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Power identity: P=∑x∑av(x)⋅(W−WT) v(x+ea)P = \sum_x \sum_a v(x)\cdot(W - W^{\mathsf T})\, v(x+e_a)P=∑x​∑a​v(x)⋅(W−WT)v(x+ea​)

Proved
PassivityTorus.power_eq

by ShapeZero · Sep 24, 2026 · Mathlib 0df444a (Lean v4.33.1)

latticelinear-algebramatrices

For every qqq, every L≥1L \ge 1L≥1, every family of real d×dd\times dd×d link matrices W(x,a)W(x,a)W(x,a) and every velocity field vvv,

PW(v)=∑x∑a=0q−1v(x)⋅((W(x,a)−W(x,a)T) v(x+ea)).P_W(v) = \sum_{x} \sum_{a=0}^{q-1} v(x) \cdot \Bigl( \bigl(W(x,a) - W(x,a)^{\mathsf T}\bigr)\, v(x+e_a) \Bigr).PW​(v)=x∑​a=0∑q−1​v(x)⋅((W(x,a)−W(x,a)T)v(x+ea​)).

Each link contributes to the total power only through its antisymmetric part. The identity holds for every lattice size, with no condition on the link matrices.

Preamble
import Mathlib
import Definitions.Def_PassivityTorus_power

open Matrix BigOperators
Formal statement
namespace PassivityTorus
theorem power_eq (q L d : ℕ) [NeZero L]
    (W : Site q L → Fin q → Matrix (Fin d) (Fin d) ℝ)
    (v : Site q L → (Fin d → ℝ)) :
    power q L d W v =
      ∑ x : Site q L, ∑ a : Fin q, v x ⬝ᵥ ((W x a - (W x a)ᵀ) *ᵥ v (shift x a 1)) := by sorry
end PassivityTorus
Source
Shape Zero LLC, "Formal Proofs of the C1 Verification Package" (August 2026), §6, Theorem 6.1 (extended to a q-dimensional periodic lattice): https://github.com/ShapeZeroSZ/shape-zero/blob/main/01_source/proofs/ShapeZero_C1_Formal_Proofs.pdf ; corrected in "Errata — C1 Formal Proofs (Sections 3 and 6)", Corrected Theorem 6.1(a) (power identity): https://github.com/ShapeZeroSZ/shape-zero/blob/main/01_source/proofs/ERRATUM_Theorem_6.1.md
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What the Lean code literally says, in plain math · claude-opus-5-5

Setting. The statement takes natural numbers q,L,dq, L, dq,L,d and assumes L≠0L \neq 0L=0. There are no other hypotheses on qqq or ddd. A site is any function x:{0,…,q−1}→Z/LZx : \{0,\dots,q-1\} \to \mathbb{Z}/L\mathbb{Z}x:{0,…,q−1}→Z/LZ, meaning a point of the discrete torus (Z/LZ)q(\mathbb{Z}/L\mathbb{Z})^q(Z/LZ)q. There are LqL^qLq sites. The coordinates xax_axa​ are elements of {0,…,L−1}\{0,\dots,L-1\}{0,…,L−1}, and addition on them is taken modulo LLL.

For a site xxx, a direction a∈{0,…,q−1}a \in \{0,\dots,q-1\}a∈{0,…,q−1} and a step s∈Z/LZs \in \mathbb{Z}/L\mathbb{Z}s∈Z/LZ, the shift σas(x)\sigma_a^s(x)σas​(x) is the site that agrees with xxx in every coordinate except aaa. Its aaa-th coordinate is replaced by xa+s mod Lx_a + s \bmod Lxa​+smodL:

σas(x)b={xa+s mod L,b=a,xb,b≠a.\sigma_a^s(x)_b = \begin{cases} x_a + s \bmod L, & b = a,\\ x_b, & b \neq a.\end{cases}σas​(x)b​={xa​+smodL,xb​,​b=a,b=a.​

The two shifts that appear are s=1s = 1s=1 and s=−1s = -1s=−1:

  • 111 means 1 mod L1 \bmod L1modL.
  • −1-1−1 means the additive inverse of 111 in Z/LZ\mathbb{Z}/L\mathbb{Z}Z/LZ, which is L−1L-1L−1 when L≥2L \ge 2L≥2.

So σa1(x)\sigma_a^{1}(x)σa1​(x) is the neighbour one step forward in direction aaa, with wrap-around. σa−1(x)\sigma_a^{-1}(x)σa−1​(x) is the neighbour one step backward, also with wrap-around. There are two degenerate cases:

  • L=1L = 1L=1: 1=−1=01 = -1 = 01=−1=0, so both shifts are the identity: σa±1(x)=x\sigma_a^{\pm1}(x) = xσa±1​(x)=x.
  • L=2L = 2L=2: the forward and backward neighbours coincide.

Data. Both of the following are completely arbitrary. No symmetry, sign, boundedness or other condition is imposed on them.

  • WWW assigns a real d×dd \times dd×d matrix Wx,aW_{x,a}Wx,a​ to each site xxx and each direction aaa.
  • vvv assigns a vector vx∈Rdv_x \in \mathbb{R}^dvx​∈Rd to each site xxx.

The dot product is u⋅w=∑i=0d−1uiwiu \cdot w = \sum_{i=0}^{d-1} u_i w_iu⋅w=∑i=0d−1​ui​wi​. The product MwM wMw is the ordinary matrix–vector product.

The defined quantity ("power"). The quantity is

P(W,v)  =  ∑x∈(Z/L)q  ∑a=0q−1  vx⋅(Wx,a vσa1(x)  −  Wσa−1(x), a vσa−1(x)).P(W,v) \;=\; \sum_{x \in (\mathbb{Z}/L)^q} \; \sum_{a=0}^{q-1} \; v_x \cdot \Big( W_{x,a}\, v_{\sigma_a^{1}(x)} \;-\; W_{\sigma_a^{-1}(x),\,a}\, v_{\sigma_a^{-1}(x)} \Big).P(W,v)=x∈(Z/L)q∑​a=0∑q−1​vx​⋅(Wx,a​vσa1​(x)​−Wσa−1​(x),a​vσa−1​(x)​).

The second term uses the matrix attached to the backward neighbour σa−1(x)\sigma_a^{-1}(x)σa−1​(x) in direction aaa (not the matrix at xxx). That matrix acts on the vector at the backward neighbour.

Assertion. For every q,L,dq, L, dq,L,d with L≥1L \ge 1L≥1, and for every WWW and vvv as above:

P(W,v)  =  ∑x∈(Z/L)q  ∑a=0q−1  vx⋅((Wx,a−Wx,aT) vσa1(x)),P(W,v) \;=\; \sum_{x \in (\mathbb{Z}/L)^q} \; \sum_{a=0}^{q-1} \; v_x \cdot \Big( \big(W_{x,a} - W_{x,a}^{\mathsf T}\big)\, v_{\sigma_a^{1}(x)} \Big),P(W,v)=x∈(Z/L)q∑​a=0∑q−1​vx​⋅((Wx,a​−Wx,aT​)vσa1​(x)​),

where Wx,aTW_{x,a}^{\mathsf T}Wx,aT​ is the transpose of Wx,aW_{x,a}Wx,a​.

Degenerate cases included by the quantifiers:

  • q=0q = 0q=0: there is exactly one site (the empty tuple) and no directions. The inner sum over directions is empty, so both sides equal 000.
  • d=0d = 0d=0: all vectors are empty and every dot product is 000, so both sides are 000.
  • L=1L = 1L=1: there is a single site xxx and every shift is the identity. The left side becomes ∑avx⋅(Wx,avx−Wx,avx)=0\sum_a v_x \cdot (W_{x,a} v_x - W_{x,a} v_x) = 0∑a​vx​⋅(Wx,a​vx​−Wx,a​vx​)=0. The right side becomes ∑avx⋅((Wx,a−Wx,aT)vx)\sum_a v_x \cdot ((W_{x,a} - W_{x,a}^{\mathsf T}) v_x)∑a​vx​⋅((Wx,a​−Wx,aT​)vx​).
  • L=0L = 0L=0: excluded by the assumption L≠0L \neq 0L=0.
Human review
  • Endorsed by Shuze Chen · Sep 24, 2026

    Confirmed by the moderator at approval.

  • Endorsed by ShapeZero · Sep 24, 2026

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

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