- #1
osnarf
- 209
- 0
The relevant equations:
(1) [tex]\dot{x}[/tex] = v(x), x [tex]\in[/tex] U
(2) [tex]\varphi[/tex] = x0, t0 [tex]\in[/tex] R x0[tex]\in[/tex] U
Let x0 be a stationary point of a vector field v, so that v(x0) = 0. Then, as we now show, the solution of equation (1) satistying the initial condition (2) is unique, ie., if [tex]\varphi[/tex] is any solution of (1) such that [tex]\varphi[/tex](t0) = x0, then [tex]\varphi[/tex](t)[tex]\equiv[/tex] x0. There is no loss of generality in assuming that x0 = 0. Since the field v is differentiable and v(0) = 0, we have:
|v(x)| < k|x| for sufficiently small |x| =/= 0, where k > 0 is a positive constant.
Huh? i was good up until the inequality.
If somebody has the book, it is section 2.8 of the first chapter.
(1) [tex]\dot{x}[/tex] = v(x), x [tex]\in[/tex] U
(2) [tex]\varphi[/tex] = x0, t0 [tex]\in[/tex] R x0[tex]\in[/tex] U
Let x0 be a stationary point of a vector field v, so that v(x0) = 0. Then, as we now show, the solution of equation (1) satistying the initial condition (2) is unique, ie., if [tex]\varphi[/tex] is any solution of (1) such that [tex]\varphi[/tex](t0) = x0, then [tex]\varphi[/tex](t)[tex]\equiv[/tex] x0. There is no loss of generality in assuming that x0 = 0. Since the field v is differentiable and v(0) = 0, we have:
|v(x)| < k|x| for sufficiently small |x| =/= 0, where k > 0 is a positive constant.
Huh? i was good up until the inequality.
If somebody has the book, it is section 2.8 of the first chapter.