<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
<dc:title>Cycles of free words in several independent random permutations with restricted cycle lengths</dc:title>
<dc:creator>Florent Benaych-Georges</dc:creator>
<dc:subject>20B30</dc:subject><dc:subject>60B15</dc:subject><dc:subject>20P05</dc:subject><dc:subject>60C05</dc:subject><dc:subject>random permutation</dc:subject><dc:subject>$A$-permutations</dc:subject><dc:subject>free group</dc:subject>
<dc:description>In this text, we consider random permutations which can be written as free words in several independent random permutations: firstly, we fix a non trivial word $w$ in letters $g_1, g_1^{-1}, \dots, g_k, g_k^{-1}$, secondly, for all $n$, we introduce a $k$-tuple $s_1(n), \dots, s_k(n)$ of independent random permutations of $\{1, \dots, n\}$, and the random permutation $\sigma_n$ we are going to consider is the one obtained by replacing each letter $g_i$ in $w$ by $s_i(n)$. For example, for $w=g_1 g_2 g_3 g_2^{-1}$, $\sigma_n = s_1(n) \circ s_2(n) \circ s_3(n) \circ s_2(n)^{-1}$. Moreover, we restrict the set of possible lengths of the cycles of the $s_i(n)$&#39;s: we fix sets $A_1, \dots, A_k$ of positive integers and suppose that for all $n$, for all $i$, $s_i(n)$ is uniformly distributed on the set of permutations of $\{1, \dots, n\}$ which have all their cycle lengths in $A_i$. For all positive integers $\ell$, we are going to give asymptotics, as $n$ goes to infinity, on the number $N_{\ell}(\sigma_n)$ of cycles of length $\ell$ of $\sigma_n$. We shall also consider the joint distribution of the random vectors $(N_1(\sigma_n), \dots, N_{\ell}(\sigma_n))$. We first prove that the representant of $w$ in a certain quotient of the free group with generators $g_1, \dots, g_k$ determines the rate of growth of the random variables $N_{\ell}(\sigma_n)$ as $n$ goes to infinity. We also prove that in many cases, the distribution of $N_{\ell}(\sigma_n)$ converges to a Poisson law with parameter $1/\ell$ and that the random variables $N_1(\sigma_n), N_2(\sigma_n), \dots$ are asymptotically independent. We notice the surprising fact that from this point of view, many things happen as if $\sigma_n$ were uniformly distributed on the $n$-th symmetric group.</dc:description>
<dc:publisher>Indiana University Mathematics Journal</dc:publisher>
<dc:date>2010</dc:date>
<dc:type>text</dc:type>
<dc:format>pdf</dc:format>
<dc:identifier>10.1512/iumj.2010.59.4119</dc:identifier>
<dc:source>10.1512/iumj.2010.59.4119</dc:source>
<dc:language>en</dc:language>
<dc:relation>Indiana Univ. Math. J. 59 (2010) 1547 - 1586</dc:relation>
<dc:coverage>state-of-the-art mathematics</dc:coverage>
<dc:rights>http://iumj.org/access/</dc:rights>
</oai_dc:dc>