Inequalities Concerning Maximum Modulus and Zeros of Random Entire Functions

PROCEEDINGS OF THE EDINBURGH MATHEMATICAL SOCIETY(2024)

引用 0|浏览1
暂无评分
摘要
Let f (z) = Sigma(infinity )(j=0)a(j)z(j )be a transcendental entire function and let f omega(z) = Sigma(infinity)(j=0) chi(j)(omega)a(j)z(j) be a random entire function, where chi(j)(omega) are independent and identically distributed random variables defined on a probability space (Omega, F, mu). In this paper, we first define a family of random entire functions, which includes Gaussian, Rademacher and Steinhaus entire functions. We prove that, for almost all functions in the family and for any constant C >1, there exist a constant r(0) = r(0)(omega) and a set E subset of [e, infinity) of finite logarithmic measure such that, for r > r(0) and r (sic) E, | log M(r, f) - N(r, 0, f(omega))| <= (C/A)(1/B) log(1/B) log M(r, f) + log log M(r, f), a.s. where A, B are constants, M(r, f) is the maximum modulus and N(r, 0, f) is the integrated zero-counting function of f. As a by-product of our main results, we prove Nevanlinna's second main theorem for random entire functions. Thus, the characteristic function of almost all functions in the family is bounded above by an integrated counting function, rather than by two integrated counting functions as in the classical Nevanlinna theory. For instance, we show that, for almost all Gaussian entire functions f omega and for any epsilon > 0, there is r0 such that, for r > r0, T (r, f) <= N(r, 0, f omega) + (1/2 + epsilon) log T (r, f ).
更多
查看译文
关键词
random variables,random Taylor series,Gaussian,Rademacher and Steinhaus entire functions,value-distribution theory,Nevanlinna's second main theorem
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要