Paper detail

U-max-Statistics and Limit Theorems for Perimeters and Areas of Random Polygons

Recently W. Lao and M. Mayer [6], [7], [9] considered $U$-max - statistics, where instead of sum appears the maximum over the same set of indices. Such statistics often appear in stochastic geometry. The examples are given by the largest distance between random points in a ball, the maximal diameter of a random polygon, the largest scalar product within a sample of points, etc. Their limit distribution is related to the distribution of extreme values. Among the interesting results obtained in [6], [7], [9] are limit theorems for the maximal perimeter and the maximal area of random triangles inscribed in a circumference. In the present paper we generalize these theorems to convex $m$-polygons, $m \geq 3,$ with random vertices on the circumference. Next, a similar problem is solved for the minimal perimeter and the minimal area of circumscribed $m$-polygons which has not been previously considered in literature. Finally, we discuss the obtained results when $m \to \infty.$

preprint2013arXivOpen access

Signal facts

What is known right now

Open access2 authors1 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.