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PropositionStatement: Literature-sourcedProof: AI-adaptedPipeline-generatedprecheck passjudge pass (gpt-5.6-terra)audited 2026-09-05
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Zero-th singular homology is free on path components

Statement

For every topological space X, H0sing(X;Z)≅⨁C∈π0path(X)ZeC, the free abelian group on the path components of X.

Facts & Assumptions

Given: A topological space X.

[L1]

Singular homology in degree 0 is Z0(X;Z)/B0(X;Z), and the reduced complex uses the augmentation kernel in degree 0 (The singular chain complex and singular homology, Augmentation at 0-simplices and reduced singular homology).

[L2]

A path component is the equivalence class of the path relation (Paths, path-connected spaces and path components).

Proof

technique · direct
1.1L1L2given

Let Φ:C0(X;Z)→⨁C∈π0path(X)ZeC send each singular 0-simplex σ to the basis vector indexed by the path component of its unique image point. If τ:Δ1→X is a singular 1-simplex, then the map s↦τ(1−s,s) is a path in X from the image point of τδ1 to the image point of τδ0. Hence Φ(∂1τ)=0, so Φ kills B0(X;Z) and descends to a homomorphism Φ‾:H0sing(X;Z)→⨁C∈π0path(X)ZeC.

2.1step 1.1L2

The map Φ‾ is surjective: if X=∅ there is nothing to prove, and otherwise any finite sum ∑k=1makeCk is the image of the 0-cycle ∑k=1makσk, where σk is any singular 0-simplex landing at a chosen point of Ck.

2.2L1L2step 1.1algebra

Let z=∑k=1makσk be a 0-cycle with Φ‾([z])=0. For each path component that meets the finite support of z, choose one base point simplex σC. Since Φ‾([z])=0, the total coefficient in each such component is zero. If σk and σC lie in the same path component, [L2] gives a path γk:I→X from the image point of σk to the image point of σC. Define the singular 1-simplex γ‾k:Δ1→X by γ‾k(t0,t1)=γk(t1). Then ∂1γ‾k=σC−σk. Therefore [z]=∑C(∑σk∈Cak)[σC]=0 in H0sing(X;Z). Thus Φ‾ is injective.

3.1step 2.1step 2.2∎

Steps 2.1 and 2.2 show that Φ‾ is an isomorphism, so H0sing(X;Z) is free on the path components of X.

Depends on

Used by

Dependency tree · two levels

18 results within two dependency steps of this one, each drawn at its shortest distance from it. An arrow runs from a result to what uses it, so the chart reads left to right and ends at this result, which carries a heavier outline. Every node is a link to that result. Click elsewhere on the chart to enlarge it.

Sources