Time dependent forcing and nonlinear systems

Your Name]In summary, the conversation discusses the search for a toy example of a nonlinear system with different behaviors under two different types of forcing. One potential example is the Van der Pol oscillator, which can exhibit stable or chaotic behavior depending on the type of forcing used. This example can help illustrate the impact of different types of forcing on the behavior of a nonlinear system.
  • #1
nickthequick
53
0
Hi,

I'm trying to find a toy (i.e. analytic) example of a nonlinear system that has very different behavior for two different types of forcing:

1) [itex]\frac{\partial u(x,t)}{\partial t}+ N(u(x,t)) = F(x) [/itex]

where u(x,t) is the dependent variable, N represents some nonlinear operator with only spatial derivatives and F is a forcing, independent of time.

2)[itex] \frac{\partial u(x,t)}{\partial t}+ N(u(x,t)) = G(x,t) [/itex]


where G now represents a time dependent forcing. I also constrain (1) and (2) to impart the same total amount of momentum to the system in some given time/space interval that we are examining.


I can think of particular scenarios in fluid dynamics where very different behavior can be achieved under similar scenarios to those written above, but I'd like to first think about this for a simpler system, and am currently drawing a blank on examples.

Thanks!

Nick
 
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  • #2


Hello Nick,

One toy example of a nonlinear system that exhibits different behavior for different types of forcing could be the Van der Pol oscillator. This is a simple model that describes the behavior of a nonlinear oscillator, and it can be written in the form of your equations (1) and (2).

In its simplest form, the Van der Pol oscillator is described by the following equations:

1) \frac{d^2x}{dt^2} - \mu (1-x^2)\frac{dx}{dt} + x = F(t)

2) \frac{d^2x}{dt^2} - \mu (1-x^2)\frac{dx}{dt} + x = G(t)

where x is the dependent variable, \mu is a parameter that controls the nonlinearity, and F(t) and G(t) are different types of forcing functions.

For equation (1), we can choose a forcing function F(t) that is a constant, such as F(t) = 1. This would represent a constant external force acting on the oscillator. In this case, the behavior of the oscillator would be stable and predictable.

However, for equation (2), we can choose a forcing function G(t) that is time-dependent, such as G(t) = \sin(t). This would represent a periodic external force acting on the oscillator. In this case, the behavior of the oscillator would become chaotic and unpredictable.

Both equations have the same amount of total momentum imparted to the system, but the different types of forcing lead to very different behaviors. This example can help illustrate the concept of how different types of forcing can affect the behavior of a nonlinear system.

I hope this helps in your search for a toy example. Best of luck!
 

Related to Time dependent forcing and nonlinear systems

1. What is the concept of time dependent forcing in nonlinear systems?

Time dependent forcing refers to external factors or inputs that vary over time and affect the behavior of a nonlinear system. This can include changes in environmental conditions, fluctuations in input parameters, or other external influences that can cause the system to behave differently over time.

2. How do time dependent forcing and nonlinear systems interact?

Time dependent forcing can significantly impact the behavior of nonlinear systems, as it can cause the system to exhibit complex and unpredictable dynamics. Nonlinear systems are highly sensitive to changes in external inputs, and time dependent forcing can lead to chaotic behavior or other emergent phenomena.

3. What are some examples of time dependent forcing in nonlinear systems?

Examples of time dependent forcing in nonlinear systems include weather patterns affecting the growth of a population, changes in input parameters in an economic model, or variations in external stimuli that impact the behavior of a neural network. These external inputs can have a significant influence on the overall behavior and dynamics of the system.

4. How do scientists study the effects of time dependent forcing on nonlinear systems?

Scientists use mathematical models and computer simulations to study the effects of time dependent forcing on nonlinear systems. They can also conduct experiments in controlled environments to observe the behavior of the system under different external inputs and analyze the data to understand the system's dynamics.

5. What are some real-world applications of studying time dependent forcing and nonlinear systems?

Studying time dependent forcing and nonlinear systems has various real-world applications, such as predicting and understanding the behavior of complex systems like climate patterns, financial markets, and ecological systems. It can also help in designing control strategies for nonlinear systems and optimizing their performance in various fields like engineering, biology, and physics.

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