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Power identity: P=∑ivi⋅(Wi−WiT) vi+1P = \sum_i v_i \cdot (W_i - W_i^{\mathsf T})\, v_{i+1}P=∑i​vi​⋅(Wi​−WiT​)vi+1​

Proved
PassivityRing.power_eq

by ShapeZero · Sep 23, 2026 · Mathlib 0df444a (Lean v4.33.1)

linear-algebramatrices

Let N≥1N \ge 1N≥1 and ddd be natural numbers, let W0,…,WN−1W_0, \dots, W_{N-1}W0​,…,WN−1​ be real d×dd\times dd×d matrices and v0,…,vN−1∈Rdv_0, \dots, v_{N-1} \in \mathbb{R}^dv0​,…,vN−1​∈Rd, with indices modulo NNN. Then the total power satisfies

∑ivi⋅(Wi vi+1−Wi−1 vi−1)=∑ivi⋅((Wi−WiT) vi+1).\sum_{i} v_i \cdot \bigl( W_i\, v_{i+1} - W_{i-1}\, v_{i-1} \bigr) = \sum_{i} v_i \cdot \bigl( (W_i - W_i^{\mathsf T})\, v_{i+1} \bigr).i∑​vi​⋅(Wi​vi+1​−Wi−1​vi−1​)=i∑​vi​⋅((Wi​−WiT​)vi+1​).

The identity holds for every ring size, with no condition on the link matrices. It rewrites the power so that each link contributes only through its antisymmetric part.

Preamble
import Mathlib
import Definitions.Def_PassivityRing_power

open Matrix BigOperators
Formal statement
namespace PassivityRing
theorem power_eq (N d : ℕ) [NeZero N]
    (W : Fin N → Matrix (Fin d) (Fin d) ℝ) (v : Fin N → (Fin d → ℝ)) :
    power N d W v = ∑ i : Fin N, v i ⬝ᵥ ((W i - (W i)ᵀ) *ᵥ v (i + 1)) := by sorry
end PassivityRing
Source
Shape Zero LLC, "Formal Proofs of the C1 Verification Package" (August 2026), §6, Theorem 6.1: 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

Theorem PassivityRing.power_eq. Fix natural numbers NNN and ddd, with N≥1N \ge 1N≥1 (this is the only hypothesis). d=0d = 0d=0 is allowed. Let the indices iii range over Z/NZ={0,1,…,N−1}\mathbb{Z}/N\mathbb{Z} = \{0, 1, \dots, N-1\}Z/NZ={0,1,…,N−1}. On these indices, i+1i+1i+1 and i−1i-1i−1 are taken modulo NNN, so the indices wrap around a cycle:

(N−1)+1=0,0−1=N−1.(N-1) + 1 = 0, \qquad 0 - 1 = N-1 .(N−1)+1=0,0−1=N−1.

When N=1N = 1N=1 the only index is 000, and i+1=i−1=i=0i+1 = i-1 = i = 0i+1=i−1=i=0.

The theorem holds for every choice of the following data, with no further conditions such as symmetry, invertibility or positivity:

  • a family of real d×dd \times dd×d matrices W0,…,WN−1W_0, \dots, W_{N-1}W0​,…,WN−1​;
  • a family of real vectors v0,…,vN−1∈Rdv_0, \dots, v_{N-1} \in \mathbb{R}^dv0​,…,vN−1​∈Rd.

For a matrix AAA and a vector xxx, AxA xAx is the ordinary matrix–vector product (Ax)k=∑lAklxl(Ax)_k = \sum_{l} A_{kl} x_l(Ax)k​=∑l​Akl​xl​. For two vectors, x⋅y=∑k=1dxkykx \cdot y = \sum_{k=1}^{d} x_k y_kx⋅y=∑k=1d​xk​yk​ is the ordinary dot product. WiTW_i^{\mathsf T}WiT​ is the transpose of WiW_iWi​.

The quantity "power" P(W,v)P(W, v)P(W,v) is defined as a sum over all NNN cyclic indices:

P(W,v)  =  ∑i∈Z/NZvi⋅(Wi vi+1  −  Wi−1 vi−1).P(W, v) \;=\; \sum_{i \in \mathbb{Z}/N\mathbb{Z}} v_i \cdot \bigl( W_i\, v_{i+1} \;-\; W_{i-1}\, v_{i-1} \bigr).P(W,v)=i∈Z/NZ∑​vi​⋅(Wi​vi+1​−Wi−1​vi−1​).

Both the matrix and the vector in the second term use the cyclically previous index i−1i-1i−1. The first term uses the matrix at index iii and the vector at the cyclically next index i+1i+1i+1.

The theorem asserts the identity

∑i∈Z/NZvi⋅(Wi vi+1−Wi−1 vi−1)  =  ∑i∈Z/NZvi⋅((Wi−WiT) vi+1),\sum_{i \in \mathbb{Z}/N\mathbb{Z}} v_i \cdot \bigl( W_i\, v_{i+1} - W_{i-1}\, v_{i-1} \bigr) \;=\; \sum_{i \in \mathbb{Z}/N\mathbb{Z}} v_i \cdot \bigl( (W_i - W_i^{\mathsf T})\, v_{i+1} \bigr),i∈Z/NZ∑​vi​⋅(Wi​vi+1​−Wi−1​vi−1​)=i∈Z/NZ∑​vi​⋅((Wi​−WiT​)vi+1​),

with all index arithmetic taken modulo NNN.

Edge cases the statement covers:

  • N=1N = 1N=1: every shift is trivial. The left side is v0⋅(W0v0−W0v0)=0v_0 \cdot (W_0 v_0 - W_0 v_0) = 0v0​⋅(W0​v0​−W0​v0​)=0. The right side is v0⋅((W0−W0T)v0)v_0 \cdot ((W_0 - W_0^{\mathsf T}) v_0)v0​⋅((W0​−W0T​)v0​).
  • N=2N = 2N=2: i+1i+1i+1 and i−1i-1i−1 are the same index, so both terms of the definition involve the other vector.
  • d=0d = 0d=0: all vectors are empty and both sides are the empty sum 000.
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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