2017
DOI: 10.12988/ijma.2017.7468
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Hankel determinant for a subclass of analytic functions associated with error functions bounded by conical regions

Abstract: In the present work, the authors are focusing to study the best possible upper bound to the second Hankel determinants of the univalent error functions in the open disk using subordination.

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Cited by 10 publications
(5 citation statements)
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“…By seeing the history of Error function in geometric function theory, in the year 2016, Ramachandran et al [13] introduced and studied the normalised error starlike and error convex function in the conical region. Immediately, Ramachandran et al [15] studied the Hankel determinant for the starlike and convex function associated with error function. Then, Ramachandran et al [16] introduced and found the sharp bounds for error close to convex function in 2019.…”
Section: Toeplitz Determinant For Error Starlike and Error Convex Fun...mentioning
confidence: 99%
“…By seeing the history of Error function in geometric function theory, in the year 2016, Ramachandran et al [13] introduced and studied the normalised error starlike and error convex function in the conical region. Immediately, Ramachandran et al [15] studied the Hankel determinant for the starlike and convex function associated with error function. Then, Ramachandran et al [16] introduced and found the sharp bounds for error close to convex function in 2019.…”
Section: Toeplitz Determinant For Error Starlike and Error Convex Fun...mentioning
confidence: 99%
“…It presents in many disciplines of physics, chemistry, biology, thermo mechanics and mass flow. It also occurs in theoretical aspects of many parts of atmosperic science [1,12].…”
Section: Introductionmentioning
confidence: 99%
“…which are analytic and obtain from Form (3) and (4) refer to error functions defined by [2] and [15] respectively. Recently, [15] investigated Hankel determinant for subclass of analytic functions associated with error functions bounded by conical regions and obtained interesting results. Also, many researchers have been able to use error function in different direction for detailed see [3], [6], [8].…”
mentioning
confidence: 99%