Theorem: PadicSeq.norm_nonarchimedean_aux
File: Mathlib/NumberTheory/Padics/PadicNumbers.lean

tactic: unfold norm
state_before: p : ℕ
hp : Fact (Nat.Prime p)
f g : PadicSeq p
hfg : ¬f + g ≈ 0
hf : ¬f ≈ 0
hg : ¬g ≈ 0
⊢ (f + g).norm ≤ max f.norm g.norm
state_after: p : ℕ
hp : Fact (Nat.Prime p)
f g : PadicSeq p
hfg : ¬f + g ≈ 0
hf : ¬f ≈ 0
hg : ¬g ≈ 0
⊢ (if hf : f + g ≈ 0 then 0 else padicNorm p (↑(f + g) (stationaryPoint hf))) ≤
    max (if hf : f ≈ 0 then 0 else padicNorm p (↑f (stationaryPoint hf)))
      (if hf : g ≈ 0 then 0 else padicNorm p (↑g (stationaryPoint hf)))

tactic: split_ifs
state_before: p : ℕ
hp : Fact (Nat.Prime p)
f g : PadicSeq p
hfg : ¬f + g ≈ 0
hf : ¬f ≈ 0
hg : ¬g ≈ 0
⊢ (if hf : f + g ≈ 0 then 0 else padicNorm p (↑(f + g) (stationaryPoint hf))) ≤
    max (if hf : f ≈ 0 then 0 else padicNorm p (↑f (stationaryPoint hf)))
      (if hf : g ≈ 0 then 0 else padicNorm p (↑g (stationaryPoint hf)))
state_after: p : ℕ
hp : Fact (Nat.Prime p)
f g : PadicSeq p
hfg : ¬f + g ≈ 0
hf : ¬f ≈ 0
hg : ¬g ≈ 0
⊢ padicNorm p (↑(f + g) (stationaryPoint hfg)) ≤
    max (padicNorm p (↑f (stationaryPoint hf))) (padicNorm p (↑g (stationaryPoint hg)))

tactic: rw [lift_index_left_left hfg, lift_index_left hf, lift_index_right hg]
state_before: p : ℕ
hp : Fact (Nat.Prime p)
f g : PadicSeq p
hfg : ¬f + g ≈ 0
hf : ¬f ≈ 0
hg : ¬g ≈ 0
⊢ padicNorm p (↑(f + g) (stationaryPoint hfg)) ≤
    max (padicNorm p (↑f (stationaryPoint hf))) (padicNorm p (↑g (stationaryPoint hg)))
state_after: p : ℕ
hp : Fact (Nat.Prime p)
f g : PadicSeq p
hfg : ¬f + g ≈ 0
hf : ¬f ≈ 0
hg : ¬g ≈ 0
⊢ padicNorm p (↑(f + g) (max (stationaryPoint hfg) (max ?v2 ?v3))) ≤
    max (padicNorm p (↑f (max ?v1 (max (stationaryPoint hf) ?v3))))
      (padicNorm p (↑g (max ?v1 (max ?v2 (stationaryPoint hg)))))

case v1
p : ℕ
hp : Fact (Nat.Prime p)
f g : PadicSeq p
hfg : ¬f + g ≈ 0
hf : ¬f ≈ 0
hg : ¬g ≈ 0
⊢ ℕ

case v2
p : ℕ
hp : Fact (Nat.Prime p)
f g : PadicSeq p
hfg : ¬f + g ≈ 0
hf : ¬f ≈ 0
hg : ¬g ≈ 0
⊢ ℕ

case v1
p : ℕ
hp : Fact (Nat.Prime p)
f g : PadicSeq p
hfg : ¬f + g ≈ 0
hf : ¬f ≈ 0
hg : ¬g ≈ 0
⊢ ℕ

case v3
p : ℕ
hp : Fact (Nat.Prime p)
f g : PadicSeq p
hfg : ¬f + g ≈ 0
hf : ¬f ≈ 0
hg : ¬g ≈ 0
⊢ ℕ

case v2
p : ℕ
hp : Fact (Nat.Prime p)
f g : PadicSeq p
hfg : ¬f + g ≈ 0
hf : ¬f ≈ 0
hg : ¬g ≈ 0
⊢ ℕ

case v3
p : ℕ
hp : Fact (Nat.Prime p)
f g : PadicSeq p
hfg : ¬f + g ≈ 0
hf : ¬f ≈ 0
hg : ¬g ≈ 0
⊢ ℕ

tactic: apply padicNorm.nonarchimedean
state_before: p : ℕ
hp : Fact (Nat.Prime p)
f g : PadicSeq p
hfg : ¬f + g ≈ 0
hf : ¬f ≈ 0
hg : ¬g ≈ 0
⊢ padicNorm p (↑(f + g) (max (stationaryPoint hfg) (max ?v2 ?v3))) ≤
    max (padicNorm p (↑f (max ?v1 (max (stationaryPoint hf) ?v3))))
      (padicNorm p (↑g (max ?v1 (max ?v2 (stationaryPoint hg)))))

case v1
p : ℕ
hp : Fact (Nat.Prime p)
f g : PadicSeq p
hfg : ¬f + g ≈ 0
hf : ¬f ≈ 0
hg : ¬g ≈ 0
⊢ ℕ

case v2
p : ℕ
hp : Fact (Nat.Prime p)
f g : PadicSeq p
hfg : ¬f + g ≈ 0
hf : ¬f ≈ 0
hg : ¬g ≈ 0
⊢ ℕ

case v1
p : ℕ
hp : Fact (Nat.Prime p)
f g : PadicSeq p
hfg : ¬f + g ≈ 0
hf : ¬f ≈ 0
hg : ¬g ≈ 0
⊢ ℕ

case v3
p : ℕ
hp : Fact (Nat.Prime p)
f g : PadicSeq p
hfg : ¬f + g ≈ 0
hf : ¬f ≈ 0
hg : ¬g ≈ 0
⊢ ℕ

case v2
p : ℕ
hp : Fact (Nat.Prime p)
f g : PadicSeq p
hfg : ¬f + g ≈ 0
hf : ¬f ≈ 0
hg : ¬g ≈ 0
⊢ ℕ

case v3
p : ℕ
hp : Fact (Nat.Prime p)
f g : PadicSeq p
hfg : ¬f + g ≈ 0
hf : ¬f ≈ 0
hg : ¬g ≈ 0
⊢ ℕ
state_after: no goals