Put the 2D nonlinear system into Polar Coordinates

In summary, the system in polar coordinates is given by r′ = r(r^2 − 4) and θ′ = 1. The conversation also mentions the importance of showing progress when asking for help on the platform MHB, as it allows helpers to provide the most effective assistance.
  • #1
Krish23
1
0
Show that, in polar coordinates, the system is given by
r′ = r(r^2 − 4)
θ′ = 1x′1 = x1 − x2 − x1^3
x′2 = x1 + x2 − x2^3
 
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  • #2
Hello and welcome to MHB! :D

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FAQ: Put the 2D nonlinear system into Polar Coordinates

What are polar coordinates and how are they different from Cartesian coordinates?

Polar coordinates are a two-dimensional coordinate system that uses a distance from the origin (known as the radius) and an angle from a reference axis (known as the polar angle) to specify the location of a point. They are different from Cartesian coordinates because they use a different set of variables to describe a point's location.

Why would you want to convert a 2D nonlinear system into polar coordinates?

Converting a 2D nonlinear system into polar coordinates can be beneficial because it simplifies the equations and can make it easier to analyze and understand the system. It can also help to identify symmetries and patterns that may not be apparent in Cartesian coordinates.

How do you convert a 2D nonlinear system into polar coordinates?

To convert a 2D nonlinear system into polar coordinates, you need to substitute the polar variables (radius and polar angle) into the equations for the system. Then, you can simplify the equations using trigonometric identities and solve for the new variables.

What are some applications of using polar coordinates in scientific research?

Polar coordinates are commonly used in fields such as physics, engineering, and astronomy. They can be used to analyze the behavior of waves, study the motion of celestial bodies, and model complex systems.

Are there any limitations to using polar coordinates?

While polar coordinates can be useful in certain situations, they may not be the most appropriate system for all problems. They are limited to two dimensions and may not be useful for describing three-dimensional systems. Also, some equations may be more complex when converted into polar coordinates, making them more difficult to solve.

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