209 research outputs found
Multivariate Juggling Probabilities
We consider refined versions of Markov chains related to juggling introduced
by Warrington. We further generalize the construction to juggling with
arbitrary heights as well as infinitely many balls, which are expressed more
succinctly in terms of Markov chains on integer partitions. In all cases, we
give explicit product formulas for the stationary probabilities. The
normalization factor in one case can be explicitly written as a homogeneous
symmetric polynomial. We also refine and generalize enriched Markov chains on
set partitions. Lastly, we prove that in one case, the stationary distribution
is attained in bounded time.Comment: 28 pages, 5 figures, final versio
Toss and Spin Juggling State Graphs
We review the state approach to toss juggling and extend the approach to spin
juggling, a new concept. We give connections to current research on random
juggling and describe a professional-level juggling performance that further
demonstrates the state graphs and their research.Comment: 8 pages, 10 figures, to appear in the Proceedings of Bridges 201
Bumping sequences and multispecies juggling
Building on previous work by four of us (ABCN), we consider further
generalizations of Warrington's juggling Markov chains. We first introduce
"multispecies" juggling, which consist in having balls of different weights:
when a ball is thrown it can possibly bump into a lighter ball that is then
sent to a higher position, where it can in turn bump an even lighter ball, etc.
We both study the case where the number of balls of each species is conserved
and the case where the juggler sends back a ball of the species of its choice.
In this latter case, we actually discuss three models: add-drop, annihilation
and overwriting. The first two are generalisations of models presented in
(ABCN) while the third one is new and its Markov chain has the ultra fast
convergence property. We finally consider the case of several jugglers
exchanging balls. In all models, we give explicit product formulas for the
stationary probability and closed form expressions for the normalisation factor
if known.Comment: 25 pages, 9 figures (v3: final version, several typos and figures
fixed
Schubert calculus and shifting of interval positroid varieties
Consider k x n matrices with rank conditions placed on intervals of columns.
The ranks that are actually achievable correspond naturally to upper triangular
partial permutation matrices, and we call the corresponding subvarieties of
Gr(k,n) the _interval positroid varieties_, as this class lies within the class
of positroid varieties studied in [Knutson-Lam-Speyer]. It includes Schubert
and opposite Schubert varieties, and their intersections, and is Grassmann dual
to the projection varieties of [Billey-Coskun].
Vakil's "geometric Littlewood-Richardson rule" [Vakil] uses certain
degenerations to positively compute the H^*-classes of Richardson varieties,
each summand recorded as a (2+1)-dimensional "checker game". We use his same
degenerations to positively compute the K_T-classes of interval positroid
varieties, each summand recorded more succinctly as a 2-dimensional "K-IP pipe
dream". In Vakil's restricted situation these IP pipe dreams biject very simply
to the puzzles of [Knutson-Tao].
We relate Vakil's degenerations to Erd\H os-Ko-Rado shifting, and include
results about computing "geometric shifts" of general T-invariant subvarieties
of Grassmannians.Comment: 35 pp; this subsumes and obviates the unpublished
http://arxiv.org/abs/1008.430
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