Completeness in Krasner's Lemma

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Reading through proofs of Krasner's Lemma, I was confused by the completeness condition.

Krasner's Lemma. Let $K$ be a non-archimedian complete field of characteristic $0$ and $a,b \in \overline{K}$. Suppose $$|b-a| < |a-\sigma(a)| \quad \text{for every } \sigma \in \operatorname{Gal}(\overline{K}/K) \text{ with } \sigma(a) \neq a.$$ Then, $K(a) \subseteq K(b)$.

I suppose that the standard proof uses completeness to get an unique extension of $|\cdot|$, right? In that case, can we replace completeness by Henselian? In a lecture on algebraic number theory, we proved that $|\cdot|$ extends uniquely if the ground field is Henselian.

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For characteristic $0$ the proof for Henselian from complete is easy.

$K$ is Henselian (for $v$) means that $K = K_v\cap \overline{K}$ where $v$ is a non-trivial discrete valuation on $K$ and $K_v$ is the completion for $|.|_v$ and $\overline{K}$ is the algebraic closure.

For $L/K$ a finite extension and $F$ its Galois closure and $\sigma \in Hom_K(L,F)$, extend $v$ to $F$, then $\sigma$ is a $K$-linear map $L\to F$, being finite dimensional $K$-vector spaces $\sigma$ is continuous for $|.|_v$. Thus it extends to the completion $$\sigma\in Hom_{K_v}(L_v,F_v)$$ where $v|_{F_v}$ has to be the unique extension of $v|_{K_v}$.

Consequently $$[L:K] = |Hom_K(L,F)|=|Hom_{K_v}(L_v,F_v)|=[L_v:K_v]$$ and $$[L:K]=[L_v:K_v]=[(L_v\cap \overline{K})_v:K_v]=[L_v\cap \overline{K}:K]$$ ie. $L=L_v\cap \overline{K}$ is Henselian.

$L$ is fully determined by its uniformizer and residue field. Krasner lemma for complete fields implies that $L\to L_v, L_v\to L_v\cap \overline{K}$ is a bijection between the finite extensions of $K$ and the finite extensions of $K_v$. Thus Krasner lemma applies to both.

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I would put this "answer" into comment since I only give references. Unfortunately I don't have enough reputation to do so.

Your thought is correct, for s proof see e.g. Theorem 19 in this note.

Also in Neukirch's [ANT, Exercise II.6.2] about Krasner's Lemma the henselian assumption suffices, though it isn't written explicitly there.