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Controlled dilute Bose/Fermi occupation limit
Conditional mode-by-mode approximation for a trace-class ideal Bose or Fermi grand state with dimensionless fugacities 0<q_j≤r<1 and summable squared fugacities. The occupation and log-partition errors are bounded explicitly. This is a controlled dilute or low-fugacity limit, not a high-temperature criterion, universality statement, interacting-gas result, or empirical observation.
Statement
Assume the Axiom of Countable Choice (The Axiom of Countable Choice ()), the preparation postulate Quantum statistics and model equilibrium preparation, and the diagonal grand-trace hypotheses of Explicit diagonal Fock domains and occupation trace. Let the mode set be finite or countable, with and . Write and . Then The total mean occupations satisfy The grand log partition factors, with as defined in Explicit diagonal Fock domains and occupation trace, obey Consequently, Thus the displayed linear fugacity terms approximate both total mean occupation and log partition with a controlled aggregate error under the stated squared-summability hypothesis.
Facts & Assumptions
Given: ; adopted preparation and trace-normalized diagonal occupation law; dimensionless .
Quantum statistics and model equilibrium preparation: the species sector and normalized grand preparation are adopted assumptions, not mathematical consequences.
Explicit diagonal Fock domains and occupation trace, Statement: under its stated summability conditions, bosonic and fermionic marginals have means and , and is the sum of or .
Proof
For bosons, direct subtraction gives ; because , this is nonnegative and at most . For fermions, , which lies between zero and .
The identity follows by integrating the derivative of from zero. Since on , the integral is between zero and . Also , whose integrand lies between zero and , giving the Fermi bound .
Summing the nonnegative mode errors over any finite subset preserves these bounds. Taking the increasing limit over finite subsets gives the same inequalities for the total error because .
By [F1], the log partition function is the sum of the corresponding mode log factors. Sum the nonnegative factor remainders from step 1.2 over finite subsets and pass to the countable limit; squared summability makes each aggregate error finite and proves the claimed controlled first-order approximation.