
doi: 10.1007/bf00966181
Given an additive function f let \(f_ k\) (k\(\geq 1)\) be the associated ''truncated'' functions defined by \(f_ k(n)=\sum_{p^ m\| n, p\leq k}f(p^ m).\) The author first characterizes those additive functions f, for which the sequence \((f_ k)\) converges strongly to f in the sense that for every \(\epsilon >0\) \[ \lim_{k\to \infty} \limsup_{x\to \infty}(1/x) \#\{n\leq x:\quad | f_ k(n)-f(n)| \geq \epsilon \}=0 ; \] the criterion for this coincides with the Erdős-Wintner criterion for the existence of a limit distribution for f. He then proves similar results involving renormalizing constants. Moreover, he proves an analogue of the law of iterated logarithm for the sequence \((f_ k)\), subject to suitable conditions on the function f.
Arithmetic functions in probabilistic number theory, additive function, limit distribution, Asymptotic results on arithmetic functions, renormalizing constants, analogue of the law of iterated logarithm
Arithmetic functions in probabilistic number theory, additive function, limit distribution, Asymptotic results on arithmetic functions, renormalizing constants, analogue of the law of iterated logarithm
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