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Löwner–John rounding for polytopes

Proved
ConvexOptimization.lowner_john_polytope_rounding

by Shuze Chen · Aug 13, 2026 · Mathlib c5ea003 (Lean v4.30.0)

convexgeometryconvexoptimizationellipsoids

Löwner–John rounding for polytopes. Shrinking the minimum-volume covering ellipsoid of a polytope about its centre by the factor 1/n1/n1/n lands inside the polytope.

Let n≥1n \ge 1n≥1, let x1,…,xm∈Rnx_1,\dots,x_m \in \mathbb{R}^nx1​,…,xm​∈Rn and let C=conv⁡{x1,…,xm}C = \operatorname{conv}\{x_1,\dots,x_m\}C=conv{x1​,…,xm​}. Let (A,b)(A,b)(A,b) be a Löwner–John pair for the points: AAA symmetric positive definite, C⊆E:=E(A,b)={v:∥Av+b∥2≤1}C \subseteq \mathcal{E} := \mathcal{E}(A,b) = \{v : \lVert Av + b\rVert_2 \le 1\}C⊆E:=E(A,b)={v:∥Av+b∥2​≤1}, and det⁡A\det AdetA maximal among all such covering pairs. Write x0=−A−1bx_0 = -A^{-1}bx0​=−A−1b for the centre of E\mathcal{E}E. Then

x0+1n(E−x0)  ⊆  C,x_0 + \tfrac{1}{n}\bigl(\mathcal{E} - x_0\bigr) \;\subseteq\; C ,x0​+n1​(E−x0​)⊆C,

that is, every v∈Rnv \in \mathbb{R}^nv∈Rn with ∥Av+b∥2≤1/n\lVert Av + b\rVert_2 \le 1/n∥Av+b∥2​≤1/n — equivalently (Av+b)T(Av+b)≤1/n2(Av+b)^{T}(Av+b) \le 1/n^{2}(Av+b)T(Av+b)≤1/n2 — belongs to CCC. Combined with the covering property C⊆EC \subseteq \mathcal{E}C⊆E that is part of the hypothesis, the polytope is sandwiched between two concentric homothetic ellipsoids whose ratio is the dimension nnn.

This is the quantitative statement that a polytope can be rounded: after the affine change of coordinates taking E\mathcal{E}E to the unit ball, CCC lies between the balls of radius 1/n1/n1/n and 111. Such a sandwich is what makes ellipsoid-method volume arguments and Banach–Mazur distance estimates work. The factor nnn cannot be improved — it is attained by the simplex (Boyd & Vandenberghe, exercise 8.13) — and for general convex bodies, rather than polytopes, the same bound holds by an approximation argument.

Formalization Note The conclusion is stated in the scaled-preimage form ∥Av+b∥2≤1/n\lVert Av+b\rVert_2 \le 1/n∥Av+b∥2​≤1/n, using the dot product ⬝ᵥ on Fin n → ℝ, so that no inverse A−1A^{-1}A−1 or explicit centre needs to appear; the covering hypothesis is imposed on the range of the family x : Fin m → (Fin n → ℝ), which is equivalent to imposing it on CCC because ellipsoids are convex. The dimension nn is assumed positive. Source: Boyd & Vandenberghe §8.4.1, p. 412.

Preamble
import Mathlib
import Definitions.Def_ConvexOptimization_ellipsoidBody
import Definitions.Def_ConvexOptimization_IsLownerJohn

open scoped RealInnerProductSpace ENNReal
open MeasureTheory

Formal statement
theorem ConvexOptimization.lowner_john_polytope_rounding {nn m : ℕ} (hnn : 0 < nn)
    (x : Fin m → Fin nn → ℝ) (A : Matrix (Fin nn) (Fin nn) ℝ) (b : Fin nn → ℝ)
    (hopt : IsLownerJohn A b (Set.range x)) (v : Fin nn → ℝ)
    (hv : (A.mulVec v + b) ⬝ᵥ (A.mulVec v + b) ≤ 1 / (nn : ℝ) ^ 2) :
    v ∈ convexHull ℝ (Set.range x) := by
  sorry
Source
Boyd & Vandenberghe 2004, Convex Optimization, Cambridge University Press (seventh printing with corrections, 2009), https://web.stanford.edu/~boyd/cvxbook/, pp. 412, 449, §8.4.1 (Loewner-John rounding: shrinking the covering ellipsoid by the factor 1/n about its centre lands inside the polytope); tightness on simplices is exercise 8.13
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What the Lean code literally says, in plain math · claude-fable-5

Theorem. Fix nn,m∈Nnn,m\in\mathbb{N}nn,m∈N with 0<nn0<nn0<nn (nn=0nn=0nn=0 excluded, so 1/nn21/nn^{2}1/nn2 is a genuine positive real), points x1,…,xm∈Rnnx_1,\dots,x_m\in\mathbb{R}^{nn}x1​,…,xm​∈Rnn, a matrix AAA and a vector bbb. Assume (A,b)(A,b)(A,b) satisfies the Löwner–John predicate for {xi}\{x_i\}{xi​} — unfolded: AAA is symmetric; AAA is positive definite (Mathlib's notion, which includes symmetry; in particular AAA is invertible); every xix_ixi​ satisfies ∥Axi+b∥2≤1\lVert Ax_i+b\rVert^{2}\le 1∥Axi​+b∥2≤1; and det⁡A′≤det⁡A\det A'\le\det AdetA′≤detA for every symmetric positive-definite A′A'A′ with any offset b′b'b′ whose body {v:∥A′v+b′∥2≤1}\{v:\lVert A'v+b'\rVert^{2}\le 1\}{v:∥A′v+b′∥2≤1} contains all the xix_ixi​. Then every vector vvv with (Av+b)⋅(Av+b)≤1/nn2(Av+b)\cdot(Av+b)\le 1/nn^{2}(Av+b)⋅(Av+b)≤1/nn2 — the same quadratic form as the ellipsoid body but at level 1/nn21/nn^{2}1/nn2 instead of 111, i.e. ∥Av+b∥≤1/nn\lVert Av+b\rVert\le 1/nn∥Av+b∥≤1/nn, which (since AAA is invertible under the hypothesis) is the body concentrically shrunk by the factor 1/nn1/nn1/nn about its center −A−1b-A^{-1}b−A−1b — belongs to the convex hull over R\mathbb{R}R of {xi}\{x_i\}{xi​}. Edge cases: the shrunk region always contains the center −A−1b-A^{-1}b−A−1b itself; there is no separate hypothesis that the hull has nonempty interior or that m≥1m\ge 1m≥1 — for point families for which the Löwner–John predicate is unsatisfiable (e.g. m=0m=0m=0, or all points in a proper affine subspace, with nn≥1nn\ge 1nn≥1), the statement is vacuous.

Human review
  • Endorsed by Community (Bot) · Aug 13, 2026

  • Endorsed by Shuze Chen · Aug 13, 2026

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

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