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© Electronic Publishing House

RECURSIVE FORMULAE FOR THE MULTIPLICATIVE PARTITION FUNCTION

JUN KYO KIM and SANG GUEN HAHN (Received 28 February 1996)

Abstract.For a positive integern, letf (n)be the number of essentially different ways of writingnas a product of factors greater than 1, where two factorizations of a positive integer are said to be essentially the same if they differ only in the order of the factors.

This paper gives a recursive formula for the multiplicative partition functionf (n).

Keywords and phrases. Partitions, multiplicative partitions.

1991 Mathematics Subject Classification. 11P82.

A multi-partite number of order j is aj-dimensional vector, the components of which are nonnegative integers. A partition of(n1,n2,...,nj)is a solution of the vector equation

k

n1k,n2k,...,njk

=

n1,n2,...,nj

(1)

in multi-partition numbers other than (0,0,...,0). Two partitions which differ only in the order of the multi-partite numbers are regarded as identical. We denote by p(n1,n2,...,nj)the number of different partitions of (n1,n2,...,nj). For example, p(3)=3 since 3=2+1=1+1+1 and p(2,1)=4 since (2,1)=(2,0)+(0,1)= (1,0)+(1,0)+(1,0)=(1,0)+(1,1). Letf (1)=1 and for any integern >1, letf (n) be the number of essentially different ways of writingnas a product of factors greater than 1, where two factorizations of a positive integer are said to be essentially the same if they differ only in the order of the factors. For example,f (12)p(2,1)=4 since 12= 2·6=3·4=2·2·3. In general, ifn=pn11pn22···pnjj, thenf (n)=p(n1,n2,...,nj).

We find recursive formulas for the multi-partite partition functionp(n1,n2,...,nj).

The most useful formula known to this day for actual evaluation of the multi-partite partition function is presented in Theorem 4.

For convenience, we define some sets used in this paper. For a positive integerr, letMr0be the set ofr-dimensional vectors with nonnegative integer components and Mr be the set ofr-dimensional vectors with nonnegative integer components not all of which are zero. The following three theorems are well known.

Theorem1(Euler [3]; see also [1, p. 2]). Ifn≥0, then

p(n)= ∞ m=1

(−1)m+1

p n−1

2m(3m−1) +p

n−1

2(3m+1)

, (2)

where we recall thatp(k)=0for all negative integersk.

(2)

214 JUN KYO KIM AND SANG GUEN HAHN Theorem2. Ifn≥0, thenp(0)=1and

n·p(n)= n k=1

σ (k)·p(n−k), (3)

whereσ (m)=

d|md.

Theorem3([1, Ch. 12]). Ifg(x1,x2,...,xr)is the generating function forp(n)and

|xi|<1fori≤r, then

g(x1,x2,...,xr)=

n∈Mr

1 1−x1n1x2n2···xrnr

=1+

m∈M r

p( m)xm11xm22···xmrr. (4)

Similarly, we can extend the equation of Theorem 2 to multi-partite numbers as follows.

Theorem4. Forn∈Mr, we have

ni·p(n)=

lj≤njforj≤r l∈Mr

σ gcd[l]

gcd[l] ·li·p n−l

. (5)

Proof. Letg(x1,x2,...,xr)be the function defined in Theorem 3. Taking theith partial logarithmic derivative of the product formula forg(x1,x2,...,xr)in (4), we get

∂g(x1,x2,...,xr)

∂xi · xi

g(x1,x2,...,xr)=

l∈Mr

li·r

j=1xjlj 1−r

j=1xljj

=

l∈Mr

∞ k=1

li·

r

j=1

xljj

k

.

(6)

Taking theith partial derivative of the right-hand side of (4), we get

n∈Mr

ni·p(n)xn11xn22·xnrr =∂g(x1,x2,...,xr)

∂xi ·xi

=g(x1,x2,...,xr)

t∈Mr

∞ k=1

ti·

r

j=1

xjtj

k

=

m∈M0r

p( m)x1m1x2m2···xrmr

t∈Mr

∞ k=1

ti·

r

j=1

xtjj

k

. (7) Comparing the coefficients of both sides of (7), we get

(3)

ni·p(n)=

m,t∈M0r,k∈M1 m+kt=n

ti·p( m)

=

l∈Mr

p n−l

k|gcd(l)

li

k

=

lj≤njforj≤r l∈Mr

σ gcd[l]

gcd[l] ·li·p n−l

.

(8)

The theorem is proved.

Corollary5. Forn∈Mr, we have

r

i=1

ni

·p(n)=

lj≤njforj≤r l∈Mr

σ gcd[l]

gcd[l]

r

i=1

li

·p n−l

. (9)

For positive integersmandn, let

(m,n)= max

k|m n1/kis an integer

k. (10)

The following properties of(m,n)are easy to obtain:

(1) (m,pn11pn22·pknk)=gcd(m,n1,n2,...,nk)

(2) (m,nk)=gcd[(m,n),(mk)]forgcd(n,k)=1 (3) (mk,n)=(m,n)·(k,n)forgcd(m,k)=1.

From the point of view of the multiplicative partition function, Theorem 4 can be restated as the following theorem.

Theorem6. let n,t be positive integers and letp be a prime number such that pm. Then we get

t·f mpt

= t i=1

l|m

σ (i,l) (i,l) i·f

m l pt−i

. (11)

In [4], MacMahon presents a table of values off (n)for thosenwhich divide one of 210·38, 210·3·5, 29·32·51, 28·33·51, 26·32·52, 25·33·52. In [2], Canfield, Erdös, and Pomerance commented that they doubted the correctness of MacMahon’s figures.

Specifically,

p(10,5)=3804, not 3737, (12)

p(9,8)=13715, not 13748, (13)

p(10,8)=21893, not 21938, (14)

p(4,1,1)=38, not 28. (15)

From Theorem 4 we can easily be sure that Canfield, Erdös and Pomerance comment is true.

(4)

216 JUN KYO KIM AND SANG GUEN HAHN References

[1] G. E. Andrews,The theory of partitions, Encyclopedia of Mathematics and its Applications, vol. 2, Addison-Wesley Publishing Co., London,Amsterdam, 1976. MR 58 27738.

Zbl 371.10001.

[2] E. R. Canfield, Paul Erdos, and Carl Pomerance,On a problem of Oppenheim concerning

“factorisatio numerorum”, J. Number Theory17(1983), no. 1, 1–28. MR 85j:11012.

Zbl 513.10043.

[3] L. Euler,Introductio in Analysin Infinitorum, ch. 16, Marcum-Michaelem Bousquet Lausan- nae, 1748 (Latin).

[4] P. A. Macmahon,The enumeration of the partitions of multipartite numbers, Math. Proc.

Cambridge Philos. Soc.22(1927), 951–963.

Kim and Hahn: Korea Advanced Institute of Science and Technology373-1, Kusong Don, Yusung Gu, Taejon305-701, South Korea

(5)

Special Issue on

Intelligent Computational Methods for Financial Engineering

Call for Papers

As a multidisciplinary field, financial engineering is becom- ing increasingly important in today’s economic and financial world, especially in areas such as portfolio management, as- set valuation and prediction, fraud detection, and credit risk management. For example, in a credit risk context, the re- cently approved Basel II guidelines advise financial institu- tions to build comprehensible credit risk models in order to optimize their capital allocation policy. Computational methods are being intensively studied and applied to im- prove the quality of the financial decisions that need to be made. Until now, computational methods and models are central to the analysis of economic and financial decisions.

However, more and more researchers have found that the financial environment is not ruled by mathematical distribu- tions or statistical models. In such situations, some attempts have also been made to develop financial engineering mod- els using intelligent computing approaches. For example, an artificial neural network (ANN) is a nonparametric estima- tion technique which does not make any distributional as- sumptions regarding the underlying asset. Instead, ANN ap- proach develops a model using sets of unknown parameters and lets the optimization routine seek the best fitting pa- rameters to obtain the desired results. The main aim of this special issue is not to merely illustrate the superior perfor- mance of a new intelligent computational method, but also to demonstrate how it can be used effectively in a financial engineering environment to improve and facilitate financial decision making. In this sense, the submissions should es- pecially address how the results of estimated computational models (e.g., ANN, support vector machines, evolutionary algorithm, and fuzzy models) can be used to develop intelli- gent, easy-to-use, and/or comprehensible computational sys- tems (e.g., decision support systems, agent-based system, and web-based systems)

This special issue will include (but not be limited to) the following topics:

• Computational methods: artificial intelligence, neu- ral networks, evolutionary algorithms, fuzzy inference, hybrid learning, ensemble learning, cooperative learn- ing, multiagent learning

• Application fields: asset valuation and prediction, as- set allocation and portfolio selection, bankruptcy pre- diction, fraud detection, credit risk management

• Implementation aspects: decision support systems, expert systems, information systems, intelligent agents, web service, monitoring, deployment, imple- mentation

Authors should follow the Journal of Applied Mathemat- ics and Decision Sciences manuscript format described at the journal site http://www.hindawi.com/journals/jamds/.

Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Track- ing System athttp://mts.hindawi.com/, according to the fol- lowing timetable:

Manuscript Due December 1, 2008 First Round of Reviews March 1, 2009 Publication Date June 1, 2009

Guest Editors

Lean Yu,Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100190, China;

Department of Management Sciences, City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong;

[email protected]

Shouyang Wang,Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100190, China; [email protected]

K. K. Lai,Department of Management Sciences, City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong; [email protected]

Hindawi Publishing Corporation http://www.hindawi.com

Internat. J. Math. & Math. Sci. © Electronic Publishing House MR 58 27738. Zbl 371.10001. MR 85j:11012. Zbl 513.10043. http://www.hindawi.com/journals/jamds/. http://mts.hindawi.com/,

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