Added Hamiltonian mechanics.
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@ -133,7 +133,9 @@ nav:
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- 'Applications':
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- 'Applications':
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- 'Celestial mechanics': physics/mechanics/lagrangian-mechanics/applications/celestial-mechanics.md
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- 'Celestial mechanics': physics/mechanics/lagrangian-mechanics/applications/celestial-mechanics.md
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- 'Oscillations': physics/mechanics/lagrangian-mechanics/applications/oscillations.md
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- 'Oscillations': physics/mechanics/lagrangian-mechanics/applications/oscillations.md
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# - 'Hamiltonian mechanics':
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- 'Hamiltonian mechanics':
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- 'Hamiltonian formalism': physics/mechanics/hamiltonian-mechanics/hamiltonian-formalism.md
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- "Hamilton's equations": physics/mechanics/hamiltonian-mechanics/hamiltons-equations.md
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# - 'Relativistic mechanics':
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# - 'Relativistic mechanics':
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# - 'Quantum mechanics':
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# - 'Quantum mechanics':
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- 'Electromagnetism':
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- 'Electromagnetism':
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# Hamiltonian formalism
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The Hamiltonian formalism of mechanics is based on the definitions posed by [Lagrangian mechanics](/en/physics/mechanics/lagrangian-mechanics/lagrangian-formalism) and the axioms, postulates and principles posed in the [Newtonian formalism](/en/physics/mechanics/newtonian-mechanics/newtonian-formalism/).
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Where the Lagrangian formalism used the [principle of virtual work](/en/physics/mechanics/lagrangian-mechanics/lagrange-equations/#principle-of-virtual-work) to derive the Lagrangian equations of motion, the Hamiltonian formalism will derive the Lagrangian equations with the stationary action principle. A derivative of Fermat's principle of least time.
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In Hamilton's formulation the principle is referred to as Hamilton's principle.
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## Hamilton's principle
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> *Principle 1*: of all the kinematically possible motions that take a mechanical system from one given configuration to another within a time interval $T \subset \mathbb{R}$, the actual motion is the stationary point of the time integral of the Lagrangian $\mathcal{L}$ of the system. Let $S$ be the functional of the trajectories of the system, then
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>
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> $$
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> S = \int_T \mathcal{L} dt,
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> $$
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>
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> has stationary points.
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The functional $S$ is often referred to as the action of the system. With this principle the equations of Lagrange can be derived.
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> *Theorem 1*: let $\mathcal{L}: (\mathbf{q}, \mathbf{q'}) \mapsto \mathcal{L}(\mathbf{q}, \mathbf{q'})$ be the Lagrangian, the equations of Lagrange are given by
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>
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> $$
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> \partial_{q_j} \mathcal{L}(\mathbf{q}, \mathbf{q'}) - d_t \Big(\partial_{q_j'} \mathcal{L}(\mathbf{q}, \mathbf{q'}) \Big) = 0,
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> $$
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>
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> for all $t \in \mathbb{R}$.
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??? note "*Proof*:"
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Let the redefined generalized coordinates $\mathbf{q}: (t,a) \mapsto \mathbf{q}(t,a)$ be given by
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$$
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\mathbf{q}(t,a) = \mathbf{\hat q}(t) + a \varepsilon(t),
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$$
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with $\mathbf{\hat q}: t \mapsto \mathbf{\hat q}(t)$ the generalized coordinates of the system and $\varepsilon: t \mapsto \varepsilon(t)$ a smooth differentiable function.
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Let $S: a \mapsto S(a)$ be the action of the system and let $\mathcal{L}: (\mathbf{q}, \mathbf{q'}) \mapsto \mathcal{L}(\mathbf{q}, \mathbf{q'})$ be the Lagrangian of the system, according to Hamilton's principle
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$$
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S(a) = \int_T \mathcal{L}(\mathbf{q}, \mathbf{q'})dt,
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$$
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for all $a \in \mathbb{R}$. To determine the stationary points we must have that $S'(0) = 0$. We have that $S'$ is given by
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$$
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\begin{align*}
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S'(a) &= \int_T \partial_a \mathcal{L}(\mathbf{q}, \mathbf{q'})dt, \\
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&= \int_T \sum_{j=1}^f \bigg(\partial_{q_j} \mathcal{L} \partial_a q_j + \partial_{q_j'} \mathcal{L} \partial_a q_j'\bigg)dt, \\
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&= \int_T \sum_{j=1}^f \bigg(\partial_{q_j} \mathcal{L} \varepsilon_j(t) + \partial_{q_j'} \mathcal{L} \partial_a \partial_t q_j\bigg)dt. \\
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\end{align*}
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$$
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Partial integration may be used for the second part:
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$$
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\begin{align*}
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\int_T \partial_{q_j'} \mathcal{L} \partial_a \partial_t q_j dt &= \Big[\partial_{q_j'} \mathcal{L} \partial_a q_j \Big]_T - \int_T \partial_a q_j d_t (\partial_{q_j'} \mathcal{L})dt, \\
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&= \Big[\partial_{q_j'} \mathcal{L} \varepsilon_j(t) \Big]_T - \int_T \partial_a q_j d_t (\partial_{q_j'} \mathcal{L})dt.
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\end{align*}
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$$
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Choose $\varepsilon_j$ such that
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$$
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\Big[\partial_{q_j'} \mathcal{L} \varepsilon_j(t) \Big]_T = 0.
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$$
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Obtains
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$$
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\int_T \partial_{q_j'} \mathcal{L} \partial_a \partial_t q_j dt = - \int_T \partial_a q_j d_t (\partial_{q_j'} \mathcal{L})dt.
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$$
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The general expression of $S'$ may now be given by
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$$
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\begin{align*}
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S'(a) &= \int_T \sum_{j=1}^f \bigg(\partial_{q_j} \mathcal{L} \varepsilon_j(t) - \partial_a q_j d_t (\partial_{q_j'} \mathcal{L})\bigg)dt, \\
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&= \int_T \sum_{j=1}^f \bigg(\partial_{q_j} \mathcal{L} \varepsilon_j(t) - \varepsilon_j(t) d_t (\partial_{q_j'} \mathcal{L})\bigg)dt, \\
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&= \sum_{j=1}^f \int_T \varepsilon_j(t) \Big(\partial_{q_j} \mathcal{L} - d_t (\partial_{q_j'} \mathcal{L})\Big)dt.
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\end{align*}
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$$
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Then
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$$
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S'(0) = \sum_{j=1}^f \int_T \varepsilon_j(t) \Big(\partial_{q_j} \mathcal{L} - d_t (\partial_{q_j'} \mathcal{L})\Big)dt = 0,
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$$
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since $\varepsilon_j$ can be chosen arbitrary this implies that
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$$
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\partial_{q_j} \mathcal{L} - d_t (\partial_{q_j'} \mathcal{L}) = 0.
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$$
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# Hamilton's equations
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@ -1,6 +1,6 @@
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# Lagrangian formalism
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# Lagrangian formalism
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The Lagrangian formalism of mechanics is based on the axioms, postulates and principles posed in the [Newtonian formalism](/en/physics/newtonian-mechanics/newtonian-formalism.md).
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The Lagrangian formalism of mechanics is based on the axioms, postulates and principles posed in the [Newtonian formalism](/en/physics/mechanics/newtonian-mechanics/newtonian-formalism/).
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## Configuration of a system
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## Configuration of a system
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@ -65,7 +65,7 @@ for all $t \in \mathbb{R}$ (inexplicitly).
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> with
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> with
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>
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>
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> $$
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> $$
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> a_{rs}(\mathbf{q}) = \sum_{i=1}^n \frac{1}{2} m_i \langle \partial_r \mathbf{x}_i(\mathbf{q}), \partial_s \mathbf{x}_i(\mathbf{q}),
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> a_{rs}(\mathbf{q}) = \sum_{i=1}^n \frac{1}{2} m_i \Big\langle \partial_r \mathbf{x}_i(\mathbf{q}), \partial_s \mathbf{x}_i(\mathbf{q}) \Big\rangle,
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> $$
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> $$
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>
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>
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> for all $t \in \mathbb{R}$.
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> for all $t \in \mathbb{R}$.
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@ -73,4 +73,3 @@ for all $t \in \mathbb{R}$ (inexplicitly).
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??? note "*Proof*:"
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??? note "*Proof*:"
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Will be added later.
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Will be added later.
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