Alphabeta Math
TheoremStatement: AI-adaptedProof: AI-adaptedSession-authored (Fable 5 assisted)precheck passaudited 2026-08-02
How statement and proof provenance work

The first chip identifies the source of the statement or construction; the second identifies the source of its local proof or verification.

  • Literature-sourced: the exact statement appears in a cited source; only wording and notation differ.
  • AI-adapted: a semantically identical restatement of literature-sourced material, modulo indexing, notation, and boundary cases adopted by the library.
  • AI-generated: a genuinely novel statement formulated by AI, with no source for the claim itself.

These labels describe origin, not correctness: citations and verification chips remain separate evidence.

Cauchy-Hadamard for complex power series, including zero and infinite radius

Statement

For n0cn(za)n\sum_{n\ge0}c_n(z-a)^n, set L:=lim supkck+11/(k+1)[0,+],L:=\limsup_{k\to\infty}|c_{k+1}|^{1/(k+1)}\in[0,+\infty], so no 00th root occurs, and set R:={+,L=0,1/L,0<L<+,0,L=+.R:=\begin{cases}+\infty,&L=0,\\1/L,&0<L<+\infty,\\0,&L=+\infty.\end{cases} Then the series converges absolutely for za<R|z-a|<R and diverges for za>R|z-a|>R; no assertion is made on za=R|z-a|=R. At z=az=a it converges to c0c_0, including when R=0R=0. The conventions and prerequisite facts used below are recorded in Complex series, absolute convergence, complex power series, and radius of convergence, Every absolutely convergent complex series converges, and rearrangements preserve its sum, Limit superior and limit inferior of a real sequence as infnsupknxk\inf_n \sup_{k \ge n} x_k and supninfknxk\sup_n \inf_{k \ge n} x_k in R\overline{\mathbb{R}}, For finite LL: L=lim supxkL = \limsup x_k iff for every ε>0\varepsilon > 0 one has xk<L+εx_k < L + \varepsilon eventually and xk>Lεx_k > L - \varepsilon frequently, Root test: lim supak1/k<1\limsup |a_k|^{1/k} < 1 gives absolute convergence and hence convergence, >1> 1 gives divergence, and =1= 1 decides nothing.

Facts & Assumptions

Given: The coefficient sequence and a complex zz.

[L1]

Root test: lim supak1/k<1\limsup |a_k|^{1/k} < 1 gives absolute convergence and hence convergence, >1> 1 gives divergence, and =1= 1 decides nothing applies to a real series n1an\sum_{n\ge1}a_n using the defined roots ak+11/(k+1)|a_{k+1}|^{1/(k+1)}.

[L2]

For finite LL: L=lim supxkL = \limsup x_k iff for every ε>0\varepsilon > 0 one has xk<L+εx_k < L + \varepsilon eventually and xk>Lεx_k > L - \varepsilon frequently states that if a real LL is the limit superior of (bk)(b_k), then bk>Lεb_k>L-\varepsilon frequently for every real ε>0\varepsilon>0.

[L4]

Every absolutely convergent complex series converges, and rearrangements preserve its sum states that every absolutely convergent complex series converges.

[L5]

Every convergent sequence in a metric space is Cauchy states that every convergent sequence in a metric space is Cauchy.

[L6]

Complex series, absolute convergence, complex power series, and radius of convergence defines the partial sums by S0=0S_0=0 and SN+1=SN+aNS_{N+1}=S_N+a_N, and defines convergence through the complex metric.

Proof

technique · direct
1.1

At z=az=a, every positive-index term vanishes, so the series converges to c0c_0.

algebra
1.2

Suppose zaz\ne a, put r=za>0r=|z-a|>0, and set bk=ck+11/(k+1)b_k=|c_{k+1}|^{1/(k+1)}. For the real modulus tail dn=cnrnd_n=|c_n|r^n (n1)(n\ge1), its root family is dk+11/(k+1)=bkrd_{k+1}^{1/(k+1)}=b_kr.

algebra
2.1

If r<Rr<R, then LL is finite and L<1/rL<1/r. Put ε=(1/rL)/2>0\varepsilon=(1/r-L)/2>0. The eventual-upper-bound clause of [L2] gives bk<L+ε<1/rb_k<L+\varepsilon<1/r eventually; by [L3], the limit superior of the root family bkrb_kr is therefore at most (L+ε)r<1(L+\varepsilon)r<1. Hence [L1] gives convergence of the modulus tail. (When L=+L=+\infty, R=0R=0 and r<Rr<R is impossible.)

L1L2L3step 1.2algebra
2.2

Suppose 0<L<+0<L<+\infty and r>R=1/Lr>R=1/L. Then ε:=L1/r>0\varepsilon:=L-1/r>0, and [L2] gives bk>Lε=1/rb_k>L-\varepsilon=1/r frequently. At those arbitrarily large indices, step 1.2 gives dk+1=(bkr)k+1>1d_{k+1}=(b_kr)^{k+1}>1.

L2step 1.2algebra
2.3

Suppose L=+L=+\infty and r>R=0r>R=0. By [L3], every tail supremum of (bk)(b_k) is ++\infty; hence 1/r1/r is not an upper bound for any tail, so bk>1/rb_k>1/r frequently. Again dk+1=(bkr)k+1>1d_{k+1}=(b_kr)^{k+1}>1 at arbitrarily large indices.

L3step 1.2algebra
3.1

In either divergence case, let SNS_N be the complex partial sums. If (SN)(S_N) converged, [L5] would make it Cauchy; but [L6] gives dC(Sn+1,Sn)=cn(za)n=dn>1d_{\mathbb C}(S_{n+1},S_n)=|c_n(z-a)^n|=d_n>1 for arbitrarily large nn, contradicting the Cauchy condition with tolerance 11. Thus the complex series diverges.

L5L6step 2.2step 2.3
3.2

In the case r<Rr<R, step 2.1 says that the complex series is absolutely convergent, so it converges by [L4].

L4step 2.1
4.1

Step 1.1 covers the centre, steps 3.1 and 3.2 cover respectively za>R|z-a|>R and za<R|z-a|<R, and none of these arguments asserts anything when 0<L<+0<L<+\infty and za=R|z-a|=R. This proves all three radius cases exactly as stated.

step 1.1step 3.1step 3.2

Depends on

Used by

Dependency tree · next 3 levels

Direct dependencies and their dependencies through the next three levels: 142 results over 24 levels. An arrow runs from a result to what uses it, and this result sits at the bottom with a heavier outline. Click the chart to enlarge it.

Sources