Theorems · Theorem · probability
ProbabilityTheory.IsGaussian.eq_gaussianReal
∀ (μ : MeasureTheory.Measure ℝ),
ProbabilityTheory.IsGaussian μ →
μ = ProbabilityTheory.gaussianReal (∫ (x : ℝ), id x ∂μ) (ProbabilityTheory.variance id μ).toNNRealA Gaussian measure over ℝ is some gaussianReal.
- Cited by
- 2 results in Mathlib
- Foundations
- Depth 253 from the axioms · uses propext, Classical.choice, Quot.sound
Around this declaration
Dashed lines are statement dependencies; solid lines are citations in proofs.
Cites10
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
- MeasureTheory.Measurestatement and proof · cited by 10,939
- MeasureTheory.integralstatement and proof · cited by 1,779
- Real.toNNRealstatement and proof · cited by 267
- ContinuousLinearMap.idproof · cited by 233
- ProbabilityTheory.variancestatement and proof · cited by 104
- ProbabilityTheory.gaussianRealstatement and proof · cited by 77
- ProbabilityTheory.IsGaussianstatement and proof · cited by 48
- MeasureTheory.Measure.map_idproof · cited by 29
- ProbabilityTheory.IsGaussian.map_eq_gaussianRealproof · cited by 6
Cited by2
Results whose statement or proof uses this declaration.
- ProbabilityTheory.HasGaussianLaw.map_eq_gaussianRealproof · cited by 2
- ProbabilityTheory.isGaussian_of_isGaussian_mapproof · cited by 1