OAI/GroupTheory/Thompson/InvariantMean.lean

GitHub source file

17 declarations, 0 contain sorry, 0 declared as axioms

Positive normalized left-invariant means

The domain is the actual space of all bounded real functions on the group. Continuity is a consequence of positivity and normalization, not an assumption.

  1. theorem OAI.ThompsonNonamenability.BoundedReal.smul_one_apply line 23
  2. theorem OAI.ThompsonNonamenability.leftPull_apply line 30
  3. theorem OAI.ThompsonNonamenability.leftPull_one line 34
  4. theorem OAI.ThompsonNonamenability.leftPull_mul line 40

    Source documentation

    Pullback reverses the order of the two left multiplications.

    theorem leftPull_mul (h k : G) (f : BoundedReal G) :
        leftPull (h * k) f = leftPull k (leftPull h f) := by
    …

    Mentions: OAI.ThompsonNonamenability.BoundedReal, OAI.ThompsonNonamenability.leftPull

  5. instance OAI.ThompsonNonamenability.InvariantMean.(instance at line 48) line 48
  6. theorem OAI.ThompsonNonamenability.InvariantMean.map_zero line 52
  7. theorem OAI.ThompsonNonamenability.InvariantMean.map_add line 55
  8. theorem OAI.ThompsonNonamenability.InvariantMean.map_sub line 59
  9. theorem OAI.ThompsonNonamenability.InvariantMean.map_smul line 63
  10. theorem OAI.ThompsonNonamenability.InvariantMean.map_const line 69

    Source documentation

    Evaluation of a constant function.

    theorem map_const (M : InvariantMean G) (r : ℝ) :
        M (r • (1 : BoundedReal G)) = r := by
    …

    Mentions: OAI.ThompsonNonamenability.InvariantMean, OAI.ThompsonNonamenability.BoundedReal

  11. theorem OAI.ThompsonNonamenability.InvariantMean.mono line 74

    Source documentation

    Positivity gives monotonicity for the pointwise order.

    theorem mono (M : InvariantMean G) {f g : BoundedReal G}
        (hfg : ∀ x, f x ≤ g x) : M f ≤ M g := by
    …

    Mentions: OAI.ThompsonNonamenability.InvariantMean, OAI.ThompsonNonamenability.BoundedReal

  12. theorem OAI.ThompsonNonamenability.InvariantMean.abs_apply_le_norm line 81

    Source documentation

    A mean has norm at most one, as a consequence of its defining axioms.

    theorem abs_apply_le_norm (M : InvariantMean G) (f : BoundedReal G) :
        |M f| ≤ ‖f‖ := by
    …

    Mentions: OAI.ThompsonNonamenability.InvariantMean, OAI.ThompsonNonamenability.BoundedReal

  13. def OAI.ThompsonNonamenability.InvariantMean.toContinuousLinearMap line 95

    Source documentation

    The continuous functional furnished automatically by a positive normalized mean.

    def toContinuousLinearMap (M : InvariantMean G) : BoundedReal G →L[ℝ] ℝ :=
    …

    Mentions: OAI.ThompsonNonamenability.InvariantMean, OAI.ThompsonNonamenability.BoundedReal

  14. theorem OAI.ThompsonNonamenability.InvariantMean.toContinuousLinearMap_apply line 100
  15. theorem OAI.ThompsonNonamenability.InvariantMean.continuous line 103
  16. theorem OAI.ThompsonNonamenability.InvariantMean.norm_toContinuousLinearMap_le_one line 106
  17. theorem OAI.ThompsonNonamenability.InvariantMean.norm_toContinuousLinearMap line 114

    Source documentation

    Normalization makes the automatic functional's operator norm exactly one.

    theorem norm_toContinuousLinearMap (M : InvariantMean G) :
        ‖M.toContinuousLinearMap‖ = 1 := by
    …

    Mentions: OAI.ThompsonNonamenability.InvariantMean