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Untitled - Cdm.unimo.it

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Time-Dependent Problems 235<br />

particularly sens<strong>it</strong>ive to the smoothness of the solution. Desp<strong>it</strong>e much effort devoted to<br />

this subject, many problems remain. Polynomial approximations by spectral methods<br />

of equation (10.3.21), when A(x,U) := x or A(x,U) := −x, have been considered in<br />

gottlieb and orszag(1977), section 7. Nonlinear examples will be examined in the<br />

coming section.<br />

10.4 Nonlinear time-dependent problems<br />

An interesting family of nonlinear first order problems is represented by conservation<br />

equations. They are wr<strong>it</strong>ten as<br />

(10.4.1)<br />

∂U<br />

∂t<br />

∂F(U)<br />

(x,t) = (x,t), x ∈] − 1,1[, t ∈]0,T],<br />

∂x<br />

where F : R → R is a given function. If F is differentiable, then (10.4.1) is equivalent to<br />

taking A(x,U) := F ′ (U) in (10.3.21). These equations are consequence of conservation<br />

of energy, mass or momentum, in a physics phenomenon. Boundary cond<strong>it</strong>ions have to<br />

be imposed at the inflow boundaries, which are determined according to the direction<br />

of the characteristic curves. We note that now the slope of a characteristic curve at a<br />

given point (x,t) depends on the unknown U. The case corresponding to F(U) :=<br />

− 1<br />

2 U2 , U ∈ R (hence A(x,U) = −U), is sufficient to illustrate the possible ways in<br />

which the solution can develop. A theoretical discussion is too lengthy to include here.<br />

We suggest the books of smoller(1983), chapter 15, and kreiss and lorenz(1989),<br />

chapter 4, for a more in-depth analysis.<br />

A large variety of fin<strong>it</strong>e-difference schemes has been proposed to solve the above<br />

equations numerically. These are sometimes very sophisticated in order to treat so-<br />

lutions w<strong>it</strong>h sharp derivatives or shocks. Among many celebrated papers, we refer to<br />

sod(1985) for a general introductive overview. There is less published material available<br />

in the field of spectral methods. Algor<strong>it</strong>hms are proposed for the approximation of peri-<br />

odic solutions by trigonometric polynomials, but some of the techniques can be adapted

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