Characterization and classification of sigmoid function and generalized discrete probability distributions series defined by Awolere–Oladipo derivative operator in the analytic univalent function space

UDC 517.53 The sigmoid function is a special function emulating biological neurons in terms of signal processing or sending  alerts to various departments of the brain for responses. It is also good for machine learning, while the generalized discrete probability distribution series is useful for mo...

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Datum:2026
Hauptverfasser: Awolere, Ibrahim Tunji, Gbolagade, Adeniyi Musibau, Ayeni, Adeniyi, Oladipo, Abiodun Tinuoye, Altınkaya, Şahsene
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Sprache:Englisch
Veröffentlicht: Institute of Mathematics, NAS of Ukraine 2026
Online Zugang:https://umj.imath.kiev.ua/index.php/umj/article/view/9259
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Назва журналу:Ukrains’kyi Matematychnyi Zhurnal
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Ukrains’kyi Matematychnyi Zhurnal
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author Awolere, Ibrahim Tunji
Gbolagade, Adeniyi Musibau
Ayeni, Adeniyi
Oladipo, Abiodun Tinuoye
Altınkaya, Şahsene
Awolere, Ibrahim Tunji
Gbolagade, Adeniyi Musibau
Ayeni, Adeniyi
Oladipo, Abiodun Tinuoye
Altınkaya, Şahsene
Altınkaya, Şahsene
author_facet Awolere, Ibrahim Tunji
Gbolagade, Adeniyi Musibau
Ayeni, Adeniyi
Oladipo, Abiodun Tinuoye
Altınkaya, Şahsene
Awolere, Ibrahim Tunji
Gbolagade, Adeniyi Musibau
Ayeni, Adeniyi
Oladipo, Abiodun Tinuoye
Altınkaya, Şahsene
Altınkaya, Şahsene
author_sort Awolere, Ibrahim Tunji
baseUrl_str https://umj.imath.kiev.ua/index.php/umj/oai
collection OJS
datestamp_date 2026-03-21T11:04:14Z
description UDC 517.53 The sigmoid function is a special function emulating biological neurons in terms of signal processing or sending  alerts to various departments of the brain for responses. It is also good for machine learning, while the generalized discrete probability distribution series is useful for modeling infectious diseases, genetic modeling,  clinical trials, risk analysis, optimal pricing, ecological and climatic modeling, and conservation biology. We explore the convex combination and several other types of behaviors of the sigmoid function associated with the generalized discrete probability distribution series in the space of univalent function theory. This is done by introducing and studying a new derivative operator. Several coefficient inequalities and consequences of various choices of the parameters involved are discussed. Graphically, by using the Python software, various convex combinations of $K_{\phi}$ and $g_{\phi}$ are presented in terms of disease and intervention, policy and policy intervention, investment return, disease spread, infection and intervention, free market and intervention, and cost and efficiency relations.
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spelling umjimathkievua-article-92592026-03-21T11:04:14Z Characterization and classification of sigmoid function and generalized discrete probability distributions series defined by Awolere–Oladipo derivative operator in the analytic univalent function space Characterization and classification of sigmoid function and generalized discrete probability distributions series defined by Awolere–Oladipo derivative operator in the analytic univalent function space Awolere, Ibrahim Tunji Gbolagade, Adeniyi Musibau Ayeni, Adeniyi Oladipo, Abiodun Tinuoye Altınkaya, Şahsene Awolere, Ibrahim Tunji Gbolagade, Adeniyi Musibau Ayeni, Adeniyi Oladipo, Abiodun Tinuoye Altınkaya, Şahsene Altınkaya, Şahsene Analytic function Generalized distribution series Python Complex Analysis UDC 517.53 The sigmoid function is a special function emulating biological neurons in terms of signal processing or sending  alerts to various departments of the brain for responses. It is also good for machine learning, while the generalized discrete probability distribution series is useful for modeling infectious diseases, genetic modeling,  clinical trials, risk analysis, optimal pricing, ecological and climatic modeling, and conservation biology. We explore the convex combination and several other types of behaviors of the sigmoid function associated with the generalized discrete probability distribution series in the space of univalent function theory. This is done by introducing and studying a new derivative operator. Several coefficient inequalities and consequences of various choices of the parameters involved are discussed. Graphically, by using the Python software, various convex combinations of $K_{\phi}$ and $g_{\phi}$ are presented in terms of disease and intervention, policy and policy intervention, investment return, disease spread, infection and intervention, free market and intervention, and cost and efficiency relations. УДК 517.53 Характеризація та класифікація сигмоїдної функції і узагальненого дискретного ряду ймовірнісних розподілів, визначених диференціальним оператором Аволере–Оладіпо, у просторі аналітичних однолистних функцій Сигмоїдну функцію розглянуто як спеціальну функцію, що моделює біологічні нейрони з погляду обробки сигналів і передавання імпульсів для формування відповідних реакцій у різних ділянках мозку. Вона також придатна для машинного навчання. Узагальнений дискретний ряд ймовірнісних розподілів застосовується для моделювання інфекційних захворювань, генетичних процесів і клінічних випробувань, аналізу ризиків, оптимального ціноутворення, екологічного та кліматичного моделювання, а також біології збереження. Вивчено опуклі комбінації та інші властивості сигмоїдної функції, пов'язані з узагальненим дискретним рядом ймовірнісних розподілів, у просторі теорії однолистних функцій. Для цього введено та проаналізовано новий диференціальний оператор. Наведено коефіцієнтні нерівності та обговорено наслідки різних виборів параметрів. Графічно, з використанням програмного забезпечення Python, подано різні опуклі комбінації $K_{\phi}$ і $g_{\phi}$ у контексті захворювань і втручань, політики та політичних втручань, інвестиційної дохідності, поширення хвороб, інфекцій і втручань, вільного ринку та регулювання, а також співвідношення вартості й ефективності. Institute of Mathematics, NAS of Ukraine 2026-03-02 Article Article https://umj.imath.kiev.ua/index.php/umj/article/view/9259 10.3842/umzh.v78i1-2.9259 Ukrains’kyi Matematychnyi Zhurnal; Vol. 78 No. 1-2 (2026); 80–81 Український математичний журнал; Том 78 № 1-2 (2026); 80–81 1027-3190 en https://umj.imath.kiev.ua/index.php/umj/article/view/9259/10621 Copyright (c) 2026 Ibrahim Tunji Awolere, Adeniyi Musibau Gbolagade, Adeniyi Ayeni, Abiodun Tinuoye Oladipo, Şahsene Altınkaya
spellingShingle Awolere, Ibrahim Tunji
Gbolagade, Adeniyi Musibau
Ayeni, Adeniyi
Oladipo, Abiodun Tinuoye
Altınkaya, Şahsene
Awolere, Ibrahim Tunji
Gbolagade, Adeniyi Musibau
Ayeni, Adeniyi
Oladipo, Abiodun Tinuoye
Altınkaya, Şahsene
Altınkaya, Şahsene
Characterization and classification of sigmoid function and generalized discrete probability distributions series defined by Awolere–Oladipo derivative operator in the analytic univalent function space
title Characterization and classification of sigmoid function and generalized discrete probability distributions series defined by Awolere–Oladipo derivative operator in the analytic univalent function space
title_alt Characterization and classification of sigmoid function and generalized discrete probability distributions series defined by Awolere–Oladipo derivative operator in the analytic univalent function space
title_full Characterization and classification of sigmoid function and generalized discrete probability distributions series defined by Awolere–Oladipo derivative operator in the analytic univalent function space
title_fullStr Characterization and classification of sigmoid function and generalized discrete probability distributions series defined by Awolere–Oladipo derivative operator in the analytic univalent function space
title_full_unstemmed Characterization and classification of sigmoid function and generalized discrete probability distributions series defined by Awolere–Oladipo derivative operator in the analytic univalent function space
title_short Characterization and classification of sigmoid function and generalized discrete probability distributions series defined by Awolere–Oladipo derivative operator in the analytic univalent function space
title_sort characterization and classification of sigmoid function and generalized discrete probability distributions series defined by awolere–oladipo derivative operator in the analytic univalent function space
topic_facet Analytic function
Generalized distribution series
Python
Complex Analysis
url https://umj.imath.kiev.ua/index.php/umj/article/view/9259
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