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Some Results by Energy Methods on Large-Time Behavior of Viscous Gas

Akitaka Matsumura (Osaka University)

”Nonlinear Evolution Equations and Related Topics”

Kyoto Universiy, March 9-11, 2015

(2)

Introduction

A model system of viscous gas

 

 

 

 

 

ρ

t

+ ∇ · (ρu) = 0, u

t

+ u · ∇ u + 1

ρ ∇ p = µ

ρ ∆u + µ + λ

ρ ∇ ( ∇ · u), p = p(ρ) = aρ

γ

,

(1)

where t 0, x Rn(n = 1, 2, 3), µ > 0, µ + λ > 0, a > 0, γ 1.

Consider the Cauchy problem for (1) with the initial data

(ρ, u)(0) = (ρ

0

, u

0

). (2)

(3)

Two papers :

Nishida-M (1980) , J. Math. Kyoto Univ.,

asymptotic stability of constant states in R3, R2

Nishihara-M (1985) , Japan J. Appl. Math., asymptotic stability of traveling waves in R1

Topic 1.

(joint work with T. Maeda)

Nishida-M (1980), x R2 or R3, ρ >¯ 0

(ρ0 ρ, u¯ 0) H3, small = ( ¯ρ, 0) is asymptotically stable.

Since then, Hoff ( ¯ρ > 0), Feireisl, Lions ( ¯ρ = 0), . . . , Z.Xin-J.Li- X.Huang ( ¯ρ ≥ 0), . . .

(4)

Our present aim

Consider the asymptotic stability of an unbounded state ρ = P = ρ¯

1 + t, u = U = ( x1

1 + t, 0).

Theorem 1.

Suppose

x ∈ R

2

, p = aρ

, and

a − (2µ + λ)

¯

ρ > 0

. Then, there exists a ε0 > 0 such that if ρ0ρ, u¯ 0(x1,0)H2 ε0, the Cauchy problem (1),(2) has a unique global solution in time (ρ, u), satisfying (ρP, u U) C([0, +); H2) and

sup

xR2

| ρ(t, x) − ρ ¯

1 + t | ≤ C (1 + t)

32

, sup

xR2

| u(t, x) − ( x

1

1 + t , 0) | ≤ C (1 + t)

12

.

(5)

Remarks

The proof is given by a combination of changing the variable x1 along a characteristic curve and using a time-weighted energy method .

For R3 , the similar results hold in H3 with the asymptotics sup

xR3

| ρ P | ≤ C(1 + t)2, sup

xR3

| u U | ≤ C(1 + t)1.

Open problems

– Isentropic case : p = γ, (γ > 1)

– Full system case : p = Rρθ, e = γR1θ ρ = P = ρ¯

1 + t, u = U = ( x1

1 + t, 0), θ = 2µ + λ Rρ¯ .

(6)

Topic 2.

(joint work with Yang Wang)

Asymptotic stability of traveling wave solutions in R System in Lagrange coordinates :

 

 

 

 

v

t

− u

x

= 0,

u

t

+ p

x

= (µ u

x

v )

x

, p = p(v ) = av

γ

.

Traveling wave solution (viscous shock wave):

(v, u) = (V, U)(x st), (V, U)(±∞) = (v±, u±) It exists under the Rankine-Hugoniot and entropy conditions.

(7)

Known results (µ : a positive constant)

Nishihara-M (1985)

C(v, γ) > 0 with C → ∞ as γ 1 such that if

| v

+

− v

| ≤ C (v

, γ ),

then (V, U)(x st) is asymptotically stable for small initial pertur- bations with integral zero, that is,

(v0 V )(x) dx =

(u0 U)(x)dx = 0.

– For γ = 1, any large viscous shock wave is OK!.

– For γ > 1, a restriction on the amplitude is imposed.

(8)

Mascia-Zumbrun(2004), Liu-Zeng(2009)

|v+ v| : suitably small = asymptotic stability

for general initial perturbations whose integrals are not necessarily zero.

Barker-Humpherys-Laffite-Rudd-Zumbrun (2008), Humpherys-Laffite-Zumbrun (2010)

|v+ v| : suitably large = asymptotic stability

They also carried out numerical studies which indicate the asymptotic stability for intermediate amplitude as well.

(9)

Our present aim

Consider the case µ = µ(v) > 0.

In the Chapman-Enskog expansion theory in rarefied gas dynamics (cf.

Chapman-Cowling (1970)), the viscosity coefficient is given by a func- tion of the absolute temperature θ.

Typical two examples :

{ µ = ¯µ θ12, Hard sphere Model, µ = ¯µ θ

1

2+ 2

(s1), Cut-off inverse power force Model, where s ( 5) and ¯µ (> 0) are some constants.

The above two models are unified as

µ = ¯ µ θ

β

(β ≥ 1

2 ).

(10)

Since our model is isentropic,

p = R θ

v = a v

γ

, (R : gas constant)

which implies

θ = a

R v

(γ1)

.

Hence,

µ = µ

0

v

(γ1)β

(β ≥ 1

2 , µ

0

= ¯ µ( a

R )

β

).

Thus, we assume

(A) µ = µ(v ) = µ

0

v

α

(α ≥ 1

2 (γ − 1), µ

0

> 0).

(11)

Cauchy problem :

 

 

 

 

v

t

− u

x

= 0,

u

t

+ p

x

= µ

0

( u

x

v

α+1

)

x

, (α ≥

12

(γ − 1)) p = p(v) = av

γ

(3)

with the initial and far field conditions

 

(v, u)(0, x) = (v

0

, u

0

)(x),

x→±∞

lim (v, u)(t, x) = (v

±

, u

±

). (4)

(12)

Assumptions on initial data

(v0 V, u0 U) H1 L1,

xinfRv0(x) > 0,

(v0 V )(x) dx =

(u0 U)(x) dx = 0.

Setting

ϕ0(x) =

x

−∞

(v0 V )(y)dy, ψ0(x) =

x

−∞

(u0 U)(y) dy, we further assume

(ϕ0, ψ0) L2. ( (ϕ0, ψ0) H2)

(13)

Theorem 2.

Suppose α 12(γ 1). Then, there exists a ε0 > 0 such that if ϕ0, ψ02 ε0, the Cauchy problem (3),(4) has a unique global solution in time (v, u), satisfying (v V, u U) C([0, ); H1) and

sup

xR

| (v, u)(x, t) − (V, U )(x − st) | → 0 (t → ∞ ).

Remarks

In the proof, the essetial a priori estimate is given by a technical weighted energy method, “double step weighted energy method”, developed by Mei-M (1997) and Hashimoto-M (2007).

Open problem

Full system case :

µ = ¯µ θβ, λ = ¯λ θβ, κ = ¯κ θβ (β 1 2).

(14)

Sketch of the proof of Theorem 1

Write x = (x, y) R2 and assume ¯ρ = 1, µ + λ = 0 for simplicity.

Cauchy problem :

 

 

 

 

 

 

 

 

ρ

t

+ (ρu

1

)

x

+ (ρu

2

)

y

= 0, u

1t

+ (u

1

u

1x

+ u

2

u

1y

) + 1

ρ p

x

− µ

ρ (u

1xx

+ u

1yy

) = 0, u

2t

+ (u

1

u

2x

+ u

2

u

2y

) + 1

ρ p

y

− µ

ρ (u

2xx

+ u

2yy

) = 0, p = aρ

with the initial data

(ρ, u1, u2)(0, x, y) = (ρ0, u1.0, u2.0)(x, y), (x, y) R2.

(15)

Change the unknown variables : (ρ, u1, u2) (η, ϕ, ψ) ρ = (1 + η)

1 + t , u1 = x

1 + t + ϕ, u2 = ψ.

System for (η, ϕ, ψ) :























ηt + x

1 + tηx + ((1 + η)ϕ)x + ((1 + η)ψ)y = 0, ϕt + x

1 + tϕx + 1

1 + tϕ + ϕϕx + ψϕy + a

1 + ηηx µ(1 + t)

1 + η (ϕxx + ϕyy) = 0, ψt + x

1 + tψx + ϕψx + ψψy + a

1 + ηηy µ(1 + t)

1 + η (ψxx + ψyy) = 0, (η, ϕ, ψ)(0, x, y) = (η0, ϕ0, ψ0)(x, y).

(16)

Characteristic curve w.r.t. x





dx(t)

dt = x(t) 1 + t, x(0) = ˜x

= x = x(t) = (1 + tx.

Change of variable x : x = (1 + tx

∂x = 1 1 + t

x˜,

∂t + x 1 + t

∂x =

∂t





















˜

ηt + ((1 + ˜η) ˜ϕ)x˜

1 + t + ((1 + ˜η) ˜ψ)y = 0, ϕ˜t +

ϕ˜

1 + t +

ϕ˜ϕ˜x˜

1 + t + ˜ψϕ˜y + a 1 + t

˜ ηx˜

(1 + ˜η) µ 1 + ˜η

( ϕ˜x˜x˜

1 + t + (1 + t)ϕ˜yy )

= 0, ψ˜t +

ϕ˜ψ˜x˜

1 + t + ˜ψψ˜y + a

1 + ˜ηη˜y µ 1 + ˜η

( ψ˜x˜x˜

1 + t + (1 + t)ψ˜yy )

= 0.

(17)

Reformulated problem :

 

 

 

 

 

 

 

 

 

 

 

η

t

+ 1

1 + t ϕ

x

+ ψ

y

= N

0

, ϕ

t

+ 1

1 + t ϕ + a

1 + t η

x

− µ

( 1

1 + t ϕ

xx

+ (1 + t)ϕ

yy

)

= N

1

, (5) ψ

t

+ aη

y

− µ

( 1

1 + t ψ

xx

+ (1 + t)ψ

yy

)

= N

2

, (η, ϕ, ψ )(0) = (η

0

, ϕ

0

, ψ

0

) ∈ H

2

.

We look for the global solution in time of (5) such that (η, ϕ, ψ) C([0, ); H2), sup

(x,y)R2

|(η, ϕ, ψ)(t, x, y)| ≤ C(1 + t)12.

(18)

E(t) := (η, ϕ, ψ)(t)22+(1 + t)2(η, ϕ, ψ)y(t)21+(1 + t)4(η, ϕ, ψ)yy(t)2. Proposition 3 (a priori estimate). Suppose a µ > 0. Then there exist positive constants ε0 and C0 such that if (η, ϕ, ψ) C([0, T]; H2) is the solution of the Cauchy problem (5) for some T > 0 and sup

t[0,T]

E(t) ε0 it holds that

(η, ϕ, ψ)(t)22 + (1 + t)2(η, ϕ, ψ)y(t)21 + (1 + t)4(η, ϕ, ψ)yy(t)2 +

t

0

( 1

1 + τ ϕ(τ)2 + 1

1 + τ (ϕ, ψ)x(τ)22 + (1 + τ)(ϕ, ψ)y(τ)22 )

+

t

0

((1 + τ)3(ϕ, ψ)yy(τ)21 + (1 + τ)5(ϕ, ψ)yyy(τ)2)) +

t

0

( 1

1 + τ ηx(τ)21 + (1 + τ)ηy(t)21 + (1 + τ)3ηyy(τ)2 )

C0(η0, ϕ0, ψ0)22, t [0, T].

(19)

Decay estimates sup

(x,y)R2

|η(t, x, y)|2

∫∫

|(2ηηx)y| dxdy

C(ηx∥∥ηy + η∥∥ηxy)

C(1 + t)1 which implies

sup

(x,y)R2

| ρ(t, x, y) 1

1 + t | ≤ C(1 + t)32,

and similarly

sup

(x,y)R2

| u(t, x, y) ( x

1 + t,0) | ≤ C(1 + t)12.

(20)

Basic energy estimate

Estimate (5) · (aη, ϕ, ψ) : 1

2 d dt

∫∫

(aη

2

+ ϕ

2

+ ψ

2

)dxdy +

∫∫ ( 1

1 + t ϕ

2

+ µ

1 + t (ϕ

2x

+ ψ

x2

) + µ(1 + t)(ϕ

2y

+ ψ

y2

) )

dxdy

=

∫∫

(aηN

0

+ ϕN

1

+ ψN

2

) dxdy.

(6)

(21)

Estimate (5)

2

· η

x

+ (5)

3

· (1 + t)η

y

: d

dt

∫∫ (

ϕη

x

+ (1 + t)ψη

y

+ 1

2a ψ

2

+ µ 2

(

η

x2

+ (1 + t)

2

η

y2

))

dxdy +

∫∫ ( a

1 + t η

x2

+ (a − µ)(1 + t)η

y2

)

dxdy

∫∫ ( 1

1 + t ϕ

2x

+ 2ϕ

x

ψ

y

+ (1 + t)ψ

y2

)

dxdy +

∫∫ ( µ

a(1 + t) ψ

x2

+ µ

a (1 + t)ψ

y2

+ 1

1 + t ϕη

x

)

dxdy (7)

=

∫∫ (

η

x

N

1

+ (1 + t)η

y

N

2

− ϕ

x

N

0

− (1 + t)ψ

y

N

0

+ 1

a ψN

2

+ µ (

η

x

N

0x

+ (1 + t)

2

η

y

N

0y

))

dxdy.

(22)

By (5), we can estimate

(η, ϕ, ψ)(t)2 +

t 0

( 1

1 + τ ϕ(τ)2 + 1

1 + τ (ϕ, ψ)x(τ)2 + (1 + τ)(ϕ, ψ)y(τ)2 )

dτ.

By combining (5) and (6), we can estimate

t 0

( 1

1 + τ ηx(τ)2 + (1 + τ)ηy(t)2 )

dτ.

Proceed the time-weighted estimates by

y

(5) · (1 + t)

2

(aη, ϕ, ψ )

y

, ∂

y2

(5) · (1 + t)

4

(aη, ϕ, ψ)

yy

,

y

(5)

2

· (1 + t)

2

η

xy

+ ∂

y

(5)

3

· (1 + t)

3

η

yy

.

(23)

Sketch of the proof of Theorem 2

Existence of viscous shock wave

Setting ξ = x st, and (v, u) = (V, U)(ξ), we have the ODE system



sVξ Uξ = 0,

sUξ + p(V )ξ = µ0( Uξ

V α+1)ξ,

with (V, U)(±∞) = (v±, u±). We only treat the case s > 0.

Integrating the system, we have



sV + U = sv± + u±,

sU + p(V ) µ0 Uξ

V α+1 = su± + p(v±), and the “Rankine-Hugoniot condition”

{s(v+ v) (u+ u) = 0,

s(u+ u) + p(v+) p(v) = 0.

(24)

Equation of V

 

 

V

ξ

= V

α+1

µ

0

s h(V ), ξ ∈ R, V ( ±∞ ) = v

±

where

h(V ) := s2(v V ) + p(v) p(V ) > 0, V (v, v±), and h(v±) = 0. Under the “entropy condition”

v < v+, (i.e. u > u+),

the solution V uniquely exists up to the shift of ξ, satisfying Vξ(ξ) > 0, v < V (ξ) < v+, ξ R,

and U is given by U = u± + s(v± V ).

(25)

Change of the variables : (x, t) → (ξ = x − st, t)

 

v

t

− sv

ξ

− u

ξ

= 0,

u

t

− su

ξ

+ p(v)

ξ

= µ

0

( u

ξ

v

α+1

)

ξ

.

Change of the unknown variables : Define (ϕ, ψ)(t, ξ) by

ϕ(t, ξ) =

ξ

−∞

(v V )(t, η)dη, ψ(t, ξ) =

ξ

−∞

(u U)(t, η)dη, that is,

v = V + ϕ

ξ

, u = U + ψ

ξ

.

(26)

Cauchy problem for (ϕ, ψ) :

 

 

ϕ

t

− sϕ

ξ

− ψ

ξ

= 0,

ψ

t

− sψ

ξ

+ p(V + ϕ

ξ

) − p(V ) = µ

0

( (U + ψ

ξ

)

ξ

(V + ϕ

ξ

)

α+1

− U

ξ

V

α+1

) ,

with the initial data

(ϕ, ψ)(0) = (ϕ

0

, ψ

0

) ∈ H

2

.

We look for the global solution in time such that (ϕ, ψ) C([0, ); H2), sup

xR |(ϕ, ψ)(t, x)| → 0 (t → ∞).

(27)

Proposition 4 (a priori estimate).

Suppose α ≥

12

(γ − 1). Then there exist positive constants ε

0

and C

0

such that if (ϕ, ψ) ∈ C ([0, T ]; H

2

) is the solution of the Cauchy problem for some T > 0 and

sup

t[0,T]

∥ (ϕ, ψ)(t) ∥

2

≤ ε

0

, it holds that for t ∈ [0, T ]

∥ (ϕ, ψ)(t) ∥

22

+

t

0

( ∥ ϕ

ξ

(τ ) ∥

21

+ ∥ ψ

ξ

(τ ) ∥

22

) dτ ≤ C

0

∥ ϕ

0

, ψ

0

22

.

(28)

A priori estimate

Rewrite the system as

 

ϕ

t

− sϕ

ξ

− ψ

ξ

= 0,

ψ

t

− sψ

ξ

− K (V )ϕ

ξ

− µ

0

V

α+1

ψ

ξξ

= G, (5)

where

K(V ) = p(V ) + (α + 1)h(V ) V , and

G = − {p(V + ϕξ) p(V ) p(V )ϕξ} + µ0{ 1

(V + ϕξ)α+1 1

V α+1}ψξξ + V α+1h(V ){− 1

(V + ϕξ)α+1 + 1

V α+1 α + 1

V α+2 ϕξ}.

(29)

Recall

s > 0, v < V < v+, Vξ = V α+1

µ0s h(V ) > 0, p(V ) = γp(V ) V , which implies

K(V ) γ p(v+) v+ . Basic energy estimate

There exists a positive constant C such that it holds that for t [0, T]

|| (ϕ, ψ)(t) ||2 +

t

0

(|| ψξ(τ) ||2+ ||

Vξψ(τ) ||2)

C{|| ϕ0, ψ0 ||2 +

t 0

|ψ||G| dξdτ}.

(30)

Proof

We use a technical weighted energy method, “double step weighted energy method”, developed by Mei-M (1997) and Hashimoto-M (2007).

First-Step : Introduce the functions (transform functions) χ1 = χ1(V ) > 0, χ2 = χ2(V ) > 0,

and transform the unknown variables

ϕ = χ

1

(V ) ˜ ϕ, ψ = χ

2

(V ) ˜ ψ.

Then we have



(χ1ϕ t s(χ1ϕ ξ (χ2ψ ξ = 0,

(χ2ψ t s(χ2ψ ξ K(χ1ϕ ξ µ0

V α+1(χ2ψ ξξ = G.

(31)

Second-Step :

Introduce the another set of functions (weight functions) W1 = W1(V ) > 0, W2 = W2(V ) > 0.

Multiply the first equation by W1ϕ, the second equation by˜ W2ψ˜ and sum them up. Then we have

d dt

1

2(W1χ1ϕ˜2 + W2χ2ψ˜2) +

s

2{(W1χ1 W1χ1) ˜ϕ2+(W2χ2 W2χ2) ˜ψ2}Vξ +

{(W1χ2 KW2χ1)Vξϕ˜ψ˜ + (W1χ2 KW2χ1) ˜ϕξψ˜} +

µ0( W2 V α+1

ψ ξ(χ2ψ ξ =

W2ψG dξ.˜

(32)

In order for the coefficients of the cross terms ˜ϕψ˜ and ˜ϕξψ˜ to banish, we impose that

W1χ2 KW2χ1 = 0, W1χ2 KW2χ1 = 0.

Choose χ1, χ2, W1 and W2 as

χ1(V ) = W1(V ) = 1, χ2(V ) = K(V )W(V ), W2(V ) = W(V ).

Then we have d

dt

1

2( ˜ϕ2 + KW2ψ˜2) +

(s

2KW2Vξψ˜2 + µ0{( W

V α+1)(KW)Vξ2ψ˜2 + (KW2

V α+1 )Vξψ˜ψ˜ξ + KW2

V α+1 ( ˜ψξ)2}) =

WψG dξ.˜

(33)

It further deduces d

dt

1

2( ˜ϕ2 + KW2ψ˜2) +

(A(V )Vξψ˜2 + µ0KW2

V α+1 ( ˜ψξ)2)

=

WψG dξ,˜ where

A(V ) = s

2KW2 + 1

s( W

V α+1)(KW)V α+1h 1

2s((KW2

V α+1 )V α+1h).

We show the uniform positiveness of A(V ) for V ∈ [v

, v

+

].

(34)

Recall

p(V ) = γp(V )

V , h(V ) = s2 + γp(V ) V . Representations of K, K and K′′ in terms of h and p :

K(V ) = γp(V )

V + (α + 1)h(V ) V , K(V ) = γ(γ α)p(V )

V 2 (α + 1)s2

V (α + 1)h(V ) V 2 , K′′(V ) = γ((γ α)(γ + 2) (α + 1))p(V )

V 3 + 2(α + 1) s2

V 2 + 2(α + 1)h(V ) V 3 .

(35)

Reformulate A(V ) as a quadratic form of h : A(V ) = W

2s(A0(V ) + A1(V )h(V ) + A2(V )h2(V )), where

A0(V ) =γ2(γ + 1)p2

V 3 W 2(γ2p2

V 2 γs2 p

V )W, A1(V ) =(γ(γ + 2)(2α + 1 γ) p

V 3 2s2(α + 1) V 2 )W

2(γ(2α + 1 γ) p

V 2 2s2(α + 1)

V )W 2γ p

V W′′, A2(V ) =2(α + 1)(W

V 3 + W

V 2 W′′

V ).

(36)

Choice of W(V ) :

W(V ) = V. ( = A2(V ) = 0) Final form of A(V ) :

A(V ) = 1

2s{2s2γp(V ) + γ2(γ 1)p2(V ) V +2γ2(α 1

2(γ 1))p(V )

V h(V ) + 2(α + 1)s2h(V )}.

By the physical assumption α 12(γ 1),

A(V ) ≥ sγp(v

+

), V ∈ [v

, v

+

].

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Thus, integrating the inequality, we have

( ˜ϕ,ψ)(t 2 +

t

0

(ψ˜ξ(τ)2 +

Vξψ(τ˜ )2)

C{∥ϕ˜0, ψ˜02 +

t

0

|ψ˜||G| dξdτ}.

Recalling the transformations ϕ = ˜ϕ, ψ = V K(V ) ˜ψ, the proof is thus completed.

Thank You !

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A remark

We give a remark that our arguments in the previous sections can be extended to the models with more general viscosity coefficient. In the book of Chapman-Cowling, the viscosity coefficient is given in more general form as

µ = ¯µ θ12F (θ).

It is noted that F(θ) = 1 for the Hard sphere Model, and F(θ) = θ

2 (s1)

for the Cut-off inverse power force Model. As a typical model whose F is not a power function of θ, the Sutherland’s model is well known where

F(θ) = 1 1 + s0

θ

, (s0 > 0 : Sutherland’s constant).

Even for the above general case, if we also take

χ1(V ) = W1(V ) = 1, χ2(V ) = K(V )W(V ), W2(V ) = W(V ) = V

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as in the proof of the Lemma 3, then after long calculations we can have the following :

A(V ) = 1

2s{2s2γp(V ) + γ2(γ 1)p2(V ) V +2s2h(V )

(γ + 1

2 + (γ 1)θF

F (γ 1)2θ(θF

F ))

θ=(a/R)V1γ

+2γ(γ 1)h(V )p(V ) V

(

γθF

F + (γ 1)θ(θF

F ))

θ=(a/R)V1γ

(γ 1)2h2(V ) V

(

γθ(θF

F ) + (γ 1)θ2(θF

F )′′)

θ=(a/R)V1

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