14.1 Hamiltonian Mechanics and Canonical Transformations

3 min readjuly 22, 2024

mechanics offers a powerful approach to classical dynamics. It uses the Hamiltonian function to describe a system's total energy and introduces equations of motion that simplify problem-solving in many cases.

This formulation bridges classical and quantum mechanics. It introduces concepts like canonical transformations and the Hamilton-Jacobi equation, which are crucial for understanding more advanced topics in physics and mathematics.

Hamiltonian Mechanics

Hamiltonian function and equations

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  • Hamiltonian function H(q,p,t)H(q, p, t) represents the total energy of a system (kinetic + potential) and is defined as the Legendre transform of the L(q,q˙,t)L(q, \dot{q}, t)
    • Legendre transform: H(q,p,t)=ipiq˙iL(q,q˙,t)H(q, p, t) = \sum_{i} p_i \dot{q}_i - L(q, \dot{q}, t)
    • Generalized coordinates (q1,q2,...,qn)(q_1, q_2, ..., q_n) describe the system's configuration
    • Generalized momenta (p1,p2,...,pn)(p_1, p_2, ..., p_n) are defined as pi=Lq˙ip_i = \frac{\partial L}{\partial \dot{q}_i}
  • of motion are equivalent to Lagrange's equations but expressed in terms of generalized coordinates qq and momenta pp
    • q˙i=Hpi\dot{q}_i = \frac{\partial H}{\partial p_i} relates the time derivative of the coordinate to the partial derivative of the Hamiltonian with respect to the corresponding momentum
    • p˙i=Hqi\dot{p}_i = -\frac{\partial H}{\partial q_i} relates the time derivative of the momentum to the negative partial derivative of the Hamiltonian with respect to the corresponding coordinate
  • Advantages of the Hamiltonian formulation include the symmetry between coordinates and momenta, easier identification of conserved quantities (energy), and its suitability for quantum mechanics

Canonical transformations in dynamics

  • Canonical transformations are changes of variables from (q,p)(q, p) to (Q,P)(Q, P) that preserve the form of Hamilton's equations, allowing for the simplification of dynamical systems
    • Generated by a FF, which can be a function of qq and QQ, qq and PP, pp and QQ, or pp and PP, along with time tt
    • Types of canonical transformations include point transformations (Qi=Qi(q,t)Q_i = Q_i(q, t), Pi=Pi(q,p,t)P_i = P_i(q, p, t)) and extended point transformations (Qi=Qi(q,p,t)Q_i = Q_i(q, p, t), Pi=Pi(q,p,t)P_i = P_i(q, p, t))
  • Generating functions and their relationships are described by the equation pidqiHdt=PidQiKdt+dFp_i dq_i - H dt = P_i dQ_i - K dt + dF, where K(Q,P,t)K(Q, P, t) is the transformed Hamiltonian
  • Canonical transformations can simplify dynamical systems by eliminating time dependence in the Hamiltonian, reducing the number of degrees of freedom, or identifying cyclic coordinates (ignorable coordinates) that do not appear in the transformed Hamiltonian

Hamilton-Jacobi Theory

Hamilton-Jacobi equation applications

  • The Hamilton-Jacobi equation, St+H(q,Sq,t)=0\frac{\partial S}{\partial t} + H(q, \frac{\partial S}{\partial q}, t) = 0, is a partial differential equation for the Hamilton's principal function () S(q,t)S(q, t)
    • To solve the equation, separate variables: S(q,t)=W(q)EtS(q, t) = W(q) - Et, where EE is a constant (energy)
    • Solve the resulting time-independent Hamilton-Jacobi equation for W(q)W(q), which satisfies Wqi=pi\frac{\partial W}{\partial q_i} = p_i
  • Applications of the Hamilton-Jacobi equation include finding equations of motion, determining trajectories in configuration space, identifying conserved quantities, and solving problems with separable Hamiltonians (additively separable into kinetic and potential energy terms)

Hamiltonian vs quantum mechanics

  • The states that in the limit of large quantum numbers, quantum mechanics reduces to classical mechanics, and expectation values of quantum observables behave like classical variables
  • Canonical is the process of replacing classical variables (q,p)(q, p) with quantum operators (q^,p^)(\hat{q}, \hat{p}), which satisfy the commutation relations [q^i,p^j]=iδij[\hat{q}_i, \hat{p}_j] = i\hbar \delta_{ij}, where \hbar is the reduced Planck's constant and δij\delta_{ij} is the Kronecker delta
  • The Schrödinger equation, iΨt=H^Ψi\hbar \frac{\partial \Psi}{\partial t} = \hat{H} \Psi, is the quantum analog of the Hamilton-Jacobi equation, describing the time evolution of the wave function Ψ\Psi
  • Ehrenfest's theorem relates the time evolution of expectation values of quantum observables to classical equations of motion:
    1. ddtq^i=H^p^i\frac{d}{dt} \langle \hat{q}_i \rangle = \langle \frac{\partial \hat{H}}{\partial \hat{p}_i} \rangle for the expectation value of position
    2. ddtp^i=H^q^i\frac{d}{dt} \langle \hat{p}_i \rangle = -\langle \frac{\partial \hat{H}}{\partial \hat{q}_i} \rangle for the expectation value of momentum

Key Terms to Review (18)

Action: Action is a fundamental concept in physics, defined as the integral of the Lagrangian over time. It encapsulates the dynamics of a system, allowing for the derivation of equations of motion through the principle of least action. This principle states that the actual path taken by a system is the one that minimizes the action, linking together various physical laws and principles in a coherent framework.
Canonical transformation: A canonical transformation is a change of coordinates in phase space that preserves the form of Hamilton's equations, allowing the equations of motion to be expressed in a new set of variables. This transformation is essential in Hamiltonian mechanics as it facilitates the analysis of physical systems and the derivation of conserved quantities. By maintaining the structure of the Hamiltonian framework, these transformations play a crucial role in simplifying complex dynamical problems.
Carl Friedrich Gauss: Carl Friedrich Gauss was a prominent German mathematician and physicist, known as one of the most influential figures in mathematics. His contributions span various fields, including number theory, statistics, and astronomy, establishing foundational principles that apply in multiple areas such as vector calculus and potential theory.
Conservation of Energy: Conservation of energy is a fundamental principle stating that energy cannot be created or destroyed, only transformed from one form to another. This principle implies that the total energy of an isolated system remains constant over time, providing a powerful tool for analyzing physical systems. In Hamiltonian mechanics, this principle is crucial for understanding how energy is conserved through various transformations and dynamic behaviors.
Correspondence principle: The correspondence principle is a concept in physics stating that the behavior of a quantum system must align with classical mechanics when the system is observed under conditions of large quantum numbers or macroscopic scales. This principle emphasizes the connection between quantum mechanics and classical mechanics, ensuring that as we transition from the quantum to the classical world, the predictions of quantum theory converge with those of classical physics.
Generating Function: A generating function is a formal power series used to encode sequences of numbers, allowing for manipulations that facilitate the analysis of combinatorial structures and relationships. In Hamiltonian mechanics, generating functions serve as a bridge between different sets of variables, making them essential for canonical transformations. They provide a way to transform one Hamiltonian system into another while preserving the structure of the equations governing the dynamics.
Hamilton's Equations: Hamilton's equations are a set of first-order differential equations that describe the evolution of a dynamical system in Hamiltonian mechanics. They provide a framework to analyze systems in terms of generalized coordinates and momenta, highlighting the relationship between energy and motion. These equations serve as a foundation for classical mechanics, offering deep insights into the conservation laws and symmetries of physical systems.
Hamiltonian: The Hamiltonian is a function that represents the total energy of a system in classical and quantum mechanics, typically expressed in terms of generalized coordinates and momenta. It serves as the cornerstone of Hamiltonian mechanics, describing how a system evolves over time, and plays a critical role in variational methods for finding quantum states. By providing a framework that relates physical systems to their energy properties, the Hamiltonian allows for a deeper understanding of both classical dynamics and quantum behavior.
Lagrangian: The Lagrangian is a mathematical function that summarizes the dynamics of a physical system, defined as the difference between the kinetic and potential energy. This concept is fundamental in formulating the equations of motion through the principle of least action, which states that the actual path taken by a system is the one that minimizes the action integral. The Lagrangian plays a critical role in connecting classical mechanics, quantum mechanics, and advanced theoretical frameworks.
Liouville's Theorem: Liouville's Theorem states that the phase space volume of a Hamiltonian system is conserved over time, meaning that the flow of trajectories in phase space preserves the volume. This theorem is fundamental in Hamiltonian mechanics, as it highlights the idea that the behavior of a dynamical system can be analyzed through its phase space, where both position and momentum are considered. Essentially, it asserts that if you have a region in phase space, its volume will remain constant as the system evolves.
Noether's Theorem: Noether's Theorem states that every differentiable symmetry of the action of a physical system corresponds to a conserved quantity. This powerful result connects the concept of symmetry in physics to conservation laws, showing that the symmetries present in a system dictate the physical quantities that remain constant throughout its evolution.
Phase space: Phase space is a mathematical concept used in physics that represents all possible states of a system, defined by its position and momentum coordinates. In Hamiltonian mechanics, phase space is crucial as it allows us to visualize the state of a dynamical system as a point in a multi-dimensional space where each dimension corresponds to one degree of freedom. This framework is essential for analyzing the evolution of systems and for performing canonical transformations, which are changes of variables that simplify the equations of motion.
Poisson Bracket: The Poisson bracket is a mathematical operator used in Hamiltonian mechanics to describe the relationship between two functions on phase space. It provides a way to express the time evolution of a system's observables and is instrumental in formulating equations of motion. The Poisson bracket is defined as {f, g} = ∑(∂f/∂qi ∂g/∂pi - ∂f/∂pi ∂g/∂qi), where f and g are functions of the generalized coordinates q and momenta p.
Quantization: Quantization is the process of constraining an item from a large set to a smaller set, often referring to the discrete nature of certain physical properties, such as energy levels in quantum mechanics. This concept indicates that certain quantities can only take on specific values, fundamentally altering how we understand physical systems. The implications of quantization can be seen across various domains, particularly when transitioning from classical physics to quantum physics.
Symmetry transformation: A symmetry transformation refers to a change in a physical system that leaves certain properties invariant, meaning the system remains unchanged under that transformation. These transformations play a crucial role in understanding conservation laws and fundamental principles in physics, linking different representations of a system and providing insights into its underlying structure. Symmetry transformations can be discrete or continuous, impacting both classical and quantum systems by revealing relationships between different states and simplifying complex problems.
Time Evolution Operator: The time evolution operator is a mathematical construct used in quantum mechanics to describe how the state of a quantum system changes over time. It relates the state of a system at an initial time to its state at a later time, encapsulating the dynamics governed by the Hamiltonian of the system. This operator is central in understanding both the time-dependent Schrödinger equation and the principles of Hamiltonian mechanics, providing a framework for analyzing canonical transformations.
Variational Principle: The variational principle is a fundamental concept in physics and mathematics that provides a method for finding the stationary points of a functional, typically to minimize or maximize a particular quantity. This principle asserts that the true physical trajectory of a system can be derived from a specific integral known as the action, leading to equations of motion. By applying this principle, one can derive significant results in different areas, including energy states in quantum mechanics and the dynamics of systems in classical mechanics.
William Rowan Hamilton: William Rowan Hamilton was an Irish mathematician and physicist best known for his groundbreaking contributions to classical mechanics, particularly through the development of Hamiltonian mechanics and Hamilton's principle. His work laid the foundation for modern physics by providing a framework that describes systems in terms of energy rather than forces, connecting his ideas to Lagrangian mechanics and facilitating the transition to more advanced formulations of mechanics.
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