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This asymptotic formula was first obtained by G. H. Hardy and Ramanujan in 1918 and independently by J. V. Uspensky in 1920. Considering p ( 1000 ) {\displaystyle p(1000)} , the asymptotic formula gives about 2.4402 × 10 31 {\displaystyle 2.4402\times 10^{31}} , reasonably close to the exact answer given above (1.415% larger than the true value).
Among the 22 partitions of the number 8, there are 6 that contain only odd parts: 7 + 1; 5 + 3; 5 + 1 + 1 + 1; 3 + 3 + 1 + 1; 3 + 1 + 1 + 1 + 1 + 1; 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1; Alternatively, we could count partitions in which no number occurs more than once. Such a partition is called a partition with distinct parts. If we count the ...
Hardy is a key character, played by Jeremy Irons, in the 2015 film The Man Who Knew Infinity, based on the biography of Ramanujan with the same title. [37] Hardy is a major character in David Leavitt 's historical fiction novel The Indian Clerk (2007), which depicts his Cambridge years and his relationship with John Edensor Littlewood and ...
It is seen to have dimension 0 only in the cases where ℓ = 5, 7 or 11 and since the partition function can be written as a linear combination of these functions [4] this can be considered a formalization and proof of Ramanujan's observation.
The initial idea is usually attributed to the work of Hardy with Srinivasa Ramanujan a few years earlier, in 1916 and 1917, on the asymptotics of the partition function.It was taken up by many other researchers, including Harold Davenport and I. M. Vinogradov, who modified the formulation slightly (moving from complex analysis to exponential sums), without changing the broad lines.
The integers λ k, λ k − 1, ..., λ 1 are the parts of the partition. The number of parts in the partition λ is k and the largest part in the partition is λ k. The rank of the partition λ (whether ordinary or strict) is defined as λ k − k. [1] The ranks of the partitions of n take the following values and no others: [1]
The partition function is commonly used as a probability-generating function for expectation values of various functions of the random variables. So, for example, taking β {\displaystyle \beta } as an adjustable parameter, then the derivative of log ( Z ( β ) ) {\displaystyle \log(Z(\beta ))} with respect to β {\displaystyle \beta }
The Hardy–Ramanujan theorem: the normal order of ω(n), the number of distinct prime factors of n, is log(log(n)); The normal order of Ω(n), the number of prime factors of n counted with multiplicity, is log(log(n)); The normal order of log(d(n)), where d(n) is the number of divisors of n, is log(2) log(log(n)).