Math 2.0

Calculus of variations and optimal control; optimization Definition

Hamilton–Jacobi theory of the calculus of variations

Builds on Calculus of variationsEuler–Lagrange equationHamilton–Jacobi equationField of extremals

Definition

Let I⊆ℝI \subseteq \R be an open interval and let L ⁣:I×ℝn×ℝn→ℝL \colon I \times \R^n \times \R^n \to \R, (t,q,v)↦L(t,q,v)(t, q, v) \mapsto L(t, q, v), be of class C2C^2. Assume that for each (t,q)(t, q) the map v↦∂L/∂v(t,q,v)v \mapsto \partial L / \partial v (t, q, v) is a diffeomorphism of ℝn\R^n and ∂2L/∂v2\partial^2 L / \partial v^2 is positive definite. The variational problem is to find extremals of ∫L(t,q,q′) dt\int L(t, q, q') \, dt, the solutions of the Euler–Lagrange equation. Its Hamiltonian is H(t,q,p)=p⋅v−L(t,q,v)H(t, q, p) = p \cdot v - L(t, q, v), where vv is the unique vector with p=∂L/∂v(t,q,v)p = \partial L / \partial v(t, q, v). The Hamilton–Jacobi equation of the problem is the partial differential equation ∂S∂t+H(t,q,∂S∂q)=0\frac{\partial S}{\partial t} + H\Big(t, q, \frac{\partial S}{\partial q}\Big) = 0 for a function SS of class C2C^2 on an open set G⊆I×ℝnG \subseteq I \times \R^n. Hamilton–Jacobi theory is the study of the variational problem through the solutions SS of this equation and the curves qq in GG with q′(t)=∂H∂p(t,q(t),∂S∂q(t,q(t))).q'(t) = \frac{\partial H}{\partial p}\Big(t, q(t), \frac{\partial S}{\partial q}(t, q(t))\Big).

Remarks

The basic fact is that each such curve is an extremal, with momentum p(t)=∂S/∂q(t,q(t))p(t) = \partial S / \partial q(t, q(t)) solving Hamilton's canonical equations. These curves fill GG and form a field of extremals, and SS is the action along them. Example: L=12∣v∣2L = \frac12 \abs{v}^2, so H=12∣p∣2H = \frac12 \abs{p}^2, on G={(t,q):t>t0}G = \set{(t, q) : t > t_0}. The function S(t,q)=∣q−a∣2/(2(t−t0))S(t, q) = \abs{q - a}^2 / (2(t - t_0)) solves the equation, since St=−∣q−a∣2/(2(t−t0)2)S_t = -\abs{q - a}^2 / (2 (t - t_0)^2) and 12∣∇qS∣2=∣q−a∣2/(2(t−t0)2)\frac12 \abs{\nabla_q S}^2 = \abs{q - a}^2 / (2 (t - t_0)^2). The curves solve q′=(q−a)/(t−t0)q' = (q - a)/(t - t_0), so they are the straight lines through aa at time t0t_0, which are the extremals of LL. Non-example: for L=12∣v∣2L = \frac12 \abs{v}^2 the function S(t,q)=∣q∣2S(t, q) = \abs{q}^2 does not solve the equation, since St+12∣∇S∣2=2∣q∣2≠0S_t + \frac12 \abs{\nabla S}^2 = 2 \abs{q}^2 \ne 0 for q≠0q \ne 0. Jacobi's theorem completes the theory: from a family S(t,q,a)S(t, q, a) of solutions with det⁡(∂2S/∂q ∂a)≠0\det(\partial^2 S / \partial q \, \partial a) \ne 0, the equations ∂S/∂a=b\partial S / \partial a = b define all solutions of Hamilton's equations near a point.

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Further reading

  1. Web https://en.wikipedia.org/wiki/Hamilton–Jacobi_equation
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TagEMXK9T0X1Q
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MSC49L99, 70H20, 49K05
DefinesHamilton–Jacobi theory of the calculus of variations
UsesCalculus of variations, Euler–Lagrange equation, Hamilton–Jacobi equation, Field of extremals

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