Exploring Scaling Symmetry in Differential Equations: A Case Study in Geometry

In summary, Peter Olver has a book called "Symmetry Groups of Differential Equations" which discusses symmetry transformations that can be used to solve nonlinear equations. The scaling symmetry mentioned in the problem should mean that you can reduce the order of the equation by 1.
  • #1
CE Adamson
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A geometry problem I'm working on has boiled down to finding a function ##f(t)## such that $$f'' + \frac{2}{t}f' + \frac{f'^2}{\left( 1 - \frac{f}{t} \right) t } + \frac{f'f}{\left(1- \frac{f}{t} \right) t^2} = 0$$ It has two fairly simple solutions, namely ##f(t) = a## and ##f(t) = \frac{k}{t}##, a and k numeric constants. What I'm trying to figure out is the more general solution with two parameters, something like ##f(t) = a + \frac{k}{t}##, except of course that doesn't quite work.

Anybody have any suggestions on how to attack the problem?
 
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  • #2
Your equation is non-linear so superposition of solutions will not work. You can keep trying by educated guess and manipulation of the equation to simplify it or map it to (or near to) some know case. The only way I know of to tackle such equations in general is to look for symmetries.
Peter J. Olver, has some of the most comprehensive texts on the subject. See "Symmetry Groups of Differential Equations" by him.

Specifically a symmetry transformation which maps the equation to itself will map solutions to solutions. By the looks of your k/t solution it looks like you have a scaling symmetry: [itex] f\mapsto \alpha f, t\mapsto \alpha t[/itex]. It maps the equation to an equivalent one and if you divide the whole ODE by [itex] t[/itex] this scaling transformation will map the equation exactly to itself. Often insights into other symmetries can be found in the original application. Look for natural symmetries to your geometry problem.

I'll play with this a bit and see if I can spot anything helpful.

[edit:] This looks a little familiar. You playing with GR metrics? [itex] f = r[/itex]?
 
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  • #3
jambaugh said:
l.

[edit:] This looks a little familiar. You playing with GR metrics? [itex] f = r[/itex]?

This looks like some Ricci tensor DEQs
 
  • #4
jambaugh said:
... The only way I know of to tackle such equations in general is to look for symmetries...

Hmmm... interesting. Not sure if it's what you intended, but gets me thinking there might be a coordinate transform that would result in a DEQ that's easier to solve even if it looks more complicated. (Yes, this is from a GR metric I've been playing with in my spare time :) ) Though I'm not entirely hopeful as I think the form above is about as simple as it gets...
 
  • #5
Well Einstein's equations under various dynamic symmetry conditions has been extensively studied. By saying this I am NOT discouraging you from exploring on your own but you should also touch base with existing research. There is a reason Emmy Noether's work on the relationship between general symmetries and conserved quantities was inspired by the question of conservation of energy in GR. It was here that the intellectual toy of the mathematicians called group theory became the power tool that has inspired the modern formulation of all theoretical physics. I appreciate your post as it's gotten me to revisit this subject from back in my Master's studies days.

The existence of the scaling symmetry I mentioned should mean you can reduce the order by 1. If my review gets to the point where I remember how to implement that I'll post it. It should be something along the lines of the change of dependent variable of [itex] g(t) = f(t)/t[/itex].

Hmm...

[tex] f'' + \frac{2}{t} f' + \frac{f'^2}{t(1-f/t)} + \frac{f'f}{t^2(1-f/t)}=0[/tex] times [itex]t[/itex]
becomes
[tex] tf'' + 2 f' + \frac{f'^2}{1-f/t} + \frac{f'f}{t(1-f/t)}=0[/tex]
which is invariant under ##f\to af, t\to at##. Now applying the change of var:[itex] f = tg, f' = g+tg', f'' = 2g' + tg''[/itex]
gives us
[tex]2tg'+t^2g'' + 2g+2tg' + \frac{g^2+2tgg'+t^2g'^2}{1-g} + \frac{(g+tg')g}{(1-g)}=0[/tex]
or
[tex]t^2g'' + 2g+4tg' + \frac{(g+tg')^2}{1-g} + \frac{(g+tg')g}{(1-g)}=0[/tex]
It's still nastily non-linear but notice then you can replace the derivative operator with ## D = t\frac{d}{dt}## or equivalently make the change of independent variable: ## t = e^\tau## wherein
[tex]\frac{d}{d\tau} = \frac{dt}{d\tau} \frac{d}{dt} = t \frac{d}{dt}[/tex]
carefully (I about skipped this part!) we need also to work out the 2nd derivative:
[tex]\frac{d^2}{d\tau^2} = \frac{d}{d\tau}[t\frac{d}{dt}] = t\frac{d}{dt}[t\frac{d}{dt}] = t\frac{d}{dt}+t^2\frac{d^2}{dt^2}[/tex]
Thence using the notation ##\dot{u}=\frac{du}{d\tau}## the equation becomes:
[tex]\ddot{g}-tg' + 2g+4tg' + \frac{(g+tg')^2}{1-g} + \frac{(g+tg')g}{(1-g)}=0[/tex]
or
[tex]\ddot{g}+ 2g+3\dot{g} + \frac{(g+\dot{g})^2}{1-g} + \frac{(g+\dot{g})g}{1-g}=0[/tex]
So now there's no explicit occurrence of the independent var. From there a lot of algebraic possibilities should be popping out at you.
[tex](1-g)(\ddot{g}+ 2g+3\dot{g}) + (g+\dot{g})^2+ g(g+\dot{g})=0[/tex]

We should now be able to write it as a first order system (separable?) system. ##\dot{g}= -h## (minus sign so I don't have to put many in below).
[tex]\begin{array}{c} \dot{h}= 2g+3h + \frac{(g+h)^2}{1-g} + \frac{(g+h)g}{1-g}\\ \dot{g}=-h\end{array}[/tex]
I can feel an integration just out of reach but I'm tired and under the influence of a bit of bourbon. Play with this and see what you get. And crucially check my work as I well may have made at least 1 error here. But again, the 1 parameter scaling symmetry of the original equation should indicate one level of reduction here. I'll meditate further.
 
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  • #6
Some very nice tricks there to get rid of the explicit variable. I get the same result, although I grouped differently because I saw the same pattern repeating:
$$ ( \ddot{g}+ \dot{g} ) + 2(\dot{g} +g) + \frac{(\dot{g} +g)^2}{1-g} + \frac{g(\dot{g} +g)}{1-g}=0 $$

Looks so tantalizingly close :) Trying to get to ## h = \dot{g} + g## and ## \dot{h} = \ddot{g} + \dot{g}##...

However, I'm not sure I follow about the scaling symmetry. If I just make the straightforward substitution ##g = af, u=at## in the original equation, I get
$$
\frac{g''}{a} + \frac{2}{u}g' + \frac{g'^2}{a \left( 1 - \frac{g}{u} \right) u } + \frac{g'g}{\left(1- \frac{g}{u} \right) u^2} = 0
$$
which is obviously equivalent but has somewhat different form than the original. Can you explain what the "invariance" means?
 
  • #7
Check that last term on the scaling symmetry.
[tex] \frac{(af'/a)(af)}{(1-\frac{af}{at})(at)^2} = \frac{1}{a} \frac{f'f}{(1-\frac{f}{t})t^2}[/tex]

As it stands you don't get exactly the same equation, you get a ##1/a## multiple of the original equation which is equivalent. But if you simply rewrite the original equation times ##t## (or times ##f##) then you'll note that that equation will be exactly scale invariant.

The scaling symmetry generator is: ##\Xi=x\partial_x + t\partial_t## where ##x=f(t)## is a solution. The trick is to find new dependent and independent vars ##y,s## such that in this new set of coordinates ##\Xi = \partial_s##... or so the books say. Hmmm... in terms of polynomial terms you can think of scaling operator as the degree operator in that ##\Xi ax^p = p\cdot ax^p## and ##\Xi bt^q = q\cdot bt^q##. In particular ##\Xi(x/t) = 0## and ##\Xi \sqrt{xt} = \sqrt{xt}##.
So I think the transformation: [itex] s=\sqrt{xt}, y=x/t[/itex] should have the effect of transforming the equation to one without any explicit occurrence of ##y## and thus it will become a 1st order equation in ##u=y'##.

I'm working here on very shaky memory and you should read up on the method and check my assertions. I'm not inclined to work this out myself in the near future but may get curious again and throw some graphite at it.

But do a search on Symmetry method for differential equations and you'll find no shortage of references. There are some good pdf's you can download out there but I am very uncertain about their license and so refrain from posting them, or links to them here.
 
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Related to Exploring Scaling Symmetry in Differential Equations: A Case Study in Geometry

What is ODE from Geometry Problem?

ODE stands for Ordinary Differential Equation. It is a type of mathematical equation that describes the relationship between a function and its derivatives. In geometry, ODEs are often used to solve problems involving curves and surfaces.

How is ODE used in Geometry Problems?

ODEs are used in geometry problems to determine the shape, size, and position of curves and surfaces. They can also be used to find the area, volume, and other properties of geometric figures.

What are some common applications of ODE in Geometry?

ODEs have a wide range of applications in geometry, including finding the slope of a curve, determining the curvature of a surface, and solving optimization problems involving geometric figures. They are also used in computer graphics to create 3D models of geometric shapes.

What are the benefits of using ODE in Geometry?

ODEs provide a powerful tool for solving complex geometry problems. They allow for precise calculations and can be used to model real-world phenomena. Additionally, ODEs can be solved using various mathematical techniques, making them versatile and adaptable to different scenarios.

Are there any limitations to using ODE in Geometry?

While ODEs are a useful tool in geometry, they do have some limitations. They can only be applied to continuous functions, and the equations can become very complex for more complicated geometric problems. Additionally, ODEs require a good understanding of mathematical concepts, so they may not be suitable for beginners in geometry.

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