OAI/Geometry/RCD/Heat/HeatGramRebase.lean
3 declarations, 0 contain sorry, 0 declared as axioms
Returning the heat comparison to the original coordinate frame
- theorem
OAI.RegularPointCoordinates.cutoffHeatGram_rebaseline 24Source documentation
Rebasing the columns preserves the unregularized normalized heat matrix; the original regularizer contributes its exact conjugate.
theorem cutoffHeatGram_rebase (U : E →L[ℝ] SobolevSpace μ hQ) (T A : E ≃L[ℝ] E) {t : ℝ} (ht : 0 < t) (x : X) (lambda : ℝ) : (A : E →L[ℝ] E).adjoint.comp ((cutoffHeatGram μ hQ hk hχ hsχ U ht x lambda).comp (A : E →L[ℝ] E)) = (A.trans T.symm : E →L[ℝ] E).adjoint.comp ((cutoffHeatGram μ hQ hk hχ hsχ (U.comp (T : E →L[ℝ] E)) ht x 0).comp (A.trans T.symm : E →L[ℝ] E)) + (lambda * t) • (A : E →L[ℝ] E).adjoint.comp (A : E →L[ℝ] E) := by …Mentions: OAI.RegularPointCoordinates.SobolevSpace, OAI.RegularPointCoordinates.cutoffHeatGram
- theorem
OAI.RegularPointCoordinates.cutoffHeatGram_rebase_norm_leline 38Source documentation
The scalar regularizer in the original frame costs the squared norm of the one working-scale normalization. This constant is independent of all subsequent finer scales.
theorem cutoffHeatGram_rebase_norm_le (U : E →L[ℝ] SobolevSpace μ hQ) (T A : E ≃L[ℝ] E) {t : ℝ} (ht : 0 < t) (x : X) (lambda : ℝ) {b : ℝ} (hA : ‖(A.trans T.symm : E →L[ℝ] E)‖ ^ 2 ≤ b) : ‖(A : E →L[ℝ] E).adjoint.comp ((cutoffHeatGram μ hQ hk hχ hsχ U ht x lambda).comp (A : E →L[ℝ] E)) - ContinuousLinearMap.id ℝ E‖ ≤ ‖(A.trans T.symm : E →L[ℝ] E).adjoint.comp ((cutoffHeatGram μ hQ hk hχ hsχ (U.comp (T : E →L[ℝ] E)) ht x 0).comp (A.trans T.symm : E →L[ℝ] E)) - ContinuousLinearMap.id ℝ E‖ + |lambda * t| * ‖(T : E →L[ℝ] E)‖ ^ 2 * b := by …Mentions: OAI.RegularPointCoordinates.SobolevSpace, OAI.RegularPointCoordinates.cutoffHeatGram
- theorem
OAI.RegularPointCoordinates.exists_rebased_regularizer_thresholdline 71Source documentation
A fixed bound for the working frame permits a uniform fine-scale choice for the original scalar regularizer.
theorem exists_rebased_regularizer_threshold {B R lambda η : ℝ} (hB : 0 ≤ B) (hη : 0 < η) : ∃ N : ℕ, ∀ k, N ≤ k → ∀ r, 0 ≤ r → (2 : ℝ) ^ k * r ≤ R → ∀ T : E →L[ℝ] E, ‖T‖ ^ 2 ≤ B → |lambda * r ^ 2| * ‖T‖ ^ 2 * (2 : ℝ) ^ k < η := by …