Large set (combinatorics) explained
In combinatorial mathematics, a large set of positive integers
is one such that the infinite sum of the reciprocals
diverges. A small set is any subset of the positive integers that is not large; that is, one whose sum of reciprocals converges.
Large sets appear in the Müntz–Szász theorem and in the Erdős conjecture on arithmetic progressions.
Examples
- Every finite subset of the positive integers is small.
- The set
of all positive integers is a large set; this statement is equivalent to the divergence of the
harmonic series. More generally, any
arithmetic progression (i.e., a set of all integers of the form
an +
b with
a ≥ 1,
b ≥ 1 and
n = 0, 1, 2, 3, ...) is a large set.
- The set of square numbers is small (see Basel problem). So is the set of cube numbers, the set of 4th powers, and so on. More generally, the set of positive integer values of any polynomial of degree 2 or larger forms a small set.
- The set of powers of 2 is a small set, and so is any geometric progression (i.e., a set of numbers of the form of the form abn with a ≥ 1, b ≥ 2 and n = 0, 1, 2, 3, ...).
- The set of prime numbers is large. The set of twin primes is small (see Brun's constant).
- The set of prime powers which are not prime (i.e., all numbers of the form pn with n ≥ 2 and p prime) is small although the primes are large. This property is frequently used in analytic number theory. More generally, the set of perfect powers is small; even the set of powerful numbers is small.
- The set of numbers whose expansions in a given base exclude a given digit is small. For example, the set
\{1,2,...,5,6,8,9,...,15,16,18,19,...,65,66,68,69,80,81,...\}
of integers whose decimal expansion does not include the digit 7 is small. Such series are called Kempner series.
Properties
- Every subset of a small set is small.
- The union of finitely many small sets is small, because the sum of two convergent series is a convergent series. (In set theoretic terminology, the small sets form an ideal.)
- The complement of every small set is large.
- The Müntz–Szász theorem states that a set
is large if and only if the set of polynomials spanned by
is
dense in the
uniform norm topology of
continuous functions on a closed interval in the positive real numbers. This is a generalization of the
Stone–Weierstrass theorem.
Open problems involving large sets
Paul Erdős conjectured that all large sets contain arbitrarily long arithmetic progressions. He offered a prize of $3000 for a proof, more than for any of his other conjectures, and joked that this prize offer violated the minimum wage law.[1] The question is still open.
It is not known how to identify whether a given set is large or small in general. As a result, there are many sets which are not known to be either large or small.
See also
References
- A. D. Wadhwa (1975). An interesting subseries of the harmonic series. American Mathematical Monthly 82 (9) 931 - 933.
Notes and References
- [Carl Pomerance]