OAI/Combinatorics/EditApproximation/Geometry/ParameterDependencyAsymptotics.lean

GitHub source file

19 declarations, 0 contain sorry, 0 declared as axioms

The actual pass/index count and the exponents in the dependency-path bound. These statements concern computed numbers, independently of the proof that an evaluator satisfies the dependency budgets.

  1. theorem OAI.EditApproximation.le_fourth_root_of_fourth_power_le line 16
  2. theorem OAI.EditApproximation.warmup_smallLog_square_div_height_tendsto line 22
  3. theorem OAI.EditApproximation.computed_warmup_le_refinement_eventually line 46
  4. theorem OAI.EditApproximation.computed_warmup_div_refinement_tendsto line 64
  5. theorem OAI.EditApproximation.scalar_pass_count_bound line 75
  6. theorem OAI.EditApproximation.computed_pass_count_bound line 98
  7. def OAI.EditApproximation.computedDependencyIndexCount line 123
  8. theorem OAI.EditApproximation.scalar_dependency_index_bound line 126
  9. theorem OAI.EditApproximation.computed_dependency_index_bound_eventually line 140
  10. theorem OAI.EditApproximation.coarse_shifted_square_div_smallExponent_tendsto line 158
  11. theorem OAI.EditApproximation.scalar_weighted_dependency_bound line 170
  12. theorem OAI.EditApproximation.weighted_dependency_div_height_tendsto line 187

    Source documentation

    The exponent of the earlier-index branching factor is o(H).

    theorem weighted_dependency_div_height_tendsto :
        Tendsto (fun N => ((coarseExponent (inputSmallLog N) : ā„) + 1) *
          computedDependencyIndexCount N * Real.log (inputHeight N : ā„) / inputHeight N)
          atTop (š“ 0) := by
    …

    Mentions: OAI.EditApproximation.coarseExponent, OAI.EditApproximation.inputSmallLog, OAI.EditApproximation.computedDependencyIndexCount, OAI.EditApproximation.inputHeight

  13. def OAI.EditApproximation.computedMaxTreeDepth line 214
  14. theorem OAI.EditApproximation.intervalTreeDepth_le_computedMax line 216
  15. theorem OAI.EditApproximation.tree_logSmallLog_div_height_tendsto line 222

    Source documentation

    A uniform depth upper bound is obtained by using the total length as the source length.

    theorem tree_logSmallLog_div_height_tendsto :
        Tendsto (fun N => (computedMaxTreeDepth N : ā„) *
          Real.log (inputSmallLog N : ā„) / inputHeight N) atTop (š“ 0) := by
    …

    Mentions: OAI.EditApproximation.computedMaxTreeDepth, OAI.EditApproximation.inputSmallLog, OAI.EditApproximation.inputHeight

  16. theorem OAI.EditApproximation.tree_depth_div_height_tendsto line 247
  17. theorem OAI.EditApproximation.dependency_index_div_height_tendsto line 256
  18. def OAI.EditApproximation.computedDependencyOverheadExponent line 271
  19. theorem OAI.EditApproximation.computedDependencyOverheadExponent_tendsto line 279

    Source documentation

    Every fixed choice of the two branching-budget constants yields a sublinear logarithmic overhead in the dependency-path bound.

    theorem computedDependencyOverheadExponent_tendsto (C₁ Cā‚‚ : ā„) :
        Tendsto (fun N => computedDependencyOverheadExponent C₁ Cā‚‚ N / inputHeight N)
          atTop (š“ 0) := by
    …

    Mentions: OAI.EditApproximation.computedDependencyOverheadExponent, OAI.EditApproximation.inputHeight