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In modern number theory, the p-adic method or p-adic way of thinking plays an important role. As an example, there are objects called p-adic L-functions which correspond to the Dirichlet L-functions, and in fact the natural setup to understand the Kummer congruence described in Sect. 3.2 is in the context of the p-adic L-functions. To be precise, a modified version (by a suitable “Euler factor”) of Kummer’s congruence guarantees the existence of the p-adic L-function.

To discuss this aspect fully is beyond the scope of this book, but in this chapter we explain the p-adic integral expression of the Bernoulli number and prove Kummer’s congruence using it. Interested readers are advised to read books such as Iwasawa [51] , Washington [100] , Lang [66] .

We assume the basics of p-adic numbers. For this we refer readers to Serre [83, Ch. 1] or Gouvea [37]. The results in this chapter are not used in other chapters.

11.1 Measure on the Ring of p-adic Integers and the Ring of Formal Power Series

In this section we review the general correspondence between measures on the ring of p-adic integers Z p and the ring of formal power series. We use this setup in the next section to define the Bernoulli measure on Z p and to express Bernoulli numbers as integrals. This expression turns out to be very useful in proving Kummer’s congruence relation.

Let \(\overline{\mathbf{Q}}_{p}\) be the algebraic closure of the field Q p of p-adic numbers. The p-adic absolute value \(\vert \vert\) of Q p (normalized by \(\vert p\vert = 1/p\)) is extended uniquely to \(\overline{\mathbf{Q}}_{p}\). We use the same notation \(\vert \vert\) for this extension. Then \(\overline{\mathbf{Q}}_{p}\) is not complete with respect to this absolute value, and the completion is denoted by C p . The absolute value \(\vert \vert\) also extends naturally to C p . Let \(\mathcal{O}_{p}\) be the ring of integers of C p :

$$\displaystyle{\mathcal{O}_{p} =\{ x \in \mathbf{C}_{p}\mid \vert x\vert \leq 1\}.\qquad }$$

Remark 11.1.

Like the complex number field C, the field C p is complete and algebraically closed. To do analysis in the p-adic setting, we need this big field.

First we review the general theory of measures on Z p .

Denote the Z-module Zp n Z by X n and the canonical map from X n+1 to X n by π n+1, so \(\pi _{n+1}: X_{n+1} \rightarrow X_{n}\) is defined by

$$\displaystyle{x\bmod p^{n+1}\mathbf{Z}\longmapsto x\bmod p^{n}\mathbf{Z}.}$$

The system of pairs (X n , π n ) gives a projective system and we have the projective limit \( \displaystyle \lim_{\longleftarrow} \: X_{n}\:\):

$$\displaystyle{\lim _{\longleftarrow }\:X_{n} ={\Bigl \{ (x_{n}) \in \prod _{n\geq 1}X_{n}\mid \pi _{n+1}(x_{n+1}) = x_{n}\Bigr \}}.}$$

The ring of p-adic integers Z p is identified with this projective limit \( \displaystyle \lim_{\longleftarrow} \: X_{n}\:\).

Definition 11.2 (Measure on Z p ).

A set of functions \(\mu =\{\mu _{n}\}_{n=1}^{\infty }\,\) is called an \(\mathcal{O}_{p}\)-valued measure on Z p if the following two conditions are satisfied:

  1. (i)

     Each μ n is an \(\mathcal{O}_{p}\)-valued function on X n , \(\mu _{n}: X_{n}\longrightarrow \mathcal{O}_{p}\,\).

  2. (ii)

    For any n ∈ N and x ∈ X n , the distribution property

    $$\displaystyle{\mu _{n}(x) =\sum _{\begin{array}{c}y\in X_{n+1} \\ \pi _{n+1}(y)=x\end{array}}\,\mu _{n+1}(y)}$$

    holds.

The set of \(\mathcal{O}_{p}\)-valued measures on Z p is denoted by \(\,\mathcal{M}(\mathbf{Z}_{p},\mathcal{O}_{p})\,\). This has an \(\mathcal{O}_{p}\)-module structure. Further, the norm of \(\mu =\{\mu _{n}\} \in \mathcal{M}(\mathbf{Z}_{p},\mathcal{O}_{p})\,\) is defined as

$$\displaystyle {\Vert \mu \Vert = \sup \limits_{n\in \mathbf{N},\;x\in X_{n}} \, \vert \mu_{n}(x) \vert.}$$

Also, the \(\mathcal{O}_{p}\)-module of continuous \(\mathcal{O}_{p}\)-valued functions on Z p is denoted by \(C(\mathbf{Z}_{p},\mathcal{O}_{p})\), and the norm \(\Vert \varphi \Vert\) of an element \(\varphi \in C(\mathbf{Z}_{p},\mathcal{O}_{p})\) is defined by

$$\displaystyle{\Vert \varphi \Vert = \sup \limits_{x\in \mathbf{Z}_{p}}\:\vert \varphi (x)\vert.}$$

For \(\varphi \in C(\mathbf{Z}_{p},\mathcal{O}_{p})\) and \(\mu =\{\mu _{n}\} \in \mathcal{M}(\mathbf{Z}_{p},\mathcal{O}_{p})\,\), the integral on Z p is defined by

$$\displaystyle{\int _{\mathbf{Z}_{p}}\,\varphi (x)d\mu (x) =\lim _{n\rightarrow \infty }\,\sum _{r=0}^{p^{n}-1 }\varphi (r)\mu _{n}(r).}$$

(We use the abbreviated notation μ n (r) for \(\mu _{n}(r\bmod p^{n})\). A similar abbreviation will be used in the following.) The convergence of the limit on the right-hand side is guaranteed by the following estimate: when n < m, we have

$$\displaystyle\begin{array}{rcl} & & \Bigm \vert\sum _{r=0}^{p^{n}-1 }\varphi (r)\mu _{n}(r) -\sum _{l=0}^{p^{m}-1 }\varphi (l)\mu _{m}(l)\Bigm \vert {}\\ & & \quad =\;\biggm \vert\sum _{ r=0}^{p^{n}-1 }{\Bigl (\varphi (r)\mu _{n}(r) -\sum _{q=0}^{p^{m-n}-1 }\varphi (r + p^{n}q)\mu _{ m}(r + p^{n}q)\Bigr )}\Bigm \vert {}\\ & & \quad =\;\Bigm \vert\sum _{ r=0}^{p^{n}-1 }\left (\sum _{q=0}^{p^{m-n}-1 }\left (\varphi (r) -\varphi (r + p^{n}q)\right )\mu _{ m}(r + p^{n}q)\right )\Bigm \vert {}\\ & & \quad \leq \max \limits_{r,\;q}\left \vert \varphi (r) -\varphi (r + p^{n}q)\right \vert \Vert \mu \Vert. {}\\ \end{array}$$

For each natural number k, the binomial polynomial

$$\displaystyle{\binom{t}{k} = \frac{t(t - 1)\cdots (t - k + 1)} {k!} }$$

in t is a continuous function on Z p .

To \(\mu =\{\mu _{n}\} \in \mathcal{M}(\mathbf{Z}_{p},\mathcal{O}_{p})\,\) we associate \(f \in \mathcal{O}_{p}[[X]]\) in the following manner. Set \(\varLambda = \mathcal{O}_{p}[[X]]\), \(\varLambda _{n} = ((1 + X)^{p^{n} } - 1)\varLambda\) and consider the projective system \(\,\{(\varLambda /\varLambda _{n},\varpi _{n})\}\,\) by the natural map \(\varpi _{n}:\varLambda /\varLambda _{n}\longrightarrow \varLambda /\varLambda _{n-1}\). Define f n (X) ∈ ΛΛ n by

$$\displaystyle{f_{n}(X) =\sum _{ r=0}^{p^{n}-1 }\mu _{n}(r)(1 + X)^{r} =\sum _{ r=0}^{p^{n}-1 }\sum _{k=0}^{r}\,\mu _{ n}(r)\binom{r}{k}X^{k} =\sum _{ k=0}^{p^{n}-1 }\,c_{n,k}X^{k}.}$$

Here we understand that the equalities are \(\bmod \,\varLambda _{n}\) and put

$$\displaystyle{c_{n,k} =\sum _{ r=0}^{p^{n}-1 }\,\mu _{n}(r)\binom{r}{k}.}$$

Since we have

$$\displaystyle\begin{array}{rcl} (\varpi _{n}f_{n})(X)& =& \varpi _{n}\left (\sum _{r=0}^{p^{n}-1 }\,\mu _{n}(r)(1 + X)^{r}\right ) {}\\ & =& \varpi _{n}\left (\sum _{r^{{\prime}}=0}^{p^{n-1}-1 }\sum _{l=0}^{p-1}\,\mu _{ n}(r^{{\prime}} + p^{n-1}l)(1 + X)^{r^{{\prime}} }(1 + X)^{p^{n-1}l }\right ) {}\\ & =& \sum _{r^{{\prime}}=0}^{p^{n-1}-1 }\,\mu _{n-1}(r^{{\prime}})(1 + X)^{r^{{\prime}} } {}\\ & =& f_{n-1}(X), {}\\ \end{array}$$

the system (f n ) is an element in the projective limit \( \lim \limits_{\longleftarrow }\,\varLambda /\varLambda _{n}\,\). Now we have the isomorphism

$$\displaystyle{\varLambda \mathop{\cong}\lim _{\longleftarrow }\varLambda /\varLambda _{n},\quad \varLambda \ni g\longmapsto (g_{n}) \in \lim _{\longleftarrow }\varLambda /\varLambda _{n},}$$

where, for g ∈ Λ, the system (g n ) is given by \(g_{n} = g\bmod \varLambda _{n}\). Through this isomorphism, the above {f n } corresponds to f ∈ Λ by

$$\displaystyle{f(X) =\sum _{ m=0}^{\infty }\:c_{ m}X^{m},}$$

where

$$\displaystyle\begin{array}{rcl} c_{m}& =& \lim _{n\rightarrow \infty }\:\sum _{r=0}^{p^{n}-1 }\,\mu _{n}(r)\binom{r}{m} {}\\ & =& \int _{\mathbf{Z}_{p}}\,\binom{x}{m}\,d\mu (x). {}\\ \end{array}$$

We therefore have obtained a map from \(\mathcal{M}(\mathbf{Z}_{p},\mathcal{O}_{p})\) to \(\mathcal{O}_{p}[[X]]\). An important fact is that this map gives a natural isomorphism between \(\mathcal{M}(\mathbf{Z}_{p},\mathcal{O}_{p})\) and the ring of formal power series \(\mathcal{O}_{p}[[X]]\), often referred to as the Iwasawa isomorphism. The way to associate a measure to an element in \(\mathcal{O}_{p}[[X]]\) is described as follows.

For \(f =\sum\nolimits_{ m=0}^{\infty }c_{m}X^{m} \in \mathcal{O}_{p}[[X]]\), define μ = {μ n } by

$$\displaystyle{ \mu _{n}(r) = \frac{1} {p^{n}}\sum _{\zeta ^{p^{n}}=1}\,\zeta ^{-r}f(\zeta -1)\qquad (r \in X_{ n}), }$$
(11.1)

the sum running over all p n-th roots ζ of 1. Since \(\vert \zeta -1\vert < 1\), f(ζ − 1) converges. For each m ≥ 0, we have

$$\displaystyle\begin{array}{rcl} \frac{1} {p^{n}}\sum _{\zeta ^{p^{n}}=1}\,\zeta ^{-r}(\zeta -1)^{m}& =& \frac{1} {p^{n}}\sum _{\zeta ^{p^{n}}=1}\,\sum _{j=0}^{m}\:\zeta ^{-r}\binom{m}{j}(-1)^{m-j}\zeta ^{j} {}\\ & =& \sum _{\stackrel{0\leq j\leq m}{j\equiv r\bmod p^{n}}}\,\binom{m}{j}(-1)^{m-j}. {}\\ \end{array}$$

So this is contained in \(\mathcal{O}_{p}\). In particular, if p n > r > m, then this is zero. When ζ is a primitive p ν-th root of 1 (ν ≥ 1), the equality

$$\displaystyle{\vert \zeta -1\vert ^{\varphi (p^{\nu })} =\vert p\vert \qquad (\varphi \;\mbox{ is the Euler function})}$$

holds and hence

$$\displaystyle{\vert (\zeta -1)^{m}\vert =\vert p^{m/\varphi (p^{\nu })}\vert.}$$

From this, we conclude that p e divides the quantity

$$\displaystyle{\sum _{\begin{array}{c}0\leq j\leq m \\ j\equiv r\bmod p^{n} \end{array}}\,\binom{m}{j}(-1)^{m-j}}$$

for e = mϕ(p n) − n. Therefore,

$$\displaystyle{\mu _{n}(r) =\sum _{ m=0}^{\infty }\,c_{ m}\left ( \frac{1} {p^{n}}\sum _{\zeta ^{p^{n}}=1}\,\zeta ^{-r}(\zeta -1)^{m}\right )}$$

is convergent and the value is in \(\mathcal{O}_{p}\). To check the distribution property (ii) of the measure, we need to calculate the following value:

$$\displaystyle\begin{array}{rcl} \sum \limits_{y\in X_{n+1},\;\pi _{n+1}(y)=x}\,\mu _{n+1}(y)& =& \sum \limits_{a\bmod p}\,\mu _{n+1}(x + p^{n}a) {}\\ & =& \frac{1} {p^{n+1}}\sum \limits_{\zeta ^{p^{n+1}}=1}\left (\sum \limits_{a\bmod p}\,\zeta ^{-(x+p^{n}a) }\right )f(\zeta -1). {}\\ \end{array}$$

Using the identity

$$\displaystyle{\sum _{a\bmod p}\,\zeta ^{-p^{n}a } = \left \{\begin{array}{@{}l@{\quad }l@{}} 0\quad &\mbox{ if $\zeta ^{p^{n} }\neq 1$}, \\ p\quad &\mbox{ if $\zeta ^{p^{n} } = 1$} \end{array} \right.}$$

for a p n+1-th root ζ of 1, we have

$$\displaystyle{\sum _{\begin{array}{c}a\bmod p \\ \zeta ^{p^{n+1}}=1\end{array}}\,\zeta ^{-x-p^{n}a } = p\sum _{\zeta ^{p^{n}}=1}\zeta ^{-x},}$$

so we have

$$\displaystyle{\sum _{\begin{array}{c}y\in X_{n+1} \\ \pi _{n+1}(y)=x\end{array}}\,\mu _{n+1}(y) =\mu _{n}(x)\;}$$

which is to be proved. If we define the formal power series \(\tilde{f} \in \mathcal{O}_{p}[[X]]\) corresponding to this measure defined as before, then the coefficients c k of X k of this series are given by

$$\displaystyle\begin{array}{rcl} c_{k}^{{\prime}}& =& \lim _{ n\rightarrow \infty }\sum _{r=0}^{p^{n}-1 }\mu _{n}(r)\binom{r}{k} {}\\ & =& \lim _{n\rightarrow \infty }\sum _{m=0}^{\infty }c_{ m}\sum _{r=0}^{p^{n}-1 }\binom{r}{k}\sum _{{ 0\leq j\leq m \atop j\equiv r\bmod p^{n}} }\binom{m}{j}(-1)^{m-j}. {}\\ \end{array}$$

We fix k. To calculate the coefficient of c m in the expression of c k in the right-hand side above, we fix m. We have \(\binom{r}{k} = 0\) for k > r so we may assume that k ≤ r. Taking n big enough, we assume that m < p n. Then, if \(j \equiv r\bmod p^{n}\) for some j with 0 ≤ j ≤ m, we have j = r since we also have 0 ≤ r ≤ p n − 1 by definition. So we may assume that k ≤ r = j ≤ m. So the coefficient of c m is given by

$$\displaystyle{\sum _{r=k}^{m}\binom{r}{k}\binom{m}{r}(-1)^{m-r} =\sum _{ i=0}^{m-k}\binom{m - k}{i}\binom{m}{k}(-1)^{m-k-i} = \left \{\begin{array}{cl} 1&\text{ if }m = k, \\ 0&\text{ if }m\neq k. \end{array} \right.}$$

Hence we have \(c_{k}^{{\prime}} = c_{k}\). So we have \(\tilde{f} = f\) and two mappings are inverse with each other and we see that the set \(\mathcal{M}(\mathbf{Z}_{p},\mathcal{O}_{p})\) of \(\mathcal{O}_{p}\)-valued measures and the space of formal power series \(\mathcal{O}_{p}[[X]]\) are bijective.

More precisely, we can introduce a product for both spaces and show that these are isomorphic as \(\mathcal{O}_{p}\) algebras, as given in the following theorem whose complete proof is omitted (see e.g. Lang [66, Ch.4] ).

For two measures \(\mu,\;\nu \in \mathcal{M}(\mathbf{Z}_{p},\mathcal{O}_{p})\), we define an \(\mathcal{O}_{p}\)-valued function (μν) n on X n by

$$\displaystyle{ (\mu {\ast}\nu )_{n}(x) =\sum _{ y=0}^{p^{n}-1 }\:\mu _{n}(y)\nu _{n}(x - y)\qquad (x \in X_{n}). }$$
(11.2)

Then μν = { (μν) n } becomes an element of \(\mathcal{M}(\mathbf{Z}_{p},\mathcal{O}_{p})\). We call this a convolution product of μ and ν. The set \(\mathcal{M}(\mathbf{Z}_{p},\mathcal{O}_{p})\,\) becomes an \(\mathcal{O}_{p}\) algebra by this product μν.

Theorem 11.3 (Iwasawa isomorphism).

Between the space \(\,\mathcal{M}(\mathbf{Z}_{p},\mathcal{O}_{p})\,\) of \(\mathcal{O}_{p}\) -valued measures and the ring of formal power series \(\mathcal{O}_{p}[[X]]\) , there is an \(\mathcal{O}_{p}\) algebra isomorphism \(P: \mathcal{M}(\mathbf{Z}_{p},\mathcal{O}_{p})\longrightarrow \mathcal{O}_{p}[[X]]\) given by

$$\displaystyle{\mathcal{M}(\mathbf{Z}_{p},\mathcal{O}_{p}) \ni \mu =\{\mu _{n}\}\mathop{ \longmapsto } ^{P}f(X) =\sum _{ m=0}^{\infty }\,c_{ m}X^{m} \in \mathcal{O}_{ p}[[X]].}$$

Here, c m is determined by μ:

$$\displaystyle{c_{m} =\int _{\mathbf{Z}_{p}}\,\binom{x}{m}\,d\mu (x),}$$

and conversely μ n is determined by f:

$$\displaystyle{\mu _{n}(x) = \frac{1} {p^{n}}\sum _{\zeta ^{p^{n}}=1}\,\zeta ^{-x}f(\zeta -1).}$$

For convenience of the description below, we recall Mahler’sFootnote 1 theorem giving the necessary and sufficient condition for an \(\mathcal{O}_{p}\)-valued function on Z p to be continuous.

Theorem 11.4.

The function \(\varphi: \mathbf{Z}_{p}\longrightarrow \mathcal{O}_{p}\) is continuous if and only if it can be written as

$$\displaystyle{\varphi (x) =\sum _{ n=0}^{\infty }\:a_{ n}\binom{x}{n},\qquad a_{n} \in \mathcal{O}_{p},\quad \vert a_{n}\vert \longrightarrow 0.}$$

If this is the case, the coefficients a n are uniquely determined by \(\varphi\) and given by

$$\displaystyle{a_{n} =\sum _{ k=0}^{n}(-1)^{n-k}\binom{n}{k}\varphi (k).}$$

We omit the proof (cf. Lang [66, §4.1] ).

If we use Theorem 11.4, we can understand a part of Theorem 11.3 more intuitively as follows. Fix x 0 ∈ Z. Denote by \(\varphi\) the characteristic polynomial of \(x_{0} + p^{n}\mathbf{Z}_{p}\). Then by the definition of the p-adic measure, we see easily that

$$\displaystyle{\int _{\mathbf{Z}_{p}}\varphi (x)d\mu (x) =\mu _{n}(x_{0}).}$$

So if we replace \(\varphi (x)\) by the expansion \(\varphi (x) =\sum\nolimits_{ m=0}^{\infty }a_{m}\binom{x}{m}\) in Theorem 11.4, we have

$$\displaystyle{\mu _{n}(x_{0}) =\sum _{ m=0}^{\infty }a_{ m}c_{m} =\sum _{ m=0}^{\infty }c_{ m}\sum _{k=0}^{m}(-1)^{m-k}\binom{m}{k}\varphi (k).}$$

Now, for any ζ with \(\zeta ^{p^{n} } = 1\), we have

$$\displaystyle{\sum _{m=0}^{\infty }c_{ m}(\zeta -1)^{m} =\sum _{ m=0}^{\infty }c_{ m}\sum _{k=0}^{m}\binom{m}{k}(-1)^{m-k}\zeta ^{k}.}$$

Since \(\varphi (k) = 1\) if \(k \equiv x_{0}\bmod p^{n}\) and \(\varphi (k) = 0\) otherwise, we have

$$\displaystyle{ \frac{1} {p^{n}}\sum _{\zeta ^{p^{n}}=1}\zeta ^{-x_{0} }\sum _{m=0}^{\infty }c_{ m}(\zeta -1)^{m} =\sum _{ m=0}^{\infty }c_{ m}\sum _{k=0}^{m}\binom{m}{k}(-1)^{m-k}\varphi (k).}$$

So we get the expression of μ(x) by f in Theorem 11.3.

We describe here several useful properties of the correspondence P in Theorem 11.3 between measures and formal power series. Let the maximal ideal of \(\mathcal{O}_{p}\) be

$$\displaystyle{\mathcal{P} =\{ z \in \mathcal{O}_{p}\mid \vert z\vert < 1\}.}$$

For \(z \in \mathcal{P}\), define the function (1 + z)x in x by

$$\displaystyle{(1 + z)^{x}:=\sum _{ n=0}^{\infty }\:\binom{x}{n}z^{n}.}$$

By Mahler’s theorem, (1 + z)x is a continuous function of x ∈ Z p . When x is a non-negative integer, this definition of (1 + z)x coincides with the usual binomial expansion . We have the relation

$$\displaystyle{ (1 + z)^{x}(1 + z)^{x^{{\prime}} } = (1 + z)^{x+x^{{\prime}} }\qquad (x,\;x^{{\prime}}\in \mathbf{Z}_{ p}). }$$
(11.3)

This is obvious for x,  x  ∈ N, and the general case for x,  x  ∈ Z p follows from the fact that the set N of natural numbers is dense in Z p .

In the following, we list several properties of measures and corresponding power series, which will be used later.

Property (1).

Let \(z \in \mathcal{P}\). If μ corresponds to f (i.e.  = f), then

$$\displaystyle{f(z) =\int _{\mathbf{Z}_{p}}\,(1 + z)^{x}\,d\mu (x).}$$

In particular, by putting z = 0,

$$\displaystyle{f(0) =\int _{\mathbf{Z}_{p}}\,d\mu (x).}$$

Proof.

Writing \(f(X) = \sum\limits_{n=0}^{\infty }\:c_{ n}X^{n}\:\), we have by Theorem 11.3

$$\displaystyle\begin{array}{rcl} \int _{\mathbf{Z}_{p}}\,(1 + z)^{x}\,d\mu (x)& =& \int _{\mathbf{ Z}_{p}}\:\sum _{n=0}^{\infty }\binom{x}{n}z^{n}\,d\mu (x) {}\\ & =& \sum _{n=0}^{\infty }\,z^{n}\int _{ \mathbf{Z}_{p}}\:\binom{x}{n}\,d\mu (x) {}\\ & =& \sum _{n=0}^{\infty }\,c_{ n}z^{n} = f(z). {}\\ \end{array}$$

 □ 

We call the map λ from \(C(\mathbf{Z}_{p},\mathcal{O}_{p})\) to \(\mathcal{O}_{p}\) a bounded linear functional on \(C(\mathbf{Z}_{p},\mathcal{O}_{p})\) if the following conditions (i), (ii) are satisfied:

  1. (i)

    For any \(\varphi,\;\varphi ^{{\prime}}\in C(\mathbf{Z}_{p},\mathcal{O}_{p})\) and any \(a,\;b \in \mathcal{O}_{p}\),

    $$\displaystyle{\lambda (a\varphi + b\varphi ^{{\prime}}) = a\lambda (\varphi ) + b\lambda (\varphi ^{{\prime}}).}$$
  2. (ii)

    There exists a positive constant M > 0 such that for any \(\varphi \in C(\mathbf{Z}_{p},\mathcal{O}_{p})\),

    $$\displaystyle{\vert \lambda (\varphi )\vert \leq M\Vert \varphi \Vert.}$$

The norm of λ is defined by

$$\displaystyle{\Vert \lambda \Vert =\mathop{ \mathrm{sup}}_{\stackrel{\varphi \in C(\mathbf{Z}_{p},\mathcal{O}_{p})}{\varphi \neq 0}}\:\frac{\vert \lambda (\varphi )\vert } {\Vert \varphi \Vert }.}$$

Let λ be a bounded linear functional on \(C(\mathbf{Z}_{p},\mathcal{O}_{p})\). For x ∈ X n  = Zp n Z, write the characteristic function of x + p n Z p as \(\varphi _{x,\,n}\). If we put

$$\displaystyle{\mu _{n}(x) =\lambda (\varphi _{x,\,n}),}$$

then μ = {μ n } is an \(\mathcal{O}_{p}\)-valued measure on Z p (i.e. \(\mu \in \mathcal{M}(\mathbf{Z}_{p},\mathcal{O}_{p})\)). Conversely, given \(\mu =\{\mu _{n}\} \in \mathcal{M}(\mathbf{Z}_{p},\mathcal{O}_{p})\), if we put

$$\displaystyle{\lambda (\varphi ) =\int _{\mathbf{Z}_{p}}\,\varphi (x)\,d\mu (x),}$$

then λ is a bounded linear functional on \(C(\mathbf{Z}_{p},\mathcal{O}_{p})\). This correspondence between λ and μ is easily seen to be one to one.

Moreover, for \(h \in C(\mathbf{Z}_{p},\mathcal{O}_{p})\) and \(\mu \in \mathcal{M}(\mathbf{Z}_{p},\mathcal{O}_{p})\,\), the map

$$\displaystyle{\varphi \longmapsto \int _{\mathbf{Z}_{p}}\,\varphi (x)h(x)\,d\mu (x),\qquad (\varphi \in C(\mathbf{Z}_{p},\mathcal{O}_{p}))}$$

is a bounded linear functional on \(C(\mathbf{Z}_{p},\mathcal{O}_{p})\). Let be the corresponding measure. It is an interesting problem to compute the formal power series corresponding to the measure when μ corresponds to \(f = P\mu \in \mathcal{O}_{p}[[X]]\). Properties (2) and (3) below give examples of this correspondence.

For \(f \in \mathcal{O}_{p}[[X]]\), put

$$\displaystyle{ (\mathbb{U}f)(X) = f(X) -\frac{1} {p}\sum _{\zeta ^{p}=1}\,f(\zeta (1 + X) - 1). }$$
(11.4)

Since

$$\displaystyle{\frac{1} {p}\sum _{\zeta ^{p}=1}\,\left (\zeta (1 + X) - 1)\right )^{l} \in \mathbf{Z}_{ p}[X]}$$

for non-negative integers l, we have \(\mathbb{U}f \in \mathcal{O}_{p}[[X]]\).

Property (2).

Let \(f \in \mathcal{O}_{p}[[X]]\) and μ f be the corresponding measure. Also, let ψ be the characteristic function of Z p ×. Then the formal power series corresponding to the measure ψ μ f is \(\mathbb{U}f\), i.e., \(\psi \mu _{f} =\mu _{\mathbb{U}f}\). More precisely, we have for any \(\varphi \in C(\mathbf{Z}_{p},\mathcal{O}_{p})\,\)

$$\displaystyle{\int _{\mathbf{Z}_{p}}\,\varphi (x)\psi (x)\,d\mu _{f}(x) =\int _{\mathbf{Z}_{p}}\,\varphi (x)\,d\mu _{\mathbb{U}f}(x).}$$

This can also be written as

$$\displaystyle{\int _{\mathbf{Z}_{p}^{\times }}\,\varphi (x)\,d\mu _{f}(x) =\int _{\mathbf{Z}_{p}}\,\varphi (x)\,d\mu _{\mathbb{U}f}(x).}$$

Proof.

Write the power series corresponding to the measure ψ μ f as g. When \(z \in \mathcal{P}\), by Property (1) we have

$$\displaystyle{g(z) =\int _{\mathbf{Z}_{p}}\,(1 + z)^{x}\psi (x)\,d\mu _{ f}(x).}$$

Let ζ be a pth root of 1. Regarding ψ also as a function on Zp Z via \(\psi (a\bmod p) =\psi (a + p\mathbf{Z}_{p})\), and putting

$$\displaystyle{\hat{\psi }(\zeta ) = \frac{1} {p}\sum _{a\in \mathbf{Z}/p\mathbf{Z}}\,\psi (a)\zeta ^{-a},}$$

(Fourier transform on Zp Z) we have

$$\displaystyle{\psi (a) =\sum _{\zeta ^{p}=1}\,\hat{\psi }(\zeta )\zeta ^{a}}$$

by a simple calculation (inverse Fourier transform). Since

$$\displaystyle{\hat{\psi }(\zeta ) = \left \{\begin{array}{ll} -\frac{1} {p}\quad &\qquad \text{if }\zeta \neq 1, \\ \frac{p-1} {p} \quad &\qquad \text{if }\zeta = 1, \end{array} \right.}$$

by the definition of ψ, we obtain

$$\displaystyle\begin{array}{rcl} g(z)& =& \int _{\mathbf{Z}_{p}}\,(1 + z)^{x}\psi (x)\,d\mu _{ f}(x) {}\\ & =& \int _{\mathbf{Z}_{p}}\,(1 + z)^{x}\sum _{ \zeta ^{p}=1}\,\hat{\psi }(\zeta )\zeta ^{x}\,d\mu _{ f}(x) {}\\ & =& \sum _{\zeta ^{p}=1}\,\hat{\psi }(\zeta )\int _{\mathbf{Z}_{p}}\,(1 + z)^{x}\zeta ^{x}\,d\mu _{ f}(x) {}\\ & =& \sum _{\zeta ^{p}=1}\,\hat{\psi }(\zeta )\int _{\mathbf{Z}_{p}}\,{\Bigl (1 + (\zeta (1 + z) - 1)\Bigr )}^{x}\,d\mu _{ f}(x) {}\\ & =& \sum _{\zeta ^{p}=1}\,\hat{\psi }(\zeta )f(\zeta (1 + z) - 1) = f(z) -\frac{1} {p}\sum _{\zeta ^{p}=1}\,f(\zeta (1 + z) - 1). {}\\ \end{array}$$

This shows \(g = \mathbb{U}f\). (Here we define the power ζ x for x ∈ Z p by

$$\displaystyle{\zeta ^{x} = (1 +\zeta -1)^{x} =\sum _{ n=0}^{\infty }\,\binom{x}{n}(\zeta -1)^{n}.}$$

If we choose a ∈ Z so that xa ∈ p Z p , we have ζ x = ζ a.) □ 

Define the differential operator D on the ring of formal power series \(\mathcal{O}_{p}[[X]]\) by

$$\displaystyle{D = (1 + X)D_{X},\qquad \mbox{ where}\quad D_{X} = \frac{d} {dX}.}$$

Property (3).

For \(f \in \mathcal{O}_{p}[[X]]\), the power series corresponding to the measure f is Df. Hence the power series corresponding to the measure x k μ f   (k natural number) is D k f and the equalities

$$\displaystyle{\int _{\mathbf{Z}_{p}}\,x^{k}\,d\mu _{ f}(x) =\int _{\mathbf{Z}_{p}}\,d\mu _{D^{k}f}(x) = (D^{k}f)(0)}$$

hold.

Proof.

It is enough to show this when k = 1. Let \(g \in \mathcal{O}_{p}[[X]]\) be the power series corresponding to the measure f . By Property (1), we have for \(z \in \mathcal{P}\)

$$\displaystyle{g(z) =\int _{\mathbf{Z}_{p}}\,x(1 + z)^{x}\,d\mu _{ f}(x).}$$

Put \(f(X) =\sum\nolimits_{ n=0}^{\infty }\,a_{n}X^{n},\ g(X) =\sum\nolimits_{ n=0}^{\infty }\,b_{n}X^{n}\). Using

$$\displaystyle{X\binom{X}{n} = (n + 1)\binom{X}{n + 1} + n\binom{X}{n}}$$

and Theorem 11.3, we have

$$\displaystyle\begin{array}{rcl} b_{n}& =& \int _{\mathbf{Z}_{p}}\,\binom{x}{n}\,d\mu _{g}(x) =\int _{\mathbf{Z}_{p}}\,\binom{x}{n}x\,d\mu _{f}(x) {}\\ & =& (n + 1)\int _{\mathbf{Z}_{p}}\binom{x}{n + 1}d\mu _{f}(x) + n\int _{\mathbf{Z}_{p}}\binom{x}{n}d\mu _{f}(x) {}\\ & =& (n + 1)a_{n+1} + na_{n}. {}\\ \end{array}$$

On the other hand, Df is computed as

$$\displaystyle\begin{array}{rcl} (Df)(X)& =& ((1 + X)D_{X}f)(X) {}\\ & =& (1 + X)(a_{1} + 2a_{2}X +\, \cdots \, + na_{n}X^{n-1} +\, \cdots \,) {}\\ & =& \sum _{n=0}^{\infty }\,((n + 1)a_{ n+1} + na_{n})X^{n}. {}\\ \end{array}$$

This gives g = Df. □ 

In general, for a power series f(X), we define a new power series f (Z) in Z by setting X = e Z − 1:

$$\displaystyle{ f^{{\ast}}(Z) = f(e^{Z} - 1). }$$
(11.5)

For example, when

$$\displaystyle{f(X) = (1 + X)^{a} =\sum _{ n=0}^{\infty }\,\binom{a}{n}X^{n},}$$

we have

$$\displaystyle{f^{{\ast}}(Z) = e^{aZ} =\sum _{ n=0}^{\infty }\,\frac{a^{n}Z^{n}} {n!}.}$$

Note the identity

$$\displaystyle{ (D_{Z}^{k}f^{{\ast}})(0) = (D^{k}f)(0) }$$
(11.6)

since

$$\displaystyle{D_{Z}f^{{\ast}}(Z) = (1 + X)D_{ X}f(X) = Df(X).}$$

The next property is the basis of the fact that the isomorphism P in Theorem 11.3 is an \(\mathcal{O}_{p}\) algebra isomorphism.

Property (4).

Let the measures μ,  ν correspond respectively to the power series \(f,\;g \in \mathcal{O}_{p}[[X]]\) (i.e., μ = μ f ,  ν = μ g ). Then the power series corresponding to the convolution μν is fg:

$$\displaystyle{\mu _{f} {\ast}\mu _{g} =\mu _{fg}.}$$

Proof.

By Eq. (11.1), we have

$$\displaystyle\begin{array}{rcl} \mu _{n}(r)& =& \frac{1} {p^{n}}\sum _{\zeta ^{p^{n}}=1}\,\zeta ^{-r}f(\zeta -1), {}\\ \nu _{n}(k - r)& =& \frac{1} {p^{n}}\sum _{\zeta ^{p^{n}}=1}\,\zeta ^{-k+r}g(\zeta -1). {}\\ \end{array}$$

Substituting this into the right-hand side of (11.2), we obtain

$$\displaystyle\begin{array}{rcl} (\mu {\ast}\nu )_{n}(k)& =& \sum _{r=0}^{p^{n}-1 }\, \frac{1} {p^{n}}\sum _{\zeta ^{p^{n}}=1}\,\zeta ^{-r}f(\zeta -1) \frac{1} {p^{n}}\sum _{\xi ^{p^{n}}=1}\,\xi ^{-k+r}g(\xi -1) {}\\ & =& \frac{1} {p^{n}}\sum _{\zeta }\sum _{\xi }\,f(\zeta -1)g(\xi -1)\xi ^{-k} \cdot \frac{1} {p^{n}}\sum _{r=0}^{p^{n}-1 }\,(\xi /\zeta )^{r} {}\\ & =& \frac{1} {p^{n}}\sum _{\zeta }\,f(\zeta -1)g(\zeta -1)\zeta ^{-k} {}\\ & =& \mu _{fg,\:n}(k). {}\\ \end{array}$$

Here ζ and ξ run through all p n-th roots of 1. From this, Property (4) follows. □ 

11.2 Bernoulli Measure

We define a specific measure called the Bernoulli measure. Recall that the first Bernoulli polynomial is by definition equal to

$$\displaystyle{B_{1}(x) = x -\frac{1} {2}.}$$

In the following, p denotes an odd prime. For each natural number n and \(x \in X_{n} = \mathbf{Z}/p^{n}\mathbf{Z}\), set

$$\displaystyle{E_{n}(x) = B_{1}\left (\left \{ \frac{x} {p^{n}}\right \}\right ),}$$

where in the right-hand side, we regard x as an integer representing \(x\bmod p^{n}\), and for w ∈ R, {w} is the real number satisfying 0 ≤ { w} < 1 and w −{ w} ∈ Z (the fractional part of w). Then E = { E n } is a measure on Z p but is not \(\mathcal{O}_{p}\)-valued. We modify this as follows in order to have an \(\mathcal{O}_{p}\)-valued measure. Take an invertible element c in Z p (i.e. c ∈ Z p ×), and for x ∈ X n  = Zp n Z, let

$$\displaystyle{E_{c,n}(x) = E_{n}(x) - cE_{n}(c^{-1}x).}$$

We understand c −1 x as an element in X n  = Zp n Z. It is easy to see that E c  = { E c, n } is an \(\mathcal{O}_{p}\)-valued measure. We call this the Bernoulli measure.

Proposition 11.5.

  1. (1)

    The formal power series corresponding to the Bernoulli measure E c is given by

    $$\displaystyle{f_{c}(X) = \frac{1} {X} - \frac{c} {(1 + X)^{c} - 1}.}$$
  2. (2)

    Let k be a natural number. For c ∈ Z p × with c k ≠ 1, we have

    $$\displaystyle{\frac{B_{k}} {k} = \frac{(-1)^{k}} {1 - c^{k}}\int _{\mathbf{Z}_{p}}\,x^{k-1}\,dE_{ c}.}$$

    In particular, if \(p - 1 \nmid k\) , then B k ∕k ∈ Z (p) .

Proof.

  1. (1)

    Since c ∈ Z p ×, we see f c  ∈ Z p [[X]], the first two terms of f c (X) being

    $$\displaystyle{f_{c}(X) = \frac{c - 1} {2} + \frac{1 - c^{2}} {12} X +\, \cdots \,.}$$

    Let μ = {μ n } be the measure on Z p corresponding to f c by Theorem 11.3. For \(r \in X_{n} = \mathbf{Z}/p^{n}\mathbf{Z}\) we have

    $$\displaystyle\begin{array}{rcl} \mu _{n}(r)& =& \frac{1} {p^{n}}\sum _{\zeta ^{p^{n}}=1}\,\zeta ^{-r}f_{ c}(\zeta -1) {}\\ & =& \frac{1} {p^{n}}f_{c}(0) + \frac{1} {p^{n}}\sum _{\zeta ^{p^{n}}=1,\:\zeta \neq 1}\,\zeta ^{-r}\left ( \frac{1} {\zeta -1} - \frac{c} {\zeta ^{c} - 1}\right ). {}\\ \end{array}$$

    Now we use Lemma 8.5 on p. 110. For \(\zeta ^{p^{n} } = 1,\;\zeta \neq 1\,\) and f = p n, the lemma gives

    $$\displaystyle{ \frac{1} {\zeta ^{c} - 1} = \frac{1} {f}\sum _{j=1}^{f-1}\,j\zeta ^{cj}}$$

    since (c, p) = 1. By this, if we choose l so that \(cl \equiv k\bmod p^{n},\;0 \leq l < p^{n}\), we obtain

    $$\displaystyle\begin{array}{rcl} \frac{1} {f}\sum _{\zeta ^{p^{n}}=1,\:\zeta \neq 1}\,\zeta ^{-k} \frac{c} {\zeta ^{c} - 1}& =& \frac{c} {f^{2}}\sum _{\zeta ^{p^{n}}=1}\,\zeta ^{-k}\sum _{ j=1}^{f-1}\,j\zeta ^{cj} -\frac{c(f - 1)} {2f} {}\\ & =& \frac{cl} {f} -\frac{c(f - 1)} {2f} {}\\ & =& c\left \{\frac{c^{-1}k} {p^{n}} \right \} -\frac{c} {2} + \frac{c} {2f} {}\\ \end{array}$$

    and by substituting this into the formula for μ n (r) above and noting that f c (0) = (c − 1)∕2, we have

    $$\displaystyle\begin{array}{rcl} \mu _{n}(r)& =& \frac{c - 1} {2f} + \left (\left \{ \frac{r} {p^{n}}\right \} -\frac{1} {2} + \frac{1} {2f} - c\left \{\frac{c^{-1}r} {p^{n}} \right \} + \frac{c} {2} - \frac{c} {2f}\right ) {}\\ & =& \left (\left \{ \frac{r} {p^{n}}\right \} -\frac{1} {2}\right ) - c\left (\left \{\frac{c^{-1}r} {p^{n}} \right \} -\frac{1} {2}\right ). {}\\ \end{array}$$

    By the definition of the Bernoulli measure, we conclude μ n (r) = E c, n (r), i.e., μ = E c and the power series corresponding to E c is f c .

    The proof of (2) goes as follows. By Property (3) and Eq. (11.6) we have

    $$\displaystyle{\int _{\mathbf{Z}_{p}}\,x^{k-1}\,dE_{ c} = (D^{k-1}f_{ c})(0) = (D_{Z}^{k-1}f_{ c}^{{\ast}})(0).}$$

    Here by definition (11.5), we have

    $$\displaystyle\begin{array}{rcl} f_{c}^{{\ast}}(Z)& =& f_{ c}(e^{Z} - 1) = \frac{1} {e^{Z} - 1} - \frac{c} {e^{cZ} - 1} {}\\ & =& \sum _{n=1}^{\infty }\:(1 - c^{n})(-1)^{n}B_{ n}\frac{Z^{n-1}} {n!}, {}\\ \end{array}$$

    so we have

    $$\displaystyle{(D_{Z}^{k-1}f_{ c}^{{\ast}})(0) = (1 - c^{k})(-1)^{k}\frac{B_{k}} {k} }$$

    and thus

    $$\displaystyle{\int _{\mathbf{Z}_{p}}\,x^{k-1}\,dE_{ c} = (1 - c^{k})(-1)^{k}\frac{B_{k}} {k}.}$$

    This gives (2). □ 

11.3 Kummer’s Congruence Revisited

The “right” formulation of Kummer’s congruence is the following.

Theorem 11.6.

Suppose p is an odd prime.

  1. (1)

    Assume that m is a positive even integer such that \(p - 1 \nmid m\) . Then B m ∕m ∈ Z (p) .

  2. (2)

    Let a be a positive integer, and m and n positive even integers satisfying \(m \equiv n\bmod (p - 1)p^{a-1}\) and \(m\not\equiv 0\bmod (p - 1)\) . Then we have

    $$\displaystyle{(1 - p^{m-1})\frac{B_{m}} {m} \equiv (1 - p^{n-1})\frac{B_{n}} {n} \ \bmod p^{a}.}$$

To prove this, we need the following integral expression of the Bernoulli number, a refined version of Proposition 11.5 (2).

Proposition 11.7.

Let k be a positive even integer and take c ∈ Z p × . Then we have

$$\displaystyle{(1 - c^{k})(1 - p^{k-1})\frac{B_{k}} {k} =\int _{\mathbf{Z}_{p}^{\times }}\,x^{k-1}\,dE_{ c}.}$$

Proof.

The power series that corresponds to the Bernoulli measure E c is f c in Proposition 11.5. As in (11.4), define from f c a new power series g by

$$\displaystyle{g(X) = \mathbb{U}f_{c}(X) = f_{c}(X) -\frac{1} {p}\sum _{\zeta ^{p}=1}\,f_{c}(\zeta (1 + X) - 1).}$$

We have \(g \in \mathcal{O}_{p}[[X]]\) and so we let μ = μ g be the measure on \(\mathcal{O}_{p}\) obtained from g. By Property (2) on p. 192 we have

$$\displaystyle{\int _{\mathbf{Z}_{p}^{\times }}\,x^{k-1}\,dE_{ c} =\int _{\mathbf{Z}_{p}}\,x^{k-1}\,d\mu.}$$

Further, using Property (3) on p. 194 and (11.6) one sees

$$\displaystyle{\int _{\mathbf{Z}_{p}}\,x^{k-1}\,d\mu = (D^{k-1}g)(0) = (D_{ Z}^{k-1}g^{{\ast}})(0).}$$

We compute the value \(\,(D_{Z}^{k-1}g^{{\ast}})(0)\,\). First,

$$\displaystyle{g^{{\ast}}(Z) = \frac{1} {e^{Z} - 1} - \frac{c} {e^{cZ} - 1} -\frac{1} {p}\sum _{\zeta ^{p}=1}\left ( \frac{1} {\zeta e^{Z} - 1} - \frac{c} {\zeta ^{c}e^{cZ} - 1}\right ).}$$

Here, since

$$\displaystyle{\frac{1} {p}\sum _{\zeta ^{p}=1}\, \frac{1} {\zeta X - 1} = \frac{1} {X^{p} - 1},}$$

we get

$$\displaystyle\begin{array}{rcl} g^{{\ast}}(Z)& =& \frac{1} {e^{Z} - 1} - \frac{c} {e^{cZ} - 1} -\left ( \frac{1} {e^{pZ} - 1} - \frac{c} {e^{cpZ} - 1}\right ) {}\\ & =& \sum _{k=0}^{\infty }\,(1 - c^{k})(-1)^{k}\frac{B_{k}} {k!} Z^{k-1} -\sum _{ k=0}^{\infty }\,(1 - c^{k})(-1)^{k}\frac{B_{k}} {k!} (pZ)^{k-1} {}\\ & =& \sum _{k=1}^{\infty }\,(1 - c^{k})(1 - p^{k-1})(-1)^{k}\frac{B_{k}} {k!} Z^{k-1}. {}\\ \end{array}$$

Hence if k is even we have

$$\displaystyle{(D_{Z}^{k-1}g^{{\ast}})(0) = (1 - c^{k})(1 - p^{k-1})\frac{B_{k}} {k},}$$

and the proposition is established. □ 

Proof of Theorem 11.6.

The first assertion is already given in Theorem 3.2, but we give here an alternative proof for that too. Since we assumed \(m\not\equiv 0\bmod p - 1\), we can take c ∈ Z such that (c, p) = 1 and \(c^{m}\not\equiv 1\bmod p\). For instance one may take a primitive root \(\bmod \,p\). From the proposition above, we have

$$\displaystyle{(1 - c^{n})(1 - p^{n-1})\frac{B_{n}} {n} =\int _{\mathbf{Z}_{p}^{\times }}\,x^{n-1}\,dE_{ c}}$$

and

$$\displaystyle{(1 - c^{m})(1 - p^{m-1})\frac{B_{m}} {m} =\int _{\mathbf{Z}_{p}^{\times }}\,x^{m-1}\,dE_{ c}.}$$

The assumption \(m \equiv n\bmod (p - 1)p^{a-1}\) gives \(c^{n-m} \equiv 1\bmod p^{a}\,\), and since we assumed (1 − c m, p) = 1, we have also (1 − c n, p) = 1. Since E c is an \(\mathcal{O}_{p}\) measure, the above integral values are in \(\mathcal{O}_{p}\) and we see that B n n and B m m ∈ Z (p). Since \(\,x^{m-1} \equiv x^{n-1}\bmod p^{a}\,\) if x ∈ Z p ×, and since E c is an \(\mathcal{O}_{p}\)-valued measure, we have

$$\displaystyle{(1 - c^{n})\left ((1 - p^{n-1})\frac{B_{n}} {n} - (1 - p^{m-1})\frac{B_{m}} {m} \right ) \in p^{a}\mathcal{O}_{ p}.}$$

The left-hand side being contained in Z p , we conclude

$$\displaystyle{(1 - p^{n-1})\frac{B_{n}} {n} - (1 - p^{m-1})\frac{B_{m}} {m} \in p^{a}\mathbf{Z}_{ p}.}$$

This proves the theorem. □ 

Theorem 3.2 is a corollary of Theorem 11.6. Indeed, if a < m ≤ n, then by Theorem 11.6, we have

$$\displaystyle\begin{array}{rcl} & & (1 - p^{m-1})\frac{B_{m}} {m} - (1 - p^{n-1})\frac{B_{n}} {n} {}\\ & & \quad = (1 - p^{m-1})\left (\frac{B_{m}} {m} -\frac{B_{n}} {n} \right ) + \frac{B_{n}} {n} (p^{n-m} - 1)p^{m-1} {}\\ & & \quad \equiv 0\bmod p^{a}. {}\\ \end{array}$$

Since p − 1 ∤ n, we have B n n ∈ Z (p) by Theorem 11.6. Since a ≤ m − 1, we have \(p^{m-1}B_{n}/n \in p^{a}\mathbf{Z}_{(p)}\). Hence we have

$$\displaystyle{\frac{B_{m}} {m} -\frac{B_{n}} {n} \equiv 0\bmod p^{a}.}$$

Exercise 11.8.

Give an example of an odd prime p and integers 2 ≤ a = m < n such that the congruence in Theorem 3.2 does not hold. Check that for the same choice of a, n, m and p, the congruence of Theorem 11.6 surely holds.

Hint: For example, put p = 5, a = m = 2 and n = 22 and use the following values:

$$\displaystyle{B_{2} = \frac{1} {6},\qquad B_{22} = \frac{854513} {138}.}$$

Exercise 11.9.

Show that the Bernoulli number B n is given by the limit (p-adic limit in Q p )

$$\displaystyle{\lim _{m\rightarrow \infty } \frac{1} {p^{m}}\sum _{i=0}^{p^{m}-1 }i^{n}.}$$

(For a function \(f\,:\, \mathbf{Z}_{p} \rightarrow \mathbf{Q}_{p}\) with a suitable condition, the limit

$$\displaystyle{\lim _{m\rightarrow \infty } \frac{1} {p^{m}}\sum _{i=0}^{p^{m}-1 }f(i)}$$

is sometimes referred to as the Volkenborn integral of f over Z p . See [94, 95] for details.)