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In algebra and number theory, a distribution is a function on a system of finite sets into an abelian group which is analogous to an integral: it is thus the algebraic analogue of a distribution in the sense of generalised function.

The original examples of distributions occur, unnamed, as functions φ on Q/Z satisfying[1]

r=0N1ϕ(x+rN)=ϕ(Nx).

We shall call these ordinary distributions.[2] They also occur in p-adic integration theory in Iwasawa theory.[3]

Let ... → Xn+1Xn → ... be a projective system of finite sets with surjections, indexed by the natural numbers, and let X be their projective limit. We give each Xn the discrete topology, so that X is compact. Let φ = (φn) be a family of functions on Xn taking values in an abelian group V and compatible with the projective system:

w(m,n)yxϕ(y)=ϕ(x)

for some weight function w. The family φ is then a distribution on the projective system X.

A function f on X is "locally constant", or a "step function" if it factors through some Xn. We can define an integral of a step function against φ as

fdϕ=xXnf(x)ϕn(x).

The definition extends to more general projective systems, such as those indexed by the positive integers ordered by divisibility. As an important special case consider the projective system Z/nZ indexed by positive integers ordered by divisibility. We identify this with the system (1/n)Z/Z with limit Q/Z.

For x in R we let ⟨x⟩ denote the fractional part of x normalised to 0 ≤ ⟨x⟩ < 1, and let {x} denote the fractional part normalised to 0 < {x} ≤ 1.

Examples

Hurwitz zeta function

The multiplication theorem for the Hurwitz zeta function

ζ(s,a)=n=0(n+a)s

gives a distribution relation

p=0q1ζ(s,a+p/q)=qsζ(s,qa).

Hence for given s, the map tζ(s,{t}) is a distribution on Q/Z.

Bernoulli distribution

Recall that the Bernoulli polynomials Bn are defined by

Bn(x)=k=0n(nnk)bkxnk,

for n ≥ 0, where bk are the Bernoulli numbers, with generating function

textet1=n=0Bn(x)tnn!.

They satisfy the distribution relation

Bk(x)=nk1a=0n1bk(x+an).

Thus the map

ϕn:1n/

defined by

ϕn:xnk1Bk(x)

is a distribution.[4]

Cyclotomic units

The cyclotomic units satisfy distribution relations. Let a be an element of Q/Z prime to p and let ga denote exp(2πia)−1. Then for a≠ 0 we have[5]

pb=agb=ga.

Universal distribution

We consider the distributions on Z with values in some abelian group V and seek the "universal" or most general distribution possible.

Stickelberger distributions

Let h be an ordinary distribution on Q/Z taking values in a field F. Let G(N) denote the multiplicative group of Z/NZ, and for any function f on G(N) we extend f to a function on Z/NZ by taking f to be zero off G(N). Define an element of the group algebra F[G(N)] by

gN(r)=1|G(N)|aG(N)h(raN)σa1.

The group algebras form a projective system with limit X. Then the functions gN form a distribution on Q/Z with values in X, the Stickelberger distribution associated with h.

p-adic measures

Consider the special case when the value group V of a distribution φ on X takes values in a local field K, finite over Qp, or more generally, in a finite-dimensional p-adic Banach space W over K, with valuation |·|. We call φ a measure if |φ| is bounded on compact open subsets of X.[6] Let D be the ring of integers of K and L a lattice in W, that is, a free D-submodule of W with KL = W. Up to scaling a measure may be taken to have values in L.

Hecke operators and measures

Let D be a fixed integer prime to p and consider ZD, the limit of the system Z/pnD. Consider any eigenfunction of the Hecke operator Tp with eigenvalue λp prime to p. We describe a procedure for deriving a measure of ZD.

Fix an integer N prime to p and to D. Let F be the D-module of all functions on rational numbers with denominator coprime to N. For any prime l not dividing N we define the Hecke operator Tl by

(Tlf)(ab)=f(lab)+k=0l1f(a+kblb)k=0l1f(kl).

Let f be an eigenfunction for Tp with eigenvalue λp in D. The quadratic equation X2 − λpX + p = 0 has roots π1, π2 with π1 a unit and π2 divisible by p. Define a sequence a0 = 2, a1 = π12λp and

ak+2=λpak+1pak,

so that

ak=π1k+π2k.

References

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  1. Kubert & Lang (1981) p.1
  2. Lang (1990) p.53
  3. Mazur & Swinnerton-Dyer (1972) p. 36
  4. Lang (1990) p.36
  5. Lang (1990) p.157
  6. Mazur & Swinnerton-Dyer (1974) p.37