Module: Mathlib.Tactic.ComputeAsymptotics.Multiseries.Defs

Goal state before:
pp: case hyp.inr.inl
basis_hd : ℝ → ℝ
basis_tl : Basis
ms✝ : MultiseriesExpansion (basis_hd :: basis_tl)
motive : MultiseriesExpansion (basis_hd :: basis_tl) → Prop
h_base : motive ms✝
h_step✝ :
  ∀ (ms : MultiseriesExpansion (basis_hd :: basis_tl)),
    motive ms →
      ms.seq = Multiseries.nil ∧ ms.toFun =ᶠ[atTop] 0 ∨
        ∃ exp coef tl,
          ms.seq = Multiseries.cons exp coef tl ∧
            coef.Approximates ∧
              Majorized ms.toFun basis_hd exp ∧ motive (mk tl (ms.toFun - basis_hd ^ exp * coef.toFun))
ms : MultiseriesExpansion (basis_hd :: basis_tl)
h_ms : motive ms
h_step : ms.seq = Multiseries.nil ∧ ms.toFun =ᶠ[atTop] 0
⊢ ms.toFun =ᶠ[atTop] 0 ∧ ms.seq = Multiseries.nil ∨
    ∃ basis_hd_1 f basis_tl_1 exp coef,
      (coef.Approximates ∨ ∃ (h_basis : basis_tl_1 = basis_hd :: basis_tl), motive (h_basis ▸ coef)) ∧
        Majorized f basis_hd_1 exp ∧
          ∃ x,
            ((mk x (f - basis_hd_1 ^ exp * coef.toFun)).Approximates ∨
                ∃ (h : basis_hd_1 = basis_hd ∧ basis_tl_1 = basis_tl),
                  motive (⋯ ▸ mk x (f - basis_hd_1 ^ exp * coef.toFun))) ∧
              (basis_hd = basis_hd_1 ∧ basis_tl = basis_tl_1) ∧ ms ≍ mk (Multiseries.cons exp coef x) f

pp: case hyp.inr.inr
basis_hd : ℝ → ℝ
basis_tl : Basis
ms✝ : MultiseriesExpansion (basis_hd :: basis_tl)
motive : MultiseriesExpansion (basis_hd :: basis_tl) → Prop
h_base : motive ms✝
h_step :
  ∀ (ms : MultiseriesExpansion (basis_hd :: basis_tl)),
    motive ms →
      ms.seq = Multiseries.nil ∧ ms.toFun =ᶠ[atTop] 0 ∨
        ∃ exp coef tl,
          ms.seq = Multiseries.cons exp coef tl ∧
            coef.Approximates ∧
              Majorized ms.toFun basis_hd exp ∧ motive (mk tl (ms.toFun - basis_hd ^ exp * coef.toFun))
ms : MultiseriesExpansion (basis_hd :: basis_tl)
h_ms : motive ms
exp : ℝ
coef : MultiseriesExpansion basis_tl
tl : Multiseries basis_hd basis_tl
h_seq : ms.seq = Multiseries.cons exp coef tl
h_coef : coef.Approximates
h_maj : Majorized ms.toFun basis_hd exp
h_tl : motive (mk tl (ms.toFun - basis_hd ^ exp * coef.toFun))
⊢ ms.toFun =ᶠ[atTop] 0 ∧ ms.seq = Multiseries.nil ∨
    ∃ basis_hd_1 f basis_tl_1 exp coef,
      (coef.Approximates ∨ ∃ (h_basis : basis_tl_1 = basis_hd :: basis_tl), motive (h_basis ▸ coef)) ∧
        Majorized f basis_hd_1 exp ∧
          ∃ x,
            ((mk x (f - basis_hd_1 ^ exp * coef.toFun)).Approximates ∨
                ∃ (h : basis_hd_1 = basis_hd ∧ basis_tl_1 = basis_tl),
                  motive (⋯ ▸ mk x (f - basis_hd_1 ^ exp * coef.toFun))) ∧
              (basis_hd = basis_hd_1 ∧ basis_tl = basis_tl_1) ∧ ms ≍ mk (Multiseries.cons exp coef x) f

Tactic:
·

Goal state after:
case hyp.inr.inl
basis_hd : ℝ → ℝ
basis_tl : Basis
ms✝ : MultiseriesExpansion (basis_hd :: basis_tl)
motive : MultiseriesExpansion (basis_hd :: basis_tl) → Prop
h_base : motive ms✝
h_step✝ :
  ∀ (ms : MultiseriesExpansion (basis_hd :: basis_tl)),
    motive ms →
      ms.seq = Multiseries.nil ∧ ms.toFun =ᶠ[atTop] 0 ∨
        ∃ exp coef tl,
          ms.seq = Multiseries.cons exp coef tl ∧
            coef.Approximates ∧
              Majorized ms.toFun basis_hd exp ∧ motive (mk tl (ms.toFun - basis_hd ^ exp * coef.toFun))
ms : MultiseriesExpansion (basis_hd :: basis_tl)
h_ms : motive ms
h_step : ms.seq = Multiseries.nil ∧ ms.toFun =ᶠ[atTop] 0
⊢ ms.toFun =ᶠ[atTop] 0 ∧ ms.seq = Multiseries.nil ∨
    ∃ basis_hd_1 f basis_tl_1 exp coef,
      (coef.Approximates ∨ ∃ (h_basis : basis_tl_1 = basis_hd :: basis_tl), motive (h_basis ▸ coef)) ∧
        Majorized f basis_hd_1 exp ∧
          ∃ x,
            ((mk x (f - basis_hd_1 ^ exp * coef.toFun)).Approximates ∨
                ∃ (h : basis_hd_1 = basis_hd ∧ basis_tl_1 = basis_tl),
                  motive (⋯ ▸ mk x (f - basis_hd_1 ^ exp * coef.toFun))) ∧
              (basis_hd = basis_hd_1 ∧ basis_tl = basis_tl_1) ∧ ms ≍ mk (Multiseries.cons exp coef x) f