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comp_prod_fun_tsum_left (κ : kernel α β) (η : kernel (α × β) γ) [is_s_finite_kernel κ] (a : α) (s : set (β × γ)) : comp_prod_fun κ η a s = ∑' n, comp_prod_fun (seq κ n) η a s
by simp_rw [comp_prod_fun, (measure_sum_seq κ _).symm, lintegral_sum_measure]
lemma
probability_theory.kernel.comp_prod_fun_tsum_left
probability.kernel
src/probability/kernel/composition.lean
[ "probability.kernel.measurable_integral" ]
[]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
comp_prod_fun_eq_tsum (κ : kernel α β) [is_s_finite_kernel κ] (η : kernel (α × β) γ) [is_s_finite_kernel η] (a : α) (hs : measurable_set s) : comp_prod_fun κ η a s = ∑' n m, comp_prod_fun (seq κ n) (seq η m) a s
by simp_rw [comp_prod_fun_tsum_left κ η a s, comp_prod_fun_tsum_right _ η a hs]
lemma
probability_theory.kernel.comp_prod_fun_eq_tsum
probability.kernel
src/probability/kernel/composition.lean
[ "probability.kernel.measurable_integral" ]
[ "measurable_set" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
measurable_comp_prod_fun_of_finite (κ : kernel α β) [is_finite_kernel κ] (η : kernel (α × β) γ) [is_finite_kernel η] (hs : measurable_set s) : measurable (λ a, comp_prod_fun κ η a s)
begin simp only [comp_prod_fun], have h_meas : measurable (function.uncurry (λ a b, η (a, b) {c : γ | (b, c) ∈ s})), { have : function.uncurry (λ a b, η (a, b) {c : γ | (b, c) ∈ s}) = λ p, η p {c : γ | (p.2, c) ∈ s}, { ext1 p, have hp_eq_mk : p = (p.fst, p.snd) := prod.mk.eta.symm, rw [hp_eq...
lemma
probability_theory.kernel.measurable_comp_prod_fun_of_finite
probability.kernel
src/probability/kernel/composition.lean
[ "probability.kernel.measurable_integral" ]
[ "measurable", "measurable_set", "measurable_snd" ]
Auxiliary lemma for `measurable_comp_prod_fun`.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
measurable_comp_prod_fun (κ : kernel α β) [is_s_finite_kernel κ] (η : kernel (α × β) γ) [is_s_finite_kernel η] (hs : measurable_set s) : measurable (λ a, comp_prod_fun κ η a s)
begin simp_rw comp_prod_fun_tsum_right κ η _ hs, refine measurable.ennreal_tsum (λ n, _), simp only [comp_prod_fun], have h_meas : measurable (function.uncurry (λ a b, seq η n (a, b) {c : γ | (b, c) ∈ s})), { have : function.uncurry (λ a b, seq η n (a, b) {c : γ | (b, c) ∈ s}) = λ p, seq η n p {c : γ | ...
lemma
probability_theory.kernel.measurable_comp_prod_fun
probability.kernel
src/probability/kernel/composition.lean
[ "probability.kernel.measurable_integral" ]
[ "measurable", "measurable.ennreal_tsum", "measurable_set", "measurable_snd" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
comp_prod (κ : kernel α β) [is_s_finite_kernel κ] (η : kernel (α × β) γ) [is_s_finite_kernel η] : kernel α (β × γ)
{ val := λ a, measure.of_measurable (λ s hs, comp_prod_fun κ η a s) (comp_prod_fun_empty κ η a) (comp_prod_fun_Union κ η a), property := begin refine measure.measurable_of_measurable_coe _ (λ s hs, _), have : (λ a, measure.of_measurable (λ s hs, comp_prod_fun κ η a s) (comp_prod_fun_empty κ η a) ...
def
probability_theory.kernel.comp_prod
probability.kernel
src/probability/kernel/composition.lean
[ "probability.kernel.measurable_integral" ]
[]
Composition-Product of kernels. It verifies `∫⁻ bc, f bc ∂(comp_prod κ η a) = ∫⁻ b, ∫⁻ c, f (b, c) ∂(η (a, b)) ∂(κ a)` (see `lintegral_comp_prod`).
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
comp_prod_apply_eq_comp_prod_fun (κ : kernel α β) [is_s_finite_kernel κ] (η : kernel (α × β) γ) [is_s_finite_kernel η] (a : α) (hs : measurable_set s) : (κ ⊗ₖ η) a s = comp_prod_fun κ η a s
begin rw [comp_prod], change measure.of_measurable (λ s hs, comp_prod_fun κ η a s) (comp_prod_fun_empty κ η a) (comp_prod_fun_Union κ η a) s = ∫⁻ b, η (a, b) {c | (b, c) ∈ s} ∂(κ a), rw measure.of_measurable_apply _ hs, refl, end
lemma
probability_theory.kernel.comp_prod_apply_eq_comp_prod_fun
probability.kernel
src/probability/kernel/composition.lean
[ "probability.kernel.measurable_integral" ]
[ "measurable_set" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
comp_prod_apply (κ : kernel α β) [is_s_finite_kernel κ] (η : kernel (α × β) γ) [is_s_finite_kernel η] (a : α) (hs : measurable_set s) : (κ ⊗ₖ η) a s = ∫⁻ b, η (a, b) {c | (b, c) ∈ s} ∂(κ a)
comp_prod_apply_eq_comp_prod_fun κ η a hs
lemma
probability_theory.kernel.comp_prod_apply
probability.kernel
src/probability/kernel/composition.lean
[ "probability.kernel.measurable_integral" ]
[ "measurable_set" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
le_comp_prod_apply (κ : kernel α β) [is_s_finite_kernel κ] (η : kernel (α × β) γ) [is_s_finite_kernel η] (a : α) (s : set (β × γ)) : ∫⁻ b, η (a, b) {c | (b, c) ∈ s} ∂(κ a) ≤ (κ ⊗ₖ η) a s
calc ∫⁻ b, η (a, b) {c | (b, c) ∈ s} ∂(κ a) ≤ ∫⁻ b, η (a, b) {c | (b, c) ∈ (to_measurable ((κ ⊗ₖ η) a) s)} ∂(κ a) : lintegral_mono (λ b, measure_mono (λ _ h_mem, subset_to_measurable _ _ h_mem)) ... = (κ ⊗ₖ η) a (to_measurable ((κ ⊗ₖ η) a) s) : (kernel.comp_prod_apply_eq_comp_prod_fun κ η a (measurable_...
lemma
probability_theory.kernel.le_comp_prod_apply
probability.kernel
src/probability/kernel/composition.lean
[ "probability.kernel.measurable_integral" ]
[]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
ae_kernel_lt_top (a : α) (h2s : (κ ⊗ₖ η) a s ≠ ∞) : ∀ᵐ b ∂(κ a), η (a, b) (prod.mk b ⁻¹' s) < ∞
begin let t := to_measurable ((κ ⊗ₖ η) a) s, have : ∀ (b : β), η (a, b) (prod.mk b ⁻¹' s) ≤ η (a, b) (prod.mk b ⁻¹' t), { exact λ b, measure_mono (set.preimage_mono (subset_to_measurable _ _)), }, have ht : measurable_set t := measurable_set_to_measurable _ _, have h2t : (κ ⊗ₖ η) a t ≠ ∞, by rwa measure_to_me...
lemma
probability_theory.kernel.ae_kernel_lt_top
probability.kernel
src/probability/kernel/composition.lean
[ "probability.kernel.measurable_integral" ]
[ "measurable_set", "set.preimage_mono" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
comp_prod_null (a : α) (hs : measurable_set s) : (κ ⊗ₖ η) a s = 0 ↔ (λ b, η (a, b) (prod.mk b ⁻¹' s)) =ᵐ[κ a] 0
begin rw [kernel.comp_prod_apply _ _ _ hs, lintegral_eq_zero_iff], { refl, }, { exact kernel.measurable_kernel_prod_mk_left' hs a, }, end
lemma
probability_theory.kernel.comp_prod_null
probability.kernel
src/probability/kernel/composition.lean
[ "probability.kernel.measurable_integral" ]
[ "measurable_set" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
ae_null_of_comp_prod_null (h : (κ ⊗ₖ η) a s = 0) : (λ b, η (a, b) (prod.mk b ⁻¹' s)) =ᵐ[κ a] 0
begin obtain ⟨t, hst, mt, ht⟩ := exists_measurable_superset_of_null h, simp_rw [comp_prod_null a mt] at ht, rw [filter.eventually_le_antisymm_iff], exact ⟨filter.eventually_le.trans_eq (filter.eventually_of_forall $ λ x, (measure_mono (set.preimage_mono hst) : _)) ht, filter.eventually_of_forall $ λ x, ...
lemma
probability_theory.kernel.ae_null_of_comp_prod_null
probability.kernel
src/probability/kernel/composition.lean
[ "probability.kernel.measurable_integral" ]
[ "filter.eventually_le_antisymm_iff", "filter.eventually_of_forall", "set.preimage_mono" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
ae_ae_of_ae_comp_prod {p : β × γ → Prop} (h : ∀ᵐ bc ∂((κ ⊗ₖ η) a), p bc) : ∀ᵐ b ∂(κ a), ∀ᵐ c ∂(η (a, b)), p (b, c)
ae_null_of_comp_prod_null h
lemma
probability_theory.kernel.ae_ae_of_ae_comp_prod
probability.kernel
src/probability/kernel/composition.lean
[ "probability.kernel.measurable_integral" ]
[]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
comp_prod_restrict {s : set β} {t : set γ} (hs : measurable_set s) (ht : measurable_set t) : (kernel.restrict κ hs) ⊗ₖ (kernel.restrict η ht) = kernel.restrict (κ ⊗ₖ η) (hs.prod ht)
begin ext a u hu : 2, rw [comp_prod_apply _ _ _ hu, restrict_apply' _ _ _ hu, comp_prod_apply _ _ _ (hu.inter (hs.prod ht))], simp only [kernel.restrict_apply, measure.restrict_apply' ht, set.mem_inter_iff, set.prod_mk_mem_set_prod_eq], have : ∀ b, η (a, b) {c : γ | (b, c) ∈ u ∧ b ∈ s ∧ c ∈ t} = s.i...
lemma
probability_theory.kernel.comp_prod_restrict
probability.kernel
src/probability/kernel/composition.lean
[ "probability.kernel.measurable_integral" ]
[ "measurable_set", "set.mem_inter_iff", "set.prod_mk_mem_set_prod_eq", "set.set_of_false" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
comp_prod_restrict_left {s : set β} (hs : measurable_set s) : (kernel.restrict κ hs) ⊗ₖ η = kernel.restrict (κ ⊗ₖ η) (hs.prod measurable_set.univ)
by { rw ← comp_prod_restrict, congr, exact kernel.restrict_univ.symm, }
lemma
probability_theory.kernel.comp_prod_restrict_left
probability.kernel
src/probability/kernel/composition.lean
[ "probability.kernel.measurable_integral" ]
[ "measurable_set", "measurable_set.univ" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
comp_prod_restrict_right {t : set γ} (ht : measurable_set t) : κ ⊗ₖ (kernel.restrict η ht) = kernel.restrict (κ ⊗ₖ η) (measurable_set.univ.prod ht)
by { rw ← comp_prod_restrict, congr, exact kernel.restrict_univ.symm, }
lemma
probability_theory.kernel.comp_prod_restrict_right
probability.kernel
src/probability/kernel/composition.lean
[ "probability.kernel.measurable_integral" ]
[ "measurable_set" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
lintegral_comp_prod' (κ : kernel α β) [is_s_finite_kernel κ] (η : kernel (α × β) γ) [is_s_finite_kernel η] (a : α) {f : β → γ → ℝ≥0∞} (hf : measurable (function.uncurry f)) : ∫⁻ bc, f bc.1 bc.2 ∂((κ ⊗ₖ η) a) = ∫⁻ b, ∫⁻ c, f b c ∂(η (a, b)) ∂(κ a)
begin let F : ℕ → simple_func (β × γ) ℝ≥0∞ := simple_func.eapprox (function.uncurry f), have h : ∀ a, (⨆ n, F n a) = function.uncurry f a, from simple_func.supr_eapprox_apply (function.uncurry f) hf, simp only [prod.forall, function.uncurry_apply_pair] at h, simp_rw [← h, prod.mk.eta], have h_mono : monot...
theorem
probability_theory.kernel.lintegral_comp_prod'
probability.kernel
src/probability/kernel/composition.lean
[ "probability.kernel.measurable_integral" ]
[ "measurable", "measurable.comp", "measurable.lintegral_kernel_prod_right", "measurable_prod_mk_left", "measurable_snd", "monotone" ]
Lebesgue integral against the composition-product of two kernels.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
lintegral_comp_prod (κ : kernel α β) [is_s_finite_kernel κ] (η : kernel (α × β) γ) [is_s_finite_kernel η] (a : α) {f : β × γ → ℝ≥0∞} (hf : measurable f) : ∫⁻ bc, f bc ∂((κ ⊗ₖ η) a) = ∫⁻ b, ∫⁻ c, f (b, c) ∂(η (a, b)) ∂(κ a)
begin let g := function.curry f, change ∫⁻ bc, f bc ∂((κ ⊗ₖ η) a) = ∫⁻ b, ∫⁻ c, g b c ∂(η (a, b)) ∂(κ a), rw ← lintegral_comp_prod', { simp_rw [g, function.curry_apply, prod.mk.eta], }, { simp_rw [g, function.uncurry_curry], exact hf, }, end
theorem
probability_theory.kernel.lintegral_comp_prod
probability.kernel
src/probability/kernel/composition.lean
[ "probability.kernel.measurable_integral" ]
[ "measurable" ]
Lebesgue integral against the composition-product of two kernels.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
lintegral_comp_prod₀ (κ : kernel α β) [is_s_finite_kernel κ] (η : kernel (α × β) γ) [is_s_finite_kernel η] (a : α) {f : β × γ → ℝ≥0∞} (hf : ae_measurable f ((κ ⊗ₖ η) a)) : ∫⁻ z, f z ∂((κ ⊗ₖ η) a) = ∫⁻ x, ∫⁻ y, f (x, y) ∂(η (a, x)) ∂(κ a)
begin have A : ∫⁻ z, f z ∂((κ ⊗ₖ η) a) = ∫⁻ z, hf.mk f z ∂((κ ⊗ₖ η) a) := lintegral_congr_ae hf.ae_eq_mk, have B : ∫⁻ x, ∫⁻ y, f (x, y) ∂(η (a, x)) ∂(κ a) = ∫⁻ x, ∫⁻ y, hf.mk f (x, y) ∂(η (a, x)) ∂(κ a), { apply lintegral_congr_ae, filter_upwards [ae_ae_of_ae_comp_prod hf.ae_eq_mk] with _ ha using lintegr...
lemma
probability_theory.kernel.lintegral_comp_prod₀
probability.kernel
src/probability/kernel/composition.lean
[ "probability.kernel.measurable_integral" ]
[ "ae_measurable" ]
Lebesgue integral against the composition-product of two kernels.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
set_lintegral_comp_prod (κ : kernel α β) [is_s_finite_kernel κ] (η : kernel (α × β) γ) [is_s_finite_kernel η] (a : α) {f : β × γ → ℝ≥0∞} (hf : measurable f) {s : set β} {t : set γ} (hs : measurable_set s) (ht : measurable_set t) : ∫⁻ z in s ×ˢ t, f z ∂((κ ⊗ₖ η) a) = ∫⁻ x in s, ∫⁻ y in t, f (x, y) ∂(η (a, x)) ∂(κ ...
by simp_rw [← kernel.restrict_apply (κ ⊗ₖ η) (hs.prod ht), ← comp_prod_restrict, lintegral_comp_prod _ _ _ hf, kernel.restrict_apply]
lemma
probability_theory.kernel.set_lintegral_comp_prod
probability.kernel
src/probability/kernel/composition.lean
[ "probability.kernel.measurable_integral" ]
[ "measurable", "measurable_set" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
set_lintegral_comp_prod_univ_right (κ : kernel α β) [is_s_finite_kernel κ] (η : kernel (α × β) γ) [is_s_finite_kernel η] (a : α) {f : β × γ → ℝ≥0∞} (hf : measurable f) {s : set β} (hs : measurable_set s) : ∫⁻ z in s ×ˢ set.univ, f z ∂((κ ⊗ₖ η) a) = ∫⁻ x in s, ∫⁻ y, f (x, y) ∂(η (a, x)) ∂(κ a)
by simp_rw [set_lintegral_comp_prod κ η a hf hs measurable_set.univ, measure.restrict_univ]
lemma
probability_theory.kernel.set_lintegral_comp_prod_univ_right
probability.kernel
src/probability/kernel/composition.lean
[ "probability.kernel.measurable_integral" ]
[ "measurable", "measurable_set", "measurable_set.univ" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
set_lintegral_comp_prod_univ_left (κ : kernel α β) [is_s_finite_kernel κ] (η : kernel (α × β) γ) [is_s_finite_kernel η] (a : α) {f : β × γ → ℝ≥0∞} (hf : measurable f) {t : set γ} (ht : measurable_set t) : ∫⁻ z in set.univ ×ˢ t, f z ∂((κ ⊗ₖ η) a) = ∫⁻ x, ∫⁻ y in t, f (x, y) ∂(η (a, x)) ∂(κ a)
by simp_rw [set_lintegral_comp_prod κ η a hf measurable_set.univ ht, measure.restrict_univ]
lemma
probability_theory.kernel.set_lintegral_comp_prod_univ_left
probability.kernel
src/probability/kernel/composition.lean
[ "probability.kernel.measurable_integral" ]
[ "measurable", "measurable_set", "measurable_set.univ" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
comp_prod_eq_tsum_comp_prod (κ : kernel α β) [is_s_finite_kernel κ] (η : kernel (α × β) γ) [is_s_finite_kernel η] (a : α) (hs : measurable_set s) : (κ ⊗ₖ η) a s = ∑' (n m : ℕ), (seq κ n ⊗ₖ seq η m) a s
by { simp_rw comp_prod_apply_eq_comp_prod_fun _ _ _ hs, exact comp_prod_fun_eq_tsum κ η a hs, }
lemma
probability_theory.kernel.comp_prod_eq_tsum_comp_prod
probability.kernel
src/probability/kernel/composition.lean
[ "probability.kernel.measurable_integral" ]
[ "measurable_set" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
comp_prod_eq_sum_comp_prod (κ : kernel α β) [is_s_finite_kernel κ] (η : kernel (α × β) γ) [is_s_finite_kernel η] : κ ⊗ₖ η = kernel.sum (λ n, kernel.sum (λ m, seq κ n ⊗ₖ seq η m))
by { ext a s hs : 2, simp_rw [kernel.sum_apply' _ a hs], rw comp_prod_eq_tsum_comp_prod κ η a hs, }
lemma
probability_theory.kernel.comp_prod_eq_sum_comp_prod
probability.kernel
src/probability/kernel/composition.lean
[ "probability.kernel.measurable_integral" ]
[]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
comp_prod_eq_sum_comp_prod_left (κ : kernel α β) [is_s_finite_kernel κ] (η : kernel (α × β) γ) [is_s_finite_kernel η] : κ ⊗ₖ η = kernel.sum (λ n, seq κ n ⊗ₖ η)
begin rw comp_prod_eq_sum_comp_prod, congr' with n a s hs, simp_rw [kernel.sum_apply' _ _ hs, comp_prod_apply_eq_comp_prod_fun _ _ _ hs, comp_prod_fun_tsum_right _ η a hs], end
lemma
probability_theory.kernel.comp_prod_eq_sum_comp_prod_left
probability.kernel
src/probability/kernel/composition.lean
[ "probability.kernel.measurable_integral" ]
[]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
comp_prod_eq_sum_comp_prod_right (κ : kernel α β) [is_s_finite_kernel κ] (η : kernel (α × β) γ) [is_s_finite_kernel η] : κ ⊗ₖ η = kernel.sum (λ n, κ ⊗ₖ seq η n)
begin rw comp_prod_eq_sum_comp_prod, simp_rw comp_prod_eq_sum_comp_prod_left κ _, rw kernel.sum_comm, end
lemma
probability_theory.kernel.comp_prod_eq_sum_comp_prod_right
probability.kernel
src/probability/kernel/composition.lean
[ "probability.kernel.measurable_integral" ]
[]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
is_markov_kernel.comp_prod (κ : kernel α β) [is_markov_kernel κ] (η : kernel (α × β) γ) [is_markov_kernel η] : is_markov_kernel (κ ⊗ₖ η)
⟨λ a, ⟨begin rw comp_prod_apply κ η a measurable_set.univ, simp only [set.mem_univ, set.set_of_true, measure_univ, lintegral_one], end⟩⟩
instance
probability_theory.kernel.is_markov_kernel.comp_prod
probability.kernel
src/probability/kernel/composition.lean
[ "probability.kernel.measurable_integral" ]
[ "measurable_set.univ", "set.mem_univ", "set.set_of_true" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
comp_prod_apply_univ_le (κ : kernel α β) [is_s_finite_kernel κ] (η : kernel (α × β) γ) [is_finite_kernel η] (a : α) : (κ ⊗ₖ η) a set.univ ≤ (κ a set.univ) * (is_finite_kernel.bound η)
begin rw comp_prod_apply κ η a measurable_set.univ, simp only [set.mem_univ, set.set_of_true], let Cη := is_finite_kernel.bound η, calc ∫⁻ b, η (a, b) set.univ ∂(κ a) ≤ ∫⁻ b, Cη ∂(κ a) : lintegral_mono (λ b, measure_le_bound η (a, b) set.univ) ... = Cη * κ a set.univ : measure_theory.lintegral_const Cη ...
lemma
probability_theory.kernel.comp_prod_apply_univ_le
probability.kernel
src/probability/kernel/composition.lean
[ "probability.kernel.measurable_integral" ]
[ "measurable_set.univ", "measure_theory.lintegral_const", "mul_comm", "set.mem_univ", "set.set_of_true" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
is_finite_kernel.comp_prod (κ : kernel α β) [is_finite_kernel κ] (η : kernel (α × β) γ) [is_finite_kernel η] : is_finite_kernel (κ ⊗ₖ η)
⟨⟨is_finite_kernel.bound κ * is_finite_kernel.bound η, ennreal.mul_lt_top (is_finite_kernel.bound_ne_top κ) (is_finite_kernel.bound_ne_top η), λ a, calc (κ ⊗ₖ η) a set.univ ≤ (κ a set.univ) * is_finite_kernel.bound η : comp_prod_apply_univ_le κ η a ... ≤ is_finite_kernel.bound κ * is_finite_kernel.bound η : ...
instance
probability_theory.kernel.is_finite_kernel.comp_prod
probability.kernel
src/probability/kernel/composition.lean
[ "probability.kernel.measurable_integral" ]
[ "ennreal.mul_lt_top", "le_rfl", "mul_le_mul" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
is_s_finite_kernel.comp_prod (κ : kernel α β) [is_s_finite_kernel κ] (η : kernel (α × β) γ) [is_s_finite_kernel η] : is_s_finite_kernel (κ ⊗ₖ η)
begin rw comp_prod_eq_sum_comp_prod, exact kernel.is_s_finite_kernel_sum (λ n, kernel.is_s_finite_kernel_sum infer_instance), end
instance
probability_theory.kernel.is_s_finite_kernel.comp_prod
probability.kernel
src/probability/kernel/composition.lean
[ "probability.kernel.measurable_integral" ]
[]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
map (κ : kernel α β) (f : β → γ) (hf : measurable f) : kernel α γ
{ val := λ a, (κ a).map f, property := (measure.measurable_map _ hf).comp (kernel.measurable κ) }
def
probability_theory.kernel.map
probability.kernel
src/probability/kernel/composition.lean
[ "probability.kernel.measurable_integral" ]
[ "measurable" ]
The pushforward of a kernel along a measurable function. We include measurability in the assumptions instead of using junk values to make sure that typeclass inference can infer that the `map` of a Markov kernel is again a Markov kernel.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
map_apply (κ : kernel α β) (hf : measurable f) (a : α) : map κ f hf a = (κ a).map f
rfl
lemma
probability_theory.kernel.map_apply
probability.kernel
src/probability/kernel/composition.lean
[ "probability.kernel.measurable_integral" ]
[ "measurable" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
map_apply' (κ : kernel α β) (hf : measurable f) (a : α) {s : set γ} (hs : measurable_set s) : map κ f hf a s = κ a (f ⁻¹' s)
by rw [map_apply, measure.map_apply hf hs]
lemma
probability_theory.kernel.map_apply'
probability.kernel
src/probability/kernel/composition.lean
[ "probability.kernel.measurable_integral" ]
[ "measurable", "measurable_set" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
lintegral_map (κ : kernel α β) (hf : measurable f) (a : α) {g' : γ → ℝ≥0∞} (hg : measurable g') : ∫⁻ b, g' b ∂(map κ f hf a) = ∫⁻ a, g' (f a) ∂(κ a)
by rw [map_apply _ hf, lintegral_map hg hf]
lemma
probability_theory.kernel.lintegral_map
probability.kernel
src/probability/kernel/composition.lean
[ "probability.kernel.measurable_integral" ]
[ "measurable" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
sum_map_seq (κ : kernel α β) [is_s_finite_kernel κ] (hf : measurable f) : kernel.sum (λ n, map (seq κ n) f hf) = map κ f hf
begin ext a s hs : 2, rw [kernel.sum_apply, map_apply' κ hf a hs, measure.sum_apply _ hs, ← measure_sum_seq κ, measure.sum_apply _ (hf hs)], simp_rw map_apply' _ hf _ hs, end
lemma
probability_theory.kernel.sum_map_seq
probability.kernel
src/probability/kernel/composition.lean
[ "probability.kernel.measurable_integral" ]
[ "measurable" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
is_markov_kernel.map (κ : kernel α β) [is_markov_kernel κ] (hf : measurable f) : is_markov_kernel (map κ f hf)
⟨λ a, ⟨by rw [map_apply' κ hf a measurable_set.univ, set.preimage_univ, measure_univ]⟩⟩
instance
probability_theory.kernel.is_markov_kernel.map
probability.kernel
src/probability/kernel/composition.lean
[ "probability.kernel.measurable_integral" ]
[ "measurable", "measurable_set.univ", "set.preimage_univ" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
is_finite_kernel.map (κ : kernel α β) [is_finite_kernel κ] (hf : measurable f) : is_finite_kernel (map κ f hf)
begin refine ⟨⟨is_finite_kernel.bound κ, is_finite_kernel.bound_lt_top κ, λ a, _⟩⟩, rw map_apply' κ hf a measurable_set.univ, exact measure_le_bound κ a _, end
instance
probability_theory.kernel.is_finite_kernel.map
probability.kernel
src/probability/kernel/composition.lean
[ "probability.kernel.measurable_integral" ]
[ "measurable", "measurable_set.univ" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
is_s_finite_kernel.map (κ : kernel α β) [is_s_finite_kernel κ] (hf : measurable f) : is_s_finite_kernel (map κ f hf)
⟨⟨λ n, map (seq κ n) f hf, infer_instance, (sum_map_seq κ hf).symm⟩⟩
instance
probability_theory.kernel.is_s_finite_kernel.map
probability.kernel
src/probability/kernel/composition.lean
[ "probability.kernel.measurable_integral" ]
[ "measurable" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
comap (κ : kernel α β) (g : γ → α) (hg : measurable g) : kernel γ β
{ val := λ a, κ (g a), property := (kernel.measurable κ).comp hg }
def
probability_theory.kernel.comap
probability.kernel
src/probability/kernel/composition.lean
[ "probability.kernel.measurable_integral" ]
[ "measurable" ]
Pullback of a kernel, such that for each set s `comap κ g hg c s = κ (g c) s`. We include measurability in the assumptions instead of using junk values to make sure that typeclass inference can infer that the `comap` of a Markov kernel is again a Markov kernel.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
comap_apply (κ : kernel α β) (hg : measurable g) (c : γ) : comap κ g hg c = κ (g c)
rfl
lemma
probability_theory.kernel.comap_apply
probability.kernel
src/probability/kernel/composition.lean
[ "probability.kernel.measurable_integral" ]
[ "measurable" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
comap_apply' (κ : kernel α β) (hg : measurable g) (c : γ) (s : set β) : comap κ g hg c s = κ (g c) s
rfl
lemma
probability_theory.kernel.comap_apply'
probability.kernel
src/probability/kernel/composition.lean
[ "probability.kernel.measurable_integral" ]
[ "measurable" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
lintegral_comap (κ : kernel α β) (hg : measurable g) (c : γ) (g' : β → ℝ≥0∞) : ∫⁻ b, g' b ∂(comap κ g hg c) = ∫⁻ b, g' b ∂(κ (g c))
rfl
lemma
probability_theory.kernel.lintegral_comap
probability.kernel
src/probability/kernel/composition.lean
[ "probability.kernel.measurable_integral" ]
[ "measurable" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
sum_comap_seq (κ : kernel α β) [is_s_finite_kernel κ] (hg : measurable g) : kernel.sum (λ n, comap (seq κ n) g hg) = comap κ g hg
begin ext a s hs : 2, rw [kernel.sum_apply, comap_apply' κ hg a s, measure.sum_apply _ hs, ← measure_sum_seq κ, measure.sum_apply _ hs], simp_rw comap_apply' _ hg _ s, end
lemma
probability_theory.kernel.sum_comap_seq
probability.kernel
src/probability/kernel/composition.lean
[ "probability.kernel.measurable_integral" ]
[ "measurable" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
is_markov_kernel.comap (κ : kernel α β) [is_markov_kernel κ] (hg : measurable g) : is_markov_kernel (comap κ g hg)
⟨λ a, ⟨by rw [comap_apply' κ hg a set.univ, measure_univ]⟩⟩
instance
probability_theory.kernel.is_markov_kernel.comap
probability.kernel
src/probability/kernel/composition.lean
[ "probability.kernel.measurable_integral" ]
[ "measurable" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
is_finite_kernel.comap (κ : kernel α β) [is_finite_kernel κ] (hg : measurable g) : is_finite_kernel (comap κ g hg)
begin refine ⟨⟨is_finite_kernel.bound κ, is_finite_kernel.bound_lt_top κ, λ a, _⟩⟩, rw comap_apply' κ hg a set.univ, exact measure_le_bound κ _ _, end
instance
probability_theory.kernel.is_finite_kernel.comap
probability.kernel
src/probability/kernel/composition.lean
[ "probability.kernel.measurable_integral" ]
[ "measurable" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
is_s_finite_kernel.comap (κ : kernel α β) [is_s_finite_kernel κ] (hg : measurable g) : is_s_finite_kernel (comap κ g hg)
⟨⟨λ n, comap (seq κ n) g hg, infer_instance, (sum_comap_seq κ hg).symm⟩⟩
instance
probability_theory.kernel.is_s_finite_kernel.comap
probability.kernel
src/probability/kernel/composition.lean
[ "probability.kernel.measurable_integral" ]
[ "measurable" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
prod_mk_left (γ : Type*) [measurable_space γ] (κ : kernel α β) : kernel (γ × α) β
comap κ prod.snd measurable_snd
def
probability_theory.kernel.prod_mk_left
probability.kernel
src/probability/kernel/composition.lean
[ "probability.kernel.measurable_integral" ]
[ "measurable_snd", "measurable_space" ]
Define a `kernel (γ × α) β` from a `kernel α β` by taking the comap of the projection.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
prod_mk_left_apply (κ : kernel α β) (ca : γ × α) : prod_mk_left γ κ ca = κ ca.snd
rfl
lemma
probability_theory.kernel.prod_mk_left_apply
probability.kernel
src/probability/kernel/composition.lean
[ "probability.kernel.measurable_integral" ]
[]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
prod_mk_left_apply' (κ : kernel α β) (ca : γ × α) (s : set β) : prod_mk_left γ κ ca s = κ ca.snd s
rfl
lemma
probability_theory.kernel.prod_mk_left_apply'
probability.kernel
src/probability/kernel/composition.lean
[ "probability.kernel.measurable_integral" ]
[]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
lintegral_prod_mk_left (κ : kernel α β) (ca : γ × α) (g : β → ℝ≥0∞) : ∫⁻ b, g b ∂(prod_mk_left γ κ ca) = ∫⁻ b, g b ∂(κ ca.snd)
rfl
lemma
probability_theory.kernel.lintegral_prod_mk_left
probability.kernel
src/probability/kernel/composition.lean
[ "probability.kernel.measurable_integral" ]
[]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
is_markov_kernel.prod_mk_left (κ : kernel α β) [is_markov_kernel κ] : is_markov_kernel (prod_mk_left γ κ)
by { rw prod_mk_left, apply_instance, }
instance
probability_theory.kernel.is_markov_kernel.prod_mk_left
probability.kernel
src/probability/kernel/composition.lean
[ "probability.kernel.measurable_integral" ]
[]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
is_finite_kernel.prod_mk_left (κ : kernel α β) [is_finite_kernel κ] : is_finite_kernel (prod_mk_left γ κ)
by { rw prod_mk_left, apply_instance, }
instance
probability_theory.kernel.is_finite_kernel.prod_mk_left
probability.kernel
src/probability/kernel/composition.lean
[ "probability.kernel.measurable_integral" ]
[]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
is_s_finite_kernel.prod_mk_left (κ : kernel α β) [is_s_finite_kernel κ] : is_s_finite_kernel (prod_mk_left γ κ)
by { rw prod_mk_left, apply_instance, }
instance
probability_theory.kernel.is_s_finite_kernel.prod_mk_left
probability.kernel
src/probability/kernel/composition.lean
[ "probability.kernel.measurable_integral" ]
[]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
swap_left (κ : kernel (α × β) γ) : kernel (β × α) γ
comap κ prod.swap measurable_swap
def
probability_theory.kernel.swap_left
probability.kernel
src/probability/kernel/composition.lean
[ "probability.kernel.measurable_integral" ]
[ "measurable_swap", "prod.swap" ]
Define a `kernel (β × α) γ` from a `kernel (α × β) γ` by taking the comap of `prod.swap`.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
swap_left_apply (κ : kernel (α × β) γ) (a : β × α) : swap_left κ a = (κ a.swap)
rfl
lemma
probability_theory.kernel.swap_left_apply
probability.kernel
src/probability/kernel/composition.lean
[ "probability.kernel.measurable_integral" ]
[]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
swap_left_apply' (κ : kernel (α × β) γ) (a : β × α) (s : set γ) : swap_left κ a s = κ a.swap s
rfl
lemma
probability_theory.kernel.swap_left_apply'
probability.kernel
src/probability/kernel/composition.lean
[ "probability.kernel.measurable_integral" ]
[]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
lintegral_swap_left (κ : kernel (α × β) γ) (a : β × α) (g : γ → ℝ≥0∞) : ∫⁻ c, g c ∂(swap_left κ a) = ∫⁻ c, g c ∂(κ a.swap)
by { rw [swap_left, lintegral_comap _ measurable_swap a], }
lemma
probability_theory.kernel.lintegral_swap_left
probability.kernel
src/probability/kernel/composition.lean
[ "probability.kernel.measurable_integral" ]
[ "measurable_swap" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
is_markov_kernel.swap_left (κ : kernel (α × β) γ) [is_markov_kernel κ] : is_markov_kernel (swap_left κ)
by { rw swap_left, apply_instance, }
instance
probability_theory.kernel.is_markov_kernel.swap_left
probability.kernel
src/probability/kernel/composition.lean
[ "probability.kernel.measurable_integral" ]
[]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
is_finite_kernel.swap_left (κ : kernel (α × β) γ) [is_finite_kernel κ] : is_finite_kernel (swap_left κ)
by { rw swap_left, apply_instance, }
instance
probability_theory.kernel.is_finite_kernel.swap_left
probability.kernel
src/probability/kernel/composition.lean
[ "probability.kernel.measurable_integral" ]
[]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
is_s_finite_kernel.swap_left (κ : kernel (α × β) γ) [is_s_finite_kernel κ] : is_s_finite_kernel (swap_left κ)
by { rw swap_left, apply_instance, }
instance
probability_theory.kernel.is_s_finite_kernel.swap_left
probability.kernel
src/probability/kernel/composition.lean
[ "probability.kernel.measurable_integral" ]
[]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
swap_right (κ : kernel α (β × γ)) : kernel α (γ × β)
map κ prod.swap measurable_swap
def
probability_theory.kernel.swap_right
probability.kernel
src/probability/kernel/composition.lean
[ "probability.kernel.measurable_integral" ]
[ "measurable_swap", "prod.swap", "swap_right" ]
Define a `kernel α (γ × β)` from a `kernel α (β × γ)` by taking the map of `prod.swap`.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
swap_right_apply (κ : kernel α (β × γ)) (a : α) : swap_right κ a = (κ a).map prod.swap
rfl
lemma
probability_theory.kernel.swap_right_apply
probability.kernel
src/probability/kernel/composition.lean
[ "probability.kernel.measurable_integral" ]
[ "prod.swap", "swap_right" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
swap_right_apply' (κ : kernel α (β × γ)) (a : α) {s : set (γ × β)} (hs : measurable_set s) : swap_right κ a s = κ a {p | p.swap ∈ s}
by { rw [swap_right_apply, measure.map_apply measurable_swap hs], refl, }
lemma
probability_theory.kernel.swap_right_apply'
probability.kernel
src/probability/kernel/composition.lean
[ "probability.kernel.measurable_integral" ]
[ "measurable_set", "measurable_swap", "swap_right" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
lintegral_swap_right (κ : kernel α (β × γ)) (a : α) {g : γ × β → ℝ≥0∞} (hg : measurable g) : ∫⁻ c, g c ∂(swap_right κ a) = ∫⁻ (bc : β × γ), g bc.swap ∂(κ a)
by rw [swap_right, lintegral_map _ measurable_swap a hg]
lemma
probability_theory.kernel.lintegral_swap_right
probability.kernel
src/probability/kernel/composition.lean
[ "probability.kernel.measurable_integral" ]
[ "measurable", "measurable_swap", "swap_right" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
is_markov_kernel.swap_right (κ : kernel α (β × γ)) [is_markov_kernel κ] : is_markov_kernel (swap_right κ)
by { rw swap_right, apply_instance, }
instance
probability_theory.kernel.is_markov_kernel.swap_right
probability.kernel
src/probability/kernel/composition.lean
[ "probability.kernel.measurable_integral" ]
[ "swap_right" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
is_finite_kernel.swap_right (κ : kernel α (β × γ)) [is_finite_kernel κ] : is_finite_kernel (swap_right κ)
by { rw swap_right, apply_instance, }
instance
probability_theory.kernel.is_finite_kernel.swap_right
probability.kernel
src/probability/kernel/composition.lean
[ "probability.kernel.measurable_integral" ]
[ "swap_right" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
is_s_finite_kernel.swap_right (κ : kernel α (β × γ)) [is_s_finite_kernel κ] : is_s_finite_kernel (swap_right κ)
by { rw swap_right, apply_instance, }
instance
probability_theory.kernel.is_s_finite_kernel.swap_right
probability.kernel
src/probability/kernel/composition.lean
[ "probability.kernel.measurable_integral" ]
[ "swap_right" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
fst (κ : kernel α (β × γ)) : kernel α β
map κ prod.fst measurable_fst
def
probability_theory.kernel.fst
probability.kernel
src/probability/kernel/composition.lean
[ "probability.kernel.measurable_integral" ]
[ "measurable_fst" ]
Define a `kernel α β` from a `kernel α (β × γ)` by taking the map of the first projection.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
fst_apply (κ : kernel α (β × γ)) (a : α) : fst κ a = (κ a).map prod.fst
rfl
lemma
probability_theory.kernel.fst_apply
probability.kernel
src/probability/kernel/composition.lean
[ "probability.kernel.measurable_integral" ]
[]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
fst_apply' (κ : kernel α (β × γ)) (a : α) {s : set β} (hs : measurable_set s) : fst κ a s = κ a {p | p.1 ∈ s}
by { rw [fst_apply, measure.map_apply measurable_fst hs], refl, }
lemma
probability_theory.kernel.fst_apply'
probability.kernel
src/probability/kernel/composition.lean
[ "probability.kernel.measurable_integral" ]
[ "measurable_fst", "measurable_set" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
lintegral_fst (κ : kernel α (β × γ)) (a : α) {g : β → ℝ≥0∞} (hg : measurable g) : ∫⁻ c, g c ∂(fst κ a) = ∫⁻ (bc : β × γ), g bc.fst ∂(κ a)
by rw [fst, lintegral_map _ measurable_fst a hg]
lemma
probability_theory.kernel.lintegral_fst
probability.kernel
src/probability/kernel/composition.lean
[ "probability.kernel.measurable_integral" ]
[ "measurable", "measurable_fst" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
is_markov_kernel.fst (κ : kernel α (β × γ)) [is_markov_kernel κ] : is_markov_kernel (fst κ)
by { rw fst, apply_instance, }
instance
probability_theory.kernel.is_markov_kernel.fst
probability.kernel
src/probability/kernel/composition.lean
[ "probability.kernel.measurable_integral" ]
[]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
is_finite_kernel.fst (κ : kernel α (β × γ)) [is_finite_kernel κ] : is_finite_kernel (fst κ)
by { rw fst, apply_instance, }
instance
probability_theory.kernel.is_finite_kernel.fst
probability.kernel
src/probability/kernel/composition.lean
[ "probability.kernel.measurable_integral" ]
[]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
is_s_finite_kernel.fst (κ : kernel α (β × γ)) [is_s_finite_kernel κ] : is_s_finite_kernel (fst κ)
by { rw fst, apply_instance, }
instance
probability_theory.kernel.is_s_finite_kernel.fst
probability.kernel
src/probability/kernel/composition.lean
[ "probability.kernel.measurable_integral" ]
[]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
snd (κ : kernel α (β × γ)) : kernel α γ
map κ prod.snd measurable_snd
def
probability_theory.kernel.snd
probability.kernel
src/probability/kernel/composition.lean
[ "probability.kernel.measurable_integral" ]
[ "measurable_snd" ]
Define a `kernel α γ` from a `kernel α (β × γ)` by taking the map of the second projection.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
snd_apply (κ : kernel α (β × γ)) (a : α) : snd κ a = (κ a).map prod.snd
rfl
lemma
probability_theory.kernel.snd_apply
probability.kernel
src/probability/kernel/composition.lean
[ "probability.kernel.measurable_integral" ]
[]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
snd_apply' (κ : kernel α (β × γ)) (a : α) {s : set γ} (hs : measurable_set s) : snd κ a s = κ a {p | p.2 ∈ s}
by { rw [snd_apply, measure.map_apply measurable_snd hs], refl, }
lemma
probability_theory.kernel.snd_apply'
probability.kernel
src/probability/kernel/composition.lean
[ "probability.kernel.measurable_integral" ]
[ "measurable_set", "measurable_snd" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
lintegral_snd (κ : kernel α (β × γ)) (a : α) {g : γ → ℝ≥0∞} (hg : measurable g) : ∫⁻ c, g c ∂(snd κ a) = ∫⁻ (bc : β × γ), g bc.snd ∂(κ a)
by rw [snd, lintegral_map _ measurable_snd a hg]
lemma
probability_theory.kernel.lintegral_snd
probability.kernel
src/probability/kernel/composition.lean
[ "probability.kernel.measurable_integral" ]
[ "measurable", "measurable_snd" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
is_markov_kernel.snd (κ : kernel α (β × γ)) [is_markov_kernel κ] : is_markov_kernel (snd κ)
by { rw snd, apply_instance, }
instance
probability_theory.kernel.is_markov_kernel.snd
probability.kernel
src/probability/kernel/composition.lean
[ "probability.kernel.measurable_integral" ]
[]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
is_finite_kernel.snd (κ : kernel α (β × γ)) [is_finite_kernel κ] : is_finite_kernel (snd κ)
by { rw snd, apply_instance, }
instance
probability_theory.kernel.is_finite_kernel.snd
probability.kernel
src/probability/kernel/composition.lean
[ "probability.kernel.measurable_integral" ]
[]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
is_s_finite_kernel.snd (κ : kernel α (β × γ)) [is_s_finite_kernel κ] : is_s_finite_kernel (snd κ)
by { rw snd, apply_instance, }
instance
probability_theory.kernel.is_s_finite_kernel.snd
probability.kernel
src/probability/kernel/composition.lean
[ "probability.kernel.measurable_integral" ]
[]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
comp (η : kernel β γ) (κ : kernel α β) : kernel α γ
{ val := λ a, (κ a).bind η, property := (measure.measurable_bind' (kernel.measurable _)).comp (kernel.measurable _) }
def
probability_theory.kernel.comp
probability.kernel
src/probability/kernel/composition.lean
[ "probability.kernel.measurable_integral" ]
[]
Composition of two s-finite kernels.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
comp_apply (η : kernel β γ) (κ : kernel α β) (a : α) : (η ∘ₖ κ) a = (κ a).bind η
rfl
lemma
probability_theory.kernel.comp_apply
probability.kernel
src/probability/kernel/composition.lean
[ "probability.kernel.measurable_integral" ]
[]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
comp_apply' (η : kernel β γ) (κ : kernel α β) (a : α) {s : set γ} (hs : measurable_set s) : (η ∘ₖ κ) a s = ∫⁻ b, η b s ∂(κ a)
by rw [comp_apply, measure.bind_apply hs (kernel.measurable _)]
lemma
probability_theory.kernel.comp_apply'
probability.kernel
src/probability/kernel/composition.lean
[ "probability.kernel.measurable_integral" ]
[ "measurable_set" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
comp_eq_snd_comp_prod (η : kernel β γ) [is_s_finite_kernel η] (κ : kernel α β) [is_s_finite_kernel κ] : η ∘ₖ κ = snd (κ ⊗ₖ prod_mk_left α η)
begin ext a s hs : 2, rw [comp_apply' _ _ _ hs, snd_apply' _ _ hs, comp_prod_apply], swap, { exact measurable_snd hs, }, simp only [set.mem_set_of_eq, set.set_of_mem_eq, prod_mk_left_apply' _ _ s], end
lemma
probability_theory.kernel.comp_eq_snd_comp_prod
probability.kernel
src/probability/kernel/composition.lean
[ "probability.kernel.measurable_integral" ]
[ "measurable_snd", "set.set_of_mem_eq" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
lintegral_comp (η : kernel β γ) (κ : kernel α β) (a : α) {g : γ → ℝ≥0∞} (hg : measurable g) : ∫⁻ c, g c ∂((η ∘ₖ κ) a) = ∫⁻ b, ∫⁻ c, g c ∂(η b) ∂(κ a)
by rw [comp_apply, measure.lintegral_bind (kernel.measurable _) hg]
lemma
probability_theory.kernel.lintegral_comp
probability.kernel
src/probability/kernel/composition.lean
[ "probability.kernel.measurable_integral" ]
[ "measurable" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
is_markov_kernel.comp (η : kernel β γ) [is_markov_kernel η] (κ : kernel α β) [is_markov_kernel κ] : is_markov_kernel (η ∘ₖ κ)
by { rw comp_eq_snd_comp_prod, apply_instance, }
instance
probability_theory.kernel.is_markov_kernel.comp
probability.kernel
src/probability/kernel/composition.lean
[ "probability.kernel.measurable_integral" ]
[]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
is_finite_kernel.comp (η : kernel β γ) [is_finite_kernel η] (κ : kernel α β) [is_finite_kernel κ] : is_finite_kernel (η ∘ₖ κ)
by { rw comp_eq_snd_comp_prod, apply_instance, }
instance
probability_theory.kernel.is_finite_kernel.comp
probability.kernel
src/probability/kernel/composition.lean
[ "probability.kernel.measurable_integral" ]
[]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
is_s_finite_kernel.comp (η : kernel β γ) [is_s_finite_kernel η] (κ : kernel α β) [is_s_finite_kernel κ] : is_s_finite_kernel (η ∘ₖ κ)
by { rw comp_eq_snd_comp_prod, apply_instance, }
instance
probability_theory.kernel.is_s_finite_kernel.comp
probability.kernel
src/probability/kernel/composition.lean
[ "probability.kernel.measurable_integral" ]
[]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
comp_assoc {δ : Type*} {mδ : measurable_space δ} (ξ : kernel γ δ) [is_s_finite_kernel ξ] (η : kernel β γ) (κ : kernel α β) : (ξ ∘ₖ η ∘ₖ κ) = ξ ∘ₖ (η ∘ₖ κ)
begin refine ext_fun (λ a f hf, _), simp_rw [lintegral_comp _ _ _ hf, lintegral_comp _ _ _ hf.lintegral_kernel], end
lemma
probability_theory.kernel.comp_assoc
probability.kernel
src/probability/kernel/composition.lean
[ "probability.kernel.measurable_integral" ]
[ "measurable_space" ]
Composition of kernels is associative.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
deterministic_comp_eq_map (hf : measurable f) (κ : kernel α β) : (deterministic f hf ∘ₖ κ) = map κ f hf
begin ext a s hs : 2, simp_rw [map_apply' _ _ _ hs, comp_apply' _ _ _ hs, deterministic_apply' hf _ hs, lintegral_indicator_const_comp hf hs, one_mul], end
lemma
probability_theory.kernel.deterministic_comp_eq_map
probability.kernel
src/probability/kernel/composition.lean
[ "probability.kernel.measurable_integral" ]
[ "measurable", "one_mul" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
comp_deterministic_eq_comap (κ : kernel α β) (hg : measurable g) : (κ ∘ₖ deterministic g hg) = comap κ g hg
begin ext a s hs : 2, simp_rw [comap_apply' _ _ _ s, comp_apply' _ _ _ hs, deterministic_apply hg a, lintegral_dirac' _ (kernel.measurable_coe κ hs)], end
lemma
probability_theory.kernel.comp_deterministic_eq_comap
probability.kernel
src/probability/kernel/composition.lean
[ "probability.kernel.measurable_integral" ]
[ "measurable" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
prod (κ : kernel α β) [is_s_finite_kernel κ] (η : kernel α γ) [is_s_finite_kernel η] : kernel α (β × γ)
κ ⊗ₖ (swap_left (prod_mk_left β η))
def
probability_theory.kernel.prod
probability.kernel
src/probability/kernel/composition.lean
[ "probability.kernel.measurable_integral" ]
[]
Product of two s-finite kernels.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
prod_apply (κ : kernel α β) [is_s_finite_kernel κ] (η : kernel α γ) [is_s_finite_kernel η] (a : α) {s : set (β × γ)} (hs : measurable_set s) : (κ ×ₖ η) a s = ∫⁻ (b : β), (η a) {c : γ | (b, c) ∈ s} ∂(κ a)
by simp_rw [prod, comp_prod_apply _ _ _ hs, swap_left_apply _ _, prod_mk_left_apply, prod.swap_prod_mk]
lemma
probability_theory.kernel.prod_apply
probability.kernel
src/probability/kernel/composition.lean
[ "probability.kernel.measurable_integral" ]
[ "measurable_set", "prod.swap_prod_mk" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
lintegral_prod (κ : kernel α β) [is_s_finite_kernel κ] (η : kernel α γ) [is_s_finite_kernel η] (a : α) {g : (β × γ) → ℝ≥0∞} (hg : measurable g) : ∫⁻ c, g c ∂((κ ×ₖ η) a) = ∫⁻ b, ∫⁻ c, g (b, c) ∂(η a) ∂(κ a)
by simp_rw [prod, lintegral_comp_prod _ _ _ hg, swap_left_apply, prod_mk_left_apply, prod.swap_prod_mk]
lemma
probability_theory.kernel.lintegral_prod
probability.kernel
src/probability/kernel/composition.lean
[ "probability.kernel.measurable_integral" ]
[ "measurable", "prod.swap_prod_mk" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
is_markov_kernel.prod (κ : kernel α β) [is_markov_kernel κ] (η : kernel α γ) [is_markov_kernel η] : is_markov_kernel (κ ×ₖ η)
by { rw prod, apply_instance, }
instance
probability_theory.kernel.is_markov_kernel.prod
probability.kernel
src/probability/kernel/composition.lean
[ "probability.kernel.measurable_integral" ]
[]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
is_finite_kernel.prod (κ : kernel α β) [is_finite_kernel κ] (η : kernel α γ) [is_finite_kernel η] : is_finite_kernel (κ ×ₖ η)
by { rw prod, apply_instance, }
instance
probability_theory.kernel.is_finite_kernel.prod
probability.kernel
src/probability/kernel/composition.lean
[ "probability.kernel.measurable_integral" ]
[]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
is_s_finite_kernel.prod (κ : kernel α β) [is_s_finite_kernel κ] (η : kernel α γ) [is_s_finite_kernel η] : is_s_finite_kernel (κ ×ₖ η)
by { rw prod, apply_instance, }
instance
probability_theory.kernel.is_s_finite_kernel.prod
probability.kernel
src/probability/kernel/composition.lean
[ "probability.kernel.measurable_integral" ]
[]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
measurable_id'' (hm : m ≤ mΩ) : @measurable Ω Ω mΩ m id
measurable_id.mono le_rfl hm
lemma
probability_theory.measurable_id''
probability.kernel
src/probability/kernel/condexp.lean
[ "probability.kernel.cond_distrib" ]
[ "le_rfl", "measurable" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
ae_measurable_id'' (μ : measure Ω) (hm : m ≤ mΩ) : @ae_measurable Ω Ω m mΩ id μ
@measurable.ae_measurable Ω Ω mΩ m id μ (measurable_id'' hm)
lemma
probability_theory.ae_measurable_id''
probability.kernel
src/probability/kernel/condexp.lean
[ "probability.kernel.cond_distrib" ]
[ "ae_measurable", "measurable.ae_measurable" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
_root_.measure_theory.ae_strongly_measurable.comp_snd_map_prod_id [topological_space F] (hm : m ≤ mΩ) (hf : ae_strongly_measurable f μ) : ae_strongly_measurable (λ x : Ω × Ω, f x.2) (@measure.map Ω (Ω × Ω) (m.prod mΩ) mΩ (λ ω, (id ω, id ω)) μ)
begin rw ← ae_strongly_measurable_comp_snd_map_prod_mk_iff (measurable_id'' hm) at hf, simp_rw [id.def] at hf ⊢, exact hf, end
lemma
measure_theory.ae_strongly_measurable.comp_snd_map_prod_id
probability.kernel
src/probability/kernel/condexp.lean
[ "probability.kernel.cond_distrib" ]
[ "topological_space" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83