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One step of the A-conjugacy of PCG search directions: dk+1TAdk=0d_{k+1}^T A d_k = 0dk+1T​Adk​=0

Disproved
LimitedBFGS.SQN.pcg_direction_A_conjugacy_step

by WillR · Sep 28, 2026 · Mathlib 0df444a (Lean v4.33.1)

conjugate-gradientnumerical-linear-algebrapreconditioningquasi-newton

Let f(x)=12xTAx+bTxf(x) = \tfrac12 x^TAx + b^Txf(x)=21​xTAx+bTx on Rn\mathbb{R}^nRn with AAA symmetric positive definite, and run the preconditioned conjugate gradient method with fixed preconditioner H0H_0H0​ and exact line searches from x0x_0x0​, so that with gk=Axk+bg_k = Ax_k + bgk​=Axk​+b and yk=gk+1−gky_k = g_{k+1} - g_kyk​=gk+1​−gk​ the directions obey

dk+1=−H0gk+1+βk dk,βk=ykTH0gk+1ykTdk.d_{k+1} = -H_0 g_{k+1} + \beta_k\, d_k, \qquad \beta_k = \frac{y_k^T H_0 g_{k+1}}{y_k^T d_k}.dk+1​=−H0​gk+1​+βk​dk​,βk​=ykT​dk​ykT​H0​gk+1​​.

Then two successive search directions are AAA-conjugate:

dk+1TA dk=0for every k≥0.d_{k+1}^T A\, d_k = 0 \qquad \text{for every } k \ge 0.dk+1T​Adk​=0for every k≥0.

Why it is true. The gradient of a quadratic is affine, so along the line x+a dx + a\,dx+ad the gradient changes by a Ada\,AdaAd. Since yk=gk+1−gky_k = g_{k+1} - g_kyk​=gk+1​−gk​ is exactly the change produced by the step ak=exactStepa_k = \mathrm{exactStep}ak​=exactStep, one has yk=ak Adky_k = a_k\,A d_kyk​=ak​Adk​, and therefore

βk=(Adk)T(H0gk+1)(Adk)Tdk,\beta_k = \frac{(A d_k)^T (H_0 g_{k+1})}{(A d_k)^T d_k},βk​=(Adk​)Tdk​(Adk​)T(H0​gk+1​)​,

the factor aka_kak​ cancelling. Substituting the direction recurrence and using that uTAv=vTAuu^TAv = v^TAuuTAv=vTAu for symmetric AAA,

dk+1TAdk=−(H0gk+1)T(Adk)+βk (dkTAdk)=− (Adk)T(H0gk+1)(Adk)Tdk (Adk)Tdk+(Adk)T(H0gk+1)=0,d_{k+1}^T A d_k = -(H_0 g_{k+1})^T (A d_k) + \beta_k \, (d_k^T A d_k) = -\,\frac{(A d_k)^T (H_0 g_{k+1})}{(A d_k)^T d_k}\,(A d_k)^T d_k + (A d_k)^T (H_0 g_{k+1}) = 0,dk+1T​Adk​=−(H0​gk+1​)T(Adk​)+βk​(dkT​Adk​)=−(Adk​)Tdk​(Adk​)T(H0​gk+1​)​(Adk​)Tdk​+(Adk​)T(H0​gk+1​)=0,

because the two parenthesised scalars are the same two numbers written in the two orders allowed by self-adjointness.

Formalization note. No case split is needed. When ykTdk=0y_k^T d_k = 0ykT​dk​=0 Lean's convention x/0=0x/0 = 0x/0=0 makes βk=0\beta_k = 0βk​=0, and then yk=akAdky_k = a_k A d_kyk​=ak​Adk​ with the same vanishing denominator gives (Adk)T(H0gk+1)=0(A d_k)^T(H_0 g_{k+1}) = 0(Adk​)T(H0​gk+1​)=0 as well, so both summands are 000 and the identity still holds. The hypothesis is exactly that AAA is symmetric (positive definiteness is not needed for this step, and is carried only because it is the standing hypothesis of the iteration). This is a statement about one index only, so unlike the full conjugacy it is a direct algebraic consequence of the definition of β\betaβ and requires no induction.

Preamble
import Mathlib
import Definitions.Def_LimitedBFGS_SQN_pcgIter

open Matrix
Formal statement
namespace LimitedBFGS.SQN

/-- One step of the `A`-conjugacy of the search directions generated by the
preconditioned conjugate gradient iteration (13) of Nocedal 1980, p. 777.

Write `st_k = pcgIter A b H0 x0 k` and `st_{k+1} = pcgIter A b H0 x0 (k + 1)`.
The direction recurrence is `d_{k+1} = -H0 g_{k+1} + beta_k d_k` with
`beta_k = y_kᵀ H0 g_{k+1} / y_kᵀ d_k` and `y_k = g_{k+1} - g_k`. Then

    d_{k+1}ᵀ A d_k = 0.

This is exactly the property `beta` exists to enforce: since the gradient is
affine, `y_k = a_k (A d_k)` for the line-search step `a_k = exactStep A b
st_k.x st_k.d`, so

    beta_k = [(A d_k)ᵀ (H0 g_{k+1})] / [(A d_k)ᵀ d_k],

and in `d_{k+1}ᵀ (A d_k) = -(H0 g_{k+1})ᵀ (A d_k) + beta_k (d_kᵀ A d_k)` the two
summands are the same two scalars exchanged, because the bilinear form
`uᵀ A v` is self-adjoint when `A` is symmetric. The identity is therefore
structural rather than inductive: it needs no hypothesis about any earlier
index, and it holds in the degenerate case `y_kᵀ d_k = 0`, where Lean's `x/0 = 0`
makes both summands vanish.

This is the base case of the `A`-conjugacy of the directions, and it is the
step from which the orthogonality relations `g_iᵀ H0 g_j = 0` and
`g_iᵀ d_j = 0` of eq. (15)-(16), p. 777, are obtained. -/
theorem pcg_direction_A_conjugacy_step {n : ℕ} (A : Matrix (Fin n) (Fin n) ℝ) (hA : A.PosDef)
    (b : Fin n → ℝ) (H₀ : Matrix (Fin n) (Fin n) ℝ) (x₀ : Fin n → ℝ) (k : ℕ) :
    (pcgIter A b H₀ x₀ (k + 1)).d ⬝ᵥ (A *ᵥ (pcgIter A b H₀ x₀ k).d) = 0 := by sorry

end LimitedBFGS.SQN
Source
Nocedal, Updating Quasi-Newton Matrices with Limited Storage, Math. Comp. 35 (1980), p. 777, iteration (13) and the A-conjugacy of the search directions underlying eqs. (15)-(16)

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