Liapunov’s Second Method proof

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SUMMARY

The proof of Liapunov’s Second Method requires establishing conditions for the function to be positive definite, specifically that ##a > 0## and ##4ac - b^2 > 0##. The function is represented as ##V(x,y) = ax^2 + y(bx + cy)##, and an alternative form derived using Wolfram Alpha is ##V(x,y) = \frac{(2ax + by)^2}{4a} - \frac{b^2y^2 - 4acy^2}{4a}##. The positive definiteness is confirmed through matrix analysis, where the determinant and trace conditions must be satisfied. Understanding linear algebra is essential for this proof.

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For this theorem,
1716878000582.png

I'm trying to prove why ## a > 0## and ##4ac - b^2 > 0## for the function to be positive definite.

My working is, ##V(x,y) = x(ax + by) + cy^2## (I try on write the function in alternative forms)

##V(x,y) = ax^2 + y(bx + cy)##

However, does anybody please know where to go from here?

Thanks!
 
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I suggest that you define ##k = x/y## (the case ##y = 0## trivially gives ##a > 0## as a requirement) and require that ##V(ky,y) \geq 0## regardless of ##k##.
 
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Orodruin said:
I suggest that you define ##k = x/y## (the case ##y = 0## trivially gives ##a > 0## as a requirement) and require that ##V(ky,y) \geq 0## regardless of ##k##.
Thank you for your reply @Orodruin!

I think I also see another method we could use for the proof.

Wolfram Alpha tells me that another equivalent way of writing ##V(x,y)## other than the two previous ways I have done, is

##V(x,y) = \frac{(2ax + by)^2}{4a} - \frac{b^2y^2 - 4acy^2}{4a}##

However, does anybody please know to derive this expression? It seems to work when I expand it, however, I have never seen this sort of expression before derived from first principles. That expression also neatly solves the proof by making sure the second term is always positive ##\frac{y^2(b^2 - 4ac)}{2a}## so that negatives cancels which occurs when ##b^2 - 4ac <0## and ##a > 0##.

Thanks!
 
looks like some sort application of the quadratic formula, 4ac -b^2 gives it away.
The algebra can be done by setting the equation equal to zero (subtract V(x,y) from both sides and treat as part of the c term), applying quadratic formula, then set it equal to V(x,y)
 
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Complete the square in x.
 
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The matrix representing this function is: [a,b/2];[b/2,c]
A matrix is positive definite whenever <Av,v>>0 when v is a vector different than zero.
And that happens when det(A)>0 and trace(A)>=0.

the determinant is ac-b^2/4>0 and the trace is a+c>0.

if a<0 then because ac>0, also c<0 which is impossible since then we would get: a+c<0, contrary to the fact that the trace is positive.

But in order to know all the above, you really need to know linear algebra 2.
 
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BTW, one should assume obviously that a,b,c are real numbers.
 
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