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NewtonFlow
The differential equation for the Newton flow
If
then define
and
then there are 4 solutions of
lim_(t→∞)z(t,a)∈{0,±i√2}∀a∈ℂ
and S(lim_(t→∞)z(t,a))=0
The Newton flow corresponding to the solution of the continuous Newton's method can be considered as an infinitesimal generator of a semigroup of holomorphic mappings.
To understand this, we need to briefly discuss the continuous Newton's method and the concept of semigroups of holomorphic mappings.
Continuous Newton's method is a generalization of the classical Newton's method in which the iterations are replaced by a continuous flow. For a given holomorphic function
with an initial condition
The solution of this ODE is a continuous trajectory
A semigroup of holomorphic mappings is a family of mappings
-
$T(0)$ is the identity map on$D$ . - For all
$s, t \geq 0$ , if$s + t < t_{\max}$ , then
where
An infinitesimal generator
Now, consider the Newton flow as a semigroup of holomorphic mappings
Therefore, the Newton flow corresponding to the solution of the continuous Newton's method can be considered as an infinitesimal generator of a semigroup of holomorphic mappings.
The fundamental idea behind considering Newton flow as an infinitesimal generator is that the evolution of the flow can be captured by the differential equation that drives the flow. We have the Newton's method expressed as an ordinary differential equation (ODE), which continuously tracks the trajectory of the points on the complex plane. This trajectory forms a semigroup under the operation of function composition.
The infinitesimal generator is essentially the velocity of the system, and it encodes the dynamics of the system. When we talk about Newton flow, the infinitesimal generator is given by the right-hand side of the ODE:
Here,
In your case, you have the function
It's important to note that, due to the choice of
As time progresses, the points of the flow evolve according to the dynamics of the system. In the limit as
Since
The connection between the infinitesimal generator and the semigroup properties of the flow is the fundamental principle that makes this method so powerful for root-finding, including for complex functions like
However, remember that the practical implementation of this theory is not trivial and often involves complex numerical methods to handle the evolution of the points in the complex plane, especially for more complicated functions like