3
Introduction to second-order
scalar equations
3.1
Preamble
In Chapter 2 we tried to describe, in the simplest possible terms, the only reason-
ably general framework that exists concerning the solutions of the Cauchy problem
for arbitrary partial differential equations. Many pages could now be spent in ex-
plaining this framework in more detail, but we will instead devote the next three
chapters to a more specialised analysis of three commonly occurring classes of
second-order scalar equations. This will enable us not only to illustrate as simply
as possible the subtleties that can arise when 'non-hyperbolic' equations are being
solved, but also to look at the role played by the ideas proposed in Chapter 2 when
they are viewed in a more concrete setting.
When we start to consider specific second-order equations in Chapters 4-6,
we will find that we rapidly encounter formidable technical difficulties. Hence this
chapter is a preface that emphasises the central ideas that will need to be kept in
mind in the next three chapters.
Before we start, let us make one elementary observation to illustrate the care
that may have to be taken with what appear to be harmless enough second-order
scalar equations. It comes from a trivial piece of Fourier analysis and shows that the
qualitative behaviour of the solutions of second-order partial differential equations
with Cauchy data is far more diverse than in the case for initial value problems
for second-order ordinary differential equations. In the latter case, the Cauchy-
Picard theorem guarantees existence, uniqueness and continuous dependence on
the data, assuming only appropriate Lipschitz continuity. However, we shall see
that partial differential equations which are on the face of it much smoother can
in fact lose the property of continuous dependence on the Cauchy data. This fact,
which provides one of the basic motivations for trying to classify these partial
differential equations, is illustrated by considering the solutions of the two problems
(i)
au 02u
=
(3.1)
(ii)
8y
Ox2'
2--
8 22
(3.2)
in y > 0, with data
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