Finite heat bath 2026-10-18
A finite heat bath has a finite whole-body heat capacity and therefore changes temperature when it absorbs heat . For a rigid closed system with no work, fixed composition and no phase transition, the first law of thermodynamics gives
If the heat capacity at constant volume is constant throughout this temperature interval, the integral becomes . This statement concerns an internal energy difference; need not be the body's absolute internal energy.
For an original example, put a rigid body 1 and a finite bath 2 into thermal contact inside an isolated system. Stipulate constant whole-body heat capacities and , with initial temperatures and . Each body remains internally uniform; the connection stores negligible energy; no external work, matter exchange or phase transition occurs. These are constructed model values. The argument in thermal equilibration of two finite bodies applies directly: equal final temperatures and conserved total internal energy give
Thus the heat transferred from body 1 to bath 2 is
Body 1 loses of internal energy and bath 2 gains exactly that amount. Body 1 cools by , while bath 2 warms by . Equal heat transfers produce unequal temperature changes because the heat capacities differ.
Figure 1.
Finite bath temperature changes and the integrated heat ledger
. Original constant-heat capacity model, not measured data. Left: accumulated heat leaving body 1 lowers its temperature and raises bath 2's temperature; the lines meet at and . Right: the shaded integrals have equal area , although their widths are and . The outgoing heat magnitude is shown positive; body 1's signed internal energy change is negative. Details.
The heat bath approximation can now be assessed against a chosen allowed temperature change . Constant requires , rather than merely calling the bath large. For this example, an allowed change of would fail because the computed change is . The exact bath shift and its ideal-reservoir limit are
Hold and both initial temperatures fixed in this limit. The transferred heat then approaches . The finite bath receives less heat because its warming reduces the available temperature difference. For heat capacities that vary, use the two integrals in the energy balance instead of this weighted average.
Conservation of energy also permits imagining the reverse transfer, so it cannot explain the direction of equilibration by itself. Entropy from heat capacity gives the additional test, using reversible comparison paths between equilibrium endpoints:
All ratios inside the natural logarithms use absolute temperatures. The actual exchange across unequal temperatures is irreversible, even though reversible paths calculate the endpoint entropy differences.
There is a short general proof of positivity. Put for positive constant heat capacities and positive initial temperatures. The strict concavity of the natural logarithm gives
with equality only for equal initial temperatures. In this proof all temperatures inside the logarithms mean their numerical values in one common absolute unit. This is Jensen's inequality applied to the same weighted average that conservation of energy selected. The direction of heat transfer and the stability of its endpoint also follow from entropy maximization under thermal contact.
Why must a conducting piston move slowly? A simple model couples the first law of thermodynamics to Newton's law of cooling. Assume a fixed amount of ideal gas with uniform temperature and constant whole-sample heat capacity at constant volume , a heat bath maintained at , negligible friction, and mechanically slow motion. Let be the effective thermal conductance, the reciprocal of the thermal resistance, in . Then
Positive heat transfer must offset expansion work to keep near . A finite and nonzero piston speed therefore require a temperature difference. This uniform-temperature model neglects spatial temperature gradients, sensor response, cylinder heat capacity and any change of with piston position; it is an illustrative calculation, not a fit to the isothermal gas syringe experiment.
Figure 1.
Conducting piston in a thermal bath and modeled temperature lag during expansion
. Details.
For a prescribed exponential volume change , define , and . The dimensionless temperature obeys a linear ordinary differential equation with initial value :
The plotted expansion uses stipulated and stops at , at . During expansion, the larger produces the larger temperature deficit; once the piston is held fixed, the deficit undergoes exponential decay as . Reducing makes the path more nearly an isothermal process, while increasing its duration. Reversing the piston with produces a temperature excess and outward heat transfer; the small- regime is the intended near-isothermal approximation. Mechanical slowness alone does not ensure sufficient heat transfer.
Finite-size rounding 2026-10-14
Finite-size rounding replaces a limiting discontinuity or divergence by a finite crossover or peak. For a spatial system near a continuous phase transition, the bulk description ceases to apply unchanged when the correlation length becomes comparable with the sample size. How the crossover width and location depend on size also depends on the model, geometry and boundary conditions; there is no universal rule for every phase transition.
An exact finite example is the Curie–Weiss model with , , and a conjugate field in energy units. Set and . Its statistical Hamiltonian and finite partition function are
The binomial coefficient counts the microstates with positive Ising spins. The diagonal terms in the square add a configuration-independent constant to the energy; retaining them fixes the normalization used here. Divide each summand by to obtain the probability mass function of . In particular,
The variance expression makes the finite response nonnegative, while spin inversion symmetry gives exactly at for every plotted .
Figure 1.
Exact finite Curie–Weiss rounding in field and temperature
. Details.
Every curve is computed from the finite partition function, without selecting one minimum of the Bragg-Williams free energy of the Ising model. The field panel holds fixed and shows increasingly rapid switching between opposite spin magnetizations. The temperature panel uses : its nonzero measures the typical magnitude, while the mean spin magnetization stays zero. The reference marks the limiting critical temperature, not a singular point of any finite curve.
A short limiting argument explains the field panel. Combining the binomial coefficient with its leading entropy gives a Helmholtz free energy per spin whose stationarity equation is . For and the two ordered minima have , where . For large well below the critical temperature, their relative Boltzmann weight is approximately , giving . Thus this two-peak approximation has a field width of order in . It is not valid at the critical temperature, where the peaks merge; the figure uses the exact finite sum throughout.
Finite-system analyticity Created 2026-10-14 Updated 2026-10-20
For finitely many microstates with finite energies that are real analytic functions of a real control , the canonical partition function at is a finite positive sum:
It and the resulting Helmholtz free energy are locally real analytic functions of and . Hence such a finite Ising model has no literal nonanalytic equilibrium phase transition. A limit of these real analytic functions can nevertheless fail to be a real analytic function; the narrow but smooth crossover can become a sharp phase transition.[ref]
Finite particle number alone is not the hypothesis of a finite sum. Classical phase space is continuous, and a system of quantum states can have infinitely many energy eigenvalues: its partition function requires convergence and local bounds that permit differentiation or an analytic extension of the integral or thermal trace. A divergent partition function, a singularly changed statistical Hamiltonian, or the zero-temperature limit falls outside the finite-positive-sum argument. Observing a steep change in a finite sample therefore motivates a limiting model; it does not measure an actual infinity.
Finite-temperature electron equation of state Created 2026-10-06 Updated 2026-10-20
Neglecting interactions and thermal pairs, the Fermi-Dirac distribution with kinetic energy determines the electron contribution to a stellar equation of state. The kinetic chemical potential is fixed by the electron number density, not an independently chosen pressure fraction:
The electron kinetic internal energy per volume is . In the nondegenerate limit ; at zero temperature the integrals become the equation of state of a cold electron gas. These are limits of one component and must not be added together as independent electron pressures. When electron-positron thermal pair abundance matters, both charge species must be included, with charge neutrality fixing their net density.
Finite-temperature quantum field theory Created 2026-09-24 Updated 2026-09-28
Finite-temperature quantum field theory represents thermal expectation values by evolution through an imaginary-time interval of length .
Consider a finite-duration Markov process with discrete, time-even states coupled to one thermal reservoir at positive temperature . Let include the initial probability of the sample trajectory . Define by reversing the control protocol and initializing it with the actual forward final probability distribution . Write for the same states visited in reverse time order. Require normalized path laws with matching probability support: a path has positive forward weight exactly when its reverse has positive reverse weight. This excludes irreversible forbidden transitions and missing initial states.
Under local detailed balance, with positive heat delivered to the thermal reservoir, the full path-weight logarithm is
The endpoint term is the change in stochastic system entropy; the conditional path ratio alone accounts for the thermal reservoir. Here is the Boltzmann constant. Both terms matter even for a short observation. [ref]
Define the conjugate reverse functional by , so . Summing the path identity over paths with a given value gives the exact finite fluctuation theorem
for nonzero denominator, using probability masses or corresponding probability density functions. This is defined by the paired laws: it need not be the total entropy production obtained by independently restarting the thermodynamic construction for the reverse experiment. A generic driven experiment therefore does not imply .
Freeze the magnitude of an order parameter and retain just one common orientation for rigidly aligned cells. Give this collective coordinate energy at positive temperature . The Boltzmann distribution is the displayed normalized probability density function, where is the Boltzmann constant. Here is energy per cell, a different normalization from the source density in continuous vacuum selection by an external source. This is a deliberately restricted model of selection among already ordered orientations: it does not derive alignment or an ordering critical temperature from a spatial interaction.
Its mean orientation is an elementary ratio of integrals:
At every angle has equal probability, and the numerator vanishes exactly. For small , expansion of the exponential gives because the angular mean of is . For and the means are approximately and . At fixed , increasing concentrates the probability density function near ; expanding gives angular variance approximately . Consequently
The uniform angular average remains a symmetric mixture if one sets first. The other order selects a definite direction. This is the continuous-orientation version of the symmetry-breaking order of limits; it illustrates selection without replacing the separate problem of stability against spatial fluctuations.
Figure 1.
One collective angle illustrates noncommuting source and size limits
. Original normalized Boltzmann distribution integrals for the rigid-orientation model. Every finite- response curve passes through zero at zero source. At fixed positive source, increasing narrows the angular probability density function. These curves are model calculations, not measured data or an independent derivation of a thermodynamic ordered phase. Details.
First law of thermodynamics Created 2026-09-24 Updated 2026-10-18
The first law applies conservation of energy to a thermodynamic system. For a closed system with unchanged bulk kinetic energy and potential energy, write
Here is internal energy, is heat entering the system and is work done by the system on its surroundings. Compression therefore gives negative . Some references define work positive when done on the system; their plus sign represents the same balance with a different convention. If bulk kinetic energy or potential energy changes, include it in the total energy balance. [ref]
Supplying of heat while a gas does of work increases its internal energy by . Compressing it with of input work in an adiabatic process instead gives , and .
The distinction between and records state versus path: internal energy is a state function, whereas heat and work depend on the process. For an ideal gas expanding reversibly at constant temperature, and , since internal energy of an ideal gas depends only on temperature. Choose and : then . An insulated free expansion into vacuum between the same equilibrium endpoints has . Both have , yet their transfers differ. Their common entropy increase is . [ref]
For a simple compressible equilibrium system of fixed composition, combining the laws gives
Here is pressure and is volume. This identity relates neighboring equilibrium states. Identifying with actual heat and with actual work requires a suitable reversible thermodynamic process; an irreversible piston calculation uses the external resisting pressure for boundary work. This distinction prevents applying a reversible ideal-gas adiabat to an irreversible adiabatic piston compression.
A lumped sample of heat capacity coupled by thermal conductance to a bath has the displayed linearized energy balance. For constant internal power, the bath-to-sample temperature response is . Insulation and heat capacity suppress rapid bath fluctuations but have unity static bath-to-sample gain. A steady power change shifts the sample by , so improved isolation increases self-heating sensitivity and equilibration time. The lumped approximation requires internal equilibration faster than the variations being modeled.
A Galerkin method retaining one stream function mode, two temperature modes and two transverse-velocity modes produces five coupled amplitudes. A useful normalization gives , , , , . Here is the Prandtl number, , and measures squared rotation. The trivial equilibrium point has characteristic polynomial in its three coupled linear modes; the remaining two modes decay. Stationary bifurcations and oscillatory onset meet at , when .
A Galerkin method approximation can retain one roll streamfunction mode, two temperature modes and two magnetic-flux perturbation modes in vertical-field magnetoconvection. Projection onto these five modes, rather than pointwise equality of the truncated fields, gives a closed system of five ordinary differential equations. Products generate higher spatial harmonics that are discarded by orthogonal projection. The system has symmetry and hence admits paired steady roll branches.
Set . Then and . Differentiation gives a unique maximum at , proving the displayed mass and temperature. The curve is zero at extremality and asymptotic to at large mass.
For a three-dimensional parabolic band and fixed positive , the Sommerfeld expansion gives . This increase differs from the usual fixed-density calculation, in which the chemical potential decreases with temperature. The exact density is proportional to .
At imposed temperature and pressure, with fixed species amounts and only pressure-volume work, increasing total system-plus-reservoir entropy is equivalent to decreasing . Unconstrained particle exchange requires the reservoir chemical potentials to be included; minimizing over arbitrary particle number is a different problem.
For positive thermal diffusivity , thermal conductivity and length , subtract the stationary solution . The remainder satisfies the heat equation with a homogeneous Dirichlet boundary condition at zero and a homogeneous Neumann boundary condition at . The mixed Dirichlet-Neumann modes on an interval are , where . Thus for an initial temperature profile ,
For zero initial temperature, . The series gives the initial profile in the usual Fourier series sense and a smooth solution for . If , the zero initial profile does not satisfy the prescribed endpoint derivative at : the temperature can be continuous there without its spatial derivative extending continuously to that corner. The sign describes incoming heat flux, since the outward conductive heat flux is .
Stipulate a model receiver held at with a reference at . Choose , so outward thermal conduction is . Ignore other heat transfer, take in both states, and stipulate perfect optical/electrical thermal equivalence. These values specify an original example; they are not measurements or claimed performance of a NIST instrument.
With the beam blocked, supply . With light admitted, the required heater power is . For stipulated radiometric absorptance at the chosen single wavelength,
The illuminated receiver still gets of heating. The remaining of incident radiant flux escapes without heating it. Calling the measured heater reduction “incident power” would underestimate the stipulated incident radiant flux by .
Figure 1.
The same receiver temperature with different electrical and optical heating
. Original stipulated steady-state example, not experimental data. Both columns total of deposited heating and balance the same outward thermal conduction. Incident radiant flux is , of which is absorbed; the that escapes is outside the heating column. No response time or measured uncertainty is implied. Details.
Two variations expose different pitfalls. First, if admitting the beam also adds of stray heating while the same is absorbed from the intended beam, the heater falls to . The apparent reduction is now ; subtracting recovers the beam's absorbed power. Second, keep the original heater readings but stipulate a light-state receiver offset at fixed reference temperature. The link carries an extra ; the inferred absorbed power becomes , and incident radiant flux becomes . This second variation deliberately violates exact fixed-temperature substitution.
The heater can supply only nonnegative power in this model. Consequently an absorbed beam above the available dark heater power cannot be compensated at the chosen setpoint merely by reducing the heater. The operating point, link, or admitted radiant flux must change; zero heater demand is a range boundary, not evidence of greater radiant flux sensitivity.
Fizeau experiment Created 2026-10-18 Updated 2026-10-20
In 1851 Hippolyte Fizeau detected a change in light propagation through moving water using interference fringes. Sunlight entered a telescope through a partially reflecting mirror; two slits selected beams passing through parallel glass tubes, each long with internal diameter. A second telescope and focal mirror exchanged the tubes on return, and the beams recombined at a graduated eyepiece. Compressed air drove water between reservoirs, producing opposite flows; reversing both flows reversed the interference fringe displacement. The double transit suppressed static differences in temperature and pressure; filling only one tube with water tested this compensation. Separate supports reduced mechanical disturbance. Hippolyte Fizeau estimated flow speed from volumetric flow rate divided by tube cross section.[ref]
The Fizeau experiment turns a tiny change in phase velocity into a visible fraction of an interference fringe. The Fizeau experiment path-length convention below explains why both tube passages contribute with the same sign for one beam and the opposite sign for the other. This makes the apparatus sensitive to the part of the phase difference that reverses with the flow, while rejecting disturbances shared by both beams.