mathlib-initiative/mathlib-tactics huggingface dataset:
Module: Mathlib.RingTheory.MvPowerSeries.GaussNorm

Goal state before:
pp: R : Type u_1
σ : Type u_2
v : R → ℝ
c : σ → ℝ
inst✝ : Semiring R
f g : MvPowerSeries σ R
hc : 0 ≤ c
vNonneg : ∀ (a : R), v a ≥ 0
hbfd : HasGaussNorm v c f
hbgd : HasGaussNorm v c g
H : ∀ (t : σ →₀ ℕ), 0 ≤ ∏ i ∈ t.support, c i ^ t i
t : σ →₀ ℕ
hv : v ((coeff t) f + (coeff t) g) ≤ max (v ((coeff t) f)) (v ((coeff t) g))
h : max (v ((coeff t) f)) (v ((coeff t) g)) = v ((coeff t) g)
this :
  max (v ((coeff t) f) * ∏ i ∈ t.support, c i ^ t i) (v ((coeff t) g) * ∏ i ∈ t.support, c i ^ t i) =
    v ((coeff t) g) * ∏ i ∈ t.support, c i ^ t i
⊢ ∏ i ∈ t.support, c i ^ t i ≤ ∏ i ∈ t.support, c i ^ t i

Tactic:
by

Goal state after:
Module: Mathlib.Analysis.ODE.PicardLindelof

Goal state before:
pp: E : Type u_1
inst✝¹ : NormedAddCommGroup E
inst✝ : NormedSpace ℝ E
f : E → E
x₀ : E
hf : ContDiffAt ℝ 1 f x₀
K : ℝ≥0
s : Set E
hs : s ∈ 𝓝 x₀
hl : LipschitzOnWith K f s
a : ℝ
ha : 0 < a
has : ball x₀ a ⊆ s
L : ℝ := ↑K * a + ‖f x₀‖ + 1
hL : L = ↑K * a + ‖f x₀‖ + 1
hL0 : 0 < L
hb : ∀ x ∈ closedBall x₀ (a / 2), ‖f x‖ ≤ L
ε : ℝ := a / L / 2 / 2
⊢ 0 < ε

Tactic:
by

Goal state after:
Module: Mathlib.RingTheory.MvPowerSeries.GaussNorm

Goal state before:
pp: R : Type u_1
σ : Type u_2
v : R → ℝ
c : σ → ℝ
inst✝ : Semiring R
f g : MvPowerSeries σ R
hc : 0 ≤ c
vNonneg : ∀ (a : R), v a ≥ 0
hbfd : HasGaussNorm v c f
hbgd : HasGaussNorm v c g
H : ∀ (t : σ →₀ ℕ), 0 ≤ ∏ i ∈ t.support, c i ^ t i
t : σ →₀ ℕ
hv : v ((coeff t) f + (coeff t) g) ≤ max (v ((coeff t) f)) (v ((coeff t) g))
h : max (v ((coeff t) f)) (v ((coeff t) g)) = v ((coeff t) g)
this :
  max (v ((coeff t) f) * ∏ i ∈ t.support, c i ^ t i) (v ((coeff t) g) * ∏ i ∈ t.support, c i ^ t i) =
    v ((coeff t) g) * ∏ i ∈ t.support, c i ^ t i
⊢ 0 ≤ v ((coeff t) (f + g))

Tactic:
by

Goal state after:
Module: Mathlib.Analysis.ODE.PicardLindelof

Goal state before:
pp: E : Type u_1
inst✝¹ : NormedAddCommGroup E
inst✝ : NormedSpace ℝ E
f : E → E
x₀ : E
hf : ContDiffAt ℝ 1 f x₀
⊢ ∃ ε, ∃ (hε : 0 < ε), ∃ a r L K, ∃ (_ : 0 < r), ∀ (t₀ : ℝ), IsPicardLindelof (fun x ↦ f) ⟨t₀, ⋯⟩ x₀ a r L K

Tactic:
by

Goal state after:
Module: Mathlib.Analysis.ODE.PicardLindelof

Goal state before:
pp: E : Type u_1
inst✝² : NormedAddCommGroup E
inst✝¹ : NormedSpace ℝ E
inst✝ : CompleteSpace E
f : ℝ → E → E
tmin tmax : ℝ
t₀ : ↑(Icc tmin tmax)
x₀ x : E
a r L K : ℝ≥0
hf : IsPicardLindelof f t₀ x₀ a r L K
hx : x ∈ closedBall x₀ ↑r
α : FunSpace t₀ x₀ r L
hα : IsFixedPt (FunSpace.next hf hx) α
⊢ (FunSpace.next hf hx α).compProj ↑t₀ = x

Tactic:
by

Goal state after:
Module: Mathlib.RingTheory.Polynomial.GaussNorm

Goal state before:
pp: c✝ : ℝ
R✝ : Type u_3
inst✝¹ : Ring R✝
v✝ : AbsoluteValue R✝ ℝ
c : ℝ
R : Type u_3
inst✝ : Ring R
v : AbsoluteValue R ℝ
hna : IsNonarchimedean ⇑v
hc : 0 < c
p q : R[X]
hc0 : 0 ≤ c
i : ℕ
hi_p : gaussNorm v c p = v (p.coeff i) * c ^ i
hlt_p : ∀ j < i, v (p.coeff j) * c ^ j < gaussNorm v c p
j : ℕ
hj_q : gaussNorm v c q = v (q.coeff j) * c ^ j
hlt_q : ∀ j_1 < j, v (q.coeff j_1) * c ^ j_1 < gaussNorm v c q
hvpq : v (p.coeff i) ≠ 0 ∧ v (q.coeff j) ≠ 0
this✝ : v (p.coeff i) ≠ 0
this : v (q.coeff j) ≠ 0
x : ℕ
hx : x ∈ range (i + j).succ
hneq : x ≠ i
⊢ x + (i + j - x) = i + j

Tactic:
by

Goal state after:
Module: Mathlib.RingTheory.MvPowerSeries.GaussNorm

Goal state before:
pp: R : Type u_1
σ : Type u_2
v : R → ℝ
c : σ → ℝ
inst✝ : Semiring R
f g : MvPowerSeries σ R
hc : 0 ≤ c
vNonneg : ∀ (a : R), v a ≥ 0
hv : IsNonarchimedean v
hbfd : HasGaussNorm v c f
hbgd : HasGaussNorm v c g
H : ∀ (t : σ →₀ ℕ), 0 ≤ ∏ i ∈ t.support, c i ^ t i
t : σ →₀ ℕ
⊢ v ((coeff t) (f + g)) * ∏ i ∈ t.support, c i ^ t i ≤
    max (v ((coeff t) f) * ∏ i ∈ t.support, c i ^ t i) (v ((coeff t) g) * ∏ i ∈ t.support, c i ^ t i)

Tactic:
by

Goal state after:
Module: Mathlib.Analysis.ODE.PicardLindelof

Goal state before:
pp: E : Type u_1
inst✝² : NormedAddCommGroup E
inst✝¹ : NormedSpace ℝ E
inst✝ : CompleteSpace E
f : ℝ → E → E
tmin tmax : ℝ
t₀ : ↑(Icc tmin tmax)
x₀ x : E
a r L K : ℝ≥0
hf : IsPicardLindelof f t₀ x₀ a r L K
hx : x ∈ closedBall x₀ ↑r
⊢ ∃ α, α ↑t₀ = x ∧ ∀ t ∈ Icc tmin tmax, α t = picard f (↑t₀) x α t

Tactic:
by

Goal state after:
Module: Mathlib.Analysis.Polynomial.Order

Goal state before:
pp: P : ℝ[X]
x : ℝ
hlc : 0 ≤ P.leadingCoeff
hroots : P.leadingCoeff ≤ 0
⊢ P.IsRoot x

Tactic:
by

Goal state after:
Module: Mathlib.Analysis.Polynomial.Order

Goal state before:
pp: P : ℝ[X]
x : ℝ
hroots : ∀ (y : ℝ), P.IsRoot y → y < x
hlc : 0 ≤ P.leadingCoeff
⊢ 0 < P.leadingCoeff

Tactic:
by

Goal state after:
Module: Mathlib.Analysis.Polynomial.Order

Goal state before:
pp: P : ℝ[X]
x : ℝ
hlc : 0 < P.leadingCoeff
hdeg : 0 < P.degree
hroots : eval x P ≤ 0
z : ℝ
hz : ∀ (b : ℝ), z ≤ b → 0 < eval b P
w : ℝ := max x z
hw : x ≤ w ∧ 0 < eval w P
y : ℝ
hy : y ∈ Set.Icc x w ∧ eval y P = 0
⊢ x ≤ y

Tactic:
by

Goal state after:
Module: Mathlib.Analysis.Polynomial.Order

Goal state before:
pp: P : ℝ[X]
x : ℝ
hroots : ∀ (y : ℝ), P.IsRoot y → y < x
hlc : 0 ≤ P.leadingCoeff
⊢ 0 < eval x P

Tactic:
by

Goal state after:
Module: Mathlib.Analysis.Polynomial.Order

Goal state before:
pp: P : ℝ[X]
x : ℝ
hroots : ∀ (y : ℝ), P.IsRoot y → y ≤ x
hlc : 0 ≤ P.leadingCoeff
⊢ 0 ≤ eval x P

Tactic:
by

Goal state after:
Module: Mathlib.Analysis.Polynomial.Order

Goal state before:
pp: P : ℝ[X]
x : ℝ
hroots : ∀ (y : ℝ), P.IsRoot y → y < x
hlc : P.leadingCoeff ≤ 0
this : 0 < eval x (-P)
⊢ eval x P < 0

Tactic:
by

Goal state after:
Module: Mathlib.Analysis.Polynomial.Order

Goal state before:
pp: P : ℝ[X]
x : ℝ
hroots : ∀ (y : ℝ), P.IsRoot y → y < x
hlc : P.leadingCoeff ≤ 0
⊢ eval x P < 0

Tactic:
by

Goal state after:
Module: Mathlib.Analysis.Polynomial.Order

Goal state before:
pp: P : ℝ[X]
x : ℝ
hroots : ∀ (y : ℝ), P.IsRoot y → y ≤ x
hlc : P.leadingCoeff ≤ 0
this : 0 ≤ eval x (-P)
⊢ eval x P ≤ 0

Tactic:
by

Goal state after:
Module: Mathlib.RingTheory.MvPowerSeries.GaussNorm

Goal state before:
pp: R : Type u_1
σ : Type u_2
v : R → ℝ
c : σ → ℝ
inst✝ : Semiring R
f g : MvPowerSeries σ R
hc : 0 ≤ c
vNonneg : ∀ (a : R), v a ≥ 0
hv : IsNonarchimedean v
hbfd : HasGaussNorm v c f
hbgd : HasGaussNorm v c g
H : ∀ (t : σ →₀ ℕ), 0 ≤ ∏ i ∈ t.support, c i ^ t i
Final :
  ∀ (t : σ →₀ ℕ),
    v ((coeff t) (f + g)) * ∏ i ∈ t.support, c i ^ t i ≤
      max (v ((coeff t) f) * ∏ i ∈ t.support, c i ^ t i) (v ((coeff t) g) * ∏ i ∈ t.support, c i ^ t i)
t : σ →₀ ℕ
⊢ max (v ((coeff t) f) * ∏ i ∈ t.support, c i ^ t i) (v ((coeff t) g) * ∏ i ∈ t.support, c i ^ t i) ≤
    max (gaussNorm v c f) (gaussNorm v c g)

Tactic:
by

Goal state after:
Module: Mathlib.Analysis.Polynomial.Order

Goal state before:
pp: P : ℝ[X]
x : ℝ
hroots : ∀ (y : ℝ), P.IsRoot y → y ≤ x
hlc : P.leadingCoeff ≤ 0
⊢ eval x P ≤ 0

Tactic:
by

Goal state after:
Module: Mathlib.RingTheory.MvPowerSeries.GaussNorm

Goal state before:
pp: R : Type u_1
σ : Type u_2
v : R → ℝ
c : σ → ℝ
inst✝ : Semiring R
f g : MvPowerSeries σ R
hc : 0 ≤ c
vNonneg : ∀ (a : R), v a ≥ 0
hv : IsNonarchimedean v
hbfd : HasGaussNorm v c f
hbgd : HasGaussNorm v c g
⊢ gaussNorm v c (f + g) ≤ max (gaussNorm v c f) (gaussNorm v c g)

Tactic:
by

Goal state after:
Module: Mathlib.Analysis.Polynomial.Order

Goal state before:
pp: P : ℝ[X]
x : ℝ
hroots : ∀ (y : ℝ), P.IsRoot y → x < y
hlc : 0 ≤ P.leadingCoeff
y : ℝ
hy : (P.comp (-X)).IsRoot y
⊢ y < -x

Tactic:
by

Goal state after:
Module: Mathlib.RingTheory.Polynomial.GaussNorm

Goal state before:
pp: c✝ : ℝ
R✝ : Type u_3
inst✝¹ : Ring R✝
v✝ : AbsoluteValue R✝ ℝ
c : ℝ
R : Type u_3
inst✝ : Ring R
v : AbsoluteValue R ℝ
hna : IsNonarchimedean ⇑v
hc : 0 < c
p q : R[X]
hc0 : 0 ≤ c
i : ℕ
hi_p : gaussNorm v c p = v (p.coeff i) * c ^ i
hlt_p : ∀ j < i, v (p.coeff j) * c ^ j < gaussNorm v c p
j : ℕ
hj_q : gaussNorm v c q = v (q.coeff j) * c ^ j
hlt_q : ∀ j_1 < j, v (q.coeff j_1) * c ^ j_1 < gaussNorm v c q
hvpq : v (p.coeff i) ≠ 0 ∧ v (q.coeff j) ≠ 0
this✝¹ : v (p.coeff i) ≠ 0
this✝ : v (q.coeff j) ≠ 0
x : ℕ
hx : x ∈ range (i + j).succ
hneq : x ≠ i
this : x + (i + j - x) = i + j
h✝ : x < i
⊢ v (p.coeff x) * c ^ x * (v (q.coeff (i + j - x)) * c ^ (i + j - x)) ≤ v (p.coeff x) * c ^ x * gaussNorm v c q

Tactic:
by

Goal state after:
Module: Mathlib.RingTheory.Polynomial.GaussNorm

Goal state before:
pp: c✝ : ℝ
R✝ : Type u_3
inst✝¹ : Ring R✝
v✝ : AbsoluteValue R✝ ℝ
c : ℝ
R : Type u_3
inst✝ : Ring R
v : AbsoluteValue R ℝ
hna : IsNonarchimedean ⇑v
hc : 0 < c
p q : R[X]
hc0 : 0 ≤ c
i : ℕ
hi_p : gaussNorm v c p = v (p.coeff i) * c ^ i
hlt_p : ∀ j < i, v (p.coeff j) * c ^ j < gaussNorm v c p
j : ℕ
hj_q : gaussNorm v c q = v (q.coeff j) * c ^ j
hlt_q : ∀ j_1 < j, v (q.coeff j_1) * c ^ j_1 < gaussNorm v c q
hvpq : v (p.coeff i) ≠ 0 ∧ v (q.coeff j) ≠ 0
this✝¹ : v (p.coeff i) ≠ 0
this✝ : v (q.coeff j) ≠ 0
x : ℕ
hx : x ∈ range (i + j).succ
hneq : x ≠ i
this : x + (i + j - x) = i + j
h✝ : x < i
⊢ v (p.coeff x) * c ^ x * gaussNorm v c q = v (p.coeff x) * c ^ x * (v (q.coeff j) * c ^ j)

Tactic:
by

Goal state after:
Module: Mathlib.Analysis.Polynomial.Order

Goal state before:
pp: P : ℝ[X]
x : ℝ
hroots : ∀ (y : ℝ), P.IsRoot y → x < y
hlc : 0 ≤ P.leadingCoeff
hroots' : ∀ (y : ℝ), (P.comp (-X)).IsRoot y → y < -x
⊢ 0 ≤ ↑↑(↑(P.comp (-X)).natDegree).negOnePow * (P.comp (-X)).leadingCoeff

Tactic:
by

Goal state after:
Module: Mathlib.RingTheory.MvPowerSeries.GaussNorm

Goal state before:
pp: R : Type u_1
σ : Type u_2
v : R → ℝ
c : σ → ℝ
inst✝ : Semiring R
f g : MvPowerSeries σ R
hc : 0 ≤ c
vNonneg : ∀ (a : R), v a ≥ 0
vMul : ∀ (a b : R), v (a * b) ≤ v a * v b
vna : IsNonarchimedean v
vZero : v 0 = 0
hbfd : HasGaussNorm v c f
hbgd : HasGaussNorm v c g
t : σ →₀ ℕ
k : (σ →₀ ℕ) × (σ →₀ ℕ)
hk : (Finset.antidiagonal t).Nonempty → k ∈ Finset.antidiagonal t
hsum : v (∑ a ∈ Finset.antidiagonal t, (coeff a.1) f * (coeff a.2) g) ≤ v ((coeff k.1) f * (coeff k.2) g)
⊢ (t, 0) ∈ Finset.antidiagonal t

Tactic:
by

Goal state after:
Module: Mathlib.RingTheory.MvPowerSeries.GaussNorm

Goal state before:
pp: R : Type u_1
σ : Type u_2
v : R → ℝ
c : σ → ℝ
inst✝ : Semiring R
f g : MvPowerSeries σ R
hc : 0 ≤ c
vNonneg : ∀ (a : R), v a ≥ 0
vMul : ∀ (a b : R), v (a * b) ≤ v a * v b
vna : IsNonarchimedean v
vZero : v 0 = 0
hbfd : HasGaussNorm v c f
hbgd : HasGaussNorm v c g
t : σ →₀ ℕ
k : (σ →₀ ℕ) × (σ →₀ ℕ)
hk : (Finset.antidiagonal t).Nonempty → k ∈ Finset.antidiagonal t
hsum : v (∑ a ∈ Finset.antidiagonal t, (coeff a.1) f * (coeff a.2) g) ≤ v ((coeff k.1) f * (coeff k.2) g)
⊢ k.1 + k.2 = t

Tactic:
by

Goal state after:
Module: Mathlib.RingTheory.Polynomial.GaussNorm

Goal state before:
pp: c✝ : ℝ
R✝ : Type u_3
inst✝¹ : Ring R✝
v✝ : AbsoluteValue R✝ ℝ
c : ℝ
R : Type u_3
inst✝ : Ring R
v : AbsoluteValue R ℝ
hna : IsNonarchimedean ⇑v
hc : 0 < c
p q : R[X]
hc0 : 0 ≤ c
i : ℕ
hi_p : gaussNorm v c p = v (p.coeff i) * c ^ i
hlt_p : ∀ j < i, v (p.coeff j) * c ^ j < gaussNorm v c p
j : ℕ
hj_q : gaussNorm v c q = v (q.coeff j) * c ^ j
hlt_q : ∀ j_1 < j, v (q.coeff j_1) * c ^ j_1 < gaussNorm v c q
hvpq : v (p.coeff i) ≠ 0 ∧ v (q.coeff j) ≠ 0
this✝¹ : v (p.coeff i) ≠ 0
this✝ : v (q.coeff j) ≠ 0
x : ℕ
hx : x ∈ range (i + j).succ
hneq : x ≠ i
this : x + (i + j - x) = i + j
h✝ : x < i
⊢ v (p.coeff x) * c ^ x * (v (q.coeff j) * c ^ j) < v (p.coeff i) * c ^ i * (v (q.coeff j) * c ^ j)

Tactic:
by

Goal state after:
Module: Mathlib.RingTheory.MvPowerSeries.GaussNorm

Goal state before:
pp: R : Type u_1
σ : Type u_2
v : R → ℝ
c : σ → ℝ
inst✝ : Semiring R
f g : MvPowerSeries σ R
hc : 0 ≤ c
vNonneg : ∀ (a : R), v a ≥ 0
vMul : ∀ (a b : R), v (a * b) ≤ v a * v b
vna : IsNonarchimedean v
vZero : v 0 = 0
hbfd : HasGaussNorm v c f
hbgd : HasGaussNorm v c g
t : σ →₀ ℕ
k : (σ →₀ ℕ) × (σ →₀ ℕ)
hk : (Finset.antidiagonal t).Nonempty → k ∈ Finset.antidiagonal t
hsum : v (∑ a ∈ Finset.antidiagonal t, (coeff a.1) f * (coeff a.2) g) ≤ v ((coeff k.1) f * (coeff k.2) g)
hk' : k.1 + k.2 = t
⊢ ∀ (a : σ), c a ^ 0 = 1

Tactic:
by

Goal state after:
Module: Mathlib.RingTheory.MvPowerSeries.GaussNorm

Goal state before:
pp: R : Type u_1
σ : Type u_2
v : R → ℝ
c : σ → ℝ
inst✝ : Semiring R
f g : MvPowerSeries σ R
hc : 0 ≤ c
vNonneg : ∀ (a : R), v a ≥ 0
vMul : ∀ (a b : R), v (a * b) ≤ v a * v b
vna : IsNonarchimedean v
vZero : v 0 = 0
hbfd : HasGaussNorm v c f
hbgd : HasGaussNorm v c g
t : σ →₀ ℕ
k : (σ →₀ ℕ) × (σ →₀ ℕ)
hk : (Finset.antidiagonal t).Nonempty → k ∈ Finset.antidiagonal t
hsum : v (∑ a ∈ Finset.antidiagonal t, (coeff a.1) f * (coeff a.2) g) ≤ v ((coeff k.1) f * (coeff k.2) g)
hk' : k.1 + k.2 = t
⊢ ∀ (a : σ) (b₁ b₂ : ℕ), c a ^ (b₁ + b₂) = c a ^ b₁ * c a ^ b₂

Tactic:
by

Goal state after:
Module: Mathlib.RingTheory.MvPowerSeries.GaussNorm

Goal state before:
pp: R : Type u_1
σ : Type u_2
v : R → ℝ
c : σ → ℝ
inst✝ : Semiring R
f g : MvPowerSeries σ R
hc : 0 ≤ c
vNonneg : ∀ (a : R), v a ≥ 0
vMul : ∀ (a b : R), v (a * b) ≤ v a * v b
vna : IsNonarchimedean v
vZero : v 0 = 0
hbfd : HasGaussNorm v c f
hbgd : HasGaussNorm v c g
t : σ →₀ ℕ
k : (σ →₀ ℕ) × (σ →₀ ℕ)
hk : (Finset.antidiagonal t).Nonempty → k ∈ Finset.antidiagonal t
hsum : v (∑ a ∈ Finset.antidiagonal t, (coeff a.1) f * (coeff a.2) g) ≤ v ((coeff k.1) f * (coeff k.2) g)
hk' : k.1 + k.2 = t
⊢ (t.prod fun x1 x2 ↦ c x1 ^ x2) = (k.1.prod fun x1 x2 ↦ c x1 ^ x2) * k.2.prod fun x1 x2 ↦ c x1 ^ x2

Tactic:
by

Goal state after:
Module: Mathlib.Analysis.Polynomial.MahlerMeasure

Goal state before:
pp: ⊢ logMahlerMeasure 0 = 0

Tactic:
by

Goal state after:
Module: Mathlib.Analysis.Polynomial.MahlerMeasure

Goal state before:
pp: ⊢ logMahlerMeasure 1 = 0

Tactic:
by

Goal state after:
Module: Mathlib.Analysis.Polynomial.MahlerMeasure

Goal state before:
pp: z : ℂ
⊢ (C z).logMahlerMeasure = log ‖z‖

Tactic:
by

Goal state after:
Module: Mathlib.Analysis.Polynomial.MahlerMeasure

Goal state before:
pp: ⊢ X.logMahlerMeasure = 0

Tactic:
by

Goal state after:
Module: Mathlib.Analysis.Polynomial.MahlerMeasure

Goal state before:
pp: n : ℕ
z : ℂ
⊢ ((monomial n) z).logMahlerMeasure = log ‖z‖

Tactic:
by

Goal state after:
Module: Mathlib.RingTheory.Polynomial.GaussNorm

Goal state before:
pp: c✝ : ℝ
R✝ : Type u_3
inst✝¹ : Ring R✝
v✝ : AbsoluteValue R✝ ℝ
c : ℝ
R : Type u_3
inst✝ : Ring R
v : AbsoluteValue R ℝ
hna : IsNonarchimedean ⇑v
hc : 0 < c
p q : R[X]
hc0 : 0 ≤ c
i : ℕ
hi_p : gaussNorm v c p = v (p.coeff i) * c ^ i
hlt_p : ∀ j < i, v (p.coeff j) * c ^ j < gaussNorm v c p
j : ℕ
hj_q : gaussNorm v c q = v (q.coeff j) * c ^ j
hlt_q : ∀ j_1 < j, v (q.coeff j_1) * c ^ j_1 < gaussNorm v c q
hvpq : v (p.coeff i) ≠ 0 ∧ v (q.coeff j) ≠ 0
this✝¹ : v (p.coeff i) ≠ 0
this✝ : v (q.coeff j) ≠ 0
x : ℕ
hx : x ∈ range (i + j).succ
hneq : x ≠ i
this : x + (i + j - x) = i + j
h✝ : i < x
⊢ v (p.coeff x) * c ^ x * (v (q.coeff (i + j - x)) * c ^ (i + j - x)) ≤
    gaussNorm v c p * (v (q.coeff (i + j - x)) * c ^ (i + j - x))

Tactic:
by

Goal state after:
Module: Mathlib.Analysis.Polynomial.MahlerMeasure

Goal state before:
pp: p : ℂ[X]
hp : p ≠ 0
⊢ p.mahlerMeasure = rexp ((2 * π)⁻¹ * ∫ (x : ℝ) in 0..2 * π, log ‖eval (circleMap 0 1 x) p‖)

Tactic:
by

Goal state after:
Module: Mathlib.Analysis.Polynomial.Order

Goal state before:
pp: P : ℝ[X]
x : ℝ
hroots : ∀ (y : ℝ), P.IsRoot y → x < y
hlc : 0 ≤ P.leadingCoeff
hroots' : ∀ (y : ℝ), (P.comp (-X)).IsRoot y → y < -x
h : Odd P.natDegree
hlc' : 0 ≤ -(P.comp (-X)).leadingCoeff
this : eval (-x) (P.comp (-X)) < 0
⊢ eval x P < 0

Tactic:
by

Goal state after:
Module: Mathlib.RingTheory.MvPowerSeries.GaussNorm

Goal state before:
pp: R : Type u_1
σ : Type u_2
v : R → ℝ
c : σ → ℝ
inst✝ : Semiring R
f g : MvPowerSeries σ R
hc : 0 ≤ c
vNonneg : ∀ (a : R), v a ≥ 0
vMul : ∀ (a b : R), v (a * b) ≤ v a * v b
vna : IsNonarchimedean v
vZero : v 0 = 0
hbfd : HasGaussNorm v c f
hbgd : HasGaussNorm v c g
t : σ →₀ ℕ
k : (σ →₀ ℕ) × (σ →₀ ℕ)
hk : (Finset.antidiagonal t).Nonempty → k ∈ Finset.antidiagonal t
hsum : v (∑ a ∈ Finset.antidiagonal t, (coeff a.1) f * (coeff a.2) g) ≤ v ((coeff k.1) f * (coeff k.2) g)
hk' : k.1 + k.2 = t
hprod : (t.prod fun x1 x2 ↦ c x1 ^ x2) = (k.1.prod fun x1 x2 ↦ c x1 ^ x2) * k.2.prod fun x1 x2 ↦ c x1 ^ x2
⊢ ((k.1.prod fun x1 x2 ↦ c x1 ^ x2) * k.2.prod fun x1 x2 ↦ c x1 ^ x2) ≤ ?m.199

Tactic:
by

Goal state after:
Module: Mathlib.Analysis.Polynomial.MahlerMeasure

Goal state before:
pp: p : ℂ[X]
⊢ p.logMahlerMeasure = log p.mahlerMeasure

Tactic:
by

Goal state after:
Module: Mathlib.Analysis.Polynomial.MahlerMeasure

Goal state before:
pp: ⊢ mahlerMeasure 0 = 0

Tactic:
by

Goal state after:
Module: Mathlib.Analysis.Polynomial.MahlerMeasure

Goal state before:
pp: ⊢ mahlerMeasure 1 = 1

Tactic:
by

Goal state after:
Module: Mathlib.RingTheory.Polynomial.GaussNorm

Goal state before:
pp: c✝ : ℝ
R✝ : Type u_3
inst✝¹ : Ring R✝
v✝ : AbsoluteValue R✝ ℝ
c : ℝ
R : Type u_3
inst✝ : Ring R
v : AbsoluteValue R ℝ
hna : IsNonarchimedean ⇑v
hc : 0 < c
p q : R[X]
hc0 : 0 ≤ c
i : ℕ
hi_p : gaussNorm v c p = v (p.coeff i) * c ^ i
hlt_p : ∀ j < i, v (p.coeff j) * c ^ j < gaussNorm v c p
j : ℕ
hj_q : gaussNorm v c q = v (q.coeff j) * c ^ j
hlt_q : ∀ j_1 < j, v (q.coeff j_1) * c ^ j_1 < gaussNorm v c q
hvpq : v (p.coeff i) ≠ 0 ∧ v (q.coeff j) ≠ 0
this✝¹ : v (p.coeff i) ≠ 0
this✝ : v (q.coeff j) ≠ 0
x : ℕ
hx : x ∈ range (i + j).succ
hneq : x ≠ i
this : x + (i + j - x) = i + j
h✝ : i < x
⊢ gaussNorm v c p * (v (q.coeff (i + j - x)) * c ^ (i + j - x)) =
    v (p.coeff i) * c ^ i * (v (q.coeff (i + j - x)) * c ^ (i + j - x))

Tactic:
by

Goal state after:
Module: Mathlib.Analysis.Polynomial.MahlerMeasure

Goal state before:
pp: z : ℂ
⊢ (C z).mahlerMeasure = ‖z‖

Tactic:
by

Goal state after:
Module: Mathlib.Analysis.Polynomial.MahlerMeasure

Goal state before:
pp: p : ℂ[X]
⊢ 0 ≤ p.mahlerMeasure

Tactic:
by

Goal state after:
Module: Mathlib.Analysis.Polynomial.MahlerMeasure

Goal state before:
pp: p : ℂ[X]
hp : p ≠ 0
⊢ 0 < p.mahlerMeasure

Tactic:
by

Goal state after:
Module: Mathlib.RingTheory.MvPowerSeries.GaussNorm

Goal state before:
pp: R : Type u_1
σ : Type u_2
v : R → ℝ
c : σ → ℝ
inst✝ : Semiring R
f g : MvPowerSeries σ R
hc : 0 ≤ c
vNonneg : ∀ (a : R), v a ≥ 0
vMul : ∀ (a b : R), v (a * b) ≤ v a * v b
vna : IsNonarchimedean v
vZero : v 0 = 0
hbfd : HasGaussNorm v c f
hbgd : HasGaussNorm v c g
t : σ →₀ ℕ
k : (σ →₀ ℕ) × (σ →₀ ℕ)
hk : (Finset.antidiagonal t).Nonempty → k ∈ Finset.antidiagonal t
hsum : v (∑ a ∈ Finset.antidiagonal t, (coeff a.1) f * (coeff a.2) g) ≤ v ((coeff k.1) f * (coeff k.2) g)
hk' : k.1 + k.2 = t
hprod : (t.prod fun x1 x2 ↦ c x1 ^ x2) = (k.1.prod fun x1 x2 ↦ c x1 ^ x2) * k.2.prod fun x1 x2 ↦ c x1 ^ x2
⊢ ((k.1.prod fun x1 x2 ↦ c x1 ^ x2) * k.2.prod fun x1 x2 ↦ c x1 ^ x2) ≤
    (k.1.prod fun x1 x2 ↦ c x1 ^ x2) * k.2.prod fun x1 x2 ↦ c x1 ^ x2

Tactic:
by

Goal state after:
Module: Mathlib.Analysis.Polynomial.MahlerMeasure

Goal state before:
pp: p : ℂ[X]
⊢ p = 0 → p.mahlerMeasure = 0

Tactic:
by

Goal state after:
Module: Mathlib.Analysis.Polynomial.MahlerMeasure

Goal state before:
pp: p : ℂ[X]
h : ¬p = 0
⊢ ¬p.mahlerMeasure = 0

Tactic:
by

Goal state after:
Module: Mathlib.Analysis.Polynomial.MahlerMeasure

Goal state before:
pp: p : ℂ[X]
⊢ p.mahlerMeasure = 0 ↔ p = 0

Tactic:
by

Goal state after:
Module: Mathlib.Analysis.Polynomial.MahlerMeasure

Goal state before:
pp: p : ℂ[X]
⊢ IntervalIntegrable (fun x ↦ log ‖eval (circleMap 0 1 x) p‖) MeasureTheory.volume 0 (2 * π)

Tactic:
by

Goal state after:
Module: Mathlib.RingTheory.MvPowerSeries.GaussNorm

Goal state before:
pp: R : Type u_1
σ : Type u_2
v : R → ℝ
c : σ → ℝ
inst✝ : Semiring R
f g : MvPowerSeries σ R
hc : 0 ≤ c
vNonneg : ∀ (a : R), v a ≥ 0
vMul : ∀ (a b : R), v (a * b) ≤ v a * v b
vna : IsNonarchimedean v
vZero : v 0 = 0
hbfd : HasGaussNorm v c f
hbgd : HasGaussNorm v c g
t : σ →₀ ℕ
k : (σ →₀ ℕ) × (σ →₀ ℕ)
hk : (Finset.antidiagonal t).Nonempty → k ∈ Finset.antidiagonal t
hsum : v (∑ a ∈ Finset.antidiagonal t, (coeff a.1) f * (coeff a.2) g) ≤ v ((coeff k.1) f * (coeff k.2) g)
hk' : k.1 + k.2 = t
hprod : (t.prod fun x1 x2 ↦ c x1 ^ x2) = (k.1.prod fun x1 x2 ↦ c x1 ^ x2) * k.2.prod fun x1 x2 ↦ c x1 ^ x2
⊢ v ((coeff k.1) f) * v ((coeff k.2) g) * ((k.1.prod fun x1 x2 ↦ c x1 ^ x2) * k.2.prod fun x1 x2 ↦ c x1 ^ x2) =
    (v ((coeff k.1) f) * k.1.prod fun x1 x2 ↦ c x1 ^ x2) * (v ((coeff k.2) g) * k.2.prod fun x1 x2 ↦ c x1 ^ x2)

Tactic:
by

Goal state after:
Module: Mathlib.Analysis.Polynomial.Order

Goal state before:
pp: P : ℝ[X]
x : ℝ
hroots : ∀ (y : ℝ), P.IsRoot y → x < y
hlc : 0 ≤ P.leadingCoeff
⊢ 0 < ↑↑(↑P.natDegree).negOnePow * eval x P

Tactic:
by

Goal state after:
Module: Mathlib.RingTheory.Polynomial.GaussNorm

Goal state before:
pp: c✝ : ℝ
R✝ : Type u_3
inst✝¹ : Ring R✝
v✝ : AbsoluteValue R✝ ℝ
c : ℝ
R : Type u_3
inst✝ : Ring R
v : AbsoluteValue R ℝ
hna : IsNonarchimedean ⇑v
hc : 0 < c
p q : R[X]
hc0 : 0 ≤ c
i : ℕ
hi_p : gaussNorm v c p = v (p.coeff i) * c ^ i
hlt_p : ∀ j < i, v (p.coeff j) * c ^ j < gaussNorm v c p
j : ℕ
hj_q : gaussNorm v c q = v (q.coeff j) * c ^ j
hlt_q : ∀ j_1 < j, v (q.coeff j_1) * c ^ j_1 < gaussNorm v c q
hvpq : v (p.coeff i) ≠ 0 ∧ v (q.coeff j) ≠ 0
this✝¹ : v (p.coeff i) ≠ 0
this✝ : v (q.coeff j) ≠ 0
x : ℕ
hx : x ∈ range (i + j).succ
hneq : x ≠ i
this : x + (i + j - x) = i + j
h✝ : i < x
⊢ v (p.coeff i) * c ^ i * (v (q.coeff (i + j - x)) * c ^ (i + j - x)) < v (p.coeff i) * c ^ i * (v (q.coeff j) * c ^ j)

Tactic:
by

Goal state after:
Module: Mathlib.RingTheory.MvPowerSeries.GaussNorm

Goal state before:
pp: R : Type u_1
σ : Type u_2
v : R → ℝ
c : σ → ℝ
inst✝ : Semiring R
f g : MvPowerSeries σ R
hc : 0 ≤ c
vNonneg : ∀ (a : R), v a ≥ 0
vMul : ∀ (a b : R), v (a * b) ≤ v a * v b
vna : IsNonarchimedean v
vZero : v 0 = 0
hbfd : HasGaussNorm v c f
hbgd : HasGaussNorm v c g
t : σ →₀ ℕ
k : (σ →₀ ℕ) × (σ →₀ ℕ)
hk : (Finset.antidiagonal t).Nonempty → k ∈ Finset.antidiagonal t
hsum : v (∑ a ∈ Finset.antidiagonal t, (coeff a.1) f * (coeff a.2) g) ≤ v ((coeff k.1) f * (coeff k.2) g)
hk' : k.1 + k.2 = t
hprod : (t.prod fun x1 x2 ↦ c x1 ^ x2) = (k.1.prod fun x1 x2 ↦ c x1 ^ x2) * k.2.prod fun x1 x2 ↦ c x1 ^ x2
⊢ v ((coeff k.1) f * (coeff k.2) g) * ((k.1.prod fun x1 x2 ↦ c x1 ^ x2) * k.2.prod fun x1 x2 ↦ c x1 ^ x2) ≤
    (v ((coeff k.1) f) * k.1.prod fun x1 x2 ↦ c x1 ^ x2) * (v ((coeff k.2) g) * k.2.prod fun x1 x2 ↦ c x1 ^ x2)

Tactic:
by

Goal state after:
Module: Mathlib.Analysis.Polynomial.Order

Goal state before:
pp: P : ℝ[X]
x : ℝ
hroots : ∀ (y : ℝ), P.IsRoot y → x ≤ y
hlc : 0 ≤ P.leadingCoeff
⊢ 0 ≤ ↑↑(↑P.natDegree).negOnePow * eval x P

Tactic:
by

Goal state after:
Module: Mathlib.RingTheory.Polynomial.GaussNorm

Goal state before:
pp: c : ℝ
R : Type u_3
inst✝ : Ring R
v : AbsoluteValue R ℝ
hna : IsNonarchimedean ⇑v
hc : 0 < c
p q : R[X]
⊢ gaussNorm v c p * gaussNorm v c q ≤ gaussNorm v c (p * q)

Tactic:
by

Goal state after:
Module: Mathlib.RingTheory.Polynomial.GaussNorm

Goal state before:
pp: c : ℝ
R : Type u_3
inst✝ : Ring R
v : AbsoluteValue R ℝ
hna : IsNonarchimedean ⇑v
hc : 0 < c
p q : R[X]
⊢ gaussNorm v c (p + q) ≤ gaussNorm v c p + gaussNorm v c q

Tactic:
by

Goal state after:
Module: Mathlib.RingTheory.MvPowerSeries.GaussNorm

Goal state before:
pp: R : Type u_1
σ : Type u_2
v : R → ℝ
c : σ → ℝ
inst✝ : Semiring R
f g : MvPowerSeries σ R
hc : 0 ≤ c
vNonneg : ∀ (a : R), v a ≥ 0
vMul : ∀ (a b : R), v (a * b) ≤ v a * v b
vna : IsNonarchimedean v
vZero : v 0 = 0
hbfd : HasGaussNorm v c f
hbgd : HasGaussNorm v c g
⊢ gaussNorm v c (f * g) ≤ gaussNorm v c f * gaussNorm v c g

Tactic:
by

Goal state after:
Module: Mathlib.RingTheory.Polynomial.GaussNorm

Goal state before:
pp: R : Type u_1
F : Type u_2
inst✝³ : Semiring R
inst✝² : FunLike F R ℝ
v : F
c : ℝ
r : R
inst✝¹ : ZeroHomClass F R ℝ
inst✝ : NonnegHomClass F R ℝ
hc : 0 ≤ c
⊢ gaussNorm (⇑v) c (C r) = v r

Tactic:
by

Goal state after:
Module: Mathlib.Analysis.Polynomial.Order

Goal state before:
pp: P : ℝ[X]
x : ℝ
hroots : ∀ (y : ℝ), P.IsRoot y → x < y
hlc : P.leadingCoeff ≤ 0
this : 0 < ↑↑(↑(-P).natDegree).negOnePow * eval x (-P)
⊢ ↑↑(↑P.natDegree).negOnePow * eval x P < 0

Tactic:
by

Goal state after:
Module: Mathlib.RingTheory.Polynomial.GaussNorm

Goal state before:
pp: R : Type u_1
F : Type u_2
inst✝³ : Semiring R
inst✝² : FunLike F R ℝ
v : F
c : ℝ
r : R
inst✝¹ : ZeroHomClass F R ℝ
inst✝ : NonnegHomClass F R ℝ
hc : 0 ≤ c
n : ℕ
⊢ gaussNorm (⇑v) c ((monomial n) r) = v r * c ^ n

Tactic:
by

Goal state after:
Module: Mathlib.RingTheory.MvPowerSeries.GaussNorm

Goal state before:
pp: R : Type u_1
σ : Type u_2
v : R → ℝ
c : σ → ℝ
inst✝ : Ring R
vNeg : ∀ (x : R), v (-x) = v x
f : MvPowerSeries σ R
t : σ →₀ ℕ
⊢ (coeff t) (-f) = -(coeff t) f

Tactic:
by

Goal state after: