A characteristic speed is an eigenvalue of the flux Jacobian for a system of conservation laws. In a classical solution of , let be a left eigenvector. Along , the chain rule gives
For a constant matrix, therefore obeys . For example, gives moving at and moving at .
For a nonlinear system, need not be the differential of a scalar function, even after multiplication by a nonzero scalar factor. A scalar Riemann invariant requires such an additional integrability property. Consequently the projected identity alone does not supply a globally defined transported scalar for every wave family.
A kinematic wave is a disturbance whose propagation speed is determined by the local relation between a conserved density and its flux. In a scalar conservation law , smooth values travel at speed .
Let , increasing until and decreasing afterwards. For dry initial data and zero upstream depth, a characteristic emitted at time has and position , for as long as its depth stays nonnegative. The height follows by integrating the source along a characteristic, and the position follows from the derivative of the Manning flux.
When and , define the earlier emission time by . The front where this water is just exhausted has
It moves downstream because . Behind it depth is zero; ahead, unexhausted characteristic labels determine the wet profile. This construction presumes removal limited by water availability: continuing a negative source unchanged at zero depth would violate nonnegativity. If reaches zero, the remaining initially generated water has also vanished.
With constant lateral supply , a discharge law of the displayed form gives equilibrium area and characteristic speed . Under a Chezy law, a wetted-perimeter relation gives . Small area perturbations are transported downstream with amplitude inversely proportional to this characteristic speed; finite compressive disturbances can still form shocks because the flux is convex.

Ancestors (8)

  1. Flux Jacobian
  2. System of conservation laws
  3. Transport equation
  4. Partial differential equation
  5. Analysis
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