainsmixing-timesprobability

Let ccc be a network on a finite vertex set: a symmetric nonnegative conductance function with total conductance c(x)=∑yc(x,y)>0c(x)=\sum_yc(x,y)>0c(x)=∑y​c(x,y)>0 at every vertex, whose associated walk P(x,y)=c(x,y)/c(x)P(x,y)=c(x,y)/c(x)P(x,y)=c(x,y)/c(x) is irreducible. For distinct vertices, the effective resistance R(a↔z)R(a\leftrightarrow z)R(a↔z) is defined through the voltage W(x)=Px{τa<τz}W(x)=\mathbb P_x\{\tau_a<\tau_z\}W(x)=Px​{τa​<τz​} and the current ∥I∥=∑yc(a,y)[W(a)−W(y)]\|I\|=\sum_yc(a,y)[W(a)-W(y)]∥I∥=∑y​c(a,y)[W(a)−W(y)] as R(a↔z)=∥I∥−1R(a\leftrightarrow z)=\|I\|^{-1}R(a↔z)=∥I∥−1.

The theorem (Corollary 10.8 of Levin–Peres–Wilmer) asserts that effective resistance satisfies the triangle inequality: for pairwise distinct vertices a,b,za,b,za,b,z,

R(a↔z)  ≤  R(a↔b)+R(b↔z).R(a\leftrightarrow z)\;\le\;R(a\leftrightarrow b)+R(b\leftrightarrow z).R(a↔z)≤R(a↔b)+R(b↔z).

Together with symmetry and positivity this makes RRR a genuine metric on the vertices of a connected network — the resistance metric. In the book it is a direct consequence of the commute time identity, which converts the claim into the sub-additivity of round-trip times through the intermediate vertex bbb.

Preamble
import Definitions.Def_mm_network
Formal statement
namespace MarkovMixing

/-- **Corollary 10.8** (LPW): effective resistance satisfies the triangle
inequality `R(a↔c) ≤ R(a↔b) + R(b↔c)`. -/
theorem resistance_triangle {V : Type*} [Fintype V] [DecidableEq V]
    (c : V → V → ℝ) (hc : IsConductance c)
    (hpos : ∀ x : V, 0 < vertexConductance c x)
    (hirr : Irreducible (networkWalk c)) (a b z : V)
    (hab : a ≠ b) (hbz : b ≠ z) (haz : a ≠ z) :
    effectiveResistance c a z ≤
      effectiveResistance c a b + effectiveResistance c b z := by
  sorry

end MarkovMixing
Source
D. A. Levin, Y. Peres, E. L. Wilmer, Markov Chains and Mixing Times, AMS 2009, https://documents.epfl.ch/groups/i/ip/ipg/www/2013-2014/Random_Walks/markovmixing.pdf, Section 10.3, Corollary 10.8, Eq. (10.10), p. 131
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What the Lean code literally says, in plain math · claude-fable-5

Read-back: resistance_triangle

Let VVV be a finite type (with decidable equality), and let c:V×V→Rc : V \times V \to \mathbb{R}c:V×V→R be a function satisfying the bundled hypothesis "is a conductance": c(x,y)≥0c(x,y) \ge 0c(x,y)≥0 for all x,yx, yx,y and c(x,y)=c(y,x)c(x,y) = c(y,x)c(x,y)=c(y,x) for all x,yx, yx,y. (Nothing forbids nonzero self-conductances c(x,x)c(x,x)c(x,x), and ccc need not be nonzero anywhere beyond what the other hypotheses force.) Write c(x)=∑y∈Vc(x,y)c(x) = \sum_{y \in V} c(x,y)c(x)=∑y∈V​c(x,y) for the total conductance at a vertex xxx; the theorem assumes c(x)>0c(x) > 0c(x)>0 for every x∈Vx \in Vx∈V. Define the transition matrix PPP of the "network walk" by P(x,y)=c(x,y)/c(x)P(x,y) = c(x,y)/c(x)P(x,y)=c(x,y)/c(x) (real division, so this is the usual random-walk matrix under the positivity assumption). The theorem further assumes PPP is "irreducible" in the following sense: for every pair x,y∈Vx, y \in Vx,y∈V there exists a natural number t≥0t \ge 0t≥0 with (Pt)(x,y)>0(P^t)(x,y) > 0(Pt)(x,y)>0 — note t=0t = 0t=0 is allowed, and P0P^0P0 is the identity matrix, so the diagonal case x=yx = yx=y is automatically satisfied by t=0t = 0t=0. Given two designated vertices a,za, za,z, the "voltage" at xxx is defined as va,z(x)=∑t=0∞qt(x)v_{a,z}(x) = \sum_{t=0}^{\infty} q_t(x)va,z​(x)=∑t=0∞​qt​(x), where qt(x)q_t(x)qt​(x) is the sum, over all length-ttt vertex sequences ω=(ω0,…,ωt)\omega = (\omega_0, \dots, \omega_t)ω=(ω0​,…,ωt​) with ω0=x\omega_0 = xω0​=x, of the path weight ∏i=0t−1P(ωi,ωi+1)\prod_{i=0}^{t-1} P(\omega_i, \omega_{i+1})∏i=0t−1​P(ωi​,ωi+1​), restricted to sequences that end at ωt=a\omega_t = aωt​=a, avoid aaa at every index before the last one, and avoid zzz at every index including index 000 (so this is a probability that the walk started at xxx hits aaa strictly before zzz; in particular va,z(z)=0v_{a,z}(z) = 0va,z​(z)=0, and the infinite series is Lean's tsum, which takes the value 000 if the series fails to be summable). The "current strength" from aaa to zzz is I(a,z)=∑y∈Vc(a,y) (va,z(a)−va,z(y))I(a,z) = \sum_{y \in V} c(a,y)\,\bigl(v_{a,z}(a) - v_{a,z}(y)\bigr)I(a,z)=∑y∈V​c(a,y)(va,z​(a)−va,z​(y)), and the "effective resistance" is defined as the multiplicative inverse R(a,z)=I(a,z)−1R(a,z) = I(a,z)^{-1}R(a,z)=I(a,z)−1 — with the Lean convention that 0−1=00^{-1} = 00−1=0, so if the current strength vanishes the effective resistance is 000 by fiat rather than infinite. Under all of the above hypotheses, and for three vertices a,b,z∈Va, b, z \in Va,b,z∈V assumed pairwise distinct (a≠ba \ne ba=b, b≠zb \ne zb=z, a≠za \ne za=z), the theorem asserts the triangle inequality

R(a,z)  ≤  R(a,b)+R(b,z),R(a,z) \;\le\; R(a,b) + R(b,z),R(a,z)≤R(a,b)+R(b,z),

i.e. the effective resistance (as defined above, via the inverse of current strength) between aaa and zzz is at most the sum of the effective resistances between aaa and bbb and between bbb and zzz. The inequality is non-strict, and nothing beyond the stated hypotheses (symmetry and nonnegativity of ccc, strictly positive vertex conductances, irreducibility of the walk, pairwise distinctness of a,b,za, b, za,b,z) is assumed.

Human review
  • Endorsed by Community (Bot) · Aug 21, 2026

  • Endorsed by Shuze Chen · Aug 21, 2026

    Confirmed by the mission captain (proposal self-audit).

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