Find the approximate linear ODE system

In summary, an approximate linear ODE system is a set of ordinary differential equations that can be approximated by a linear combination of simpler functions. It differs from a regular ODE system in that it allows for a linear combination of functions to approximate the solution, making it easier to solve and analyze complex systems. The benefits of using an approximate linear ODE system include simplifying the solution process, gaining a better understanding of the system's behavior, and making more accurate predictions. This type of system is typically solved using numerical methods, such as Euler's method or the Runge-Kutta method. It is commonly used in fields such as physics, engineering, finance, and biology to model complex systems with multiple variables and interactions.
  • #1
NiallBucks
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dx/dt = x-y^2 dy/dt= x^2 -xy -2x
For each critical point, find the approximate linear OD system that is valid in a small neighborhood of it.

I found the critical points which are (0,0),(4,2),(4,-2) but have no idea how to do the above question! please help!
 
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  • #2
Just calculate the Jacobian matrices of the vector field at the three critical points. Your approximate linear ODE system at the critical point ##(x_c,y_c)##. is going to be of the form ##\dot{u}(t) = A(x_c,y_c)u(t)## where ##A(x_c,y_c)## is the Jacobian matrix.

To check that this system is valid in a small neighborhood, verify that ##A(x_c,y_c)## has no spectrum on the imaginary axis. Which theorem do you use here?
 
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  • #3
I'm not sure about the theorem
 
  • #4
NiallBucks said:
I'm not sure about the theorem
It's the Hartman–Grobman theorem. You should consider looking it up, it's worthwhile.
 
  • #5
To "linearize" an equation simply means to replace any non-linear function by a linear approximation. But the only linear approximations to [itex]x^2[/itex] and [itex]xy[/itex] are "0". At (0, 0), dx/dt= x- y^2 linearizes to dx/dt= x and dy/dt= x^2- xy- 2x to dy/dt= -2x.

About (4, 2), let u= x- 4 and v= y- 2 so that x= u+ 4, y= v+ 2, dx/dt= du/dt, and dy/dt= dv/dt. The equations become du/dt= u+4- (v+2)^2= u+ 4- v^2- 4v- 4 which linearizes to du/dt= u- 4v and dv/dt= (u+ 4)^2- (u+ 4)(v+ 2)- 2(u+ 4)= u^2+ 8u+ 16- uv- 4v- 2u- 8- 2u- 8= u^2- uv+ 4u- 6v- uv which linearizes to dv/dt= 4u- 6v.
 
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  • #6
HallsofIvy said:
To "linearize" an equation simply means to replace any non-linear function by a linear approximation.
Why (and when, and when not) the linearisation says something meaningful about the original system in a neighborhood of the critical point, is less simple, though.
 
  • #7
NiallBucks said:
dx/dt = x-y^2 dy/dt= x^2 -xy -2x
For each critical point, find the approximate linear OD system that is valid in a small neighborhood of it.

I found the critical points which are (0,0),(4,2),(4,-2) but have no idea how to do the above question! please help!
(4, -2) is NOT a critical point.

Also, you posted a question in another forum section about the critical points of this system. Your other question was posted in the right section (Calculus & Beyond under Homework & Coursework Questions). Please take care to post homework questions there, not here in the technical math sections.

Also, don't post essentially the same question in multiple forum sections.
 

1. What is an approximate linear ODE system?

An approximate linear ODE system is a set of ordinary differential equations (ODEs) that can be approximated by a linear combination of simpler functions. This approximation method is commonly used in mathematical modeling to simplify complex systems and make them more manageable to solve.

2. How is an approximate linear ODE system different from a regular ODE system?

An approximate linear ODE system is different from a regular ODE system in that it allows for a linear combination of functions to approximate the solution, whereas a regular ODE system requires the exact function to be found. This makes it easier to solve and analyze complex systems.

3. What are the benefits of using an approximate linear ODE system?

One benefit of using an approximate linear ODE system is that it simplifies the solution process for complex systems, making it easier to obtain an approximate solution. It also allows for a better understanding of the behavior of the system and can lead to more accurate predictions.

4. How is an approximate linear ODE system solved?

An approximate linear ODE system is typically solved using numerical methods, such as Euler's method or the Runge-Kutta method. These methods involve breaking the system down into smaller steps and approximating the solution at each step until the desired level of accuracy is achieved.

5. In what fields is an approximate linear ODE system commonly used?

An approximate linear ODE system is commonly used in various fields including physics, engineering, finance, and biology. It is particularly useful in modeling systems with multiple variables and complex interactions, such as population dynamics, chemical reactions, and electrical circuits.

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