Difference between revisions of "Max-decreasing trajectory"

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In other words, <math>u</math> is a trajectory (or path) in the space of all functions from <math>M</math> to <math>\R</math>.
 
In other words, <math>u</math> is a trajectory (or path) in the space of all functions from <math>M</math> to <math>\R</math>.
  
Then, <math>u</math> is said to be '''max-reducing''' if the function:
+
Then, <math>u</math> is said to be '''max-decreasing''' if the function:
  
 
<math>t \mapsto \sup_{x \in M} u(t,x)</math>
 
<math>t \mapsto \sup_{x \in M} u(t,x)</math>

Revision as of 04:38, 8 April 2007

Definition

Let M be a manifold and u = u(t,x) be a function \R \times M \to \R, where:

  • t denotes the time parameter, and varies in \R
  • x denotes the spatial parameter, and varies in M

In other words, u is a trajectory (or path) in the space of all functions from M to \R.

Then, u is said to be max-decreasing if the function:

t \mapsto \sup_{x \in M} u(t,x)

is a monotone decreasing function.

The corresponding notion is of a min-increasing trajectory -- viz a trajectory where the minimum (or infimum) keeps increasing.