Theorems · Inductive type · probability
ProbabilityTheory.IsGaussian
{E : Type u_1} →
[TopologicalSpace E] →
[inst : AddCommMonoid E] → [Module ℝ E] → {mE : MeasurableSpace E} → MeasureTheory.Measure E → PropA measure is Gaussian if its map by every continuous linear form is a real Gaussian measure.
- Cited by
- 48 results in Mathlib
- Foundations
- Depth 95 from the axioms · uses propext, Classical.choice, Quot.sound
Around this declaration
Dashed lines are statement dependencies; solid lines are citations in proofs.
Cites6
Mathlib declarations this one mentions in its statement or cites explicitly in its proof. Plumbing is filtered out.
- Realstatement · cited by 25,697
- TopologicalSpacestatement · cited by 24,529
- Modulestatement · cited by 20,661
- MeasurableSpacestatement · cited by 13,106
- AddCommMonoidstatement · cited by 12,281
- MeasureTheory.Measurestatement · cited by 10,939
Cited by52
Results whose statement or proof uses this declaration.
- ProbabilityTheory.IsGaussian.integrable_idstatement and proof · cited by 11
- ProbabilityTheory.IsGaussian.memLp_two_idstatement and proof · cited by 10
- ProbabilityTheory.IsGaussian.charFunDual_eqstatement and proof · cited by 9
- ProbabilityTheory.IsGaussian.map_eq_gaussianRealstatement and proof · cited by 6
- ProbabilityTheory.integral_id_multivariateGaussianproof · cited by 5
- ProbabilityTheory.HasGaussianLaw.isGaussian_mapstatement · cited by 5
- ProbabilityTheory.isGaussian_iff_gaussian_charFunDualstatement and proof · cited by 4
- ProbabilityTheory.HasGaussianLaw.map_of_measurableproof · cited by 4
- ProbabilityTheory.IsGaussian.memLp_idstatement and proof · cited by 4
- ProbabilityTheory.IsGaussianProcess.isPreBrownianReal_of_covarianceproof · cited by 4
- ProbabilityTheory.IsGaussian.charFunDual_eq'statement and proof · cited by 3
- ProbabilityTheory.IsGaussian.extstatement and proof · cited by 3