Equipartition theorem Created 2026-09-24 Updated 2026-10-14
The equipartition theorem says that each independent quadratic term in a Hamiltonian described by classical mechanics has mean energy in a canonical ensemble. Here is the Boltzmann constant and the absolute temperature. Count terms in the energy, rather than vaguely counting everything that can move: one harmonic oscillator has one position degree of freedom but TWO quadratic terms, one in momentum and one in displacement.
A precise sufficient setting is with , where is one of the canonical variables, denotes all remaining variables, and the phase space integration measure factors as . The range of is the whole real line, independently of ; there is no constraint coupling its allowed values to other variables. The partition function must be finite, and the relevant expected values must exist. The Boltzmann factor then gives
The probability density function is a normal distribution with variance . A larger coefficient narrows the fluctuations enough to cancel its greater energy cost. This is why the mean contribution is independent of mass or spring constant.[ref]
For a proof outline, the one-variable Gaussian integral is , so . More generally, integration by parts in a canonical variable gives when its boundary term vanishes and the integrals converge. For this is twice its mean energy. At a finite hard boundary the boundary term need not vanish; hard-wall correction to harmonic equipartition illustrates the resulting departure. A constraint, a nonquadratic potential energy, or a noncanonical integration measure therefore requires its own calculation. The theorem is an ensemble average, not equality of instantaneous energies, and applying it to a recorded trajectory requires equilibration and sufficient sampling.
For a classical one-dimensional harmonic oscillator, with positive mass and spring constant ,
The origin is the equilibrium position. Its heat capacity is at fixed , not . Although the two mean energies agree, their measured amplitudes do not: and . In a harmonic optical trap, the position measurement observes the potential energy contribution; it does not measure both contributions by observing alone.[ref]
For particles in a three-dimensional classical monatomic gas, neglect interactions and thermally accessible internal excitations. Its three translational momentum terms give internal energy , heat capacity at constant volume , and heat capacity at constant pressure . Per mole, replace by the molar gas constant . For example, using stipulated , the molar heat capacity at fixed volume is . These results assume a dilute, nonrelativistic ideal gas with classical translational statistics, rather than a quantum degeneracy regime.
For an ideal gas of diatomic molecules, modeled as two chemical atoms with a bond, there are three translational quadratic terms, two accessible rotational kinetic energy terms for changes of bond orientation, and one bond-stretching harmonic oscillator with two quadratic terms. Rotation about the bond axis is not an additional active mode in this linear-molecule model. The three familiar limits of heat capacity at constant volume are
Corresponding molar heat capacities are , and . Counting the stretching harmonic oscillator only once as would give the wrong last value.[ref]
The frozen regimes require quantum mechanics. In the simple molecular rotation model, with state degeneracy , , and moment of inertia . For the bond-stretching quantum harmonic oscillator, with angular frequency and from the Planck constant. When , the three limits above correspond to , , and , provided translational motion remains classical. They are smooth crossovers, not abrupt switches. Real molecules can have different allowed rotational populations; at high temperature, thermal dissociation, internal excitations and nonharmonic bond motion can invalidate the fixed-molecule model before its last limit is reached.[ref]
For a quantum harmonic oscillator with fixed , put . Its exact mean energy and heat capacity are
At , the mean energy approaches and approaches . At , thermal excitation is exponentially suppressed and tends to zero, although the zero-point energy survives. Frozen thus means little thermal response, not zero motion or zero energy.[ref]
Figure 1. . Original computed equilibrium curves, not measured gas data. Left: approaches its classical value 1 as grows. Right: for stipulated . The rotational partition function is with every nonnegative integer allowed; is the variance of divided by . No molecular nuclear-spin restrictions, thermal dissociation or nonharmonic effects are modeled. Horizontal guides mark the three limiting values, not exact plateaus at finite temperature. Details.
A motivating measurement is thermal calibration of an optical trap. A focused laser through a microscope objective confines a bead in water; imaging or a quadrant photodetector records a position time series. Gieseler and colleagues describe a polystyrene bead of radius at , a trapping laser, and photodetector acquisition at . Their recorded bead continues undergoing Brownian motion; higher trapping power produces a narrower equilibrium position distribution. Infer the centered variance, not a squared distance from an arbitrary camera origin:
The normal distribution position histogram and agreement with dynamical calibration methods support the local harmonic optical trap interpretation. For a stipulated example, and imply . This calculated scale is not an experimental reading.[ref]
Position calibration is essential: if detector output has conversion , its physical variance is . An unknown scale cannot be determined together with from that one variance. A complementary calibration demonstrated by Tolić-Nørrelykke and colleagues combines the power spectrum of thermal motion with the bead response to known sinusoidal motion of a translation stage. The driven response supplies an additional length scale, and their method does not require bead size, liquid dynamic viscosity or wall distance as inputs. It still uses a thermal dynamical model; agreement between methods is a consistency check, not a theory-free proof of equipartition theorem.[ref]
The readout itself can hide fluctuations. Wong and Halvorsen used a optical trap and adjustable-exposure CCD imaging of a bead in water. They varied exposure and trapping power, held the bead away from the nearest wall, adjusted illumination to maintain comparable images, and measured tracking noise using a stuck bead. The measured variance fell as exposure increased; corrected results agreed with their time-averaging model. For a stationary overdamped harmonic optical trap, with optical trap relaxation time , an exposure of length measures . Its ideal noise-free variance is
For , : using the blurred variance in the uncorrected formula overestimates by . At , the calculated factor is . Additive tracking noise instead raises the measured variance and biases the inferred downward if left uncorrected.[ref]
Figure 2.
Equal mean quadratic energies with unequal fluctuations, and exposure-biased readout
. Original analytic models, not bead trajectories or measured curves. Left: equal-energy contours in scaled phase space, with , and , for . Increasing stiffness narrows position fluctuations but leaves both mean quadratic contributions equal to . Right: the exact noise-free exposure reduction ; at , and naive inferred stiffness is times true stiffness. The exposure calculation assumes stationary overdamped harmonic Brownian motion and uniform averaging. Details.
Useful controls are to record over many optical trap relaxation times, compare blocks for drift, calibrate the position scale, measure fixed-bead noise, vary exposure, and check the position histogram for departures from a normal distribution. A sparse sequence of accurate instantaneous positions can estimate an equilibrium variance; a long exposure averages away motion even if many frames are collected. Flow, appreciable laser heating, escape from the harmonic region or nonconservative forces can break the assumed thermal equilibrium. Inferring by imposing equipartition theorem is a calibration, whereas testing the relation requires an independently established stiffness and position scale. The beautiful practical connection is that microscopic randomness can set a force scale: once calibrated, a small constant applied force displaces the mean by . The same quadratic-term counting predicts macroscopic heat capacity and makes microscopic fluctuations useful measurements.
Negative temperature Created 2026-09-24 Updated 2026-09-24
Negative absolute temperature can occur only for a system with an energy spectrum bounded above. Since , higher-energy states are more populated than lower-energy states.
Spin-1 paramagnet Created 2026-09-24 Updated 2026-09-29
For independent spins with and one-spin Hamiltonian ,
Writing , its heat capacity is
Canonical partition function Created 2026-09-24 Updated 2026-10-14
The partition function is the sum of the Boltzmann weights over individual microstates. Dividing by it makes their probabilities sum to one. When summing distinct energies instead, include the state degeneracy: . For two independent distinguishable two-level systems,
The middle coefficient counts two microstates, exactly as in the preceding figure. For such units, ; this factorization requires additive energy and independence, and generally fails with interactions.
The usefulness goes beyond normalization. For fixed energies, derivatives of the natural logarithm of the partition function yield measurable quantities:
Here is internal energy, the second expression is the energy variance, and is Gibbs entropy. For one two-level system at fixed , its heat capacity and entropy are
At , these give , and . For independent units, all three quantities add.
The figure shows why heat capacity peaks. At low temperature, the excited energy is rarely occupied; at high temperature, the probabilities are almost equal and further warming barely changes internal energy. The largest response lies between these limits, at , where . Meanwhile entropy rises from zero toward , reflecting two equally likely alternatives. This high-temperature limit belongs to the stipulated two-level system; extra accessible energy eigenstates would change it.
Second variation Created 2026-09-24 Updated 2026-10-14
The second variation is the quadratic term in a functional's expansion along ; positivity on admissible variations is a local-minimum test.
Noether theorem Created 2026-09-24 Updated 2026-10-07
Noether’s theorem associates a conserved quantity to each continuous variational symmetry.
Optical ray in cylindrical coordinates Created 2026-09-24 Updated 2026-09-24
Fermat-type optical paths in cylindrical coordinates extremize refractive index times Euclidean arclength.
Dirichlet principle Created 2026-09-24 Updated 2026-09-24
Among functions with fixed boundary values, the solution of with uniquely minimizes the weighted energy
Stationary point Created 2026-09-24 Updated 2026-10-14
A point is stationary for a differentiable function or functional when its first derivative or first variation vanishes in every admissible direction.
Functional Created 2026-09-24 Updated 2026-09-24
A functional is a function whose inputs are themselves functions, curves, or other elements of a function space.
Direct method in the calculus of variations Created 2026-09-24 Updated 2026-10-14
The direct method takes a minimizing sequence, extracts a subsequence using compactness, and uses lower semicontinuity to show that its limit attains the infimum.
Path independence by vanishing periods Created 2026-09-24 Updated 2026-09-24
A holomorphic or meromorphic integrand has a single-valued path integral on a domain whenever its integral around every closed curve in that domain vanishes.
Branch cut joining cancelling poles Created 2026-09-24 Updated 2026-09-24
If a cut joins two poles with opposite residues, every loop avoiding the cut has equal winding number about the endpoints, so the two residue contributions cancel.
Monodromy of a meromorphic integral Created 2026-09-24 Updated 2026-10-03
Analytic continuation of an integral of a meromorphic function around a closed loop changes its value by times the winding-number-weighted sum of enclosed residues.
Two-dimensional boundary-layer equations Created 2026-09-24 Updated 2026-09-24
For steady incompressible flow with imposed outer pressure gradient,
The normal momentum equation makes pressure approximately uniform across the layer.
Boundary-layer scaling Created 2026-09-24 Updated 2026-09-28
Balancing with gives .
Magnetization Created 2026-09-24 Updated 2026-10-18
Magnetization is magnetic dipole moment per unit volume, described by a vector field . Average the microscopic magnetic dipole moments in a small region of volume around the point :
The averaging region should contain many microscopic constituents while being small compared with the distance over which the macroscopic magnetization varies. With number density of identical constituents, this becomes . Magnetic dipole moment has SI units , so magnetization has units : amperes per metre. The average is a vector sum, not a sum of magnitudes.[ref]
Alignment can change magnetization without changing the magnitude of any individual magnetic dipole moment. In a constructed counting example, eight equal magnetic dipole moments of magnitude occupy the same volume . Six along and two along give ; turning the two opposing magnetic dipole moments to doubles magnetization to . Both arrangements have the same sum of magnitudes, . Changing the individual magnetic dipole moments provides another possible response; their alignment and their magnitudes are distinct ingredients. Microscopic spin contributes magnetic dipole moment without being a literal rotating charged ball.
Figure 1. . Original eight-magnetic dipole moment counting model, with equal arrow lengths and equal averaging volumes. Reorienting two arrows doubles the net magnetic dipole moment without enlarging any individual magnetic dipole moment. The small count illustrates the sum; a macroscopic averaging region contains many more constituents. Details.
Distinguish magnetization , magnetic field , and magnetic field intensity . In SI,
Here is the vacuum permeability, and denotes the tesla. Magnetization describes matter's magnetic dipole moment density; magnetic field enters the Lorentz force; magnetic field intensity separates the free electric current contribution in the macroscopic equations. In particular, zero applied magnetic field does not generally imply inside a finite magnet: its demagnetizing field depends on shape.[ref]
For stationary electric polarization, magnetization produces bound current in the volume and on its bounding surface:
The curl gives a current density in ; is a surface current density in . The unit normal points outward from the magnetized material into a region with zero magnetization. Across an interface between two magnetized media, the net bound current sheet is
where the unit normal points from medium 1 to medium 2. Both faces contribute: medium 2 has the opposite outward normal vector. This fixes the cross product sign. If electric polarization changes with time, add its contribution to the bound current.[ref]
A short proof outline explains why both contributions are needed. Write , where is the indicator function of the material's volume. In the sense of distributions, its gradient is , with the surface delta distribution. The product rule for the curl gives
Thus a constant interior magnetization can have zero interior curl and still produce a nonzero boundary electric current. Equivalently, neighboring ideal microscopic current loops cancel along shared edges while uncompensated edges remain on the outside. This bound current representation predicts the same macroscopic magnetic field as the magnetization distribution; it does not require a wire or free charge transport around the magnet. Its usefulness is that the familiar Biot-Savart law can now calculate the magnetic field from a specified magnetization.
A time-dependent average magnetization need not vary smoothly under a smooth drive. The Barkhausen effect resolves collective jumps through their induced electromotive force; Barkhausen pulse area explains how that derivative readout relates to the underlying change.
Critical dimension of string theory Created 2026-09-24 Updated 2026-10-14
The critical dimension is the target-spacetime dimension in which quantum anomalies obstructing Lorentz or Weyl symmetry cancel. It is 26 for the bosonic string.
Here critical means cancellation of the string’s quantum anomalies; it does not mean the upper or lower critical dimension of a phase transition.
String oscillator Created 2026-09-24 Updated 2026-10-14
The Fourier modes and of the transverse closed-string coordinates obey harmonic-oscillator commutation relations. Modes with negative index create string excitations.
Polyakov action Created 2026-09-24 Updated 2026-09-24
The Polyakov action introduces an independent worldsheet metric :
Its metric equation makes conformal to the induced worldsheet metric, reducing it classically to the Nambu–Goto action.

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