Math 2.0

Partial differential equations Definition

Hamilton–Jacobi equation

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Definition

Let n≥1n \ge 1 and let H ⁣:ℝn×ℝn→ℝH \colon \R^n \times \R^n \to \R be a continuous function, called the Hamiltonian. Let T∈(0,∞]T \in (0, \infty]. The Hamilton–Jacobi equation with Hamiltonian HH is the partial differential equation ∂tu+H(∇u,x)=0\partial_t u + H(\nabla u, x) = 0 for u ⁣:ℝn×(0,T)→ℝu \colon \R^n \times (0, T) \to \R. Here ∇u\nabla u is the gradient of uu in xx. The stationary Hamilton–Jacobi equation is H(∇u,x)=0H(\nabla u, x) = 0 for uu defined on an open subset of ℝn\R^n.

Remarks

Often HH does not depend on xx, and the equation reads ut+H(∇u)=0u_t + H(\nabla u) = 0, usually with an initial condition u(x,0)=g(x)u(x, 0) = g(x). In mechanics the Hamiltonian also depends on time, and the equation is ∂tS+H(∇S,x,t)=0\partial_t S + H(\nabla S, x, t) = 0 for Hamilton's principal function SS. The Hamilton–Jacobi–Bellman equation of optimal control is a Hamilton–Jacobi equation whose Hamiltonian is an infimum or a supremum over controls.

Example: H(p,x)=12∣p∣2H(p, x) = \tfrac12 \abs{p}^2 and u(x,t)=∣x∣22(t+1)u(x, t) = \dfrac{\abs{x}^2}{2(t + 1)} for t>0t > 0. Check: ∂tu=−∣x∣22(t+1)2\partial_t u = -\dfrac{\abs{x}^2}{2(t + 1)^2} and ∇u=xt+1\nabla u = \dfrac{x}{t + 1}, so 12∣∇u∣2=∣x∣22(t+1)2\tfrac12 \abs{\nabla u}^2 = \dfrac{\abs{x}^2}{2(t + 1)^2} and the sum is 00.

Non-example: the heat equation ut−Δu=0u_t - \Delta u = 0 is not a Hamilton–Jacobi equation, since it involves second derivatives of uu. Adding a term −εΔu-\varepsilon \Delta u to a Hamilton–Jacobi equation gives a viscous approximation, whose limits as ε→0\varepsilon \to 0 lead to viscosity solutions.

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  1. Euclidean space object
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Further reading

  1. Web https://en.wikipedia.org/wiki/Hamilton–Jacobi_equation
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MSC35F21, 70H20, 49L12
DefinesHamilton–Jacobi equation
UsesPartial differential equation, Gradient

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