For either of these solutions, the characteristic
equation of the matrix in (29) is
This equation possesses one real negative
root and two complex conjugate roots when r>1;
the complex conjugate roots are pure imaginary if the product
of the coefficients of λ2 and λ
equals the constant term, or
This
is the critical value of r for the instability of
steady convection. Thus if σ<b+1, no positive
value of r satisfies (34),
and steady convection is always stable, but if σ>b+1,
steady convection is unstable for sufficiently high Rayleigh
numbers. This result of course applies only to idealized
convection governed by (25)-(27), and not to the solutions
of the partial differential equations (17) and (18).
The presence of complex roots
of (34) shows that if unstable steady convection is disturbed,
the motion will oscillate in intensity. What happens when
the disturbances become large is not revealed by linear
theory. To investigate finite-amplitude convection, and
to study the subspace to which trajectories are ultimately
confined, we turn to numerical integration.
TABLE
1. Numerical solution of the convection equations. Values
of X, Y, Z are given at every fifth iteration N,
for the first 160 iterations.
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7. Numerical integration of the convection
equations
To
obtain numerical solutions of the convection equations,
we must choose numerical values for the constants. Following
Saltzman (1962), we shall let σ=10 and a2=1/2,
so that b=8/3. The critical Rayleigh number for
instability of steady convection then occurs when r=470/19=24,74.
We shall choose the slightly supercritical
value r= 28. The states of steady convection are
then represented by
the points (,27) and (,,27) in phase space, while
the state of no convection corresponds to the origin (0,0,0).
We have used the double-approximation
procedure for numerical integration, defined by (9), (10),
and (14). The value Δτ=0.01 bas been chosen
for the dimensionless time increment. The computations have
been performed on a Royal McBee LGP-30 electronic computing
machine.
TABLE 2. Numerical solution of the convection equations
Values of X, Y, Z are given at every iteration N
for which Z possesses a relative maximum, for
the first 6000 iterations.
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