A NONLINEAR COMPLEMENTARITY-TYPE PROBLEM AND VARIATIONAL-TYPE INEQUALITY

2016 ◽  
Vol 11 (1) ◽  
pp. 1-21
Author(s):  
Mitali Routaray ◽  
A. Behera
Author(s):  
Simone Cito ◽  
Domenico Angelo La Manna

The aim of this paper is to prove a quantitative form of a reverse Faber-Krahn type inequality for the first Robin Laplacian eigenvalue λ β with negative boundary parameter among convex sets of prescribed perimeter. In that framework, the ball is the only maximizer for λ β and the distance from the optimal set is considered in terms of Hausdorff distance. The key point of our stategy is to prove a quantitative reverse Faber-Krahn inequality for the first eigenvalue of a Steklov-type problem related to the original Robin problem.


OPSEARCH ◽  
1999 ◽  
Vol 36 (2) ◽  
pp. 107-112
Author(s):  
A. Behera ◽  
Lopamudra Nayak

Author(s):  
Giacomo Ascione

We prove the stability of the ball as global minimizer of an attractive shape functional under volume constraint, by means of mass transportation arguments. The stability exponent is $1/2$ and it is sharp. Moreover, we use such stability result together with the quantitative (possibly fractional) isoperimetric inequality to prove that the ball is a global minimizer of a shape functional involving both an attractive and a repulsive term with a sufficiently large fixed volume and with a suitable (possibly fractional) perimeter penalization.


Author(s):  
Khaled Furati

AbstractIn this paper we establish some bounds for the solution of a Cauchytype problem for a class of fractional differential equations with a weighted sequential fractional derivative. The bounds are based on a Bihari-type inequality and a bound on the Gauss hypergeometric function.


Mathematics ◽  
2020 ◽  
Vol 8 (10) ◽  
pp. 1844
Author(s):  
Jong Kyu Kim ◽  
Salahuddin

In this paper, our goal was to establish the relationship between solutions of local sharp vector variational type inequality and sharp efficient solutions of vector optimization problems, also Minty local sharp vector variational type inequality and sharp efficient solutions of vector optimization problems, under generalized approximate η-convexity conditions for locally Lipschitzian functions.


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