Central decomposition when the centre is atomic
Original exposition: GPT-6.1 Sol (OpenAI), Ultra, October 2026. CC0 1.0 public-domain dedication. Classical operator-algebra results, with complete proofs at the stated hypotheses.
The countable-field construction in the direct-integral lessons need not apply to a general nonseparable von Neumann algebra. There is nevertheless a complete decomposition for every algebra with atomic centre, with no cardinality or separability restriction. Its natural base is a possibly uncountable atomic measure space, and its fibres may be nonseparable.
1. The bounded product of factor corners
Theorem 1.1 (Atomic central decomposition). Let be a von Neumann algebra containing , with no separability hypothesis, and suppose is atomic: every nonzero central projection majorizes a nonzero minimal central projection. Let be all its distinct nonzero minimal projections. Then and the restriction map is a normal *-isomorphism Every nonzero is a factor. The norm in (A.1) is . The centre corresponds to , acting by one scalar on each . For the zero algebra, the index set is empty, and both the direct sum and product are zero.
Proof. Minimal projections in an abelian algebra are orthogonal when distinct: is a central projection below each, so any nonzero product forces . Let , the strong limit of finite sums of these orthogonal projections. Such sums have norm at most one, and belong to ; the complete bounded increasing-net proof, BK-04, keeps their supremum in that von Neumann algebra. If , atomicity supplies a minimal central projection below it, contradicting the definition of . Thus . The orthogonal subspaces therefore have dense algebraic sum, and is their Hilbert direct sum.
Each reduces every because is central. Restriction is a unital *-homomorphism with norm at most . The direct-sum norm identity gives To prove surjectivity, let be a family with and . Extend each operator by zero off . For finite , put . These have norm at most . For , the series of nonnegative numbers , defined as the supremum of its finite sums, is finite. Hence proves that the net is Cauchy; the same finite-tail bound constructs the block operator with . It is a strong limit of , so , and its restrictions are the prescribed . This also proves injectivity and (A.1).
The centre of the corner is . To verify the nontrivial inclusion, if commutes with , then for its products with vanish, and its products with commute by assumption; thus and . Minimality of in implies : indeed, if in this corner has two spectral values , choose . The continuous calculus gives nonzero positive and with zero product. Their support projections are central, nonzero and orthogonal, by the full bounded support proof, BK-06. Either is a proper nonzero projection below , contradicting minimality. Therefore is a factor.
For normality, a bounded increasing net in has strong limit its supremum. Restricting to a reducing subspace commutes with that limit, so every coordinate map preserves the supremum. Conversely, for a bounded increasing net of positive families in the product, the coordinate strong limits assemble to its supremum block operator. The finite-tail estimate, followed by convergence on the finitely many retained coordinates, shows strong convergence on . Thus (A.1) and its inverse preserve arbitrary bounded increasing suprema and are normal, by the complete positive-map criterion after Corollary 11.5. Finally, a block family is central exactly when each coordinate is central in its factor, giving .
The finite-tail argument is valid for an uncountable index set: each Hilbert direct-sum vector has countable support, but the algebra and the index set may be uncountable. The algebra consists of all uniformly bounded families, so it is the product rather than the algebraic or sum.
2. Why a probability base need not exist
Example 2.1 (Uncountably many central atoms). For uncountable , let on . Every is a minimal central projection and the factors are . A normal state has coefficients with , by normality on finite sums. There are only countably many positive coefficients: for each , the set is finite. Therefore the state vanishes on some nonzero , and no normal state is faithful. It follows that this algebra cannot be identified with of a sigma-finite base: such a nonzero base has an equivalent probability measure and hence a faithful normal integration state. To see this directly, partition a sigma-finite base into measurable sets of finite measure, and set . Then almost everywhere and ; dividing by this integral gives the required probability density. Write . Integration against is faithful on positive classes. The full multiplication realization, Proposition 3.2a, identifies this algebra with its von Neumann multiplication algebra on . The integration state is its vector state at , so it is normal; this argument does not invoke a monotone-convergence theorem for arbitrary measurable nets. Every *-isomorphism between von Neumann algebras is normal, by the complete Corollary 11.4. Such an isomorphism would pull it back to a faithful normal state on , which the preceding argument excludes. This is a precise reason why the standard probability construction in Corollary 4.3 cannot simply be reused for arbitrary algebras. It does not rule out generalized central decompositions over other bases.
The nonatomic centre with arbitrary nonseparable fibres remains a separate construction. A lifting for a constant Hilbert field proves decomposition of operators commuting with the scalar algebra in that model; it does not alone supply a factorial field for every arbitrary algebra.
The ordinary separable-predual construction has its complete proof in Lemma 4.2 and Corollary 4.3 of Base changes and disintegration.