AbstractIn this paper we will introduce two other topologies, coarser than the so-called strong topology, on a class of Šerstnev probabilistic normed spaces, and obtain some important properties of these topologies. We will show that under the first topology, denoted by τ0, our probabilistic normed space is decomposable into the topological direct sum of a normable subspace and the subspace of probably null elements. Under the second topology, which is in fact the inductive limit topology of a family of locally convex topologies, the dual space becomes a locally convex topological vector space
Abstract. In this paper, we prove that in a finite dimensional probabilistic normed space, every two...
Abstract. In this paper, new types of continuous linear operator, such as continuous, strongly conti...
In this paper, we first introduce strong compact operators in PN-spaces and then we prove some of th...
AbstractIn this paper we will introduce two other topologies, coarser than the so-called strong topo...
AbstractIn this paper, we consider strongly bounded linear operators on a finite dimensional probabi...
It was shown [8] that uniform boundedness in a Serstnev PN space $(V,\nu,\tau,\tau^*)$, (named bound...
It was shown in Lafuerza-Guillén, Rodríguez-Lallena and Sempi (1999)that uniform boundedness in a Se...
Following the concept of statistical convergence, we define and study statistical analog concepts of...
We begin the study of probabilistic normed spaces (briefly PN spaces ) by giving several examples; (...
In this paper, generalized probabilistic n-normed spaces are studied, topological properties of thes...
AbstractIn this paper we will reconsider the topological structure of Menger probabilistic normed sp...
One considers probabilistic normed spaces as defined by Alsina,Schweizer and Sklar, but with non nec...
Abstract. In this paper we redefined the definition of a bounded linear op-erator in probabilistic n...
Probabilistic Normed Spaces (PN spaces) have recently been redefined by Alsina, Schweizer and Skla...
The notion of a probabilistic metric space corresponds to the situations when we do not know exactly...
Abstract. In this paper, we prove that in a finite dimensional probabilistic normed space, every two...
Abstract. In this paper, new types of continuous linear operator, such as continuous, strongly conti...
In this paper, we first introduce strong compact operators in PN-spaces and then we prove some of th...
AbstractIn this paper we will introduce two other topologies, coarser than the so-called strong topo...
AbstractIn this paper, we consider strongly bounded linear operators on a finite dimensional probabi...
It was shown [8] that uniform boundedness in a Serstnev PN space $(V,\nu,\tau,\tau^*)$, (named bound...
It was shown in Lafuerza-Guillén, Rodríguez-Lallena and Sempi (1999)that uniform boundedness in a Se...
Following the concept of statistical convergence, we define and study statistical analog concepts of...
We begin the study of probabilistic normed spaces (briefly PN spaces ) by giving several examples; (...
In this paper, generalized probabilistic n-normed spaces are studied, topological properties of thes...
AbstractIn this paper we will reconsider the topological structure of Menger probabilistic normed sp...
One considers probabilistic normed spaces as defined by Alsina,Schweizer and Sklar, but with non nec...
Abstract. In this paper we redefined the definition of a bounded linear op-erator in probabilistic n...
Probabilistic Normed Spaces (PN spaces) have recently been redefined by Alsina, Schweizer and Skla...
The notion of a probabilistic metric space corresponds to the situations when we do not know exactly...
Abstract. In this paper, we prove that in a finite dimensional probabilistic normed space, every two...
Abstract. In this paper, new types of continuous linear operator, such as continuous, strongly conti...
In this paper, we first introduce strong compact operators in PN-spaces and then we prove some of th...