Understanding Non-Linear Differential Equations: Definition and Examples

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Discussion Overview

The discussion revolves around the definition and characteristics of non-linear differential equations (DEs). Participants explore what qualifies a DE as non-linear, providing examples and contrasting them with linear DEs. The conversation includes theoretical aspects and practical implications, particularly in the context of modeling complex systems like brain function.

Discussion Character

  • Technical explanation
  • Conceptual clarification
  • Debate/contested

Main Points Raised

  • One participant seeks a clear definition of non-linear DEs and expresses uncertainty about distinguishing them from linear DEs.
  • Another participant defines linear DEs using a specific mathematical form and states that any DE not fitting this form is non-linear.
  • A different participant adds that a set of coupled DEs is non-linear if any products of the functions or their derivatives appear, providing various examples.
  • One participant questions the definition of non-linearity, suggesting there may be additional meanings related to feedback effects in solutions, referencing the Einstein field equations.
  • Another participant emphasizes the importance of understanding basic DEs before tackling more complex examples, reiterating a simple linear DE as a test of understanding.

Areas of Agreement / Disagreement

Participants express differing views on the definition and implications of non-linearity in DEs. While some definitions are presented, there is no consensus on a singular understanding of non-linearity, particularly regarding its relation to feedback effects.

Contextual Notes

Some participants highlight that linearity or non-linearity pertains specifically to the functions being solved for, not the variables involved. There is also an implication that understanding basic DEs is crucial before progressing to more complex forms.

StationZero
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Hey gang, how would you specifically define what a non-linear DE is? I mean, what specifically qualifies a DE to be nonlinear, and what does that mean? I am currently working with a team that models brain function as an array of coupled oscillators with complex feedback profiles and I understand the the DE's that are put in the Runge-Kutta solver are nonlinear, but looking at a symbolic equation on a chalkboard, I'm not sure if I could pick out a non-linear ODE from a linear one. Could someone help?
 
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Think on what you learned at school. A linear function (really a straight line) is of the form
y= a\cdot x + b
Now a differential equation of the form
x'(t) = A(t) \cdot x(t) + b(t) \qquad \qquad (*)
is a linear differential equation. (Note the dependency on t)

Again back to school, a non-linear function is e.g. a parabola
y=x^2
Hence, a DE of the form
x'(t) = x(t)^2
is non-linear.

Summarizing, every DE which could be written in the form (*) is a linear differential equation. All other equations are non-linear.

Note that linear / non-linear has nothing to do with RK solver. But it is true that linear DEs could mostly easily be solved analytically, and therefore a RK solver is not necessary. But it is not true that DEs which are solved by an RK solver are non-linear.

Check also https://www.physicsforums.com/showthread.php?t=628922
 
If you have a coupled set of differential equations for some set of functions ##{y_1(t), y_2(t), \dots, y_n(t)}##, the equations are non-linear if any products of these functions or their derivatives appear.

e.g.,

$$y_1(t)^2,~y_{17}(t)y_2(t),~y_3(t)\dot{y}_4(t),~ \ddot{y}_9(t)y_8(t)y_2^{(400)}(t).$$

It is also non-linear if you have a function of one of the y's, e.g.,

$$\sin(y_{27}(t)),~\exp(-y_{12}(t)^2/2).$$

Note that terms such as

$$ty_5(t),~t^2 + y_2(t)$$

are linear as far as the differential equation is concerned. Linear or non-linear in the context of DEs is referring only to the functions you are solving for, not to the variables the function is a function of.
 
I guess what I am confused about is the notion of non-linear. I understand that squaring the coefficient defining the slope, or cubing it, etc., will lead to a nonlinear solution there, but there is another definition of non-linear, isn't there? One relating to feedback-dependent effects in the solution to the equations, such as the solutions to the Einstein field equations?
 
Einstein… okay I am not sure what you mean. This guy made definitely some non-linear stuff.

From your initial post I sought you have some problems to determine if an ordinary differential equation is linear or non-linear.

Before you start with some fancy DEs you have to understand what a DE actually is.

I repeat the simplest example again (this is actually a test for students in an oral examination if they got it or not, and believe me 20-25% will fail…)

Solve

x'(t) = -k \cdot x(t) \, , \qquad x(0)=x^0

What is the solution?

If you are not able to write down the solution immediately forget about Einstein...
 
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