Can a second order system be converted into two first order systems with complex roots?

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Discussion Overview

The discussion revolves around the conversion of second order systems into two first order systems, particularly focusing on the implications of complex roots in differential equations. Participants explore the meaning of complex solutions in the context of physical interpretations and applications in control systems and digital signal processing (DSP).

Discussion Character

  • Exploratory
  • Technical explanation
  • Conceptual clarification
  • Debate/contested

Main Points Raised

  • Some participants question the physical meaning of first order systems with complex solutions, suggesting that while they are mathematically valid, their physical interpretation is less clear.
  • Others argue that a differential equation involving complex numbers is as meaningful as any algebraic equation with complex numbers, emphasizing the validity of complex solutions.
  • A participant explains how a second order differential equation can be expressed as a pair of first order equations, detailing the transformation process and the resulting eigenvalue equations.
  • There is a suggestion that the term "cascaded" might be better replaced with "convolved" when discussing the relationship between second order and first order systems.
  • Participants express uncertainty about the physical implications of complex solutions and their applications in fields like control systems and DSP, questioning their practical uses beyond solving ordinary differential equations (ODEs) and analyzing stability.

Areas of Agreement / Disagreement

Participants do not reach a consensus on the physical interpretation of complex solutions in first order systems. While some acknowledge their mathematical validity, others express skepticism about their practical significance. The discussion remains unresolved regarding the applications of these concepts in control systems and DSP.

Contextual Notes

Participants note limitations in understanding the physical meaning of complex solutions and the potential ambiguity in terminology (e.g., "cascaded" vs. "convolved").

david316
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Does a first order system with a solution that contains the complex number i have any meaning?

e.g. dy/dt = iy

therefore y = e^(it) = isin(t) + cos(t)

Follow-up question. Can I breakdown a second order system into two cascaded first order systems that have complex roots?
 
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Yes, I think it could be, just for the differentiation in complex numbers.
 
Exactly what do you mean by "meaning"? A differential equation involving complex numbers has every bit as much meaning as an algebraic equation involving complex numbers or, indeed, as complex numbers themselves.

If dy/dt= iy then [itex]y= Ce^{it}[/itex] where C can be any complex number.

The second order equation, [itex]d^2y/dt^2+ y= 0[/itex] can be written as a pair of first order differential equations by defining [itex]x= dy/dt[/itex] so that [itex]d^2y/dt^2+ y= dx/dt+ y= 0[/itex] and [itex]dy/dt= x[/itex].

You ask about "two cascaded first order systems that have complex roots". First the "system" is the pair of first order equations. Second, the system does not have "complex roots", its characteristic equation has.

We can write the example above, [itex]dx/dt= -y[/itex] and [itex]dy/dt= x[/itex] as the matrix equation
[tex]\frac{d}{dt}\begin{bmatrix}x \\ y \end{bmatrix}= \begin{bmatrix}0 & -1 \\ 1 & 0 \end{bmatrix}\begin{bmatrix}x \\ y \end{bmatrix}[/tex]

That matrix has "eigenvalue equation" (the characteristic equation of the system of differential equations)
[tex]\left|\begin{array}{cc}-\lambda & -1 \\ 1 & -\lambda \end{array}\right|= \lambda^2+ 1= 0[/tex]
which has roots [itex]\lambda= \pm i[/itex].

So the matrix has eigenvalues i and -i and corresponding eigenvectors (1, -i) and (1, i). In particular, if we construct the matrix [itex]B= \begin{bmatrix}1 & 1 \\ -i & i\end{bmatrix}[/itex], having those eigenvectors as columns, which has inverse matrix [itex]B^{-1}= \begin{bmatrix}1/2 & i/2 \\ 1/2 & -i/2\end{bmatrix}[/itex]
Then the equation dX/dt= Ax becomes [itex]d(BX)/dt= (BAB^{-1})(BX)[/itex] which is
[tex]\frac{d}{dt}\begin{bmatrix}u \\ v\end{bmatrix}= \begin{bmatrix}i & 0 \\ 0 & -i\end{bmatrix}\begin{bmatrix}u \\ v \end{bmatrix}[/tex]
where u and v are defined by [itex]\begin{bmatrix}u \\ v \end{bmatrix}= \begin{bmatrix}1 & 1 \\ -i & i \end{bmatrix}\begin{bmatrix}x \\ y \end{bmatrix}[/itex] so that u= x+ y and v= -ix+ iy.

That last system reduces to the two uncoupled equations du/dt= iu and dv/dt= -iv so that we have [itex]u(t)= Ce^{it}[/itex] and [itex]v(t)= De^{-it}[/itex]. Since u= x+ y and v= -ix+ iy, [itex]x= (1/2)u+ (1/2)i v= C' e^{it}+ D' e^{-it}[/itex] and [itex]y= (1/2)u- (1/2)iv= C'e^{it}- D'e^{-it}[/itex] where C'= (1/2)C and D'= (1/2)Di.
 
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Thank you. Makes sense.
 
I should also add that when I said "meaning" I was thinking of a physical interpretation. For example a first order system with a real answer corresponds to exponential decay or growth. A second order second system with a real answer is usually some sort of harmonic oscillator. As far as I can tell, an answer to ODE that contain complex numbers don't appear to have a simple physical meaning.

Also, when I said cascaded I think convolved would have been a better word to use. As far as I understand, which was shown with the system representation, any second order system can be decomposed as two convolved first order ODE. I'm not sure of uses of this expect to solve ODE's and to look at stability. Can it be used in control systems or DSP?
 

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