Convergence in Q_p

Series that diverge in R but converge p-adically, partial sum races, and convergence radii

Convergence in Qp

One of the most striking features of the p-adic world is that convergence follows completely different rules than in the real numbers. A series converges p-adically if and only if its terms approach 0 in the p-adic absolute value -- meaning the terms must be divisible by higher and higher powers of p.

This turns familiar intuitions upside down. The geometric series 1 + p + p² + p³ + ... diverges spectacularly in R (each term is bigger than the last!), but converges beautifully in Qp because |pn|p = p−n shrinks to 0. Conversely, the exponential function exp(x), which converges for every real number, has a severely limited radius of convergence in Qp.

The ultrametric inequality gives us a bonus: in Qp, a series converges if and only if its terms tend to 0. There is no need for delicate tests like the ratio or root test -- the "divergence test" becomes both necessary and sufficient.

Divergent Reals, Convergent p-adics

Watch the geometric series 1 + p + p² + ... diverge to infinity on the real number line while its p-adic terms shrink toward zero. The p-adic sum converges to 1/(1 − p), which is a negative rational number -- a surprising result that perfectly illustrates how p-adic convergence defies real intuition.

Divergent Reals, Convergent p-adics

The series 1 + p + p² + p³ + ... diverges to infinity in the real numbers, but converges to 1/(1 − p) = -1.0000 in the p-adic numbers. Add terms to watch both behaviors.

S1 = 20 = 1

In R: Diverges

021

In Q2: Converges

|S_n − S_(n−1)|_p = |p^(n−1)|_p1.000
nTerm pnSn (real)|pn|2
0112-0 = 1.0000

Key insight: In the p-adic metric, powers of p are small, not large. The term pn has p-adic absolute value p−n, which goes to 0 as n grows. This is exactly the opposite of real analysis, where pn goes to infinity.

Partial Sums Race

Race real and p-adic partial sums of the factorial series 0! + 1! + 2! + 3! + .... Factorials grow explosively in R, but they contain more and more factors of p, so |n!|p = p−vp(n!) shrinks toward 0. The p-adic valuation vp(n!) counts how many times p divides n!, computed by Legendre's formula: vp(n!) = Σ ⌊n/pk⌋.

Partial Sums Race

The sum of factorials 0! + 1! + 2! + 3! + ... diverges in R (factorials grow fast!) but converges in Qp because vp(n!) grows, making |n!|p shrink toward 0.

Term: 0! = 1
v2(0!) = 0
Real sum: 1
|0!|2 = 1

Real: Partial Sums (log scale)

DIVERGING0log10(sum)

p-adic: |n!|2

CONVERGING0|n!| p-adic
nn!v2(n!)|n!|2
0101 = 1.0000

Key insight: The factorial n! is divisible by increasingly high powers of any prime p. By Legendre's formula, vp(n!) = ⌊n/p⌋ + ⌊n/p²⌋ + ..., which grows roughly like n/(p−1). So |n!|p shrinks exponentially, and the factorial series converges in every Qp.

Radius of Convergence

The exponential series exp(x) = Σ xn/n! converges for all real x (infinite radius of convergence), but in Qp it converges only when |x|p < p−1/(p−1). The culprit is the denominator n!: while 1/n! shrinks in R (helping convergence), in Qp we have |1/n!|p = pvp(n!), which grows. This growth fights against |xn|p, and x must be small enough p-adically to win.

Radius of Convergence

The exponential series exp(x) = 1 + x + x²/2! + x³/3! + ... converges for all real x, but in Qp it only converges when |x|p < p−1/(p−1).

For p = 2: radius = 2−1/(2 − 1) = 0.5000. Any x with |x|20.5000 makes exp(x) diverge p-adically.

In R
CONVERGES
exp(1) = 2.7183 (radius = infinity)
In Q2
DIVERGES
|x|2 = 1.0000 >= 0.5000 = radius

Convergence Radius in Q2

ConvergesDivergesr = 0.5000|x|=1.000
n|xn/n!| (R)|xn/n!|2v2(n!)
01.0000001.0000000
11.0000001.0000000
20.5000002.000000 (growing!)1
30.1666672.0000001
40.0416678.000000 (growing!)3
50.0083338.0000003
60.00138916.000000 (growing!)4
70.00019816.0000004
82.48e-5128.000000 (growing!)7
92.76e-6128.0000007
102.76e-7256.000000 (growing!)8
112.51e-8256.0000008
122.09e-91024.000000 (growing!)10

Key insight: Dividing by n! helps convergence in R (making terms smaller) but hurts convergence in Qp (making p-adic absolute values larger). This is why exp(x) has infinite radius in R but only radius p−1/(p−1) in Qp. For p = 2, this is just 0.5 -- a dramatically smaller domain.

Key Takeaways

  • p-adic convergence criterion -- a series converges in Qpif and only if its terms approach 0 in the p-adic absolute value (the "divergence test" is sufficient, thanks to the ultrametric inequality)
  • Reversed intuitions -- series like 1 + p + p² + ... that diverge in R converge p-adically, since powers of p are p-adically small
  • Factorials converge p-adically -- n! is divisible by increasing powers of p (by Legendre's formula), so |n!|p tends to 0
  • Radius of convergence reversal -- the exponential exp(x) has infinite radius in R but finite radius p−1/(p−1) in Qp, because dividing by n! increases p-adic absolute values