Learning.means_obliviousEnv
No docstring.
Learning.means_obliviousEnv.{u_1, u_2, u_3} {ฮฉ : Type u_1} {๐ : Type u_2} {๐จ : Type u_3} {m๐ : MeasurableSpace ๐} {m๐จ : MeasurableSpace ๐จ} [NormedAddCommGroup ๐จ] [NormedSpace โ ๐จ] {A : โ โ ฮฉ โ ๐} {Y : โ โ ฮฉ โ ๐จ} (ฮฝ : โ โ ProbabilityTheory.Kernel ๐ ๐จ) [โ (n : โ), ProbabilityTheory.IsMarkovKernel (ฮฝ n)] (k : ๐) (n : โ) (ฯ : ฮฉ) : Environment.means (obliviousEnv ฮฝ) A Y k n ฯ = โซ (x : ๐จ), id x โ(ฮฝ n) kLearning.means_obliviousEnv.{u_1, u_2, u_3} {ฮฉ : Type u_1} {๐ : Type u_2} {๐จ : Type u_3} {m๐ : MeasurableSpace ๐} {m๐จ : MeasurableSpace ๐จ} [NormedAddCommGroup ๐จ] [NormedSpace โ ๐จ] {A : โ โ ฮฉ โ ๐} {Y : โ โ ฮฉ โ ๐จ} (ฮฝ : โ โ ProbabilityTheory.Kernel ๐ ๐จ) [โ (n : โ), ProbabilityTheory.IsMarkovKernel (ฮฝ n)] (k : ๐) (n : โ) (ฯ : ฮฉ) : Environment.means (obliviousEnv ฮฝ) A Y k n ฯ = โซ (x : ๐จ), id x โ(ฮฝ n) k
Code
lemma means_obliviousEnv (ฮฝ : โ โ Kernel ๐ ๐จ) [โ n, IsMarkovKernel (ฮฝ n)]
(k : ๐) (n : โ) (ฯ : ฮฉ) :
(obliviousEnv ฮฝ).means A Y k n ฯ = (ฮฝ n k)[id]Proof
by simp
Actions: Source ยท Open Issue
New in v4.34.0-rc2-14-gf86702d (2026-08-25), and its meaning has not changed since.
Self-contained, with its dependencies inlined and proofs replaced by sorry: download the raw file ยท open it in the Lean web editor.
Dependency graph
Audit surface: 5 project declarations, 42 external constants
โ Proved: no sorry anywhere in its closure
This is the tool's own reading of one build's recorded axioms, and it is not robust against an author who wants it to pass. Checking meant to be relied on should go through Comparator, which replays the proof through the kernel from an export against an explicit list of permitted axioms.