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.
Finite-lattice polynomial Hamiltonian data
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
- 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
- Divisibility, Euclidean Domains, Principal Ideal Domains and Unique Factorisation
- 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
- Filters and Ultrafilters
- Finite Counting, Factorials and Binomial Coefficients
- Finite Dimensional Normed Spaces and Riesz Lemma
- Finite Probability and the Probabilistic Method
- 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
- 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
- Hilbert Space Geometry and Riesz Representation
- Ideals, Quotient Rings and the Isomorphism Theorems for Rings
- Improper and Parameter-Dependent Multiple Integrals
- Improper Integrals
- Inner Product Spaces, Gram-Schmidt, Projections and Adjoints
- Lebesgue Measure on Euclidean Space
- Limits of Real Functions
- limsup, liminf, and Subsequential Limits
- Linear Independence, Bases and Dimension
- Linear Transformations, Rank-Nullity and Quotient Spaces
- Matrices, the Matrix of a Linear Map, and Change of Basis
- Measurable Functions and Simple Approximation
- Measures and Their Basic Properties
- Metric Spaces
- Mixed Partials, Taylor Formulae, and Extrema
- Modes of Convergence Egorov and Lusin
- Modules, Submodules, Quotient Modules and the Isomorphism Theorems
- Monotone Functions, Discontinuities, and Continuity Sets
- Monotone Sequences, Bolzano-Weierstrass, and Cauchy Completeness
- Normal Subgroups and Quotient Groups
- Normed and Banach Spaces
- Norming and Separation under Hahn–Banach
- Order, Zorn's Lemma, and the Axiom of Choice
- Orthonormal Bases, Parseval and Fourier Series
- Outer Measure and the Caratheodory Extension Theorem
- Polynomial Rings, the Division Algorithm and Roots
- Power Series and Real-Analytic Functions
- Primes, Euclid's Lemma and the Fundamental Theorem of Arithmetic
- Product Measures and the Fubini Tonelli Theorems
- Properties of the Integral and the Working FTC
- Qm Math Composites
- Qm Math Oscillator
- Relations, Functions, and Quotients
- Rings, Subrings, Integral Domains and Fields
- Rⁿ as a Normed Space; Vector-Valued Functions
- Roots, Rational Powers, and Classical Inequalities
- Separation Axioms: the Hierarchy
- Sequences and Limits
- Sequences and Series of Functions; Uniform Convergence
- Series: Convergence and the Nonnegative Tests
- Sigma Algebras and Borel Sets
- Simple Field Extensions and the Construction of the Complex Numbers
- Sine, Cosine, and the Definition of Pi
- Splitting Fields
- Strongly Continuous Semigroups and Hille Yosida
- Subspaces, Products, and Quotients
- Suprema and Infima
- Sylow's Theorems, p-Groups and Nilpotent Groups
- Symmetric Groups, Cycle Decomposition and the Sign Homomorphism
- Tensor Products of Modules
- The Analytic Hahn Banach Theorem
- The Baire Principles of Functional Analysis
- The Cantor Set, Baire Category, and Measure Zero in ℝ
- The Complex Exponential and Euler's Formula
- The Derivative and the Mean Value Theorems
- The Determinant of a Linear Operator, Cofactors and Cramer's Rule
- The Exponential Function
- The Fundamental Theorem of Algebra
- The Fundamental Theorem of Finite Abelian Groups
- The Galois Correspondence
- The Inverse and Implicit Function Theorems
- The Lebesgue and Riemann Integrals Compared
- The Lebesgue Integral and the Convergence Theorems
- The Logarithm and General Powers
- The Lᵖ Spaces Holder Minkowski and Riesz Fischer
- The Maximal Function and Lebesgue Differentiation
- The Riemann Integral in Rᵐ and Jordan Content
- The Riemann Integral: Definition and Integrability
- The Spectral Theorem, Positive Operators and Singular Value Decomposition
- The Topology of Euclidean Space
- The Total Derivative in ℝᵐ → ℝⁿ
- The ZFC Axioms and the Basic Set Constructions
- Topological Spaces and Continuity
- Topology of ℝ
- Triangularisation, Generalised Eigenspaces and Jordan Canonical Form
- Unbounded Self Adjoint Operators and Stones Theorem
- Vector Spaces, Linear Subspaces, Span and Direct Sums
2 · Summary
This mathematical page fixes one finite-mode space, a coercive real polynomial, and its smooth compactly supported differential expression. It constructs the closed positive form, proves compactness of its inclusion by cube means and coercive tails, and obtains one explicit self-adjoint form realization with compact resolvent. Its domain is specified spectrally, and the proof does not claim essential self-adjointness of the initial differential expression or uniqueness among other extensions. A scaled Hermite basis gives an exact quadratic-form comparison; the resulting eigenbasis yields global unitary evolution, a finite Gibbs trace, and the ground-state variational principle. All claims concern fixed finite and mathematical parameters; no measurement, continuum limit, or infinite-volume conclusion is included.
3 · Logical flowchart
4 · Definitions, postulates, theorems and proofs
Finite-lattice polynomial Hamiltonian data
Definition
Assume Countable Choice (The Axiom of Countable Choice ()). A finite-mode regulator in this item is a fixed finite nonempty label set with , a fixed enumeration of by , and the real coordinate vector . The labels may name sites of a finite lattice or finitely many modes; their geometry enters only through the chosen polynomial below. No limit in is part of this definition.
Choose real coefficients , constants and , and a real polynomial such that Let , with vectors identified up to almost everywhere equality and inner product linear in the first variable. Under Countable Choice this is a complex Hilbert space by with the integral pairing is a Hilbert space. Let , the smooth compactly supported complex-valued functions. The associated polynomial differential expression is the map It is well defined because each derivative of and the product are smooth and compactly supported. Set , so . This definition specifies finite mathematical data and a differential expression; it does not choose a self-adjoint operator domain or assert a continuum or infinite-volume limit.
Coercive polynomial form completion and injection
Statement
Assume Countable Choice. Use the finite data and notation of Finite-lattice polynomial Hamiltonian data: , , , and . For define and . Let be the completion of this inner-product space, constructed as equivalence classes of -Cauchy sequences. Then is a complex Hilbert space and the map sending a Cauchy class to its limit is a continuous injective linear map with dense image. Each has weak derivatives and a weighted function , and Here means explicitly that for every .
Facts & Assumptions
Given: Countable Choice, the data of Finite-lattice polynomial Hamiltonian data, and the and density results below.
The Axiom of Countable Choice (): every countable family of nonempty sets has a choice function; only countably many representatives are selected in the completion argument.
Finite-lattice polynomial Hamiltonian data: is complex with first-variable-linear integral pairing, , and .
with the integral pairing is a Hilbert space: under Countable Choice, is complete for and is its inner product.
is dense in for : under Countable Choice and for , is dense in .
Proof
Since and every , is a Hermitian positive-definite sesquilinear form on : in particular , and forces in . Thus its Cauchy-sequence completion with the stated equivalence relation is a well-defined inner-product space.
To see that the completion is complete, let be a Cauchy sequence of its classes. By [A1], choose with for each . The triangle inequality makes -Cauchy; its class is defined by the Cauchy-sequence construction, and . Hence is complete and therefore Hilbert.
For a -Cauchy representative sequence , the inequalities , , and show that , each , and converge in by [F2]; write their limits as , , and . The first limit defines a continuous map , since , and equivalent Cauchy sequences have the same limit.
For every , integration by parts gives . Passing to the limit in both integrals by convergence and Cauchy–Schwarz yields , so is the stated weak derivative.
On each compact ball , the continuous polynomial is bounded. Therefore in , while the same sequence converges there to ; uniqueness of limits gives almost everywhere on every integer-radius ball and hence almost everywhere on . Taking limits of the component norms in now gives the displayed formula for .
If in , then step 3.1 says for every ; this pairing is continuous by [F3] and is dense by [F4], so it vanishes on all of , and taking gives . Step 3.2 then gives ; the norm formula yields , so the embedding is injective. Finally its image contains , which is dense in by [F4]; thus the continuous injection has dense image and all claims follow.
Cube mean estimate and compact form inclusion
Statement
Assume the finite-dimensional coercive form data and Hilbert space of Coercive polynomial form completion and injection. The inclusion is compact: the closure in of the image of every bounded subset of is compact in the metric topology. The proof below uses an explicit cube-mean approximation for each finite and does not assume a general Rellich theorem.
Facts & Assumptions
Given: , the form domain , its norm, and the injection .
Coercive polynomial form completion and injection: is complete and injects densely into the complete Hilbert space ; for , its weak derivatives and weighted function are in and with .
Compact linear operator: a linear map is compact when the closure of the image of every bounded set is compact; it suffices to check the closed unit ball.
Cauchy–Schwarz: , with equality exactly for dependent pairs: on each space, .
Fubini's theorem for L^1 functions on a sigma-finite product: integrable functions on sigma-finite products have equal iterated integrals; the continuous cube integrands used below are integrable.
Proof
Given: Countable Choice as inherited through [F1], the finite data, and an arbitrary -bounded set.
Let be a cube of side and , with . Expanding the square and using Fubini on the finite cube gives Telescope through the coordinate changes and use . For the th change, the fundamental theorem of calculus and Cauchy–Schwarz give . For fixed values of the other coordinates and fixed , the measure of pairs whose segment contains is ; integrating the displayed bound over the cube variables and dividing by therefore yields the safe estimate It applies to complex because the squared-modulus Cauchy–Schwarz inequality is used.
For and , the coercive weight gives Thus the tails of the unit ball are uniformly small for large .
The estimate of step 1.1 passes to every : approximate in the norm by elements of (the defining completion), restrict to , and use [F1] to pass the and derivative limits.
Fix . Choose so the squared tail in step 1.2 is below . For the unit ball, [F1] gives . Choose an integer large enough that satisfies , and partition into the resulting finitely many cubes of side . Summing the squared estimates of step 2.1 over these disjoint cubes bounds the total mean-approximation error by . The squared error outside is the tail from step 1.2; thus replacing on each cube by its mean and setting it to zero outside the large cube has total squared error below , hence norm error below .
For the finite partition in step 3.1, the piecewise-constant mean function satisfies by Cauchy--Schwarz [F3]. Thus each mean coordinate has modulus at most , so the vectors of means lie in a bounded box in a finite-dimensional complex coordinate space. Subdivide its real-and-imaginary coordinates into finitely many boxes of sufficiently small side length so that the associated piecewise-constant functions approximate every mean vector to error below . Combining with step 3.1 gives a finite -net for the image of the unit ball. Scaling shows that the image of every bounded set is totally bounded.
Let be the closure of the image of the unit ball. It is complete because it is closed in the complete space [F1]. Suppose an open cover of has no finite subcover. For each , step 4.1 supplies a finite -net for the image of the unit ball with centers in ; the corresponding closed balls of radius cover its closure . Starting with , choose the least ball index for which has no finite subcover. Such an index exists, since otherwise finitely many finite subcovers would cover . Each is nonempty, closed, nested, and has diameter at most . For , any point of nonempty lies in both selected balls, so ; hence is Cauchy and converges to some . Since is nonempty and is contained in both and , the distance from to is at most . Therefore ; closedness of gives . For fixed and every , nonempty has a point with . Thus there are points of arbitrarily close to , and closedness gives . An open set of the cover containing contains for some ; for large , , so that one open set covers , a contradiction. Thus is compact. All recursive ball choices are least admissible indices in finite lists.
Step 5.1 proves that the closed-unit-ball image under has compact closure; applying the equivalent criterion in [F2] to the linear inclusion proves that is compact.
Anisotropic Hermite oscillator and quadratic form basis
Statement
Assume Countable Choice. Let , and . Let be the completion of for the form inner product This is the space of Coercive polynomial form completion and injection for and . For , there is a smooth product Hermite function such that and For the ground multi-index , the smooth representative is Each belongs to , and every satisfies the exact form expansion All parameters are positive real mathematical parameters; this lemma makes no physical identification.
Facts & Assumptions
Given: Countable Choice, , , Lebesgue measure on , and the specified form completion .
The Axiom of Countable Choice (): every countable family of nonempty sets has a choice function; the imported basis and Hilbert expansions are used under this hypothesis.
Coercive polynomial form completion and injection: the completion for is a Hilbert space, injects continuously into , and its completed norm records the weak derivatives and weighted function.
Multidimensional oscillator completeness: for , the product Hermite functions form a complete orthonormal basis of , and on each product function the differential expression has eigenvalue ; Hermite recurrence: ; Oscillator scaling and exact realization: the scaling map is with .
Fourier expansion in a Hilbert space: a complete orthonormal family in a Hilbert space has norm-convergent expansion and Parseval's identity; this applies to once completeness there is proved.
Proof
Given: the oscillator form, its completion, and positive coefficients .
In [F2] choose , and . Then and . The eigenvalue from [F2] in coordinate is . Summing over the coordinates gives the displayed differential eigenvalue . In the same scaling, and the normalized Gaussian becomes ; taking the product gives the stated ground representative.
Each product Hermite function is a polynomial times a Gaussian, so it and all first derivatives have finite squared integrals after multiplication by any fixed polynomial. Choose a smooth radial cutoff with on , on , and . Such a can be formed from for and for , by taking . Then and . The weighted-function error is supported on and bounded in squared integral by the integrable tail , so its norm tends to zero. For each derivative, the first term tends to zero by its Gaussian tail and the second has norm at most . Thus converges in the form norm, proving .
For , integration by parts and the eigenvalue identity in step 1.1 give The left side is continuous in the form norm of by Cauchy--Schwarz [F4] in , and the right side is continuous since . Density of in its defining completion extends the identity to every . Taking proves that is orthonormal in . If is orthogonal in this form inner product to every , conjugating the displayed identity gives for every . Completeness in from [F2] makes the image of zero, and the injective inclusion in [F1] makes in . Thus is complete there.
Parseval in with the complete orthonormal family gives Parseval in gives . Subtracting from the first identity yields the asserted expansion of the unshifted oscillator form.
Positive injective compact polynomial form resolvent
Statement
Assume Countable Choice (The Axiom of Countable Choice ()) and use , , , and from Coercive polynomial form completion and injection. For each , let be the unique vector of satisfying and view as an operator by the inclusion of Cube mean estimate and compact form inclusion. Then is bounded, compact, self-adjoint, positive, injective, and has dense range; moreover . This is the variational inverse of the shifted polynomial form. It establishes compactness and dense range but does not itself assert a differential-operator realization.
Facts & Assumptions
Given: Countable Choice, the coercive form Hilbert space , the complex Hilbert space , and the compact inclusion .
The Axiom of Countable Choice (): every countable family of nonempty sets has a choice function.
Coercive polynomial form completion and injection: is a Hilbert inner product on , , and .
Cube mean estimate and compact form inclusion: is a compact linear inclusion.
Riesz representation for Hilbert spaces: under Countable Choice, every bounded linear functional on a real or complex Hilbert space is uniquely represented by pairing in the first variable; the representing vector has the same norm as the functional.
A bounded linear operator between normed spaces: a bounded linear operator is a linear map with for some .
Compact linear operator: a linear operator is compact when every bounded set has image with compact closure.
Self-adjoint, positive, unitary and normal operators: for a bounded operator on a Hilbert space, self-adjoint means and positive means for all .
The double orthogonal complement of a subspace is its closure: for a linear subspace of a Hilbert space, .
Proof
For fixed , the functional is linear and satisfies by [F1] and Cauchy–Schwarz. Thus [F3] applied to the Hilbert space gives a unique with the stated variational identity. For , conjugate-linearity in the second argument gives , so uniqueness makes linear.
Taking in the identity gives . Hence , so (with the zero case immediate). Consequently is bounded by [F5].
The same identity and give ; division when yields . If , the variational identity says for every ; since is dense in by [F1], continuity of the inner product gives , hence . Thus is injective.
For , the variational identity and conjugate symmetry of yield , so is self-adjoint by [F7]. Also , so it is positive.
The map is bounded from into by step 2.1, and the inclusion is compact by [F2]. Therefore for every bounded , has compact closure, which is exactly compactness by [F6].
If , then for every . Self-adjointness from step 2.3 gives for every , so and step 2.2 gives . Thus , and [F8] gives . Therefore has dense range.
Self-adjoint unbounded polynomial interaction at fixed regulator
Statement
Assume Countable Choice and the data of Positive injective compact polynomial form resolvent. Its variational operator is compact, self-adjoint, positive, and injective on the infinite-dimensional complex Hilbert space . Let be its positive eigenvalues in nonincreasing order, with multiplicity, and choose corresponding orthonormal eigenvectors . Put and define The series for converges in by the Hilbert-space expansion theorem. Then is self-adjoint and satisfies for every ; also is compact. For every , Consequently , on the same domain, is a self-adjoint realization of the differential expression in Finite-lattice polynomial Hamiltonian data and satisfies for every . It has compact resolvent, meaning that for some the map is bijective with bounded inverse on , and that inverse is compact; here and . Put , the eigenvalues of ; equivalently, For every , The lowest eigenvalue is attained and has finite multiplicity. This selects a form realization; it does not assert that the differential expression on is essentially self-adjoint or that it has no other self-adjoint extensions.
Facts & Assumptions
Given: Countable Choice, , the compact positive injective operator , and its variational form.
The Axiom of Countable Choice (): every countable family of nonempty sets has a choice function; this is used to select orthonormal bases in countably many finite-dimensional eigenspaces.
Positive injective compact polynomial form resolvent: is bounded, compact, self-adjoint, positive, injective, and ; for each , is the unique vector satisfying for all .
Spectral theorem for compact self adjoint operators: the nonzero eigenspaces of a compact self-adjoint operator are finite-dimensional, their eigenvalues are real with only possible accumulation point , and their closed span is .
Every finite-dimensional real or complex inner product space has an orthonormal basis: each finite-dimensional eigenspace has an orthonormal basis.
Fourier expansion in a Hilbert space: a complete orthonormal family in a Hilbert space gives norm-convergent finite-subset expansions and Parseval's identity.
Unbounded linear operators: domain, graph and extension, Adjoint of a densely defined operator, and Symmetric, self-adjoint and essentially self-adjoint operators: an unbounded operator has a specified linear domain; its adjoint domain consists of vectors for which the defining pairing is represented by a Hilbert-space vector; a densely defined operator is self-adjoint exactly when its domain equals its adjoint domain and the actions agree.
Coercive polynomial form completion and injection and Fourier expansion in a Hilbert space: is a Hilbert space, injects into , and a complete orthonormal family in either Hilbert space has Parseval expansion in its Hilbert norm.
Cauchy–Schwarz: , with equality exactly for dependent pairs: the Hilbert-space and form pairings satisfy Cauchy--Schwarz.
Proof
By [F1], is compact and self-adjoint. Applying [F2] and using shows that the closed span of its nonzero eigenspaces is all of . If with , then by positivity, while injectivity rules out ; hence every nonzero eigenvalue is positive.
The domains defined by the squared coefficient sums for and coincide. Indeed Multiplying by and summing preserves finiteness in both directions because by [F4]. This proves the displayed coefficient-domain description of .
Each eigenspace is finite-dimensional by [F2], and so has an orthonormal basis by [F3]. The set of nonzero eigenvalues is at most countable, and [A1] selects these finite bases; their union is an orthonormal family whose closed span is by step 1.1. The space is infinite-dimensional: the indicators of the pairwise disjoint unit cubes , , are nonzero mutually orthogonal vectors. Thus the family can be indexed by . The bound gives and . The compact spectral theorem says only finitely many eigenvalues satisfy for each ; recursively taking a largest remaining eigenvalue (which exists because above half its positive supremum there are only finitely many) orders them nonincreasingly with multiplicity and gives , hence .
The family is complete by step 1.1, so [F4] gives in norm for every and Parseval. In particular is dense because it contains all finite linear combinations of the . Since each is real, the diagonal formula for gives for finite sums, and then for all by [F7] and convergence of the coefficient series; thus is symmetric. For with coefficients , Cauchy--Schwarz [F7] makes absolutely convergent, and step 2.1 gives , so .
To compute the adjoint domain, let and write . Testing the adjoint identity on each gives . Because , Parseval gives , so . Conversely, if this sum is finite, then and the coefficient identity holds first for finite sums and then for every by [F7]; hence and . Therefore and as operators; by the unbounded self-adjointness definition in [F5], is self-adjoint.
For , boundedness of and its action on each eigenvector give . Since , we have , so and . Conversely, for , . Thus is bijective with bounded inverse , which is compact by [F1].
The variational identity for , applied to , gives for every . Since and , each lies in and Thus is an orthonormal family in . If is orthogonal in to every , the displayed identity makes all coefficients zero. The completeness of and injectivity of force in . Hence is complete in , and Parseval in gives
Let and set . Integration by parts gives for ; both sides are continuous in for the norm by [F7], and is dense in , so the identity holds for all . It is the defining variational identity for , and uniqueness in [F1] gives . Hence and , so .
Parseval in gives . Subtracting times this identity from step 5.1 yields the claimed formula for , because .
If and , then by the definition of . Since , , so . Step 5.1 therefore gives . Thus every eigenvector, and indeed every operator-domain vector, belongs to the form domain.
Subtracting the real scalar preserves self-adjointness on the same domain, and gives eigenvalues . For , the diagonal expansion and Cauchy--Schwarz [F7] make absolutely convergent; Parseval then gives . The lowest eigenvalue corresponds to the largest eigenvalue of ; its eigenspace is nonzero and finite-dimensional by [F2]. Since , step 5.2 shows that extends the specified polynomial differential expression. Finally , whose inverse is the compact operator by step 4.2. These statements establish the declared realization and all listed scope limits.
Global unitary evolution at fixed finite regulator
Statement
Assume Countable Choice and let be the self-adjoint operator of Self-adjoint unbounded polynomial interaction at fixed regulator, with complete orthonormal eigenfamily and real eigenvalues . For define Then the series converges in for every ; is unitary, , , and is norm-continuous for every . Its norm derivative at any exists exactly for , and then This is a mathematical one-parameter group with a dimensionless real parameter; it makes no physical unit or empirical claim.
Facts & Assumptions
Given: Countable Choice; ; the self-adjoint ; its eigenvectors and real eigenvalues.
The Axiom of Countable Choice (): countable selections used in the eigenbasis construction are permitted.
Self-adjoint unbounded polynomial interaction at fixed regulator: is a complete orthonormal eigenfamily of , , and .
Fourier expansion in a Hilbert space: expansions in the complete orthonormal family converge in norm and Parseval identifies the squared norm with the coefficient-square sum.
Cauchy–Schwarz: , with equality exactly for dependent pairs: every coefficient functional is continuous.
Proof
Given: , its coefficients , and the real sequence .
Parseval gives . Since , the finite partial sums defining are Cauchy in , so converge; Parseval gives . The coefficient formula shows and , first on finite sums and then on all of by norm convergence and the norm bound. Thus is a surjective isometry, hence unitary, and .
Fix and . Given , choose a finite set with , possible by convergence of the nonnegative series in [F2]. The norm of the difference on the complement is at most . On the finite set , each scalar is continuous in , so the finite partial difference has norm below for sufficiently close to . The triangle inequality proves , establishing strong continuity.
Let , so . Since , has the same finite weighted coefficient sum and belongs to . For , The scalar integral identity gives . Thus the difference quotient coefficients are dominated in square sum by . On each finite set they converge to ; choosing a finite set with small tail in that dominating series and then taking proves convergence in to .
Conversely, suppose the norm derivative at exists and equals . Continuity of the coefficient functional from [F3] makes its value on the difference quotient converge to . Hence for every . Parseval for implies , so by [F1]. If the derivative exists at any other , the same coefficient argument multiplies each coefficient by a unit phase and yields the identical summability condition. Thus the differentiability domain is exactly at every .
Finite-regulator Gibbs trace and bounded expectations
Statement
Assume Countable Choice and use the finite-mode data, form domain , and self-adjoint from Self-adjoint unbounded polynomial interaction at fixed regulator. Let be its eigenvalues repeated with multiplicity, and let be a corresponding orthonormal eigenbasis. For define the finite-rank truncations The proof establishes their operator-norm limit , with action Put and let the oscillator eigenvalues be the nondecreasing ordering, with multiplicity, of Then is positive trace class and its trace satisfies the finite bound For every bounded linear operator , the normalized trace expectation is well defined and with absolute convergence. This is a finite- mathematical trace result; it assumes no statistical data and makes no continuum-limit claim.
Facts & Assumptions
Given: Countable Choice, finite data , the form domain , and .
The Axiom of Countable Choice (): countable eigenbasis choices are permitted.
Self-adjoint unbounded polynomial interaction at fixed regulator: is self-adjoint and has a complete orthonormal eigenbasis with real eigenvalues and ; for its form has the coefficient expansion .
Anisotropic Hermite oscillator and quadratic form basis: for the form with potential , the product Hermite basis has energies and its form is the coefficient sum .
Finite-lattice polynomial Hamiltonian data and Coercive polynomial form completion and injection: is a complex Hilbert space, and the interacting form norm is the completion norm with weight , controlling the weak derivatives and weighted function.
Nuclear series characterizes trace norm: under Countable Choice, a compact bounded operator that is the operator-norm limit of rank-one partial sums with is trace class, with trace norm at most that coefficient sum.
Trace of a positive operator is the sum of its eigenvalues: for a self-adjoint positive trace-class operator the trace is the sum of its eigenvalues with multiplicity.
Riesz representation for Hilbert spaces: every bounded linear functional on a complex Hilbert space is represented by a unique inner-product vector, with representing-vector norm equal to the functional norm.
Trace is absolutely convergent and basis independent: a trace-class operator has an absolutely convergent basis trace, equal to the trace computed from any nuclear representation.
A bounded linear operator between normed spaces: a bounded linear satisfies .
Bounded finite rank operators are compact: every bounded linear operator with finite-dimensional range is compact.
Norm limit of compact operators is compact: under Countable Choice, an operator-norm limit of compact operators into a Banach space is compact.
Fourier expansion in a Hilbert space: for a complete orthonormal family in , Parseval gives .
Proof
Given: , , , the interacting form, and .
Each is finite, and only finitely many multi-indices have for any real : for , that inequality bounds every nonnegative integer by , while for there are none. Fix the explicit degree-then-lexicographic enumeration of . Recursively, among the remaining tuples choose one of least energy, breaking a tie by that fixed enumeration; such a least energy exists because below the energy of the first remaining tuple there are only finitely many candidates. Every tuple is eventually listed, since only finitely many tuples have energy at most its energy. This gives the nondecreasing list with multiplicity.
On , the shifted interacting form has weight , so it dominates the shifted oscillator form from [F2]. Therefore a Cauchy sequence in is Cauchy in the oscillator form norm; the identity map extends to a continuous map , with the same representative because both completions inject into by [F3]. Subtracting the shifts in the two form norms gives
Fix and let . The linear map from to the span of the first oscillator eigenvectors, sending to its oscillator coefficients, has a nonzero kernel because . Choose in that kernel. Since lies in the span of the first interacting eigenvectors, [F1] gives . Its oscillator coefficients at indices below vanish, so [F2] gives . Step 1.2 now yields , hence This argument also covers , when the span of zero oscillator vectors is .
By step 2.1 and , The factorization follows first for finite rectangular sums by distributivity and then by increasing limits of nonnegative sums. Each denominator is positive because . The lower bound follows from its positive ground term.
The coefficients satisfy by [F1]. For each , Parseval makes the finite partial sums in the defining series for Cauchy in , so the series converges; its coefficient formula gives linearity and . Moreover Parseval gives since and . Each truncation is finite rank and hence compact by [F10], so the operator-norm limit is compact by [F11]. The same convergence makes its rank-one partial sums converge in operator norm, and their coefficient sum is ; thus is trace class by [F4].
Since each is real, the Fourier expansion [F12] gives for all ; the series is absolutely convergent by Cauchy--Schwarz for the coefficient sequences and boundedness of the weights. Thus is self-adjoint. It is positive because The defining series gives . If , taking Fourier coefficients shows for every . Completeness [F1, F12] then implies that every nonzero eigenspace is exactly the span of basis vectors with the corresponding repeated diagonal value; since every diagonal value is positive, is not an eigenvalue. Thus the eigenvalues with multiplicity are precisely , and [F5] gives . For bounded , each is finite rank and hence compact by [F10], while by step 4.1. Therefore is compact by [F11]. The functional is linear and has norm at most by [F9] and [F8]. By [F6] it is represented by a vector with and . Hence The partial sums converge in operator norm: the norm of the tail after is at most by step 3.1. This nuclear representation has coefficient sum at most . Since is compact as shown above, [F4] gives that it is trace class. Its basis trace in is absolutely convergent and equals the trace by [F7]. The th diagonal entry is so this basis sum is the asserted numerator. Each term is bounded in modulus by by [F8] and [F9], giving the stated absolute bound. Division by proves the expectation formula.
Ground eigenvalue as the form variational infimum
Statement
Assume Countable Choice and use , , and the operator from Self-adjoint unbounded polynomial interaction at fixed regulator. Let be the least eigenvalue of . Then The infimum is attained by every normalized vector in the lowest eigenspace; no simplicity or nondegeneracy is assumed.
Facts & Assumptions
Given: Countable Choice, the form domain , the form , and the complete eigenfamily of .
The Axiom of Countable Choice (): countable eigenbasis choices used in the form realization are permitted.
Self-adjoint unbounded polynomial interaction at fixed regulator: the eigenvalues are real, ordered increasingly with multiplicity, have a least value , and for ,
Proof
Given: and the ordered real eigenvalue list.
Since for every , [A1], [F1] and [F2] imply Thus every unit vector in has form value at least .
A normalized eigenvector belongs to by Self-adjoint unbounded polynomial interaction at fixed regulator, has norm one, and its sole nonzero coefficient is at an eigenvalue . Therefore , so the lower bound is attained and equals the infimum. If the lowest eigenspace has dimension greater than one, the same coefficient calculation applies to every normalized vector in it.
5 · Examples, experiments and counterexamples
None yet.
Sources
- Gerald Teschl, Mathematical Methods in Quantum Mechanics, 2nd ed., §§2.3 and 8.3, pp.76–83 and 212–214
- Richard S. Laugesen, Spectral Theory of Partial Differential Equations — Lecture Notes, Chapter 8, pp.48–50
- Gerald Teschl, Mathematical Methods in Quantum Mechanics, 2nd ed., §2.3, pp.76–83
- Richard S. Laugesen, Spectral Theory of Partial Differential Equations — Lecture Notes, Chapters 4 and 8, pp.27–32 and 48–50
- Gerald Teschl, Mathematical Methods in Quantum Mechanics, 2nd ed., §8.3, pp.212–214
- Richard S. Laugesen, Spectral Theory of Partial Differential Equations — Lecture Notes, Chapter 3, pp.21–24
- Richard Melrose, MIT 18.102 Lecture 23, printed pp.133–135
- Richard S. Laugesen, Spectral Theory of Partial Differential Equations — Lecture Notes, Chapter 4, pp.27–32
- Gerald Teschl, Mathematical Methods in Quantum Mechanics, 2nd ed., §5.1, pp.145–149
- Gerald Teschl, Mathematical Methods in Quantum Mechanics, 2nd ed., §§2.3 and 6.3, pp.76–83 and 163–169
- Richard S. Laugesen, Spectral Theory of Partial Differential Equations — Lecture Notes, Chapters 8–9, pp.48–54
- Gerald Teschl, Mathematical Methods in Quantum Mechanics, 2nd ed., §4.4, pp.139–141
- Richard S. Laugesen, Spectral Theory of Partial Differential Equations — Lecture Notes, Chapter 9, pp.51–54