Interpretations of phase space in Dynamical Systems Theory

In summary: It is the space of positions and momenta of a particle in a system. It is an 8-dimensional space in classical mechanics, which includes the 3 dimensions of position and the 3 dimensions of momentum, along with 2 additional dimensions in the form of angular momentum. In summary, the conversation discusses the interpretation of points in phase space as the state of a system and whether these points can also represent a field of values at different locations. It is suggested that a 1-to-1 mapping can be used to map these points to locations in another space, with the remaining components of the point representing other information. This raises questions about the mathematical soundness of such a definition and its relationship to classical mechanics and the cotangent bundle.
  • #1
Stephen Tashi
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Can some phase spaces be interpreted as fields as well as a set of non-simultaneous states of a single system?
In Dynamical Systems Theory, a point in phase space is interpreted as the state of some system and the system does not exist in two states simultaneously. Can some phase spaces be given an additional interpretation as describing a field of values at different locations that exist simultaenously in a different space?

If ##p## is a point in a phase space and ##p## is a vector or more complicated mathematical object then there can be cases where there exists a 1-to-1 mapping that maps ##p## to a location in some other space (e.g. 3D space or a general metric space). Denote that location by ##x(p)##. Denote the other information contained in ##p## by ##x^c(p)##.

Let the dynamics of a system be given by the set of transformations ##\mathbb{T}## and use the notation that ##T_{\Delta t} \in \mathbb{T}## is the transformation that transforms ##p## to a new state ##T_{\Delta t}(p)## after an interval of time ##\Delta T## passes.

To regard the phase space as a field, consider the values ##( x(p), x^c(p))## to give information about the values of a field at locations ##x(p)## at time ##t = 0##. At time ##\Delta t##, define the value at location ##x(p)## to be ##(x(p), x^c( T_{\Delta t}(p))##.

Is this a mathematically sound definition that describes a field changing in time?
 
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  • #2
Stephen Tashi said:
If ##p## is a point in a phase space and ##p## is a vector or more complicated mathematical object then there can be cases where there exists a 1-to-1 mapping that maps ##p## to a location in some other space (e.g. 3D space or a general metric space). Denote that location by ##x(p)##. Denote the other information contained in ##p## by ##x^c(p)##.
For classical mechanics, isn't ##x^c(p)## additional dimension of the phase space? Isn't it just additional dimensions to the cotangent bundle of configuration space?
 
  • #3
Fred Wright said:
For classical mechanics, isn't ##x^c(p)## additional dimension of the phase space?

The definition doesn't specify a unique way to define ##x(p)## and ##x^c(p)## in terms of the phase space used by classical mechanics.

A "natural" way to do this for the phase space of a single particle would be to let ##x(p)## be the 3-D position information in ##p## at time ##t=0## and let ##x^c(p)## be the remaining components of ##p##. However, for this to define a 1-to-1 mapping between a point ##p## and 3-D space, we can't have a phase space where the particle can be at the same location in 3-D space and have two possible states ##p_1, p_2## at that location. If such a thing is possible in a phase space, then finding spaces where ##x(p)## can defined will require an abstract viewpoint of what a space is.

Isn't it just additional dimensions to the cotangent bundle of configuration space?

I don't know because I haven't studied the physical interpretation of a "cotangent bundle".
 
  • #5
Stephen Tashi said:
I don't know because I haven't studied the physical interpretation of a "cotangent bundle".

Cotangent bundle is the phase space in mechanics.
 

FAQ: Interpretations of phase space in Dynamical Systems Theory

1. What is phase space in Dynamical Systems Theory?

Phase space in Dynamical Systems Theory is a mathematical concept used to represent the state of a system at a given time. It is a multi-dimensional space where each dimension represents a variable of the system. The state of the system is represented by a point in this space, and the trajectory of the system can be traced by following the movement of this point over time.

2. How is phase space used in Dynamical Systems Theory?

Phase space is used in Dynamical Systems Theory to study the behavior of complex systems over time. By mapping the state of a system in phase space, we can analyze its dynamics and understand how it evolves over time. This allows us to make predictions and gain insights into the behavior of the system.

3. What is the significance of phase space in Dynamical Systems Theory?

Phase space is significant in Dynamical Systems Theory as it provides a visual representation of the state of a system and its evolution over time. It allows us to understand the complex dynamics of a system and make predictions about its future behavior. Phase space also helps in identifying patterns and structures in the behavior of a system.

4. How do different interpretations of phase space affect Dynamical Systems Theory?

Different interpretations of phase space can affect Dynamical Systems Theory by providing different perspectives on the behavior of a system. For example, a geometric interpretation of phase space focuses on the shape and structure of the space, while a probabilistic interpretation focuses on the likelihood of a system being in a particular state. These different interpretations can lead to different insights and understanding of a system.

5. Can phase space be applied to real-world systems?

Yes, phase space can be applied to real-world systems in various fields such as physics, engineering, biology, and economics. It is a powerful tool for understanding the behavior of complex systems and has been used to study a wide range of phenomena, from the motion of planets to the behavior of stock markets. However, the accuracy and applicability of phase space depend on the assumptions and simplifications made in modeling the system.

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