Sylvester's sequence

[4] Values derived from this sequence have also been used to construct finite Egyptian fraction representations of 1, Sasakian Einstein manifolds,[5] and hard instances for online algorithms.

Alternatively, one may define the sequence by the recurrence[3] It is straightforward to show by induction that this is equivalent to the other definition.

, but they can also be defined by a product formula very similar to that defining Sylvester's sequence:[12] The unit fractions formed by the reciprocals of the values in Sylvester's sequence generate an infinite series:[13] The partial sums of this series have a simple form, which is already in lowest terms.

[14] This may be proved by induction, or more directly by noting that the recursion implies that so the sum telescopes[14] Since this sequence of partial sums (sj − 2)/(sj − 1) converges to one, the overall series forms an infinite Egyptian fraction representation of the number one: One can find finite Egyptian fraction representations of one, of any length, by truncating this series and subtracting one from the last denominator: The sum of the first k terms of the infinite series provides the closest possible underestimate of 1 by any k-term Egyptian fraction.

It is possible to interpret the Sylvester sequence as the result of a greedy algorithm for Egyptian fractions, that at each step chooses the smallest possible denominator that makes the partial sum of the series be less than one.

[17] Erdős & Graham (1980) conjectured that, in results of this type, the inequality bounding the growth of the sequence could be replaced by a weaker condition,[18] Badea (1995) surveys progress related to this conjecture; see also Brown (1979).

They show that the number of distinct Sasakian Einstein metrics on a topological sphere of dimension 2n  − 1 is at least proportional to sn and hence has double exponential growth with n.[5] As Galambos & Woeginger (1995) describe, Brown (1979) and Liang (1980) used values derived from Sylvester's sequence to construct lower bound examples for online bin packing algorithms.

[6] Seiden & Woeginger (2005) similarly use the sequence to lower bound the performance of a two-dimensional cutting stock algorithm.

Solutions to Znám's problem have applications to the classification of surface singularities (Brenton and Hill 1988) and to the theory of nondeterministic finite automata.

[26] Curtiss (1922) describes an application of the closest approximations to one by k-term sums of unit fractions, in lower-bounding the number of divisors of any perfect number, and Miller (1919) uses the same property to upper bound the size of certain groups.

Graphical demonstration of the convergence of the sum 1/2 + 1/3 + 1/7 + 1/43 + ... to 1. Each row of k squares of side length 1/ k has total area 1/ k , and all the squares together exactly cover a larger square with area 1. Squares with side lengths 1/1807 or smaller are too small to see in the figure and are not shown.