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熱対流問題の解に対する計算機援用証明 (数学解析の計算機上での理論的展開とその遂行可能性)

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(1)

熱対流問題の解に対する計算機援用証明

Some

Computer

Assisted Proofs for Solutions of the Heat

Convection

Problems

渡部

善隆

\dagger

中尾

充宏

\ddagger

山本

野人

*

西田

孝明

*

Yoshitaka

Watanabe

Mitsuhiro T.Nakao

Nobito Yamamoto

Takaaki Nishida

\dagger

九州大学情報基盤センター

\ddagger

九州大学大学院数理学研究院

*

電気通信大学情報工学科

*

京都大学大学院理学研究科

概要

This is

acontinuation

of

our

previous

results [7].

In

[7], the authors

considered

the

tw0-dimensional

Rayleigh-B\’enard convection and proposed

an

approach

to

prove

the

ex-sistence

of

the

steady-state solutions based

on

the

infinite dimensional

fixed-point

theorem

using

Newton-like

operator

with

the

spectral

approximation

and

the

constructive

error

es-timates.

We

numerically

verified several exact non-trivial

solutions which correspond

to

the

bifurcated

solutions from the

trivial

solution. This

paper

shows

more

detailed

results

of verification for the given Prandtl and Rayleigh

numbers,

which

enables

us

to study the

global bifurcation structure. All numerical examples discussed

are

taken

into

account of

the

effects of rounding

errors

in

the floating point computations.

1

The

Rayleigh-B\’enard

Problems

Consider

aplane

horizontal

layer

$(0\leq z\leq h)$

of

an

incompressible viscous fluid heated from

below. At the lower boundary:

$z=0$

the layer of fluid is maintained at temperature

$T+\delta T$

and the temperature

of

the

upper

boundary

$(z=h)$

is

$T$

(see Fig.1).

Fig.1. Geometry of the

convection

problem.

All variations

with respect to

$y$

-direction

are

assumed to

vanish,

then according to the

Oberbeck-Boussinesq

approximations

$[1, 3]$

,

the equations

governing convection

in alayer in the

tw0-dimensional

(x-z)

are

described

as

follows:

$\{$

$u_{t}+uu_{x}+wu_{z}$

$=$

$w_{t}+uw_{x}+ww_{z}$

$=$

$u_{x}+w_{z}$

$=$

$\theta_{t}+u\theta_{x}+w\theta_{z}$

$=$

$-p_{x}/\rho_{0}+\nu\Delta u$

,

$-(p_{z}+g\rho)/\rho_{0}+\nu\Delta w$

,

(1)

0,

$\kappa\Delta\theta$

.

数理解析研究所講究録 1286 巻 2002 年 17-26

17

(2)

In the above system (1),

$(u, 0, w)$

is the velocity vector

field

in the respective

direction

$(\#, y, z);p$

is the

pressure

field;

0is

the temperature;

$\rho$

is the

fluid

density;

$\rho 0$

is the density at temperature

$T+\delta T;\nu$

is the kinematic

viscosity;

$g$

is the gravitational acceleration;

$\kappa$

is the

coefficient

of

thermal diffusivity;

$*_{\xi}:=\partial/\partial\xi(\xi=x, z, t)$

;and

$\Delta:=\partial^{2}/\partial x^{2}+\partial^{2}/\partial z^{2}$

.

The

Oberbeck-Boussinesq

approximation also requires that the

fluid

density is

to

be independent of pressure and depends

linearly

on

the temperature

$\theta$

,

therefore

$\rho$

can

be

represented

by

$\rho-\rho_{0}=-\rho_{0}\alpha(\theta-T-\delta T)$

,

where ais the

coefficient of

thermal expansion.

The

Oberbeck-Boussinesq

equations (1)

have astationary solution:

$u^{*}=0$

,

$w^{*}=0$

,

$\theta^{*}=T\mathit{4}$

$\delta T$

$- \frac{\delta T}{h}z$

,

$p^{*}=p_{0}-g \rho_{0}(z+\frac{\alpha\delta T}{2h}z^{2})$

representing the purely heat conducting

state,

where

$p_{0}$

is aconstant. By setting

\^u

$:=u$

,

$\hat{w}:=w$

,

$\hat{\theta}:=\theta^{*}-\theta$

,

$\hat{p}:=p^{*}-p$

,

the perturbed equations:

$\{$

$\hat{u}_{t}+\hat{u}\hat{u}_{x}+\hat{w}\hat{u}_{z}$

$=$

$\hat{p}_{x}/\rho_{0}+\nu\Delta\hat{u}$

,

$\hat{w}_{t}+\hat{u}\hat{w}_{x}+\hat{w}\hat{w}_{z}$

$=$

$\hat{p}_{z}/\rho_{0}-g\alpha\hat{\theta}+\nu\Delta\hat{w}$

,

$\hat{u}_{x}+\hat{w}_{z}$

$=$

0,

$\hat{\theta}_{t}+\delta T\hat{w}/h+\hat{u}\hat{\theta}_{x}+\hat{w}\hat{\theta}_{z}$

$=$

$\kappa\Delta\hat{\theta}$

,

(2)

are

obtained.

Moreover,

transforming

to

dimensionless

variables:

$tarrow\kappa t$

,

$uarrow\hat{u}/\kappa$

,

$warrow\hat{w}/\kappa$

,

$\thetaarrow\hat{\theta}h/\delta T$

,

$parrow\hat{p}/(\rho_{0}\kappa^{2})$

of

(2),

the

dimensionless

equations:

$\{$

$u_{t}+uu_{x}+wu_{z}$

$=$

$p_{x}+P\Delta u$

,

$w_{t}+uw_{x}+ww_{z}$

$=$

$p_{z}-PR$

$\theta+P\Delta w$

,

$u_{x}+w_{z}$

$=$

0,

$\theta_{t}+w+u\theta_{x}+w\theta_{z}$

$=$

$\Delta\theta$

(3)

are

led,

where

$R$

$:= \frac{\delta T\alpha g}{\kappa\nu h}$

is the Rayleigh number and

$\mathcal{P}$

$:= \frac{\nu}{\kappa}$

is the Prandtl number.

xThe Rayleigh

number

is sometimes defined

by

$72=(\delta T\alpha gh^{3})/(\kappa\nu)$

when

the

dimensionless

equations

are

reduced

to the

domain

of

$0\leq z\leq 1$

.

(3)

2Afixed-point

formulation

We shall find the steady-state

solutions,

$u_{t}$

,

$w_{t}$

and

$\theta_{t}$

are

equated

to

0in

(3),

and

assume

that all fluid motion is

confined

to the rectangular

region

$\Omega:=\{0<x<2\pi/a, 0<z<\pi\}$

for

agiven

wave

number

$a>0$

.

Let

us

impose periodic boundary

condition

(period

$2\pi/a$

)

in

the

horizontal

direction,

stress-ffee boundary conditions

$(u_{z}=w=0)$

for

the

velocity

field

and Dirichlet boundary conditions

$(\theta=0)$

for the temperature field

on

the

surfaces

$z=0$

,

$\pi$

,

respectively.

Furthermore,

we assume

the following

evenness

and

oddness conditions:

$u(x, z)=-u(-x, z)$ ,

$w(x, z)=w(-x, z)$

,

$\theta(x, z)=\theta(-x, z)$

.

We introduce the stream function

$\Psi$

, through the definition

$u=-\Psi_{z}$

,

$w=\Psi_{x}$

so

that

$u_{x}+w_{z}=0$

.

Cross-differentiating the equation of motion in

(3)

in order to eliminate

the

pressure

$p$

and

setting

$\Theta:=\sqrt{\mathcal{P}\mathcal{R}}\theta$

,

we

obtain

$\{$

$P\Delta^{2}\Psi$

$=$

$\sqrt{\mathcal{P}\mathcal{R}}\ominus_{x}-\Psi_{z}\Delta\Psi_{x}+\Psi_{x}\triangle\Psi_{z}$

in

$\Omega$

,

$-\Delta$

$=$

$-\sqrt{P\mathcal{R}}\Psi_{x}+\Psi_{z}_{x}-\Psi_{x}_{z}$

in

$\Omega$

.

(4)

From the boundary conditions imposed

above,

the

stream

function Iand departure of

tem-perature from linear profile

$$

can

be represented by the following double Fourier series:

$\Psi=\sum_{m=1}^{\infty}\sum_{n=1}^{\infty}A_{mn}\sin(amx)\sin(nz)$

,

$\ominus=\sum_{m=0}^{\infty}\sum_{n=1}^{\infty}B_{mn}\cos(amx)\sin(nz)$

.

(5)

By

(5),

we

introduce following function

spaces

for

$k\geq 0$

:

$X^{k}:= \{\Psi=\sum_{m=1}^{\infty}\sum_{n=1}^{\infty}A_{mn}\sin(amx)\sin(nz)|A_{mn}\in R$

,

$\sum_{m=1}^{\infty}\sum_{n=1}^{\infty}((am)^{2k}+n^{2k})A_{mn}^{2}<\infty\}$

,

$\mathrm{Y}^{k}:=\{\ominus=\sum_{m=0}^{\infty}\sum_{n=1}^{\infty}B_{mn}\cos(amx)\sin(nz)|B_{mn}\in R$

,

$\sum_{m=0}^{\infty}\sum_{n=1}^{\infty}((am)^{2k}+n^{2k})B_{mn}^{2}<\infty\}$

which

are

considered

as

closed

subspaces

of usual

$k$

-th order

Sobolev space

$H^{k}(\Omega)$

.

For

$M_{1}$

,

$N_{1}$

,

$M_{2}\geq 1$

and

$N_{2}\geq 0$

,

we

indicate arelation

$N:=(M_{1}, N_{1},M_{2}, N_{2})$

and

define

the

finite dimensional approximate

subspaces

by

$s_{N}^{(1)}$

$=$

$\{\Psi_{N}=\sum_{m=1}^{M_{1}}\sum_{n=1}^{N_{1}}\hat{A}_{mn}\sin(amx)\sin(nz)|\hat{A}_{mn}\in R\}$

,

$S_{N}^{(2)}$

$=$

$\{_{N}=\sum_{m=0}^{M_{2}}\sum_{n=1}^{N_{2}}\hat{B}_{mn}\cos(amx)\sin(nz)|\hat{B}_{mn}\in R\}$

,

$S_{N}$

$=$

$S_{N}^{(1)}\mathrm{x}S_{N}^{(2)}$

,

(4)

and denote

an

approximate

solution

of

(4)

by

$\text{\^{u}}_{N}$

$:=(\hat{\Psi}_{N},\hat{}_{N})\in S_{N}$

which

is

obtained by

an

appropriate

method. Then

setting

$\{$

$f_{1}(\Psi, \ominus)$

$:=$

$\sqrt{\mathcal{P}R}_{x}-\Psi_{z}\Delta\Psi_{x}+\Psi_{x}\Delta\Psi_{z}$

,

$f_{2}(\Psi, )$

$:=$

$-\sqrt{PR}\Psi_{x}+\Psi_{z}\ominus_{x}-\Psi_{x}_{z}$

,

$\Psi=\hat{\Psi}_{N}+w^{(1)}$

,

$=\hat{}_{N}+w^{(2)}$

,

(4)

is

rewritten

as

the problem

to

find

$(w^{(1)}, w^{(2)})\in X^{4}\cross \mathrm{Y}^{2}$

satisfying

(6)

$\{_{-\Delta w^{(2)}}^{\mathcal{P}\Delta^{2}w^{(1)}}==f_{2}(\hat{\Psi}_{N}+w(1)^{\wedge},\ominus_{N}+w^{(2)})+\Delta\hat{}_{N}f_{1}(\hat{\Psi}_{N}+w^{(1)^{\wedge}},\ominus_{N}+w^{(2)})-\mathcal{P}\Delta^{2}\hat{\Psi}_{N}$

inin

$\Omega\Omega.$

Note

that

$(w^{(1)}, w^{(2)})$

is

expected to

be small

if

$\text{\^{u}}_{N}$

is

an

accurate

approximation.

Defining

$w$

$=$

$(w^{(1)},w^{(2)})$

,

$h_{1}(w)$

$=$

A

$(\hat{\Psi}_{N}+w^{(1)},\hat{\Theta}_{N}+w^{(2)})-\mathcal{P}\Delta^{2}\hat{\Psi}_{N}$

,

$h_{2}(w)$

$=$

$f_{2}(\hat{\Psi}_{N}+w^{(1)},\hat{\Theta}_{N}+w^{(2)})+\Delta\hat{}_{N}$

,

$h(w)$

$=$

$(h_{1}(w), h_{2}(w))$

,

by

virtue of

Sobolev

embbeding theorem and

the

definition

of

$f1$

and

$f_{2}$

,

$h$

is abounded

continuous map fro

$\mathrm{m}$

$X^{3}\cross \mathrm{Y}^{1}$

to

$X^{0}\cross \mathrm{Y}^{0}$

.

Moreover,

it is

easily

shown that for

all

$(g_{1}, g_{2})\in$

$X^{0}\cross \mathrm{Y}^{0}$

,

the

linear

problem:

$\{$

$\Delta^{2}\overline{\Psi}$

$=$

$g_{1}$

in

$\Omega$

,

$-\Delta\overline{\Theta}$

$=$

$g_{2}$

in

$\Omega$

(7)

has aunique solution

$(\overline{\Psi},\overline{\Theta})\in X^{4}\cross \mathrm{Y}^{2}$

.

When this

mapping is

denoted by

$\overline{\Psi}=(\Delta^{2})^{-1}g_{1}$

and

$\overline{\Theta}=(-\Delta)^{-1}g_{2}$

,

an

operator:

$\mathcal{K}:=(\mathcal{P}^{-1}(\Delta^{2})^{-1}, (-\Delta)^{-1})$

:

$X^{0}\cross \mathrm{Y}^{0}arrow X^{3}\cross \mathrm{Y}^{1}$

is acompact

map

because

of

the compactness

of

the

imbedding

$H^{4}(\Omega)arrow H^{3}(\Omega)$

,

$H^{2}(\Omega)rightarrow$

$H^{1}(\Omega)$

and the boundedness

of

$(\Delta^{2})^{-1}$

:

$X^{0}arrow X^{4}$

,

$(-\Delta)^{-1}$

:

$\mathrm{Y}^{0}arrow \mathrm{Y}^{2}$

.

Therefore,

(6)

is

rewritten

by afixed-point equation:

$w=Fw$

(8)

for

the compact operator

$F:=\mathcal{K}\circ h$

on

$X^{3}\cross \mathrm{Y}^{1}$

,

and

Schauder’s

fixed-point theorem asserts

that,

for

anonempty, closed,

bounded and

convex

set

$W\subset X^{3}\cross \mathrm{Y}^{1}$

,

if

$FW\subset W$

(9)

holds,

then

there

exists

afixed-point

of

(8)

in

$W$

.

Aconcrete

computer algorithm to construct

acandidate set

$W$

which

satisfies

(9)

is proposed in [7].

3Numerical

Examples

In the

verification

step,

interval arithmetic is used

to

take account

of the

effects

of rounding

errors

in the

floating

point computations.

We

use

Fortran

90

library

$\mathrm{I}\mathrm{N}\mathrm{T}\mathrm{L}\mathrm{I}\mathrm{B}_{-}90$

coded by

Kearfott

[5]

with

DIGITAL

Fortran

V5.4-1283

on

Compaq Alpha

Server

GS320

(Alpha

21264

731MHz; Tru64

UNIX

V5.1)

(5)

3.1

The

trivial

solution

It is clear that the problem

(4)

has

atrivial

solution

$\Psi=\ominus=0$

for

all

$\mathcal{P}$

and

71.

Fig.2

shows

the isotherm of the temperature

$T+ \delta T-\frac{\delta T}{h}z$

when

$T=0$

and

$\delta T=5$

.

Fig.2 The isotherm of the temperature: stationary solution.

It

is

known

that for small

7?

the fluid conducts

heat

diffusively, and at acritial point

$Rc$

,

heat

is transposed through the fluid by

convection.

It

has

been shown by Joseph [4] that

(3)

has

aunique

trivial solution for

$\mathcal{R}<\prime \mathcal{R}c$

.

However,

the global

structure

of

bifurcated solutions

after

the

critical Rayleigh point

$Rc$

has

not been known theoretically.

3.2

First

bifurcated

solutions from the trivial solution

In 1916, Rayleigh [6]

considered

the linearized stability and found the critical Rayleigh number

as

follows

$\mathcal{R}_{C}=\inf_{m,n}\frac{(a^{2}m^{2}+n^{2})^{3}}{a^{2}m^{2}}=6.75$

$(m=1, n=1, a=1/\sqrt{2})$

.

The

usual bifurcation

theory

implies

that the stationary

bifurcation

occurs

from the above

critical point. We select

$a=1/\sqrt{2}$

and

$\mathcal{P}$

$=10$

in the following numerical experiments. After

the

critical Rayleigh number

$\mathcal{R}c=6.75$

,

we

obtain two non-trivial approximate solutions for

various Rayleigh numbers

72

of the form:

$M_{1}$

$N_{1}$

$M_{2}$

$N_{2}$

$\hat{\Psi}_{N}=\sum\sum\hat{A}_{mn}\sin(amx)$

$\sin(nz)$

,

$\hat{}_{N}=\sum\sum\hat{B}_{mn}$

COS

$\{Amn\}$ $\sin(nz)$

$m=1n=1$

$m=0n=1$

for

some

Mi,

$M_{2}$

,

$N_{1}$

and

$N_{2}$

by

Fourier-Galerkin

method combined with Newton-Raphson

iteration.

Fig.3 shows the velocity field

$(-(\hat{\Psi}N)_{z}, (\hat{\Psi}_{N})_{x})$

at

$R$

$=50$

,

$\mathcal{P}=10$

,

$M_{1}=N_{1}=M_{2}=$

$N_{2}=10$

, respectively.

We

illustrate the particular value

of

coefficients,

under the figures, which

has

the maximum absolute value in

$\{\hat{A}_{mn}\}$

and

$\{\hat{B}_{mn}\}$

,

respectively.

$arrow\simarrow---arrow\sim--\simarrowarrow-arrowarrow-$

$\dagger I||/’\prime_{lr-\backslash }J’\simrightarrow\sim\backslash \backslash ’arrowarrowarrowarrow\sim\backslash$

$\backslash \{:,’\wedge-arrowarrow-\sim\backslash \backslash \backslash x_{4\mathrm{t}}^{arrow\sim\sim\backslash }|\dagger I$ $|/\prime\prime\prime\sim-arrowarrowarrow-\backslash \wedge\simarrow-\backslash \backslash \prime\prime-\backslash ^{\iota 1}\iota\{|\dagger d’/d,,\sim\backslash l’\sim\sim\sim\sim\backslash \backslash |’arrowarrowarrow-arrow\sim\backslash$

$|\dagger‘\backslash \sim\simarrowarrowarrow\vee’\backslash \backslash \backslash -\sim\sim\{\iota_{\backslash \backslash -\prime}^{\backslash }\prime\prime\prime \iota^{\mathrm{t}}\prime\prime\downarrow \mathrm{I}\}\}\backslash \mathrm{I}\prime \mathrm{I}’\backslash \backslash -\sim\sim\backslash arrowarrowarrowarrow\sim\backslash -\prime pl,$

$t-\backslash \backslash \prime\prime\prime/\dagger \mathrm{f}$

$|\dagger$

},

$’ \dagger’\backslash \wedge-\prime d/,\mathrm{t};\backslash \simarrowarrowarrowarrowarrow\vee d\backslash \backslash \backslash -\prime\prime\sim\sim\backslash \backslash \backslash arrowarrow-\cdotarrow-’|\backslash \backslash -\sim\sim\dagger\iota_{\iota_{\backslash \neg\prime}}^{\tau\}}\bigwedge_{J/}’\dagger\dagger|\dagger$

,

$-\simarrow---arrow\sim$

$\hat{A}_{11}\approx 15.37$

$\hat{A}_{11}$

z-15.37

Fig.3 The velocity field of the first bifurcated solution.

(6)

Fig.4 shows the isotherm of the temperature

$\theta’=\delta T(1-z/\pi-\ominus/\sqrt{R\mathcal{P}}\pi)+T$

when

$T=0$

,

$\delta T=5$

.

Fig.4

The isotherm

of the temp

3.3

Second bifurcated solutions from

the

trivial solution

After

the Rayleigh number

$R$

$= \frac{(a^{2}m^{2}+n^{2})^{3}}{a^{2}m^{2}}=13.5$

$(m=2,n=1, a=1/\sqrt{2})$

,

we

obtain two non-trivial approximate

solutions

which

are

expected

to be second bifu

solutions ffom

the trivial solution. Fig. and

Fig.6

show the velocity

field

at

$72=5\mathrm{t}$

$10$

,

$M_{1}=N_{1}=M_{2}=N_{2}=10$

and the isotherm of the

temperature,

respectively

(7)

$\sim\sim\simarrow\wedge$

$-arrow\vee\wedge-$

$\sim\sim\veearrow-$

$-arrow\vee\wedge-$

$’||,\prime\prime\prime \mathrm{t}$

$’-,\wedge\cdot,,I\prime\prime\sim-l,\backslash ,\prime\prime-arrowarrow,I‘’\vee\sim,\sim\backslash ’\prime\prime-\backslash ^{1}\iota-\mathrm{I}|_{\iota,\dagger}^{l^{-\prime\prime}}l’,4\downarrow\iota_{-\dagger|\mathrm{I}_{\backslash -\prime d\backslash \backslash }\backslash }-\iota \mathfrak{l}|_{4-\prime}\dagger\downarrow-\mathrm{t}^{\backslash -r\downarrow\dagger\backslash }-dl\mathrm{t}\backslash -’-\backslash \sim\sim\vee\sim--\sim\vee\wedge--’\sim\sim\sim--arrowarrowrightarrow-\sim\prime I\backslash \backslash arrow\wedge\backslash \wedge\vee\vee I\backslash \backslash \sim-\backslash \backslash \prime\prime\dagger \mathrm{t}\backslash -\backslash ^{\grave{\mathrm{t}\mathrm{t}}\iota\grave{\iota}ll_{\vee-\backslash \prime}}\iota_{4-\prime}^{d-\backslash }\backslash \backslash ’-\backslash |||’t’\mathrm{t}\mathrm{t}_{\backslash -\prime l\iota\downarrow-\prime_{l}}^{\prime-^{4}1|1\iota_{-\dagger|}}-\backslash \downarrow|\downarrow l-\backslash ||-\prime\prime\prime|\backslash$

,

$\hat{A}_{21}$

z-7.026

$\hat{A}_{21}\approx 7.026$

Fig.5 The velocity field

of

the

second bifurcated solution.

$7?=14$

$72=20$

$72=30$

$72=40$

$72=50$

$72=60$

Fig.6 The isotherm of the temperature for the second bifurcated solution.

3.4

Third

bifurcated solutions from

the trivial

solution

After the Rayleigh number

$R$ $= \frac{(a^{2}m^{2}+n^{2})^{3}}{a^{2}m^{2}}=1331/36$

$(m=3, n=1, a=1/\sqrt{2})$

,

we

obtain two non-trivial approximate solutions which

are

expected

to be

third

bif

solutions from the trivial solution. Fig. and Fig.8 show the velocity field at

$\mathcal{R}=!$

$10$

,

$M_{1}=N_{1}=M_{2}=N_{2}=10$

and the isotherm of the temperature, respectively

(8)

$\dagger\downarrow,\mathrm{t}_{\backslash }|\mathrm{t}|\prime\prime\backslash \prime\prime\prime\backslash ’-\sim\prime\prime^{4l}4’\backslash \sim\prime\prime’\iota\backslash -",’\prime\prime\iota_{l1}^{\downarrow\dagger^{4_{r\backslash }}}\vee\backslash 4-\iota\iota_{i^{\backslash \prime}\dagger}’\sim\backslash ’,\iota\iota_{l_{d\prime\prime}}^{d,\backslash }\downarrow|l\backslash \prime\prime\iota_{1}^{||}’\prime\prime\dagger$$\mathrm{t}^{-4},\prime\prime|,,|,\cdot,,,,|\dagger\prime^{\backslash 4}\iota\iota_{\iota-}\dagger \mathrm{t}_{\backslash \prime}^{\prime r_{d}\iota\prime}\downarrow \mathrm{t}\backslash \prime\prime-\backslash 1d-14\backslash \prime\prime\wedge-\grave{\iota}l1l\vee\sim\backslash ’\backslash -\prime d\iota\backslash -’\backslash \sim-’\prime\prime\backslash -\prime 4\iota_{\backslash -\backslash \vee}I\iota_{\backslash \prime}\prime^{1}-\backslash -1\iota\iota^{\prime-\prime\prime\prime}4|1^{d\sim,}\dagger’\backslash ^{\iota\downarrow,\backslash }\iota\dagger^{l}\downarrow t_{1\prime}^{4\backslash }’\dagger\dagger^{\iota_{4}},t\downarrow^{4\prime}\mathrm{t}|4\backslash \backslash -,\prime\prime\prime\backslash \downarrow\prime\prime\prime|\mathrm{t}’\backslash ’$

$I\backslash \neg-\prime\prime\backslash -\prime\prime 1\backslash -\prime\prime\backslash \backslash \cdot\prime 4\backslash -\prime\prime\backslash \prime\prime I---\sim---arrow---\mathrm{I}_{-\sim\vee}\ddagger--$

$\hat{A}_{31}\approx$

-2.029

$A\wedge 31\approx 2.029$

Fig.7 The velocity

field

of the third

bifurcated

solution.

$R$

$=37$

$72=40$

$72=50$

$7?=60$

Fig.8 The isotherm

of

the temperature for

the third

bifurcated

solution.

3.5

Another non-trivial solutions

We also

obtain

four different non-trivial

approximate solutions

after

$R$

$=32.5$

.

According to

this

observation,

we

expected

the

existence of another

bifurcated

solutions

from

the

non-trivial

solutions which

seem

to

be

on

the second

bifurcation

branch

(cf.Fig.11).

For example,

we

observed

the phenomena

as

shown in Fig.9 and Fig.10

for

the

case

that

$R$

$=50$

,

$\mathcal{P}$

$=10$

,

$M_{1}=$

$N_{1}=M_{2}=N_{2}=10$

.

$-\vee\vee\vee\vee----\cdot$

-

\sim \sim \sim \sim \sim

-$|4d’-\sim\backslash \prime\prime\wedge\sim\sim".\cdot\iota’\sim\sim\sim\prime 1\prime\prime\prime\prime\prime\grave{\iota}l\backslash |\prime 1_{1\prime}^{4\sim}|’.,I^{\cdot}.I-\backslash \prime\prime\wedge\prime\prime\prime\prime\prime-^{\grave{\iota}_{l}}I’\iota\backslash _{|}1\sim_{d}\iota_{-\prime}^{\backslash \prime\prime}\backslash -’\downarrow_{\mathrm{t}}\backslash \downarrow-’||\prime \mathrm{t}\backslash \prime\prime\prime\backslash \cdot 4I1|\dagger\backslash \backslash ’\grave{\iota\iota_{1}}l\acute{l}’-\downarrow_{l,\sim}\sim\backslash \backslash \backslash \prime\prime\grave{\iota}I\iota\iota’\backslash \backslash \backslash ’\iota_{\prime\prime j1}\prime r^{1}\backslash ^{\iota\iota}\iota$ $\iota\iota^{1\prime}\iota_{\backslash -\prime\prime\prime\backslash -\prime\prime\prime}^{\iota\prime\prime^{I1\sim 4/}}\mathrm{t}\prime\prime"\backslash \prime v\iota\dagger\iota\prime \mathrm{t}\prime^{\iota\iota}\prime\prime\prime\acute{\iota}\prime\prime\prime\sim,\backslash \mathrm{i}\iota\acute{\iota}’\cdot\grave{\iota}\iota d’\backslash \prime\prime\prime\prime\prime\dagger\ell,\iota\iota\backslash \backslash \grave{\iota_{l1}}\downarrow|\backslash \backslash \prime\prime\backslash ^{l4\prime\prime\prime-\backslash _{|}}[l_{d,\wedge\backslash }^{--\backslash \backslash \backslash \prime}’\sim\sim\wedge\sim\backslash \prime\prime-\prime\prime\prime I-\simprime\prime-\sim\sim\cdot\iota’-4Il\backslash \backslash -\prime d\prime lI\backslash s-\neg$

$\iota\backslash -’\backslash \sim\sim\sim\sim-\prime\prime\prime\backslash \backslash \sim\prime\prime 1\backslash .-rightarrow\wedge’\prime\prime\wedge-.\prime\prime\backslash .’\backslash \backslash ’\backslash \cdot 1\iota.\prime\prime---\vee\sim\vee\vee\vee-\wedge\veearrow\wedge\sim--\cdot-l\mathrm{t}\backslash \cdot lI$ $\iota\backslash ‘\cdot-\vee\wedge\prime\prime-,--\backslash -’.\iota-\wedge\sim\sim\sim\sim-\backslash --\cdot\prime 1\backslash \backslash arrow-\prime\prime\prime\backslash \cdot lI\backslash -\prime\prime---\vee\sim\sim\sim\sim-\backslash \backslash \sim\sim\sim\prime 1’\backslash \backslash \sim\prime r\prime l$

$\prime\prime-\backslash ^{Id\prime r}\sim\sim\backslash \backslash \prime\prime\prime\prime\prime---\backslash r\prime\prime\sim\simarrow\sim\backslash \prime\prime\cdot\simrightarrow\sim\cdot\overline{\iota}\cdot.\backslash ’\sim--\vee\sim\sim\sim\sim--\wedge\vee\vee\vee\sim-\sim.-\wedge\sim\backslash \backslash \grave{\iota}\iota_{d\backslash ’}’$ $\prime\prime-arrow\sim\sim\sim\sim.--\cdot\cdot---\vee\vee\vee\vee\vee--\sim\simarrow 1l-\backslash \prime\prime\prime\prime\prime.\sim.\backslash \grave{\iota}\iota d\cdot\backslash \prime\prime-\grave{\mathrm{t}}Idl’-\sim\backslash \backslash \vee 4’\vee\sim\sim\sim\sim\backslash ’$

,

$”\backslash \wedge’‘ I\iota\backslash \backslash \cdot\sim’ \mathrm{t}"\backslash ’\backslash \sim\vee\prime\prime \mathrm{t}’|\prime\prime d\prime\prime\prime’\backslash -’--\sim---arrow\sim\sim\sim--\sim\sim\sim\sim--4\backslash \backslash arrow\vee\sim\wedge l\backslash \wedge\sim\sim\prime\prime\prime’\backslash 4^{1\iota.\dagger}\prime\prime\prime-\iota|ld,-\backslash ’\sim’\iota\downarrow\iota_{\iota_{\backslash }\prime}\prime\prime\iota\downarrow\downarrow l_{4r\backslash \prime\backslash }\iota_{ll}^{l\mathrm{t}}\mathrm{t}l\backslash ||\prime\prime\backslash \backslash ’\prime\prime\dagger\prime\prime \mathrm{t}\backslash \backslash ’\sim r’$$41.\cdot\prime 2Il_{4\sim}^{4-\prime}\backslash \backslash \prime l_{1}’--\backslash -,’\prime\prime\prime\prime\prime\prime\prime\prime$

,

$\prime\prime\int_{\prime}^{1}t|’-\backslash |\backslash ’,\backslash ^{\sim r’}‘,’ i\prime l.\iota’\prime\prime.’\prime\prime\prime\prime\prime\backslash --\prime 4\sim\sim\vee\vee---,---\wedge\cdot\sim.\sim\sim-\sim\vee\simarrow\prime r\mathrm{t}\backslash -’\backslash -\prime d\backslash \backslash arrow\vee\wedge\prime\prime\prime-\backslash ll\backslash \prime d^{l\downarrow l}\backslash ^{\iota^{ll}4\sim \mathrm{z}}l\prime\prime’\mathrm{i}^{ll\iota_{4_{\vee\backslash }}^{-\backslash }}\prime\prime\prime\backslash -\backslash \wedge\prime 1\mathrm{t}\backslash \backslash 4-\prime\prime\prime-\backslash \backslash 4l\iota\backslash \backslash \cdot’\dagger\prime\prime\prime\backslash |l\iota\iota_{\mathrm{t}\prime}\dagger lld,\wedge’\backslash ||\prime\prime$

Fig.9 The velocity field

of

the another non-trivial solution.

(9)

$R$

$=33$

$R$

$=35$

$72=40$

$R$

$=50$

$R$

$=60$

Fig.

10

The isotherm of the temperature

for

the another non-trivial solutions.

3.6

Verification

Results

We actually

succeeded

to verify the

exact

solutions of

(4)

corresponding to the approximate

solutions in Fig.9 and Fig.10,

as

in Fig.11. The vertical axis shows the absolute value of the

coefficient

of the approximate solution:

$\ominus_{N}\wedge=\sum_{m=0}^{M_{2}}\sum_{n=1}^{N_{2}}\hat{B}_{mn}\sin(amx)\sin(nz)$

.

Each

dot

implies that the

verification

procedure

are

succeeded.

$arrow R/R_{C}$

Fig.

11

The

bifurcation

curve.

Table 1shows the

error

bounds

when

$\mathcal{R}=60$

,

$\mathcal{P}=10$

,

$N:=M_{1}=M_{2}=N_{1}=N_{2}$

.

There

exist the solution

$(\Psi, \Theta)\in X^{3}\cross \mathrm{Y}^{1}$

of

(4)

in

$\Psi\in\hat{\Psi}_{N}+W_{N}^{(1)}+W_{*}^{(1)}$

,

$\in\ominus_{N}+W_{N}^{(2)}+W_{*}^{(2)}\wedge$

.

Table 1. Verification

results;

$72=60$

,

$\mathcal{P}=10$

(10)

Prom

our

verification

results

we

cannot decide whether the verified solutions

are

really

bifur-cated

or

simply isolated solutions.

We

also cannot

say for

certain

whether

the

verified

solutions

are

continuous for

the Rayleigh number

or

locally unique in

the candidate

sets. These questions

must

be solved in

our

future works.

参考文献

[1]

Chandrasekhar, S.:

Hydrodynamic and Hydromagnetic Stability,

Oxford University

Press,

1961.

[2]

Curry, J.

H.:

Bounded solutions

of

finite dimensional

approximations

to

the

Boussinesq

equations,

SIAM

J. Math. Anal. 10,

pp.71-79

(1979).

[3]

Getling, A. V.:

Rayleigh-Benard

Convection: structures

and

dynamics,

Advanced

series in

nonlinear dynamics

$\mathrm{V}\mathrm{o}\mathrm{I}.\mathrm{I}\mathrm{I}$

, World

Scientific,

1998.

[4] Joseph,

D. D.:

On

the stability

of

the

Boussinesq

equations, Arch.

Rational

Mech.

Anal.

20,

pp.59-71

(1965).

[5] Kearfott,

R.

B., and Kreinovich, V., Applications

of

Interval Computations,

Kluwer

Aca-demic

Publishers, Netherland,

1996.

(http:

$//\mathrm{i}\mathrm{n}\mathrm{t}\mathrm{e}\mathrm{r}\mathrm{v}\mathrm{a}\mathrm{l}$

.

$\mathrm{u}\mathrm{s}\mathrm{l}.\mathrm{e}\mathrm{d}\mathrm{u}/\mathrm{k}\mathrm{e}\mathrm{a}\mathrm{r}\mathrm{f}\mathrm{o}\mathrm{t}\mathrm{t}$

html)

[6] Rayleigh,

J. W.

S.:

On

convection currents in ahorizontal

layer

of

fluid, when the higher

temperature

is

on

the under

side, The London, Edinburgh and Dublin Philosophical

Maga-zine

and

Journal

of

Science, Ser.6,

$\mathrm{V}\mathrm{o}\mathrm{l}.32$

,

$\mathrm{p}\mathrm{p}.529-546$

(1916);

and

Scientific

Papers,

$\mathrm{V}\mathrm{o}\mathrm{l}.6$

,

$\mathrm{p}\mathrm{p}.432\triangleleft 46$

(1920).

[7]

渡部善隆

,

中尾充宏

,

山本野人

,

酉田孝明:

Rayleigh-B6nard

対流の定常解に対する精度保

証付き数値計算,

短期共同研究・精度保証付き数値計算法とその周辺

,

京都大学数理解析研究

所講究録

,

$\mathrm{V}\mathrm{o}\mathrm{l}.1147$

(2000)

pp.132-136

Fig. 10 The isotherm of the temperature for the another non-trivial solutions.

参照

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