We present a nite difference method to compute the principal eigenvalue and the corresponding eigenfunction for a large class of second order elliptic operators including notably linear operators in non divergence form and fully nonlinear operators. The principal eigenvalue is computed by solving a nite-dimensional nonlinear min-max optimization problem. We prove the convergence of the method and we discuss its implementation. Some examples where the exact solution is explicitly known show the effectiveness of the method
We characterize the validity of the Maximum Principle in bounded domains for fully nonlinear degener...
We provide a priori error estimates for variational approximations of the ground state eigenvalue an...
We characterize the validity of the Maximum Principle in bounded domains for fully nonlinear degener...
The main scope of this article is to define the concept of principal eigenvalue for fully non linear...
In a series of papers, F. Hamel, N. Nadirashvili and E. Russ deal with the isoperimetric problem for...
We consider an elliptic operator in which the second-order term is very small in one direction. In t...
AbstractIn this paper, methods for finding nontrivial solutions of the nonlinear eigenvalue problem ...
In a very recent paper (Hu et al., The lower bounds for eigenvalues of elliptic operators by nonconf...
This paper introduces a method of constructing nonconforming finite elements which can produce lower...
AbstractIn this work we deal with the problem of the existence and uniqueness of principal eigenvalu...
We improve some previous results for the principal eigenvalue of the p-laplacian defined on IRN, stu...
In this talk, we will show some recent results about the limit problem of the principal eigenvalue f...
Two generalizations of the notion of principal eigenvalue for elliptic operators in R-N are examined...
International audienceIn this paper, we consider shape optimization problems for the principal eigen...
Two generalizations of the notion of principal eigenvalue for elliptic operators in RN are examined ...
We characterize the validity of the Maximum Principle in bounded domains for fully nonlinear degener...
We provide a priori error estimates for variational approximations of the ground state eigenvalue an...
We characterize the validity of the Maximum Principle in bounded domains for fully nonlinear degener...
The main scope of this article is to define the concept of principal eigenvalue for fully non linear...
In a series of papers, F. Hamel, N. Nadirashvili and E. Russ deal with the isoperimetric problem for...
We consider an elliptic operator in which the second-order term is very small in one direction. In t...
AbstractIn this paper, methods for finding nontrivial solutions of the nonlinear eigenvalue problem ...
In a very recent paper (Hu et al., The lower bounds for eigenvalues of elliptic operators by nonconf...
This paper introduces a method of constructing nonconforming finite elements which can produce lower...
AbstractIn this work we deal with the problem of the existence and uniqueness of principal eigenvalu...
We improve some previous results for the principal eigenvalue of the p-laplacian defined on IRN, stu...
In this talk, we will show some recent results about the limit problem of the principal eigenvalue f...
Two generalizations of the notion of principal eigenvalue for elliptic operators in R-N are examined...
International audienceIn this paper, we consider shape optimization problems for the principal eigen...
Two generalizations of the notion of principal eigenvalue for elliptic operators in RN are examined ...
We characterize the validity of the Maximum Principle in bounded domains for fully nonlinear degener...
We provide a priori error estimates for variational approximations of the ground state eigenvalue an...
We characterize the validity of the Maximum Principle in bounded domains for fully nonlinear degener...