Bounded symmetric perturbations preserve essential self-adjointness
DefinitionChapterKatoRellichDeficiencyCoreFormal definitions for the timepiece Lean 4 formalization (module BookProof.KatoRellichDeficiencyCore, source chapter BookProof/ChapterKatoRellichDeficiencyCore.lean): Bounded symmetric perturbations preserve essential self-adjointness
This module proves the Kato–Rellich theorem in the special case of a bounded symmetric perturbation, in the deficiency-space formulation used throughout this project (BookProof.FarisLavine.EssentiallySelfAdjointOn):
If
His symmetric on a domainDand essentially self-adjoint, andBis a bounded > everywhere-defined symmetric operator, thenH + Bis essentially self-adjoint onD.
No closure or spectral theory is needed. The proof is an explicit Neumann-series argument at the level of finite sums, which keeps every approximant inside the domain D:
- For a symmetric
Hone has‖H x - e i x‖ ≥ |e| ‖x‖(FarisLavine.norm_sub_smul_sq), so an approximate solution of(H - e i) x = vhas controlled norm. * Giveny, solve(H - e i) v₀ ≈ y, then(H - e i) v₁ ≈ -B v₀, and so on. The partial sumsSₘ = v₀ + ⋯ + v_{m-1}satisfy(H + B - e i) Sₘ ≈ y - rₘwhere the residualsrₘdecay geometrically with ratio‖B‖/|e| < 1. * Hence the range ofH + B - e iis dense whenever|e| > ‖B‖, and this gives vanishing deficiency spaces at± e i; the basic criterionFarisLavine.deficiencyTrivialAt_of_dense_rangethen propagates this to every non-real point, in particular to± i.
import Definitions.Def_ChapterFarisLavine
import Mathlib
/-!
# Bounded symmetric perturbations preserve essential self-adjointness
This module proves the **Kato–Rellich theorem** in the special case of a *bounded*
symmetric perturbation, in the deficiency-space formulation used throughout this
project (`BookProof.FarisLavine.EssentiallySelfAdjointOn`):
> If `H` is symmetric on a domain `D` and essentially self-adjoint, and `B` is a bounded
> everywhere-defined symmetric operator, then `H + B` is essentially self-adjoint on `D`.
No closure or spectral theory is needed. The proof is an explicit Neumann-series
argument at the level of *finite* sums, which keeps every approximant inside the domain
`D`:
* For a symmetric `H` one has `‖H x - e i x‖ ≥ |e| ‖x‖` (`FarisLavine.norm_sub_smul_sq`),
so an approximate solution of `(H - e i) x = v` has controlled norm.
* Given `y`, solve `(H - e i) v₀ ≈ y`, then `(H - e i) v₁ ≈ -B v₀`, and so on. The
partial sums `Sₘ = v₀ + ⋯ + v_{m-1}` satisfy `(H + B - e i) Sₘ ≈ y - rₘ` where the
residuals `rₘ` decay geometrically with ratio `‖B‖/|e| < 1`.
* Hence the range of `H + B - e i` is dense whenever `|e| > ‖B‖`, and this gives
vanishing deficiency spaces at `± e i`; the basic criterion
`FarisLavine.deficiencyTrivialAt_of_dense_range` then propagates this to every
non-real point, in particular to `± i`.
-/
namespace BookProof.KatoRellich
end BookProof.KatoRellich