Theorems · Theorem · probability
ProbabilityTheory.variance_map
∀ {Ω : Type u_1} {mΩ : MeasurableSpace Ω} {X : Ω → ℝ} {Ω' : Type u_3} {mΩ' : MeasurableSpace Ω'}
{μ : MeasureTheory.Measure Ω'} {Y : Ω' → Ω},
AEMeasurable X (MeasureTheory.Measure.map Y μ) →
AEMeasurable Y μ →
ProbabilityTheory.variance X (MeasureTheory.Measure.map Y μ) = ProbabilityTheory.variance (X ∘ Y) μ- Defined in
- Mathlib.Probability.Moments.Variance
- Cited by
- 11 results in Mathlib
- Foundations
- Depth 256 from the axioms · uses propext, Classical.choice, Quot.sound
Around this declaration
Dashed lines are statement dependencies; solid lines are citations in proofs.
Cites15
Mathlib declarations this one mentions in its statement or cites explicitly in its proof. Plumbing is filtered out.
- Realstatement and proof · cited by 25,697
- NormedAddCommGroupproof · cited by 15,752
- MeasurableSpacestatement and proof · cited by 13,106
- NormedSpaceproof · cited by 12,499
- MeasureTheory.Measurestatement and proof · cited by 10,939
- MeasureTheory.integralproof · cited by 1,779
- MeasureTheory.Measure.mapstatement and proof · cited by 858
- AEMeasurablestatement and proof · cited by 840
- ProbabilityTheory.variancestatement and proof · cited by 104
- MeasureTheory.integral_mapproof · cited by 67
- AEMeasurable.aestronglyMeasurableproof · cited by 57
- ProbabilityTheory.variance_eq_integralproof · cited by 10
Cited by11
Results whose statement or proof uses this declaration.
- ProbabilityTheory.HasGaussianLaw.charFunDual_map_eqproof · cited by 4
- ProbabilityTheory.HasGaussianLaw.map_eq_gaussianRealproof · cited by 2
- ProbabilityTheory.hasGaussianLaw_iff_charFunDual_map_eqproof · cited by 1
- MeasureTheory.MeasurePreserving.variance_fun_compproof · cited by 1
- ProbabilityTheory.variance_sum_piproof · cited by 1
- ProbabilityTheory.variance_dual_stdGaussianproof · cited by 1
- ProbabilityTheory.HasLaw.variance_eqproof · cited by 1
- ProbabilityTheory.isGaussian_of_isGaussian_mapproof · cited by 1
- ProbabilityTheory.variance_id_mapproof · cited by 1
- ProbabilityTheory.HasGaussianLaw.charFun_map_eqproof · cited by 1
- ProbabilityTheory.hasGaussianLaw_iff_charFun_map_eqproof · cited by 0