Two local conditions on the vertex stabiliser of arc-transitive graphs and their effect on the Sylow subgroups

Mathematics – Group Theory

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Scientific paper

In this paper we study $G$-arc-transitive graphs $\Delta$ where the permutation group $G_x^{\Delta(x)}$ induced by the stabiliser $G_x$ of the vertex $x$ on the neighbourhood $\Delta(x)$ satisfies the two conditions given in the introduction. We show that for such a $G$-arc-transitive graph $\Delta$, if $(x,y)$ is an arc of $\Delta$, then the subgroup $G_{x,y}^{[1]}$ of $G$ fixing pointwise $\Delta(x)$ and $\Delta(y)$ is a $p$-group for some prime $p$. Next we prove that every $G$-locally primitive (respectively quasiprimitive, semiprimitive) graph satisfies our two local hypotheses. Thus this provides a new Thompson-Wielandt-like theorem for a very large class of arc-transitive graphs. Furthermore, we give various families of $G$-arc-transitive graphs where our two local conditions do not apply and where $G_{x,y}^{[1]}$ has arbitrarily large composition factors.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Two local conditions on the vertex stabiliser of arc-transitive graphs and their effect on the Sylow subgroups does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Two local conditions on the vertex stabiliser of arc-transitive graphs and their effect on the Sylow subgroups, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Two local conditions on the vertex stabiliser of arc-transitive graphs and their effect on the Sylow subgroups will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-558328

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.