lemmaroutine
Mean comparison scale factors and release cost
Mean-term comparison costs or , plus on release
cites scale and release costs in prefix and raw-difference bounds
Lemma·
lem:est-mean-comparison·§7.3 Mean comparisons and the cost of releasing a sourceStatement (paper)
Compare a budget- sample term with the same term using true stochastic
inputs. For a first-channel mean contribution use its clipped relative
error against . In the bound for its th-power norm, the scale
factor multiplying a child root-discrepancy power is, up to fixed constants,
A child that releases the old source and restarts on a stage-rate
domain costs in addition at most in norm power. Direct children
retaining that source have no such factor. The same-scale vector and
second-channel comparisons have constant scale cost, with only
where a source is released. No independence of estimated factors is
required.
In plain English
Comparing a budget- sample term with the same term on true stochastic inputs, the bound on the th-power norm of a first-channel mean contribution (its clipped relative error against ) multiplies each child root-discrepancy power by if is replaced correctly: by when and when . A child that releases the old source and restarts on a stage-rate domain adds at most in norm power, while same-scale vector and second-channel comparisons cost only a constant scale factor, plus where a source is released, and no independence of estimated factors is needed.
Why it's here
This lemma bundles the scale-factor cases (coarse bin, fine bin), the source-release cost via the incoming cap, and the second-channel, rank, detector and reward comparisons into one statement, so later mean-prefix and raw-difference bounds can cite a single comparison with explicit costs. The key point is that all costs are controlled by scale ratios and alone, without assuming independence of the estimated factors.
Classified routine:
A bookkeeping lemma that collects scale-ratio factors (b/a or (b/a)^{s-1}) and the f/u source-release cost. These follow from the comparability and contraction properties of the estimation loss (lem-est-loss) by a standard norm-power calculation, not from a new idea.
Uses
Used by
Inside the proof
Sources
PaperOpen
- Section
- §7.3 Mean comparisons and the cost of releasing a source
- Page
- —
- Label
lem:est-mean-comparison- Line
sections/estimation.tex:230
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