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Transverse Ising Majorana reduction and bulk gap closing

1 · Prerequisites

2 · Summary

3 · Logical flowchart

4 · Definitions, postulates, theorems and proofs

DefinitionDefinition: AI-adaptedProof: AI-generatedverified 2026-10-22 (gpt-6.1-sol)Open item page →

Open transverse Ising chain and ordered Majorana operators

Definition

Let N≥1 be an integer and let HN=(C2)⊗N with the product inner product linear in its first argument. At each factor use

X=(0110),Y=(0−ii0),Z=(100−1),I2=(1001).

For 1≤j≤N, Xj,Yj,Zj denote these matrices on factor j and I2 on every other factor. For real h,J measured in joules define the finite open-chain matrix HN(h,J)=−h∑j=1NZj−J∑j=1N−1XjXj+1. The upper limit N−1 is the open-boundary convention: no term couples site N to site 1. Put S0=IHN and Sj−1=Z1⋯Zj−1 for j>1. The ordered Majorana operators are γ2j−1=Sj−1Xj,γ2j=Sj−1Yj(1≤j≤N).

Facts & Assumptions

Given: An integer N≥1, real energy parameters h,J, and the displayed finite tensor-product space.

[F1]

Pauli matrices and the two-qubit exchange operator: C2 has its standard ordered basis and product inner product; the Pauli matrices X,Y,Z are Hermitian, square to I2, and act on tensor factors by the stated tensor-product convention.

Proof

1.1givenF1algebra

Each displayed Pauli matrix is an everywhere-defined endomorphism of C2. Its tensor embedding Xj,Yj,Zj is therefore an everywhere-defined endomorphism of the finite-dimensional product space HN, using the fixed factor order in [F1].

2.1givenstep 1.1algebra∎

Every Sj−1 and γa is a finite product of such endomorphisms, and both sums defining HN are finite (the second is empty when N=1). Thus all displayed operators are well-defined matrices on HN; the only bond terms are exactly those indexed by j<N.

Remarks

For N=4, the following path records the open bond set and the onsite field terms. A node is one tensor factor; a solid edge labeled −JXjXj+1 is one interaction term, and there is no edge from site 4 back to site 1. The diagram records the indexing convention only; the matrix identities and later proofs are independent of the drawing.

1234¡JX1X2¡JX2X3¡JX3X4¡hZ1¡hZ2¡hZ3¡hZ4
LemmaStatement: AI-adaptedProof: AI-generatedverified 2026-10-22 (gpt-6.1-sol)Open item page →

Hermiticity and CAR of the ordered Ising Majoranas

Statement

For every integer N≥1 and real h,J, let HN, Xj,Yj,Zj, and γ1,…,γ2N be the matrices defined for the open transverse Ising chain. Then each γa is Hermitian and γaγb+γbγa=2δabIHN(1≤a,b≤2N).

Facts & Assumptions

Given: The finite tensor-product space and ordered operators of Open transverse Ising chain and ordered Majorana operators.

[F1]

Open transverse Ising chain and ordered Majorana operators: γ2j−1=(Z1⋯Zj−1)Xj and γ2j=(Z1⋯Zj−1)Yj, with the empty string equal to the identity.

[F2]

Pauli matrices and the two-qubit exchange operator: the matrices X,Y,Z are explicitly displayed; conjugate-transpose gives X∗=X, Y∗=Y, Z∗=Z, and direct multiplication of those displayed matrices gives the pairwise relations used below.

Proof

1.1givenF1F2algebra

The string Sj−1=Z1⋯Zj−1 is Hermitian, has square I, and commutes with Xj and Yj because it acts on different tensor factors. Hence γ2j−1 and γ2j are Hermitian, and each squares to I.

2.1F1F2step 1.1algebra

On one site, γ2j−1γ2j=Sj−12XjYj=iZj and γ2jγ2j−1=Sj−12YjXj=−iZj. Their sum is zero, so the two distinct operators at the same site anticommute.

3.1givenF1F2step 1.1step 2.1algebra∎

Let j<ℓ and choose either Xj or Yj at site j and either Xℓ or Yℓ at site ℓ. The string in the later operator contains exactly one Zj; all other factors commute across distinct sites, while both Xj and Yj anticommute with Zj by [F2]. Moving the earlier site matrix past the later string therefore contributes exactly one minus sign. Thus every pair of operators at distinct sites anticommutes. Together with the squares from step 1.1 and the same-site computation in step 2.1, this gives the stated CAR for all indices.

LemmaStatement: AI-adaptedProof: AI-generatedverified 2026-10-22 (gpt-6.1-sol)Open item page →

Orthogonal normal form of a finite real skew matrix

Statement

For every integer N≥1 and real skew-symmetric matrix A∈M2N(R), there are an orthogonal real matrix O and numbers ϵ1,…,ϵN≥0 such that OAOT=⨁r=1N(0ϵr−ϵr0). For a real square matrix A, ATA is positive semidefinite because vTATAv=∑j(Av)j2≥0 for every real column vector v. Its singular-value multiset is the multiset of nonnegative square roots of the eigenvalues of ATA, each eigenvalue repeated according to its eigenspace dimension. In the displayed form, the positive ϵr are precisely the positive singular values of A: each block with ϵr>0 contributes two entries equal to ϵr, counting repeated block values separately. Every zero block pairs two kernel directions.

Facts & Assumptions

Given: N≥1 and AT=−A.

[F1]

Finite matrix spectral and state calculus: every Hermitian matrix on a finite-dimensional complex inner-product space has an orthonormal eigenbasis with real eigenvalues, and its eigenspaces and spectral projections are basis-independent.

Proof

1.1givenF1algebra

Regard B=iA as a complex matrix on C2N. Since AT=−A and A is real, B∗=(−i)AT=iA=B. By [F1], B has an orthonormal eigenbasis with real eigenvalues. Complex conjugation sends an eigenvector of eigenvalue ϵ>0 to an eigenvector of eigenvalue −ϵ, because conjugating iAz=ϵz gives −iAz‾=ϵz‾. Thus nonzero eigenvalues occur in opposite pairs.

2.1step 1.1algebra

Fix a unit eigenvector z=u+iv for ϵ>0, with real vectors u,v. The vectors z and z‾ belong to distinct eigenspaces of the Hermitian matrix B, so ⟨z,z‾⟩=0. Expanding this equality gives ∥u∥2=∥v∥2 and u⋅v=0; ∥z∥=1 then gives ∥u∥=∥v∥=1/2. From Az=−iϵz, comparison of real and imaginary parts gives Au=ϵv and Av=−ϵu. Therefore e1=2u and e2=−2v are orthonormal and Ae1=−ϵe2, Ae2=ϵe1, which is the displayed block in this basis.

3.1givenF1step 1.1step 2.1constructalgebra

Choose an orthonormal basis in each positive eigenspace of B; [F1] supplies these finite-dimensional bases. Together with their complex conjugates, the chosen vectors are orthonormal: conjugation preserves orthonormality, and every positive eigenspace is orthogonal to every negative eigenspace of the Hermitian matrix B. Hence the real planes from step 2.1 are mutually orthogonal. On the zero eigenspace, Az=0, so the real and imaginary parts of each vector lie in the real kernel of A. The real and complex kernels have equal dimension because row reduction of the real matrix A has the same pivots over R and C; this dimension is 2N minus twice the total number of positive eigenvectors, hence even. Choose a real basis of ker⁡A and successively subtract projections onto earlier vectors and normalize each nonzero residual; this gives an orthonormal real basis. Pairing consecutive vectors gives zero blocks. The resulting real orthonormal basis gives the required O.

4.1step 3.1F1algebra∎

Since O is orthogonal, (OAOT)T(OAOT)=OATAOT=⨁r=1Nϵr2I2. Thus the singular-value multiset from the Statement has two entries ϵr for each block r, including its two zero entries when ϵr=0. This identifies every positive block value once per real two-plane and completes the multiplicity assertion.

TheoremStatement: AI-adaptedProof: AI-generatedverified 2026-10-22 (gpt-6.1-sol)Open item page →

Exact quadratic reduction and Gibbs trace of the open Ising chain

Statement

Assume Countable Choice. Let N≥1, use the open-chain Hilbert space and Hamiltonian HN(h,J) of the ordered Majorana definition, and let β>0 have units J−1 while h,J have units joules. Define the real skew matrix AN∈M2N(R) by (AN)2j−1,2j=2h for 1≤j≤N, (AN)2j,2j+1=2J for 1≤j<N, the opposite entries by skew-symmetry, and all other entries by zero. Let ϵ1,…,ϵN≥0 be its real orthogonal block energies, including zero values. Then HN(h,J)=i4γTANγ=∑r=1Nϵr(br∗br−12I) for the transformed Majorana modes br in the Proof, and its finite Gibbs trace is ZN(β;h,J):=Tr⁡HN(e−βHN(h,J))=∏r=1N2cosh⁡ ⁣(βϵr2). Every zero mode contributes a factor two. The chain is open throughout; no periodic Jordan–Wigner parity boundary term is included.

Facts & Assumptions

Given: Countable Choice; an integer N≥1; real h,J in joules; and β>0 in J−1.

[A1]

Countable Choice is assumed exactly where the diagonal occupation-trace supplier is applied (The Axiom of Countable Choice (ACω)).

[F1]

Open transverse Ising chain and ordered Majorana operators: HN=(C2)⊗N, HN=−h∑j=1NZj−J∑j=1N−1XjXj+1, and γ2j−1=Z1⋯Zj−1Xj, γ2j=Z1⋯Zj−1Yj.

[F2]

Hermiticity and CAR of the ordered Ising Majoranas: each γa is Hermitian and {γa,γb}=2δabI.

[F3]

Orthogonal normal form of a finite real skew matrix: a real skew matrix of size 2N has an orthogonal basis of two-dimensional blocks (0ϵr−ϵr0) with ϵr≥0.

[F4]

Explicit diagonal Fock domains and occupation trace: under Countable Choice, for a finite fermionic mode set with energies ϵr, β>0, and qr=e−βϵr>0, the diagonal occupation trace is ∏r(1+qr); its finite-mode case allows zero energies and hence qr=1.

[F5]

Finite matrix spectral and state calculus: finite Hermitian matrices have orthonormal eigenbases, and the ordinary finite trace is basis-independent.

Proof

1.1givenF1F2algebra

For every site, γ2j−1γ2j=XjYj=iZj, so ihγ2j−1γ2j=−hZj. For j<N, γ2jγ2j+1=YjZjXj+1=iXjXj+1, so iJγ2jγ2j+1=−JXjXj+1. Summing exactly these terms gives the open-chain HN of [F1], with no j=N bond.

2.1step 1.1F2algebra

For any paired indices a<b with coefficient c, setting (AN)ab=2c and (AN)ba=−2c contributes (i/4)(2cγaγb−2cγbγa)=icγaγb by [F2]. Applying this to c=h on (2j−1,2j) and c=J on (2j,2j+1) yields HN=(i/4)γTANγ.

3.1givenF2F3step 2.1algebra

By [F3], choose a real orthogonal O with OANOT in the displayed 2×2 blocks, and put η=Oγ. Since O is real and orthogonal, [F2] gives {ηa,ηb}=2δabI. Define br=(η2r−1+iη2r)/2. Direct expansion using these anticommutators gives {br,bs∗}=δrsI, {br,bs}=0, and br∗br=12I+i2η2r−1η2r. Using the matrix expression from step 2.1, substitution into the block expression gives HN=∑rϵr(br∗br−12I).

4.1step 3.1F5algebra

The projections nr=br∗br commute by the CAR in step 3.1 and are simultaneously diagonalizable: diagonalize n1 using [F5], restrict the remaining commuting Hermitian matrices to its invariant eigenspaces, and continue through the finite list. Their joint eigenvalues lie in {0,1}N. If a joint eigenspace has occupancy 0 in coordinate r, br∗ maps it isometrically into the eigenspace with that bit changed to 1, since ∥br∗ψ∥2=⟨ψ,(I−nr)ψ⟩=∥ψ∥2; when the bit is 1, br is the inverse isometry. Hence all 2N joint eigenspaces have the same positive dimension. Their orthogonal sum is HN, whose dimension is 2N, so each eigenspace is one-dimensional. The resulting ordered occupation basis identifies the br representation unitarily with the finite fermionic Fock occupation basis.

5.1A1F4F5step 3.1step 4.1algebra∎

In that occupation basis, ∑rϵrbr∗br is the diagonal finite-mode Hamiltonian with energies ϵr. Apply [F4] with mode set {1,…,N}, chemical potential 0, and qr=e−βϵr to obtain trace ∏r(1+e−βϵr). The scalar shift −12∑rϵrI multiplies this trace by eβ∑rϵr/2, and [F5] permits the unitary change back to HN. Thus ZN=∏r(eβϵr/2+e−βϵr/2)=∏r2cosh⁡(βϵr/2). If ϵr=0, its factor is 2.

LemmaStatement: AI-adaptedProof: AI-generatedverified 2026-10-22 (gpt-6.1-sol)Open item page →

Unitary Fourier transform for a two-component lattice sequence

Statement

Assume Countable Choice. Let T=R/(2πZ) and let mT be its normalized Borel probability measure, so in the angle coordinate its integral is ∫TF dmT=∫02πF(k) dk/(2π), obtained from the normalized one-dimensional torus by k=2πx. On C2 use ⟨u,v⟩C2=u1v1‾+u2v2‾ and ∥u∥C22=∣u1∣2+∣u2∣2, linear in the first argument. Define ℓ2(Z;C2):={x=(xj)j∈Z:xj∈C2, ∑j∈Z∥xj∥C22<∞},⟨x,y⟩ℓ2:=∑j∈Z⟨xj,yj⟩C2. Define L2(T;C2) to be the vector space of pairs of Borel-measurable functions f=(f1,f2):T→C2 with ∫T(∣f1∣2+∣f2∣2) dmT<∞, modulo equality mT-almost everywhere, with inner product ⟨f,g⟩L2:=∫T(f1g1‾+f2g2‾) dmT. These pairings are linear in the first argument. The square-summable-family supplier gives the scalar ℓ2 norm and pairing used coordinatewise. The L2 space is the pair of scalar L2 quotient spaces with the displayed sum inner product and completeness convention. Let c00(Z;C2):={x∈ℓ2(Z;C2):{j:xj≠0} is finite}. Define the linear map F0x(k)=∑j∈Zxjeijk,k∈T, componentwise, from c00(Z;C2) to L2(T;C2). Its values are continuous finite sums and therefore belong to this L2 space. Then F0 preserves inner products on finitely supported sequences and has a unique extension to a surjective linear isometry (a unitary map) F:ℓ2(Z;C2)→L2(T;C2).

Facts & Assumptions

Given: Countable Choice, the normalized one-dimensional torus, and two-component square-summable sequences.

[A1]

The Axiom of Countable Choice (ACω): assume Countable Choice, with its exact family-of-nonempty-sets formulation.

[F1]

The one-dimensional torus and its normalized Haar integral defines the quotient torus R/Z, its normalized Borel measure, and its integral; under k=2πx these give mT and dk/(2π). Square-summable families on an arbitrary index set and the space ℓ2(I) defines the scalar ℓ2 norm and pairing used for the two coordinates, while the vector-valued space and pairing are defined locally in the Statement.

[F2]

The Fourier basis and Parseval's identity on the finite torus: under Countable Choice the one-dimensional coordinate characters form an orthonormal basis of L2(T), and the Fourier-coefficient map is a surjective linear isometry onto ℓ2(Z;C); its inverse is the finite-subset-net Fourier series.

[F3]

L2 with the integral pairing is a Hilbert space: scalar L2 functions are equivalence classes modulo equality almost everywhere, their pairing is ∫fg‾ dmT, and this quotient space is complete.

Proof

1.1givenF1algebra

For finitely supported x,y, expanding the finite sums and using ∫Tei(j−ℓ)k dk/(2π)=δjℓ gives ⟨F0x,F0y⟩L2=∑j,ℓ⟨xj,yℓ⟩C2∫Tei(j−ℓ)k dk2π=∑j⟨xj,yj⟩C2=⟨x,y⟩ℓ2. Thus F0 is an isometry on its finite-support domain.

2.1givenA1F1F2F3step 1.1algebra∎

By [F2] under the explicit Countable Choice hypothesis [A1], the scalar Fourier-coefficient map is a surjective linear isometry from the complete space L2(T) of [F3] onto scalar ℓ2(Z;C), with inverse given by the finite-subset-net Fourier series. This proves scalar ℓ2 completeness: a Cauchy sequence pulls back by that inverse to a Cauchy sequence in L2, whose limit maps to its ℓ2 limit. Applying this to each of the two coordinates proves completeness of ℓ2(Z;C2) with [F1]'s norm. The inverse Fourier map applied coordinatewise is a unitary and agrees with F0 on finitely supported sequences by its finite polynomial formula. Those sequences are dense: for any ε>0, the finite-subset tail property in [F1] gives a finite F⊂Z with ∑j∉F∥xj∥2<ε2; choosing M with F⊆[−M,M] makes the squared truncation error at most that tail, hence below ε2. Thus c00 is dense and the continuous extension is unique.

TheoremStatement: AI-adaptedProof: AI-generatedverified 2026-10-22 (gpt-6.1-sol)Open item page →

Translation-invariant Ising Majorana symbol and bulk gap

Statement

Assume Countable Choice. Let h,J∈R be energies in joules, with the convention of the open-chain definition: the field coefficient is h and the adjacent-site bond coefficient is J, with no bond joining the final site to the first. On K=ℓ2(Z;C2), write xj=(uj,vj) and define the everywhere-defined complex-linear operator A∞:K→K by (A∞x)j=(2hvj−2Jvj−1, −2huj+2Juj+1),K∞=iA∞. For any bounded operator T on the Hilbert space K, let T∗ denote its Hilbert adjoint. Use the Fourier unitary Fx(k)=∑jxjeijk on T=R/(2πZ) with normalized measure. Define the continuous matrix symbol M(k)=(02i(h−Jeik)−2i(h−Je−ik)0), whose eigenvalues are ±ϵ(k), where ϵ(k)=2h2+J2−2hJcos⁡k. For a 2×2 matrix C acting on the defined C2, write ∥C∥op:=sup⁡{∥Cv∥C2:∥v∥C2=1}. Then ∥M(k)∥op=2∣h−Jeik∣≤2(∣h∣+∣J∣). Define M:L2(T;C2)→L2(T;C2) by (Mf)(k)=M(k)f(k) almost everywhere. This is an everywhere-defined bounded multiplication operator, and FK∞F−1=M. By the stated resolvent convention, λ∈σ(K∞) exactly when λIK−K∞ has no bounded everywhere-defined two-sided inverse on K. Its spectrum is exactly ⋃k∈T{−ϵ(k),ϵ(k)}. The nonnegative band is ϵ(T), whose minimum is Δbulk=min⁡kϵ(k)=2∣∣h∣−∣J∣∣, so this one-particle band closes exactly when ∣h∣=∣J∣. This statement does not assert uniqueness of an infinite spin-chain ground state or a thermodynamic-limit singularity.

Facts & Assumptions

Given: Countable Choice; real h,J in joules; and the finite-chain coefficient convention.

[A1]

Countable Choice is assumed for the Fourier-unitarity and Hilbert-adjoint suppliers (The Axiom of Countable Choice (ACω)).

[F1]

Open transverse Ising chain and ordered Majorana operators and Exact quadratic reduction and Gibbs trace of the open Ising chain: the field and bond coefficients are h and J, and the open-chain Majorana coefficient entries are 2h and 2J on the two alternating diagonals.

[F2]

Unitary Fourier transform for a two-component lattice sequence: with normalized measure dk/(2π), Fx(k)=∑jxjeijk extends to a unitary from ℓ2(Z;C2) onto L2(T;C2).

[F3]

Unitary Fourier transform for a two-component lattice sequence defines K with norm ∥x∥2=∑j∥xj∥C22 and inner product ∑j⟨xj,yj⟩C2; the scalar square-summable-family definition supplies the coordinate sums. Reindexing preserves these sums, so each finite shift has norm one.

[F4]

A bounded linear operator between normed spaces: a linear map is bounded when ∥Tx∥≤C∥x∥ for one finite constant C and all x.

[F5]

Resolvent and spectrum of an unbounded operator: λ is in the resolvent set when λI−T is bijective and its inverse is bounded everywhere; the spectrum is its complement.

[F6]

The Hilbert-space adjoint of a bounded operator: under Countable Choice, the bounded Hilbert-space adjoint T∗ is the unique map satisfying ⟨Tx,y⟩=⟨x,T∗y⟩ for every x,y.

[F7]

The one-dimensional torus and its normalized Haar integral: its quotient R/Z is compact and its normalized measure is m(E)=λ1(q−1[E]∩[0,1)). Under the homeomorphism [x]↦[2πx] to the angle torus, a Borel arc of angular length 2δ with 0<δ<π has measure 2δ/(2π)=δ/π>0.

Proof

1.1givenA1F1F2F3F4F6algebra

Let S+f have coordinates (S+f)j=fj+1 and let S−f have (S−f)j=fj−1. Reindexing gives ∥S±f∥=∥f∥ and ⟨S−f,g⟩=⟨f,S+g⟩, so S−∗=S+ and S+∗=S− by [F6]. The Fourier-unitarity fact [F2] makes K a Hilbert space, so the bounded shifts and their bounded linear combinations have Hilbert adjoints under [F6]. With B=2hI−2JS−, B∗=2hI−2JS+; the block formula A∞=(0B−B∗0) then gives A∞∗=−A∞. By [F3] and the triangle inequality, both B and B∗ have bound 2(∣h∣+∣J∣), whence ∥A∞x∥2=∥Bv∥2+∥B∗u∥2≤4(∣h∣+∣J∣)2∥x∥2. Thus A∞ and K∞=iA∞ are everywhere-defined bounded operators by [F4]. Finally ⟨iA∞x,y⟩=i⟨x,A∞∗y⟩=⟨x,−iA∞∗y⟩, so K∞∗=−iA∞∗=iA∞=K∞ by [F6].

2.1A1F2step 1.1algebra

For a finitely supported sequence, F(vj−1)(k)=eikv^(k) and F(uj+1)(k)=e−iku^(k) by reindexing the sums. Therefore FA∞F−1 is multiplication by (02(h−Jeik)−2(h−Je−ik)0); boundedness and density extend the identity to all of ℓ2. Multiplication by i gives the displayed M(k).

3.1step 2.1algebra

Put a(k)=2i(h−Jeik). Then M(k)=(0a(k)a(k)‾0) and M(k)2=∣a(k)∣2I. Its characteristic polynomial is λ2−∣a(k)∣2, so its two eigenvalues are ±∣a(k)∣=±2h2+J2−2hJcos⁡k, including the double zero when a(k)=0.

4.1A1F2F4F5F7step 1.1step 2.1step 3.1algebra

Let λ∈C lie outside the union of the two bands in the Statement. By step 3.1, ϵ(k)=∣a(k)∣ for every k, so d(k):=∣λ2−∣a(k)∣2∣ is continuous and strictly positive on T. For each k0, the open set Uk0:={k:d(k)>d(k0)/2} contains k0. Compactness from [F7] supplies a finite subcover Uk1,…,Ukm, whence d(k)>c:=min⁡1≤r≤md(kr)/2>0 for every k. The matrix identity (M(k)−λI)(M(k)+λI)=(∣a(k)∣2−λ2)I therefore gives the pointwise inverse (M(k)+λI)/(∣a(k)∣2−λ2). This inverse matrix field is continuous and its operator norm is uniformly bounded because ∥M(k)∥op≤2(∣h∣+∣J∣) and d(k)≥c. Multiplication by it is an everywhere-defined bounded two-sided inverse for M−λI, and its negative is an inverse for λI−M. Conjugating by F puts λ in the resolvent of K∞ by [F5]. Thus the spectrum is contained in the two bands.

4.2A1F2F5F7step 2.1step 3.1algebra

Fix k0∈T. When a(k0)≠0, the vectors w+=(a(k0)/∣a(k0)∣,1)/2 and w−=(−a(k0)/∣a(k0)∣,1)/2 are unit eigenvectors of M(k0) with eigenvalues ±ϵ(k0) by step 3.1; when a(k0)=0, M(k0)=0 and either standard unit vector is an eigenvector. For either eigenvalue λ, set δn=min⁡(π/2,1/n) and let In={k0+[t]:−δn<t<δn}, an open arc of angular length 2δn and measure mT(In)=δn/π>0 by [F7]. Put ψn(k)=1In(k)w/mT(In) using the corresponding fixed eigenvector w. Then ∥ψn∥2=1 and continuity of M gives ∥(M−λI)ψn∥2≤sup⁡k∈In∥(M(k)−M(k0))w∥→0. If M−λI had a bounded inverse, these unit vectors would have residual norms bounded below by the reciprocal inverse norm, a contradiction. By [F5] and the unitary equivalence in step 2.1, every band value lies in the spectrum of K∞.

5.1step 3.1step 4.1step 4.2algebra∎

Steps 4.1 and 4.2 give both inclusions, so the spectrum is exactly ⋃k∈T{−ϵ(k),ϵ(k)}. Since cos⁡k∈[−1,1], step 3.1 gives min⁡kϵ(k)2=4(h2+J2−2∣hJ∣)=4(∣h∣−∣J∣)2. The minimum is attained at k=0 when hJ≥0 and at k=π when hJ<0. Taking the nonnegative square root gives Δbulk=2∣∣h∣−∣J∣∣, which vanishes exactly for ∣h∣=∣J∣. This concerns the one-particle convolution operator only.

5 · Examples, experiments and counterexamples

None yet.

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