Undergrad Condition on vector field to be a diffeomorphism.

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SUMMARY

The discussion centers on establishing conditions under which a vector field V(x) on a manifold, specifically R², ensures that the mapping x^µ → x^µ + V^µ(x) is a diffeomorphism. Key insights include the necessity for the supremum of the norm of the partial derivative of V, denoted as sup_{x∈ℝ²} ||∂V/∂x||, to be sufficiently small. Additionally, while monotonicity is mentioned as a useful condition, it is noted that it primarily applies in one dimension, although a multidimensional version exists. The book "Topics in Nonlinear Functional Analysis" by L. Nirenberg is recommended for further exploration of these concepts.

PREREQUISITES
  • Understanding of vector fields and their properties in differential geometry.
  • Familiarity with the concept of diffeomorphisms in manifold theory.
  • Knowledge of partial derivatives and their implications in multidimensional analysis.
  • Basic comprehension of monotonicity and its applications in mathematical analysis.
NEXT STEPS
  • Study the implications of the supremum condition on vector fields in R².
  • Explore the multidimensional version of monotonicity in the context of diffeomorphisms.
  • Read "Topics in Nonlinear Functional Analysis" by L. Nirenberg for advanced insights.
  • Investigate the relationship between flow and integral curves in ordinary differential equations (ODEs).
USEFUL FOR

Mathematicians, differential geometers, and researchers in nonlinear analysis seeking to understand the conditions for diffeomorphisms in vector fields on manifolds.

kroni
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Hi everybody,

Let V(x) a vector field on a manifold (R^2 in my case), i am looking for a condition on V(x) for which the function x^µ \rightarrow x^µ + V^µ(x) is a diffeomorphism. I read some document speaking about the flow, integral curve for ODE solving but i fail to find a generic condition to avoid V to send two point on the same coordinate. I think about the generator of the diffeomorphism group but it's only defined infinitesimaly.

Thanks

Clément
 
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there are a lot of possible approaches to sufficient conditions. For example, if ##\sup_{x\in\mathbb{R}^2}\Big\|\frac{\partial V}{\partial x}\Big\|## is small enough then it is a diffeomorphism. monotonicity assumption can also help. Perhaps the book Topics in Nonlinear Functional Analysis by L Nirenberg would be of use
 
Monotonicity work only in 1D,
\sup_{x\in\mathbb{R}^2}\Big\|\frac{\partial V}{\partial x}\Big\|[\itex] is non local.<br /> I will look in the book you advise. I find this problem really interesting, may be treated and treated again, but interesting<br /> <br /> Thanks for your answer.<br /> <br /> Clément
 
kroni said:
Monotonicity work only in 1D,
there is multidimensional version of monotonicity, by the way:)
 

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