Poincare section and bifurcation diagram

In summary, for the bouncing ball experiment, a poincare section is a plot of the ball's position and velocity at a specific point in time and then again at a later time that is one period of the table's oscillation. For the experiment, single poincare sections can be plotted for each type of motion or multiple poincare sections can be plotted to show the progression of motion. The bifurcation diagram is a plot of the parameter versus the behavior of the system, showing how the behavior changes as the parameter is varied.
  • #1
poiuy
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Homework Statement



This is the bouncing ball experiment, a circuit is used as an analog of a ball bouncing on an oscillating table. The amplitude of the tables oscillations is varied and data representing the balls position and velocity is gathered.

I have to plot a poincare section for when the ball is bouncing with a single period, another once period doubling is observed and another once it goes to chaos. Then I have to plot a bifurcation diagram.

I know from my phase-space maps that my data is good and that I have actually observed period doubling and chaos


Homework Equations



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The Attempt at a Solution



I have read every book in my university library on the subject and have been trawling the web for hours, I can find plenty of poincare sections and bifurcation diagrams but nothing about how to extract the data which needs to be plotted.

It was explained to me that for the poincare section a sample is taken of the ball velocity and ball position for a given table position, and the two plotted against each other. Then another sample is taken exactly one period of the tables osciallation later. This means that for single periodic motion of the ball the poincare section is only one point, then after period doubling it is two points and so on. However every poincare section I can find in a book or in a paper is a whole series of points and not just one. I was also told by our lab supervisor that the bifurcation diagram is just all the poincare sections added together but I don't think that it right.

Please tell me what I need to plot for the poincare section and bifurcation diagram!
 
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  • #2


First of all, great job on doing your research and seeking out resources on the subject. it is important to thoroughly understand the concepts and methods involved in an experiment.

For the poincare section, you are correct in your understanding that it is a plot of the ball's position and velocity at a specific point in time, and then again at a later time that is one period of the table's oscillation. This means that for single periodic motion, you will have only one point on the plot, and for period doubling, you will have two points, and so on. However, as you have noticed, most poincare sections in books and papers show multiple points. This is because they are typically plotting the data from multiple periods of the table's oscillation. This is useful for identifying patterns and trends in the data.

For your experiment, you can choose to plot a single poincare section for each type of motion (single period, period doubling, chaos) or you can plot multiple poincare sections to show the progression from one type of motion to another.

As for the bifurcation diagram, it is not simply a sum of all the poincare sections. It is a plot of the parameter (in this case, the amplitude of the table's oscillation) versus the behavior of the system (in this case, the type of motion observed). This will show how the behavior of the system changes as the parameter is varied.

I hope this helps clarify things for you. Good luck with your experiment!
 
  • #3




A Poincare section is a powerful tool for analyzing the dynamics of a system, particularly in cases where the system exhibits periodic or chaotic behavior. In the bouncing ball experiment, a Poincare section can provide insight into the behavior of the ball as it bounces on an oscillating table. By taking samples of the ball's position and velocity at regular intervals, and plotting them against each other, we can observe how these variables change over time and how they relate to each other. The result is a scatter plot of points, with each point representing a specific state of the system at a given time.

In the case of single periodic motion, as you have described, the Poincare section will only have one point, as the system returns to the same state after each period. However, as the system exhibits period doubling or chaotic behavior, the Poincare section will have multiple points, representing the different states of the system at different times.

A bifurcation diagram, on the other hand, is a plot of the parameter values of a system against the resulting behavior of the system. In the case of the bouncing ball experiment, the parameter would be the amplitude of the table's oscillations, and the resulting behavior would be the number of points on the Poincare section. As the parameter is varied, we can observe how the behavior of the system changes, such as the occurrence of period doubling or chaos.

In order to plot a Poincare section and a bifurcation diagram, you will need to collect data from your experiment and plot it accordingly. For the Poincare section, you will need to take samples of the ball's position and velocity at regular intervals, and plot them against each other. For the bifurcation diagram, you will need to vary the amplitude of the table's oscillations and record the resulting number of points on the Poincare section.

I would recommend consulting with your lab supervisor or a colleague who is familiar with the bouncing ball experiment for guidance on how to collect and plot the data accurately. Additionally, you can also refer to other research papers or sources for examples of Poincare sections and bifurcation diagrams in similar experiments.

Overall, the Poincare section and bifurcation diagram are important tools for analyzing and understanding the dynamics of a system, and I am confident that with proper guidance and further research, you will be able to successfully plot these diagrams for your experiment.
 

FAQ: Poincare section and bifurcation diagram

What is a Poincare section and how is it used in chaos theory?

A Poincare section is a technique used in chaos theory to simplify the analysis of a dynamical system. It involves taking a cross-section of the system at a specific point in time or space and plotting the resulting data. This allows for a visual representation of the system's behavior, including any periodic or chaotic patterns.

How is a Poincare section different from a time series plot?

While a time series plot shows the behavior of a system over a continuous period of time, a Poincare section only captures data at specific intervals. This allows for a more simplified representation of the system's dynamics and can reveal patterns that may not be apparent in a time series plot.

What is a bifurcation diagram and what information does it provide?

A bifurcation diagram is a graph that shows how the behavior of a system changes as a parameter is varied. It plots the values of an observable variable against a range of parameter values, showing the different possible states and transitions of the system. This can provide insights into the stability and complexity of the system.

How are Poincare sections and bifurcation diagrams related?

Poincare sections and bifurcation diagrams are both tools used in nonlinear dynamics to analyze the behavior of a system. Poincare sections can be used to create bifurcation diagrams by varying a parameter and plotting the resulting data. This allows for a more detailed understanding of the system's dynamics and the points at which bifurcations occur.

Can Poincare sections and bifurcation diagrams be applied to real-world systems?

Yes, Poincare sections and bifurcation diagrams can be applied to a wide range of systems in biology, physics, economics, and other fields. They are particularly useful in understanding chaotic systems, such as weather patterns, population dynamics, and chemical reactions. By studying the behavior of these systems, scientists can gain insights into their underlying mechanisms and make predictions about their future behavior.

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