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Fermionic Dirac translation generators and positive spectrum
Statement
Assume Countable Choice The Axiom of Countable Choice () and use Dirac Clifford matrices and energy projections and Dirac matrix identities and orthogonal energy projections. Define for real , using Sine and cosine defined by their real power series. Let carry counting measure on the species label and on each copy. The fiber is for and for ; denotes measurable sections with square-integrable fiber norm, and is the direct sum . Identify with the closed subspace whose fibers lie in and whose fibers lie in ; form its antisymmetric Fock space using Schwartz/distribution spaces and Hilbert Fock conventions. For set , and for set . The one-particle translation multipliers preserve and lift to a strongly continuous unitary representation on . Write for its Fock lift along the th coordinate axis of .
On the -particle sector, let and set on the vacuum sector. The joint spectral measure is multiplication by on each sector, restricted to its antisymmetric subspace. Its support is contained in the closed future cone . Define the time generator and spatial momentum components by and , where are the coordinate vectors in translation space. Then and each are the maximal real multipliers by and , respectively, with domains ; the minus sign in spatial translation phases is the Minkowski pairing convention in . The zero-energy eigenspace is exactly (so normalized zero-energy vectors differ from only by a phase); for the nonvacuum spectrum has gap at least , while for it has no positive gap.
Facts & Assumptions
Given: Countable Choice; the two closed energy subspaces and their measure conventions; antisymmetric Fock sectors; and the exact product-tensor and spectral-measure definitions.
Countable Choice is assumed by the QFT Fock construction. The Axiom of Countable Choice ()
, the projections are complementary orthogonal projections, and are closed. Dirac Clifford matrices and energy projections Dirac matrix identities and orthogonal energy projections
The fermionic Fock space is the square-summable direct sum of antisymmetric tensor sectors; the vacuum is sector zero. Schwartz/distribution spaces and Hilbert Fock conventions
The completed tensor powers are identified with product spaces, and the antisymmetric sector is the range of the signed permutation average. Tensor products of sigma-finite L2 spaces Schwartz/distribution spaces and Hilbert Fock conventions
The joint projection-valued measure and maximal self-adjoint multiplication-domain terms use the definitions in Projection valued measure, Adjoint of a densely defined operator, Symmetric, self-adjoint and essentially self-adjoint operators, Unbounded linear operators: domain, graph and extension, and Densely defined, closed and closable operators, and cores. Their first-variable-linear pairing is recovered on every sector and on Fock space by , with unchanged norm and dense domains. Define the adjoint there: conjugating gives , and boundedness is unchanged since the two functionals have equal absolute values. Thus adjoint domains and values, orthogonal projections, and self-adjointness are identical under the two conventions; the second-variable-linear identity is used below.
Dominated convergence applies on the completed product measures and countable direct sum used below. Dominated convergence
Sine and cosine are defined by power series, have unit-circle norm, obey the addition formulas, and have their usual derivatives; Fatou's lemma applies to nonnegative squared difference quotients. Sine and cosine defined by their real power series Parity and the Pythagorean identity for sine and cosine The addition formulas for sine and cosine The derivatives of sine and cosine are cosine and minus sine The mean value theorem, as the case of Cauchy's: for continuous on with and differentiable on there is with Fatou's lemma
The Euclidean norm obeys the triangle inequality. The inner-product norm is definite, homogeneous, and satisfies the triangle inequality
Proof
Realize the one-particle space as the closed subspace of the direct sum determined by and . In each fiber, by [F6], so the phase multiplier preserves norms and both projected ranges. The addition formulas give , hence .
If , the multiplier phases converge pointwise by continuity of sine and cosine, and the squared difference applied to any is bounded by . Dominated convergence [F5] gives . On an elementary -fold tensor, the difference of and is a sum of terms, each with one factor and all other factors of unchanged norm. Thus strong continuity holds on elementary tensors, then on each completed antisymmetric sector by density and the unit norm bound. Finite-sector truncations are dense in Fock space, so the direct-sum lift is strongly continuous on all of .
The ambient one-particle space has two species and four complex fiber coordinates per species, so it is the finite orthogonal sum of eight scalar spaces. Distributing a finite -fold Hilbert tensor over this sum gives a finite orthogonal sum indexed by the species/fiber-coordinate choices; applying the scalar product-tensor identification [F3] successively identifies each summand with scalar . The projected space is a closed subspace of this product space, and its antisymmetric sector is the range of the signed permutation average. The function is measurable and permutation-invariant. Therefore multiplication by preserves that sector and is an orthogonal projection. The direct sum over , with vacuum multiplier , satisfies and . For disjoint with union , the squared norm of the difference between and is the integral of over the decreasing remainder preimages; the indicators tend pointwise to zero and are bounded by one, so [F5] gives norm convergence. Hence is a strongly countably additive projection-valued measure.
Fix one real coordinate multiplier on an antisymmetric sector. It is finite, measurable, real, and permutation-invariant. Its maximal domain is dense because the cutoffs are antisymmetric domain vectors converging in norm by [F5]; multiplication is symmetric because is real. If is in the adjoint domain with adjoint value , then is antisymmetric and in the maximal domain. The adjoint identity gives . Letting proves ; the converse adjoint inclusion follows from the same real-multiplier identity. Thus each sector multiplier is self-adjoint on its maximal domain.
The direct-sum multiplier is symmetric on the displayed domain. If belongs to with adjoint value , testing the adjoint identity against vectors supported in one sector shows and , by step 3.1. Since is in the Fock direct sum, , so . Conversely, if , sectorwise symmetry and Cauchy--Schwarz for the square-summable sector sequences give for every ; hence with . Therefore with exactly the stated domain. Truncating both particle number and the multiplier to bounded level sets approximates each domain vector in graph norm by [F5], so finite-sector domain vectors form a graph core.
For every point of , by [F1]. For any finite list , the time component of their sum is nonnegative and by [F7]. Thus every lies in the closed future cone, including , so the spectral measure from step 2.2 is supported there. If , then for . If , except at the Lebesgue-null point ; consequently almost everywhere on every product sector and the zero-energy projection has only the vacuum range.
If and , choose with . Since has rank two, choose with . Continuity of away from the origin gives a bounded open ball about , with closure avoiding zero and contained in , on which . The measurable function is square-integrable, nonzero, and supported where . Hence the one-particle spectral measure has nonzero mass below every , so there is no positive massless gap.
For real , the mean value theorem and from [F6] give , hence . Also by the sine and cosine derivative formulas. For a coordinate translation set and for , and write ; on each sector this is multiplication by by the definition of . If is in the maximal multiplication domain, then ; dominated convergence [F5] makes the norm derivative equal . Conversely, if the difference quotient has a norm limit, take . Pointwise the quotient tends to , so Fatou's lemma [F6] gives . Thus the derivative domain is exactly the displayed maximal domain; the self-adjoint generator with convention or is the multiplier . Applying the same argument to gives the maximal multiplier by for any real .
Depends on
Dirac Clifford matrices and energy projections
Dirac matrix identities and orthogonal energy projections
Schwartz/distribution spaces and Hilbert Fock conventions
The Axiom of Countable Choice ()
Tensor products of sigma-finite L2 spaces
Projection valued measure
Adjoint of a densely defined operator
Symmetric, self-adjoint and essentially self-adjoint operators
Unbounded linear operators: domain, graph and extension
Densely defined, closed and closable operators, and cores
Sine and cosine defined by their real power series
Parity and the Pythagorean identity for sine and cosine
The addition formulas for sine and cosine
The derivatives of sine and cosine are cosine and minus sine
The mean value theorem, as the case of Cauchy's: for continuous on with and differentiable on there is with
Dominated convergence
Fatou's lemma
The inner-product norm is definite, homogeneous, and satisfies the triangle inequality