Paper detail

The persistence exponents of Gaussian random fields connected by the Lamperti transform

The (fractional) Brownian sheet is a simplest example of a Gaussian random field X whose covariance is the tensor product of a finite number (d) of nonnegative correlation functions of self-similar Gaussian processes. Let Y be the homogeneous Gaussian field obtained by applying to X the Lamperti transform, which involves the exponential change of time and the amplitude normalization to have unit variance. Under some assumptions, we prove the existence of the persistence exponents for both fields, X and Y, and find the relation between them. The exponent for X is the limit of ln1/P{X(t)<1, t in [0,T]^d}/(lnT)^d, T>>1. In terms of Y it has the form lim ln1/P{Y(t)<0,t in TG}/T^d:=Q, T>>1, where G is a suitable d-simplex and T is a similarity coefficient; G can be selected in form [0,c]^d if d=2 . The exponent Q exists for any continuous Gaussian homogeneous field Y with non-negative covariance when G is bounded region with a regular boundary. The problem of the existence and connection of exponents for X and Y was raised by Li and Shao [Ann. Probab. 32:1, 2004] and originally concerned the Brownian sheet.

preprint2021arXivOpen access

Signal facts

What is known right now

Open access1 author1 topic

Next steps

Decide what to do with this paper

Use like or dislike for the fast social read. The more specific scholarly feedback stays available below when needed.

Log in to curate

Reading frame

Keep the important context close to the paper

Keep the important signals around this paper in one place: votes, save state, collection context, reviews and the metadata you need before deciding what to do next.

Institutions

Add specific reaction

Move through the context

Research map

Open full explorer

Move through nearby people, institutions, topics and adjacent work without leaving the paper page.

Building this map preview

BZPEER is loading the nearby papers, people, topics and institutions for this page.

Structured reviews

0 review(s)

ContributeLeave structured feedbackUse the review template when you have a concrete strength, concern or method question.Open review form

No structured reviews yet. High-signal critique starts here.

Work discussion

0 comment(s)

DiscussAdd a high-signal commentKeep quick notes, caveats and replication pointers separate from formal reviews.Open comment form

No discussion yet. The first strong comment sets the tone.