lemmaroutineinferred_dep

Good advice transfers to projected slice

Good advice witness transfers to the projected slice with agreement ≥ α/4\alpha/4
gives the slice correlation for Fourier decoding
Lemma·lem:projected-witness·§5.5 Transferring the chosen slice

Statement (paper)

Suppose the matrix-test acceptance is at least 0.990.99. For all sufficiently large cubes kk, a set of probability at least γ1=αg08 2−ℓrs>0 \gamma_1=\frac{\alpha g_0}{8}\,2^{-\ell r_{\rm s}}>0 of the joint data DD in Definition  has the following properties. The padded UU-advice is good, with the chosen answer set A\mathcal A and its certifying witness. Writing z′=πˉzz'=\bar\pi z, that witness transfers to a nonempty slice AMO=SO,MOπˉqj=tj, AM_O=S_O,\qquad M_O\bar\pi q_j=t_j, on which Pr⁡[FO(MO,TO)=MOz′+u∣AMO=SO, MOπˉqj=tj for all j]≥α/4. \Pr\bigl[F_O(M_O,T_O)=M_Oz'+u\mid AM_O=S_O,\ M_O\bar\pi q_j=t_j\text{ for all }j\bigr] \ge\alpha/4. The probability in this equation is taken over a uniform matrix in the specified slice.

In plain English

If the matrix test accepts with probability at least 0.990.99 and kk is large, then with probability at least γ1=αg082−ℓrs\gamma_1=\frac{\alpha g_0}{8}2^{-\ell r_{\rm s}} over the joint data DD, the padded UU-advice is good with answer set A\mathcal A and witness, and the witness transfers to a nonempty slice AMO=SOAM_O=S_O, MOπˉqj=tjM_O\bar\pi q_j=t_j on which FO(MO,TO)=MOz′+uF_O(M_O,T_O)=M_Oz'+u with conditional probability at least α/4\alpha/4.

Why it's here

This lemma moves the good-advice witness, found for the UU-side data, onto the slice of MOM_O that the OO-prover actually sees, so a correlation of size α/4\alpha/4 holds there. It combines the g0g_0 mass of good advice from the good-row-advice lemma with the near-uniformity of the projected pair (MOπˉ,TOπˉ)(M_O\bar\pi,T_O\bar\pi) from the projected-TV lemma, at a constant-factor loss. The resulting slice is the input for the Fourier coset decoding and matrix decoding steps.
Classified routine:
It follows directly by combining the good-row-advice lemma (mass g0g_0) with the projected-TV near-uniformity lemma, using a total-variation transfer and Markov/averaging that costs only a constant factor. This is standard bookkeeping, not a new idea.

Figures

A flow diagram with a Referee box at top that samples $U,O,\bar\pi,A,T_O,M_O$, sets $S_O=AM_O$, and sends inputs down two parallel columns. The left column is the Equation decoder receiving $(U,A,T_U,S_U)$ with $T_U=T_O\bar\pi$, $S_U=S_O\bar\pi$; it picks a slice witness and answer set $\mathcal A=(z+Z)\cap\{v:e_0^\top v=1\}$ and samples $a_U$ uniformly from it. The right column is the Projected decoder receiving $(O,A,T_O,S_O)$; it sets $H=\ker A$, chooses $M_0$ with $AM_0=S_O$, samples $\sigma\in K^*$ and $\Phi$ with probability $|\widehat f_\sigma(\Phi)|^2$, and outputs $a_O=\Phi(h)$ for a fixed $h\in H$ with $\sigma(h)=1$. Both outputs satisfy $e_0^\top a=1$ and feed into a bottom box where the referee checks $\bar\pi a_U=a_O$.
Figure 3diagramp. 31
The two decoders use independent random tapes. Neither receives the sampled MOM_O or the projection πˉ\bar\pi; the right decoder chooses its own representative M0M_0 from the visible advice. Every displayed advice map includes its affine intercept, through the homogeneous coordinate. The transferred slice is used only to analyze these private rules: the right decoder does not use the left witness or answer set. If the left advice is not good, or if σ∣H=0\sigma|_H=0 on the right, that decoder returns an arbitrary valid answer.
What it shows
A flow diagram with a Referee box at top that samples U,O,πˉ,A,TO,MOU,O,\bar\pi,A,T_O,M_O, sets SO=AMOS_O=AM_O, and sends inputs down two parallel columns. The left column is the Equation decoder receiving (U,A,TU,SU)(U,A,T_U,S_U) with TU=TOπˉT_U=T_O\bar\pi, SU=SOπˉS_U=S_O\bar\pi; it picks a slice witness and answer set A=(z+Z)∩{v:e0⊤v=1}\mathcal A=(z+Z)\cap\{v:e_0^\top v=1\} and samples aUa_U uniformly from it. The right column is the Projected decoder receiving (O,A,TO,SO)(O,A,T_O,S_O); it sets H=ker⁡AH=\ker A, chooses M0M_0 with AM0=SOAM_0=S_O, samples σ∈K∗\sigma\in K^* and Φ\Phi with probability ∣f^σ(Φ)∣2|\widehat f_\sigma(\Phi)|^2, and outputs aO=Φ(h)a_O=\Phi(h) for a fixed h∈Hh\in H with σ(h)=1\sigma(h)=1. Both outputs satisfy e0⊤a=1e_0^\top a=1 and feed into a bottom box where the referee checks πˉaU=aO\bar\pi a_U=a_O.
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Sources

PaperOpen
Section
§5.5 Transferring the chosen slice
Page
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Label
lem:projected-witness
Line
sections/04-matrix.tex:543
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Phase 2 aligns this node to a Lean declaration.

Friction

  • info
    inferred_dep
    critique: The statement of Lemma 5.7 (sections/04-matrix.tex:552) says "of the joint data D in Definition ". The definition is currently flagged as an orphan.