Alphabeta Math
ExampleConstruction: AI-adaptedVerification: AI-adaptedPipeline-generatedaudited 2026-09-22
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.

Borel functional calculus defines a discontinuous characteristic function

Example

Assume AC. Let H=L2([0,1],λ) for Lebesgue measure λ and let T=Mx be multiplication by the coordinate, (Th)(x)=xh(x). Then T is bounded self-adjoint with σ(T)=[0,1], and the Borel functional calculus applied to the discontinuous function 1[0,1/2] produces the orthogonal projection onto the closed subspace L2([0,12])={hL2([0,1]): h=0 a.e. on (12,1]}, namely 1[0,1/2](T)=M1[0,1/2], whose range is that subspace and whose kernel is L2((12,1]).

Facts & Assumptions

[A1]

The multiplication operator Mx on L2([0,1]) is bounded self-adjoint with σ(Mx)=[0,1], spectral projections E(B)=M1B[0,1] and Borel calculus f(Mx)=Mfx for every bounded Borel f on [0,1] (Pvm of a multiplication operator, Borel functional calculus for a bounded normal operator).

[A2]

The indicator 1[0,1/2] is bounded Borel on [0,1] and satisfies 1[0,1/2]2=1[0,1/2]=1[0,1/2], so its calculus value is an orthogonal projection equal to the spectral projection E([0,1/2]) (Borel functional calculus for bounded normal operators, Spectral projections and resolution of the identity).

[A3]

Elements of L2 are equivalence classes modulo almost-everywhere equality; a class is supported in a Borel set A when it has a representative vanishing almost everywhere off A, and L2(A) denotes this subspace of classes (The space Lp(μ) as the quotient by null functions, Orthogonality and the orthogonal complement, Hilbert space).

[A4]

AC is the declared choice hypothesis of this page from the construction item onward (The Axiom of Choice).

Verification

technique · direct

Given: Lebesgue measure on [0,1], the operator T=Mx and the function 1[0,1/2].

1.1

The function 1[0,1/2] is bounded Borel on [0,1]=σ(T), with values in {0,1} and equal to its own square and conjugate, so the calculus attaches to it an orthogonal projection.

A1A2
1.2

By the computation of the calculus for multiplication operators, 1[0,1/2](T)=M1[0,1/2]x=M1[0,1/2], acting by (M1[0,1/2]h)(x)=1[0,1/2](x)h(x).

A1
2.1

Put A=[0,1/2] and P=M1A. For every h, Ph vanishes almost everywhere off A; conversely, if g is supported in A, then Pg=g, so ranP=L2(A). Also Ph=0 exactly when h vanishes almost everywhere on A, so kerP=L2((1/2,1]). Both subspaces are closed: if Phn=hnh, boundedness and P2=P give Ph=limPhn=h, while if Phn=0 and hnh, then Ph=limPhn=0.

step 1.2A1A3
3.1

The spectral projection E([0,1/2]) agrees with this multiplication by the pulled-back indicator, so the discontinuous characteristic function of the Borel set has produced a genuine orthogonal projection of the operator, not merely a continuous-calculus value.

step 1.2step 2.1A2A4
4.1

The Borel calculus of T=Mx therefore assigns to the discontinuous function 1[0,1/2] the orthogonal projection onto the classes supported in [0,1/2], with kernel the classes supported in (1/2,1].

step 3.1A4

Depends on

Used by

Dependency tree · two levels

41 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