dalek-ed25519-verified/verification/Proofs/DsmStepSpec.lean

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Double-scalar-mul proof campaign, bricks 1-3: table, digit step, loop Three new proof files over the CurveField extraction, composing the proven group-law layer (no new axioms, no associativity assumed — computational layering over the abstract `edAdd`): - `Proofs/DsmTableSpec.lean` — `NafLookupTable5::from(&A)`: the 8 entries are valid `ProjectiveNielsPoint` caches of valid on-curve points denoting the odd multiples A, 3A, ..., 15A as the `edOdd` double-and-add recursion. 7 explicit loop peels over edwards_as_projective_niels_spec / add_projniels_law / compl_as_extended_law, seeded by edwards_double_law. `select`: both masserts (x odd, x < 16) DISCHARGED — panic-freedom is proven, not assumed; post enumerates all 8 digit cases. - `Proofs/DsmStepSpec.lean` — `proj_double_law` (the projective doubling denotes `edAdd P P`; same Z^2-scaled linear_combination discipline as the extended-coordinate law), `compl_as_projective_law` ((X:Z),(Y:T) to (XT:YZ:ZT) preserves the point), `naf_select_entry` (digit-indexed lookup returns THE entry: NafEntryOf r A ((x-1)/2)), and `dsm_step_p_law` / `dsm_step_b_law`: the three-way NAF digit step denotes `edDigit` — add the d-th odd multiple, add its negation, or pass through. - `Proofs/DsmLoopSpec.lean` — the 256-iteration Straus loop by GENUINE induction on the counter (one symbolic body walk, no unrolling): `dsm_loop_spec` — from the identity, the loop returns a valid on-curve point denoting `dsmFold ... edId 256`, the abstract double-and-add fold of both digit arrays over the table points. Digit and table hypotheses are exactly what the NAF spec and naf_table_spec provide (layering). check.sh wired: PROOFS + AUDIT_IMPORTS + 7 new CERTS (naf_table_spec, naf_select_spec, proj_double_law, compl_as_projective_law, dsm_step_p_law, dsm_step_b_law, dsm_loop_spec), each `#print axioms`-audited to exactly [propext, Classical.choice, Quot.sound]. Full check.sh green. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-07-04 13:30:18 +00:00
/- ──────────────────────────────────────────────────────────────────────────────
Proofs/DsmStepSpec.lean — double-scalar-mul campaign, brick 2:
the per-digit step of the Straus/NAF loop.
vartime_double_base's loop body is
t = r.double(); t = dsm_step_p(t, table_a, a_naf[i]);
t = dsm_step_b(t, table_b, b_naf[i]); r = t.as_projective();
This file proves the three non-loop ingredients as LAWS over the abstract
Edwards addition (computational layering, no associativity):
· `proj_double_law` — ProjectivePoint::double denotes edAdd P P
(lift of the coordinate-level proj_double_spec,
same Z²-scaled linear_combination discipline as
edwards_double_law's Z⁴ one).
· `compl_as_projective_law` — CompletedPoint::as_projective preserves the
denoted affine point ((X:Z),(Y:T)) ↦ (XT:YZ:ZT).
· `naf_select_entry` — select on a table with proven entries returns
THE entry for the digit: NafEntryOf r A ((x1)/2).
· `dsm_step_p_law`/`dsm_step_b_law` — the three-way digit step denotes
`edDigit`: add the (+d)-th odd multiple, add the
negation of the (d)-th, or pass through.
The digit hypotheses (odd-or-zero, |d| < 16) are exactly what the NAF
digit spec will provide; they are taken as hypotheses here (layering).
────────────────────────────────────────────────────────────────────────────── -/
import Proofs.DsmTableSpec
open Aeneas Aeneas.Std Result ControlFlow
open curve25519_dalek
set_option maxHeartbeats 8000000
set_option linter.unusedSimpArgs false
set_option maxRecDepth 8000
namespace CurveFieldProofs
open Aeneas.Std.WP
/-! ### Projective coordinate plumbing -/
/-- ⟪X⟫ = x·⟪Z⟫ for a projective point with ⟪Z⟫ ≠ 0 (x := projX). -/
theorem proj_X_eq (p : ProjPoint) (hZ0 : ⟪p.Z⟫ ≠ 0) : ⟪p.X⟫ = projX p * ⟪p.Z⟫ := by
unfold projX
field_simp
/-- ⟪Y⟫ = y·⟪Z⟫ for a projective point with ⟪Z⟫ ≠ 0 (y := projY). -/
theorem proj_Y_eq (p : ProjPoint) (hZ0 : ⟪p.Z⟫ ≠ 0) : ⟪p.Y⟫ = projY p * ⟪p.Z⟫ := by
unfold projY
field_simp
/-- **ProjectivePoint::double denotes the Edwards doubling law.**
MATH: for a valid projective point P on the curve, `double` returns a
completed point t with 2⁵⁴-bounded limbs, unit denominators, and
(complX t, complY t) = edAdd (projX P, projY P) (projX P, projY P).
Same derivation as `edwards_double_law` with Z² in place of Z⁴:
the curve equation turns Y²X² into Z²·(1+D) and 2Z²(Y²X²) into
Z²·(1D), both nonzero by completeness at the diagonal. -/
theorem proj_double_law (p : ProjPoint) (hp : ProjValid p)
(hcp : OnCurve (projX p) (projY p)) :
backend.serial.curve_models.ProjectivePoint.double p ⦃ t =>
Bnd t.X (2^54) ∧ Bnd t.Y (2^54) ∧ Bnd t.Z (2^54) ∧ Bnd t.T (2^54) ∧
⟪t.Z⟫ ≠ 0 ∧ ⟪t.T⟫ ≠ 0 ∧
complX t = (edAdd (projX p, projY p) (projX p, projY p)).1 ∧
complY t = (edAdd (projX p, projY p) (projX p, projY p)).2 ⦄ := by
apply spec_mono (proj_double_spec p hp)
rintro t ⟨hbX, hbY, hbZ, hbT, hvX, hvY, hvZ, hvT⟩
obtain ⟨-, -, -, hZ0⟩ := hp
obtain ⟨hp1, hm1⟩ := completeness hcp hcp
have hX := proj_X_eq p hZ0
have hY := proj_Y_eq p hZ0
have hZ2 : ⟪p.Z⟫^2 ≠ 0 := pow_ne_zero 2 hZ0
-- the curve equation in doubling-friendly form
have hcur : projY p ^ 2 - projX p ^ 2
= 1 + edD * projX p * projX p * projY p * projY p := by
have h := hcp
unfold OnCurve at h
linear_combination h
-- the four coordinates, Z²-scaled
have eX : ⟪t.X⟫ = ⟪p.Z⟫^2 * (projX p * projY p + projX p * projY p) := by
rw [hvX, hX, hY]; ring
have eY : ⟪t.Y⟫ = ⟪p.Z⟫^2 * (projY p * projY p + projX p * projX p) := by
rw [hvY, hX, hY]; ring
have eZ : ⟪t.Z⟫ = ⟪p.Z⟫^2 *
(1 + edD * projX p * projX p * projY p * projY p) := by
rw [hvZ, hX, hY]
linear_combination ⟪p.Z⟫^2 * hcur
have eT : ⟪t.T⟫ = ⟪p.Z⟫^2 *
(1 - edD * projX p * projX p * projY p * projY p) := by
rw [hvT, hX, hY]
linear_combination (-(⟪p.Z⟫^2)) * hcur
have hZne : ⟪t.Z⟫ ≠ 0 := by rw [eZ]; exact mul_ne_zero hZ2 hp1
have hTne : ⟪t.T⟫ ≠ 0 := by rw [eT]; exact mul_ne_zero hZ2 hm1
refine ⟨hbX.mono (by norm_num), hbY.mono (by norm_num),
hbZ.mono (by norm_num), hbT.mono (by norm_num), hZne, hTne, ?_, ?_⟩
· show ⟪t.X⟫ / ⟪t.Z⟫ = (projX p * projY p + projX p * projY p) /
(1 + edD * projX p * projX p * projY p * projY p)
rw [fp_div_eq_div_iff hZne hp1, eX, eZ]
ring
· show ⟪t.Y⟫ / ⟪t.T⟫ = (projY p * projY p + projX p * projX p) /
(1 - edD * projX p * projX p * projY p * projY p)
rw [fp_div_eq_div_iff hTne hm1, eY, eT]
ring
/-- **CompletedPoint::as_projective preserves the denoted point.**
MATH: ((X:Z),(Y:T)) ↦ (XT : YZ : ZT) — with ⟪Z⟫,⟪T⟫ ≠ 0 the new
denominator ZT is a unit and XT/ZT = X/Z, YZ/ZT = Y/T. -/
theorem compl_as_projective_law (p : ComplPoint)
(hbX : Bnd p.X (2^54)) (hbY : Bnd p.Y (2^54))
(hbZ : Bnd p.Z (2^54)) (hbT : Bnd p.T (2^54))
(hZ0 : ⟪p.Z⟫ ≠ 0) (hT0 : ⟪p.T⟫ ≠ 0) :
backend.serial.curve_models.CompletedPoint.as_projective p ⦃ r =>
ProjValid r ∧ projX r = complX p ∧ projY r = complY p ⦄ := by
unfold backend.serial.curve_models.CompletedPoint.as_projective
step with (mul_spec' _ _ hbX hbT) as ⟨fe, feb, fev⟩
step with (mul_spec' _ _ hbY hbZ) as ⟨fe1, fe1b, fe1v⟩
step with (mul_spec' _ _ hbZ hbT) as ⟨fe2, fe2b, fe2v⟩
try simp only [spec_ok]
refine ⟨⟨feb.mono (by norm_num), fe1b.mono (by norm_num),
fe2b.mono (by norm_num), ?_⟩, ?_, ?_⟩
· show ⟪fe2⟫ ≠ 0
rw [fe2v]; exact mul_ne_zero hZ0 hT0
· show ⟪fe⟫ / ⟪fe2⟫ = ⟪p.X⟫ / ⟪p.Z⟫
rw [fev, fe2v, mul_div_mul_right _ _ hT0]
· show ⟪fe1⟫ / ⟪fe2⟫ = ⟪p.Y⟫ / ⟪p.T⟫
rw [fe1v, fe2v, mul_comm ⟪p.Z⟫ ⟪p.T⟫, mul_div_mul_right _ _ hZ0]
/-! ### Digit-indexed table lookup -/
/-- select on a table with proven entries returns THE entry for the digit:
for odd x < 16, the result is a valid cache of the ((x1)/2)-th odd
multiple of A. -/
theorem naf_select_entry
(tbl : window.NafLookupTable5 backend.serial.curve_models.ProjectiveNielsPoint)
(x : Usize) (A : EdPoint)
(e0 e1 e2 e3 e4 e5 e6 e7 : backend.serial.curve_models.ProjectiveNielsPoint)
(hl : tblEntries tbl = [e0, e1, e2, e3, e4, e5, e6, e7])
(h0 : NafEntryOf e0 A 0) (h1 : NafEntryOf e1 A 1) (h2 : NafEntryOf e2 A 2)
(h3 : NafEntryOf e3 A 3) (h4 : NafEntryOf e4 A 4) (h5 : NafEntryOf e5 A 5)
(h6 : NafEntryOf e6 A 6) (h7 : NafEntryOf e7 A 7)
(hodd : x.val % 2 = 1) (hlt : x.val < 16) :
window.NafLookupTable5.select
backend.serial.curve_models.ProjectiveNielsPoint.Insts.CoreMarkerCopy tbl x
⦃ r => NafEntryOf r A ((x.val - 1) / 2) ⦄ := by
apply spec_mono (naf_select_spec tbl x e0 e1 e2 e3 e4 e5 e6 e7 hl hodd hlt)
rintro r ⟨i1, i3, i5, i7, i9, i11, i13, i15⟩
have hx : x.val = 1 x.val = 3 x.val = 5 x.val = 7 x.val = 9
x.val = 11 x.val = 13 x.val = 15 := by omega
rcases hx with hx | hx | hx | hx | hx | hx | hx | hx
· rw [i1 hx, hx]; exact h0
· rw [i3 hx, hx]; exact h1
· rw [i5 hx, hx]; exact h2
· rw [i7 hx, hx]; exact h3
· rw [i9 hx, hx]; exact h4
· rw [i11 hx, hx]; exact h5
· rw [i13 hx, hx]; exact h6
· rw [i15 hx, hx]; exact h7
/-! ### The abstract digit step -/
/-- One NAF digit's action on the accumulator: add the d-th odd multiple of
the base (d > 0), add its negation (d < 0), or pass through (d = 0) —
over the abstract `edAdd`, no associativity. -/
noncomputable def edDigit (aPt : Fp × Fp) (d : ) (P : Fp × Fp) : Fp × Fp :=
if 0 < d then edAdd P (edOdd ((d.toNat - 1) / 2) aPt)
else if d < 0 then edAdd P (edNeg (edOdd (((-d).toNat - 1) / 2) aPt))
else P
/-- **The digit step denotes `edDigit`.**
Given a bounded, unit-denominator completed accumulator t denoting an
on-curve point, a table whose entries are proven caches of odd multiples
of A, and a NAF digit (odd or zero, |d| < 16): `dsm_step_p` returns a
completed point with the same validity shape denoting
`edDigit (edPt A) d.val (complX t, complY t)`. The `select` masserts
(panic freedom) are discharged, not assumed. -/
theorem dsm_step_p_law (t : ComplPoint)
(tbl : window.NafLookupTable5 backend.serial.curve_models.ProjectiveNielsPoint)
(d : Std.I8) (A : EdPoint)
(e0 e1 e2 e3 e4 e5 e6 e7 : backend.serial.curve_models.ProjectiveNielsPoint)
(hl : tblEntries tbl = [e0, e1, e2, e3, e4, e5, e6, e7])
(h0 : NafEntryOf e0 A 0) (h1 : NafEntryOf e1 A 1) (h2 : NafEntryOf e2 A 2)
(h3 : NafEntryOf e3 A 3) (h4 : NafEntryOf e4 A 4) (h5 : NafEntryOf e5 A 5)
(h6 : NafEntryOf e6 A 6) (h7 : NafEntryOf e7 A 7)
(hbX : Bnd t.X (2^54)) (hbY : Bnd t.Y (2^54))
(hbZ : Bnd t.Z (2^54)) (hbT : Bnd t.T (2^54))
(hZ0 : ⟪t.Z⟫ ≠ 0) (hT0 : ⟪t.T⟫ ≠ 0)
(hct : OnCurve (complX t) (complY t))
(hd : d.val = 0 d.val % 2 = 1) (hdlo : -16 < d.val) (hdhi : d.val < 16) :
backend.serial.scalar_mul.vartime_double_base.dsm_step_p t tbl d ⦃ r =>
Bnd r.X (2^54) ∧ Bnd r.Y (2^54) ∧ Bnd r.Z (2^54) ∧ Bnd r.T (2^54) ∧
⟪r.Z⟫ ≠ 0 ∧ ⟪r.T⟫ ≠ 0 ∧
OnCurve (complX r) (complY r) ∧
(complX r, complY r) = edDigit (edPt A) d.val (complX t, complY t) ⦄ := by
unfold backend.serial.scalar_mul.vartime_double_base.dsm_step_p
split
· -- d > 0: add the d-th odd multiple
rename_i hdpos
have hdposv : (0:) < d.val := by clear * - hdpos; scalar_tac
-- ep ← t.as_extended
step with (compl_as_extended_law t hbX hbY hbZ hbT hZ0 hT0) as ⟨ep, hepv, hepx, hepy⟩
have hepc : OnCurveExt ep := by
show OnCurve (edX ep) (edY ep)
rw [hepx, hepy]; exact hct
have hept : edPt ep = (complX t, complY t) := by
calc edPt ep = (edX ep, edY ep) := rfl
_ = (complX t, complY t) := by rw [hepx, hepy]
-- i ← d as usize (in-bounds: 0 < d < 16)
step with (IScalar.hcast_inBounds_spec .Usize d
(by clear * - hdposv hdhi; scalar_tac)) as ⟨i, hi⟩
have hiv : i.val = d.val.toNat := by clear * - hi hdposv; omega
have hiodd : i.val % 2 = 1 := by clear * - hiv hd hdposv; omega
have hilt : i.val < 16 := by clear * - hiv hdhi hdposv; omega
-- pnp ← select tbl i (the ((i1)/2)-th odd multiple's cache)
step with (naf_select_entry tbl i A e0 e1 e2 e3 e4 e5 e6 e7 hl
h0 h1 h2 h3 h4 h5 h6 h7 hiodd hilt) as ⟨pnp, hpnp⟩
obtain ⟨hpv, Q, hpn, hQv, hQc, hQpt⟩ := hpnp
-- r ← ep + pnp (the mixed-add kernel law)
apply spec_mono (add_projniels_law ep pnp hpn hepv hQv hepc hQc hpv)
rintro r ⟨rbX, rbY, rbZ, rbT, rz, rt, rx, ry⟩
have hcr : OnCurve (complX r) (complY r) := by
rw [rx, ry]
exact edAdd_closure (show OnCurve (edX ep) (edY ep) from hepc)
(show OnCurve (edX Q) (edY Q) from hQc)
refine ⟨rbX.mono (by norm_num), rbY.mono (by norm_num), rbZ,
rbT.mono (by norm_num), rz, rt, hcr, ?_⟩
have hk : (i.val - 1) / 2 = (d.val.toNat - 1) / 2 := by
clear * - hiv; omega
simp only [edDigit, if_pos hdposv]
calc (complX r, complY r)
= ((edAdd (edPt ep) (edPt Q)).1, (edAdd (edPt ep) (edPt Q)).2) := by
rw [rx, ry]
_ = edAdd (edPt ep) (edPt Q) := rfl
_ = edAdd (complX t, complY t) (edOdd ((d.val.toNat - 1) / 2) (edPt A)) := by
rw [hept, hQpt, hk]
· -- d < 0 or d = 0
split
· -- d < 0: add the negation of the (d)-th odd multiple
rename_i hdneg
have hdnegv : d.val < 0 := by clear * - hdneg; scalar_tac
-- ep ← t.as_extended
step with (compl_as_extended_law t hbX hbY hbZ hbT hZ0 hT0) as ⟨ep, hepv, hepx, hepy⟩
have hepc : OnCurveExt ep := by
show OnCurve (edX ep) (edY ep)
rw [hepx, hepy]; exact hct
have hept : edPt ep = (complX t, complY t) := by
calc edPt ep = (edX ep, edY ep) := rfl
_ = (complX t, complY t) := by rw [hepx, hepy]
-- i ← d; i1 ← i as usize
step as ⟨i, hi⟩
have hiv : i.val = -d.val := by clear * - hi hdnegv hdlo; scalar_tac
step with (IScalar.hcast_inBounds_spec .Usize i
(by clear * - hiv hdnegv hdlo; scalar_tac)) as ⟨i1, hi1⟩
have hi1v : i1.val = (-d.val).toNat := by clear * - hi1 hiv hdnegv; omega
have hiodd : i1.val % 2 = 1 := by clear * - hi1v hd hdnegv; omega
have hilt : i1.val < 16 := by clear * - hi1v hdlo hdnegv; omega
-- pnp ← select tbl i1
step with (naf_select_entry tbl i1 A e0 e1 e2 e3 e4 e5 e6 e7 hl
h0 h1 h2 h3 h4 h5 h6 h7 hiodd hilt) as ⟨pnp, hpnp⟩
obtain ⟨hpv, Q, hpn, hQv, hQc, hQpt⟩ := hpnp
-- r ← ep pnp (the mixed-sub kernel law)
apply spec_mono (sub_projniels_law ep pnp hpn hepv hQv hepc hQc hpv)
rintro r ⟨rbX, rbY, rbZ, rbT, rz, rt, rx, ry⟩
have hcr : OnCurve (complX r) (complY r) := by
rw [rx, ry]
exact edAdd_closure (show OnCurve (edX ep) (edY ep) from hepc)
(onCurve_neg (show OnCurve (edX Q) (edY Q) from hQc))
refine ⟨rbX.mono (by norm_num), rbY.mono (by norm_num),
rbZ.mono (by norm_num), rbT, rz, rt, hcr, ?_⟩
have hk : (i1.val - 1) / 2 = ((-d.val).toNat - 1) / 2 := by
clear * - hi1v; omega
have hnpos : ¬ ((0:) < d.val) := by clear * - hdnegv; omega
simp only [edDigit, if_neg hnpos, if_pos hdnegv]
calc (complX r, complY r)
= ((edAdd (edPt ep) (edNeg (edPt Q))).1,
(edAdd (edPt ep) (edNeg (edPt Q))).2) := by
rw [rx, ry]
_ = edAdd (edPt ep) (edNeg (edPt Q)) := rfl
_ = edAdd (complX t, complY t)
(edNeg (edOdd (((-d.val).toNat - 1) / 2) (edPt A))) := by
rw [hept, hQpt, hk]
· -- d = 0: pass through
rename_i hnpos hnneg
have h0v : d.val = 0 := by clear * - hnpos hnneg; scalar_tac
try simp only [spec_ok]
have hzero : ¬ ((0:) < d.val) ∧ ¬ (d.val < 0) := by
clear * - h0v; omega
refine ⟨hbX, hbY, hbZ, hbT, hZ0, hT0, hct, ?_⟩
simp only [edDigit, if_neg hzero.1, if_neg hzero.2]
/-- `dsm_step_b` delegates to `dsm_step_p` (both tables are runtime
`NafLookupTable5<ProjectiveNielsPoint>` in this extraction). -/
theorem dsm_step_b_law (t : ComplPoint)
(tbl : window.NafLookupTable5 backend.serial.curve_models.ProjectiveNielsPoint)
(d : Std.I8) (A : EdPoint)
(e0 e1 e2 e3 e4 e5 e6 e7 : backend.serial.curve_models.ProjectiveNielsPoint)
(hl : tblEntries tbl = [e0, e1, e2, e3, e4, e5, e6, e7])
(h0 : NafEntryOf e0 A 0) (h1 : NafEntryOf e1 A 1) (h2 : NafEntryOf e2 A 2)
(h3 : NafEntryOf e3 A 3) (h4 : NafEntryOf e4 A 4) (h5 : NafEntryOf e5 A 5)
(h6 : NafEntryOf e6 A 6) (h7 : NafEntryOf e7 A 7)
(hbX : Bnd t.X (2^54)) (hbY : Bnd t.Y (2^54))
(hbZ : Bnd t.Z (2^54)) (hbT : Bnd t.T (2^54))
(hZ0 : ⟪t.Z⟫ ≠ 0) (hT0 : ⟪t.T⟫ ≠ 0)
(hct : OnCurve (complX t) (complY t))
(hd : d.val = 0 d.val % 2 = 1) (hdlo : -16 < d.val) (hdhi : d.val < 16) :
backend.serial.scalar_mul.vartime_double_base.dsm_step_b t tbl d ⦃ r =>
Bnd r.X (2^54) ∧ Bnd r.Y (2^54) ∧ Bnd r.Z (2^54) ∧ Bnd r.T (2^54) ∧
⟪r.Z⟫ ≠ 0 ∧ ⟪r.T⟫ ≠ 0 ∧
OnCurve (complX r) (complY r) ∧
(complX r, complY r) = edDigit (edPt A) d.val (complX t, complY t) ⦄ := by
unfold backend.serial.scalar_mul.vartime_double_base.dsm_step_b
exact dsm_step_p_law t tbl d A e0 e1 e2 e3 e4 e5 e6 e7 hl
h0 h1 h2 h3 h4 h5 h6 h7 hbX hbY hbZ hbT hZ0 hT0 hct hd hdlo hdhi
end CurveFieldProofs