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For a positive integer nn, put [n]={1,…,n}[n]=\{1,\ldots,n\} and

s(A)=∑a∈A1a,Rn(x)=∣{A⊆[n]:s(A)≤x}∣,Nn(x)=∣{A⊆[n]:s(A)=x}∣.s(A)=\sum_{a\in A}\frac1a,\qquad R_n(x)=|\{A\subseteq[n]:s(A)\le x\}|,\qquad N_n(x)=|\{A\subseteq[n]:s(A)=x\}|.

Subsets have distinct denominators; ordering is not counted. The empty set is allowed and has sum zero. The exact-count theorem concerns fixed positive rational xx. For irrational xx, Nn(x)=0N_n(x)=0.

The binary entropy, measured in bits, is

h(p)=−plog⁡2p−(1−p)log⁡2(1−p),h(0)=h(1)=0.h(p)=-p\log_2p-(1-p)\log_2(1-p),\qquad h(0)=h(1)=0.

Write log⁡\log for the natural logarithm. Define

Hn(x)=max⁡{∑m=1nh(pm):0≤pm≤1,∑m=1npm/m≤x}.\mathcal H_n(x)= \max\left\{\sum_{m=1}^nh(p_m): 0\le p_m\le1,\quad \sum_{m=1}^n p_m/m\le x\right\}.

For x≥0x\ge0 this maximum exists by compactness and continuity. Its product Bernoulli law is denoted Pn(x)P_n(x). Write Hn=∑m=1n1/mH_n=\sum_{m=1}^n1/m. When 0<x<Hn/20<x<H_n/2, Lemma 2 gives a positive multiplier c=cx,nc=c_{x,n} and probabilities pm=(1+ecn/m)−1p_m=(1+e^{cn/m})^{-1}. This discrete multiplier is distinct from the continuous exponent cxc_x of Theorem 1.

For a finite set VV of integers, Σ(V)\Sigma(V) is its set of subset sums, including zero. For real s≥0s\ge0, Σ[s](V)\Sigma^{[s]}(V) uses subsets of size at most ⌊s⌋\lfloor s\rfloor. A rational whose denominator is coprime to an integer q>1q>1 has a well-defined residue modulo qq, using inverses in Z/qZ\mathbb Z/q\mathbb Z. Centered representatives lie in (−q/2,q/2](-q/2,q/2].

A positive integer is tt-smooth if every prime divisor is at most tt. It is tt-powersmooth if every prime-power divisor is at most tt. The integer 1 has both properties. A rational's denominator means its positive denominator in lowest terms.

Source: published PDF, pp. 2, 7, 9. See the version and correction record.

Bears on. Problem 297.