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18. Decomposition of Equations in a Neighborhood of Asymptotically Stable Integral Manifold
Consider the system of ordinary differential equations
dx
dτ
= a(x, ϕ, τ, ε),
dϕ
dτ
= ω(τ )
ε
+ b(x, ϕ, τ, ε), (18.1)
where x ∈ D ⊂ Rn, ϕ ∈ Rm, m≥ 2, τ ∈ R, ε ∈ (0, ε0] is a small parameter,
the vector functions a and b are defined on the set G = D×Rm×R×(0, ε0],
2π-periodic in ϕν, ν = 1,m, and thrice continuously differentiable with respect
to x, ϕ, and τ for every fixed ε ∈ (0, ε0], and all their partial derivatives are
uniformly bounded in G by a constant c1 independent of ε. Assume that
a(x, ϕ, τ, ε) = a(x, τ) + _a(x, ϕ, τ) + εA(x, ϕ, τ, ε),
where the function _a(x, ϕ, τ ) averaged with respect to ϕ over the cube of periods
is identically equal to zero, and the Fourier coefficients ck(x, τ, ε) of the function
c(x, ϕ, τ, ε) = [_a(x, ϕ, τ ); b(x, ϕ, τ, ε)] satisfy the inequality
_
k_=0
_
_k_3 sup
G
_ck_ + _k_2
_
sup
G
___
∂ck
∂τ
___
+ sup
G
___
∂ck
∂x
___
__
≤ c1. (18.2)
Consider the system of equations of the first approximation for slow variables
averaged with respect to all angular variables ϕ:
∂x
∂τ
= a(x, τ ).
Section 18 Decomposition of Equations 207
Assume that there exists a solution x = x(τ ) of this system defined on the entire
axis that lies, together with a certain ρ-neighborhood of it, in the domain D and
for which the normal fundamental matrix Q(τ, t) of solutions of the variational
equation
dz
dτ
= ∂a(x(τ ), τ)
∂x
z
satisfies the estimate
_Q(τ, t)_ ≤ Ke
−γ(τ−t) ∀τ ≥ t ∈ R, (18.3)
where γ > 0 and K ≥ 1 are certain constants. Let
σ0 =
2
γ
K sup
ϕ,τ
___
∂
∂x
_a(x(τ ), ϕ, τ)
___
< 1. (18.4)
We also impose certain restrictions on the components ων(τ ), ν = 1,m, of
the frequency vector ω(τ ). Assume that the functions
ω(μ)
ν (τ ) ≡ dμ
dτμων(τ ), ν= 1,m, μ = 0, p − 1, p≥ m,
are uniformly continuous on the entire axis, and
_(WT
p (τ )Wp(τ ))−1WT
p (τ )_ ≤ c1 ∀τ ∈ R, (18.5)
where
Wp(τ) = (ω(μ−1)
ν (τ ))m,p
ν,μ=1
and WT
p (τ ) is the transposed matrix. As proved above, under these conditions
there exists an asymptotically stable integral manifold x = X(ψ, τ, ε) = x(τ) +
Y (ψ, τ, ε) of system (18.1) for which the function Y (ψ, τ, ε) is 2π-periodic
in ψν, ν = 1,m, twice continuously differentiable with respect to ψ and τ
for every value of ε, and such that its second derivatives satisfy the Lipschitz
condition and
_Y (ψ, τ, ε)_ +
___
∂
∂ψ
Y (ψ, τ, ε)
___
+
_m
ν=1
___
∂2
∂ψ∂ψν
Y (ψ, τ, ε)
___
≤ c1εα,
_m
ν=1
___
∂2
∂ψ∂ψν
Y (ψ, τ, ε) − ∂2
∂ψ∂ψν
Y (ψ, τ, ε)
___
≤ c1εα_ψ − ψ_ (18.6)
∀(ψ, τ, ε) ∈ G1, ψ ∈ Rm, G1 = Rm × R × (0, ε0], α=
1
p
.
208 Integral Manifolds Chapter 3
Performing the change of variables y = x − X(ϕ, τ, ε) in (18.1), we obtain
the system
dy
dτ
= a(y + X(ϕ, τ, ε), ϕ, τ, ε) − a(X(ϕ, τ, ε), ϕ, τ, ε)
− ∂X(ϕ, τ, ε)
∂ϕ
[b(y + X(ϕ, τ, ε), ϕ, τ, ε) − b(X(ϕ, τ, ε), ϕ, τ, ε)],
dϕ
dτ
= ω(τ )
ε
+ b(y + X(ϕ, τ, ε), ϕ, τ, ε). (18.7)
For every value of the small parameter ε, the right-hand side of this system has
continuous partial derivatives of the first order with respect to y, ϕ, and τ, and
the derivatives with respect to y and ϕ satisfy the Lipschitz condition with respect
to y and ϕ with a Lipschitz constant independent of ε.
In the present section, we decompose Eqs. (18.7) in a neighborhood of the
integral manifold y ≡ 0 by introducing new variables according to the formula
ϕ = ψ +Φ(y, ψ, τ, ε) (Φ(0, ψ, τ, ε) ≡ 0), (18.8)
which reduces system (18.7) to the form
dy
dτ
= a(y + X(ψ +Φ, τ, ε), ψ +Φ, τ, ε) − a(X(ψ +Φ, τ, ε), ψ +Φ, τ, ε)
− ∂X(ψ +Φ, τ, ε)
∂ϕ
[b(y + X(ψ +Φ, τ, ε), ψ +Φ, τ, ε)
− b(X(ψ +Φ, τ, ε), ψ +Φ, τ, ε)],
dψ
dτ
= ω(τ )
ε
+ b(X(ψ, τ, ε), ψ, τ, ε), (18.9)
For ω = const, results concerning the canonical form of a dynamical system
in a neighborhood of an invariant torus are presented in Chapter 4. One
should also note the work [SaS], where the decomposition of equations was carried
out for systems with slowly varying phase, and the monograph [StS], where
the decomposition of singularly perturbed equations was carried out. We write
the following partial differential equation for the determination of the function
Φ = Φ(y, ψ, τ, ε):
Section 18 Decomposition of Equations 209
∂Φ
∂τ
+ ∂Φ
∂ψ
_ω(τ )
ε
+ b(X(ψ, τ, ε), ψ, τ, ε)
_
+ ∂Φ
∂y
_
a(y + X(ψ +Φ, τ, ε), ψ +Φ, τ, ε)
− a(X(ψ +Φ, τ, ε), ψ +Φ, τ, ε)
− ∂X(ψ +Φ, τ, ε)
∂ϕ
(b(yX(ψ +Φ, τ, ε), ψ +Φ, τ, ε)
− b(X(ψ +Φ, τ, ε), ψ +Φ, τ, ε)
_
= b(y + X(ψ +Φ, τ, ε), ψ +Φ, τ, ε) − b(X(ψ, τ, ε), ψ, τ, ε). (18.10)
We construct a solution of Eq. (18.10) by the method of successive approximations,
defining these approximations by the formula
Φj+1(y, ψ, τ, ε) = −
∞ _
τ
[bj −_b]dξ, Φ0 ≡ 0, (18.11)
where
bj = b(yξ,j
τ + X(ψξ
τ +Φj(yξ,j
τ , ψξ
τ, ξ, ε), ξ, ε), ψξ
τ +Φj(yξ,j
τ , ψξ
τ, ξ, ε), ξ, ε),
_b
= b(X(ψξ
τ, ξ, ε), ψξ
τ, ξ, ε).
Here, (yξ,j
τ , ψξ
τ) = (yξ,j
τ (y, ψ, ε), ψξ
τ (ψ, ε)) is a solution of the Cauchy problem
d
dξ
yξ,j
τ = aj − _aj − ∂Xj
∂ϕ
(bj −_bj), yτ,j
τ = y, (18.12)
d
dξ
ψξ
τ = ω(ξ)
ε
+_b, ψτ
τ = ψ, (18.13)
where aj = a(yξ,j
τ + Xj, ψξ
τ + Φj, ξ, ε), _aj = a(Xj, ψξ
τ + Φj, ξ, ε), Xj =
X(ψξ
τ +Φj, ξ, ε), _bj = b(Xj, ψξ
τ +Φj, ξ, ε), and Φj = Φj(yξ,j
τ , ψξ
τ, ξ, ε).
If the order of differentiation and integration can be changed, then one can
easily verify that the function Φj+1=Φj+1(y, ψ, τ, ε) defined by equality (18.11)
satisfies the partial differential equation
210 Integral Manifolds Chapter 3
∂Φj+1
∂τ
+ ∂Φj+1
∂ψ
_ω(τ )
ε
+ b(X(ψ, τ, ε), ψ, τ, ε)
_
+ ∂Φj+1
∂y
_
a(y + X(ψ +Φj, τ, ε), ψ +Φj, τ, ε)
− a(X(ψ +Φj, τ, ε), ψ +Φj, τ, ε)
− ∂X(ψ +Φj, τ, ε)
∂ϕ
(b(y + X(ψ +Φj, τ, ε), ψ +Φj, τ, ε)
− b(X(ψ +Φj, τ, ε), ψ +Φj, τ, ε)
_
= b(y + X(ψ +Φj, τ, ε), ψ +Φj, τ, ε) − b(X(ψ, τ, ε), ψ, τ, ε). (18.14)
Assuming that the norm of the matrix
∂b
∂ϕ
is sufficiently small, i.e.,
sup
G
___
∂b(x, ϕ, τ, ε)
∂ϕ
___
<
γ
K
min
_1
2
;
1
K
_
, (18.15)
we prove that the sequence {Φj(y, ψ, τ, ε)} converges uniformly to a certain
function Φ(y, ψ, τ, ε) on the set y ∈ Ph ≡ {y : y ∈ Rn, _y_ ≤ h}, ψ ∈ Rm,
τ ∈ R, ε ∈ (0, ε0], provided that ε0 > 0 and h > 0 are sufficiently small.
Moreover, we establish the convergence of the sequences
_ ∂
∂y
Φj
_
,
_ ∂
∂ψ
Φj
_
,
and
_ ∂
∂τ
Φj
_
to
∂
∂y
Φ,
∂
∂ψ
Φ, and
∂
∂τ
Φ, respectively. Then, passing to the
limit as j → ∞ in Eq. (18.14), we obtain equality (18.10) for the function
Φ(y, ψ, τ, ε) constructed above.
Theorem 18.1. Suppose that the conditions imposed on system (18.1) and
conditions (18.2)–(18.5) and (18.15) are satisfied. Then, for sufficiently small
h > 0 and ε0 > 0, there exists a change of variables (18.8) that reduces system
(18.1) to the decomposed form (18.9), where the function Φ(y, ψ, τ, ε) is 2π-
periodic in ψν, ν = 1,m, continuously differentiable with respect to y, ψ, and
τ for every fixed ε ∈ (0, ε0], and such that
_Φ_ ≤ d1_y_,
___
∂Φ
∂y
___
≤ d2,
___
∂Φ
∂ψ
___
≤ d3_y_ (18.16)
Section 18 Decomposition of Equations 211
∀(y, ψ, τ, ε) ∈ Ph × Rm × R × (0, ε0] ≡ G, and its partial derivatives with
respect to y and ψ satisfy the Lipschitz condition:
___
∂
∂y
Φ(y, ψ, τ, ε) − ∂
∂y
Φ(y, ψ, τ, ε)
___
≤ μ(_y − y_ + _ψ − ψ_),
___
∂
∂ψ
Φ(y, ψ, τ, ε) − ∂
∂ψ
Φ(y, ψ, τ, ε)
___
≤ ν_y − y_, (18.17)
___
∂
∂ψ
Φ(y, ψ, τ, ε) − ∂
∂ψ
Φ(y, ψ, τ, ε)
___
≤ ν_y_ ・ _ψ − ψ_.
Here, d1 − d3, μ, and ν are constants independent of ε and h.
We prove Theorem 18.1 in the next section. Here, we establish certain properties
of a solution of the Cauchy problem (18.12).
Lemma 18.1. Suppose that the conditions of Theorem 18.1 are satisfied and,
for every ε ∈ (0, ε0] and certain j ≥ 0, the function Φj(y, ψ, τ, ε) is continuously
differentiable with respect to y, ψ, and τ. Then one can find constants
ε0 > 0, h1 > 0, and γ1 ∈
_γ
2 , γ
_
such that, for all (y, ψ, τ, ε) ∈ G, h ≤ h1,
ε0 ≤ ε0, and ξ ≥ τ, the solution yξ,j
τ = yξ,j
τ (y, ψ, ε) of the Cauchy problem
(18.12) satisfies the inequality
_yξ,j
τ
_ ≤ K_y_e
−γ1(ξ−τ).
Proof. It follows from (18.12) and the smoothness conditions for the righthand
side of system (18.1) that
dyξ,j
τ
dξ
= H(ξ)yξ,j
τ + ∂_a(x(ξ), ψξ
τ +Φj, ξ)
∂x
yξ,j
τ + F1(yξ,j
τ , ψξ
τ ,Φj, ξ, ε), (18.18)
where
_F1_ ≤
_n
ν=1
sup
G
___
∂2
∂x∂xν
a(x, ϕ, τ, ε)
___
(_yξ,j
τ
_ + c1εα)_yξ,j
τ
_
+ ε sup
G
___
∂
∂x
A(x, ϕ, τ, ε)
___
_yξ,j
τ
_ + c1εα sup
G
___
∂
∂x
b(x, ϕ, τ, ε)
___
_yξ,j
τ
_
≤ c2(_yξ,j
τ
_ + εα0
), c2 = nc1(1 + n + c1), H(ξ) = ∂
∂x
a(x(ξ), ξ).
212 Integral Manifolds Chapter 3
For the function yξ,j
τ , we can write the representation
yξ,j
τ = Q(ξ, τ)y +
_ξ
τ
Q(ξ, l)
_ ∂
∂x
_a(x(l), ψlτ
+Φj(yl,j
τ , ψlτ
, l, ε), l)yl,j
τ + F1(yl,j
τ , ψlτ
,Φj(yl,j
τ , ψlτ
, l, ε), l, ε)
_
dl,
whence
_yξ,j
τ
_ ≤ K_y_e
−γ(ξ−τ) +
_ξ
τ
e
−γ(ξ−l)
_
K sup
ϕ,τ
___
∂
∂x
_a(x(τ ), ϕ, τ)
___
+ Kc2(_yl,j
τ
_ + εα0
)
_
_yl,j
τ
_dl.
Assume that _yξ,j
τ _ < 2K_y_ on the maximum half-interval ξ ∈ [τ, T). Then,
denoting
zξ
τ = _yξ,j
τ
_eγ(ξ−τ),
we obtain the inequality
zξ
τ
≤ K_y_ +
_ξ
τ
_
K sup
ϕ,τ
___
∂
∂x
_a(x(t), ϕ, τ)
___
+ Kc2(εα0
+ 2K_y_)
_
zlτ
dl,
whose solution (according to the Gronwall–Bellman lemma) satisfies the estimate
zξ
τ
≤ K_y_ exp
__
K sup
ϕ,τ
___
∂
∂x
_a(x(t), ϕ, τ)
___
+ Kc2(εα0
+ 2K_y_)
_
(ξ − τ )
_
.
Taking into account that, according to (18.4), we have σ0 < 1. and assuming that
2K2c2h ≤ 1
8γ(1 − σ0), Kc2
εα0
≤ 1
8γ(1 − σ0),
we deduce from the last estimate that
_yξ,j
τ
_ ≤ K_y_e
−γ1(ξ−τ), γ1 =
3 − σ0
4 , (18.19)
for all y ∈ Ph, ψ∈ Rm, ξ ∈ [τ, T), and ε ∈ (0, ε0]. It is obvious that
_yξ,j
τ
_ ≤ K_y_ < 2K_y_ ∀ξ ∈ [τ, T).
Therefore, relation (18.19) holds for all ξ ∈ [τ,∞). Lemma 18.1 is proved.
Section 18 Decomposition of Equations 213
Lemma 18.2. If the conditions of Lemma 18.1 are satisfied and the function
Φj(y, ψ, τ, ε) satisfies the inequality
___
∂
∂y
Φj
___
≤ d2, then, for sufficiently small
h > 0 and ε0 > 0, the following estimate is true:
___
∂
∂y
yξ,j
τ (y, ψ, ε)
___
≤ Ke
−γ1(ξ−τ) ∀(y, ψ, τ, ε) ∈ G, ξ≥ τ. (18.20)
Proof. Differentiating Eq. (18.12) with respect to y and using the equality
∂
∂y
yτ,j
τ (y, ψ, ε) = En, where En is the n-dimensional identity matrix, we get
∂
∂y
yξ,j
τ = Q(ξ, τ) +
_ξ
τ
Q(ξ, l)
_ ∂
∂x
_a(x(l), ψlτ
+Φj(yl,j
τ , ψlτ
, l, ε), l)
+ F2
_
yl,j
τ , ψlτ
,Φj(yl,j
τ , ψlτ
, l, ε),
∂
∂y
Φj(yl,j
τ , ψlτ
, l, ε), l, ε
__ ∂
∂y
yl,j
τ dl, (18.21)
where
_F2_ ≤ c3(εα0
+ _y_),
c3 = nc1K[n + nc1 + c1 + d2(nc1 + nc21
+ m + 2mc1)].
Equality (18.21) yields
___
∂
∂y
yξ,j
τ
___
eγ(ξ−τ) ≤ K +
_ξ
τ
eγ(l−τ)
_γ
2 σ0 + Kc3(εα0
+ h)
____ ∂
∂y
yl,j
τ
___
dl,
Solving this inequality, we obtain estimate (18.20) under the conditions Kc3εα0
≤
1
8γ(1 − σ0) and Kc3h ≤ 1
8γ(1 − σ0). Lemma 18.2 is proved.
Lemma 12.1–12.3 yield the following estimates for a solution ψξ
τ = ψξ
τ (ψ, ε)
of the Cauchy problem (18.13):
___
∂
∂ψ
(ϕξ
τ
− ψ)
___
≤ c4εα(1 + |ξ − τ |)ec4εα|ξ−τ|
,
214 Integral Manifolds Chapter 3
___
∂
∂τ
ψξ
τ
___
≤ c4
_1
ε
_ω(τ )_ + 1
_
ec4εα|ξ−τ|
, (18.22)
_m
ν=1
___
∂2
∂ψ∂ψν
ϕξ
τ
___
≤ c4εα(1 + |ξ − τ |2)ec4εα|ξ−τ|
.
Here, ψ ∈ Rm, ε ∈ (0, ε0], τ ∈ R, ξ ∈ R, , and c4 is the constant equal to
the greatest constant in the corresponding estimates in Lemmas 12.1–12.3. Using
(18.22) and repeating the scheme of the proof of Lemmas 18.1 and 18.2, we
establish the following statements:
Lemma 18.3. Let
___
∂
∂y
Φj(y, ψ, τ, ε)
___
≤ d2,
___
∂
∂ψ
Φj(y, ψ, τ, ε)
___
≤ d3_y_
∀(y, ψ, τ, ε) ∈ G.
Then, for sufficiently small h > 0 and ε0 > 0 and all (y, ψ, τ, ε) ∈ G and
ξ ≥ τ, the following inequalities are true:
___
∂
∂ψ
yξ,j
τ
___
≤ c5_y_(1 + _y_d3)e
−γ2(ξ−τ), γ2 =
5 − σ0
8 γ, (18.23)
___
∂
∂τ
yξ,j
τ
___
≤ c5_y_
_1
ε
_ω(τ )_ + d3_y_
_
e
−γ2(ξ−τ), (18.24)
where the constant c5 depends on d2 and does not depend on d3 and ε.
Lemma 18.4. If the conditions of Lemma 18.3 are satisfied and the function
∂
∂y
Φj(y, ψ, τ, ε) satisfies the Lipschitz condition
___
∂
∂y
Φj(y, ψ, τ, ε) − ∂
∂y
Φj(y, ψ, τ, ε)
___
≤ μ(_y − y_ + _ψ − ψ_) (18.25)
∀y, y ∈ Ph, ψ,ψ ∈ Rm, τ ∈ R, ε ∈ (0, ε0],
then the following estimate is true:
___
∂
∂y
yξ,j
τ (y, ψ, ε)− ∂
∂y
yξ,j
τ (y, ψ, ε)
___
≤ c6(1+hμ)e
−γ3(ξ−τ)(_y−y_+_ψ−ψ_),
where ξ ≥ τ, γ3 = 1
16(9 − σ0)γ, ε0 > 0 and h > 0 are sufficiently small, and
c6 is a constant independent of μ, h, and ε.
Section 18 Decomposition of Equations 215
Lemma 18.5. Suppose that the conditions of Lemma 18.4 are satisfied and
the following estimates are true:
___
∂
∂ψ
Φj(y, ψ, τ, ε) − ∂
∂ψ
Φj(y, ψ, τ, ε)
___
≤ ν_y − y_, ν= const,
___
∂
∂ψ
Φj(y, ψ, τ, ε) − ∂
∂ψ
Φj(y, ψ, τ, ε)
___
≤ ν_y__ψ − ψ_. (18.26)
Then one can find a constant c7 independent of ν, h, and ε and such that the
following inequalities hold for all ξ ≥ τ :
___
∂
∂ψ
yξ,j
τ (y, ψ, ε) − ∂
∂ψ
yξ,j
τ (y, ψ, ε)
___
≤ c7(1 + hν)e
−γ4(ξ−τ)_y − y_,
___
∂
∂ψ
yξ,j
τ (y, ψ, ε) − ∂
∂ψ
yξ,j
τ (y, ψ, ε)
___
≤ c7(1 + hν)_y_e
−γ4(ξ−τ)_ψ − ψ_,
where γ4 =
1
32
(17 − σ0)γ.
Further, we denote
_Φj+1(y, ψ, τ, ε) − Φj(y, ψ, τ, ε)_ = _y_vj(y, ψ, τ, ε),
___
∂
∂ψ
(Φj+1(y, ψ, τ, ε) − Φj(y, ψ, τ, ε))
___
= _y_vj(y, ψ, τ, ε),
vj(0, ψ, τ, ε) ≡ 0, vj(0, ψ, τ, ε) ≡ 0.
We use the following lemma for the investigation of the convergence of the
iterations defined by (18.11):
Lemma 18.6. Suppose that, for all (y, ψ, τ, ε) ∈ G and j ≥ 0, the inequalities
___
∂
∂y
Φj(y, ψ, τ, ε)
___
≤ d2,
___
∂
∂ψ
Φj(y, ψ, τ, ε)
___
≤ d3_y_
are true and the Lipschitz conditions (18.25) and (18.26) are satisfied. Then there
exist constants ε0 > 0, h2 > 0, γ5 >
γ
2 , and c8 such that, for j ≥ 0,
(y, ψ, τ, ε) ∈ G, ε0 ≤ ε0, h ≤ h2, and ξ ≥ τ, the following estimates are
true:
216 Integral Manifolds Chapter 3
_yξ,j+1
τ
− yξ,j
τ
_ ≤ c8_y_2 sup
G
vje
−γ5(ξ−τ), (18.27)
___
∂
∂y
(yξ,j+1
τ
− yξ,j
τ )
___
≤ c8_y_
_
sup
G
vj
+ sup
G
___
∂
∂y
(Φj+1(y, ψ, τ, ε) − Φj(y, ψ, τ, ε))
___
_
e
−γ5(ξ−τ), (18.28)
___
∂
∂ψ
(yξ,j+1
τ
− yξ,j
τ )
___
≤ c8_y_
_
sup
G
___
∂
∂y
(Φj+1(y, ψ, τ, ε) − Φj(y, ψ, τ, ε))
___
+ _y_(sup
G
vj + sup
G
vj)
_
e
−γ5(ξ−τ), (18.29)
where yξ,s
τ = yξ,s
τ (y, ψ, ε) for s = j, j + 1.
Proof. Rewriting Eq. (18.12) in the form
d
dξ
yξ,j
τ = H(ξ)yξ,j
τ +
_1
0
_ ∂
∂x
a(tyξ,j
τ + Xj, ψξ
τ +Φj, ξ, ε) − H(ξ)
_
dtyξ,j
τ
− ∂Xj
∂ϕ
_1
0
∂
∂x
b(tyξ,j
τ + Xj, ψξ
τ +Φj, ξ, ε)dtyξ,j
τ ,
one can easily obtain the estimate
_yξ,j+1
τ
− yξ,j
τ
_ ≤
_ξ
τ
Ke
−γ(ξ−l)
____
_1
0
_∂aj+1
∂x
− H(l)
_
dt
___
_yl,j+1
τ
− yl,j
τ
_
+
___
_1
0
_∂aj+1
∂x
− ∂aj
∂x
_
dt
___
_yl,j
τ
_
+
___∂
Xj+1
∂ϕ
− ∂Xj
∂ϕ
__ _
nc1_
yl,j+1
τ
_
+
___
∂Xj
∂ϕ
___
___
_1
0
_∂bj+1
∂x
yl,j+1
τ
− ∂bj
∂x
yl,j
τ
_
dt
___
_
dl. (18.30)
Section 18 Decomposition of Equations 217
We now use Lemma 18.1 and inequalities (18.6). Since
___
∂aj+1
∂x
− H(l)
___
≤ sup
ϕ,τ
___
∂
∂x
_a(x(τ ), ϕ, τ)
___
+ nc1(1 + nc1 + Kn)(εα + _y_),
___
∂aj+1
∂x
− ∂aj
∂x
___
_yl,j
τ
_ ≤ Knc1(n + m)(1 + c1)_y_e
−γ1(l−τ)(_yl,j+1
τ
− yl,j
τ
_
+ _Φj+1(yl,j+1
τ , ψlτ
, l, ε) − Φj(yl,j
τ , ψlτ
, l, ε)_,
___
∂Xj+1
∂ϕ
− ∂Xj
∂ϕ
__ _
nc1_
yl,j+1
τ
_ +
___
∂Xj
∂ϕ
___
___
_1
0
_∂bj+1
∂x
yl,j+1
τ
− ∂bj
∂x
yl,j
τ
_
dt
___
≤ Knc1c1(1 + nc1 + n + m)[(εα + _y_)_yl,j+1
τ
− yl,j
τ
_
+ εα_y_e
−γ1(l−τ)_Φj+1(yl,j+1
τ , ψlτ
, l, ε) − Φj(yl,j
τ , ψlτ
, l, ε)_],
estimate (18.30) can be rewritten in the form
_yξ,j+1
τ
− yξ,j
τ
_ ≤
_ξ
τ
e
−γ(ξ−l)
_
K sup
ϕ,τ
___
∂
∂x
_a(x(τ ), ϕ, τ)
___
+ (_y_ + εα)3c9K]_yl,j+1
τ
− yl,j
τ
_dl
+ 2c9K_y_
_ξ
τ
e
−γ(ξ−l)−γ1(l−τ)_Φj+1 − Φj_dl,
where c9 = Knc1(1 + c1)(1 + nc1 + n + m). Taking into account that the
derivative of each function Φj(y, ψ, τ, ε), j ≥ 0, with respect to y is bounded
from above by the constant d2, we get
_Φj+1(yl,j+1
τ , ψlτ, l, ε) − Φj(yl,j
τ , ψlτ
, l, ε)_
≤ _yl,j+1
τ
_ sup
G
vj + d2_yl,j+1
τ
− yl,j
τ
_
≤ K_y_e
−γ1(l−τ) sup
G
vj + d2_yl,j+1
τ
− yl,j
τ
_, (18.31)
218 Integral Manifolds Chapter 3
whence
_yξ,j+1
τ
− yξ,j
τ
_ ≤
_ξ
τ
e
−γ(ξ−l)
_γ
2 σ0 + Kc9(3 + 2d2)(εα0
+ h)
_
_yl,j+1
τ
− yl,j
τ
_dl
+
2c9
2γ1 − γ
K2e
−γ(ξ−l)_y_2 sup
G
vj . (18.32)
We choose h > 0 and ε0 > 0 so small that
Kc9(3 + 2d2)εα0
≤ 1
8γ(1 − σ0), Kc9
(3 + 2d2)h ≤ 1
8γ(1 − σ0).
Then, solving inequality (18.32), we obtain the estimate
_yξ,j+1
τ
− yξ,j
τ
_ ≤ 2c9
2γ1 − γ
K2e
−γ
4 (3−σ0)(ξ−τ)_y_2 sup
G
vj ,
the form of which coincides with the form of estimate (18.27). Inequalities (18.28)
and (18.29) can be established by analogy.
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