Understanding Dynamical Systems: Questions on Terminology and Notation

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In summary, a 'flow' in dynamical systems refers to the evolution of a system over time, and the operator \sigma ^{t} =e^{itH} is related to Hamiltonian systems. The quotient space R/(logp)Z is a mathematical concept used to describe a space of real valued finite Fourier series on R/(logp)Z , which may vary in definition depending on its context. The work by Deninger provides more information on these topics.
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I have some questions about dynamical system

- What do you call a 'flow' ?? , are you referring to the operator [tex] \sigma ^{t} =e^{itH} [/tex] with 'H' being a Hamiltonian operator

- In Deninger paper (see link below) it appears the definition 'Let be [tex] R_{p} [/tex] the R-vector space of real valued finite Fourier series on [tex] R/(logp)Z [/tex] , what is exactly the definition of the quotient space [tex] R/(logp)Z [/tex]

the work by Deninguer can be foud here:

http://www.google.es/url?sa=t&sourc...yPyOAQ&usg=AFQjCNE3cXuK0vlsfXOFzhpxsSWMPTS0ew
 
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I can provide some clarification on these questions about dynamical systems.

Firstly, a 'flow' in dynamical systems refers to the evolution of a system over time. It is often represented by a vector field that describes the direction and speed at which the system moves in each point of its state space. This can be visualized as a flow of particles or fluid through the system.

Secondly, the operator \sigma ^{t} =e^{itH} is indeed related to dynamical systems, specifically to Hamiltonian systems. It is known as the time evolution operator and it describes how the system evolves over time based on its Hamiltonian, which is a mathematical function that represents the energy of the system.

Regarding the definition of the quotient space R/(logp)Z , this is a mathematical concept that is used to describe a space that is obtained by taking a larger space and "modding out" certain elements. In this case, it appears that the quotient space is being used to describe a space of real valued finite Fourier series on R/(logp)Z , which means that the elements of the space are functions that are periodic with period logp and have real values. The exact definition of this space may vary depending on the context in which it is used.

I hope this helps to clarify some of your questions about dynamical systems. If you have any further questions or need more information, please don't hesitate to ask. I am always happy to share my knowledge and expertise.
 

FAQ: Understanding Dynamical Systems: Questions on Terminology and Notation

What is a dynamical system?

A dynamical system is a mathematical model used to describe the evolution of a system over time. It involves a set of variables and equations that determine how the system changes from one state to another.

What are some examples of dynamical systems?

Some common examples of dynamical systems include weather patterns, population growth, and the motion of objects in space. However, they can also be found in other fields such as economics, biology, and engineering.

What is the difference between a linear and a nonlinear dynamical system?

A linear dynamical system follows a set of linear equations, meaning that the relationships between variables are proportional and can be represented by a straight line. Nonlinear dynamical systems, on the other hand, involve nonlinear equations and have more complex relationships between variables.

What is chaos theory and how does it relate to dynamical systems?

Chaos theory is a branch of mathematics that studies the behavior of complex systems that are highly sensitive to initial conditions. Dynamical systems are often used to model chaotic systems, such as the weather or the stock market, in order to understand and predict their behavior.

What are attractors in a dynamical system?

An attractor is a set of values towards which a dynamical system tends to evolve over time. It can be thought of as an equilibrium state or a stable pattern that the system will eventually settle into. There are different types of attractors, including fixed points, limit cycles, and strange attractors.

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