151 research outputs found
Chebyshev's bias for products of irreducible polynomials
For any , this paper studies the number of polynomials having
irreducible factors (counted with or without multiplicities) in
among different arithmetic progressions. We obtain asymptotic
formulas for the difference of counting functions uniformly for in a
certain range. In the generic case, the bias dissipates as the degree of the
modulus or gets large, but there are cases when the bias is extreme. In
contrast to the case of products of prime numbers, we show the existence of
complete biases in the function field setting, that is the difference function
may have constant sign. Several examples illustrate this new phenomenon.Comment: The exposition has been improved, we now present the case of the
number of irreducible factors both counting and not counting multiplicities.
We also add some results on the possible values of the bia
Asymptotic estimate on the distance energy of lattices
Since the well-known breakthrough of L. Guth and N. Katz on the Erdos
distinct distances problem in the plane, mainstream of interest is aroused by
their method and the Elekes-Sharir framework. In short words, they study the
second moment in the framework. One may wonder if higher moments would be more
efficient. In this paper, we show that any higher moment fails the expectation.
In addition, we show that the second moment gives optimal estimate in higher
dimensions.Comment: We show that the higher moments in Guth-Katz framework of Erdos
distinct distances do not help, and some mor
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