OAI/GroupTheory/Thompson/AnalyticCurveBounds.lean
24 declarations, 0 contain sorry, 0 declared as axioms
Quantitative estimates for the actual Hilbert curve
The derivative estimate uses first-derivative product differences on the oscillating part and the exact straight-tail formula. No second derivative at a profile junction is assumed.
- theorem
OAI.ThompsonNonamenability.Analytic.a_sub_abs_leline 22 - theorem
OAI.ThompsonNonamenability.Analytic.aDeriv_sub_abs_leline 26 - theorem
OAI.ThompsonNonamenability.Analytic.theta_sub_abs_leline 31 - theorem
OAI.ThompsonNonamenability.Analytic.thetaDeriv_sub_abs_leline 34 - theorem
OAI.ThompsonNonamenability.Analytic.waveDeriv_norm_le_oneline 39 - theorem
OAI.ThompsonNonamenability.Analytic.v_sub_norm_le_forwardline 43 - theorem
OAI.ThompsonNonamenability.Analytic.v_lipschitzline 46 - theorem
OAI.ThompsonNonamenability.Analytic.smul_sub_smul_norm_leline 53Source documentation
A product difference estimate with the coefficient difference at the first vector.
theorem smul_sub_smul_norm_le (r q : ℝ) (x y : Hilbert) : ‖r • x - q • y‖ ≤ |r - q| * ‖x‖ + |q| * ‖x - y‖ := by …Mentions: OAI.ThompsonNonamenability.Analytic.q, OAI.ThompsonNonamenability.Analytic.Hilbert
- theorem
OAI.ThompsonNonamenability.Analytic.angularCoeff_boundsline 63Source documentation
The second coefficient in the derivative is nonnegative and uniformly bounded.
theorem angularCoeff_bounds {t : ℝ} (ht : 1 ≤ t) : 0 ≤ a t * thetaDeriv t ∧ a t * thetaDeriv t ≤ 5 / 16 := by …Mentions: OAI.ThompsonNonamenability.Analytic.a, OAI.ThompsonNonamenability.Analytic.thetaDeriv
- theorem
OAI.ThompsonNonamenability.Analytic.angularCoeff_sub_abs_leline 70 - theorem
OAI.ThompsonNonamenability.Analytic.gammaDeriv_speed_upperline 91Source documentation
A global upper speed bound, including the unbounded negative straight tail.
theorem gammaDeriv_speed_upper (t : ℝ) : ‖gammaDeriv t‖ ≤ 7 / 16 := by …
- theorem
OAI.ThompsonNonamenability.Analytic.gamma_sub_norm_le_forwardline 108Source documentation
The ordinary mean value estimate applied to the proved derivative.
theorem gamma_sub_norm_le_forward (s t : ℝ) : ‖gamma s - gamma t‖ ≤ (7 / 16) * |s - t| := by …
- theorem
OAI.ThompsonNonamenability.Analytic.gamma_lipschitzline 115 - theorem
OAI.ThompsonNonamenability.Analytic.gammaDeriv_sub_norm_le_tailline 122Source documentation
On the oscillating tail, product differences give the derivative estimate.
private theorem gammaDeriv_sub_norm_le_tail {s t : ℝ} (hs : 1 ≤ s) (ht : 1 ≤ t) : ‖gammaDeriv s - gammaDeriv t‖ ≤ |s - t| := by … - theorem
OAI.ThompsonNonamenability.Analytic.gammaDeriv_sub_norm_le_forwardline 154Source documentation
The constant derivative on the straight tail joins the oscillating estimate at one.
theorem gammaDeriv_sub_norm_le_forward (s t : ℝ) : ‖gammaDeriv s - gammaDeriv t‖ ≤ |s - t| := by … - theorem
OAI.ThompsonNonamenability.Analytic.gammaDeriv_lipschitzline 181 - theorem
OAI.ThompsonNonamenability.Analytic.u_sub_norm_le_forwardline 188Source documentation
Normalize the actual nonzero tangent using its proved speed lower bound.
theorem u_sub_norm_le_forward (s t : ℝ) : ‖u s - u t‖ ≤ 16 * |s - t| := by …
Mentions: OAI.ThompsonNonamenability.Analytic.u
- theorem
OAI.ThompsonNonamenability.Analytic.u_lipschitzline 197 - theorem
OAI.ThompsonNonamenability.Analytic.v_sub_norm_leline 204Source documentation
Pairwise estimates with the base parameter first.
theorem v_sub_norm_le (s t : ℝ) : ‖v t - v s‖ ≤ |t - s| := …
Mentions: OAI.ThompsonNonamenability.Analytic.v
- theorem
OAI.ThompsonNonamenability.Analytic.gamma_sub_norm_leline 207 - theorem
OAI.ThompsonNonamenability.Analytic.gammaDeriv_sub_norm_leline 210 - theorem
OAI.ThompsonNonamenability.Analytic.u_sub_norm_leline 213 - theorem
OAI.ThompsonNonamenability.Analytic.lipschitzWith_vline 216 - theorem
OAI.ThompsonNonamenability.Analytic.lipschitzWith_uline 218