Total Path Length for Random Recursive Trees
Total path length, or search cost, for a rooted tree is defined as the sum of all root-to-node distances. Let Tn be the total path length for a random recursive tree of order n. Mahmoud [10] showed that Wn := (Tn − E[Tn])/n converges almost surely and in L2 to a nondegenerate limiting random variabl...
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Veröffentlicht in: | Combinatorics, probability & computing probability & computing, 1999-07, Vol.8 (4), p.317-333 |
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creator | DOBROW, ROBERT P. FILL, JAMES ALLEN |
description | Total path length, or search cost, for a rooted tree is defined as the sum of all
root-to-node distances. Let Tn be the total path
length for a random recursive tree of order n. Mahmoud [10] showed that
Wn := (Tn −
E[Tn])/n converges almost surely
and in L2 to a nondegenerate limiting random variable W.
Here we give recurrence relations for the moments of Wn and of
W and show that Wn converges to W in
Lp for each 0 < p < ∞. We confirm the
conjecture that the distribution of W is not normal. We also show that the
distribution of W is characterized among all distributions having zero mean and finite
variance by the distributional identity formula here where [Escr ](x) := − x ln x −
(1 minus; x) ln(1 − x) is the binary entropy function, U
is a uniform (0, 1) random variable, W* and W have the same
distribution, and U, W and W* are mutually independent.
Finally, we derive an approximation for the distribution of W using a Pearson
curve density estimator. |
doi_str_mv | 10.1017/S0963548399003855 |
format | Article |
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root-to-node distances. Let Tn be the total path
length for a random recursive tree of order n. Mahmoud [10] showed that
Wn := (Tn −
E[Tn])/n converges almost surely
and in L2 to a nondegenerate limiting random variable W.
Here we give recurrence relations for the moments of Wn and of
W and show that Wn converges to W in
Lp for each 0 < p < ∞. We confirm the
conjecture that the distribution of W is not normal. We also show that the
distribution of W is characterized among all distributions having zero mean and finite
variance by the distributional identity formula here where [Escr ](x) := − x ln x −
(1 minus; x) ln(1 − x) is the binary entropy function, U
is a uniform (0, 1) random variable, W* and W have the same
distribution, and U, W and W* are mutually independent.
Finally, we derive an approximation for the distribution of W using a Pearson
curve density estimator.</description><identifier>ISSN: 0963-5483</identifier><identifier>EISSN: 1469-2163</identifier><identifier>DOI: 10.1017/S0963548399003855</identifier><language>eng</language><publisher>Cambridge University Press</publisher><ispartof>Combinatorics, probability & computing, 1999-07, Vol.8 (4), p.317-333</ispartof><rights>1999 Cambridge University Press</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c325t-74e79a934ff4d1b41dc5c8643b9db18fa94b0c5c57bbbe95a0ca423568f38b13</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.cambridge.org/core/product/identifier/S0963548399003855/type/journal_article$$EHTML$$P50$$Gcambridge$$H</linktohtml><link.rule.ids>164,314,780,784,27924,27925,55628</link.rule.ids></links><search><creatorcontrib>DOBROW, ROBERT P.</creatorcontrib><creatorcontrib>FILL, JAMES ALLEN</creatorcontrib><title>Total Path Length for Random Recursive Trees</title><title>Combinatorics, probability & computing</title><addtitle>Combinator. Probab. Comp</addtitle><description>Total path length, or search cost, for a rooted tree is defined as the sum of all
root-to-node distances. Let Tn be the total path
length for a random recursive tree of order n. Mahmoud [10] showed that
Wn := (Tn −
E[Tn])/n converges almost surely
and in L2 to a nondegenerate limiting random variable W.
Here we give recurrence relations for the moments of Wn and of
W and show that Wn converges to W in
Lp for each 0 < p < ∞. We confirm the
conjecture that the distribution of W is not normal. We also show that the
distribution of W is characterized among all distributions having zero mean and finite
variance by the distributional identity formula here where [Escr ](x) := − x ln x −
(1 minus; x) ln(1 − x) is the binary entropy function, U
is a uniform (0, 1) random variable, W* and W have the same
distribution, and U, W and W* are mutually independent.
Finally, we derive an approximation for the distribution of W using a Pearson
curve density estimator.</description><issn>0963-5483</issn><issn>1469-2163</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1999</creationdate><recordtype>article</recordtype><recordid>eNp9j19LwzAUxYMoWKcfwLd-AKs3zZ8mjzLcJlSca8HHkLTJ7FxXSTrRb2_Lhi-CTwfuOecefghdY7jFgLO7AiQnjAoiJQARjJ2gCFMukxRzcoqi0U5G_xxdhLABAMY4ROim7Hq9jZe6f4tzu1sP4jofr_Su7tp4Zau9D82njUtvbbhEZ05vg7066gSVs4dyukjy5_nj9D5PKpKyPsmozaSWhDpHa2woritWCU6JkbXBwmlJDQwnlhljrGQaKk1TwrhwRBhMJggf3la-C8Fbpz5802r_rTCokVb9oR06yaHThN5-_Ra0f1c8IxlTfP6iiuWseHoFrGDIk-OGbo1v6rVVm27vdwPWPys_UgJk6w</recordid><startdate>19990701</startdate><enddate>19990701</enddate><creator>DOBROW, ROBERT P.</creator><creator>FILL, JAMES ALLEN</creator><general>Cambridge University Press</general><scope>BSCLL</scope><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>19990701</creationdate><title>Total Path Length for Random Recursive Trees</title><author>DOBROW, ROBERT P. ; FILL, JAMES ALLEN</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c325t-74e79a934ff4d1b41dc5c8643b9db18fa94b0c5c57bbbe95a0ca423568f38b13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1999</creationdate><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>DOBROW, ROBERT P.</creatorcontrib><creatorcontrib>FILL, JAMES ALLEN</creatorcontrib><collection>Istex</collection><collection>CrossRef</collection><jtitle>Combinatorics, probability & computing</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>DOBROW, ROBERT P.</au><au>FILL, JAMES ALLEN</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Total Path Length for Random Recursive Trees</atitle><jtitle>Combinatorics, probability & computing</jtitle><addtitle>Combinator. Probab. Comp</addtitle><date>1999-07-01</date><risdate>1999</risdate><volume>8</volume><issue>4</issue><spage>317</spage><epage>333</epage><pages>317-333</pages><issn>0963-5483</issn><eissn>1469-2163</eissn><abstract>Total path length, or search cost, for a rooted tree is defined as the sum of all
root-to-node distances. Let Tn be the total path
length for a random recursive tree of order n. Mahmoud [10] showed that
Wn := (Tn −
E[Tn])/n converges almost surely
and in L2 to a nondegenerate limiting random variable W.
Here we give recurrence relations for the moments of Wn and of
W and show that Wn converges to W in
Lp for each 0 < p < ∞. We confirm the
conjecture that the distribution of W is not normal. We also show that the
distribution of W is characterized among all distributions having zero mean and finite
variance by the distributional identity formula here where [Escr ](x) := − x ln x −
(1 minus; x) ln(1 − x) is the binary entropy function, U
is a uniform (0, 1) random variable, W* and W have the same
distribution, and U, W and W* are mutually independent.
Finally, we derive an approximation for the distribution of W using a Pearson
curve density estimator.</abstract><pub>Cambridge University Press</pub><doi>10.1017/S0963548399003855</doi><tpages>17</tpages></addata></record> |
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source | Cambridge University Press Journals Complete |
title | Total Path Length for Random Recursive Trees |
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