Math 2.0

Partial differential equations Definition

Method of characteristics

Builds on Quasilinear PDEOrdinary differential equationInitial value problemPartial derivative

Definition

Let U⊆ℝnU \subseteq \R^n be open, and let a=(a1,…,an) ⁣:U×ℝ→ℝna = (a_1, \dots, a_n) \colon U \times \R \to \R^n and c ⁣:U×ℝ→ℝc \colon U \times \R \to \R be C1C^1 functions. Consider the first-order quasilinear equation ∑i=1nai(x,u) ∂iu=c(x,u)\sum_{i=1}^n a_i(x, u)\, \partial_i u = c(x, u) for an unknown C1C^1 function uu on UU, where ∂iu\partial_i u is the partial derivative in xix_i. Its characteristic equations are the ordinary differential equations dxds=a(x,z),dzds=c(x,z)\frac{dx}{ds} = a(x, z), \qquad \frac{dz}{ds} = c(x, z) for a curve s↦(x(s),z(s))s \mapsto (x(s), z(s)) in U×ℝU \times \R; the curves s↦x(s)s \mapsto x(s) are the characteristics. The method of characteristics solves the equation with data u=gu = g on a hypersurface Γ⊆U\Gamma \subseteq U as follows.

  1. For each y∈Γy \in \Gamma, solve the characteristic equations with initial values x(0)=yx(0) = y and z(0)=g(y)z(0) = g(y).
  2. Invert the map (y,s)↦x(y,s)(y, s) \mapsto x(y, s) near Γ\Gamma, which is possible when Γ\Gamma is non-characteristic, that is, a(y,g(y))a(y, g(y)) is not tangent to Γ\Gamma.
  3. Set u(x(y,s))=z(y,s)u(x(y, s)) = z(y, s).

Remarks

The key fact is that if uu is a C1C^1 solution and x(s)x(s) solves x′=a(x,u(x))x' = a(x, u(x)), then z(s)=u(x(s))z(s) = u(x(s)) satisfies z′=∑iai ∂iu=c(x,z)z' = \sum_i a_i\, \partial_i u = c(x, z). So the graph of a solution is a union of solutions of the characteristic system. For a fully nonlinear equation F(Du,u,x)=0F(Du, u, x) = 0 the method uses the larger system x˙=DpF\dot x = D_p F, z˙=DpF⋅p\dot z = D_p F \cdot p, p˙=−DxF−DzF p\dot p = -D_x F - D_z F\, p, where pp stands for DuDu.

Example: for ut+u ux=0u_t + u\, u_x = 0 in the variables (x,t)(x, t) with u(x,0)=g(x)u(x, 0) = g(x), the characteristic equations are t˙=1\dot t = 1, x˙=z\dot x = z, z˙=0\dot z = 0. So zz is constant and the characteristics are the lines x=y+g(y)tx = y + g(y) t, which gives the implicit solution u=g(x−ut)u = g(x - ut). Check: differentiating u=g(x−ut)u = g(x - ut) gives ut=−g′ (u+tut)u_t = -g'\,(u + t u_t) and ux=g′ (1−tux)u_x = g'\,(1 - t u_x), so ut=−ug′/(1+tg′)u_t = -u g'/(1 + t g') and ux=g′/(1+tg′)u_x = g'/(1 + t g'), and ut+uux=0u_t + u u_x = 0.

Non-example: data given on a characteristic curve. Take ∂1u=0\partial_1 u = 0 on ℝ2\R^2 with data u(x1,0)=g(x1)u(x_1, 0) = g(x_1) on Γ={x2=0}\Gamma = \set{x_2 = 0}. Here a=(1,0)a = (1, 0) is tangent to Γ\Gamma, so step 2 fails. Indeed no solution exists unless gg is constant, and if gg is constant there are infinitely many, such as u=g+h(x2)u = g + h(x_2) with h(0)=0h(0) = 0.

Reading path

To understand this page from the ground up, read these 8 pages in order. The foundations come first.

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  1. Euclidean space object
  2. Function concept
  3. Initial value problem concept
  4. Ordinary differential equation concept
  5. Quasilinear PDE concept
  6. Function of several variables concept
  7. Partial derivative concept
  8. Method of characteristics definition

Further reading

  1. Web https://en.wikipedia.org/wiki/Method_of_characteristics
About this page
TagVDWKE1KK4H
URIm2://VDWKE1KK4H
Kinddefinition
WritingW0 stub
MSC35F20, 35A30, 35L02
DefinesMethod of characteristics
UsesQuasilinear PDE, Ordinary differential equation, Initial value problem, Partial derivative
Changed2 November 2026

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