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Jüttner partition, probability, and perfect-fluid moments
Statement
Let be an event in a smooth time-oriented Lorentzian four-manifold, let be an energy in joules, and let be future unit timelike, . Fix in , in kelvins, in , in , and a reference action in . Put For and define With the future-shell measure of Canonical future massive mass-shell measure, define where in a future orthonormal tetrad whose time axis is . Both integrals are finite and positive, and The observer-rest momentum law is a probability measure. Define the dimensionless occupation and its number current and stress moments by These integrals converge, and, with they satisfy and . The quantities and have units and , respectively. The reference action is only a declared phase-space unit convention; it is not Planck's constant or a measured parameter.
Facts & Assumptions
Given: The future massive shell and measure of Canonical future massive mass-shell measure, its tetrad invariance, the future unit vector , the positive constants and fields in the Statement, and the countable-choice assumptions of the integration suppliers.
The shell measure is in any future orthonormal tetrad and is tetrad-independent (Canonical future massive mass-shell measure, Tetrad invariance of the future massive mass-shell measure).
For nonnegative Borel radial integrands on , polar coordinates give under ; the unit two-sphere has (Polar coordinates decompose Lebesgue measure into r^{n-1} dr d sigma, Sphere integrals in angle coordinates, The Axiom of Countable Choice ()).
The measure-space instantiation is , where is the Lebesgue sigma-algebra; throughout the Statement, means (Measure spaces, Lebesgue measurable sets, the family , and the restricted set function ). Under [A1], every Borel function on is -measurable (Assuming countable choice, every Borel subset of is Lebesgue measurable). Integrating a nonnegative -measurable density over this space defines a measure, and a probability measure on is a measure of total mass one (The indefinite integral of a nonnegative measurable function is a measure, Probability measures and probability spaces).
On a measure space and an open real parameter interval, differentiation under an integral is valid if each parameter slice is integrable, the parameter dependence is differentiable on the interval outside a fixed measurable null set, each partial derivative (extended by zero where undefined) is measurable, and the absolute derivatives are bounded outside a fixed measurable null set by one nonnegative measurable integrable majorant, uniformly on that interval (Differentiation under the integral sign). Here the integrands on and on are smooth in the positive parameter at every integration point, with partial derivatives continuous in or , respectively, hence measurable. Their exceptional sets can therefore be empty; the local uniform majorants are checked in the proof.
On a bounded Euclidean domain, the divergence theorem identifies the volume divergence integral with its outward boundary flux, under (Divergence on a bounded C1 Euclidean domain, The Axiom of Countable Choice ()).
The hyperbolic functions are defined by the real exponential; they have the displayed addition and derivative identities (The six hyperbolic functions and their natural domains, Addition formulas, identities, parity, and derivatives of the hyperbolic functions).
Dominated convergence passes limits through the Lebesgue integral under a single integrable majorant (Dominated convergence).
Assume only , as required by the polar, sphere and divergence suppliers above; no arbitrary-index choice is used.
Proof
For , the defining integrand of is positive. Near it is bounded. For large , and ; after , the bound is integrable because for all sufficiently large . Hence each is finite and positive. By [F1]–[F2], writing and then gives The endpoint terms in the integral of vanish: the value is zero at , and its absolute value tends to zero at infinity since the exponential dominates . Thus , and .
The same polar substitution in gives The endpoint terms in the integral of vanish by the same exponential bound. Using and gives . Hence , which is finite and positive.
Interpret as on the measure space of [F3]. The density is positive and Borel, hence -measurable by [F3]. Thus is the measure on obtained by integrating this density against ; its total mass is by the definition of , so it is a probability measure on . Also has units , so and both have units ; hence is dimensionless.
Differentiation under the integral sign in is valid near any : for , , where and the majorant is integrable by . Thus . For the defining integral, on the derivative integrand is bounded in absolute value by , an integrable function after . [F4] therefore permits differentiation and gives , since . Combining this with the recurrence in the preceding calculation gives . Differentiating the formula for now shows
The bound and the finite integrals of and show that the current and stress integrals are absolutely convergent: in the rest tetrad, and . Their common prefactor is . Oddness in each makes the spatial current and off-diagonal stress entries zero; rotational invariance makes the three diagonal spatial entries equal. The time component of the current is , and the time-time stress entry is .
On , apply [F5] to . Its divergence is and its outward flux is , which tends to zero as because . The divergence is absolutely integrable since its magnitude is at most , whose integral is finite by the partition and energy calculations above. Dominated convergence [F7] on the increasing balls passes the bounded-ball identity to and gives The trace of the spatial stress is times this integral, and its three diagonal entries are equal by step 4.1; therefore each is .
The shell measure is independent of the future tetrad by [F1], and the integrals defining and are contractions of the geometric momentum vector with that measure. Thus their rest-tetrad components from step 4.1 and the pressure from step 5.1 determine the tensors intrinsically. In that tetrad and . Since and there, these are exactly and .
Depends on
Smooth time-oriented Lorentzian four-manifolds: the geometric objects of the model
Canonical future massive mass-shell measure
Tetrad invariance of the future massive mass-shell measure
Polar coordinates decompose Lebesgue measure into r^{n-1} dr d sigma
Sphere integrals in angle coordinates
Divergence on a bounded C1 Euclidean domain
Differentiation under the integral sign
Dominated convergence
The six hyperbolic functions and their natural domains
Addition formulas, identities, parity, and derivatives of the hyperbolic functions
The indefinite integral of a nonnegative measurable function is a measure
Probability measures and probability spaces
Measure spaces
Lebesgue measurable sets, the family , and the restricted set function
Assuming countable choice, every Borel subset of is Lebesgue measurable
The Axiom of Countable Choice ()