mathlib-initiative/mathlib-tactics huggingface dataset:
Module: Mathlib.MeasureTheory.Function.ConditionalExpectation.CondexpL2

Goal state before:
pp: α : Type u_1
m m0 : MeasurableSpace α
μ : Measure α
s : Set α
hm : m ≤ m0
E : Type u_10
inst✝⁴ : NormedAddCommGroup E
inst✝³ : PartialOrder E
inst✝² : NormedSpace ℝ E
inst✝¹ : IsOrderedModule ℝ E
inst✝ : SigmaFinite (μ.trim hm)
hs : MeasurableSet s
hμs : μ s ≠ ∞
x : E
hx : 0 ≤ x
⊢ 0 ≤ᵐ[μ] ↑↑(condExpIndSMul hm hs hμs x)

Tactic:
refine EventuallyLE.trans_eq ?_ (condExpIndSMul_ae_eq_smul hm hs hμs x).symm
  filter_upwards [condExpL2_indicator_nonneg hm hs hμs] with a ha
  exact smul_nonneg ha hx

Goal state after:
Module: Mathlib.MeasureTheory.Function.ConditionalExpectation.Basic

Goal state before:
pp: α : Type u_1
E : Type u_3
𝕜 : Type u_4
inst✝⁴ : RCLike 𝕜
m₀ : MeasurableSpace α
μ : Measure α
inst✝³ : NormedAddCommGroup E
inst✝² : NormedSpace ℝ E
inst✝¹ : CompleteSpace E
inst✝ : NormedSpace 𝕜 E
c : 𝕜
f : α → E
m : MeasurableSpace α
⊢ μ[c • f | m] =ᵐ[μ] c • μ[f | m]

Tactic:
by_cases hm : m ≤ m₀

Goal state after:
case pos
α : Type u_1
E : Type u_3
𝕜 : Type u_4
inst✝⁴ : RCLike 𝕜
m₀ : MeasurableSpace α
μ : Measure α
inst✝³ : NormedAddCommGroup E
inst✝² : NormedSpace ℝ E
inst✝¹ : CompleteSpace E
inst✝ : NormedSpace 𝕜 E
c : 𝕜
f : α → E
m : MeasurableSpace α
hm : m ≤ m₀
⊢ μ[c • f | m] =ᵐ[μ] c • μ[f | m]

case neg
α : Type u_1
E : Type u_3
𝕜 : Type u_4
inst✝⁴ : RCLike 𝕜
m₀ : MeasurableSpace α
μ : Measure α
inst✝³ : NormedAddCommGroup E
inst✝² : NormedSpace ℝ E
inst✝¹ : CompleteSpace E
inst✝ : NormedSpace 𝕜 E
c : 𝕜
f : α → E
m : MeasurableSpace α
hm : ¬m ≤ m₀
⊢ μ[c • f | m] =ᵐ[μ] c • μ[f | m]
Module: Mathlib.MeasureTheory.Function.ConditionalExpectation.Basic

Goal state before:
pp: α : Type u_1
E : Type u_3
m₀ : MeasurableSpace α
μ : Measure α
inst✝² : NormedAddCommGroup E
inst✝¹ : NormedSpace ℝ E
inst✝ : CompleteSpace E
f : α → E
m : MeasurableSpace α
⊢ μ[-f | m] =ᵐ[μ] -μ[f | m]

Tactic:
calc
    μ[-f | m] = μ[(-1 : ℝ) • f | m] := by rw [neg_one_smul ℝ f]
    _ =ᵐ[μ] (-1 : ℝ) • μ[f | m] := condExp_smul ..
    _ = -μ[f | m] := neg_one_smul ℝ (μ[f | m])

Goal state after:
Module: Mathlib.MeasureTheory.Function.ConditionalExpectation.Basic

Goal state before:
pp: α : Type u_1
E : Type u_3
m m₀ : MeasurableSpace α
μ : Measure α
f : α → E
inst✝⁵ : NormedAddCommGroup E
inst✝⁴ : NormedSpace ℝ E
inst✝³ : CompleteSpace E
F : Type u_5
inst✝² : NormedAddCommGroup F
inst✝¹ : CompleteSpace F
inst✝ : NormedSpace ℝ F
hf_int : Integrable f μ
T : E →L[ℝ] F
⊢ ⇑T ∘ μ[f | m] =ᵐ[μ] μ[⇑T ∘ f | m]

Tactic:
by_cases hm : m ≤ m₀

Goal state after:
case pos
α : Type u_1
E : Type u_3
m m₀ : MeasurableSpace α
μ : Measure α
f : α → E
inst✝⁵ : NormedAddCommGroup E
inst✝⁴ : NormedSpace ℝ E
inst✝³ : CompleteSpace E
F : Type u_5
inst✝² : NormedAddCommGroup F
inst✝¹ : CompleteSpace F
inst✝ : NormedSpace ℝ F
hf_int : Integrable f μ
T : E →L[ℝ] F
hm : m ≤ m₀
⊢ ⇑T ∘ μ[f | m] =ᵐ[μ] μ[⇑T ∘ f | m]

case neg
α : Type u_1
E : Type u_3
m m₀ : MeasurableSpace α
μ : Measure α
f : α → E
inst✝⁵ : NormedAddCommGroup E
inst✝⁴ : NormedSpace ℝ E
inst✝³ : CompleteSpace E
F : Type u_5
inst✝² : NormedAddCommGroup F
inst✝¹ : CompleteSpace F
inst✝ : NormedSpace ℝ F
hf_int : Integrable f μ
T : E →L[ℝ] F
hm : ¬m ≤ m₀
⊢ ⇑T ∘ μ[f | m] =ᵐ[μ] μ[⇑T ∘ f | m]
Module: Mathlib.InformationTheory.KullbackLeibler.ChainRule

Goal state before:
pp: 𝓧 : Type u_1
𝓨 : Type u_2
m𝓧 : MeasurableSpace 𝓧
m𝓨 : MeasurableSpace 𝓨
μ ν : Measure 𝓧
κ η : Kernel 𝓧 𝓨
inst✝³ : IsFiniteMeasure μ
inst✝² : IsFiniteMeasure ν
inst✝¹ : IsMarkovKernel κ
inst✝ : IsMarkovKernel η
⊢ klDiv (μ ⊗ₘ κ) (ν ⊗ₘ η) = klDiv μ ν + klDiv (μ ⊗ₘ κ) (μ ⊗ₘ η)

Tactic:
by_cases h_ac : μ ⊗ₘ κ ≪ ν ⊗ₘ η
  swap
  · rw [klDiv_of_not_ac h_ac]
    rw [Measure.absolutelyContinuous_compProd_iff] at h_ac
    simp only [not_and_or] at h_ac
    cases h_ac with
    | inl h => simp [h]
    | inr h => simp [h]
  -- same if we don't have integrability
  by_cases h_int : Integrable (llr (μ ⊗ₘ κ) (ν ⊗ₘ η)) (μ ⊗ₘ κ)
  swap
  · rw [klDiv_of_not_integrable h_int]
    rw [integrable_llr_compProd_iff h_ac] at h_int
    simp only [not_and_or] at h_int
    cases h_int with
    | inl h => simp [h]
    | inr h => simp [h]
  -- now we can use express the KL divergences with an integral of a log-likelihood ratio
  have ⟨h_ac_μν, h_ac_κη⟩ := Measure.absolutelyContinuous_compProd_iff.mp h_ac
  have ⟨h_int_μν, h_int_κη⟩ := (integrable_llr_compProd_iff h_ac).mp h_int
  simp_rw [klDiv_of_ac_of_integrable h_ac h_int, klDiv_of_ac_of_integrable h_ac_μν h_int_μν,
    klDiv_of_ac_of_integrable h_ac_κη h_int_κη,
    ← ENNReal.ofReal_add (integral_llr_add_sub_measure_univ_nonneg h_ac_μν h_int_μν)
    (integral_llr_add_sub_measure_univ_nonneg h_ac_κη h_int_κη), measureReal_def,
    Measure.compProd_apply_univ, add_sub_cancel_right]
  -- it suffices to prove the chain rule for the integrals of log-likelihood ratios
  suffices ∫ p, llr (μ ⊗ₘ κ) (ν ⊗ₘ η) p ∂μ ⊗ₘ κ =
      ∫ a, llr μ ν a ∂μ + ∫ p, llr (μ ⊗ₘ κ) (μ ⊗ₘ η) p ∂(μ ⊗ₘ κ) by rw [this]; ring_nf
  -- the result follows from a previous lemma
  exact integral_llr_compProd_eq_add h_ac h_int

Goal state after:
Module: Mathlib.MeasureTheory.Function.ConditionalExpectation.Basic

Goal state before:
pp: α : Type u_1
E : Type u_3
m m₀ : MeasurableSpace α
μ : Measure α
inst✝³ : NormedAddCommGroup E
inst✝² : NormedSpace ℝ E
inst✝¹ : CompleteSpace E
ι : Type u_5
inst✝ : Countable ι
f : ι → α → E
hf : ∀ (i : ι), AEStronglyMeasurable (f i) μ
hf' : ∑' (i : ι), ∫⁻ (a : α), ‖f i a‖ₑ ∂μ ≠ ∞
⊢ μ[fun a ↦ ∑' (i : ι), f i a | m] =ᵐ[μ] fun a ↦ ∑' (i : ι), μ[f i | m] a

Tactic:
by_cases hm : m ≤ m₀

Goal state after:
case pos
α : Type u_1
E : Type u_3
m m₀ : MeasurableSpace α
μ : Measure α
inst✝³ : NormedAddCommGroup E
inst✝² : NormedSpace ℝ E
inst✝¹ : CompleteSpace E
ι : Type u_5
inst✝ : Countable ι
f : ι → α → E
hf : ∀ (i : ι), AEStronglyMeasurable (f i) μ
hf' : ∑' (i : ι), ∫⁻ (a : α), ‖f i a‖ₑ ∂μ ≠ ∞
hm : m ≤ m₀
⊢ μ[fun a ↦ ∑' (i : ι), f i a | m] =ᵐ[μ] fun a ↦ ∑' (i : ι), μ[f i | m] a

case neg
α : Type u_1
E : Type u_3
m m₀ : MeasurableSpace α
μ : Measure α
inst✝³ : NormedAddCommGroup E
inst✝² : NormedSpace ℝ E
inst✝¹ : CompleteSpace E
ι : Type u_5
inst✝ : Countable ι
f : ι → α → E
hf : ∀ (i : ι), AEStronglyMeasurable (f i) μ
hf' : ∑' (i : ι), ∫⁻ (a : α), ‖f i a‖ₑ ∂μ ≠ ∞
hm : ¬m ≤ m₀
⊢ μ[fun a ↦ ∑' (i : ι), f i a | m] =ᵐ[μ] fun a ↦ ∑' (i : ι), μ[f i | m] a
Module: Mathlib.MeasureTheory.Function.ConditionalExpectation.Indicator

Goal state before:
pp: α : Type u_1
E : Type u_2
m m0 : MeasurableSpace α
inst✝³ : NormedAddCommGroup E
inst✝² : NormedSpace ℝ E
inst✝¹ : CompleteSpace E
μ : Measure α
f : α → E
s : Set α
hm : m ≤ m0
inst✝ : SigmaFinite (μ.trim hm)
hs_m : MeasurableSet s
hf_int : Integrable f μ
this : SigmaFinite ((μ.restrict s).trim hm)
t : Set α
ht : MeasurableSet t
a✝ : μ t < ∞
h_int_restrict : Integrable (t.indicator (μ.restrict s)[f | m]) (μ.restrict s)
⊢ Integrable (t.indicator (μ.restrict s)[f | m]) (μ.restrict s)

Tactic:
exact h_int_restrict

Goal state after:
Module: Mathlib.MeasureTheory.Function.ConditionalExpectation.Basic

Goal state before:
pp: α : Type u_1
E : Type u_3
m m₀ : MeasurableSpace α
μ : Measure α
inst✝² : NormedAddCommGroup E
inst✝¹ : NormedSpace ℝ E
inst✝ : CompleteSpace E
fs gs : ℕ → α → E
f g : α → E
hfs_int : ∀ (n : ℕ), Integrable (fs n) μ
hgs_int : ∀ (n : ℕ), Integrable (gs n) μ
hfs : ∀ᵐ (x : α) ∂μ, Tendsto (fun n ↦ fs n x) atTop (𝓝 (f x))
hgs : ∀ᵐ (x : α) ∂μ, Tendsto (fun n ↦ gs n x) atTop (𝓝 (g x))
bound_fs : α → ℝ
h_int_bound_fs : Integrable bound_fs μ
bound_gs : α → ℝ
h_int_bound_gs : Integrable bound_gs μ
hfs_bound : ∀ (n : ℕ), ∀ᵐ (x : α) ∂μ, ‖fs n x‖ ≤ bound_fs x
hgs_bound : ∀ (n : ℕ), ∀ᵐ (x : α) ∂μ, ‖gs n x‖ ≤ bound_gs x
hfg : ∀ (n : ℕ), μ[fs n | m] =ᵐ[μ] μ[gs n | m]
⊢ μ[f | m] =ᵐ[μ] μ[g | m]

Tactic:
by_cases hm : m ≤ m₀

Goal state after:
case pos
α : Type u_1
E : Type u_3
m m₀ : MeasurableSpace α
μ : Measure α
inst✝² : NormedAddCommGroup E
inst✝¹ : NormedSpace ℝ E
inst✝ : CompleteSpace E
fs gs : ℕ → α → E
f g : α → E
hfs_int : ∀ (n : ℕ), Integrable (fs n) μ
hgs_int : ∀ (n : ℕ), Integrable (gs n) μ
hfs : ∀ᵐ (x : α) ∂μ, Tendsto (fun n ↦ fs n x) atTop (𝓝 (f x))
hgs : ∀ᵐ (x : α) ∂μ, Tendsto (fun n ↦ gs n x) atTop (𝓝 (g x))
bound_fs : α → ℝ
h_int_bound_fs : Integrable bound_fs μ
bound_gs : α → ℝ
h_int_bound_gs : Integrable bound_gs μ
hfs_bound : ∀ (n : ℕ), ∀ᵐ (x : α) ∂μ, ‖fs n x‖ ≤ bound_fs x
hgs_bound : ∀ (n : ℕ), ∀ᵐ (x : α) ∂μ, ‖gs n x‖ ≤ bound_gs x
hfg : ∀ (n : ℕ), μ[fs n | m] =ᵐ[μ] μ[gs n | m]
hm : m ≤ m₀
⊢ μ[f | m] =ᵐ[μ] μ[g | m]

case neg
α : Type u_1
E : Type u_3
m m₀ : MeasurableSpace α
μ : Measure α
inst✝² : NormedAddCommGroup E
inst✝¹ : NormedSpace ℝ E
inst✝ : CompleteSpace E
fs gs : ℕ → α → E
f g : α → E
hfs_int : ∀ (n : ℕ), Integrable (fs n) μ
hgs_int : ∀ (n : ℕ), Integrable (gs n) μ
hfs : ∀ᵐ (x : α) ∂μ, Tendsto (fun n ↦ fs n x) atTop (𝓝 (f x))
hgs : ∀ᵐ (x : α) ∂μ, Tendsto (fun n ↦ gs n x) atTop (𝓝 (g x))
bound_fs : α → ℝ
h_int_bound_fs : Integrable bound_fs μ
bound_gs : α → ℝ
h_int_bound_gs : Integrable bound_gs μ
hfs_bound : ∀ (n : ℕ), ∀ᵐ (x : α) ∂μ, ‖fs n x‖ ≤ bound_fs x
hgs_bound : ∀ (n : ℕ), ∀ᵐ (x : α) ∂μ, ‖gs n x‖ ≤ bound_gs x
hfg : ∀ (n : ℕ), μ[fs n | m] =ᵐ[μ] μ[gs n | m]
hm : ¬m ≤ m₀
⊢ μ[f | m] =ᵐ[μ] μ[g | m]
Module: Mathlib.MeasureTheory.Function.ConditionalExpectation.Basic

Goal state before:
pp: α : Type u_1
E : Type u_3
m m₀ : MeasurableSpace α
μ : Measure α
f g : α → E
inst✝⁶ : NormedAddCommGroup E
inst✝⁵ : NormedSpace ℝ E
inst✝⁴ : CompleteSpace E
inst✝³ : PartialOrder E
inst✝² : ClosedIciTopology E
inst✝¹ : IsOrderedAddMonoid E
inst✝ : IsOrderedModule ℝ E
hf : Integrable f μ
hg : Integrable g μ
hfg : f ≤ᵐ[μ] g
⊢ μ[f | m] ≤ᵐ[μ] μ[g | m]

Tactic:
by_cases hm : m ≤ m₀

Goal state after:
case pos
α : Type u_1
E : Type u_3
m m₀ : MeasurableSpace α
μ : Measure α
f g : α → E
inst✝⁶ : NormedAddCommGroup E
inst✝⁵ : NormedSpace ℝ E
inst✝⁴ : CompleteSpace E
inst✝³ : PartialOrder E
inst✝² : ClosedIciTopology E
inst✝¹ : IsOrderedAddMonoid E
inst✝ : IsOrderedModule ℝ E
hf : Integrable f μ
hg : Integrable g μ
hfg : f ≤ᵐ[μ] g
hm : m ≤ m₀
⊢ μ[f | m] ≤ᵐ[μ] μ[g | m]

case neg
α : Type u_1
E : Type u_3
m m₀ : MeasurableSpace α
μ : Measure α
f g : α → E
inst✝⁶ : NormedAddCommGroup E
inst✝⁵ : NormedSpace ℝ E
inst✝⁴ : CompleteSpace E
inst✝³ : PartialOrder E
inst✝² : ClosedIciTopology E
inst✝¹ : IsOrderedAddMonoid E
inst✝ : IsOrderedModule ℝ E
hf : Integrable f μ
hg : Integrable g μ
hfg : f ≤ᵐ[μ] g
hm : ¬m ≤ m₀
⊢ μ[f | m] ≤ᵐ[μ] μ[g | m]
Module: Mathlib.MeasureTheory.Function.ConditionalLExpectation

Goal state before:
pp: Ω : Type u_1
mΩ₀ mΩ : MeasurableSpace Ω
P : Measure Ω
X Y : Ω → ℝ≥0∞
⊢ P⁻[X | mΩ] + P⁻[Y | mΩ] ≤ᵐ[P] P⁻[X + Y | mΩ]

Tactic:
by_cases hm : mΩ ≤ mΩ₀; swap
  · simp_rw [condLExp_of_not_le hm]; filter_upwards; simp
  by_cases hσ : SigmaFinite (P.trim hm); swap
  · simp_rw [condLExp_of_not_sigmaFinite hm hσ]; filter_upwards; simp
  apply ae_le_of_ae_le_trim
  apply ae_le_of_forall_setLIntegral_le_of_sigmaFinite (μ := P.trim hm) (by fun_prop)
  intro s hs _
  simp only [Pi.add_apply]
  rw [lintegral_add_left (by fun_prop)]
  repeat rw [setLIntegral_condLExp_trim hm _ _ hs]
  grw [le_lintegral_add]
  simp

Goal state after:
Module: Mathlib.LinearAlgebra.Basis.Flag

Goal state before:
pp: R : Type u_1
M : Type u_2
inst✝² : Semiring R
inst✝¹ : AddCommMonoid M
inst✝ : Module R M
n : ℕ
b : Basis (Fin n) R M
⊢ b.flag (Fin.last n) = ⊤

Tactic:
by
  simp [flag]

Goal state after:
Module: Mathlib.LinearAlgebra.Alternating.DomCoprod

Goal state before:
pp: ιa : Type u_1
ιb : Type u_2
inst✝¹⁰ : Fintype ιa
inst✝⁹ : Fintype ιb
R' : Type u_3
Mᵢ : Type u_4
N₁ : Type u_5
N₂ : Type u_6
inst✝⁸ : CommSemiring R'
inst✝⁷ : AddCommGroup N₁
inst✝⁶ : Module R' N₁
inst✝⁵ : AddCommGroup N₂
inst✝⁴ : Module R' N₂
inst✝³ : AddCommMonoid Mᵢ
inst✝² : Module R' Mᵢ
inst✝¹ : DecidableEq ιa
inst✝ : DecidableEq ιb
a : MultilinearMap R' (fun x ↦ Mᵢ) N₁
b : MultilinearMap R' (fun x ↦ Mᵢ) N₂
σ : Perm (ιa ⊕ ιb)
f : Perm ιa × Perm ιb →* Perm (ιa ⊕ ιb) := sumCongrHom ιa ιb
| ∑ τ with τ⁻¹ * σ ∈ f.range, sign τ • domDomCongr τ (a.domCoprod b)

Tactic:
rw [← Finset.map_univ_equiv (Equiv.mulLeft σ), Finset.filter_map, Finset.sum_map]

Goal state after:
ιa : Type u_1
ιb : Type u_2
inst✝¹⁰ : Fintype ιa
inst✝⁹ : Fintype ιb
R' : Type u_3
Mᵢ : Type u_4
N₁ : Type u_5
N₂ : Type u_6
inst✝⁸ : CommSemiring R'
inst✝⁷ : AddCommGroup N₁
inst✝⁶ : Module R' N₁
inst✝⁵ : AddCommGroup N₂
inst✝⁴ : Module R' N₂
inst✝³ : AddCommMonoid Mᵢ
inst✝² : Module R' Mᵢ
inst✝¹ : DecidableEq ιa
inst✝ : DecidableEq ιb
a : MultilinearMap R' (fun x ↦ Mᵢ) N₁
b : MultilinearMap R' (fun x ↦ Mᵢ) N₂
σ : Perm (ιa ⊕ ιb)
f : Perm ιa × Perm ιb →* Perm (ιa ⊕ ιb) := sumCongrHom ιa ιb
| ∑ x with ((fun τ ↦ τ⁻¹ * σ ∈ f.range) ∘ ⇑(Equiv.toEmbedding (Equiv.mulLeft σ))) x,
    sign ((Equiv.toEmbedding (Equiv.mulLeft σ)) x) •
      domDomCongr ((Equiv.toEmbedding (Equiv.mulLeft σ)) x) (a.domCoprod b)
Module: Mathlib.LinearAlgebra.Center

Goal state before:
pp: case neg
R : Type u_1
V : Type u_2
inst✝⁴ : Ring R
inst✝³ : IsDomain R
inst✝² : AddCommGroup V
inst✝¹ : Module R V
f : V →ₗ[R] V
ι : Type u_3
inst✝ : Nontrivial ι
b : Basis ι R V
i j : ι
h✝ : ∀ (v : V), ∃ x x_1, ∃ (_ : x • v + x_1 • f v = 0), ¬(x = 0 ∧ x_1 = 0)
s t : R
h : s • b i + t • f (b i) = 0
h' : ¬(s = 0 ∧ t = 0)
hj : ¬i = j
this : t = 0 ∨ (b.repr (f (b i))) j = 0
⊢ (b.repr (f (b i))) j = 0

Tactic:
apply Or.resolve_left this

Goal state after:
case neg
R : Type u_1
V : Type u_2
inst✝⁴ : Ring R
inst✝³ : IsDomain R
inst✝² : AddCommGroup V
inst✝¹ : Module R V
f : V →ₗ[R] V
ι : Type u_3
inst✝ : Nontrivial ι
b : Basis ι R V
i j : ι
h✝ : ∀ (v : V), ∃ x x_1, ∃ (_ : x • v + x_1 • f v = 0), ¬(x = 0 ∧ x_1 = 0)
s t : R
h : s • b i + t • f (b i) = 0
h' : ¬(s = 0 ∧ t = 0)
hj : ¬i = j
this : t = 0 ∨ (b.repr (f (b i))) j = 0
⊢ ¬t = 0
Module: Mathlib.LinearAlgebra.Transvection.Basic

Goal state before:
pp: case neg
V : Type u_2
inst✝² : AddCommGroup V
K : Type u_3
inst✝¹ : DivisionRing K
inst✝ : Module K V
e : V ≃ₗ[K] V
u : V →ₗ[K] V := ↑e - LinearMap.id
he : Module.rank K ↥u.range ≤ 1
hu : u + LinearMap.id = ↑e
hr : Module.rank K ↥u.range ≠ 0
⊢ ∃ f v, ↑e = LinearMap.transvection f v

Tactic:
← Cardinal.one_le_iff_ne_zero

Goal state after:
case neg
V : Type u_2
inst✝² : AddCommGroup V
K : Type u_3
inst✝¹ : DivisionRing K
inst✝ : Module K V
e : V ≃ₗ[K] V
u : V →ₗ[K] V := ↑e - LinearMap.id
he : Module.rank K ↥u.range ≤ 1
hu : u + LinearMap.id = ↑e
hr : 1 ≤ Module.rank K ↥u.range
⊢ ∃ f v, ↑e = LinearMap.transvection f v
Module: Mathlib.LinearAlgebra.CliffordAlgebra.Equivs

Goal state before:
pp: ⊢ toComplex.comp ofComplex = AlgHom.id ℝ ℂ

Tactic:
by
  ext1
  dsimp only [AlgHom.comp_apply, Subtype.coe_mk, AlgHom.id_apply]
  rw [ofComplex_I, toComplex_ι, one_smul]

Goal state after:
Module: Mathlib.LinearAlgebra.Transvection.Basic

Goal state before:
pp: case inr
R : Type u_3
V : Type u_4
inst✝⁴ : CommRing R
inst✝³ : AddCommGroup V
inst✝² : Module R V
inst✝¹ : Free R V
inst✝ : Module.Finite R V
f : Dual R V
v : V
hR : Nontrivial R
n : ℕ := finrank R V
b : Basis (Fin n) R V
S : Type := MvPolynomial (Fin n ⊕ Fin n) ℤ
γ : S →+* R := ↑(MvPolynomial.aeval (Sum.elim (fun i ↦ f (b i)) fun i ↦ (b.coord i) v))
this : IsDomain S
x✝² : Algebra S R := γ.toAlgebra
x✝¹ : Module S V := compHom V γ
x✝ : IsScalarTower S R V
ε : (Fin n → S) →ₗ[S] V := Fintype.linearCombination S fun i ↦ b i
ibc : IsBaseChange R ε
M : Type := Fin n → S
hε : ∀ (i : Fin n), ε (Pi.single i 1) = b i
⊢ LinearMap.det (transvection f v) = 1 + f v

Tactic:
let fM : Dual S M :=
    Fintype.linearCombination S fun i ↦ MvPolynomial.X (Sum.inl i)

Goal state after:
case inr
R : Type u_3
V : Type u_4
inst✝⁴ : CommRing R
inst✝³ : AddCommGroup V
inst✝² : Module R V
inst✝¹ : Free R V
inst✝ : Module.Finite R V
f : Dual R V
v : V
hR : Nontrivial R
n : ℕ := finrank R V
b : Basis (Fin n) R V
S : Type := MvPolynomial (Fin n ⊕ Fin n) ℤ
γ : S →+* R := ↑(MvPolynomial.aeval (Sum.elim (fun i ↦ f (b i)) fun i ↦ (b.coord i) v))
this : IsDomain S
x✝² : Algebra S R := γ.toAlgebra
x✝¹ : Module S V := compHom V γ
x✝ : IsScalarTower S R V
ε : (Fin n → S) →ₗ[S] V := Fintype.linearCombination S fun i ↦ b i
ibc : IsBaseChange R ε
M : Type := Fin n → S
hε : ∀ (i : Fin n), ε (Pi.single i 1) = b i
fM : Dual S M := Fintype.linearCombination S fun i ↦ MvPolynomial.X (Sum.inl i)
⊢ LinearMap.det (transvection f v) = 1 + f v
Module: Mathlib.LinearAlgebra.CliffordAlgebra.EvenEquiv

Goal state before:
pp: R : Type u_1
M : Type u_2
inst✝² : CommRing R
inst✝¹ : AddCommGroup M
inst✝ : Module R M
Q : QuadraticForm R M
m₁✝ m₂✝ : M × R
m₁ : M
r₁ : R
m₂ : M
r₂ : R
⊢ ↑(((toEven Q) ((ι Q) (m₁, r₁).1) + (toEven Q) ((algebraMap R (CliffordAlgebra Q)) (m₁, r₁).2)) *
        ((toEven Q) ((ι Q) (m₂, r₂).1) - (toEven Q) ((algebraMap R (CliffordAlgebra Q)) (m₂, r₂).2))) =
    (e0 Q * (v Q) m₁ + (algebraMap R (CliffordAlgebra (Q' Q))) r₁) *
      (e0 Q * (v Q) m₂ - (algebraMap R (CliffordAlgebra (Q' Q))) r₂)

Tactic:
AlgHom.commutes,

Goal state after:
R : Type u_1
M : Type u_2
inst✝² : CommRing R
inst✝¹ : AddCommGroup M
inst✝ : Module R M
Q : QuadraticForm R M
m₁✝ m₂✝ : M × R
m₁ : M
r₁ : R
m₂ : M
r₂ : R
⊢ ↑(((toEven Q) ((ι Q) (m₁, r₁).1) + (algebraMap R ↥(even (Q' Q))) (m₁, r₁).2) *
        ((toEven Q) ((ι Q) (m₂, r₂).1) - (toEven Q) ((algebraMap R (CliffordAlgebra Q)) (m₂, r₂).2))) =
    (e0 Q * (v Q) m₁ + (algebraMap R (CliffordAlgebra (Q' Q))) r₁) *
      (e0 Q * (v Q) m₂ - (algebraMap R (CliffordAlgebra (Q' Q))) r₂)
Module: Mathlib.LinearAlgebra.CliffordAlgebra.EvenEquiv

Goal state before:
pp: R : Type u_1
M : Type u_2
inst✝² : CommRing R
inst✝¹ : AddCommGroup M
inst✝ : Module R M
Q : QuadraticForm R M
m₁✝ m₂✝ : M × R
m₁ : M
r₁ : R
m₂ : M
r₂ : R
⊢ ↑(((toEven Q) ((ι Q) (m₁, r₁).1) + (algebraMap R ↥(even (Q' Q))) (m₁, r₁).2) *
        ((toEven Q) ((ι Q) (m₂, r₂).1) - (toEven Q) ((algebraMap R (CliffordAlgebra Q)) (m₂, r₂).2))) =
    (e0 Q * (v Q) m₁ + (algebraMap R (CliffordAlgebra (Q' Q))) r₁) *
      (e0 Q * (v Q) m₂ - (algebraMap R (CliffordAlgebra (Q' Q))) r₂)

Tactic:
AlgHom.commutes,

Goal state after:
R : Type u_1
M : Type u_2
inst✝² : CommRing R
inst✝¹ : AddCommGroup M
inst✝ : Module R M
Q : QuadraticForm R M
m₁✝ m₂✝ : M × R
m₁ : M
r₁ : R
m₂ : M
r₂ : R
⊢ ↑(((toEven Q) ((ι Q) (m₁, r₁).1) + (algebraMap R ↥(even (Q' Q))) (m₁, r₁).2) *
        ((toEven Q) ((ι Q) (m₂, r₂).1) - (algebraMap R ↥(even (Q' Q))) (m₂, r₂).2)) =
    (e0 Q * (v Q) m₁ + (algebraMap R (CliffordAlgebra (Q' Q))) r₁) *
      (e0 Q * (v Q) m₂ - (algebraMap R (CliffordAlgebra (Q' Q))) r₂)
Module: Mathlib.LinearAlgebra.CliffordAlgebra.Prod

Goal state before:
pp: case mem.algebraMap
R : Type u_1
M₁ : Type u_2
M₂ : Type u_3
N : Type u_4
inst✝⁶ : CommRing R
inst✝⁵ : AddCommGroup M₁
inst✝⁴ : AddCommGroup M₂
inst✝³ : AddCommGroup N
inst✝² : Module R M₁
inst✝¹ : Module R M₂
inst✝ : Module R N
Q₁ : QuadraticForm R M₁
Q₂ : QuadraticForm R M₂
Qₙ : QuadraticForm R N
f₁ : Q₁ →qᵢ Qₙ
f₂ : Q₂ →qᵢ Qₙ
hf : ∀ (x : M₁) (y : M₂), QuadraticMap.IsOrtho Qₙ (f₁ x) (f₂ y)
m₁ : CliffordAlgebra Q₁
m₂ : CliffordAlgebra Q₂
i₂ : ZMod 2
hm₂ : m₂ ∈ evenOdd Q₂ i₂
m₁' : CliffordAlgebra Q₁
i₁n : ℕ
r✝ : R
⊢ (map f₁) ((algebraMap R (CliffordAlgebra Q₁)) r✝) * (map f₂) m₂ =
    (-1) ^ (i₂ * ↑0) • ((map f₂) m₂ * (map f₁) ((algebraMap R (CliffordAlgebra Q₁)) r✝))

Tactic:
AlgHom.commutes,

Goal state after:
case mem.algebraMap
R : Type u_1
M₁ : Type u_2
M₂ : Type u_3
N : Type u_4
inst✝⁶ : CommRing R
inst✝⁵ : AddCommGroup M₁
inst✝⁴ : AddCommGroup M₂
inst✝³ : AddCommGroup N
inst✝² : Module R M₁
inst✝¹ : Module R M₂
inst✝ : Module R N
Q₁ : QuadraticForm R M₁
Q₂ : QuadraticForm R M₂
Qₙ : QuadraticForm R N
f₁ : Q₁ →qᵢ Qₙ
f₂ : Q₂ →qᵢ Qₙ
hf : ∀ (x : M₁) (y : M₂), QuadraticMap.IsOrtho Qₙ (f₁ x) (f₂ y)
m₁ : CliffordAlgebra Q₁
m₂ : CliffordAlgebra Q₂
i₂ : ZMod 2
hm₂ : m₂ ∈ evenOdd Q₂ i₂
m₁' : CliffordAlgebra Q₁
i₁n : ℕ
r✝ : R
⊢ (algebraMap R (CliffordAlgebra Qₙ)) r✝ * (map f₂) m₂ =
    (-1) ^ (i₂ * ↑0) • ((map f₂) m₂ * (algebraMap R (CliffordAlgebra Qₙ)) r✝)
Module: Mathlib.LinearAlgebra.CliffordAlgebra.Prod

Goal state before:
pp: case mem.algebraMap
R : Type u_1
M₁ : Type u_2
M₂ : Type u_3
N : Type u_4
inst✝⁶ : CommRing R
inst✝⁵ : AddCommGroup M₁
inst✝⁴ : AddCommGroup M₂
inst✝³ : AddCommGroup N
inst✝² : Module R M₁
inst✝¹ : Module R M₂
inst✝ : Module R N
Q₁ : QuadraticForm R M₁
Q₂ : QuadraticForm R M₂
Qₙ : QuadraticForm R N
f₁ : Q₁ →qᵢ Qₙ
f₂ : Q₂ →qᵢ Qₙ
hf : ∀ (x : M₁) (y : M₂), QuadraticMap.IsOrtho Qₙ (f₁ x) (f₂ y)
m₁ : CliffordAlgebra Q₁
m₂ : CliffordAlgebra Q₂
i₂ : ZMod 2
hm₂ : m₂ ∈ evenOdd Q₂ i₂
m₁' : CliffordAlgebra Q₁
i₁n : ℕ
r✝ : R
⊢ (algebraMap R (CliffordAlgebra Qₙ)) r✝ * (map f₂) m₂ =
    (-1) ^ (i₂ * ↑0) • ((map f₂) m₂ * (algebraMap R (CliffordAlgebra Qₙ)) r✝)

Tactic:
Nat.cast_zero,

Goal state after:
case mem.algebraMap
R : Type u_1
M₁ : Type u_2
M₂ : Type u_3
N : Type u_4
inst✝⁶ : CommRing R
inst✝⁵ : AddCommGroup M₁
inst✝⁴ : AddCommGroup M₂
inst✝³ : AddCommGroup N
inst✝² : Module R M₁
inst✝¹ : Module R M₂
inst✝ : Module R N
Q₁ : QuadraticForm R M₁
Q₂ : QuadraticForm R M₂
Qₙ : QuadraticForm R N
f₁ : Q₁ →qᵢ Qₙ
f₂ : Q₂ →qᵢ Qₙ
hf : ∀ (x : M₁) (y : M₂), QuadraticMap.IsOrtho Qₙ (f₁ x) (f₂ y)
m₁ : CliffordAlgebra Q₁
m₂ : CliffordAlgebra Q₂
i₂ : ZMod 2
hm₂ : m₂ ∈ evenOdd Q₂ i₂
m₁' : CliffordAlgebra Q₁
i₁n : ℕ
r✝ : R
⊢ (algebraMap R (CliffordAlgebra Qₙ)) r✝ * (map f₂) m₂ =
    (-1) ^ (i₂ * 0) • ((map f₂) m₂ * (algebraMap R (CliffordAlgebra Qₙ)) r✝)
Module: Mathlib.LinearAlgebra.TensorProduct.Graded.External

Goal state before:
pp: R : Type u_1
ι : Type u_2
inst✝¹¹ : CommSemiring ι
inst✝¹⁰ : Module ι (Additive ℤˣ)
inst✝⁹ : DecidableEq ι
𝒜 : ι → Type u_3
ℬ : ι → Type u_4
inst✝⁸ : CommRing R
inst✝⁷ : (i : ι) → AddCommGroup (𝒜 i)
inst✝⁶ : (i : ι) → AddCommGroup (ℬ i)
inst✝⁵ : (i : ι) → Module R (𝒜 i)
inst✝⁴ : (i : ι) → Module R (ℬ i)
inst✝³ : DirectSum.GRing 𝒜
inst✝² : DirectSum.GRing ℬ
inst✝¹ : DirectSum.GAlgebra R 𝒜
inst✝ : DirectSum.GAlgebra R ℬ
x : (⨁ (i : ι), 𝒜 i) ⊗[R] ⨁ (i : ι), ℬ i
⊢ ((gradedMul R 𝒜 ℬ) 1) x = x

Tactic:
by
  -- Note: https://github.com/leanprover-community/mathlib4/pull/8386 had to specialize `map_one` to avoid timeouts.
  simpa only [RingHom.map_one, one_smul] using! algebraMap_gradedMul 𝒜 ℬ 1 x

Goal state after:
Module: Mathlib.LinearAlgebra.TensorProduct.Graded.Internal

Goal state before:
pp: R : Type u_1
ι : Type u_2
A : Type u_3
B : Type u_4
inst✝⁹ : CommSemiring ι
inst✝⁸ : DecidableEq ι
inst✝⁷ : CommRing R
inst✝⁶ : Ring A
inst✝⁵ : Ring B
inst✝⁴ : Algebra R A
inst✝³ : Algebra R B
𝒜 : ι → Submodule R A
ℬ : ι → Submodule R B
inst✝² : GradedAlgebra 𝒜
inst✝¹ : GradedAlgebra ℬ
inst✝ : Module ι (Additive ℤˣ)
x y z : 𝒜 ᵍ⊗[R] ℬ
⊢ (x + y) * z = x * z + y * z

Tactic:
simp_rw [mul_def, LinearMap.map_add₂]

Goal state after:
Module: Mathlib.LinearAlgebra.TensorProduct.Graded.Internal

Goal state before:
pp: R : Type u_1
ι : Type u_2
A : Type u_3
B : Type u_4
inst✝⁹ : CommSemiring ι
inst✝⁸ : DecidableEq ι
inst✝⁷ : CommRing R
inst✝⁶ : Ring A
inst✝⁵ : Ring B
inst✝⁴ : Algebra R A
inst✝³ : Algebra R B
𝒜 : ι → Submodule R A
ℬ : ι → Submodule R B
inst✝² : GradedAlgebra 𝒜
inst✝¹ : GradedAlgebra ℬ
inst✝ : Module ι (Additive ℤˣ)
x y z : 𝒜 ᵍ⊗[R] ℬ
⊢ (x + y) * z = x * z + y * z

Tactic:
by simp_rw [mul_def, LinearMap.map_add₂]

Goal state after: