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.
Oscillator trace Gibbs and divergent normalization
Exact canonical formulas for a one-mode diagonal oscillator model and a contrasting infinite-degeneracy model; no measured values or universal normalization claim.
Example
On , take to be the standard orthonormal basis and define the oscillator Hamiltonian with , . Its eigenvalues have units J. For in J, put and . The canonical trace and state are finite and By contrast, on an infinite-dimensional space with , is not trace class, so there is no normalized trace Gibbs density. The preparation in the first model is adopted by Canonical quantum thermal preparation; no experiment is reported.
Facts & Assumptions
Given: The specified diagonal operator, , in J/K, the canonical preparation rule, and the definitions of trace class and normal density.
The Axiom of Choice: the general trace-Gibbs variational branch retains full Choice; the explicit diagonal construction itself uses the given countable basis.
Trace class operator: a positive diagonal operator is trace class exactly when its nonnegative eigenvalue series is summable.
Trace-class normal density states: a positive trace-class operator of trace one is a normal density state.
Quantum spectral entropy and relative-entropy domains: the von Neumann entropy is the spectral sum , with .
Canonical quantum thermal preparation: an actually normalizable canonical model adopts .
Self-adjoint trace-Gibbs normalization and form-energy optimization: under the self-adjoint, lower-bound, trace-class/open--interval and finite-energy hypotheses, the Gibbs density has the stated energy-entropy identity and variational meaning.
Proof
Let . Finite-support vectors lie in , so the domain is dense. Since each is real, the diagonal operator is symmetric. If , there is such that for every . Testing gives , so , which is exactly . Conversely, if this sequence is square summable, Cauchy–Schwarz gives for every . Thus and .
The diagonal exponential has eigenvalues . The finite geometric sum identity and give , so . Set in J. For any compact inverse-energy interval , the dimensionless terms are bounded by . The ratio of consecutive terms of this last series tends to , so it is summable. Since for , this gives finite trace and first and second energy moments after multiplying the corresponding bounds by or . Hence [F1] and [F2] make a normal density, and [F4] identifies it with the adopted canonical preparation.
The normalized weights are . Absolute convergence permits subtracting the two convergent series to get ; therefore . This gives . Also , so summing using [F3] yields . Replacing by gives the displayed formulas. The direct sums verify the moment hypotheses of [F5], whose energy-entropy identity agrees with this calculation.
For on an infinite-dimensional , every basis vector is an eigenvector of with eigenvalue one. Their eigenvalue sum diverges, so [F1] says is not trace class. Its trace cannot be normalized to a finite partition function, establishing the contrasting failure without assuming a lower-bound-only Hamiltonian is normalizable.