Fixed Point Theorems for Random Lowersemi-continuous Mappings
© Raúl Fierro et al. 2009
Received: 31 January 2009
Accepted: 1 July 2009
Published: 3 August 2009
Let be a metric space and a closed and nonempty subset of . Denote by (resp., ) the family of all nonempty (resp., nonempty and closed) subsets of . A mapping is said to satisfy if, for every closed ball of with radius and any sequence in for which and as , there exists such that where . If is any nonempty set, we say that the operator satisfies if for each , the mapping satisfies . We should observe that this latter condition is related to a condition that was originally introduced by Petryshyn  for single-valued operators, in order to prove existence of fixed points. However, in our case, the condition is used to prove the measurability of a certain operator. On the other hand, in the year 2001, Shahzad (cf. ) using an idea of Itoh (cf. ), see also (), proved that under a somewhat more restrictive condition, named condition (A), the following result.
Theorem 1 S.
We shall show that the above result is still valid if the operator is only lower semi-continuous. In addition, the assumption that each value is closed has been relaxed without an extra assumption. Furthermore we state a new condition which generalizes condition (A) and allow us to generalize several known results, such as, Bharucha-Reid [5, Theorem 7], Domínguez Benavides et al. [6, Theorem 3.1] and Shahzad [2, Theorem 2.1].
Let be a measurable space and let be a metric space. A mapping , is said to be measurable if is measurable for each open subset of . This type of measurability is usually called weakly (cf. ), but since this is the only type of measurability we use in this paper, we omit the term "weakly". Notice that if is separable and if, for each closed subset of , the set is measurable, then is measurable.
Let be a nonempty subset of and , then we say that is lower (upper) semi-continuous if is open (closed) for all open (closed) subsets of . We say that is continuous if is lower and upper semi-continuous.
A mapping is called a random operator if, for each , the mapping is measurable. Similarly a multivalued mapping is also called a random operator if, for each , is measurable. A measurable mapping is called a measurable selection of the operator if for each . A measurable mapping is called a random fixed point of the random operator (or ) if for every (or ). For the sake of clarity, we mention that
Let be a closed subset of the Banach space , and suppose that is a mapping from into the topological vector space . We say the is demiclosed at if, for any sequences in and in with , converges weakly to and converges strongly to , then it is the case that and . On the other hand, we say that is hemicompact if each sequence in has a convergent subsequence, whenever as .
3. Main Results
Since , we conclude that is measurable. Additionally, we show that is closed for each . To see this, let such that . Then, let be a degenerated ball centered at and radius , and since , implies that . Hence and thus by the Kuratowski and Ryll-Nardzewski Theorem , has a measurable selection such that for each .
As a consequence of Theorem 3.1, we derive a new result for a lower semi-continuous random operator.
Now, we derive several consequences of Theorem 3.2. We first obtain an extension of one of the main results of .
Before we give an extension of the main result of , we observe that is basically applied to those closed balls directly used to prove the measurability of the mapping , as will be seen in the proof of the next result.
Next, we get a stochastic version of Schauder's Theorem, which is also an extension of a Theorem of Bharucha-Reid (see [5, Theorem 10]). We also observe that our proof is much easier and quite short.
As we know, every Fréchet space is a complete metric space, and since is compact, itself is a complete separable metric space. In addition, for each , there exists such that . This means that the set , defined in Theorem 3.1, is nonempty. Since is compact, any sequence in contains a convergent subsequence, which means that is trivially a hemicompact operator. Consequently, by Theorem 3.4, has a random fixed point.
Next, one can derive a corollary of the proof of Theorem 3.7, which is a theorem of Hans .
Let be a complete separable metric space, and let be a continuous random operator. Suppose, for each , that there exists such that is a contraction with constant . Then has a unique random fixed point.
As in the proof of the theorem, the mapping has a unique fixed point for each . The rest of the proof follows the proof of the theorem with the appropriate changes of the second power of by the power of .
This work was partially supported by Dirección de Investigación e Innovación de la Pontificia Universidad Católica de Valparaíso under grant 124.719/2009. In addition, the first author was supported by Laboratory of Stochastic Analysis PBCT-ACT 13.
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