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Deduction of Semi-Optimal Mollifier for Obtaining Lower Bound for N0(T) for Riemanns Zeta-Function

机译:求Riemann Zeta函数的N0(T)下界的半最优缓和器的推论

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摘要

A mollifier played a key role in showing N0(T) > 1/3N(T) for large T in ref. 1 [Levinson, N. (1974) Advan. Math. 13, 383-436]. A basic problem in ref. 1 was that of obtaining an upper bound for a sum of two terms, one larger than the other. Here a deductive procedure is given for finding a mollifier that actually minimizes the larger term. An Euler-Lagrange equation is obtained. (Optimization of the sum of both the major and minor terms appears to be formidable.) The actual improvement effected by the optimized mollifier over the ad hoc mollifier of ref. 1 is unfortunately only 1.4%. To obtain a usable mollifier it is necessary to blur the optimization procedure by smoothing at several stages of the deduction. The procedure is of more interest than the particular application because of the small improvement in this case.
机译:对于参考中的大T而言,调解器发挥了关键作用,显示N0(T)> 1 / 3N(T)。 1 [Levinson,N.(1974)Advan。数学。 13,383-436]。参考中的一个基本问题。 1是获得两个项之和的上限,一个大于另一个。这里给出了演绎过程,以找到实际上使较大项最小的缓和器。得到一个欧拉-拉格朗日方程。 (优化主要词和次要词的总和似乎很艰巨。)与参考文献的ad hoc缓和剂相比,优化的缓和剂影响了实际的改进。不幸的是1是1.4%。为了获得可用的缓和器,有必要通过在演绎的多个阶段进行平滑来模糊优化过程。由于在这种情况下改进很小,因此与特定应用程序相比,该过程更受关注。

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