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Iterative approximation of common attractive points of further generalized hybrid mappings
Our purpose in this paper is (i) to introduce the concept of further
generalized hybrid mappings (ii) to introduce the concept of common attractive
points (CAP) (iii) to write and use Picard-Mann iterative process for two
mappings. We approximate common attractive points of further generalized hybrid
mappings by using iterative process due to Khan SHK generalized to
the case of two mappings in Hilbert spaces without closedness assumption. Our
results are generalizations and improvements of several results in the
literature in different ways.Comment: 12 pages of pdf file created form this tex fil
Universality of slow decorrelation in KPZ growth
There has been much success in describing the limiting spatial fluctuations
of growth models in the Kardar-Parisi-Zhang (KPZ) universality class. A proper
rescaling of time should introduce a non-trivial temporal dimension to these
limiting fluctuations. In one-dimension, the KPZ class has the dynamical
scaling exponent , that means one should find a universal space-time
limiting process under the scaling of time as , space like
and fluctuations like as .
In this paper we provide evidence for this belief. We prove that under
certain hypotheses, growth models display temporal slow decorrelation. That is
to say that in the scalings above, the limiting spatial process for times and are identical, for any . The hypotheses are known
to be satisfied for certain last passage percolation models, the polynuclear
growth model, and the totally / partially asymmetric simple exclusion process.
Using slow decorrelation we may extend known fluctuation limit results to
space-time regions where correlation functions are unknown.
The approach we develop requires the minimal expected hypotheses for slow
decorrelation to hold and provides a simple and intuitive proof which applied
to a wide variety of models.Comment: Exposition improved, typos correcte
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