The upper approximation bounds the ergodic value #
Paper I, the proof of Main Theorem I (2), first half (I:1196–1203): every IRS restricts to a point
of the polytope, so the polytope optimum is at least the ergodic value. Here the restriction of an
IRS μ to the stage words is a distribution m on patterns; it is carried by locally good
patterns, its marginals on the shorter words are conjugation invariant, and it computes the value
once the stage covers the challenge words. Rounding m to the grid of step 1/M
(exists_rounding, an ℓ¹ error at most 2P) gives a feasible grid point whose value is within
2P/M = 2/2^t of val(T, μ) (valOn_le_upperSeq).
Patterns of sets of words #
The sets of words with a given pattern on J.
Equations
Instances For
The partition by patterns: the measure of a set given by a pattern on W is the sum over
the patterns.
Rounding to the grid #
Rounding a distribution to the grid of step 1/M, with ℓ¹ error at most twice the
number of points and no new support.
The invariance error of a rounding is at most twice its ℓ¹ error.
Lists as finite sums #
The restriction of an IRS #
Validity #
The rounding of an IRS: a feasible grid point whose value is within 2P/M of the IRS's
once the stage covers the challenge words.
Every IRS is below the upper approximation.