6. The Local Theorem
For any P \in \mathbb{R}^3 one has
\|M(\theta, \phi) P\|^2=\|P\|^2-\langle X(\theta,\varphi),P\rangle^2.
Lean code for Lemma6.1●1 theorem
Associated Lean declarations
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Local.pythagoras[complete]
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Local.pythagoras[complete]
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theoremdefined in Noperthedron/Local/Prelims.leancomplete
theorem Local.pythagoras {θ φ : ℝ} (P : Euc(3)) : ‖(rotM θ φ) P‖ ^ 2 = ‖P‖ ^ 2 - inner ℝ (vecX θ φ) P ^ 2
theorem Local.pythagoras {θ φ : ℝ} (P : Euc(3)) : ‖(rotM θ φ) P‖ ^ 2 = ‖P‖ ^ 2 - inner ℝ (vecX θ φ) P ^ 2
[SY25] Lemma 21. `rotM θ φ` consists of the first two rows of a rotation whose third row is `vecX θ φ`, so this is Parseval for that rotated orthonormal basis.
See polyhedron.without.rupert, Lemma 21.
Given v_1, \dots, v_n \in \R^n write \mathrm{span}^+(v_1,\dots,v_n) for the set
(simplicial cone) in \R^n defined by
\mathrm{span}^+(v_1,\dots,v_n) = \Big\{ w \in \R^n \colon \exists \lambda_1,\dots,\lambda_n > 0 \text{ s.t. } w = \sum_{i=1}^n \lambda_i v_i \Big\},
$$
which is the natural restriction of \mathrm{span}(v_1,\dots,v_n) to positive weights.
Lean code for Definition6.2●1 definition
Associated Lean declarations
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Local.Spanp[complete]
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Local.Spanp[complete]
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defdefined in Noperthedron/Local/Spanp.leancomplete
def Local.Spanp {n : ℕ} (v : Fin n → Euc(n)) : Set Euc(n)
def Local.Spanp {n : ℕ} (v : Fin n → Euc(n)) : Set Euc(n)
The positive cone of a finite collection of vectors
Let V_1,V_2,V_3,Y,Z \in \mathbb{R}^3 with \|Y \|=\| Z \| and
Z \in \mathrm{span}^+(V_1,V_2,V_3).
Then there exists an i with
\langle V_i, Y \rangle \leq \langle V_i, Z \rangle.
Lean code for Lemma6.3●1 theorem
Associated Lean declarations
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Local.langles[complete]
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Local.langles[complete]
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theoremdefined in Noperthedron/Local/Spanp.leancomplete
theorem Local.langles {Y Z : Euc(3)} {V : Fin 3 → Euc(3)} (hYZ : ‖Y‖ = ‖Z‖) (hZ : Z ∈ Local.Spanp V) : ∃ i, inner ℝ (V i) Y ≤ inner ℝ (V i) Z
theorem Local.langles {Y Z : Euc(3)} {V : Fin 3 → Euc(3)} (hYZ : ‖Y‖ = ‖Z‖) (hZ : Z ∈ Local.Spanp V) : ∃ i, inner ℝ (V i) Y ≤ inner ℝ (V i) Z
[SY25] Lemma 23, with the unnecessary assumption `Y ∈ Spanp V` removed. Only `Z` needs a positive expansion: strict inequalities at every generator would force `⟪Z, Z⟫ < ⟪Z, Y⟫`, contradicting Cauchy–Schwarz and equality of norms.
Write Z=\sum_i c_iV_i with all c_i>0. If every claimed inequality
failed, then \langle Z,Z\rangle<\langle Z,Y\rangle by taking the positive
weighted sum. But Cauchy--Schwarz gives
\langle Z,Y\rangle\leq\|Z\|\|Y\|=\|Z\|^2, a contradiction. Thus the
assumption that Y also lies in the positive cone in Lemma 23 of
polyhedron.without.rupert is unnecessary.
For A,\overline{A},B,\overline{B}\in \mathbb{R}^{m\times n} and P_1,P_2\in \mathbb{R}^n it holds that
|\langle AP_1,BP_2\rangle-\langle \overline{A}P_1,\overline{B}P_2\rangle|
\leq \|P_1\|\,\|P_2\|\,\big( \|A-\overline{A}\|\,\|\overline{B}\| + \|\overline{A}\|\,\|B-\overline{B}\|+\|A-\overline{A}\|\,\|B-\overline{B}\|\big).
Lean code for Lemma6.4●1 theorem
Associated Lean declarations
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Local.abs_sub_inner_bars_le[complete]
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Local.abs_sub_inner_bars_le[complete]
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theoremdefined in Noperthedron/Local/Prelims.leancomplete
theorem Local.abs_sub_inner_bars_le {m n : ℕ} (A B A_ B_ : Euc(m) →L[ℝ] Euc(n)) (P₁ P₂ : Euc(m)) : |inner ℝ (A P₁) (B P₂) - inner ℝ (A_ P₁) (B_ P₂)| ≤ ‖P₁‖ * ‖P₂‖ * (‖A - A_‖ * ‖B_‖ + ‖A_‖ * ‖B - B_‖ + ‖A - A_‖ * ‖B - B_‖)
theorem Local.abs_sub_inner_bars_le {m n : ℕ} (A B A_ B_ : Euc(m) →L[ℝ] Euc(n)) (P₁ P₂ : Euc(m)) : |inner ℝ (A P₁) (B P₂) - inner ℝ (A_ P₁) (B_ P₂)| ≤ ‖P₁‖ * ‖P₂‖ * (‖A - A_‖ * ‖B_‖ + ‖A_‖ * ‖B - B_‖ + ‖A - A_‖ * ‖B - B_‖)
[SY25] Lemma 24
See polyhedron.without.rupert, Lemma 24.
For A,B\in \mathbb{R}^{m\times n} and P_1,P_2\in \mathbb{R}^n one has
|\langle AP_1,AP_2\rangle-\langle BP_1,BP_2\rangle|
\leq \|P_1\|\,\|P_2\|\,\|A-B\|\,(\|A\|+\|B\| + \|A-B\|).
Lean code for Lemma6.5●1 theorem
Associated Lean declarations
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Local.abs_sub_inner_le[complete]
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Local.abs_sub_inner_le[complete]
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theoremdefined in Noperthedron/Local/Prelims.leancomplete
theorem Local.abs_sub_inner_le {m n : ℕ} (A B : Euc(m) →L[ℝ] Euc(n)) (P₁ P₂ : Euc(m)) : |inner ℝ (A P₁) (A P₂) - inner ℝ (B P₁) (B P₂)| ≤ ‖P₁‖ * ‖P₂‖ * ‖A - B‖ * (‖A‖ + ‖B‖ + ‖A - B‖)
theorem Local.abs_sub_inner_le {m n : ℕ} (A B : Euc(m) →L[ℝ] Euc(n)) (P₁ P₂ : Euc(m)) : |inner ℝ (A P₁) (A P₂) - inner ℝ (B P₁) (B P₂)| ≤ ‖P₁‖ * ‖P₂‖ * ‖A - B‖ * (‖A‖ + ‖B‖ + ‖A - B‖)
[SY25] Lemma 25
See polyhedron.without.rupert, Lemma 25.
Let A,B,C\in \mathbb{R}^2 be such that
\langle R(\pi/2) A,B\rangle,
\langle R(\pi/2) B,C\rangle,
\langle R(\pi/2) C,A\rangle > 0.
Then the origin lies strictly in triangle ABC.
Lean code for Lemma6.6●1 theorem
Associated Lean declarations
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Local.origin_in_triangle[complete]
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Local.origin_in_triangle[complete]
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theoremdefined in Noperthedron/Local/OriginInTriangle.leancomplete
theorem Local.origin_in_triangle {A B C : Euc(2)} (hA : 0 < inner ℝ ((rotR (Real.pi / 2)) A) B) (hB : 0 < inner ℝ ((rotR (Real.pi / 2)) B) C) (hC : 0 < inner ℝ ((rotR (Real.pi / 2)) C) A) : ∃ a b c, 0 < a ∧ 0 < b ∧ 0 < c ∧ a • A + b • B + c • C = 0
theorem Local.origin_in_triangle {A B C : Euc(2)} (hA : 0 < inner ℝ ((rotR (Real.pi / 2)) A) B) (hB : 0 < inner ℝ ((rotR (Real.pi / 2)) B) C) (hC : 0 < inner ℝ ((rotR (Real.pi / 2)) C) A) : ∃ a b c, 0 < a ∧ 0 < b ∧ 0 < c ∧ a • A + b • B + c • C = 0
[SY25] Lemma 26
See polyhedron.without.rupert, Lemma 26.
Let \theta, \varphi \in \mathbb{R}, \varepsilon > 0, and set M := M(\theta, \varphi).
Three points P_1, P_2, P_3 \in \mathbb{R}^3 with \|P_1\|, \|P_2\|, \|P_3\| \leq 1
are called \varepsilon-spanning for (\theta, \varphi) if:
-
\langle R(\pi/2) M P_1,M P_{2}\rangle > 2 \epsilon(\sqrt{2} + \varepsilon) -
\langle R(\pi/2) M P_2,M P_{3}\rangle > 2 \epsilon(\sqrt{2} + \varepsilon) -
\langle R(\pi/2) M P_3,M P_{1}\rangle > 2 \epsilon(\sqrt{2} + \varepsilon)
Lean code for Definition6.7●1 definition
Associated Lean declarations
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Local.Triangle.Spanning[complete]
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Local.Triangle.Spanning[complete]
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structuredefined in Noperthedron/Local/EpsSpanning.leancomplete
structure Local.Triangle.Spanning (P : Local.Triangle) (θ φ ε : ℝ) : Prop
structure Local.Triangle.Spanning (P : Local.Triangle) (θ φ ε : ℝ) : Prop
[SY25] Definition 27. Note that the "+ 1" at the type Fin 3 wraps.
Fields
pos : 0 < ε
lt : ∀ (i : Fin 3), 2 * ε * (√2 + ε) < inner ℝ ((rotR (Real.pi / 2)) ((rotM θ φ) (P i))) ((rotM θ φ) (P (i + 1)))
Let P_1, P_2, P_3 \in \mathbb{R}^3 with \|P_1\|,\|P_2\|,\|P_3\| \leq 1 be
\epsilon-spanning for (\bar\theta, \bar\phi) and let
\theta, \phi \in \mathbb{R} satisfy
|\theta - \bar{\theta}|, |\phi - \bar{\phi}| \leq \epsilon.
If \langle X(\theta, \phi), P_i \rangle > 0 for i=1,2,3, then
X(\theta, \phi) \in \spanp(P_1, P_2, P_3).
Lean code for Lemma6.8●1 theorem
Associated Lean declarations
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Local.vecX_spanning[complete]
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Local.vecX_spanning[complete]
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theoremdefined in Noperthedron/Local/EpsSpanning.leancomplete
theorem Local.vecX_spanning {ε θ θ_ φ φ_ : ℝ} (P : Local.Triangle) (hθ : |θ - θ_| ≤ ε) (hφ : |φ - φ_| ≤ ε) (hSpanning : P.Spanning θ_ φ_ ε) (hP : ∀ (i : Fin 3), ‖P i‖ ≤ 1) (hX : ∀ (i : Fin 3), 0 < inner ℝ (vecX θ φ) (P i)) : vecX θ φ ∈ Local.Spanp P
theorem Local.vecX_spanning {ε θ θ_ φ φ_ : ℝ} (P : Local.Triangle) (hθ : |θ - θ_| ≤ ε) (hφ : |φ - φ_| ≤ ε) (hSpanning : P.Spanning θ_ φ_ ε) (hP : ∀ (i : Fin 3), ‖P i‖ ≤ 1) (hX : ∀ (i : Fin 3), 0 < inner ℝ (vecX θ φ) (P i)) : vecX θ φ ∈ Local.Spanp P
[SY25] Lemma 28
Let P, Q \in \mathbb{R}^3 with \|P\|, \|Q\| \leq 1. Let
\epsilon>0 and \bar\theta_1,\bar\phi_1,\bar\theta_2,\bar\phi_2,\bar\alpha \in \mathbb{R} satisfy
\|R(\bar\alpha) M(\bar\theta_1, \bar\phi_1) P - M(\bar\theta_2, \bar\phi_2) Q\| \leq 2\delta.
If |\bar\theta_1-\theta_1|, |\bar\phi_1-\phi_1|, |\bar\theta_2-\theta_2|, |\bar\phi_2-\phi_2|, |\bar\alpha - \alpha| \leq \epsilon,
then
\|R(\alpha)M(\theta_1, \phi_1) P - M(\theta_2, \phi_2) Q\| < 2(\delta + \sqrt{5} \epsilon).
Lean code for Lemma6.9●1 theorem
Associated Lean declarations
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Local.inCirc[complete]
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Local.inCirc[complete]
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theoremdefined in Noperthedron/Local.leancomplete
theorem Local.inCirc {δ ε θ₁ θ₁_ θ₂ θ₂_ φ₁ φ₁_ φ₂ φ₂_ α α_ : ℝ} {P Q : Euc(3)} (hP : ‖P‖ ≤ 1) (hQ : ‖Q‖ ≤ 1) (hε : 0 < ε) (hθ₁ : |θ₁ - θ₁_| ≤ ε) (hφ₁ : |φ₁ - φ₁_| ≤ ε) (hθ₂ : |θ₂ - θ₂_| ≤ ε) (hφ₂ : |φ₂ - φ₂_| ≤ ε) (hα : |α - α_| ≤ ε) (hδ : ‖(rotR α_) ((rotM θ₁_ φ₁_) P) - (rotM θ₂_ φ₂_) Q‖ ≤ 2 * δ) : ‖(rotR α) ((rotM θ₁ φ₁) P) - (rotM θ₂ φ₂) Q‖ < 2 * (δ + √5 * ε)
theorem Local.inCirc {δ ε θ₁ θ₁_ θ₂ θ₂_ φ₁ φ₁_ φ₂ φ₂_ α α_ : ℝ} {P Q : Euc(3)} (hP : ‖P‖ ≤ 1) (hQ : ‖Q‖ ≤ 1) (hε : 0 < ε) (hθ₁ : |θ₁ - θ₁_| ≤ ε) (hφ₁ : |φ₁ - φ₁_| ≤ ε) (hθ₂ : |θ₂ - θ₂_| ≤ ε) (hφ₂ : |φ₂ - φ₂_| ≤ ε) (hα : |α - α_| ≤ ε) (hδ : ‖(rotR α_) ((rotM θ₁_ φ₁_) P) - (rotM θ₂_ φ₂_) Q‖ ≤ 2 * δ) : ‖(rotR α) ((rotM θ₁ φ₁) P) - (rotM θ₂ φ₂) Q‖ < 2 * (δ + √5 * ε)
[SY25] Lemma 30, with the two disc memberships around the midpoint T combined into a single bound on the distance between the two shadow points.
See polyhedron.without.rupert, Lemma 30, which states that both points lie in
the disc of radius \delta + \sqrt{5}\epsilon around their midpoint at the
reference pose; here the two memberships are combined into a single bound on
the distance between the two points.
Let \PP \subset \R^2 be a convex polygon and Q \in \PP one of its vertices.
Define \Sect_\delta(Q) \coloneqq \Circ_{\delta}(Q) \cap \PP^\circ
as the intersection between \Circ_{\delta}(Q) and the interior of the convex hull of \PP.
Moreover, Q \in \PP is called \delta-locally maximally distant (\delta-LMD) if for all A \in \Sect_\delta(Q)
it holds that \|Q\| > \|A\|.
This centers the disc at Q itself; its radius plays the role of twice the
radius in Definition 31 of polyhedron.without.rupert.
Lean code for Definition6.10●1 definition
Associated Lean declarations
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Local.LocallyMaximallyDistant[complete]
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Local.LocallyMaximallyDistant[complete]
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defdefined in Noperthedron/Local/LocallyMaximallyDistant.leancomplete
def Local.LocallyMaximallyDistant (δ : ℝ) (Q : Euc(2)) (P : Finset Euc(2)) : Prop
def Local.LocallyMaximallyDistant (δ : ℝ) (Q : Euc(2)) (P : Finset Euc(2)) : Prop
[SY25] Definition 31, simplified: the paper's "Q is δ-LMD with respect to Q_" uses a ball around an auxiliary center Q_ with ‖Q - Q_‖ < δ, whose only role is to bound ‖A - Q‖ < 2δ for A in that ball. We center the ball at Q itself, so the radius here corresponds to the paper's 2δ.
Let \mathbf{P} be a convex polygon and Q \in \mathbf{P} a vertex, and let \delta>0.
Assume there exists r > 0 with \|Q\| > r such that
\frac{\langle Q, Q - P_j \rangle}{\|Q\|\|Q - P_j\|} \geq \delta/r
for all other vertices P_j \in \mathbf{P} \setminus Q.
Then Q is 2\delta-locally maximally distant.
Lean code for Lemma6.11●1 theorem
Associated Lean declarations
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Local.inner_ge_implies_LMD[complete]
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Local.inner_ge_implies_LMD[complete]
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theoremdefined in Noperthedron/Local/LocallyMaximallyDistant.leancomplete
theorem Local.inner_ge_implies_LMD {P : Finset Euc(2)} {Q : Euc(2)} {δ r : ℝ} (hQ : Q ∈ P) (hr : 0 < r) (hrQ : r < ‖Q‖) (hle : ∀ Pᵢ ∈ P, Pᵢ ≠ Q → δ / r ≤ inner ℝ Q (Q - Pᵢ) / (‖Q‖ * ‖Q - Pᵢ‖)) : Local.LocallyMaximallyDistant (2 * δ) Q P
theorem Local.inner_ge_implies_LMD {P : Finset Euc(2)} {Q : Euc(2)} {δ r : ℝ} (hQ : Q ∈ P) (hr : 0 < r) (hrQ : r < ‖Q‖) (hle : ∀ Pᵢ ∈ P, Pᵢ ≠ Q → δ / r ≤ inner ℝ Q (Q - Pᵢ) / (‖Q‖ * ‖Q - Pᵢ‖)) : Local.LocallyMaximallyDistant (2 * δ) Q P
[SY25] Lemma 32, adapted to the Q-centered `LocallyMaximallyDistant`: the ball of radius 2δ around Q contains the paper's ball of radius δ around any Q_ with ‖Q - Q_‖ < δ, and the cosine bound δ/r is unchanged.
See polyhedron.without.rupert, Lemma 32: the disc of radius 2\delta around
Q contains the paper's disc of radius \delta around any \overline Q with
\|Q-\overline Q\|<\delta (cf. Definition).
Let \epsilon>0 and \theta,\bar\theta, \phi, \bar\phi \in \mathbb{R} with
|\theta - \bar{\theta}|, |\phi - \bar{\phi}| \leq \epsilon.
Define M = M(\theta, \phi) and \overline{M} = M(\bar\theta, \bar\phi),
and let P, Q \in \mathbb{R}^3 with \|P\|, \|Q\| \leq 1.
Assume that
\frac{\langle \overline{M} P,\overline{M} (P-Q)\rangle - 2 \epsilon \|P-Q\| \cdot (\sqrt{2}+\varepsilon)}{ \big(\|\overline{M} P\|+\sqrt{2} \varepsilon \big) \cdot \big(\|\overline{M}(P-Q)\|+2 \sqrt{2} \varepsilon\big)} > 0.
$$
Then:
\frac{\langle MP,M(P-Q)\rangle}{\|MP\|\,\|M(P-Q)\|}
\geq
\frac{\langle \overline{M} P,\overline{M} (P-Q)\rangle - 2 \epsilon \|P-Q\| \cdot (\sqrt{2}+\varepsilon)}{ (\|\overline{M} P\|+\sqrt{2} \varepsilon ) \cdot (\|\overline{M}(P-Q)\|+2 \sqrt{2} \varepsilon)}.
Lean code for Lemma6.12●1 theorem
Associated Lean declarations
-
Local.coss[complete]
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Local.coss[complete]
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theoremdefined in Noperthedron/Local/Coss.leancomplete
theorem Local.coss {ε θ θ_ φ φ_ : ℝ} {P Q : Euc(3)} (hP : ‖P‖ ≤ 1) (hQ : ‖Q‖ ≤ 1) (hε : 0 < ε) (hθ : |θ - θ_| ≤ ε) (hφ : |φ - φ_| ≤ ε) : have M := rotM θ φ; have M_ := rotM θ_ φ_; 0 < (inner ℝ (M_ P) (M_ (P - Q)) - 2 * ε * ‖P - Q‖ * (√2 + ε)) / ((‖M_ P‖ + √2 * ε) * (‖M_ (P - Q)‖ + 2 * √2 * ε)) → (inner ℝ (M_ P) (M_ (P - Q)) - 2 * ε * ‖P - Q‖ * (√2 + ε)) / ((‖M_ P‖ + √2 * ε) * (‖M_ (P - Q)‖ + 2 * √2 * ε)) ≤ inner ℝ (M P) (M (P - Q)) / (‖M P‖ * ‖M (P - Q)‖)
theorem Local.coss {ε θ θ_ φ φ_ : ℝ} {P Q : Euc(3)} (hP : ‖P‖ ≤ 1) (hQ : ‖Q‖ ≤ 1) (hε : 0 < ε) (hθ : |θ - θ_| ≤ ε) (hφ : |φ - φ_| ≤ ε) : have M := rotM θ φ; have M_ := rotM θ_ φ_; 0 < (inner ℝ (M_ P) (M_ (P - Q)) - 2 * ε * ‖P - Q‖ * (√2 + ε)) / ((‖M_ P‖ + √2 * ε) * (‖M_ (P - Q)‖ + 2 * √2 * ε)) → (inner ℝ (M_ P) (M_ (P - Q)) - 2 * ε * ‖P - Q‖ * (√2 + ε)) / ((‖M_ P‖ + √2 * ε) * (‖M_ (P - Q)‖ + 2 * √2 * ε)) ≤ inner ℝ (M P) (M (P - Q)) / (‖M P‖ * ‖M (P - Q)‖)
[SY25] Lemma 33
Let P_1,P_2,P_3, Q_1,Q_2,Q_3 \in \mathbb{R}^3.
Define P := (P_1|P_2|P_3) and Q := (Q_1|Q_2|Q_3) and assume Q is invertible.
Then P_1, P_2, P_3 and Q_1, Q_2, Q_3 are congruent iff P^t P = Q^t Q.
Lean code for Lemma6.13●1 theorem
Associated Lean declarations
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Local.congruent_iff_sym_matrix_eq[complete]
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Local.congruent_iff_sym_matrix_eq[complete]
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theoremdefined in Noperthedron/Local/Congruent.leancomplete
theorem Local.congruent_iff_sym_matrix_eq (P Q : Local.Triangle) (hQ : Invertible Q.toMatrix) : P.Congruent Q ↔ P.toSymMatrix = Q.toSymMatrix
theorem Local.congruent_iff_sym_matrix_eq (P Q : Local.Triangle) (hQ : Invertible Q.toMatrix) : P.Congruent Q ↔ P.toSymMatrix = Q.toSymMatrix
[SY25] Lemma 35. Map the basis `Q` to the vectors `P`; equality of their Gram matrices makes this linear map preserve inner products.
An isometry preserves inner products, so congruence implies equality of the
Gram matrices. Conversely, since the Q_i form a basis, define a linear map
L by L(Q_i)=P_i. The equality P^t P=Q^t Q says that
\langle L(Q_i),L(Q_j)\rangle=\langle Q_i,Q_j\rangle for every i,j.
Expanding arbitrary vectors in this basis shows that L preserves all inner
products, and hence is the required linear isometry.
For the same construction in matrix form, if a congruence L is given then
\langle P_i,P_j\rangle=\langle LQ_i,LQ_j\rangle=\langle Q_i,Q_j\rangle,
so P^tP=Q^tQ. Conversely, with L\coloneqq PQ^{-1}, we have
L^tL=(PQ^{-1})^t(PQ^{-1})=(Q^t)^{-1}P^tPQ^{-1}=\mathrm{Id} and
LQ=PQ^{-1}Q=P, so LQ_i=P_i for each i.
Let \PPP be a polyhedron with radius \rho=1 and
P_1, P_2, P_3, Q_1, Q_2, Q_3 \in \PPP be not necessarily distinct.
Assume that P_1, P_2, P_3 and Q_1, Q_2, Q_3 are congruent.
Let \epsilon>0 and \thetab_1,\phib_1,\thetab_2,\phib_2,\alphab \in \R, then set
\Xib \coloneqq X(\thetab_1,\phib_1), \Xiib \coloneqq X(\thetab_2,\phib_2) as well as
\Mib \coloneqq M(\thetab_1,\phib_1), \Miib \coloneqq M(\thetab_2,\phib_2).
Assume that there exist \sigma_P, \sigma_Q \in \{0,1\} such that
(-1)^{\sigma_P} \langle \Xib,P_i\rangle>\sqrt{2}\varepsilon \quad \text{and} \quad
(-1)^{\sigma_Q} \langle \Xiib , Q_i\rangle>\sqrt{2}\varepsilon,
$$
for all i=1,2,3.
Moreover, assume that P_1,P_2,P_3 are \epsilon-spanning for (\thetab_1,\phib_1) and that
Q_1,Q_2,Q_3 are \epsilon-spanning for (\thetab_2,\phib_2).
Finally, assume that for all i = 1,2,3 and any Q_j \in \PPP \setminus Q_i it holds that
\frac{\langle \Miib Q_i,\Miib (Q_i-Q_j)\rangle - 2 \epsilon \|Q_i-Q_j\| \cdot (\sqrt{2}+\varepsilon)}{ \big(\|\Miib Q_i\|+\sqrt{2} \varepsilon \big) \cdot \big(\|\Miib(Q_i-Q_j)\|+2 \sqrt{2} \varepsilon\big)} > \frac{\sqrt{5} \epsilon + \delta}{r},
$$
for some r >0 such that \min_{i=1,2,3}\| \Miib Q_i \| > r + \sqrt{2} \epsilon
and for some \delta \in \R with
\delta \geq \max_{i=1,2,3}\left\|R(\alphab) \Mib P_i - \Miib Q_i\right\|/2.
$$
Then there exists no solution to Rupert's problem
R(\alpha) M(\theta_1,\phi_1)\PPP \subset M(\theta_2,\phi_2)\PPP^\circ with
(\theta_1, \phi_1, \theta_2, \phi_2, \alpha) \in
[\thetab_1\pm\epsilon,\phib_1\pm\epsilon,\thetab_2\pm\epsilon,\phib_2\pm\epsilon,\alphab\pm\epsilon] \coloneqq U \subseteq \R^5.
Lean code for Theorem6.14●1 theorem
Associated Lean declarations
-
Local.local_theorem[complete]
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Local.local_theorem[complete]
-
theoremdefined in Noperthedron/Local.leancomplete
theorem Local.local_theorem {ι : Type} [Fintype ι] [Nonempty ι] (poly : GoodPoly ι) (p_ : Pose ℝ) (ε : ℝ) (pc : Local.LocalTheoremPrecondition poly p_ ε) : ¬∃ p, p_.near ε ε ε ε ε p ∧ RupertPose p poly.hull
theorem Local.local_theorem {ι : Type} [Fintype ι] [Nonempty ι] (poly : GoodPoly ι) (p_ : Pose ℝ) (ε : ℝ) (pc : Local.LocalTheoremPrecondition poly p_ ε) : ¬∃ p, p_.near ε ε ε ε ε p ∧ RupertPose p poly.hull
[SY25] Theorem 36