corollaryroutine

Cross-pair error bound for true states

Corollary·pred:cross·§3.3 Equality of one coordinate

Statement (paper)

Let ω,π,D\omega,\pi,D be as above, let K≥1,L≥2K\ge1,L\ge2 be integers, and let TT be an independent random test giving the state maps just described. Set s0=ETP(p,q)∼ω{yT(p)∉RyT(q)}. s_0=\E_T\Prob_{(p,q)\sim\omega} \{y_T(p)\notin R_{y_T(q)}\}. There exists a fixed history H:P→HH:P\to\mathcal H, with ∣H(P)∣≤L2K\abs{H(P)}\le L^{2K}, for which the laws of the true, unhashed states νh,T=(yT)∗μh \nu_{h,T}=(y_T)_*\mu_h satisfy ETE(p,q)∼ω[1−νH(p),T(RyT(q))]≤s0+4L+18(D/K)1/4. \E_T\E_{(p,q)\sim\omega} [1-\nu_{H(p),T}(R_{y_T(q)})] \le s_0+\frac4L+18(D/K)^{1/4}. The history is formed from earlier tests and does not use TT.

In plain English

With s0s_0 the average rate at which yT(p)∉RyT(q)y_T(p)\notin R_{y_T(q)} over (p,q)∼ω(p,q)\sim\omega and random test TT, there is a single history H:P→HH:P\to\mathcal H with at most L2KL^{2K} values, chosen from earlier tests and independent of TT, such that ETE(p,q)∼ω[1−νH(p),T(RyT(q))]≤s0+4/L+18(D/K)1/4\E_T\E_{(p,q)\sim\omega}[1-\nu_{H(p),T}(R_{y_T(q)})]\le s_0+4/L+18(D/K)^{1/4}.

Why it's here

This turns the abstract prefix-history bound of the device lemma into a statement about the true, unhashed states: the history-conditioned law of yT(p)y_T(p) lands in RyT(q)R_{y_T(q)} with failure probability only slightly above the baseline s0s_0. The extra 4/L4/L and (D/K)1/4(D/K)^{1/4} terms are the cost of hashing the states and of the history's imperfect prediction. The history has bounded size and does not depend on TT, so it can be fixed in advance.
Classified routine:
A direct corollary of the prefix-history device lemma (pred-device), obtained by hashing the states into L buckets (the 4/L term), averaging over the random step to fix one history, and converting the bounded discrepancy into a failure-probability estimate; this is bookkeeping on top of that lemma.

Uses

Used by

Nothing in the paper

Sources

PaperOpen
Section
§3.3 Equality of one coordinate
Page
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Label
pred:cross
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sections/02-prediction.tex:280
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