An International Journal

ISSN: 2582-0818

Home 9 Volume 9 Positive Solutions to a Derivative Dependent p-Laplacian Equation with Riemann-Stieltjes Integral Boundary Conditions
Open AccessArticle
Positive Solutions to a Derivative Dependent p-Laplacian Equation with Riemann-Stieltjes Integral Boundary Conditions

1Department of Mathematics, Birla Institute of Technology, Mesra, Ranchi – 835215, India.2Department of Mathematics, Florida Gulf Coast University, Fortmyres, Florida 33965, USA.3Department of Mathematics, University of Tennessee at Chattanooga, Chattanooga, TN 37403, USA.
* Corresponding Author: John R. Graef. Email: john-graef@utc.edu

Annals of Communications in Mathematics 2020, 3 (1), 7-25. https://doi.org/10.62072/acm.2020.030102
Received: 9 December 2019 |
Accepted: 30 January 2020 |
Published: 31 March 2020

ABSTRACT.

This paper is concerned with the existence of two nontrivial positive solutions to a class of boundary value problems involving a \( p \)-Laplacian of the form

\[
(\Phi_p(x’))’ + g(t)\,f(t,x,x’) = 0, \qquad t \in (0,1),
\]

\[
x(0) – a x'(0) = \alpha[x],
\]

\[
x(1) + b x'(1) = \beta[x],
\]

where \( \Phi_p(x) = |x|^{p-2}x \) is a one dimensional \( p \)-Laplacian operator with \( p > 1 \), \( a \) and \( b \) are real constants, and \( \alpha \) and \( \beta \) are given by the Riemann–Stieltjes integrals

\[
\alpha[x] = \int_{0}^{1} x(t)\, dA(t),
\qquad
\beta[x] = \int_{0}^{1} x(t)\, dB(t),
\]

with \( A \) and \( B \) functions of bounded variation. The approach used is based on fixed point theorems.

Keywords

Cite This Article

Seshadev Padhi, Jaffar Ali, John R. Graef.
Positive Solutions to a Derivative Dependent p-Laplacian Equation with Riemann-Stieltjes Integral Boundary Conditions.
Annals of Communications in Mathematics
2020,
3 (1):
7-25.
https://doi.org/10.62072/acm.2020.030102

Creative Commons License
Copyright © 2020 by the Author(s). Licensee Techno Sky Publications. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).

Reader Comments

Preview PDF

XML File

⬇️ Downloads: 0

Share

Follow by Email
YouTube
Pinterest
LinkedIn
Share
Instagram
WhatsApp
Reddit
FbMessenger
Tiktok
URL has been copied successfully!