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     SOME OF THE BASIC METHODS OF NONLINEAR  DYNAMICS            487
              appendix, we consider only autonomous systems of the type
                                           x = f(x),  x E  R".                     (F. 13)
                The basic idea of  the  method  is  as follows. Suppose that  we  wish  to determine the
              stability of  a fixed point X of  the vector field (F.13). Roughly speaking, according to the
              previous definitions of  stability it  would be  sufficient to find  a neighbourhood  U  of X,
              for which orbits starting in U remain in U for all positive time. This condition would be
              satisfied if it could be shown that the vector field is either tangent to the boundary of U or
              pointing inwards towards X. This situation should remain true even as U  is shrunk down
              into JE.  Lyapunov's method provides a way of making this precise. Let V(x) be a scalar
              function with  V(X) = 0, such that  V(x) = constant is a hypersurface encircling X, with
              V(x) > 0 in  a neighbourhood of  X. Now recall that the  gradient of  V, VV, is  a vector
              perpendicular to the surface in the direction of  increasing V.  So, if  the vector field were
              always to be either tangent or pointing inwards for each of these surfaces surrounding X,
              one would have
                                              vv.x 5 0.                            (F. 14)
              The following theorem makes these ideas more precise.
              Theorem. Consider the vector field (F.13). Let X be  a fixed point and let  I/: U -+ R be
              a C'  function'  defined on some neighbourhood U  of X. If
              (i) V(X) = 0, and V(x) > 0 for x # X,
              (ii) V(x) 5 o in u - {XI,
              then X is stable. Moreover, if
              (iii) V(x) < 0 in  u - (531,
              then X is asymptotically stable. We remark that if  U can be chosen to be all of  R",  then
              X is said to be globally asymptotically  stable if  (i) and (iii) hold.
                Functions which satisfy the theorem above are called Lyapunov functions. The theorem,
              however, contains no hint  as to how  a function V(x) may be found in any given case.
              For differential equations which describe the behaviour of  a physical system, it is often
              possible to deduce a suitable Lyapunov function by  using general physical principles. It
              can be proved (Krasovskii 1963) that for every differential equation with trivial solution
              x = 0, there  indeed exists  a  Lyapunov  function  which  may  determine the  stability or
              instability of  the  solution. In  many  cases, however, it just  cannot be  found. There  are
              a multitude of  procedures which have been proposed for the systematic construction of
              these functions (Hagedorn 1981), but they are either too complicated or suited only for
              certain classes of  differential equations.
              F.2  CENTRE MANIFOLD REDUCTION
              Centre manifold reduction is basically a process of reducing the dimension of a system of
              ordinary differential equations in the neighbourhood of an equilibrium point (Can 198 1 ;
              Guckenheimer & Holmes 1983). The method involves restricting attention to an invariant
                +That is, let V be a real continuous function defined in an open subset II of  R"  that  includes E.
     	
