Sharp Arcsine-Type Bounds and Analytic Approximations for the Gauss Lemniscate Sine Function

This paper develops two novel arcsine-type analytic approximation formulas for arcsl(x), the Gauss lemniscate sine function, each equipped with a monotonic and bounded remainder term of order x29 as x→0, which demonstrates the high accuracy of the obtained formulas near the origin. Based on these approximations, we establish several new sharp inequalities valid on the interval (0,1). Numerical evidence confirms that the resulting bounds provide improved accuracy compared with existing estimates in the literature, particularly in a neighborhood of the origin.

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Publication Details

Journal
Mathematics
Published
2026-05-29
DOI
https://doi.org/10.3390/math14111898
Primary Topic
Mathematical functions and polynomials
Type
article
Field-Weighted Citation Impact
0.00

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article

Sharp Arcsine-Type Bounds and Analytic Approximations for the Gauss Lemniscate Sine Function

Mansour Mahmoud, Cristinel Mortici, Hanan Almuashi
Mathematics
Mathematical functions and polynomials
article

Sharp Arcsine-Type Bounds and Analytic Approximations for the Gauss Lemniscate Sine Function

Mansour Mahmoud, Cristinel Mortici, Hanan Almuashi
article en

Abstract

This paper develops two novel arcsine-type analytic approximation formulas for arcsl(x), the Gauss lemniscate sine function, each equipped with a monotonic and bounded remainder term of order x29 as x→0, which demonstrates the high accuracy of the obtained formulas near the origin. Based on these approximations, we establish several new sharp inequalities valid on the interval (0,1). Numerical evidence confirms that the resulting bounds provide improved accuracy compared with existing estimates in the literature, particularly in a neighborhood of the origin.

MathematicsVol. 14(11)
King Abdulaziz University (SA), Academia Oamenilor de Știință din România (RO), University of Jeddah (SA), Valahia University of Targoviste (RO), Universitatea Națională de Știință și Tehnologie Politehnica București (RO)
King Abdulaziz University
Reduced inequalities
Openalex Percentile: Top 3%
Mathematical functions and polynomials
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