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An explicit greedy rearrangement of the alternating harmonic series with sum , and the same recipe for any prescribed real
Example
Let be the terms of the alternating harmonic series, which converges conditionally ( converges conditionally, with sum strictly between and ). Fix a real . The greedy rearrangement towards is the bijection of produced by the following rule, which is exactly the construction of The Riemann series theorem: a conditionally convergent real series has, for every , a rearrangement with sum , and rearrangements diverging to , to , and oscillating with any prescribed in with the constant target :
at each step, if the running sum of the terms already used is at most , take the next unused nonnegative term of the series; otherwise take the next unused negative term.
By The Riemann series theorem: a conditionally convergent real series has, for every , a rearrangement with sum , and rearrangements diverging to , to , and oscillating with any prescribed in the resulting rearrangement converges, with
For the rule produces, in order,
the running sums after the successive terms being , then after , and so on: one positive term followed by however many negative terms are needed to bring the running sum below again.
The same series therefore has rearrangements summing to , to itself, to (Taking two positive terms for each negative one rearranges the alternating harmonic series to times its sum, by the identity ) and to every other real number, while its terms are never changed.
Facts & Assumptions
Given: The terms of the alternating harmonic series, and a real number .
The alternating harmonic series converges and does not converge absolutely, so it converges conditionally ( converges conditionally, with sum strictly between and , Absolutely convergent and conditionally convergent series, and the general starting index).
For a conditionally convergent series both part series and diverge to , which is what keeps both supplies of terms inexhaustible (Positive and negative parts: and ; a series converges absolutely iff both and converge, and for a conditionally convergent series both diverge to ).
The Riemann series theorem: for a conditionally convergent series and every real there is a bijection of with convergent of sum ; the bijection is the greedy one described above, built by the recursion theorem on a state carrying the two counters and the running sum, with no least crossing index selected and no choice made (The Riemann series theorem: a conditionally convergent real series has, for every , a rearrangement with sum , and rearrangements diverging to , to , and oscillating with any prescribed in , The recursion theorem, The well-ordering principle, Rearrangement of a series along a bijection of , and unconditional convergence, Series, partial sums, convergence and the sum, divergence, and the tail series).
Verification
The alternating harmonic series converges conditionally.
Its nonnegative terms are , that is , and its negative terms are , that is ; by [L2] the sums of each family are unbounded, so neither supply is exhausted at any stage of the greedy rule.
By the Riemann series theorem applied with the constant target , the greedy rule defines a bijection of and converges with sum .
Taking gives a rearrangement of the alternating harmonic series with sum , and taking arbitrary gives one with sum ; the terms used are the same in every case.
Remarks
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The displayed initial segment is arithmetic, not a further claim. Starting from a running sum of , which is at most , the rule takes the first nonnegative term ; the running sum then exceeds , so negative terms are taken until it drops below , which the successive values show happens after four of them. The reader may continue the computation indefinitely; nothing in the verification depends on it.
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Why the greedy rule terminates each phase. Each phase ends because the relevant part series diverges to (Positive and negative parts: and ; a series converges absolutely iff both and converge, and for a conditionally convergent series both diverge to ), so however far along the supply one is, enough remains to cross the target. This is the only place conditional convergence is used, and it is the reason the example has no analogue for an absolutely convergent series.
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The overshoot vanishes, which is why the sum is exactly . At each crossing the running sum differs from by at most the term just used, and the terms of a convergent series tend to ; since both supplies are consumed in order and both are exhausted, the terms used at successive crossings tend to as well.
Depends on
- The Riemann series theorem: a conditionally convergent real series has, for every $c \in \mathbb{R}$, a rearrangement with sum $c$, and rearrangements diverging to $+\infty$, to $-\infty$, and oscillating with any prescribed $\liminf \le \limsup$ in $\overline{\mathbb{R}}$
- $\sum_{j \ge 0} (-1)^{j}/(j+1)$ converges conditionally, with sum strictly between $1/2$ and $1$
- Positive and negative parts: $a_k = a_k^{+} - a_k^{-}$ and $|a_k| = a_k^{+} + a_k^{-}$; a series converges absolutely iff both $\sum a_k^{+}$ and $\sum a_k^{-}$ converge, and for a conditionally convergent series both diverge to $+\infty$
- Rearrangement of a series along a bijection of $\mathbb{N}$, and unconditional convergence
- Absolutely convergent and conditionally convergent series, and the general starting index
- The well-ordering principle
- The recursion theorem
- Series, partial sums, convergence and the sum, divergence, and the tail series
Used by
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Sources
- Riemann series theorem (Wikipedia) (standard reference, not scraped)
- Harmonic series (mathematics) (Wikipedia) (standard reference, not scraped)
- N. Donaldson, Math 140A: Real Analysis notes (standard reference, not scraped)
- John K. Hunter, An Introduction to Real Analysis, Chapter 4 (standard reference, not scraped)