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Statement
Setting (p. 1). is a real additive function: whenever . A function is the distribution function of when , and, for every real , , where counts the with . The truncation is when and otherwise.
Theorem III (p. 2). Let be additive, and suppose that for some constant the function satisfies the hypotheses of Theorem II. Then the paper writes
and asserts that has a distribution function. Continuity and strict increase are not asserted here.
The paper calls Theorem III essentially identical with Theorem II, and says (p. 2) that the converse is probably true: if has a distribution function then with ; it can prove this converse only when .
Proof pointer
No separate proof is given; the paper presents it as a slightly stronger form of Theorem II, whose proof it omits.
Read depth
Claims checked: the statement read on the page image of p. 2. Nothing here is independently reviewed.
Dependencies
Source. P. Erdős, On the distribution function of additive functions, Ann. of Math. (2) 47 (1946), 1--20, doi:10.2307/1969031; the edition read is named on the source card.
Bears on
None directly.