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Transverse Ising Majorana reduction and bulk gap closing
1 · Prerequisites
- Absolute and Conditional Convergence; Rearrangement; Products
- Algebraic Closure, Embeddings, and Separability
- Algebraic Extensions, Extension Degree, and Finite Fields
- Approximation and Compactness in C(K)
- Areas of Elementary Plane Figures
- Binary Operations, Monoids, Groups and Subgroups
- Bounded Linear Operators and Quotient Spaces
- Compact Operators and Riesz Schauder Theory
- Compact Self Adjoint Hilbert Schmidt and Trace Class Operators
- Compactness
- Compactness in Metric Spaces
- Completeness, Completion, and Uniform Continuity
- Complex Lp Spaces and Test-Function Conventions
- Complex Norms and Realification
- Complex Subspace Realification
- Complexification, Realification and Real Structures
- Composition Series, the Jordan–Hölder Theorem and Solvable Groups
- Congruences, the Integers Modulo n and the Chinese Remainder Theorem
- Construction of the Natural Numbers
- Construction of the Real Numbers via Cauchy Sequences
- Construction of the Real Numbers via Dedekind Cuts
- Continuity, IVT, EVT, and Uniform Continuity
- Convergence: Nets and Filters
- Cosets, Index and Lagrange's Theorem
- Countability and Uncountability
- Countability Axioms and Cardinal Functions
- Cyclic Groups and Direct Products
- Density Separability and Convolution in Lᵖ
- Determinants of Matrices over a Commutative Ring
- Diagonalisation and the Minimal Polynomial
- Distributions Test Functions and Differentiation
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- Divisibility, Greatest Common Divisors and Bézout's Identity
- Dual Spaces Adjoint Operators and Annihilators
- Dual Spaces, Bilinear and Quadratic Forms, and Sylvester's Law of Inertia
- Eigenvalues, Eigenvectors and the Characteristic Polynomial
- Ensembles And Limits
- Explicit diagonal Fock domains and occupation trace
- Filters and Ultrafilters
- Finite Counting, Factorials and Binomial Coefficients
- Finite Dimensional Normed Spaces and Riesz Lemma
- Finite Pauli dimer spectrum and exact separability threshold
- Finite Probability and the Probabilistic Method
- Finite Probability Spaces and Random Variables
- Foundations of the Real Numbers for Analysis
- Fourier Transform Convolution and Approximate Identities
- Free Modules, Exact Sequences, Projective and Injective Modules
- Fubini and Change of Variables
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- Fundamental Trigonometric Identities
- Gaussian Elimination, Elementary Matrices and Reduced Row Echelon Form
- Group Actions, Orbits, Stabilisers and Cayley's Theorem
- Group Homomorphisms and the Isomorphism Theorems
- Hereditary and Productive Behaviour of the Separation Axioms
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- Linear Independence, Bases and Dimension
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- Matrices, the Matrix of a Linear Map, and Change of Basis
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- Unbounded Self Adjoint Operators and Stones Theorem
- Vector Spaces, Linear Subspaces, Span and Direct Sums
2 · Summary
3 · Logical flowchart
4 · Definitions, postulates, theorems and proofs
Open transverse Ising chain and ordered Majorana operators
Definition
Let be an integer and let with the product inner product linear in its first argument. At each factor use
For , denote these matrices on factor and on every other factor. For real measured in joules define the finite open-chain matrix The upper limit is the open-boundary convention: no term couples site to site . Put and for . The ordered Majorana operators are
Definition references
Facts & Assumptions
Given: An integer , real energy parameters , and the displayed finite tensor-product space.
Pauli matrices and the two-qubit exchange operator: has its standard ordered basis and product inner product; the Pauli matrices are Hermitian, square to , and act on tensor factors by the stated tensor-product convention.
Proof
Each displayed Pauli matrix is an everywhere-defined endomorphism of . Its tensor embedding is therefore an everywhere-defined endomorphism of the finite-dimensional product space , using the fixed factor order in [F1].
Every and is a finite product of such endomorphisms, and both sums defining are finite (the second is empty when ). Thus all displayed operators are well-defined matrices on ; the only bond terms are exactly those indexed by .
Remarks
For , the following path records the open bond set and the onsite field terms. A node is one tensor factor; a solid edge labeled is one interaction term, and there is no edge from site back to site . The diagram records the indexing convention only; the matrix identities and later proofs are independent of the drawing.
Hermiticity and CAR of the ordered Ising Majoranas
Statement
For every integer and real , let , , and be the matrices defined for the open transverse Ising chain. Then each is Hermitian and
Statement references
Facts & Assumptions
Given: The finite tensor-product space and ordered operators of Open transverse Ising chain and ordered Majorana operators.
Open transverse Ising chain and ordered Majorana operators: and , with the empty string equal to the identity.
Pauli matrices and the two-qubit exchange operator: the matrices are explicitly displayed; conjugate-transpose gives , , , and direct multiplication of those displayed matrices gives the pairwise relations used below.
Proof
The string is Hermitian, has square , and commutes with and because it acts on different tensor factors. Hence and are Hermitian, and each squares to .
On one site, and . Their sum is zero, so the two distinct operators at the same site anticommute.
Let and choose either or at site and either or at site . The string in the later operator contains exactly one ; all other factors commute across distinct sites, while both and anticommute with 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.
Orthogonal normal form of a finite real skew matrix
Statement
For every integer and real skew-symmetric matrix , there are an orthogonal real matrix and numbers such that For a real square matrix , is positive semidefinite because for every real column vector . Its singular-value multiset is the multiset of nonnegative square roots of the eigenvalues of , each eigenvalue repeated according to its eigenspace dimension. In the displayed form, the positive are precisely the positive singular values of : each block with contributes two entries equal to , counting repeated block values separately. Every zero block pairs two kernel directions.
Facts & Assumptions
Given: and .
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
Regard as a complex matrix on . Since and is real, . By [F1], has an orthonormal eigenbasis with real eigenvalues. Complex conjugation sends an eigenvector of eigenvalue to an eigenvector of eigenvalue , because conjugating gives . Thus nonzero eigenvalues occur in opposite pairs.
Fix a unit eigenvector for , with real vectors . The vectors and belong to distinct eigenspaces of the Hermitian matrix , so . Expanding this equality gives and ; then gives . From , comparison of real and imaginary parts gives and . Therefore and are orthonormal and , , which is the displayed block in this basis.
Choose an orthonormal basis in each positive eigenspace of ; [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 . Hence the real planes from step 2.1 are mutually orthogonal. On the zero eigenspace, , so the real and imaginary parts of each vector lie in the real kernel of . The real and complex kernels have equal dimension because row reduction of the real matrix has the same pivots over and ; this dimension is minus twice the total number of positive eigenvectors, hence even. Choose a real basis of 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 .
Since is orthogonal, . Thus the singular-value multiset from the Statement has two entries for each block , including its two zero entries when . This identifies every positive block value once per real two-plane and completes the multiplicity assertion.
Exact quadratic reduction and Gibbs trace of the open Ising chain
Statement
Assume Countable Choice. Let , use the open-chain Hilbert space and Hamiltonian of the ordered Majorana definition, and let have units while have units joules. Define the real skew matrix by for , for , the opposite entries by skew-symmetry, and all other entries by zero. Let be its real orthogonal block energies, including zero values. Then for the transformed Majorana modes in the Proof, and its finite Gibbs trace is Every zero mode contributes a factor two. The chain is open throughout; no periodic Jordan–Wigner parity boundary term is included.
Statement references
Facts & Assumptions
Given: Countable Choice; an integer ; real in joules; and in .
Countable Choice is assumed exactly where the diagonal occupation-trace supplier is applied (The Axiom of Countable Choice ()).
Hermiticity and CAR of the ordered Ising Majoranas: each is Hermitian and .
Orthogonal normal form of a finite real skew matrix: a real skew matrix of size has an orthogonal basis of two-dimensional blocks with .
Explicit diagonal Fock domains and occupation trace: under Countable Choice, for a finite fermionic mode set with energies , , and , the diagonal occupation trace is ; its finite-mode case allows zero energies and hence .
Finite matrix spectral and state calculus: finite Hermitian matrices have orthonormal eigenbases, and the ordinary finite trace is basis-independent.
Proof
For every site, , so . For , , so . Summing exactly these terms gives the open-chain of [F1], with no bond.
For any paired indices with coefficient , setting and contributes by [F2]. Applying this to on and on yields .
By [F3], choose a real orthogonal with in the displayed blocks, and put . Since is real and orthogonal, [F2] gives . Define . Direct expansion using these anticommutators gives , , and . Using the matrix expression from step 2.1, substitution into the block expression gives .
The projections commute by the CAR in step 3.1 and are simultaneously diagonalizable: diagonalize using [F5], restrict the remaining commuting Hermitian matrices to its invariant eigenspaces, and continue through the finite list. Their joint eigenvalues lie in . If a joint eigenspace has occupancy in coordinate , maps it isometrically into the eigenspace with that bit changed to , since ; when the bit is , is the inverse isometry. Hence all joint eigenspaces have the same positive dimension. Their orthogonal sum is , whose dimension is , so each eigenspace is one-dimensional. The resulting ordered occupation basis identifies the representation unitarily with the finite fermionic Fock occupation basis.
In that occupation basis, is the diagonal finite-mode Hamiltonian with energies . Apply [F4] with mode set , chemical potential , and to obtain trace . The scalar shift multiplies this trace by , and [F5] permits the unitary change back to . Thus . If , its factor is .
Unitary Fourier transform for a two-component lattice sequence
Statement
Assume Countable Choice. Let and let be its normalized Borel probability measure, so in the angle coordinate its integral is , obtained from the normalized one-dimensional torus by . On use and , linear in the first argument. Define Define to be the vector space of pairs of Borel-measurable functions with , modulo equality -almost everywhere, with inner product These pairings are linear in the first argument. The square-summable-family supplier gives the scalar norm and pairing used coordinatewise. The space is the pair of scalar quotient spaces with the displayed sum inner product and completeness convention. Let . Define the linear map componentwise, from to . Its values are continuous finite sums and therefore belong to this space. Then preserves inner products on finitely supported sequences and has a unique extension to a surjective linear isometry (a unitary map) .
Statement references
Facts & Assumptions
Given: Countable Choice, the normalized one-dimensional torus, and two-component square-summable sequences.
The Axiom of Countable Choice (): assume Countable Choice, with its exact family-of-nonempty-sets formulation.
The one-dimensional torus and its normalized Haar integral defines the quotient torus , its normalized Borel measure, and its integral; under these give and . Square-summable families on an arbitrary index set and the space defines the scalar norm and pairing used for the two coordinates, while the vector-valued space and pairing are defined locally in the Statement.
The Fourier basis and Parseval's identity on the finite torus: under Countable Choice the one-dimensional coordinate characters form an orthonormal basis of , and the Fourier-coefficient map is a surjective linear isometry onto ; its inverse is the finite-subset-net Fourier series.
with the integral pairing is a Hilbert space: scalar functions are equivalence classes modulo equality almost everywhere, their pairing is , and this quotient space is complete.
Proof
For finitely supported , expanding the finite sums and using gives Thus is an isometry on its finite-support domain.
By [F2] under the explicit Countable Choice hypothesis [A1], the scalar Fourier-coefficient map is a surjective linear isometry from the complete space of [F3] onto scalar , with inverse given by the finite-subset-net Fourier series. This proves scalar completeness: a Cauchy sequence pulls back by that inverse to a Cauchy sequence in , whose limit maps to its limit. Applying this to each of the two coordinates proves completeness of with [F1]'s norm. The inverse Fourier map applied coordinatewise is a unitary and agrees with on finitely supported sequences by its finite polynomial formula. Those sequences are dense: for any , the finite-subset tail property in [F1] gives a finite with ; choosing with makes the squared truncation error at most that tail, hence below . Thus is dense and the continuous extension is unique.
Translation-invariant Ising Majorana symbol and bulk gap
Statement
Assume Countable Choice. Let be energies in joules, with the convention of the open-chain definition: the field coefficient is and the adjacent-site bond coefficient is , with no bond joining the final site to the first. On , write and define the everywhere-defined complex-linear operator by For any bounded operator on the Hilbert space , let denote its Hilbert adjoint. Use the Fourier unitary on with normalized measure. Define the continuous matrix symbol whose eigenvalues are , where For a matrix acting on the defined , write . Then . Define by almost everywhere. This is an everywhere-defined bounded multiplication operator, and . By the stated resolvent convention, exactly when has no bounded everywhere-defined two-sided inverse on . Its spectrum is exactly . The nonnegative band is , whose minimum is so this one-particle band closes exactly when . This statement does not assert uniqueness of an infinite spin-chain ground state or a thermodynamic-limit singularity.
Statement references
Facts & Assumptions
Given: Countable Choice; real in joules; and the finite-chain coefficient convention.
Countable Choice is assumed for the Fourier-unitarity and Hilbert-adjoint suppliers (The Axiom of Countable Choice ()).
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 and , and the open-chain Majorana coefficient entries are and on the two alternating diagonals.
Unitary Fourier transform for a two-component lattice sequence: with normalized measure , extends to a unitary from onto .
Unitary Fourier transform for a two-component lattice sequence defines with norm and inner product ; the scalar square-summable-family definition supplies the coordinate sums. Reindexing preserves these sums, so each finite shift has norm one.
A bounded linear operator between normed spaces: a linear map is bounded when for one finite constant and all .
Resolvent and spectrum of an unbounded operator: is in the resolvent set when is bijective and its inverse is bounded everywhere; the spectrum is its complement.
The Hilbert-space adjoint of a bounded operator: under Countable Choice, the bounded Hilbert-space adjoint is the unique map satisfying for every .
The one-dimensional torus and its normalized Haar integral: its quotient is compact and its normalized measure is . Under the homeomorphism to the angle torus, a Borel arc of angular length with has measure .
Proof
Let have coordinates and let have . Reindexing gives and , so and by [F6]. The Fourier-unitarity fact [F2] makes a Hilbert space, so the bounded shifts and their bounded linear combinations have Hilbert adjoints under [F6]. With , ; the block formula then gives . By [F3] and the triangle inequality, both and have bound , whence . Thus and are everywhere-defined bounded operators by [F4]. Finally , so by [F6].
For a finitely supported sequence, and by reindexing the sums. Therefore is multiplication by ; boundedness and density extend the identity to all of . Multiplication by gives the displayed .
Put . Then and . Its characteristic polynomial is , so its two eigenvalues are , including the double zero when .
Let lie outside the union of the two bands in the Statement. By step 3.1, for every , so is continuous and strictly positive on . For each , the open set contains . Compactness from [F7] supplies a finite subcover , whence for every . The matrix identity therefore gives the pointwise inverse . This inverse matrix field is continuous and its operator norm is uniformly bounded because and . Multiplication by it is an everywhere-defined bounded two-sided inverse for , and its negative is an inverse for . Conjugating by puts in the resolvent of by [F5]. Thus the spectrum is contained in the two bands.
Fix . When , the vectors and are unit eigenvectors of with eigenvalues by step 3.1; when , and either standard unit vector is an eigenvector. For either eigenvalue , set and let , an open arc of angular length and measure by [F7]. Put using the corresponding fixed eigenvector . Then and continuity of gives . If 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 .
Steps 4.1 and 4.2 give both inclusions, so the spectrum is exactly . Since , step 3.1 gives . The minimum is attained at when and at when . Taking the nonnegative square root gives , which vanishes exactly for . This concerns the one-particle convolution operator only.
5 · Examples, experiments and counterexamples
None yet.
Sources
- G. B. Mbeng, A. Russomanno, and G. E. Santoro, The quantum Ising chain for beginners, arXiv:2009.09208v2, §§1–2 and 6.2
- Pieter Claeys, Quench dynamics in the Transverse Field Ising Model, Many-body Quantum Dynamics @ TU Dresden lecture notes, §6
- G. B. Mbeng, A. Russomanno, and G. E. Santoro, The quantum Ising chain for beginners, arXiv:2009.09208v2, §§5–6.2
- G. B. Mbeng, A. Russomanno, and G. E. Santoro, The quantum Ising chain for beginners, arXiv:2009.09208v2, §§1–2, 6.2, and 10
- G. B. Mbeng, A. Russomanno, and G. E. Santoro, The quantum Ising chain for beginners, arXiv:2009.09208v2, §§3 and 6.2
- G. B. Mbeng, A. Russomanno, and G. E. Santoro, The quantum Ising chain for beginners, arXiv:2009.09208v2, §3.1.1 and §6.2
- Pieter Claeys, Quench dynamics in the Transverse Field Ising Model, Many-body Quantum Dynamics @ TU Dresden lecture notes, §6, equations (65)–(68)