570 research outputs found
Gradient estimates for perturbed Ornstein-Uhlenbeck semigroups on infinite dimensional convex domains
Let be a separable Hilbert space endowed with a non-degenerate centred
Gaussian measure and let be the maximum eigenvalue of the
covariance operator associated with . The associated Cameron--Martin
space is denoted by . For a sufficiently regular convex function
and a convex set , we set
and we consider the semigroup
generated by the self-adjoint operator defined via the quadratic form
where belong to , the Sobolev space defined
as the domain of the closure in of , the gradient
operator along the directions of .
A suitable approximation procedure allows us to prove some pointwise gradient
estimates for . In particular, we show that for any and . We deduce some relevant consequences of the previous
estimate, such as the logarithmic Sobolev inequality and the Poincar\'e
inequality in for the measure and some improving summability
properties for . In addition we prove that if
belongs to for some , then where is a positive constant depending only
on . Finally we investigate on the asymptotic behaviour of the semigroup
as goes to infinity
-estimates for parabolic systems with unbounded coefficients coupled at zero and first order
We consider a class of nonautonomous parabolic first-order coupled systems in
the Lebesgue space , with . Sufficient conditions for the associated evolution operator in to extend to a strongly
continuous operator in are given. Some
- estimates are also established together with gradient
estimates
Two characterization of BV functions on Carnot groups via the heat semigroup
In this paper we provide two different characterizations of sets with finite
perimeter and functions of bounded variation in Carnot groups, analogous to
those which hold in Euclidean spaces, in terms of the short-time behaviour of
the heat semigroup. The second one holds under the hypothesis that the reduced
boundary of a set of finite perimeter is rectifiable, a result that presently
is known in Step 2 Carnot groups
Structural Prediction of ProteinâProtein Interactions by Docking: Application to Biomedical Problems
A huge amount of genetic information is available thanks to the recent advances in sequencing technologies and the larger computational capabilities, but the interpretation of such genetic data at phenotypic level remains elusive. One of the reasons is that proteins are not acting alone, but are specifically interacting with other proteins and biomolecules, forming intricate interaction networks that are essential for the majority of cell processes and pathological conditions. Thus, characterizing such interaction networks is an important step in understanding how information flows from gene to phenotype. Indeed, structural characterization of proteinâprotein interactions at atomic resolution has many applications in biomedicine, from diagnosis and vaccine design, to drug discovery. However, despite the advances of experimental structural determination, the number of interactions for which there is available structural data is still very small. In this context, a complementary approach is computational modeling of protein interactions by docking, which is usually composed of two major phases: (i) sampling of the possible binding modes between the interacting molecules and (ii) scoring for the identification of the correct orientations. In addition, prediction of interface and hot-spot residues is very useful in order to guide and interpret mutagenesis experiments, as well as to understand functional and mechanistic aspects of the interaction. Computational docking is already being applied to specific biomedical problems within the context of personalized medicine, for instance, helping to interpret pathological mutations involved in proteinâprotein interactions, or providing modeled structural data for drug discovery targeting proteinâprotein interactions.Spanish Ministry of Economy grant number BIO2016-79960-R; D.B.B. is supported by a
predoctoral fellowship from CONACyT; M.R. is supported by an FPI fellowship from the
Severo Ochoa program. We are grateful to the Joint BSC-CRG-IRB Programme in
Computational Biology.Peer ReviewedPostprint (author's final draft
Mean value formulas for classical solutions to some degenerate elliptic equations in Carnot groups
We prove surface and volume mean value formulas for classical solutions to uniformly elliptic equations in divergence form with Hölder continuous coefficients. The kernels appearing in the integrals are supported on the level and superlevel sets of the fundamental solution relative the adjoint differential operator. We then extend the aforementioned formulas to some subelliptic operators on Carnot groups. In this case we rely on the theory of finite perimeter sets on stratified Lie groups
Functional inequalities for some generalised Mehler semigroups
We consider generalised Mehler semigroups and, assuming the existence of an
associated invariant measure , we prove functional integral
inequalities with respect to , such as logarithmic Sobolev and
Poincar\'{e} type. Consequently, some integrability properties of exponential
functions with respect to are deduced
Su alcune generalizzazioni del teorema di Meyers-Serrin
We present a generalisation of Meyers-Serrin theorem, in which we replace the standard weak derivatives in open subsets of âm with finite families of linear differential operators defined on smooth sections of vector bundles on a (not necessarily compact) manifold X.Presentiamo una generalizzazione del teorema di Meyers-Serrin, in cui sostituiamo le derivate deboli in sottoinsiemi aperti di âm con famiglie finite di operatori differenziali lineari, definiti su sezioni regolari di fibrati vettoriali su una varietĂ (non necessariamente compatta) X
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