Let on the Lie algebra itself. The Jacobi identity says, for every ,
Therefore , proving that the displayed structure-constant matrices form the Adjoint representation of a Lie algebra.
The bilinear form is the Killing form. It is symmetric by cyclicity of trace. Its invariance follows by expanding the two commutators:
In components this is precisely
Equivalently, the adjoint action preserves the bilinear form, so it is an invariant tensor.
The invariant abelian subalgebra is an abelian ideal of a Lie algebra . Assume it is nonzero, as required for the conclusion. For and , the map sends into , because it is an ideal. It vanishes on , because preserves the ideal and kills it. Relative to and a vector-space complement, this map has zero diagonal blocks, so its trace is zero. Thus
This proves that abelian ideals lie in the radical of the Killing form. Choose a nonzero in the ideal. Then for every , so the coordinate vector is a nonzero null eigenvector of the Killing matrix. The nonzero-ideal qualification cannot be dropped: the zero ideal is abelian even in a semisimple algebra with nondegenerate Killing form.
Now suppose is invertible and let in any Lie algebra representation. In matrix notation invariance is , where . Multiplying by the inverse form gives . Hence
No commutativity of the representation matrices has been assumed. This proves the centrality of the quadratic Casimir operator formed with the inverse Killing form. Schur lemma makes it a scalar on every finite-dimensional complex irreducible representation.
For SU(2), make the normalization explicit. In a Hermitian angular-momentum basis with , the structure-constant matrices obey
Thus . In the compact anti-Hermitian basis , the brackets have real structure constants and the Killing form of the SU(2) Lie algebra is instead ; the inverse contraction gives the same . This sign change is a basis convention, not a different spectrum.
In the complex highest-weight basis used earlier, the same Killing form and its inverse are
Consequently
On a highest vector of weight , the ladder calculation gives and . Its Casimir eigenvalue is therefore
Centrality gives the same value throughout the irreducible multiplet. This is the Killing-normalized SU(2) quadratic Casimir; the familiar angular-momentum operator has eigenvalue and is twice this inverse-Killing-form contraction.
Work first in a finite-dimensional SU(2) representation, with its invariant positive inner product. In the complexified Lie algebra, choose and . Let be a highest-weight vector with and , and put . The commutator with gives
Induction also gives
For this is . For the induction step, use on : the coefficient becomes . In particular
which proves the assumed formula rather than merely invoking it.
The norm identity shows that, for nonnegative integer , the ladder is nonzero for and stops with . Distinct eigenvalues make these vectors independent. Their span is stable under , and in the irreducible module it is the full space. Thus
For normalized states, , with the last state killed. General finite-dimensional SU(2) representations are direct sums of these ladders.
The representation category matters here. The Lie-algebra relations alone allow an infinite Verma module even at integral highest weight: its nonzero vector is singular. The finite representation can instead be constructed algebraically by taking the basis with the displayed actions and declaring ; all three Lie brackets then hold, including at the endpoints. Thus the finite-dimensional assertion uses the integrable SU(2) module, or this explicit finite quotient, rather than assuming that a singular vector must vanish in every highest-weight module.
For rank two, take a Cartan subalgebra with commuting basis elements. A root is a nonzero linear functional on for which a root space contains an element satisfying
Choose simple roots and their coroots . In the PDF's index convention, the Cartan matrix is
Normalize so . The difference of distinct simple roots is not a root, so the mixed positive-negative bracket is zero. This gives
The transpose in the last formula is essential and is printed correctly in the original PDF.
A highest-weight vector of labels is killed by both and is an eigenvector of the two . Repeated words in generate its highest-weight representation; each lowers the weight by the corresponding simple root. Restricting to the sl2 subalgebra associated with a root for either simple root gives the preceding integer ladder, so finite-dimensional highest labels must be nonnegative integers. The finite irreducible module is the highest-weight quotient imposing and the submodules generated by these relations, together with the Serre relations. Choosing independent nonzero lowering words gives a simultaneous weight basis; an extra multiplicity index is needed where a weight space has dimension greater than one.
For the specified B2 root system, the simple-root squared lengths are and their inner product is , giving
The positive root is generated by , and by . No further positive sums occur, so and . These are the relevant Serre relations. Applying the Cartan commutators to a weight vector proves
whenever the image is nonzero.
To enumerate the requested representation without guessing when arrows stop, realize it concretely as the Adjoint representation. For a Euclidean weight , its labels are . The highest root has labels , so it generates the irreducible adjoint module of this simple rank-two Lie algebra. Its nonzero weights are exactly its eight roots, and its zero weight space is the two-dimensional Cartan subalgebra. This gives the B2 adjoint representation weight diagram and the nine distinct states labels:
Their actual production by lowering can be seen from
An arrow labelled denotes a nonzero action of between the indicated weight spaces. The two paths into zero produce independent Cartan vectors. Hence there are nine distinct pairs, as requested when degeneracy is disregarded, but the full representation has dimension ten, not nine.
Figure 1.
B2 adjoint weights labelled by the PDF Cartan convention, with simple-root lowering arrows
. Details.
The invariant tensors of SU(3) include , and its upper-index counterpart. Consequently an antisymmetric pair of upper fundamental indices can be converted into one lower antifundamental index, and conversely; a completely antisymmetric triple is a determinant singlet. In the Young-symmetrizer tensor decomposition, complete columns of three can therefore be removed. A remaining diagram has rows of lengths : its two-box columns become dual indices and its remaining boxes give defining indices. The irreducible highest-weight component is represented by a mixed SU(3) tensor representation symmetric in all upper indices, symmetric in all lower indices, and with every upper-lower contraction removed. Such contractions produce the lower-weight components. The resulting symmetric traceless SU(3) tensor representation has Dynkin labels ; this is an equivalent canonical realization, not a claim that an arbitrary tensor already has those symmetries.
There are symmetric upper-index components and symmetric lower-index components. All contractions are equivalent under the separate symmetries. Their image is the separately symmetric tensor space with indices. To subtract its dimension legitimately, we must show that contraction is onto.
Represent such tensors by polynomials of bidegree in three variables and three dual variables . Up to a nonzero normalization, contraction is
If has bidegree , differentiation gives
Choose and . Then
has bidegree and : consecutive terms cancel, and the last further derivative vanishes. This constructs a preimage of every contraction target. If or , there is no contraction. Therefore the number of trace-free components is
The highest-weight vector lies in this kernel. The Young-symmetry construction identifies the traceless highest-weight component with the irreducible representation of labels ; equivalently its Weyl dimension formula agrees with the independently calculated kernel dimension above.
For traceless matrices , the tensor square of the SU(3) adjoint representation decomposes as
The component maps make the decomposition concrete. The singlet is . The two octets are the antisymmetric commutator and symmetric traceless anticommutator . Symmetrizing the two upper and two lower indices in and removing contractions gives , the 27. Its highest component is already visible in .
For the 10, contract the two lower indices with and symmetrize the three upper indices ; for its conjugate, contract the upper pair with and symmetrize the three lower indices. These maps are antisymmetric under exchange of . They are nonzero: produces a nonzero all-upper-1 component, and produces the conjugate all-lower-1 component. Thus they reach the irreducible and , each of dimension ten. The octet maps are also nonzero, for example on a pair of noncommuting matrix units and on equal nonzero traceless diagonal matrices. These equivariant maps supply distinct irreducible constituents, with the two octets separated by exchange symmetry. Their dimensions exhaust the product:
An octet operator between baryon octet states defines an intertwining operator . Its covariance follows from the commutator transformation law in the question. By Schur lemma, the number of independent reduced matrix elements is the multiplicity of the output octet in the product: there are exactly two independent coefficients. To display them, use a Hermitian octet matrix basis , , normalized by . The two allowed actions are
With and , this gives the two reduced octet matrix elements:
up to the common normalization absorbed into . All component dependence is fixed by the invariant symmetric and antisymmetric tensors. For a Hermitian operator and this Hermitian basis, may be chosen real; neither their values nor a relation between them follows from symmetry alone.
Use units in which the proton electric charge is one. The up quark and down quark both have spin angular momentum and form a flavour isospin doublet:
Their antiquarks have the opposite charges and third components of isospin, with the same total isospin and spin. This is strong-interaction flavour isospin, not the chiral weak isospin assignment.
The Clebsch-Gordan decomposition for SU2 says that spins combine into every from to in unit steps. It applies independently to spin and isospin. Thus
Before exchange symmetry is imposed, three light quarks have total spin or , and total isospin or ; the doublet occurs twice in the uncoupled tensor cube. With zero orbital angular momentum, .
Physical baryons must also be colour singlets. The three-quark colour singlet is completely antisymmetric, so the Pauli exclusion principle requires symmetric spatial-spin-flavour symmetry. For a symmetric spatial S-wave state, the spin-flavour factor is symmetric. The flavour quartet is symmetric, whereas the flavour doublets have mixed permutation symmetry; the spin factors have the analogous symmetries. Symmetric flavour therefore pairs with symmetric spin, while the two mixed factors pair in their unique symmetric combination. This is the Pauli constraint on three-quark flavour multiplets; it leaves
Equivalently the symmetric cube of the four-dimensional two-flavour spin space has dimension . The unmatched spin-isospin pairings in the bare tensor product do not describe the usual symmetric-spatial ground-state baryons.
For three light quarks, charge addition gives . The observed nucleon doublet and Delta baryon quartet have the following assignments; the listed contents specify flavour counts, not the complete spin-flavour wavefunction:
The proton and neutron have ; all four Delta baryons have . These states have positive parity in the zero-orbital ground-state model.
For a light quark-antiquark meson, both spin and flavour doublets combine into singlet plus triplet. In a conventional choice of phases the flavour states are
Each row can have or , since the two constituent spins couple to zero or one. At zero orbital angular momentum their parity is negative, following the meson parity and charge conjugation rule . The spin-zero isotriplet is the pion multiplet, and the spin-one isotriplet the rho meson multiplet. The nonstrange spin-one isosinglet is the idealized omega meson flavour direction. Its spin-zero counterpart is the nonstrange direction contributing to the eta and eta prime mesons; it is not automatically a physical mass eigenstate once other flavours and mixing are included.
Now introduce an isospin-zero quark of spin and charge . For baryons with one isospin-singlet quark, the two light quarks have either the antisymmetric flavour singlet or the symmetric triplet . Their colour pair is antisymmetric. Hence light-diquark spin-isospin correlation gives for and for . Coupling the spin produces
The three triplet rows have . For a strange-like charge , these are the neutral spin-one-half Lambda baryon, the spin-one-half Sigma baryon triplet of charges , and its spin-three-half starred partners. For a charm-like charge , they are the spin-one-half Lambda c baryon of charge , and the Sigma c baryon triplets of charges with spins and . Both possible new charge assignments have thus been covered; charge-conjugate antibaryons have opposite charges and unchanged .
The meson doublets with one isospin-singlet quark are , with
For their charges are , giving -like kaons and their vector partners; the conjugate doublet has and charges . For the charges are , giving -like D mesons and their vector partners, with charge-conjugate partners as well. Finally a hidden-flavour pair , if included, is neutral with and or . These are quantum-number classifications; charge and isospin alone do not determine particle masses or mixing angles.
Use throughout. Vary the Maxwell action with respect to the electromagnetic four-potential. Antisymmetry of the electromagnetic field tensor gives . After integration by parts, the Euler-Lagrange field equation is
A gauge transformation leaves unchanged because partial derivatives commute. It therefore leaves the Maxwell action and observable electromagnetic fields unchanged: different potentials represent the same physical field. This redundancy matters for canonical quantization: before gauge fixing, the momentum conjugate to vanishes and the four potential components cannot be treated as four independent physical oscillators.
Choose the Lorenz gauge , attainable by solving with suitable boundary data. The Euler-Lagrange field equation then reduces to
Residual Lorenz gauge symmetry consists of transformations with . The gauge condition and this residual redundancy ultimately leave two transverse polarizations of a free photon.
For the specified kinetic density , one has . Its Euler-Lagrange field equation is therefore . This density is the Feynman-gauge Maxwell kinetic density after a boundary-term subtraction, since
The divergence follows by expanding both sides and commuting the second derivatives. Thus the wave equation follows from a Feynman gauge action; the additional physical-state condition will implement the Lorenz gauge. One must not impose inside the original action before varying it.
Take the covariant components as canonical coordinates. The canonical momentum computed from is
The equal-time canonical Poisson brackets are , with coordinate-coordinate and momentum-momentum brackets zero. Applying canonical quantization gives
In particular . The negative temporal sign is the source of the indefinite state-space norm in covariant photon quantization.
The spatial Fourier transform of the wave equation gives an oscillator of frequency for each component. The Hermitian adjoint condition on the electromagnetic four-potential then yields the mode expansion of a free field
These are massless on shell modes. Consistently with the preceding equal-time canonical commutation relation,
The normalization is the same as for the scalar modes, with replacing the species identity matrix.
Gupta-Bleuler quantization starts with the Fock vacuum annihilated by every and imposes only the annihilation, or positive-frequency part of a quantum field, of the Lorenz gauge condition:
Imposing the entire Hermitian field divergence as a strong operator identity would be incompatible with the four-component canonical commutation relation. The weaker condition suffices: between two physical states its positive-frequency part vanishes on the ket, and its negative-frequency part vanishes on the bra. Hence .
For a one-photon state , commuting the constraint through the creator gives
Thus the allowed photon polarization vectors satisfy . Their state inner product, with the common momentum-normalization factor suppressed, is . Momentum eigenstates are delta-normalized; the same statements hold with finite norms for normalizable wave packets.
Rotate the spatial axes so that . The constraint is , so the complete allowed family is
The first vector is the allowed longitudinal gauge polarization, proportional to the null four-momentum . Its state has zero norm because ; it is also orthogonal to every constrained state because . A purely spatial vector alone is not an allowed physical polarization: its time component must accompany it to satisfy the constraint. The other two vectors are transverse polarizations, perpendicular to , with positive unit norms. For the displayed family,
The timelike negative-norm excitation has been excluded by the constraint, and the remaining form is positive semidefinite. The Gupta-Bleuler null-state quotient identifies and , removing the null direction. It leaves exactly two transverse physical photon polarizations with a positive inner product; their bosonic Fock space is the physical photon state space.
Finally use Feynman slash notation, , and impose four-momentum conservation . The external Dirac spinors obey
Set and . Replacing by in the first term of the electron-positron annihilation into two photons amplitude, the rightmost contracted vertex obeys
Since the Clifford algebra implies , that term becomes
For the second term, four-momentum conservation gives . The contracted vertex is now adjacent to the outgoing positron spinor on the left, so
Consequently
The two terms cancel, proving the two-photon fermion Ward identity
Exchanging the two photon labels proves the same result for . By linearity the amplitude is invariant under on either external photon leg. Therefore the null longitudinal gauge polarization has zero production amplitude: physical scattering produces only the two transverse photon polarizations. This cancellation also shows why both photon orderings in the tree-level Feynman diagrams are essential; either term alone fails the Ward identity.
All three fields have mass . In the interaction picture the quantum fields evolve with the free Hamiltonian operator, so their equations are
The interactions evolve the states instead. For the appropriate mode expansion of a free field is
Independent species have commuting creation and annihilation operators. The full set of canonical commutation relations is
These follow from the separate equal-time canonical commutation relations for the three real scalar fields. For comparison, in the Heisenberg picture the full Euler-Lagrange field equations contain interactions: , , and . These are distinct from the free equations used in the interaction picture.
There are no derivative couplings, so the interaction Hamiltonian is . The interaction picture evolution operator obeys
Iterating its integral equation gives the Dyson series
The ordered integration region is equivalent to the unrestricted region with time ordering and the factor . Taking the scattering limit , , with the usual adiabatic prescription for perturbation theory, therefore yields the S-matrix
All fields inside this expression are interaction picture fields.
Use relativistic normalization of a one-particle state and take , . Define the connected scattering amplitude by . The identity contribution describes no scattering; the term linear in cannot connect these four external particles. At quadratic order, the connected term in the Dyson series is
By Wick theorem, a connected Wick contraction must attach the two external legs to at one vertex, the two external legs to at the other, and contract the remaining two fields. The two assignments of species to cancel the Dyson factor . At either vertex, the assignments of its identical fields to the incoming and outgoing particle cancel the interaction factor . Equivalently, the coefficient is multiplied by , giving . Therefore, writing ,
Insert the Feynman propagator . The two vertex integrals impose and . With the Mandelstam invariant , this gives
This is distinguishable scalar scattering by a shared mediator with mediator mass . In physical elastic kinematics , so the denominator has no pole for . There is only the displayed -channel tree-level Feynman diagram: an - or -channel would require an absent mixed vertex. Each vertex contributes and the exchanged contributes , agreeing with the direct Wick contraction calculation.
Figure 1.
Tree-level elastic scattering of distinct scalar particles through a shared scalar mediator
. Details.
Use the Minkowski metric . Multiplying the block gamma matrices and using the Pauli matrix multiplication law gives
Thus these matrices satisfy the Clifford algebra relation . Since partial derivatives commute, the antisymmetric part of drops out of its contraction with . Multiplying the Dirac equation on the left by gives
Therefore every component of the Dirac spinor obeys the Klein-Gordon equation with mass .
For Lorentz covariance, take and , with constant and . The chain rule gives . The given intertwining relation then implies
This proves invariance of the Dirac equation under the joint coordinate and spinor transformation.
The infinitesimal identity follows directly from the spinor Lorentz generator commutator. To derive it, first move through a two-matrix product using the Clifford algebra:
Subtract the expression with and interchanged and multiply by . Thus
Writing gives , and hence
The last step uses , including the metric signs in raising the first index.
For parity symmetry in quantum field theory, set . The time derivative of is unchanged and each spatial derivative changes sign. Also commutes with itself and anticommutes with every . Consequently
This verifies the specified parity symmetry in quantum field theory action explicitly.
For charge conjugation, put , so . In the Dirac representation of the gamma matrices, are real and is imaginary. The Clifford algebra therefore gives for all four indices. Complex conjugation of the Dirac equation, followed by multiplication by , yields
This is the antilinear charge-conjugation intertwiner property. No electromagnetic background is being held fixed in this free-field calculation.
Apply the specified parity symmetry in quantum field theory action before charge conjugation. Since is real and ,
Thus the induced parity action on the charge-conjugate spinor has the opposite sign. In particular, if a spinor has intrinsic parity , its charge conjugate has intrinsic parity . Equivalently, at rest the positive-frequency Dirac spinors occupy the upper two components and have eigenvalue , whereas the negative-frequency Dirac spinors occupy the lower two components and have eigenvalue . The corresponding particle and antiparticle creation operators inherit these opposite signs under the specified parity convention. Hence electrons and positrons have opposite intrinsic parities; conventionally one assigns to the electron and to the positron. The common real overall parity sign may be reversed without changing this relative sign, as in opposite intrinsic parities of a Dirac particle and antiparticle.
Use units and the Minkowski metric , so . The canonical momentum of the real scalar field is , and the Hamiltonian operator is
Canonical quantization of a real scalar field promotes and to operator-valued distributions satisfying the equal-time canonical commutation relation
Products and operator commutators can first be interpreted after spatial smearing. An additive vacuum constant in does not affect the following equations. In the Heisenberg picture, . Applying the canonical commutation relation to the quadratic Hamiltonian operator, and integrating the gradient term by parts, gives
Thus the Klein-Gordon equation is an operator equation. The spatial Fourier transform reduces it to , with . Its two frequency branches, together with the Hermitian adjoint condition , give the mode expansion of a free field
The measure is Lorentz invariant; its normalization fixes that of the creation and annihilation operators rather than imposing any extra physical assumption.
For invariant-normalized scalar mode extraction, take the Klein-Gordon inner product of with the field. The positive-frequency contribution has coefficient and spatial integral . The negative-frequency contribution has coefficient and spatial integral , so it vanishes because . Consequently
Taking the Hermitian adjoint, with the order of the scalar factors immaterial, yields
Equivalently and . At a common time their operator commutator therefore is
The same calculation gives : the surviving factor is an energy difference supported at opposite spatial momenta. These are the bosonic canonical commutation relations in relativistic normalization of a one-particle state.
Choose the Fock vacuum by and . Only the annihilator-creator product contributes to the Wightman function, giving
Using time ordering and the reverse product for , the Feynman propagator, with the convention in this calculation, is
In particular the denominator in the spatial measure is in both terms.
To verify the four-dimensional Fourier transform representation, let and integrate the energy variable first:
The Feynman i-epsilon prescription puts the positive-energy pole at and the negative-energy pole at . For , the contour integral closes in the lower half-plane with clockwise orientation. The residue theorem multiplies the residue by , giving . For , it closes counterclockwise above: multiplying the residue by gives . Thus . After inserting the spatial exponential, reversing in the negative-time term gives exactly the time ordering expression above. Hence
This equality is understood as a distribution limit; the same prescription gives .
For the usual causal, stable autoregressive moving-average model with zero-mean white noise, sufficient conditions for a stationary invertible representation are
The roots of and then lie outside the closed unit disc. For a minimal representation these are the usual causality and invertibility root criteria for an ARMA model. A genuinely minimal ARMA(1,1) additionally has nonzero coefficients and no cancellation ; if a coefficient vanishes the order is lower. Common factors can reduce the process to white noise, so inequalities on an unreduced representation should not be asserted as necessary for every reduced process. A noncausal stationary solution of an unstable autoregressive equation is a different representation, and does not give the requested innovation-based Wold coefficients below.
Using the backshift operator , write . The absolutely summable geometric series gives
Thus the Wold representation is
Its coefficients are square-summable, so the series converges in mean square and defines a weakly stationary process. Invertibility makes the closed spans of past observations and past innovations equal. Since the current driving white noise is orthogonal to all past innovations, it is orthogonal to all past observations and is the linear innovation of this causal invertible process.
The spectral density of an ARMA process follows from the squared frequency response of the linear filter of a stationary time series:
This displayed density uses the usual two-sided convention. For the one-sided spectral density used in Question 5, multiply it by two and restrict to .
Let and for . Orthogonality of the driving white noise gives for . Hence
For , separate the term and sum the remaining geometric series:
Negative lags satisfy . With , interpret the lag-one factor as one and later powers as zero, recovering the MA(1) covariance.
To express prediction entirely through observations, invert the moving-average factor:
The best linear predictor from the whole past is therefore
Indeed is orthogonal to the closed linear span of the past. For any other past-measurable linear predictor , the mean squared error decomposes as , establishing optimality and error variance . The result only uses second-order properties; identifying this linear predictor with a full conditional expectation requires stronger assumptions such as independent innovations or joint Gaussianity. In the cancellation case within the stable range, , the off-zero covariances and predictor vanish, and the spectrum is constant.
Write and . The discrete Fourier transform coefficient is . Alternatively, by the given orthogonality relations, the harmonic obtained by linear least-squares projection has coefficients and . Thus the source's periodogram is the squared amplitude of a fitted harmonic, scaled as power per unit angular frequency:
It measures how much of the centered record varies at frequency . For odd , Fourier Parseval identity gives
The positive-frequency spacing is , so summing the power ordinates times this spacing estimates the total variance. The factor corresponds to the one-sided spectral density on ; the usual two-sided periodogram is half as large.
If the observations are Gaussian white noise with common variance , the harmonic sums are jointly normally distributed. Their means are zero even with a nonzero constant series mean, because each sine and cosine sums to zero. Orthogonality gives
Uncorrelated coordinates of a multivariate normal distribution are independent. Therefore all and are independent standard normals, and
Since the chi-squared distribution with two degrees of freedom has mean two and variance four,
Here is the one-sided white-noise spectral density. Its exact unbiasedness is accompanied by a nonconcentrating distribution: along Fourier frequencies tending to any interior frequency, has the same nondegenerate exponential law at every . It therefore does not converge in probability to one, proving failure of statistical consistency, not just nonvanishing variance.
For a general stationary process, exact finite-sample unbiasedness is not implied. Expanding the Fourier square instead gives
where is the autocovariance function. Under suitable short-memory regularity this tends to at frequencies . The periodogram is thus generally asymptotically unbiased, while the exact assertion above is for white noise.
Use local periodogram smoothing to reduce variance: average neighboring ordinates with weights summing to one, where but . At an interior frequency the shrinking frequency window makes the bias tend to zero for smooth , while averaging many weakly dependent ordinates makes the variance of order . For white noise with equal weights, the ordinates are exactly independent and the variance is exactly . For a general process, impose suitable short-memory and fourth-order dependence assumptions, such as a stationary Gaussian model with sufficiently summable autocovariances. These conditions, together with smoothness, give a consistent smoothed estimator. Boundary frequencies require an appropriately one-sided or reflected window.
Smooth spectral density alone is not enough. For example let , where is a nondegenerate random variable constant throughout the record, independent of independent unit-variance Gaussian , with . The unconditional autocovariance is zero off lag zero and its one-sided spectral density is the smooth constant . Nevertheless a long local average estimates the realized , not that deterministic unconditional value. This nonergodic example explains why a dependence/ergodicity condition accompanies the smoothing argument.
For the turning point test of randomness, the null is independent identically distributed continuous observations. Let be one if is a strict local maximum or minimum among , for , and set . Three ranks are equally likely; the middle observation is an extremum in four of the six orders, giving and . Therefore
Indicators more than two positions apart depend on disjoint observations and are independent. For neighboring indicators, both are one precisely when four observations alternate up-down-up or down-up-down. By the probability-integral transform, use four independent uniforms. The first pattern has probability
here , , with the two outer inequalities having probabilities and . The reverse pattern has the same probability, so and .
At separation two, the triples share only one endpoint value . Conditional on it, their other observations are independent. The probability that either triple's central observation is a turning point is
It follows that , so this covariance is . Combining all terms for gives
The standardized count is approximately standard normal for large , by a central limit theorem for bounded 2-dependent indicators. A two-sided randomness test rejects for large absolute values of
Too few turns suggests persistent movement, while too many suggests alternation. Exact rank-permutation calibration is possible at small . Ties invalidate the continuous-rank probabilities unless their handling is specified. The test probes this feature of randomness; nonrejection does not establish independence.
For minimization of an energy , simulated annealing at temperature targets the Boltzmann distribution relative to a specified parameter reference measure. With proposal distribution , accept with
At each temperature run the chain long enough to explore that law, then cool and retain the best state seen. For symmetric proposals every improvement is accepted, while a worsening move is accepted with probability . Equilibrium laws concentrate near global minima when their normalizing integrals are finite and the minima are suitably isolated. A particular rapid cooling schedule does not automatically inherit this guarantee.
Likelihood maximization uses energy , not . The source's later wording “ equal to the log-likelihood” conflicts with its preceding minimization convention. The intended maximum-likelihood Boltzmann distribution is proportional to . With the opposite sign, likelihood maxima would be disfavored; for binomial data with both successes and failures the density often would not even be integrable near the endpoints as decreases.
For the maximum-likelihood estimates, write , and . In the binomial distribution model with known positive integer , the log-likelihood is
Differentiating gives , hence . The second derivative is negative in the interior. If or , the maximum is at the corresponding endpoint. This model requires integer observations in ; otherwise its likelihood is zero.
For the normal distribution model write . Its log-likelihood is
For fixed , the unique maximizing mean is . Substituting it and differentiating in gives , so, assuming ,
If , the normal density likelihood grows without bound as with ; there is no finite interior maximum or ordinary finite AIC for that fit.
For Gaussian likelihood Gibbs annealing, use relative to . Completing the square and identifying an inverse-gamma distribution gives the Gibbs sampler conditionals
Integrating out contributes a factor proportional to , so the marginal is . The joint target is proper for when ; starting the Lebesgue-based annealing above this range would require a proper reference factor or bounded parameter domain. For sufficiently small , its moments satisfy
Thus equilibrium draws concentrate at as .
There is also a direct convergence proof for the actual successive Gibbs sampler updates here. Choose deterministic with , start at a finite deterministic , draw from the first conditional using , then draw from the second using . Conditional normal moments give and . The permitted inverse-gamma moments therefore yield
The coefficient on the preceding first moment is at most , and that on the preceding second moment is at most . The remaining coefficients are uniformly bounded, so both moment sequences are bounded by iteration. Since , the recursions then give and . Also . Hence
This proves convergence in mean square, and thus in probability, to the normal maximum-likelihood estimates for this explicit cooling/update scheme, rather than merely assuming equilibration.
For binomial likelihood-power annealing, normalizing on gives
Its mean is , and its variance is
The mean tends to and the variance tends to zero, proving concentration at the binomial maximum-likelihood estimate, including the endpoint cases. Independent exact draws from these beta laws are a simple annealing implementation within this model.
For model selection, the Akaike information criterion is with and . Thus
Use the endpoint convention . For a trans-dimensional annealing for penalized likelihood construction, target the disjoint model spaces with unnormalized densities
relative to and , respectively. The energies are half the unoptimized AIC, ; their joint minimizer is the fitted model with smaller AIC. Keep constants such as and the normal density normalization, which do not cancel across models. The within-model conditional draws are unchanged by these constant penalties.
Here is a complete dimension-changing proposal. Select a binomial-to-normal move with probability and a normal-to-binomial move with probability , both fixed; other steps can use the within-model updates. From , draw with density and set
This bijection from onto has inverse , . Its absolute Jacobian determinant is . The Binomial-normal reversible-jump annealing acceptance ratio is therefore
For a reverse proposal from , compute and deterministically and accept with
These ratios are reciprocal at inverse states and enforce detailed balance on the dimension-matched augmented spaces. They specify the proposal density, model-selection probabilities and Jacobian explicitly. The map is a valid example, not a claim of optimal mixing. Positive-temperature beta draws stay in the open interval even when the limiting estimate is an endpoint. At each temperature ensure adequate model switching; retain the best fitted penalized likelihood encountered. If minima tie, limiting concentration need not choose a unique model.
There is a material measurement qualification. A binomial probability mass and an unrounded normal density use different observation reference measures. Their raw AIC values are not an invariant, scientifically calibrated comparison of the same recorded data. The expressions and jump algorithm above implement the formal density comparison suggested by the question, with its units fixed. For integer-recorded measurements, a compatible normal model instead assigns probabilities , suitably adjusting boundaries or truncation if required. Then both models describe the same recorded outcomes relative to counting measure. Use those masses in the normal likelihood and the same reversible-jump formula; its simple normal MLE and conjugate Gibbs updates will generally no longer apply. This observation-model correction cannot be silently combined with the continuous-normal formulas.

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