Some Properties on Normalized Tails of Maclaurin Power Series Expansion of Exponential Function

Author:

Bao Zhi-Hua1,Agarwal Ravi Prakash2ORCID,Qi Feng34ORCID,Du Wei-Shih5ORCID

Affiliation:

1. School of Mathematics and Physics, Hulunbuir University, Hulunbuir 021008, China

2. Department of Mathematics and Systems Engineering, Florida Institute of Technology, Melbourne, FL 32901, USA

3. School of Mathematics and Informatics, Henan Polytechnic University, Jiaozuo 454010, China

4. Independent Researcher, University Village, Dallas, TX 75252, USA

5. Department of Mathematics, National Kaohsiung Normal University, Kaohsiung 82444, Taiwan

Abstract

In the paper, (1) in view of a general formula for any derivative of the quotient of two differentiable functions, (2) with the aid of a monotonicity rule for the quotient of two power series, (3) in light of the logarithmic convexity of an elementary function involving the exponential function, (4) with the help of an integral representation for the tail of the power series expansion of the exponential function, and (5) on account of Čebyšev’s integral inequality, the authors (i) expand the logarithm of the normalized tail of the power series expansion of the exponential function into a power series whose coefficients are expressed in terms of specific Hessenberg determinants whose elements are quotients of combinatorial numbers, (ii) prove the logarithmic convexity of the normalized tail of the power series expansion of the exponential function, (iii) derive a new determinantal expression of the Bernoulli numbers, deduce a determinantal expression for Howard’s numbers, (iv) confirm the increasing monotonicity of a function related to the logarithm of the normalized tail of the power series expansion of the exponential function, (v) present an inequality among three power series whose coefficients are reciprocals of combinatorial numbers, and (vi) generalize the logarithmic convexity of an extensively applied function involving the exponential function.

Funder

National Science and Technology Council of the Republic of China

Publisher

MDPI AG

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