Classification of a singularity using the Liapounov-Schmidt reduction

The Lyapunov–Schmidt reduction is a procedure used to study solutions to nonlinear equations at singular points, where the implicit function theorem does not work. In several cases of interest, this procedure permits the reduction of infinite-dimensional equations in a Banach space to a system of equations in finite dimension. Once this system of equations has been obtained, singularity theory can be used to classify singular point.

A bifurcation problem

We shall work with a Hilbert space , and

We consider a Lagrangian , where is the loading parameter. We shall suppose that is Frechét differentiable as many times as is needed, and we shall use the notation

Moreover, we shall use

We introduce the operator defined by

We suppose that is a set of solutions of the equation . This implies, in particular, that

The Lyapounov-Schmidt reduction

 

For each we consider the linear operator define the operator defined by:

We assume that there exists a critical load such that the operator

has one-dimensional kernel, and that the range of is the orthogonal complement . Hence

is one to one.

The correction

We denote by the orthogonal projection. We select one element of and we define

The map

is bounded and surjective. Hence by the implicit function theorem, we deduce that

Moreover, the function is smooth in this neighborhood and vanishes at the critical point

Thus, for in a small neighborhood of we have the identity

The effective function

We define the equivalent function

In a small neighborhood of the critical point , the solutions of the equation are in one-to-one correspondence with the solutions of the equation .

The following properties are important:

Derivatives of the effective function

Although the function is not known explicitly, it is possible to compute its derivative at the bifurcation point .

Calculation of and

Taking the derivative of with respect to we obtain:

Note that

Moreover,

Hence, becomes:

The last equation allows us to compute from the knowledge of by solving the linear equation:

Once this solution is known, we can substitute into

which is obtained from by differentiation with respect to .

Calculation of

A calculation similar to the previous one allows us to compute . Indeed, we find, differentiating with respect to :

where is the solution of the following equation

which is obtained by differentiation of .

Calculation of

Differentiating with respect to we obtain

where is obtained by solving the equation

which follows form .

Calculation of

Differentiation of with respect to yields

Differentiation of with respect to yields an equation for :

Calculation of

Differentiating

where the unknown is determined by solving

which follows from upon differentiation with respect to .

Calculation of the derivatives of and at the critical point

We first show that:

In fact, we recall that and that , hence implies in particular that solves the equation , and hence . On the other hand, also cf. ). Thus, the only possible solution of the above equation is

From we obtain the first of . A similar argument, based on the observation that yields

This implies the second of .

Transversality condition

The fact that is singular at the critical point implies that the implicit function theorem cannot be applied at that point. However, it is not a sufficient condition to guarantee that the critical point is an actual bifurcation point. A sufficient condition can be formulated, however, which goes by the name of transversality condition.

Evaluating at and making use of and and on setting

we obtain

Recalling that for a system of one degree of freedom the transversality condition is we obtain the transversality condition .

Calculation of

We find from :

where can be computed by solving the equation:

which follows from . From this we deduce, using the definition of , and with some calculation, the formula:

Calculation of

Finally,