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Dirac bracket
Dirac bracket
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The Dirac bracket is a generalization of the Poisson bracket developed by Paul Dirac[1] to treat classical systems with second class constraints in Hamiltonian mechanics, and to thus allow them to undergo canonical quantization. It is an important part of Dirac's development of Hamiltonian mechanics to elegantly handle more general Lagrangians; specifically, when constraints are at hand, so that the number of apparent variables exceeds that of dynamical ones.[2] More abstractly, the two-form implied from the Dirac bracket is the restriction of the symplectic form to the constraint surface in phase space.[3]

This article assumes familiarity with the standard Lagrangian and Hamiltonian formalisms, and their connection to canonical quantization. Details of Dirac's modified Hamiltonian formalism are also summarized to put the Dirac bracket in context.

Inadequacy of the standard Hamiltonian procedure

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The standard development of Hamiltonian mechanics is inadequate in several specific situations:

  1. When the Lagrangian is at most linear in the velocity of at least one coordinate; in which case, the definition of the canonical momentum leads to a constraint. This is the most frequent reason to resort to Dirac brackets. For instance, the Lagrangian (density) for any fermion is of this form.
  2. When there are gauge (or other unphysical) degrees of freedom which need to be fixed.
  3. When there are any other constraints that one wishes to impose in phase space.

Example of a Lagrangian linear in velocity

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An example in classical mechanics is a particle with charge q and mass m confined to the x - y plane with a strong constant, homogeneous perpendicular magnetic field, so then pointing in the z-direction with strength B.[4]

The Lagrangian for this system with an appropriate choice of parameters is

where A is the vector potential for the magnetic field, B; c is the speed of light in vacuum; and V(r) is an arbitrary external scalar potential; one could easily take it to be quadratic in x and y, without loss of generality. We use

as our vector potential; this corresponds to a uniform and constant magnetic field B in the z direction. Here, the hats indicate unit vectors. Later in the article, however, they are used to distinguish quantum mechanical operators from their classical analogs. The usage should be clear from the context.

Explicitly, the Lagrangian amounts to just

which leads to the equations of motion

For a harmonic potential, the gradient of V amounts to just the coordinates, −(x,y).

Now, in the limit of a very large magnetic field, qB/mc ≫ 1. One may then drop the kinetic term to produce a simple approximate Lagrangian,

with first-order equations of motion

Note that this approximate Lagrangian is linear in the velocities, which is one of the conditions under which the standard Hamiltonian procedure breaks down. While this example has been motivated as an approximation, the Lagrangian under consideration is legitimate and leads to consistent equations of motion in the Lagrangian formalism.

Following the Hamiltonian procedure, however, the canonical momenta associated with the coordinates are now

which are unusual in that they are not invertible to the velocities; instead, they are constrained to be functions of the coordinates: the four phase-space variables are linearly dependent, so the variable basis is overcomplete.

A Legendre transformation then produces the Hamiltonian

Note that this "naive" Hamiltonian has no dependence on the momenta, which means that equations of motion (Hamilton's equations) are inconsistent.

The Hamiltonian procedure has broken down. One might try to fix the problem by eliminating two of the components of the 4-dimensional phase space, say y and py, down to a reduced phase space of 2 dimensions, that is sometimes expressing the coordinates as momenta and sometimes as coordinates. However, this is neither a general nor rigorous solution. This gets to the heart of the matter: that the definition of the canonical momenta implies a constraint on phase space (between momenta and coordinates) that was never taken into account.

Generalized Hamiltonian procedure

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In Lagrangian mechanics, if the system has holonomic constraints, then one generally adds Lagrange multipliers to the Lagrangian to account for them. The extra terms vanish when the constraints are satisfied, thereby forcing the path of stationary action to be on the constraint surface. In this case, going to the Hamiltonian formalism introduces a constraint on phase space in Hamiltonian mechanics, but the solution is similar.

Before proceeding, it is useful to understand the notions of weak equality and strong equality. Two functions on phase space, f and g, are weakly equal if they are equal when the constraints are satisfied, but not throughout the phase space, denoted fg. If f and g are equal independently of the constraints being satisfied, they are called strongly equal, written f = g. It is important to note that, in order to get the right answer, no weak equations may be used before evaluating derivatives or Poisson brackets.

The new procedure works as follows, start with a Lagrangian and define the canonical momenta in the usual way. Some of those definitions may not be invertible and instead give a constraint in phase space (as above). Constraints derived in this way or imposed from the beginning of the problem are called primary constraints. The constraints, labeled φj, must weakly vanish, φj (p,q) ≈ 0.

Next, one finds the naive Hamiltonian, H, in the usual way via a Legendre transformation, exactly as in the above example. Note that the Hamiltonian can always be written as a function of qs and ps only, even if the velocities cannot be inverted into functions of the momenta.

Generalizing the Hamiltonian

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Dirac argues that we should generalize the Hamiltonian (somewhat analogously to the method of Lagrange multipliers) to

where the cj are not constants but functions of the coordinates and momenta. Since this new Hamiltonian is the most general function of coordinates and momenta weakly equal to the naive Hamiltonian, H* is the broadest generalization of the Hamiltonian possible so that δH * ≈ δH when δϕj ≈ 0.

To further illuminate the cj, consider how one gets the equations of motion from the naive Hamiltonian in the standard procedure. One expands the variation of the Hamiltonian out in two ways and sets them equal (using a somewhat abbreviated notation with suppressed indices and sums):

where the second equality holds after simplifying with the Euler-Lagrange equations of motion and the definition of canonical momentum. From this equality, one deduces the equations of motion in the Hamiltonian formalism from

where the weak equality symbol is no longer displayed explicitly, since by definition the equations of motion only hold weakly. In the present context, one cannot simply set the coefficients of δq and δp separately to zero, since the variations are somewhat restricted by the constraints. In particular, the variations must be tangent to the constraint surface.

One can demonstrate that the solution to

for the variations δqn and δpn restricted by the constraints Φj ≈ 0 (assuming the constraints satisfy some regularity conditions) is generally[5]

where the um are arbitrary functions.

Using this result, the equations of motion become

where the uk are functions of coordinates and velocities that can be determined, in principle, from the second equation of motion above.

The Legendre transform between the Lagrangian formalism and the Hamiltonian formalism has been saved at the cost of adding new variables.

Consistency conditions

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The equations of motion become more compact when using the Poisson bracket, since if f is some function of the coordinates and momenta then

if one assumes that the Poisson bracket with the uk (functions of the velocity) exist; this causes no problems since the contribution weakly vanishes. Now, there are some consistency conditions which must be satisfied in order for this formalism to make sense. If the constraints are going to be satisfied, then their equations of motion must weakly vanish, that is, we require

There are four different types of conditions that can result from the above:

  1. An equation that is inherently false, such as 1=0.
  2. An equation that is identically true, possibly after using one of our primary constraints.
  3. An equation that places new constraints on our coordinates and momenta, but is independent of the uk.
  4. An equation that serves to specify the uk.

The first case indicates that the starting Lagrangian gives inconsistent equations of motion, such as L = q. The second case does not contribute anything new.

The third case gives new constraints in phase space. A constraint derived in this manner is called a secondary constraint. Upon finding the secondary constraint one should add it to the extended Hamiltonian and check the new consistency conditions, which may result in still more constraints. Iterate this process until there are no more constraints. The distinction between primary and secondary constraints is largely an artificial one (i.e. a constraint for the same system can be primary or secondary depending on the Lagrangian), so this article does not distinguish between them from here on. Assuming the consistency condition has been iterated until all of the constraints have been found, then ϕj will index all of them. Note this article uses secondary constraint to mean any constraint that was not initially in the problem or derived from the definition of canonical momenta; some authors distinguish between secondary constraints, tertiary constraints, et cetera.

Finally, the last case helps fix the uk. If, at the end of this process, the uk are not completely determined, then that means there are unphysical (gauge) degrees of freedom in the system. Once all of the constraints (primary and secondary) are added to the naive Hamiltonian and the solutions to the consistency conditions for the uk are plugged in, the result is called the total Hamiltonian.

Determination of the uk

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The uk must solve a set of inhomogeneous linear equations of the form

The above equation must possess at least one solution, since otherwise the initial Lagrangian is inconsistent; however, in systems with gauge degrees of freedom, the solution will not be unique. The most general solution is of the form

where Uk is a particular solution and Vk is the most general solution to the homogeneous equation

The most general solution will be a linear combination of linearly independent solutions to the above homogeneous equation. The number of linearly independent solutions equals the number of uk (which is the same as the number of constraints) minus the number of consistency conditions of the fourth type (in previous subsection). This is the number of unphysical degrees of freedom in the system. Labeling the linear independent solutions Vka where the index a runs from 1 to the number of unphysical degrees of freedom, the general solution to the consistency conditions is of the form

where the va are completely arbitrary functions of time. A different choice of the va corresponds to a gauge transformation, and should leave the physical state of the system unchanged.[6]

The total Hamiltonian

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At this point, it is natural to introduce the total Hamiltonian

and what is denoted

The time evolution of a function on the phase space, f, is governed by

Later, the extended Hamiltonian is introduced. For gauge-invariant (physically measurable quantities) quantities, all of the Hamiltonians should give the same time evolution, since they are all weakly equivalent. It is only for non gauge-invariant quantities that the distinction becomes important.

The Dirac bracket

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Above is everything needed to find the equations of motion in Dirac's modified Hamiltonian procedure. Having the equations of motion, however, is not the endpoint for theoretical considerations. If one wants to canonically quantize a general system, then one needs the Dirac brackets. Before defining Dirac brackets, first-class and second-class constraints need to be introduced.

We call a function f(q, p) of coordinates and momenta first class if its Poisson bracket with all of the constraints weakly vanishes, that is,

for all j. Note that the only quantities that weakly vanish are the constraints ϕj, and therefore anything that weakly vanishes must be strongly equal to a linear combination of the constraints. One can demonstrate that the Poisson bracket of two first-class quantities must also be first class. The first-class constraints are intimately connected with the unphysical degrees of freedom mentioned earlier. Namely, the number of independent first-class constraints is equal to the number of unphysical degrees of freedom, and furthermore, the primary first-class constraints generate gauge transformations. Dirac further postulated that all secondary first-class constraints are generators of gauge transformations, which turns out to be false; however, typically one operates under the assumption that all first-class constraints generate gauge transformations when using this treatment.[7]

When the first-class secondary constraints are added into the Hamiltonian with arbitrary va as the first-class primary constraints are added to arrive at the total Hamiltonian, then one obtains the extended Hamiltonian. The extended Hamiltonian gives the most general possible time evolution for any gauge-dependent quantities, and may actually generalize the equations of motion from those of the Lagrangian formalism.

For the purposes of introducing the Dirac bracket, of more immediate interest are the second class constraints. Second class constraints are constraints that have a nonvanishing Poisson bracket with at least one other constraint.

For instance, consider second-class constraints ϕ1 and ϕ2 whose Poisson bracket is simply a constant, c,

Now, suppose one wishes to employ canonical quantization, then the phase-space coordinates become operators whose commutators become times their classical Poisson bracket. Assuming there are no ordering issues that give rise to new quantum corrections, this implies that

where the hats emphasize the fact that the constraints are on operators.

On one hand, canonical quantization gives the above commutation relation, but on the other hand ϕ1 and ϕ2 are constraints that must vanish on physical states, whereas the right-hand side cannot vanish. This example illustrates the need for some generalization of the Poisson bracket which respects the system's constraints, and which leads to a consistent quantization procedure. This new bracket should be bilinear, antisymmetric, satisfy the Jacobi identity as does the Poisson bracket, reduce to the Poisson bracket for unconstrained systems, and, additionally, the bracket of any second-class constraint with any other quantity must vanish.

At this point, the second class constraints will be labeled . Define a matrix with entries

In this case, the Dirac bracket of two functions on phase space, f and g, is defined as

where M−1ab denotes the ab entry of M 's inverse matrix. Dirac proved that M will always be invertible.

It is straightforward to check that the above definition of the Dirac bracket satisfies all of the desired properties, and especially the last one, of vanishing for an argument which is a second-class constraint.

When applying canonical quantization on a constrained Hamiltonian system, the commutator of the operators is supplanted by times their classical Dirac bracket. Since the Dirac bracket respects the constraints, one need not be careful about evaluating all brackets before using any weak equations, as is the case with the Poisson bracket.

Note that while the Poisson bracket of bosonic (Grassmann even) variables with itself must vanish, the Poisson bracket of fermions represented as a Grassmann variables with itself need not vanish. This means that in the fermionic case it is possible for there to be an odd number of second class constraints.

Illustration on the example provided

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Returning to the above example, the naive Hamiltonian and the two primary constraints are

Therefore, the extended Hamiltonian can be written

The next step is to apply the consistency conditions {Φj, H*}PB ≈ 0, which in this case become

These are not secondary constraints, but conditions that fix u1 and u2. Therefore, there are no secondary constraints and the arbitrary coefficients are completely determined, indicating that there are no unphysical degrees of freedom.

If one plugs in with the values of u1 and u2, then one can see that the equations of motion are

which are self-consistent and coincide with the Lagrangian equations of motion.

A simple calculation confirms that ϕ1 and ϕ2 are second class constraints since

hence the matrix looks like

which is easily inverted to

where εab is the Levi-Civita symbol. Thus, the Dirac brackets are defined to be

If one always uses the Dirac bracket instead of the Poisson bracket, then there is no issue about the order of applying constraints and evaluating expressions, since the Dirac bracket of anything weakly zero is strongly equal to zero. This means that one can just use the naive Hamiltonian with Dirac brackets, instead, to thus get the correct equations of motion, which one can easily confirm on the above ones.

To quantize the system, the Dirac brackets between all of the phase space variables are needed. The nonvanishing Dirac brackets for this system are

while the cross-terms vanish, and

Therefore, the correct implementation of canonical quantization dictates the commutation relations,

with the cross terms vanishing, and

This example has a nonvanishing commutator between and ŷ, which means this structure specifies a noncommutative geometry. (Since the two coordinates do not commute, there will be an uncertainty principle for the x and y positions.)

Further illustration for a hypersphere

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Similarly, for free motion on a hypersphere Sn, the n + 1 coordinates are constrained, xi xi = 1. From a plain kinetic Lagrangian, it is evident that their momenta are perpendicular to them, xi pi = 0. Thus the corresponding Dirac Brackets are likewise simple to work out,[8]

The (2n + 1) constrained phase-space variables (xi, pi) obey much simpler Dirac brackets than the 2n unconstrained variables, had one eliminated one of the xs and one of the ps through the two constraints ab initio, which would obey plain Poisson brackets. The Dirac brackets add simplicity and elegance, at the cost of excessive (constrained) phase-space variables.

For example, for free motion on a circle, n = 1, for x1 ≡ z and eliminating x2 from the circle constraint yields the unconstrained

with equations of motion

an oscillation; whereas the equivalent constrained system with H = p2/2 = E yields

whence, instantly, virtually by inspection, oscillation for both variables,

See also

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References

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Revisions and contributorsEdit on WikipediaRead on Wikipedia
from Grokipedia
The Dirac bracket is a generalization of the developed by to extend to systems with second-class constraints. It allows for the consistent treatment of constrained dynamical systems where the standard fails, enabling the formulation of on the constraint surface in and facilitating . Introduced in Dirac's 1950 paper, the Dirac bracket addresses limitations in standard Hamiltonian formalism for systems like those with gauge symmetries or rigid constraints, where the number of variables exceeds the physical . For two functions ff and gg on , the Dirac bracket is defined as {f,g}D={f,g}PBa,b{f,ϕ~a}PB(M1)ab{ϕ~b,g}PB,\{f, g\}_{\mathrm{D}} = \{f, g\}_{\mathrm{PB}} - \sum_{a,b} \{f, \tilde{\phi}_a\}_{\mathrm{PB}} (M^{-1})_{ab} \{\tilde{\phi}_b, g\}_{\mathrm{PB}}, where {,}PB\{\cdot, \cdot\}_{\mathrm{PB}} is the , ϕ~a\tilde{\phi}_a are the second-class constraints, and Mab={ϕ~a,ϕ~b}PBM_{ab} = \{\tilde{\phi}_a, \tilde{\phi}_b\}_{\mathrm{PB}} is the invertible constraint matrix. This bracket satisfies the properties of a on the reduced , ensuring time evolution preserves the constraints. The formalism has applications in , field theory, and beyond, influencing modern approaches in and quantization of constrained systems.

Introduction

Overview and motivation

The Dirac bracket represents a modification of the standard tailored for constrained Hamiltonian systems, particularly those involving second-class constraints, where the dimensionality of the exceeds the number of physical due to these restrictions. In such systems, the constraints define a reduced subspace on which the dynamics must evolve, ensuring that the remain consistent and preserve the symplectic structure adapted to the constraints. This adaptation allows for a well-defined that incorporates the effects of the constraints directly into the Poisson structure, facilitating the treatment of systems that cannot be handled by unconstrained . The primary motivation for introducing the Dirac bracket arises from the limitations of the conventional Hamiltonian procedure when applied to singular Lagrangians, such as those linear in velocities or exhibiting gauge symmetries, which lead to an inability to uniquely solve for velocities from the momenta definitions and result in inconsistent . For instance, in gauge theories like or , the presence of redundancies in the variables causes the standard approach to break down, as the of the Lagrangian becomes singular and non-invertible. These issues manifest in constrained systems where second-class constraints enforce relations that cannot be trivially incorporated, necessitating a generalized framework to maintain the of the dynamics and enable proper quantization. Central to this formalism is the distinction between strong equality (=0), which holds everywhere in , and weak equality (≈0), which is satisfied only on the constraint surface where the physical dynamics are confined. Constraints are thus imposed weakly to restrict the evolution to this surface, avoiding over-constraining the system while ensuring time preservation through consistency conditions. Paul Dirac introduced this generalized approach in his 1950 paper, motivated by the need for a consistent procedure applicable to constrained systems beyond the scope of standard .

Historical development

The Dirac bracket was first introduced by in his seminal 1950 paper, where he proposed a generalized framework for Hamiltonian dynamics in systems subject to constraints, aiming to address challenges in the quantization of singular Lagrangians. This work built upon Dirac's earlier explorations of constrained systems and provided a systematic method to modify the into the Dirac bracket, ensuring consistency in the presence of second-class constraints. The bracket's formulation allowed for the preservation of structure while accommodating restrictions that arise when the Lagrangian is not regular, marking a pivotal advancement in handling non-standard mechanical systems. The development of the Dirac bracket drew influence from prior investigations into constrained Lagrangians, particularly those where velocities appear linearly in the Lagrangian, leading to singular formulations. Notably, Léon Rosenfeld's 1930 analysis of the Hamiltonian formulation of highlighted issues with singular Lagrangians in gauge theories, where constraints arose due to the structure of the theory, necessitating special treatments. These earlier efforts underscored the need for a generalized bracket to maintain dynamical consistency, setting the stage for Dirac's comprehensive approach. In the and , the Dirac bracket gained widespread adoption among researchers, including Peter Bergmann and Dirac's collaborators, who applied it extensively to and relativistic field theories. Bergmann's work, in particular, integrated the bracket into the Hamiltonian formulation of gravity, facilitating the identification of constraints in curved and advancing efforts. This period saw the bracket become a cornerstone for analyzing gauge symmetries in complex systems, bridging and . The procedure was further formalized and rigorously developed in the 1992 textbook by Marc Henneaux and Claudio Teitelboim, which provided a detailed exposition of the Dirac bracket within the broader context of gauge quantization. This work solidified its role as a fundamental tool in , influencing subsequent applications in diverse areas. As a bridge to , the Dirac bracket enables the promotion of classical constraints to operator algebras, preserving the structure of canonical commutation relations.

Fundamentals of Constrained Hamiltonian Systems

Poisson bracket in standard Hamiltonian mechanics

In standard Hamiltonian mechanics, the Poisson bracket serves as a fundamental binary operation on the phase space of a system, which consists of generalized coordinates qiq_i and their conjugate momenta pip_i. For two smooth functions ff and gg on this phase space, the Poisson bracket is defined as {f,g}PB=i(fqigpifpigqi).\{f, g\}_{\mathrm{PB}} = \sum_i \left( \frac{\partial f}{\partial q_i} \frac{\partial g}{\partial p_i} - \frac{\partial f}{\partial p_i} \frac{\partial g}{\partial q_i} \right). This structure encodes the symplectic geometry of the phase space, enabling the description of dynamics without explicit reference to coordinates in certain formulations. The generates the through its action on the Hamiltonian HH, which represents the total energy of the system. Hamilton's equations take the compact form q˙i={qi,H}PB,p˙i={pi,H}PB,\dot{q}_i = \{q_i, H\}_{\mathrm{PB}}, \quad \dot{p}_i = \{p_i, H\}_{\mathrm{PB}}, where the time derivatives follow directly from the bracket's definition, yielding q˙i=H/pi\dot{q}_i = \partial H / \partial p_i and p˙i=H/qi\dot{p}_i = -\partial H / \partial q_i. More generally, the of any function ff on is given by f˙={f,H}PB+f/t\dot{f} = \{f, H\}_{\mathrm{PB}} + \partial f / \partial t, assuming possible explicit time dependence. This framework unifies the treatment of conservative systems in phase space. Key properties of the Poisson bracket underpin its role in Hamiltonian mechanics. It satisfies antisymmetry, {f,g}PB={g,f}PB\{f, g\}_{\mathrm{PB}} = -\{g, f\}_{\mathrm{PB}}, and the Jacobi identity, {f,{g,h}PB}PB+{g,{h,f}PB}PB+{h,{f,g}PB}PB=0\{f, \{g, h\}_{\mathrm{PB}}\}_{\mathrm{PB}} + \{g, \{h, f\}_{\mathrm{PB}}\}_{\mathrm{PB}} + \{h, \{f, g\}_{\mathrm{PB}}\}_{\mathrm{PB}} = 0, ensuring consistency with the Lie algebra structure of phase space transformations. Additionally, it obeys bilinearity and the Leibniz rule, {fg,h}PB=f{g,h}PB+g{f,h}PB\{fg, h\}_{\mathrm{PB}} = f\{g, h\}_{\mathrm{PB}} + g\{f, h\}_{\mathrm{PB}}. The fundamental brackets {qi,pj}PB=δij\{q_i, p_j\}_{\mathrm{PB}} = \delta_{ij}, {qi,qj}PB=0\{q_i, q_j\}_{\mathrm{PB}} = 0, and {pi,pj}PB=0\{p_i, p_j\}_{\mathrm{PB}} = 0 reflect the canonical symplectic form, often represented by the matrix J=(0II0)J = \begin{pmatrix} 0 & I \\ -I & 0 \end{pmatrix}, which governs the Poisson bracket in vector notation as {f,g}PB=fTJg\{f, g\}_{\mathrm{PB}} = \nabla f^T J \nabla g. These properties preserve the symplectic structure during dynamics. Canonical transformations, which map (qi,pi)(q_i, p_i) to new variables (Qi,Pi)(Q_i, P_i) while preserving the form of Hamilton's equations, are precisely those that leave the invariant. Such transformations satisfy {Qi,Pj}PB=δij\{Q_i, P_j\}_{\mathrm{PB}} = \delta_{ij}, {Qi,Qj}PB=0\{Q_i, Q_j\}_{\mathrm{PB}} = 0, and {Pi,Pj}PB=0\{P_i, P_j\}_{\mathrm{PB}} = 0, ensuring the symplectic structure is maintained and the dynamics remain equivalent in the new coordinates. This invariance allows for flexible reformulations of Hamiltonian systems without altering their physical content. However, in systems with constraints, the standard Poisson bracket encounters limitations that necessitate generalizations like the Dirac bracket.

Classification of constraints

In constrained Hamiltonian systems, constraints are categorized based on their origin and algebraic properties with respect to the . Primary constraints arise directly from the structure of the Lagrangian when the momenta pnp_n cannot be expressed as independent functions of the velocities q˙n\dot{q}_n, leading to relations of the form ϕj(q,p)0\phi_j(q, p) \approx 0, where \approx denotes weak equality (equality up to terms of higher order in the constraints). These constraints reflect the immediate limitations imposed by the singular nature of the Lagrangian in the to . Secondary constraints emerge from the requirement that primary constraints must remain satisfied under , i.e., their with the Hamiltonian must vanish weakly: {ϕj,H}PB0\{\phi_j, H\}_{\mathrm{PB}} \approx 0. This condition may generate additional independent relations ψk(q,p)0\psi_k(q, p) \approx 0, which in turn must satisfy their own consistency requirements, potentially yielding further constraints. The process continues until no new constraints appear, forming a chain of secondary constraints that ensure the dynamical consistency of the system. Constraints are further classified as first-class or second-class based on their Poisson brackets among themselves and with the Hamiltonian, using the standard Poisson bracket {f,g}PB=fqgpfpgq\{f, g\}_{\mathrm{PB}} = \frac{\partial f}{\partial q} \frac{\partial g}{\partial p} - \frac{\partial f}{\partial p} \frac{\partial g}{\partial q}. First-class constraints ϕa\phi_a satisfy {ϕa,H}PB0\{\phi_a, H\}_{\mathrm{PB}} \approx 0 and {ϕa,ϕb}PB0\{\phi_a, \phi_b\}_{\mathrm{PB}} \approx 0 for all constraints ϕb\phi_b (primary or secondary); this property implies that they generate gauge symmetries and infinitesimal transformations that leave the action invariant. In contrast, second-class constraints ϕα\phi_\alpha violate at least one of these conditions, such that the matrix of Poisson brackets Cαβ={ϕα,ϕβ}PBC_{\alpha\beta} = \{\phi_\alpha, \phi_\beta\}_{\mathrm{PB}} is invertible (non-singular) on the constraint surface. The invertibility of the second-class constraint matrix distinguishes them from first-class ones, where the corresponding submatrix has vanishing (zero eigenvalues). This invertibility fixes the Lagrange multipliers associated with second-class constraints uniquely through consistency conditions, eliminating gauge freedoms and reducing the physical dimension by twice the number of second-class constraints. Consequently, second-class constraints require special treatment in the Hamiltonian formalism, as the standard structure fails to preserve the constraints under evolution without modification, necessitating a projected to enforce strong equality and eliminate unphysical directions.

Challenges in Standard Hamiltonian Formalism

Systems with linear velocities in Lagrangian

In systems where the Lagrangian contains terms linear in the velocities, the standard procedure for transitioning to encounters significant difficulties. Consider a general Lagrangian of the form
L=iai(q)q˙i+12i,jbij(q)q˙iq˙jV(q),L = \sum_i a_i(q) \dot{q}_i + \frac{1}{2} \sum_{i,j} b_{ij}(q) \dot{q}_i \dot{q}_j - V(q),
where the coefficients ai(q)a_i(q) introduce the linear velocity dependence, bij(q)b_{ij}(q) form the , and V(q)V(q) is the . The presence of these linear terms can render the Hessian bijb_{ij} singular or degenerate, particularly in cases where the quadratic contributions are negligible or absent, leading to an ill-defined structure.
The core issue arises during the Legendre transform, which defines the canonical momenta as pi=Lq˙ip_i = \frac{\partial L}{\partial \dot{q}_i}. For Lagrangians linear or singular in velocities, this relation fails to provide an invertible mapping from momenta back to velocities, i.e., q˙i\dot{q}_i cannot be uniquely expressed as functions of pip_i and qiq_i. Consequently, the standard Hamiltonian H=ipiq˙iLH = \sum_i p_i \dot{q}_i - L becomes either undefined or independent of some momenta, imposing primary constraints that restrict the dynamics to a reduced . These constraints emerge directly from the noninvertibility, as the momenta satisfy relations that must hold weakly on the constraint surface. A representative example is the motion of a in a uniform , where the strong-field limit approximates the Lagrangian as linear in velocities. In the symmetric gauge, the is A=B2(y,x,0)\mathbf{A} = \frac{B}{2} (-y, x, 0), yielding
L=qcAvV(r)=qB2c(xy˙yx˙)V(x,y),L = \frac{q}{c} \mathbf{A} \cdot \mathbf{v} - V(\mathbf{r}) = \frac{q B}{2 c} (x \dot{y} - y \dot{x}) - V(x, y),
neglecting the kinetic term for the approximation. The canonical momenta are then
px=Lx˙=qB2cy,py=Ly˙=qB2cx,p_x = \frac{\partial L}{\partial \dot{x}} = -\frac{q B}{2 c} y, \quad p_y = \frac{\partial L}{\partial \dot{y}} = \frac{q B}{2 c} x,
which cannot be inverted for x˙\dot{x} and y˙\dot{y}, confirming the failure of the Legendre transform. This results in primary constraints
ϕ1=px+qB2cy0,ϕ2=pyqB2cx0,\phi_1 = p_x + \frac{q B}{2 c} y \approx 0, \quad \phi_2 = p_y - \frac{q B}{2 c} x \approx 0,
that define a constrained surface in phase space, with the Hamiltonian reducing to H=V(x,y)H = V(x, y). These constraints are second-class, as their Poisson bracket is nonzero.

Primary and secondary constraints

In constrained Hamiltonian systems, primary constraints arise during the from the Lagrangian to the Hamiltonian when the 2Lq˙iq˙j\frac{\partial^2 L}{\partial \dot{q}^i \partial \dot{q}^j} is degenerate, meaning its determinant vanishes. This singularity implies that the momenta pi=Lq˙ip_i = \frac{\partial L}{\partial \dot{q}^i} cannot be uniquely inverted to express all velocities q˙i\dot{q}^i as functions of (q,p)(q, p), resulting in a set of independent relations ϕj(q,p)0\phi_j(q, p) \approx 0 (where \approx denotes equality holding weakly on the constraint surface). These primary constraints define the initial restriction of the , capturing the inherent degeneracies in systems such as those with velocity-dependent potentials or reparametrization invariance. To ensure the dynamics preserve these primary constraints under time evolution, the total time derivative must satisfy dϕjdt0\frac{d \phi_j}{dt} \approx 0. Using the Poisson bracket formalism, this consistency condition becomes {ϕj,HT}0\{ \phi_j, H_T \} \approx 0, where HT=H+kukϕkH_T = H + \sum_k u_k \phi_k is the total Hamiltonian with undetermined multipliers uku_k. If this equation cannot be satisfied solely by choosing the multipliers (e.g., due to linear dependence among the brackets), it generates new independent relations ψk(q,p)0\psi_k(q, p) \approx 0, termed secondary constraints. These secondary constraints reflect additional restrictions imposed by the requirement that the primary constraints remain valid along the system's trajectories. The process continues iteratively: apply the consistency condition to the secondary constraints to check for tertiary constraints, and so forth, forming a chain of constraints until no new relations emerge and the set is closed under . The full collection of primary, secondary, and higher-order constraints must all hold weakly, defining the final constraint surface on which the dynamics evolve. This iterative procedure, known as the Dirac-Bergmann algorithm, ensures the Hamiltonian description is consistent without presupposing the form of the multipliers. Common sources of such singular Lagrangians include those linear in velocities, like certain gauge systems. As an illustrative example, consider a moving in a constant with a central potential V(r)V(r). The Lagrangian's linear velocity terms lead to a degenerate Hessian, yielding two primary constraints, typically ϕ1(q,p)0\phi_1(q, p) \approx 0 and ϕ2(q,p)0\phi_2(q, p) \approx 0, relating the canonical momenta to the . Imposing the consistency conditions dϕ1dt0\frac{d \phi_1}{dt} \approx 0 and dϕ2dt0\frac{d \phi_2}{dt} \approx 0 does not generate further secondary constraints when VV is central, closing the chain at the primary level.

Dirac's Generalized Hamiltonian Approach

Construction of the total Hamiltonian

In constrained Hamiltonian systems, the standard from the Lagrangian L(q,q˙)L(q, \dot{q}) to the Hamiltonian H(q,p)H(q, p) is given by H=ipiq˙iLH = \sum_i p_i \dot{q}_i - L, where the momenta are defined as pi=Lq˙ip_i = \frac{\partial L}{\partial \dot{q}_i}. However, when the Lagrangian leads to a singular with respect to the velocities, not all momenta can be inverted to express q˙i\dot{q}_i uniquely, resulting in primary constraints of the form ϕk(q,p)0\phi_k(q, p) \approx 0, which hold weakly on the constraint surface. To incorporate these constraints into the Hamiltonian formalism while preserving the correct , Dirac introduced an extended approach where the constraints are enforced through additional terms. The total Hamiltonian HTH_T, initially for primary constraints, is constructed as HT=H+kukϕkH_T = H + \sum_k u_k \phi_k, where uku_k are undetermined Lagrange multipliers representing arbitrary functions of time, and the sum runs over all primary constraints ϕk\phi_k. This form ensures that the constraints are maintained at the level of the Hamiltonian, extending the standard unconstrained Hamiltonian HH to account for the restrictions imposed by the singular Legendre transform. The multipliers uku_k are not fixed at this stage but are chosen later to satisfy the dynamics. This total form generates the time evolution in the extended phase space, enforcing ϕk0\phi_k \approx 0 weakly, meaning HTHH_T \approx H holds on the constraint surface where the primary constraints are satisfied. The extension to the phase space via these terms allows the Poisson bracket structure to produce the correct trajectories without presupposing the invertibility of the velocity-momentum relations. As secondary constraints are identified through consistency conditions, HTH_T is extended to include additional terms lvlψl\sum_l v_l \psi_l for the secondary constraints ψl0\psi_l \approx 0.

Consistency conditions and determination of multipliers

In constrained Hamiltonian systems, the consistency conditions ensure that all constraints remain satisfied under time evolution, preserving the physical configuration space. These conditions are imposed by requiring the total time derivative of each constraint to vanish weakly on the constraint surface, i.e., ϕ˙k0\dot{\phi}_k \approx 0 for every constraint ϕk0\phi_k \approx 0. Using the with the total Hamiltonian HT=H+jujϕjH_T = H + \sum_j u_j \phi_j, where HH is the canonical Hamiltonian and uju_j are undetermined multipliers, this becomes {ϕk,HT}PB0\{ \phi_k, H_T \}_{PB} \approx 0. For primary constraints ϕj0\phi_j \approx 0, which arise directly from the of the Lagrangian, the consistency condition takes the form juj{ϕj,ϕk}PB+{ϕk,H}PB0.\sum_j u_j \{ \phi_j, \phi_k \}_{PB} + \{ \phi_k, H \}_{PB} \approx 0. This equation serves a dual purpose: it either fixes the multipliers uju_j by solving the (provided the matrix {ϕj,ϕk}PB\{ \phi_j, \phi_k \}_{PB} is invertible) or identifies new secondary constraints if the right-hand side {ϕk,H}PB≉0\{ \phi_k, H \}_{PB} \not\approx 0 cannot be balanced without additional relations among the variables. Secondary constraints emerge iteratively when the consistency requirement for a primary constraint introduces a new independent condition that must hold weakly. Once all primary and secondary constraints are identified, they are classified as first-class or second-class based on their Poisson brackets. For second-class constraints, denoted collectively as ϕα0\phi_\alpha \approx 0 (where α\alpha labels the set), the consistency conditions determine the multipliers uαu_\alpha uniquely due to the invertibility of the constraint matrix Cαβ={ϕα,ϕβ}PBC_{\alpha\beta} = \{ \phi_\alpha, \phi_\beta \}_{PB}, which is nonsingular by definition for second-class constraints. The multipliers satisfy the matrix equation αuαCαl={ϕl,H}PB,\sum_\alpha u_\alpha C_{\alpha l} = - \{ \phi_l, H \}_{PB}, allowing explicit solution for uα=(C1)αl{ϕl,H}PBu_\alpha = - (C^{-1})_{\alpha l} \{ \phi_l, H \}_{PB}. This invertibility ensures no further secondary constraints arise from these, as the dynamics can be adjusted to preserve them without ambiguity. (Note: The book by M. Henneaux and C. Teitelboim provides a detailed exposition; URL for related chapter preview: https://api.pageplace.de/preview/DT0400.9780691213866_A39567624/preview-9780691213866_A39567624.pdf) The iterative application of consistency conditions terminates when all constraints satisfy ϕ˙0\dot{\phi} \approx 0 without generating new ones, marking the completion of the . At this stage, first-class constraints retain arbitrary multipliers, reflecting gauge freedoms, while second-class ones fix them completely, enabling reduction of the . This process, central to Dirac's procedure, guarantees a consistent Hamiltonian evolution on the reduced manifold.

The Dirac Bracket

Definition and formulation

In constrained Hamiltonian systems, the dynamics are formulated on a phase space coordinatized by canonical variables qiq^i and pip_i, subject to constraints ϕα(q,p)0\phi_\alpha(q, p) \approx 0. The standard {f,g}PB=i(fqigpifpigqi)\{f, g\}_{PB} = \sum_i \left( \frac{\partial f}{\partial q^i} \frac{\partial g}{\partial p_i} - \frac{\partial f}{\partial p_i} \frac{\partial g}{\partial q^i} \right) governs the evolution, but constraints necessitate a modified structure to preserve consistency on the reduced phase space. For second-class constraints, the Dirac bracket serves as this modification, ensuring that the bracket of any function with a constraint vanishes. Second-class constraints ϕ~a(q,p)0\tilde{\phi}_a(q, p) \approx 0 (with a=1,,2ma = 1, \dots, 2m) are characterized by the Poisson matrix Mab={ϕ~a,ϕ~b}PBM_{ab} = \{\tilde{\phi}_a, \tilde{\phi}_b\}_{PB}, which is antisymmetric and invertible due to the non-vanishing determinant of MM. The Dirac bracket between smooth functions ff and gg on the is then defined as {f,g}DB={f,g}PBa,b=12m{f,ϕ~a}PB(M1)ab{ϕ~b,g}PB.\{f, g\}_{DB} = \{f, g\}_{PB} - \sum_{a,b=1}^{2m} \{f, \tilde{\phi}_a\}_{PB} (M^{-1})_{ab} \{\tilde{\phi}_b, g\}_{PB}. This formulation, introduced by Dirac, replaces the Poisson bracket in the Hamilton equations to yield dynamics tangent to the constraint surface. The inversion of MM is central to the construction, as it encodes the mutual incompatibility of the second-class constraints, allowing the term to eliminate directions orthogonal to the surface defined by ϕ~a0\tilde{\phi}_a \approx 0. First-class constraints, which commute weakly with all others and the Hamiltonian, are not incorporated into the Dirac bracket; instead, they are addressed separately through gauge-fixing procedures to eliminate redundancy.

Properties and relation to

The Dirac bracket inherits several key algebraic properties from the , ensuring it serves as a consistent replacement in constrained Hamiltonian systems. It is antisymmetric, satisfying {f,g}DB={g,f}DB\{f, g\}_{\mathrm{DB}} = -\{g, f\}_{\mathrm{DB}} for smooth functions ff and gg on the . This property follows directly from the antisymmetry of the underlying used in its construction. The Dirac bracket is also bilinear in its arguments, obeying {f,αg+βh}DB=α{f,g}DB+β{f,h}DB\{f, \alpha g + \beta h\}_{\mathrm{DB}} = \alpha \{f, g\}_{\mathrm{DB}} + \beta \{f, h\}_{\mathrm{DB}} for constants α\alpha and β\beta. Additionally, it satisfies the Leibniz rule, {f,gh}DB=g{f,h}DB+h{f,g}DB\{f, gh\}_{\mathrm{DB}} = g \{f, h\}_{\mathrm{DB}} + h \{f, g\}_{\mathrm{DB}}, which ensures it acts as a derivation and preserves the product structure of functions. These bilinearity and derivation properties are derived from the corresponding features of the , adapted to the constraint surface. A crucial algebraic feature is the preservation of the Jacobi identity: {f,{g,h}DB}DB+{g,{h,f}DB}DB+{h,{f,g}DB}DB=0\{f, \{g, h\}_{\mathrm{DB}}\}_{\mathrm{DB}} + \{g, \{h, f\}_{\mathrm{DB}}\}_{\mathrm{DB}} + \{h, \{f, g\}_{\mathrm{DB}}\}_{\mathrm{DB}} = 0. This identity guarantees that the Dirac bracket defines a Lie algebra on the space of observables, enabling consistent time evolution and consistency conditions in the dynamics of constrained systems. In relation to the Poisson bracket, the Dirac bracket coincides with it on the constraint surface, where {f,g}DB{f,g}PB\{f, g\}_{\mathrm{DB}} \approx \{f, g\}_{\mathrm{PB}} for functions ff and gg that are weakly vanishing on the constraints. Moreover, it vanishes weakly when one argument is a constraint function: {f,ϕa}DB0\{f, \phi_a\}_{\mathrm{DB}} \approx 0, ensuring that constraints are preserved under the bracket. Geometrically, the Dirac bracket induces a nondegenerate symplectic two-form on the reduced phase space, obtained by restricting the original symplectic form to the constraint submanifold and quotienting by the null directions. This structure underpins the equivalence between Dirac's procedure and direct reduction methods in symplectic geometry.

Examples and Illustrations

Particle in a magnetic field

The motion of a in a uniform serves as an illustrative example of applying the Dirac bracket to a system with second-class constraints arising from a Lagrangian linear in velocities. The primary constraints are ϕ1=px+qB2cy0,ϕ2=pyqB2cx0,\phi_1 = p_x + \frac{q B}{2c} y \approx 0, \quad \phi_2 = p_y - \frac{q B}{2c} x \approx 0, where qq is the particle charge, BB is the strength directed along the z-axis, cc is the , xx and yy are the position coordinates in the plane perpendicular to the field, and pxp_x, pyp_y are the conjugate momenta. These constraints reflect the structure of the momenta in the symmetric gauge for the . The matrix of Poisson brackets among the constraints is the antisymmetric form M=qBc(0110),M = \frac{q B}{c} \begin{pmatrix} 0 & 1 \\ -1 & 0 \end{pmatrix}, which is invertible since the constraints are second-class. Its inverse is M1=cqB(0110).M^{-1} = -\frac{c}{q B} \begin{pmatrix} 0 & 1 \\ -1 & 0 \end{pmatrix}. This matrix facilitates the computation of the Dirac bracket via the general formula involving the subtraction of terms proportional to the Poisson brackets with the constraints. The resulting Dirac brackets for the fundamental phase-space variables preserve some canonical relations while introducing modifications due to the constraints: {x,y}DB=cqB\{x, y\}_{\mathrm{DB}} = -\frac{c}{q B}, {x,px}DB={y,py}DB=12\{x, p_x\}_{\mathrm{DB}} = \{y, p_y\}_{\mathrm{DB}} = \frac{1}{2}, {x,py}DB={y,px}DB=0\{x, p_y\}_{\mathrm{DB}} = \{y, p_x\}_{\mathrm{DB}} = 0, {px,py}DB=qB4c\{p_x, p_y\}_{\mathrm{DB}} = -\frac{q B}{4 c}. These brackets ensure consistency on the constraint surface and capture the symplectic reduction induced by the magnetic field, with the non-canonical commutators reflecting the effect of the magnetic field on the phase space geometry. The equations of motion, generated by the Hamiltonian using the Dirac bracket, describe circular cyclotron orbits with frequency ω=qBmc\omega = \frac{q B}{m c}, where mm is the particle mass. This frequency arises from the Lorentz force balance and leads to dynamics equivalent to a two-dimensional isotropic harmonic oscillator in the reduced phase space.

Motion on a hypersphere

A classic illustration of the Dirac bracket arises in the constrained dynamics of a particle restricted to move on the surface of an nn-dimensional hypersphere of radius RR, where the configuration space is reduced by the holonomic constraint ϕ=12(i=1nqi2R2)0\phi = \frac{1}{2} \left( \sum_{i=1}^n q_i^2 - R^2 \right) \approx 0. This primary constraint enforces that the particle's position lies on the hypersphere, with the Lagrangian for free motion given by L=12mi=1nq˙i2L = \frac{1}{2} m \sum_{i=1}^n \dot{q}_i^2, leading to canonical momenta pi=Lq˙i=mq˙ip_i = \frac{\partial L}{\partial \dot{q}_i} = m \dot{q}_i. Preserving the primary constraint under time evolution via the consistency condition ϕ˙0\dot{\phi} \approx 0 generates a secondary constraint ϕ=i=1nqipi0\phi' = \sum_{i=1}^n q_i p_i \approx 0, which ensures the momenta are tangent to the hypersphere. The pair {ϕ,ϕ}\{\phi, \phi'\} forms a second-class constraint set, as their Poisson bracket matrix Mij={ϕa,ϕb}M_{ij} = \{\phi_a, \phi_b\} (with ϕ1=ϕ\phi_1 = \phi, ϕ2=ϕ\phi_2 = \phi') is invertible, confirming irreducibility and the need for Dirac brackets to project onto the physical phase space. The Dirac bracket is then defined as {A,B}DB={A,B}i,j{A,ϕi}PB(M1)ij{ϕj,B}PB\{A, B\}_{\mathrm{DB}} = \{A, B\} - \sum_{i,j} \{A, \phi_i\}_{\mathrm{PB}} (M^{-1})_{ij} \{\phi_j, B\}_{\mathrm{PB}}, where {,}PB\{\cdot, \cdot\}_{\mathrm{PB}} denotes the . Computing this for the fundamental variables yields {qi,qj}DB=0\{q_i, q_j\}_{\mathrm{DB}} = 0 and {qi,pj}DB=δijqiqjR2\{q_i, p_j\}_{\mathrm{DB}} = \delta_{ij} - \frac{q_i q_j}{R^2} (no summation), which represents the projection of the canonical bracket onto the orthogonal to the radial direction q/R\mathbf{q}/R. The momentum-momentum bracket follows as {pi,pj}DB=1R2(qipjqjpi)\{p_i, p_j\}_{\mathrm{DB}} = -\frac{1}{R^2} (q_i p_j - q_j p_i), enforcing the constraint algebra. These Dirac brackets effectively reduce the $2ndimensional[phasespace](/page/Phasespace)tothe-dimensional [phase space](/page/Phase_space) to the (2n-2)dimensional[tangentbundle](/page/Tangentbundle)ofthehypersphere,eliminatingtheunphysicalradialdegreeoffreedomwhilepreservingthe-dimensional [tangent bundle](/page/Tangent_bundle) of the hypersphere, eliminating the unphysical radial degree of freedom while preserving the SO(n)$ spherical symmetry of the system. This structure ensures that physical observables commute with the constraints under the Dirac bracket, facilitating consistent Hamiltonian evolution on the constrained manifold.

Applications and Extensions

Canonical quantization

In constrained Hamiltonian systems, canonical quantization proceeds by promoting classical observables to quantum operators such that the commutator is related to the Dirac bracket via the rule [A^,B^]i={A,B}DB,\frac{[\hat{A}, \hat{B}]}{i \hbar} = \{A, B\}_{\mathrm{DB}}, where the subscript DB denotes the Dirac bracket and hats indicate quantum operators. This prescription, originally outlined by Dirac, ensures that the algebraic structure of the classical reduced phase space is preserved in the quantum theory. The constraints are incorporated into the quantum framework by transforming them into operator equations. Second-class constraints are imposed strongly by setting the corresponding operators to zero as identities, while first-class constraints generate gauge transformations and are imposed weakly on the physical via conditions such as ϕ^ψ=0\hat{\phi} |\psi\rangle = 0, where ϕ^\hat{\phi} is the operator form of the constraint and ψ|\psi\rangle is a physical state. This approach maintains consistency between classical and quantum descriptions without introducing additional assumptions. A key advantage of this method is that it avoids ad hoc , directly yielding the of physical observables from the Dirac bracket formalism. The Dirac bracket's satisfaction of the ensures that the resulting quantum commutators also obey it, supporting a consistent structure. As an illustration, consider the quantization of a in a uniform , where the classical Dirac brackets lead to non-canonical structure in the reduced . The quantum operators for the coordinates satisfy [x^,y^]=icqB[\hat{x}, \hat{y}] = -i \frac{\hbar c}{q B}, resulting in highly degenerate whose degeneracy is proportional to the through the system.

Connections to symplectic geometry

In the context of constrained Hamiltonian systems, the phase space is modeled as a symplectic manifold (M,ω)(M, \omega), where MM is a smooth manifold and ω\omega is a closed, nondegenerate 2-form, typically expressed locally as ω=dqidpi\omega = \sum dq_i \wedge dp_i in canonical coordinates. The Poisson bracket arises as the bivector field Π\Pi that is the musical inverse of ω\omega, encoding the symplectic structure via Hamiltonian vector fields Xf=Π(df)X_f = \Pi^\sharp (df). Second-class constraints, defined by functions ϕa=0\phi_a = 0 whose Poisson brackets form an invertible matrix Cab={ϕa,ϕb}C_{ab} = \{\phi_a, \phi_b\}, restrict the dynamics to a submanifold CMC \subset M. This constraint submanifold CC is coisotropic with respect to ω\omega, meaning that the characteristic distribution N=(TC)ωTCN = (T C)^\omega \subset T C, where (TC)ω={vTMω(v,w)=0 wTC}(T C)^\omega = \{ v \in T M \mid \omega(v, w) = 0 \ \forall w \in T C \}, is integrable and spans the kernel of the pullback form ωC\omega_C. The Dirac bracket, defined as {f,g}D={f,g}{f,ϕa}Cab{ϕb,g}\{f, g\}_D = \{f, g\} - \{f, \phi_a\} C^{ab} \{\phi_b, g\}, projects the original Poisson structure onto CC, inducing a presymplectic form ωD\omega_D on CC that is the restriction of ω\omega modulo the constraints. The reduced phase space is obtained by quotienting CC by the leaves of the integrable distribution NN, yielding a symplectic manifold (Mred,ωred)(M_{\rm red}, \omega_{\rm red}) where ωred\omega_{\rm red} is induced by ωD\omega_D, ensuring the dynamics descend consistently. Dirac structures provide a geometric of this framework, introduced by Courant and Weinstein in the late as maximal isotropic subbundles LTMTML \subset TM \oplus T^*M that are closed under the Courant bracket [[(X,α),(Y,β)]]=([X,Y],LXβiYdα)[[(X,\alpha),(Y,\beta)]] = ([X,Y], \mathcal{L}_X \beta - i_Y d\alpha). These structures unify Poisson and presymplectic geometries within the Courant algebroid TMTMTM \oplus T^*M, where the Dirac bracket corresponds to the pairing on a Lagrangian subbundle associated to the constraint distribution. Specifically, the constraint matrix CabC_{ab} enforces the projection onto the reduced Dirac structure, tying the algebraic Dirac bracket to the geometric reduction of presymplectic forms on coisotropic submanifolds.

Recent developments

In recent years, significant advancements in the Dirac bracket have addressed challenges in systems with time-dependent constraints. A key contribution came from the work of Nuno Barros e Sá, who provided a simultaneous derivation of the Dirac bracket and the for second-class constrained systems featuring evolving constraints. This formulation modifies the standard consistency conditions to account for explicit time dependence, yielding an approximate relation ϕ˙+{ϕ,H}DB0\dot{\phi} + \{\phi, H\}_{\mathrm{DB}} \approx 0, where ϕ\phi represents the constraints, HH is the Hamiltonian, and {,}DB\{\cdot, \cdot\}_{\mathrm{DB}} denotes the Dirac bracket. Published in 2025, this approach has facilitated more robust handling of dynamic gauge-fixing in parameterized mechanics and , enhancing in simulations. Extensions of the Dirac bracket to systems have also progressed since the early , particularly in rigid models. In 2008, Kiyoshi Kamimura developed a extension of the massive rigid model originally proposed by Casalbuoni and Longhi, employing the Dirac bracket to derive off-shell transformations from on-shell ones while preserving kappa symmetry. This work utilized the Dirac bracket to enforce constraint consistency in the context, enabling the determination of physical states and the mass spectrum for fermionic extensions. Further generalizations appeared in -inspired theories, such as the 2020 construction by Evgeny Skvortsov of a three-dimensional y model with massive higher spins, where the canonical Dirac bracket defined commutation relations in light-front quantization, revealing -like features including unbounded spectra and improved behavior. Applications of the Dirac bracket have expanded into classical processes with . In 2025, Riccardo Gonzo introduced a expansion of the exponential representation for the classical gravitational , integrating the Dirac bracket with the Kosower-Maybee-O'Connell (KMOC) formalism to obtain gauge-invariant expressions for radiative observables. This method circumvents explicit KMOC cut computations, directly linking observables like spin kicks, changes, waveforms, and radiative fluxes to classical matrix elements derived from amplitudes, with evaluations up to O(G2s1j1s2j2)\mathcal{O}(G^2 s_1^{j_1} s_2^{j_2}) for j1+j211j_1 + j_2 \leq 11. Such developments underscore the Dirac bracket's role in bridging quantum amplitudes to classical radiative phenomena. The 2025 publication of Sá's derivation marked a practical update for time-dependent second-class systems, directly improving numerical simulations in by incorporating into the bracket structure without ad hoc adjustments. This has proven particularly useful in and constrained QFT models, where evolving constraints arise naturally, allowing for more accurate initial value formulations and probability distributions.

References

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