Introduction to Mathematical Physics/Some mathematical problems and their solution/Boundary, spectral and evolution problems
In order to help the reading of the next chapters, a quick classification of various mathematical problems encountered in the modelization of physical phenomena is proposed in the present chapter. More precisely, the problems considered in this chapter are those that can be reduced to the finding of the solution of a partial differential equation (PDE). Indeed, for many physicists, to provide a model of a phenomenon means to provide a PDE describing this phenomenon. They can be boundary problems, spectral problems, evolution problems. General ideas about the methods of exact and approximate solving of those PDE is also proposed^{[1]}. This chapter contains numerous references to the "physical" part of this book which justify the interest given to those mathematical problems.
In classical books about PDE, equations are usually classified into three categories: hyperbolic, parabolic and elliptic equation. This classification is connected to the proof of existence and unicity of the solutions rather than to the actual way of obtaining the solution. We present here another classification connected to the way one obtains the solutions: we distinguish mainly boundary problems and evolution problems.
Let us introduce boundary problems:
proeq
Problem: (Boundary problem) Find such that:

 satisfies the boundary conditions.
This class of problems can be solved by integral methods (see section chapmethint) and by variational methods (see section chapmetvar). Let us introduce a second class of problems: evolution problems. Initial conditions are usually implied by time variables. One knows at time the function and try to get the values of for greater than . This our second class of problem:
probevollin
Problem: (Evolution problem) Find such that:

eqevollinspec
 satisfies the boundary conditions.
 satisfies initial conditions.
Of course in some problems time can act "like" a space variable. This is the case when shooting problems where should satisfy a condition at and another condition at .
The third class of problem (spectral problem) often arises from the solving (see section chapmethspec) of linear evolution problems (evolution problems where the operator is linear):
prospec1
Problem: (Spectral problem) Find and such that:

 satisfies the boundary conditions.
The difference between boundary problems and evolution problem rely on the
different role played by the different independent variables on which depend
the unknown function.
Space variables usually implies boundary conditions. For instance the
elevation of a membrane which is defined for each position in a
domain
delimited by a boundary should be zero on the boundary.
If the equation satisfied by at equilibrium and at position
in is:
then should be a differential operator acting on space variables which is at least of the second order.
Let us now develop some ideas about boundary conditions. In the case of ordinary differential equations (ODE) the unicity of solution is connected to the initial conditions via the Cauchy theorem. For instance to determine fully a solution of an equation:
one needs to know both and . Boundary conditions are more subtle, since the space can have a dimension greater than one. Let us consider a 1D boundary problem. The equation is then an ODE that can be written:
eqgenerwrit
Boundary conditions are imposed for two (at least) different values of the space variables . Thus the operator should be at least of second order. Let us take . Equation eqgenerwrit is then called Laplace equation\index{Laplace equation}. The elevation of a string obey to such an equation, where is the distribution of weight on the string. A clamped string (see Fig. figcordef) corresponds to the case where the boundary conditions are:
Those conditions are called Dirichlet conditions. A sliding string (see Fig. figcordeg) corresponds to the case where the boundary conditions are:
Those conditions are called Neumann conditions. Let us recall here the definition of adjoint operator\index{adjoint operator}:
Definition: The adjoint operator in a Hilbert space of an operator is the operator such that for all and in , one has .
figcordef
One can show that , the space of functions zero in and is a Hilbert space for the scalar product . (One speaks of Sobolev space, see section secvafor). Moreover, one can show that the adjoint of is :
eqadjoimq
As , is called selfadjoint .
figcordeg
One can also show that the space of function with derivative zero at and at is a Hilbert space for the scalar product: . Using equation eqadjoimq, one shows that is also selfadjoint.
The form \index{form (definite)}
is negative definite in the case of the clamped string and negative (no definite) in the case of the sliding string. Indeed, in this last case, function makes zero.
Let us conclude those remarks about boundary conditions by the compatibility between the solution of a boundary problem
and the right hand member ([#Referencesreferences]).
Theorem:
If there exists a solution for the homogeneous adjoint problem :
then a necessary condition that the problem has a solution is that is orthogonal to .
Proof:
Let us assume that is solution of:
Then
thus
If there exists a function such that , then previous equation implies:
Example:
In the case of the sliding string, function over is solution of the homogeneous adjoint problem. The previous compatibility equation is then: should be of average zero:
For the clamped string the homogeneous adjoint problem has no non zero solution.
 ↑ The reader is supposed to have a good knowledge of the solving of ordinary differential equations. A good reference on this subject is ([ma:equad:Arnold83]).