1.4 Outline of the steps in solving a differential equation using Lie symmetry method
These are the steps in solving an ODE using Lie symmetry method.
Given an ode \(y^{\prime }=\omega \left ( x,y\right ) \) to solve in natural coordinates.
The tangent vector \(\xi \left ( x,y\right ) ,\eta \left ( x,y\right ) \) are found. There are two options to find these.
If Lie group coordinates \(\left ( \bar {x},\bar {y}\right ) \) are given, then it is easy to determine \(\xi \left ( x,y\right ) ,\eta \left ( x,y\right ) \) using
In practice Lie group coordinates \(\left ( \bar {x},\bar {y}\right ) \) are not given and are not known. In this
case \(\xi \left ( x,y\right ) ,\eta \left ( x,y\right ) \) must be found by solving the similarity condition which results in a
PDE (derivation is given below). The PDE for first order ode \(y^{\prime }=\omega \left ( x,y\right ) \) comes out to
be
\(\xi ,\eta \) are now used to determine the canonical coordinates \(\left ( X,Y\right ) \). In the canonical coordinates,
only \(S\) translation is needed to make the ode quadrature. The transformation is \(\left ( \bar {X},\bar {Y}\right ) \rightarrow \left ( X,Y+\varepsilon \right ) \).
This transforms the original ode \(y^{\prime }=\omega \left ( x,y\right ) \) to \(\frac {dY}{dX}=f\left ( X\right ) \) which is then solved by only integration.
This is the main advantage of moving to canonical coordinates \(\left ( X,Y\right ) \). In canonical
coordinates \(Y\) is like the \(y\) and \(X\) is like the \(x\). i.e. dependent variable is \(Y\left ( X\right ) \) like \(y\left ( x\right ) \) in natural
coordinates. The ODE in canonical coordinates is much simpler to solve than in natural
coordinates.
The ODE is solved in \(\left ( X,Y\right ) \) space where \(X\equiv X\left ( x,y\right ) ,Y\equiv Y\left ( x,y\right ) \). The transformation from \(\left ( x,y\right ) \) to \(\left ( X,Y\right ) \) is found by solving two set
of PDEs using the characteristic method. After finding \(X\left ( x,y\right ) ,Y\left ( x,y\right ) \) the ode will then be given by \(\frac {dY}{dX}=\frac {Y_{x}+Y_{y}\frac {dy}{dx}}{X_{x}+X_{y}\frac {dy}{dx}}\) which
will be quadrature. If this ode does not come out as \(\frac {dY}{dX}=f\left ( X\right ) \) then something went wrong in the
process. This ode is now solved for \(Y\left ( X\right ) .\) It is the symmetry of the form \(\left ( \bar {X},\bar {Y}\right ) \rightarrow \left ( X,Y+\varepsilon \right ) \) which is of the most
interest in the Lie method. This is called a translation transformation along the \(Y\) axis (i.e.
vertical). This is because this vertical transformation is what leads to an ode which is solved
by just integration.
Solution is transformed from \(Y\left ( X\right ) \) to \(y\left ( x\right ) \).
An alternative to steps (3) to (5) (Which seems to be only applicable to first order odes) is to
use \(\xi ,\eta \) to determine an integrating factor \(\mu \left ( x,y\right ) \) which is given by \(\mu \left ( x,y\right ) =\frac {1}{\eta -\xi \omega }\) then the general solution to \(y^{\prime }=\omega \left ( x,y\right ) \) can
be written directly as \(\int \mu \left ( x,y\right ) \left ( dy-\omega dx\right ) =c_{1}\) or \(\int \frac {dy-\omega dx}{\eta -\xi \omega }=c_{1}\) but this requires finding a function \(F\left ( x,y\right ) \) whose differential is \(dF=\frac {dy-\omega dx}{\eta -\xi \omega }\) and now
the solution becomes \(\int dF=c_{1}\,\) or \(F=c_{1}\). If we can integrate this using \(\int \mu dy-\int \mu \omega dx=c_{1}\) then this is the solution to the ode.
It is implicit in \(y\left ( x\right ) \). Currently my program does not implement Lie symmetry to find an
integrating factor due to difficulty of finding \(dF\) that satisfies\(\ dF=\frac {dy-\omega dx}{\eta -\xi \omega }\) or in carrying out the integration
in all general cases but hope to add this soon as a backup algorithm if the main one
fails. This method is similar to solving exact ode if the integrating factor can be
found.
An important property, at least for first order ode’s (I do not know now if this applies to
higher order) is that given \(\xi =f\left ( x,y\right ) ,\eta =g\left ( x,y\right ) \), then it is always possible to shift and use \(\xi \equiv 0,\eta =g-\omega f\) where \(y^{\prime }=\omega \left ( x,y\right ) \).
This means everything can be based on \(\xi \equiv 0\) after this shift is done. This can simplify
some parts of the computation. Of course if \(\xi \) was found to be zero initially, i.e.
just after solving the linearized similarity PDE, then there is nothing more to
do.
The most difficult step in all of the above is 2(b) which requires finding \(\xi \left ( x,y\right ) ,\eta \left ( x,y\right ) \). In practice Lie group \(\bar {x},\bar {y}\)
transformation is not given. Lie infinitesimal \(\xi \left ( x,y\right ) ,\eta \left ( x,y\right ) \) have to be found directly from the linearized
symmetry condition PDE using ansatz and by trial and error. The following diagram illustrates the
above steps.