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==MST on complete graphs with random weights== [[Alan M. Frieze]] showed that given a [[complete graph]] on ''n'' vertices, with edge weights that are independent identically distributed random variables with distribution function <math>F</math> satisfying <math>F'(0) > 0</math>, then as ''n'' approaches [[Extended real number line|+∞]] the expected weight of the MST approaches <math>\zeta(3)/F'(0)</math>, where <math>\zeta</math> is the [[Riemann zeta function]] (more specifically is <math>\zeta(3)</math> [[Apéry's constant]]). Frieze and [[J. Michael Steele|Steele]] also proved convergence in probability. [[Svante Janson]] proved a [[central limit theorem]] for weight of the MST. For uniform random weights in <math>[0,1]</math>, the exact expected size of the minimum spanning tree has been computed for small complete graphs.<ref>{{citation | last = Steele | first = J. Michael | author-link = J. Michael Steele | contribution = Minimal spanning trees for graphs with random edge lengths | mr = 1940139 | location = Basel | pages = 223–245 | publisher = Birkhäuser | series = Trends Math. | title = Mathematics and computer science, II (Versailles, 2002) | year = 2002}}</ref> {| class="wikitable" |- !Vertices !Expected size !Approximate expected size |- |2 |{{center|{{sfrac|1|2}}}} |0.5 |- |3 |{{center|{{sfrac|3|4}}}} |0.75 |- |4 |{{center|{{sfrac|31|35}}}} |0.8857143 |- |5 |{{center|{{sfrac|893|924}}}} |0.9664502 |- |6 |{{center|{{sfrac|278|273}}}} |1.0183151 |- |7 |{{center|{{sfrac|30739|29172}}}} |1.053716 |- |8 |{{center|{{sfrac|199462271|184848378}}}} |1.0790588 |- |9 |{{center|{{sfrac|126510063932|115228853025}}}} |1.0979027 |}
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