Research notes on every problem, and a library of the papers behind them. Built from the open erdos repository.
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Statement
Setting (p. 2). A word is a finite string $A=A(0)A(1)\cdots A(a-1)\in\mathbb C^a$ with . Definition 1 gives its aperiodic autocorrelation function on ,
and calls normalized when ; every binary word, with entries , is normalized. Definition 2 defines the merit factor of as , where
For a normalized word the paper sets
The norms are those of of the unit circle with normalized Haar measure (p. 2).
Lemma 0 (p. 2, quoted). "If is a normalized word then and ."
So for a normalized word the merit factor equals , and a sequence of normalized words has merit factors tending to infinity exactly when ; the paper draws this reading on p. 3. A binary word of length has , so and its merit factor is finite.
Source. T. Downarowicz and Y. Lacroix, "Merit factors and Morse sequences," Theoretical Computer Science 209 (1998), no. 1--2, 377--387, doi:10.1016/s0304-3975(98)00121-2: Definitions 1 and 2 and Lemma 0 with its proof on p. 2 of the authors' 10-page preprint identified on the source card.
Read depth. Claims checked: Definitions 1--2 and Lemma 0 were read clause by clause on the printed page. The proof is the short Parseval computation below and was followed.
Proof pointer
Page 2. Expanding gives a trigonometric polynomial whose coefficients at and , , are and (the print assigns them the other way round, which makes no difference for real words or for the norms); its constant term gives . Applying Parseval to gives .
Dependencies
None beyond Parseval's identity on the circle.
Bears on
- Problem 1150: for a polynomial of degree with coefficients and its coefficient word, , and the lemma reads . With , a uniform bound over binary words would give , the problem's gap. The lemma itself proves no such bound; it is the identity that links merit factors to the problem's question, and the source card works the comparison out.