ODE笔记-一阶ODE

这篇文章是 UncleBob 的 ODE (常微分方程) 中一阶 ODE 的基础核心理论部分笔记.

一阶ODE的基础核心理论

解的存在性 (Peano定理)

Euler折线法

以初值问题x˙=x;x(0)=1\dot{x}=x;\quad x(0)=1为例:
我们希望求得其解φ(t)\varphi(t)在某个t0>0t_0>0的取值, 我们去nn很大, 记δ:=t0/n\delta :=t_0/n.
方向场在(0,1)(0,1)放置的线段斜率为11, 在[0,δ][0,\delta]定义函数ϕn(t)=1+t\phi_n(t)=1+t, 在右端点处ϕn(δ)=1+δ\phi_n(\delta)=1+\delta.
方向场在(δ,1+δ)(\delta,1+\delta)放置的线段斜率为1+δ1+\delta, 在[δ,2δ][\delta,2\delta]定义函数ϕn(t)=(1+δ)+(1+δ)(t−δ)\phi_n(t)=(1+\delta)+(1+\delta)(t-\delta), 在右端点处ϕn(2δ)=(1+δ)2\phi_n(2\delta)=(1+\delta)^2.
重复这个过程直到ϕn\phi_n在整个[0,t0][0,t_0]定义好. 我们有

ϕn(t0)=ϕn(nδ)=(1+δ)n=(1+t0n)n\phi_n(t_0)=\phi_n(n\delta)=(1+\delta)^n=(1+\frac{t_0}{n})^n

当n→+∞n\to +\infin, 有ϕn(t0)→et0\phi_n(t_0)\to e^{t_0}. 实际上在任何紧区间ϕn(t)⇉et\phi_n(t)\rightrightarrows e^t.
这种逼近解的方式称作Euler折线法.

Peano定理

U⊂Rd+1U\subset \mathbb{R}^{d+1}开, f:U→Rdf:U\to \mathbb{R}^d连续, (t0,x0)∈U(t_0,x_0)\in U, 则IVP{x˙=f(t,x)x(t0)=x0\begin{cases} \dot{x}=f(t,x)\\ x(t_0)=x_0 \end{cases}的解一定在t0t_0的一个小领域存在.

定理 (Arzelà-Ascoli)
设{fn:n≥1}\{f_n:n\geq 1\}是紧区间II上一列在Rd\mathbb{R}^d中取值的向量值连续函数, 满足一致有界性质和等度连续性质, 则存在子列nk→∞n_k\to\infin以及II上的连续函数ff, 使得fnk⇉ff_{n_k}\rightrightarrows f.

注
等度连续: ∀ϵ>0\forall \epsilon>0, ∃δ>0\exist \delta >0, s.t. ∣x−x′∣<δ|x-x'|<\delta时∀n\forall n, 有fn(x)−fn(x′)∣<ϵf_n(x)-f_n(x')|<\epsilon.

定理 (Peano)
设f:U→Rdf:U\to \mathbb{R}^d连续, 取ρ,η>0\rho,\eta >0使得Cρ,η⊂UC_{\rho,\eta}\subset U, 定义M:=max⁡{∣f(t,x)∣:(t,x)∈Cρ,η}M:=\max\{|f(t,x)|:(t,x)\in C_{\rho,\eta}\}, 那么IVP{x˙=f(t,x)x(t0)=x0\begin{cases} \dot{x}=f(t,x)\\ x(t_0)=x_0 \end{cases}在区间[t0−ϵ,t0+ϵ][t_0-\epsilon,t_0+\epsilon]内至少有一个解, 这里ϵ=min⁡{ρ,η/M}\epsilon=\min\{\rho,\eta/M\}.

证明 这里只给出大纲, 具体过程略过
第一步: 利用Euler折线法构造一列逼近解ϕn(t)\phi_n(t);
第二步: 利用Arzelà-Ascoli定理找到目标解ϕ\phi;
第三步: 证明ϕ\phi是IVP在区间[t0,t0+ϵ][t_0,t_0+\epsilon]上的解.

解的唯一性(Picard迭代)

解的积分形式

设ϕ:I→Rd\phi:I\to \mathbb{R}^d连续, 其图像Γϕ⊂U\Gamma_{\phi}\subset U, 则ϕ\phi为IVP{x˙=f(t,x)x(t0)=x0 \begin{cases} \dot{x}=f(t,x)\\ x(t_0)=x_0 \end{cases} 的解当且仅当其满足积分方程

ϕ(t)=x0+∫t0tf(τ,ϕ(τ))dτ\phi(t)=x_0+\int_{t_0}^tf(\tau,\phi(\tau))d\tau

压缩映射原理

度量空间

定义
设XX非空, d:X×X→[0,+∞)d:X\times X\to [0,+\infin)满足:

  1. 正定性: d(x,y)=0d(x,y)=0当且仅当x=yx=y;
  2. 对称性: d(x,y)=d(y,x)d(x,y)=d(y,x);
  3. 三角不等式: d(x,z)≤d(x,y)+d(y,z)d(x,z)\leq d(x,y)+d(y,z).

则称dd时XX上的一个度量.

定义
称{xn}⊂X\{x_n\}\subset X为一个Cauchy列, 若d(xn,xm)→0,n,m→∞d(x_n,x_m)\to 0,\quad n,m\to \infin.

定义
称XX为一个完备度量空间, 若{xn}⊂X\{x_n\}\subset X是一个Cauchy列, 则∃xx∈X,xn→xx\exist x_x\in X,x_n\to x_x.

定义
(X,d),(Y,ρ)(X,d),(Y,\rho)为两个度量空间, T:X→YT:X\rightarrow Y映射, 称TT在x0∈Xx_0\in X处连续, 若xn→x0⇒ρ(F(xn),F(x0))→0x_n \rightarrow x_0 \Rightarrow \rho(F(x_n),F(x_0))\rightarrow 0.
称T:X→YT:X\rightarrow Y连续, 若TT在任何x∈Xx\in X处连续.

定义
乘积度量:(X1,d1),(X2,d2)(X_1,d_1),(X_2,d_2)为两个度量空间, 令Y=X1×X2Y=X_1\times X_2, 可以定义d:Y×Y→[0,+∞)d:Y\times Y\to [0,+\infin)为d((x1,x2),(y1,y2))=max⁡(d1(x1,y1),d2(x2,y2))d((x_1,x_2),(y_1,y_2))=\max (d_1(x_1,y_1),d_2(x_2,y_2)), 那么dd是YY上的一个度量.

定义
开球 B(x0,r)={y∈X:d(x0,y)<r}B(x_0,r)=\{ y\in X:d(x_0,y)<r\}
闭球 B(x0,r)‾={y∈X:d(x0,y)≤r}\overline{B(x_0,r)}=\{ y\in X:d(x_0,y)\leq r\}

性质
(X,d)(X,d)是度量空间, (X×X,d^)(X\times X,\hat{d}), 则

d:(X×X,d^)→(R,∣⋅∣)d:(X\times X,\hat{d})\to (\mathbb{R},|\cdot|)

是连续的.

定义
设VV是一个实线性空间, 上面定义一个函数∣∣⋅∣∣:V→[0,+∞)||\cdot||:V\to [0,+\infin), 满足:

  1. 正定性: ∣∣v∣∣=0⇔v=0||v||=0\Leftrightarrow v=\mathbf{0};
  2. 齐次性: ∣∣λv∣∣=∣λ∣∣∣v∣∣||\lambda v||=|\lambda|||v||;
  3. 三角不等式: ∣∣u+v∣∣≤∣∣u∣∣+∣∣v∣∣||u+v||\leq ||u||+||v||.

则称∣∣⋅∣∣||\cdot||是VV上的一个范数, (V,∣∣⋅∣∣)(V,||\cdot||)是一个赋范线性空间. (简写为n.l.s, 即normed linear space)
称∣∣v∣∣||v||是向量vv的长度或范数.

例
(Rn,∣⋅∣)(\mathbb{R}^n,|\cdot|), ∣x∣=x12+⋯+xn2|x|=\sqrt{x_1^2+\cdots+x_n^2}

∣∣x∣∣p:=(∑i=1n∣xi∣p)1p||x||_p :=(\sum_{i=1}^n |x_i|^p)^\frac{1}{p}

(V,∣∣⋅∣∣)(V,||\cdot||)是n.l.s, 定义d:V×V→[0,∞)d:V\times V\to [0,\infin)

d(v1,v2):=∣∣v1−v2∣∣d(v_1,v_2):=||v_1-v_2||

性质: dd是VV上的一个度量, 从而VV在dd下成为一个度量空间.

定义
称一个完备n.l.s.为Banach空间.

例
I:[a,b]I:[a,b]是区间, V=C(I;Rn)V=C(I;\mathbb{R}^n),
定义∣∣⋅∣∣∞:V→R+||\cdot ||_{\infin}:V\to \mathbb{R}_+,

f↦∣∣f∣∣∞=sup⁡t∈I∣f(t)∣=max⁡t∈I∣f(t)∣f\mapsto ||f||_{\infin}=\sup_{t\in I}|f(t)|=\max_{t\in I}|f(t)|

性质: ∣∣⋅∣∣∞||\cdot ||_{\infin}是C(I;Rn)C(I;\mathbb{R}^n)上的一个范数, 称为无穷范数, 且(C(I;Rn),∣∣⋅∣∣∞)(C(I;\mathbb{R}^n),||\cdot ||_{\infin})是Banach空间.

令K⊂RnK\subset \mathbb{R}^n是一个紧集, 定义W=C(I;K)⊂VW=C(I;K)\subset V
性质: ∣∣⋅∣∣∞||\cdot ||_{\infin}是C(I;K)C(I;K)上的一个范数, 称为无穷范数, 且(C(I;K),∣∣⋅∣∣∞)(C(I;K),||\cdot ||_{\infin})是Banach空间.

例
设V=C(I,R)V=C(I,\mathbb{R}), I=[a,b]I=[a,b],

∣∣f∣∣1=∫ab∣f(x)∣dx||f||_1=\int_a^b|f(x)|dx

∣∣⋅∣∣1||\cdot||_1是VV上的范数, (C(I;R),∣∣⋅∣∣1)(C(I;\mathbb{R}),||\cdot||_1)不是Banach空间.

例
设V=Mn(R)V=M_n(\mathbb{R}), A∈Mn(R)A\in M_n(\mathbb{R}),

∣∣A∣∣2=∑i,j=1naij2||A||_2=\sqrt{\sum_{i,j=1}^na_{ij}^2}

∣∣A∣∣op=sup⁡∣v∣=1∣Av∣||A||_{op}=\sup_{|v|=1}|Av|

则∣∣⋅∣∣op||\cdot||_{op}是Mn(R)M_n(\mathbb{R})上的一个范数, 且∃cn>1\exist c_n>1, s.t.

cn−1∣∣A∣∣op≤∣∣A∣∣2≤cn∣∣A∣∣opc_n^{-1}||A||_{op} \leq ||A||_{2} \leq c_n||A||_{op}

压缩映射

定义
(X,d),T:X→X(X,d),T:X\to X映射, 设0<c<10<c<1, 称TT是一个c−c-压缩映射, 若d(T(x),T(y))≤c⋅d(x,y)d(T(x),T(y))\leq c\cdot d(x,y).

定理 (Banach不动点定理)
(X,d)(X,d)是完备度量空间, T:X→XT:X\to X为c−c-压缩映射, c∈(0,1)c\in (0,1), 则TT存在唯一的不动点x∗x_*, T(x∗)=x∗T(x_*)=x_*. 进一步∀x0∈X\forall x_0\in X,

d(Tn(x0),x∗)≤cn1−cd(x0,T(x0))d(T^n(x_0),x_*)\leq \frac{c^n}{1-c}d(x_0,T(x_0))

证明
x0∈Xx_0\in X, 令xn=Tn(x0)x_n=T^n(x_0), {Tn(x0):n∈N}⊂X\{T^n(x_0):n\in \mathbb{N}\}\subset X为Cauchy列,

d(Tn+1(x0),Tn(x0))≤d(T(Tn(x0)),T(Tn−1(x0)))≤c⋅d(Tn(x0),Tn−1(x0))≤⋯≤cnd(T(x0),x0)\begin{aligned} d(T^{n+1}(x_0),T^n(x_0))&\leq d(T(T^n(x_0)),T(T^{n-1}(x_0)))\\ &\leq c\cdot d(T^n(x_0),T^{n-1}(x_0))\\ &\leq\cdots\leq c^nd(T(x_0),x_0) \end{aligned}

d(Tn+k(x0),Tn(x0))≤d(Tn+k(x0),Tn+k−1(x0))+⋯+d(Tn+1(x0),Tn(x0))≤(cn+k−1+⋯+cn)d(T(x0),x0)≤cn1−cd(T(x0),x0)\begin{aligned} d(T^{n+k}(x_0),T^n(x_0))&\leq d(T^{n+k}(x_0),T^{n+k-1}(x_0))+\cdots +d(T^{n+1}(x_0),T^n(x_0))\\ &\leq (c^{n+k-1}+\cdots+c^n)d(T(x_0),x_0)\\ &\leq\frac{c^n}{1-c}d(T(x_0),x_0) \end{aligned}

由XX完备, 存在唯一x∗∈Xx_*\in X, s.t.

Tn(x0)→x∗,d(Tn(x0),x∗)→0T^n(x_0)\to x_*,d(T^n(x_0),x_*)\to 0

Lipschitz性质与解的唯一性

定义
U⊂Rd+1U\subset \mathbb{R}^{d+1}开, f:U→Rdf:U\to \mathbb{R}^d连续, D⊂UD\subset U, 称f∈Lipx(D)f\in Lip_x(D), 若∃L=L(0)>0\exist L=L(0)>0 s.t. ∀t,x,x′\forall t,x,x', (t,x),(t,x′)∈D(t,x),(t,x')\in D, 有

∣f(t,x)−f(t,x′)∣≤L∣x−x′∣|f(t,x)-f(t,x')|\leq L|x-x'|

定义
f:U→Rdf:U\to \mathbb{R}^d连续, 称f∈Lipx,loc(U)f\in Lip_{x,loc}(U), 若∀K⊂U\forall K\subset U, 都存在L(K)>0L(K)>0, s.t.

f∈Lipx(K)f\in Lip_x(K)

推论
U⊂Rd+1U\subset \mathbb{R}^{d+1}开, f:U→Rdf:U\to \mathbb{R}^d为C1C^1光滑 ⇒\Rightarrow f∈Lipx,loc(U)f\in Lip_{x,loc}(U).

定理(Picard-Lindelöf)
U⊂Rd+1U\subset \mathbb{R}^{d+1}开, f:U→Rdf:U\to \mathbb{R}^d连续, 且f∈Lipx,loc(U)f\in Lip_{x,loc}(U). 设(t0,x0)∈U(t_0,x_0)\in U, 则IVP{x˙=f(t,x)x(t0)=x0 \begin{cases} \dot{x}=f(t,x)\\ x(t_0)=x_0 \end{cases}
的解局部存在且唯一, 即存在δ>0\delta >0以及φ:[t0−δ,t0+δ]→R\varphi:[t_0-\delta,t_0+\delta]\to \mathbb{R} s.t. φ\varphi为IVP的解且在[t0−δ,t0+δ][t_0-\delta,t_0+\delta]上是唯一解.

证明
记R=[t0−ϵ,t0+ϵ]×B(x0,ϵ)‾,M=max⁡(t,x)∈R∣f(t,x)∣,δ0=ϵMR=[t_0-\epsilon,t_0+\epsilon]\times \overline{B(x_0,\epsilon)},M=\max_{(t,x)\in R}|f(t,x)|,\delta_0=\frac{\epsilon}{M},
第一步: 构造一个完备度量空间X:=C([t0−δ,t0+δ];B(x0,ϵ)‾)X:=C([t_0-\delta,t_0+\delta];\overline{B(x_0,\epsilon)});
第二步: Picard映射T:X→C([t0−δ,t0+δ];Rd),ϕ↦TϕT:X\to C([t_0-\delta,t_0+\delta];\mathbb{R}^d),\phi \mapsto T\phi

(Tϕ)(t)=x0+∫t0tf(τ,ϕ(τ))dτ,t∈[t0−δ,t0+δ](T\phi)(t)=x_0+\int_{t_0}^tf(\tau,\phi(\tau))d\tau,t\in [t_0-\delta,t_0+\delta]

∣Tϕ(t)−x0∣=∣∫t0tf(τ,ϕ(τ))dτ∣≤∫t0t∣f(τ,ϕ(τ))∣dτ≤∣t−t0∣M≤δ0M≤ϵ \begin{aligned} |T\phi(t)-x_0|&= |\int_{t_0}^tf(\tau,\phi(\tau))d\tau| \leq \int_{t_0}^t|f(\tau,\phi(\tau))|d\tau \\ &\leq |t-t_0|M\leq \delta_0M\leq \epsilon \end{aligned}
⇒Tϕ∈X\Rightarrow T\phi\in X;
第三步: TT为压缩映射. ϕ,ψ∈X\phi,\psi\in X,

∣Tϕ(t)−Tψ(t)∣≤∫t0t∣f(τ,ϕ(τ))−f(τ,ψ(τ))∣dτ≤∫t0tL∣ϕ(τ)−ψ(τ)∣dτ≤∣∣ϕ−ψ∣∣∞,∀t∈[t0−δ,t0+δ]\begin{aligned} |T\phi(t)-T\psi(t)| &\leq \int_{t_0}^t|f(\tau,\phi(\tau))-f(\tau,\psi(\tau))|d\tau \\ &\leq \int_{t_0}^tL|\phi(\tau)-\psi(\tau)|d\tau \\ &\leq ||\phi-\psi||_{\infin},\forall t\in [t_0-\delta,t_0+\delta] \end{aligned}

取δ=min⁡{δ0,12L}\delta=\min\{\delta_0,\frac{1}{2L}\}

d(Tϕ,Tψ)=∣∣Tϕ−Tψ∣∣∞≤Lδ∣∣ϕ−ψ∣∣∞=12∣∣ϕ−ψ∣∣∞≤12d(ϕ,ψ)d(T\phi,T\psi)=||T\phi-T\psi||_{\infin}\leq L\delta||\phi-\psi||_{\infin}=\frac{1}{2}||\phi-\psi||_{\infin}\leq \frac{1}{2}d(\phi,\psi)

即TT为12\frac{1}{2}-压缩映射.
由Banach, 存在唯一的φ∈X\varphi\in X s.t. Tφ=φT\varphi=\varphi, ∀t∈[t0−δ,to+δ]\forall t\in [t_0-\delta,t_o+\delta],

φ(t)=Tφ(t)=∫t0tf(τ,ϕ(τ))dτ\varphi(t)=T\varphi(t)=\int_{t_0}^tf(\tau,\phi(\tau))d\tau

在[t0−δ,t0+δ][t_0-\delta,t_0+\delta]上φ\varphi为IVP唯一解.

Picard迭代

引理 一个著名积分

(t1−t0)nn!=∫t0t1∫t0t2∫t0t3⋯∫t0tndtn+1dtn⋯dt2\frac{(t_1-t_0)^n}{n!}=\int_{t_0}^{t_1}\int_{t_0}^{t_2}\int_{t_0}^{t_3}\cdots \int_{t_0}^{t_n}dt_{n+1}dt_n\cdots dt_2

取δ=δ0=ϵM\delta=\delta_0=\frac{\epsilon}{M}, T:X→XT:X\to X, ∀ϕ,ψ,t0≤t≤t0+δ0\forall \phi,\psi,t_0\leq t \leq t_0+\delta_0

∣Tnϕ(t)−Tnψ(t)∣=∣∫t0tf(t1,Tn−1ϕ(t1))−f(t1,Tn−1ψ(t1))dt1∣≤L∫t0t∣Tn−1ϕ(t1)−Tn−1ψ(t1)∣dt1≤L∫t0tL∫t0t1∣Tn−2ϕ(t2)−Tn−2ψ(t2)∣dt2dt1≤⋯≤Ln∫t0t∫t0t1⋯∫t0tn−1∣ϕ(tn)−ψ(tn)∣dtn⋯dt2dt1≤Ln∣∣ϕ−ψ∣∣∞δ0nn!\begin{aligned} |T^n\phi(t)-T^n\psi(t)|&=|\int_{t_0}^tf(t_1,T^{n-1}\phi(t_1))-f(t_1,T^{n-1}\psi(t_1))dt_1|\\ &\leq L\int_{t_0}^t|T^{n-1}\phi(t_1)-T^{n-1}\psi(t_1)|dt_1\\ &\leq L\int_{t_0}^tL\int_{t_0}^{t_1}|T^{n-2}\phi(t_2)-T^{n-2}\psi(t_2)|dt_2dt_1\\ &\leq \cdots\\ &\leq L^n\int_{t_0}^t\int_{t_0}^{t_1}\cdots\int_{t_0}^{t_{n-1}}|\phi(t_n)-\psi(t_n)|dt_n \cdots dt_2dt_1\\ &\leq L^n ||\phi-\psi||_{\infin}\frac{\delta_0^n}{n!} \end{aligned}

即

∣∣Tnϕ−Tnψ∣∣∞≤(Lδ0)nn!∣∣ϕ−ψ∣∣∞||T^n\phi-T^n\psi||_{\infin}\leq \frac{(L\delta_0)^n}{n!}||\phi-\psi||_{\infin}

断言: ∀ϕ∈X\forall \phi\in X, {Tnϕ}⊂X\{T^n\phi\}\subset X为Cauchy列.
令ψ=Tkϕ\psi =T^k\phi, 有

∣∣Tn+kϕ−Tnϕ∣∣∞≤(Lδ0)nn!∣∣Tkϕ−ϕ∣∣∞≤2(∣x0∣+ϵ)(Lδ0)nn!→0,n→∞||T^{n+k}\phi-T^n\phi||_{\infin}\leq \frac{(L\delta_0)^n}{n!}||T^k\phi-\phi||_{\infin}\leq 2(|x_0|+\epsilon)\frac{(L\delta_0)^n}{n!}\to 0,n\to \infin

∣∣ϕ∣∣∞≤∣x0∣+ϵ||\phi||_{\infin}\leq|x_0|+\epsilon, 存在唯一的φ\varphi s.t. Tnϕ→φ,n→∞T^n\phi \to \varphi,n\to \infin.

定理
I⊂RI\subset \mathbb{R}区间, f:I×Rd→Rdf:I\times \mathbb{R}^d\to \mathbb{R}^d连续, 且∃L>0\exist L>0, s.t. ∀t∈I,∀x,x′∈Rd\forall t\in I,\forall x,x'\in \mathbb{R}^d, 均有

∣f(t,x)−f(t,x′)∣≤L∣x−x′∣|f(t,x)-f(t,x')|\leq L|x-x'|

那么∀t0∈I,∀x0∈Rd\forall t_0\in I,\forall x_0\in \mathbb{R}^d, IVP{x˙=f(t,x)x(t0)=x0 \begin{cases} \dot{x}=f(t,x)\\ x(t_0)=x_0 \end{cases} 的解在II上存在且唯一.

证明
任取J⊂IJ\subset I为紧区间, X=C(J;Rd)X=C(J;\mathbb{R}^d), T:X→X,Tϕ(t)=x0+∫t0tf(τ,ϕ(τ))dτT:X\to X,T\phi(t)=x_0+\int_{t_0}^tf(\tau,\phi(\tau))d\tau, 证明同上, 得到单调上升JnJ_n, I=∪JnI=\cup J_n.

推论
I⊂RI\subset \mathbb{R}区间, A:I→Md(R)A:I\to M_d(\mathbb{R}), b:I→Rdb:I\to \mathbb{R}^d连续, 则IVP{X˙=A(t)X+b(t)X(t0)=X0 \begin{cases} \dot{X}=A(t)X+b(t)\\ X(t_0)=X_0 \end{cases} 的解在II上存在且唯一.

证明
∀J⊂I\forall J\subset I为紧区间, A:J→Md(R)A:J\to M_d(\mathbb{R}), L=max⁡t∈J∣∣A(t)∣∣<∞L=\max_{t\in J}||A(t)||<\infin, f(t,X):=A(t)X+b(t)f(t,X):= A(t)X+b(t), 对于t∈J,X,Y∈Rdt\in J,X,Y\in \mathbb{R}^d,

∣f(t,X)−f(t,Y)∣=∣A(t)(X−Y)∣≤∣∣A(t)∣∣∣X−Y∣≤L∣X−Y∣|f(t,X)-f(t,Y)|=|A(t)(X-Y)|\leq ||A(t)|||X-Y|\leq L|X-Y|

极大解与极大积分路线

极大解的定义与存在性

定义
ω=(t0,x0)\omega = (t_0,x_0), 称(ϕω,Iω)(\phi_\omega ,I_\omega)是I(ω)\mathcal{I}(\omega)的一个极大解, 若以下两条成立:

  1. ϕω:Iω→Rd\phi_\omega :I_\omega \to \mathbb{R}^d是I(ω)\mathcal{I}(\omega)的解;
  2. 若(ψ,J)(\psi,J)也是I(ω)\mathcal{I}(\omega)的解, 且ψ\psi为ϕω\phi_\omega的延拓 (即Iω⊂J,ψ∣Iω=ϕωI_\omega \subset J,\psi |_{I_\omega}=\phi_\omega) , 则J=Iω,ψ=ϕωJ=I_\omega,\psi=\phi_\omega.

注:
若(ϕω,Iω)(\phi_\omega ,I_\omega)为极大解, 则IωI_\omega为开区间, 因为若Iω=(a,b]I_\omega =(a,b], (b,ϕω(b))∈U(b,\phi_\omega (b))\in U, ϕω\phi_\omega可以延拓到(a,b+ϵ)(a,b+\epsilon)上, 从而与上述2) 矛盾.

从现在开始, 总假设∀ω=(t0,x0)∈U\forall \omega=(t_0,x_0)\in U初值问题, I(ω)\mathcal{I}(\omega)的解总是局部存在且唯一.

定理
U⊂Rd+1U\subset \mathbb{R}^{d+1}开, f:U→Rdf:U\to \mathbb{R}^d连续且上述假设成立, 则∀(t0,ω0)∈U\forall (t_0,\omega_0)\in U, I(ω)\mathcal{I}(\omega)的极大解存在且唯一.

关键引理
(ϕ,I)(\phi,I)与(ψ,J)(\psi,J)均为I(ω)\mathcal{I}(\omega)的解, 则ϕ∣I∩J=ψ∣I∩J\phi|_ {I\cap J} = \psi|_{I\cap J}.

证明
设I∩J=(a,b)∋t0I\cap J=(a,b) \ni t_0, ϕ(t0)=ψ(t0)=x0\phi(t_0)=\psi(t_0)=x_0.
反证: 不妨设∃t0<t1<b\exist t_0<t_1<b, s.t. ϕ(ti)≠ψ(t1)\phi(t_i)\neq \psi(t_1), ∃t0≤t∗<t1\exist t_0\leq t_* <t_1, s.t. ϕ∣[t0,t∗]=ψ∣[t0,t∗],ϕ(t∗)=ψ(t∗)=x∗\phi|_{[t_0,t_*]}=\psi|_{[t_0,t_*]},\phi(t_*)=\psi(t_*)=x_*, 但∀δ>0,ϕ∣(t∗,t∗+δ)≠ψ∣(t∗,t∗+δ)\forall \delta >0,\phi|_{(t_*,t_*+\delta)}\neq\psi|_{(t_*,t_*+\delta)}, 由假设, I(t∗,x∗)\mathcal{I}(t_*,x_*)初值的解存在且唯一, 即∃δ0>0\exist \delta_0>0以及η:(t∗−δ0,t∗+δ0)→Rd\eta:(t_*-\delta_0,t_*+\delta_0)\to \mathbb{R}^d为I(t∗,x∗)\mathcal{I}(t_*,x_*)在(t∗−δ0,t∗+δ0)(t_*-\delta_0,t_*+\delta_0)的唯一解, 矛盾.

称(ϕ,I)(\phi,I)是I(ω)\mathcal{I}(\omega)的一个局部解, 若II为开区间, 且ϕ:I→Rd\phi:I\to \mathbb{R}^d为解.
记S={(ϕ,I):(ϕ,I)为I(ω)的局部解}S=\{(\phi,I):(\phi,I)为\mathcal{I}(\omega)的局部解\},
定义Imax⁡=∪(ϕ,I)∈SII_{\max}=\cup_{(\phi,I)\in S}I, 为开区间.
定义ϕmax⁡:Imax⁡→Rd,t↦ϕmax⁡(t):=ϕt(t)\phi_{\max}:I_{\max}\to \mathbb{R}^d,\quad t\mapsto \phi_{\max}(t):=\phi_t(t), ∃(ϕt,It)\exist (\phi_t,I_t), s.t. t∈Itt\in I_t.
ϕmax⁡′(t)=f(t,ϕmax⁡(t))\phi_{\max}'(t)=f(t,\phi_{\max}(t)), ϕmax⁡∣It=ϕt∣It\phi_{\max}|_{I_t}=\phi_t|_{I_t}, ϕmax⁡′(t)=ϕt′(t)=f(t,ϕt(t))\phi_{\max}'(t)=\phi_t'(t)=f(t,\phi_t(t)).
断言: (ϕmax⁡,Imax⁡)(\phi_{\max},I_{\max})为I(ω)\mathcal{I}(\omega)的一个极大解. 1) 成立; 对于2) , ψ:J→Rd\psi:J\to \mathbb{R}^d为I(ω)\mathcal{I}(\omega)的解, 且ψ\psi是ϕmax⁡\phi_{\max}的延拓⇒\Rightarrow J=Imax⁡,ψ=ϕmax⁡J=I_{\max},\psi=\phi_{\max}.
断言: JJ为开区间. 若已证JJ为开区间, (ψ,J)(\psi,J)是一个局部解, J⊂Imax⁡⇒Imax⁡=J⇒ψ=ϕmax⁡J\subset I_{\max} \Rightarrow I_{\max}=J \Rightarrow \psi=\phi_{\max}.
若ψ:J=(a∗,b∗]→Rd\psi:J=(a_*,b_*]\to \mathbb{R}^d为解, ψ~:J~=(a∗,b∗+δ)→Rd\widetilde{\psi}:\widetilde{J}=(a_*,b_*+\delta)\to \mathbb{R}^d为解, (a∗,b∗+δ)⊂Imax⁡⊂J=(a∗,b∗](a_*,b_*+\delta)\subset I_{\max} \subset J =(a_*,b_*], 矛盾. 从而成立.
唯一性: (ϕmax⁡,Imax⁡)(\phi_{\max},I_{\max})为I(ω)\mathcal{I}(\omega)的极大解, (ψmax⁡,Jmax⁡)(\psi_{\max},J_{\max})也为极大解, 那么(ψmax⁡,Jmax⁡)(\psi_{\max},J_{\max})是一个和局部解, 有Jmax⁡⊂Imax⁡J_{\max}\subset I_{\max}, 同理有Imax⁡⊂Jmax⁡I_{\max}\subset J_{\max}, 从而Jmax⁡=Imax⁡J_{\max}= I_{\max}, 由引理知二者相等.

注:

  1. 假设(ϕmax⁡,Imax⁡)(\phi_{\max},I_{\max})为I(ω)\mathcal{I}(\omega)的极大解, 则称Imax⁡I_{\max}为I(ω)\mathcal{I}(\omega)的解的极大定义区间.
  2. 若没有假设, 用Zorn引理证明I(ω)\mathcal{I}(\omega)的极大解必存在.

定义
若(ϕmax⁡,Imax⁡)(\phi_{\max},I_{\max})是I(ω)\mathcal{I}(\omega)的极大解, 称Γϕmax⁡={(t,ϕmax⁡(t)):t∈Imax⁡}\Gamma_{\phi_{\max}}=\{(t,\phi_{\max}(t)):t\in I_{\max}\}为极大积分曲线.

推论
过(t0,ω0)(t_0,\omega_0)的极大积分曲线存在且唯一.

定义
称Γ\Gamma是一条极大积分曲线, 若Γ\Gamma是某个I(ω)\mathcal{I}(\omega)的极大积分曲线.

极大解的几何性质

性质
设Γ1\Gamma_1与Γ2\Gamma_2是x˙=f(t,x)\dot{x}=f(t,x)的两条极大积分曲线, 则要么Γ1∩Γ2=∅\Gamma_1 \cap \Gamma_2=\emptyset, 要么Γ1=Γ2\Gamma_1=\Gamma_2.

引理
若Γ\Gamma为I(t0,x0)\mathcal{I}(t_0,x_0)的极大积分曲线, 且(t1,x1)∈Γ(t_1,x_1)\in \Gamma, 那么Γ\Gamma也是I(t1,x1)\mathcal{I}(t_1,x_1)的极大积分曲线.

证明
等价于证明I(t0,x0)\mathcal{I}(t_0,x_0)的极大解(ϕmax⁡,Imax⁡)(\phi_{\max},I_{\max})也是I(t1,x1)\mathcal{I}(t_1,x_1)的极大解(ψmax⁡,Jmax⁡)(\psi_{\max},J_{\max}). 易证.

性质的证明
设Γ1\Gamma_1是I(t0,x0)\mathcal{I}(t_0,x_0)极大积分曲线, Γ2\Gamma_2是I(t1,x1)\mathcal{I}(t_1,x_1)极大积分曲线.
若Γ1∩Γ2=∅\Gamma_1\cap \Gamma_2=\emptyset, 成立; 否则, ∃(t∗,x∗)∈Γ1∩Γ2\exist (t_*,x_*)\in \Gamma_1\cap \Gamma_2, 从而Γ1\Gamma_1也是I(t∗,x∗)\mathcal{I}(t_*,x_*)极大积分曲线, Γ2\Gamma_2也是I(t∗,x∗)\mathcal{I}(t_*,x_*)极大积分曲线, 有Γ1=Γ2\Gamma_1=\Gamma_2.

定理
U⊂Rd+1U\subset \mathbb{R}^{d+1}开, f:U→Rdf:U\to \mathbb{R}^d连续, (t0,x0)∈U(t_0,x_0)\in U, 则过(t0,x0)(t_0,x_0)的极大积分曲线“趋向于UU的边界”, 即: 若(ϕmax⁡,Imax⁡)(\phi_{\max},I_{\max})是I(t0,x0)\mathcal{I}(t_0,x_0)的极大解, Imax⁡=(a,b)I_{\max}=(a,b), 则∀K⊂D\forall K \subset D紧, 均存在a<t∗<t∗<ba<t_*<t^*<b, s.t. 当t∈(a,t∗)∪(t∗,b)t\in (a,t_*)\cup (t^*,b)时, (t,ϕmax⁡(t))∉K(t,\phi_{\max}(t))\notin K.

证明
以t∗t^*的存在性为例:
若b=+∞b=+\infin, 那么t∗t^*存在是显然的;
若b<+∞b<+\infin, ∃t0≤t∗<b\exist t_0\leq t^* < b, s.t. 当t∈(t∗,b)t\in (t^*,b), (t,ϕmax⁡(t))∉K(t,\phi_{\max}(t))\notin K.
反证: ∃tn↑b\exist t_n \uparrow b, s.t. (tn,ϕ(tn))∈K(t_n,\phi(t_n))\in K紧. 不妨设ϕ(tn)→x∗\phi(t_n)\to x_*, 取R=[b−2ϵ,b+2ϵ]×B(x∗,2ϵ)‾⊂UR=[b-2\epsilon,b+2\epsilon]\times\overline{B(x_*,2\epsilon)}\subset U, 令M=max⁡(t,x)∈R∣f(t,x)∣M=\max_{(t,x)\in R}|f(t,x)|, 取tnt_n, s.t. bϵM<tn<bb\frac{\epsilon}{M}<t_n<b, 对(tn,ϕ(tn))(t_n,\phi(t_n))使用Peano延拓定理: {x˙=f(t,x)x(tn)=ϕ(tn)\begin{cases} \dot{x}=f(t,x)\\ x(t_n)=\phi(t_n) \end{cases}解在[tn−ϵM,tn+ϵM][t_n-\frac{\epsilon}{M},t_n+\frac{\epsilon}{M}]上存在, 设解为ψ(t)\psi(t), 定义

ψ~(t)={ϕ(t),t≤tnψ(t),tn<t<tn+ϵM\widetilde{\psi}(t)= \begin{cases} \phi(t),\quad t\leq t_n\\ \psi(t),\quad t_n<t<t_n+\frac{\epsilon}{M} \end{cases}

ψ~(t)\widetilde{\psi}(t)为解, 与ϕ\phi为I(t0,x0)\mathcal{I}(t_0,x_0)的极大解矛盾.

自治系统的极大解的性质

V⊂RdV\subset \mathbb{R}^d为开集, g:V→Rdg:V\to \mathbb{R}^d连续. 假设{x˙=g(x)x(t0)=x0\begin{cases} \dot{x}=g(x)\\ x(t_0)=x_0 \end{cases}的解总是局部存在且唯一.

f:R×V→Rd,(t,x)↦f(t,x):=g(x)f:\mathbb{R}\times V\to \mathbb{R}^d,\quad (t,x)\mapsto f(t,x):=g(x).

性质
x0∈Vx_0\in V, (ϕmax⁡,Imax⁡)(\phi_{\max},I_{\max})为I(0,x0)\mathcal{I}(0,x_0)的极大解 ⇔\Leftrightarrow (ψmax⁡,Jmax⁡)(\psi_{\max},J_{\max})为I(t0,x0)\mathcal{I}(t_0,x_0)的极大解, 其中ψmax⁡(t)=ϕmax⁡(t−t0)\psi_{\max}(t)=\phi_{\max}(t-t_0), Jmax⁡=t0+Imax⁡J_{\max}=t_0+I_{\max}.

定义
{x˙=g(x)x(t0)=x0\begin{cases} \dot{x}=g(x)\\ x(t_0)=x_0 \end{cases}的极大解为(ϕmax⁡,Imax⁡)(\phi_{\max},I_{\max}), 定义I(t0,x0)\mathcal{I}(t_0,x_0)的通过x0x_0的极大相曲线为ϕmax⁡\phi_{\max}的像, 即ϕmax⁡(Imax⁡)\phi_{\max}(I_{\max}).

推论
x˙=g(x)\dot{x}=g(x), ∀x0∈V\forall x_0\in V, 则

  1. 通过x0x_0的极大相曲线唯一;
  2. 两条极大相曲线要么不相交, 要么完全重合.

性质
V⊂RdV\subset \mathbb{R}^d, g:V→Rdg:V\to \mathbb{R}^d, x˙=g(x)\dot{x}=g(x), 任取K⊂VK\subset V, KK紧, ∀x0∈V\forall x_0 \in V, 设I(0,x0)\mathcal{I}(0,x_0)的解为(ϕmax⁡,Imax⁡)(\phi_{\max},I_{\max}), Imax⁡=(a,b)I_{\max}=(a,b), 则

  1. 要么b=+∞b=+\infin* (或者a=−∞a=-\infin) *;
  2. 要么b<+∞b<+\infin, 且存在0≤t∗<b0\leq t^*<b, s.t. ϕ(t)∉K\phi(t)\notin K, t∗<t<bt^*<t<b* (或者a>−∞a>-\infin, 且存在a<t∗≤0a< t_*\leq 0, s.t. ϕ(t)∉K\phi(t)\notin K, a<t<t∗a<t<t_*) *.

证明
若b=+∞b=+\infin, 成立. 下设b<+∞b<+\infin.
f:Rd×V→Rd,(t,x)↦f(t,x)=g(x)f:\mathbb{R}^d\times V\to \mathbb{R}^d,\quad (t,x)\mapsto f(t,x)=g(x), 取K^=[0,b]×K⊂Rd+1\hat{K}=[0,b]\times K\subset \mathbb{R}^{d+1}紧, 由非自治系统结论知, ∃0≤t<b\exist 0\leq t<b, s.t. (t,ϕ(t))∉K^(t,\phi(t))\notin \hat{K}, 从而ϕ(t)∉K\phi(t)\notin K.

解关于初值和参数的连续依赖性

对于{x˙=f(t,x)x(s)=z\begin{cases} \dot{x}=f(t,x)\\ x(s)=z \end{cases}, 设解为ϕ(t,s,z)\phi(t,s,z).

Grönwall不等式

我们考虑对于

ϕ(t,s,z)=z+∫stf(τ,ϕ(τ,s,z))dτ\phi(t,s,z)=z+\int_s^tf(\tau,\phi(\tau,s,z))d\tau

和

ϕ(t,s,z′)=z′+∫stf(τ,ϕ(τ,s,z′))dτ\phi(t,s,z')=z'+\int_s^tf(\tau,\phi(\tau,s,z'))d\tau

定义

η(t):=∣ϕ(t,s,z)−ϕ(t,s,z′)∣≤∣z−z′∣+∫st∣f(τ,ϕ(τ,s,z))−f(τ,ϕ(τ,s,z′))∣dτ≤∣z−z′∣+L∫st∣ϕ(τ,s,z)−ϕ(τ,s,z′)∣dτ\begin{aligned} \eta(t)&:=|\phi(t,s,z)-\phi(t,s,z')|\\ &\leq|z-z'|+\int_s^t|f(\tau,\phi(\tau,s,z))-f(\tau,\phi(\tau,s,z'))|d\tau\\ &\leq|z-z'|+L\int_s^t|\phi(\tau,s,z)-\phi(\tau,s,z')|d\tau \end{aligned}

即

0≤η(t)≤∣z−z′∣+L∫stη(τ)dτ0\leq \eta(t) \leq|z-z'|+L\int_s^t\eta(\tau)d\tau

若η(t)=a+L∫stη(τ)dτ\eta(t)=a+L\int_s^t\eta(\tau)d\tau, 那么η′(t)=Lη(t)\eta'(t)=L\eta(t), 有η(t)=aeL(t−s)\eta(t)=ae^{L(t-s)}. 我们希望η(t)≤∣z−z′∣eL(t−s)\eta(t)\leq |z-z'|e^{L(t-s)}.

**定理 (Grönwall不等式) **
η:[t0,t1]→[0,∞)\eta:[t_0,t_1]\to[0,\infin)连续, 设a,b≥0a,b\geq 0, s.t.

η(t)≤a+b∫t0tη(τ)dτ,t∈[t0,t1]\eta(t)\leq a+b\int_{t_0}^t \eta(\tau)d\tau,\quad t\in[t_0,t_1]

则0≤η(t)≤aeb(t−t0)0\leq \eta(t) \leq ae^{b(t-t_0)}.

证明
先设a>0a>0, 令φ(t):=a+b∫t0tη(τ)dτ\varphi(t):=a+b\int_{t_0}^t \eta(\tau)d\tau, 0≤η(t)≤φ(t)0\leq \eta(t)\leq \varphi(t), 那么φ∈C1\varphi\in C^1, φ′(t)=bη(t)\varphi'(t)=b\eta(t), 从而

(ln⁡φ(t))′=φ′(t)φ(t)=bη(t)φ(t)≤b(\ln\varphi(t))'= \frac{\varphi'(t)}{\varphi(t)}=\frac{b\eta(t)}{\varphi(t)}\leq b

ln⁡φ(t)−ln⁡φ(t0)=∫t0t(ln⁡ϕ(τ))′dτ≤b(t−t0)\ln \varphi(t)-\ln \varphi(t_0)=\int_{t_0}^t (\ln \phi(\tau))'d\tau \leq b(t-t_0)

从而φ(t)φ(t0)≤eb(t−t0)\frac{\varphi(t)}{\varphi(t_0)}\leq e^{b(t-t_0)}, 0≤η(t)≤φ(t)≤aeb(t−t0)0\leq \eta(t)\leq \varphi(t)\leq ae^{b(t-t_0)}.
下设a=0a=0. ∀a′>0\forall a'>0,

0≤η(t)≤a′eb(t−t0)≤a′eb(t1−t0),t∈[t0,t1]0\leq \eta(t)\leq a'e^{b(t-t_0)}\leq a'e^{b(t_1-t_0)},\quad t\in[t_0,t_1]

从而η(t)≡0\eta(t)\equiv 0.

解关于初值的连续依赖

引理
f:U→Rdf:U\to \mathbb{R}^d连续, f∈Lipx,loc(U)f\in Lip_{x,loc}(U), 设(s,z)∈U(s,z)\in U, 设ϕ(t,s,z):[s−κ1,s+κ2]→Rd\phi(t,s,z):[s-\kappa_1,s+\kappa_2]\to \mathbb{R}^d是I(s,z)\mathcal{I}(s,z)在区间[s−κ1,s+κ2][s-\kappa_1,s+\kappa_2]上的解. 记Γ={(t,ϕ(t,s,z)):t∈I}\Gamma=\{(t,\phi(t,s,z)):t\in I\}, 令Γ(ϵ)={(t,x)∈U:d((t,x),Γ)≤ϵ}\Gamma(\epsilon)=\{(t,x)\in U:d((t,x),\Gamma)\leq \epsilon \}, 可知Γ(ϵ)⊂U\Gamma(\epsilon)\subset U为紧集. 设L=L(Γ(ϵ))>0L=L(\Gamma(\epsilon))>0, ∃δ=δ(L,κ1,κ2,ϵ)>0\exist \delta=\delta(L,\kappa_1,\kappa_2,\epsilon)>0, s.t. ∀z′∈B(z,δ)\forall z'\in B(z,\delta), I(s,z′)\mathcal{I}(s,z')的解ϕ(t,s,z′)\phi(t,s,z')的定义区间至少也为I=[s−κ1,s+κ2]I=[s-\kappa_1,s+\kappa_2], 且

∣ϕ(t,s,z)−ϕ(t,s,z′)∣≤∣z−z′∣eL∣t−s∣|\phi(t,s,z)-\phi(t,s,z')|\leq|z-z'|e^{L|t-s|}

证明

ϕ(t,s,z)=z+∫stf(τ,ϕ(τ,s,z))dτ\phi(t,s,z)=z+\int_s^t f(\tau,\phi(\tau,s,z))d\tau

ϕ(t,s,z′)=z′+∫stf(τ,ϕ(τ,s,z′))dτ\phi(t,s,z')=z'+\int_s^t f(\tau,\phi(\tau,s,z'))d\tau

η(t):=∣ϕ(t,s,z)−ϕ(t,s,z′)∣≤∣z−z′∣+∫st∣f(τ,ϕ(τ,s,z))−f(τ,ϕ(τ,s,z′))∣dτ≤∣z−z′∣+L∫st∣ϕ(τ,s,z)−ϕ(τ,s,z′)∣dτ≤∣z−z′∣+L∫stη(τ)dτ\begin{aligned} \eta(t)&:=|\phi(t,s,z)-\phi(t,s,z')| \\ &\leq |z-z'|+\int_s^t|f(\tau,\phi(\tau,s,z))-f(\tau,\phi(\tau,s,z'))|d\tau\\ &\leq |z-z'|+L\int_s^t|\phi(\tau,s,z)-\phi(\tau,s,z')|d\tau\\ &\leq |z-z'|+L\int_s^t \eta(\tau)d\tau \end{aligned}

∀z′∈B(z,δ)\forall z'\in B(z,\delta), 设ϕ(t,s,z′)\phi(t,s,z')为I(s,z′)\mathcal{I}(s,z')的解, 由极大积分曲线离开任何紧子集, 对Γ(s)\Gamma(s), 存在T>sT>s, s.t. (t,ϕ(t,s,z′))∈Γ(ϵ)(t,\phi(t,s,z'))\in \Gamma(\epsilon), t∈[s,T]t\in[s,T]. ∃tn↓T\exist t_n \downarrow T, s.t.(tn,ϕ(tn,s,z))∉Γ(ϵ)(t_n,\phi(t_n,s,z))\notin \Gamma(\epsilon).
断言: T≥s+κ2T\geq s+\kappa_2.
否则s<T<s+κ2s<T<s+\kappa_2, 则有d((T,ϕ(T,s,z′)),Γ)=ϵd((T,\phi(T,s,z')),\Gamma)=\epsilon, 对∀s≤t≤T\forall s\leq t \leq T, 有

η(t)≤∣z−z′∣+L∫stη(τ)dτ\eta(t)\leq |z-z'|+L\int_s^t \eta(\tau)d\tau

由Grönwall

0≤η(t)≤∣z−z′∣eL(t−s)0\leq \eta(t)\leq |z-z'|e^{L(t-s)}

那么

∣(T,ϕ(T,s,z))−(T,ϕ(T,s,z′))∣=∣ϕ(T,s,z)−ϕ(T,s,z′)∣=η(T)≤∣z−z′∣eL(T−s)≤δeLκ2=ϵ2\begin{aligned} |(T,\phi(T,s,z))-(T,\phi(T,s,z'))|&=|\phi(T,s,z)-\phi(T,s,z')|=\eta(T)\\ &\leq |z-z'|e^{L(T-s)}\\ &\leq \delta e^{L\kappa_2}=\frac{\epsilon}{2} \end{aligned}

矛盾, 从而断言成立.

定理
对∀(s,z)∈U\forall (s,z)\in U, 记I(s,z)\mathcal{I}(s,z)的极大解为(ϕ(t,s,z),I(s,z))(\phi(t,s,z),I_{(s,z)}), 定义W={(t,s,z):(s,z)∈U,t∈I(s,z)}⊂Rd+2W=\{(t,s,z):(s,z)\in U,t\in I_{(s,z)}\}\subset \mathbb{R}^{d+2}, 则WW为开集, 且为ϕ\phi的定义域, ϕ\phi在WW上连续.

证明
∀σ0=(t0,s0,z0)∈W\forall \sigma_0=(t_0,s_0,z_0)\in W, ∃δ>0,C>0\exist \delta>0,C>0, s.t. U(δ0):=(t0−δ,t0+δ)×(s0−δ,s0+δ)×B(z0,δ)⊂WU(\delta_0):=(t_0-\delta,t_0+\delta)\times(s_0-\delta,s_0+\delta)\times B(z_0,\delta)\subset W, 且∀σ=(t,s,z)∈U(σ0)\forall \sigma=(t,s,z)\in U(\sigma_0), 有

∣ϕ(t,s,z)−ϕ(t0,s0,z0)∣≤C(∣t−t0∣+∣s−s0∣+∣z−z0∣)|\phi(t,s,z)-\phi(t_0,s_0,z_0)|\leq C(|t-t_0|+|s-s_0|+|z-z_0|)

记zs=ϕ(s,s0,z0)z_s=\phi(s,s_0,z_0), (s,zs)∈Γ(s,z0)(s,z_s)\in \Gamma(s,z_0), 那么I(s,zs)\mathcal{I}(s,z_s)的极大解ϕ(t,s,zs)=ϕ(t,s0,z0)\phi(t,s,z_s)=\phi(t,s_0,z_0).
由t0∈I(s0,z0)t_0\in I_{(s_0,z_0)}, ∃δ0>0\exist \delta_0>0, s.t. [t0−δ0,t0+δ0]⊂I(s0,z0)[t_0-\delta_0,t_0+\delta_0]\subset I_{(s_0,z_0)}, 记Γ={(t,ϕ(t,s0,z0)):t∈[s0−δ0,t0+δ0]}\Gamma=\{(t,\phi(t,s_0,z_0)):t\in [s_0-\delta_0,t_0+\delta_0]\}, M=max⁡(t,x)∈Γ(ϵ)∣f(t,x)∣M=\max_{(t,x)\in \Gamma(\epsilon)}|f(t,x)|, 对(s,zs)(s,z_s)与(s,z)(s,z)用性质, 有∣z−zs∣<δ1=e−L(t0−s0+2δ0)ϵ/2|z-z_s|<\delta_1=e^{-L(t_0-s_0+2\delta_0)}\epsilon/2, 故ϕ(t,s,z)\phi(t,s,z)的解也至少在[s0+δ0,t0+δ0][s_0+\delta_0,t_0+\delta_0]上存在且连续, 那么∣z−zs∣≤∣z−z0∣+∣z0−zs∣<δ+M∣s−s0∣<δ+Mδ<δ1|z-z_s|\leq|z-z_0|+|z_0-z_s|<\delta+M|s-s_0|<\delta+M\delta<\delta_1. 当δ=δ1/(1+M)\delta=\delta_1/(1+M)时∣s−s0∣<δ,∣z−z0∣<δ|s-s_0|<\delta,|z-z_0|<\delta, 故ϕ(t,s,z)\phi(t,s,z)至少在[s0−δ0,t0+δ0][s_0-\delta_0,t_0+\delta_0]上有定义, (t0−δ,t0+δ)⊂[s0−δ0,t0+δ0]⊂I(s,t)(t_0-\delta,t_0+\delta)\subset[s_0-\delta_0,t_0+\delta_0]\subset I_{(s,t)}, (t0−δ,t0+δ)×(s0−δ,s0+δ)×B(z0,δ)⊂W(t_0-\delta,t_0+\delta)\times (s_0-\delta,s_0+\delta)\times B(z_0,\delta)\subset W, 从而WW为开集.

∣ϕ(t,s,z)−ϕ(t0,s0,z0)∣≤∣ϕ(t,s,z)−ϕ(t,s0,z0)∣+∣ϕ(t,s0,z0)−ϕ(t0,s0,z0)∣≤∣ϕ(t,s,z)−ϕ(t,s,zs)∣+∣ϕ(t,s0,z0)−ϕ(t0,s0,z0)∣≤∣ϕ(t,s,z)−ϕ(t,s,zs)∣+∫t0t∣f(τ,s0,z0)∣dτ≤∣z−zs∣eLκ+M∣t−t0∣≤(∣z−z0∣+M∣s−s0∣)eLκ+M∣t−t0∣\begin{aligned} |\phi(t,s,z)-\phi(t_0,s_0,z_0)|&\leq |\phi(t,s,z)-\phi(t,s_0,z_0)|+|\phi(t,s_0,z_0)-\phi(t_0,s_0,z_0)|\\ &\leq |\phi(t,s,z)-\phi(t,s,z_s)|+|\phi(t,s_0,z_0)-\phi(t_0,s_0,z_0)|\\ &\leq |\phi(t,s,z)-\phi(t,s,z_s)|+\int_{t_0}^t|f(\tau,s_0,z_0)|d\tau\\ &\leq |z-z_s|e^{L\kappa}+M|t-t_0|\\ &\leq (|z-z_0|+M|s-s_0|)e^{L\kappa}+M|t-t_0| \end{aligned}

解关于参数的连续依赖

U~⊂Rd+1+d′\tilde{U}\subset \mathbb{R}^{d+1+d'}开, f:U~→Rdf:\tilde{U}\to \mathbb{R}^d连续, 考虑IVP{x˙=f(t,x,λ)x(s)=z\begin{cases} \dot{x}=f(t,x,\lambda)\\ x(s)=z \end{cases}的解ϕ(t,s,z,λ)\phi(t,s,z,\lambda).

定义
称f∈Lip(x,λ),loc(U~)f\in Lip_{(x,\lambda),loc}(\tilde{U}), 若∀K⊂U~\forall K\subset \tilde{U}为紧集, ∃L(K)>0\exist L(K)>0, s.t.

∣f(t,x,λ)−f(t,x′,λ′)∣≤L(∣x−x′∣+∣λ−λ′∣)|f(t,x,\lambda)-f(t,x',\lambda')|\leq L(|x-x'|+|\lambda-\lambda'|)

性质
设U~⊂Rd+1+d′\tilde{U}\subset \mathbb{R}^{d+1+d'}开, f:U~→Rdf:\tilde{U}\to \mathbb{R}^d连续且f∈Lip(x,λ),loc(U~)f\in Lip_{(x,\lambda),loc}(\tilde{U}), ∀(s,z,λ)∈U~\forall(s,z,\lambda)\in \tilde{U}, 记I(s,z,λ)\mathcal{I}(s,z,\lambda)的极大解为(ϕ(t,s,z,λ),I(s,z,λ))(\phi(t,s,z,\lambda),I_{(s,z,\lambda)}), 则W~:={(t,s,z,λ):(s,z,λ)∈U~,t∈I(s,z,λ)}\tilde{W}:=\{(t,s,z,\lambda):(s,z,\lambda)\in\tilde{U},t\in I_{(s,z,\lambda)}\}为Rd+1+d′\mathbb{R}^{d+1+d'}中的开集, 其为ϕ\phi的定义域, 进一步ϕ\phi在W~\tilde{W}上连续.

证明
参数变初值
记F:U~→Rd+d′,(t,x,y)↦(f(t,x,y),0)F:\tilde{U}\to \mathbb{R}^{d+d'},\quad (t,x,y)\mapsto (f(t,x,y),0), 那么F∈C(U~)∩Lip(x,y),loc(U~)F\in C(\tilde{U})\cap Lip_{(x,y),loc}(\tilde{U}), 对于{X˙=F(t,X)X(s)=(z,λ)\begin{cases} \dot{X}=F(t,X)\\ X(s)=(z,\lambda) \end{cases}, X=(x,y)X=(x,y), 其解ϕ(t,s,z,λ)\phi(t,s,z,\lambda), 那么ϕ(t,s,z,λ)\phi(t,s,z,\lambda)在W~\tilde{W}上连续, (x˙,y˙)=(f(t,x,y),0)(\dot{x},\dot{y})=(f(t,x,y),0), {x˙=f(t,x,y)x(s)=zy˙=0y(s)=λ\begin{cases} \dot{x}=f(t,x,y) \quad x(s)=z\\ \dot{y}=0 \quad y(s)=\lambda \end{cases}, 有y(t)≡λy(t)\equiv \lambda, 带入上方即有结论正确.

解关于初值和参数的光滑依赖性

C1C^1 光滑情形

f:U→Rdf:U\to \mathbb{R}^d, f∈C1(U;Rd)f\in C^1(U;\mathbb{R}^d), 那么f∈C(U)∩Lipx,loc(U)f\in C(U)\cap Lip_{x,loc}(U).

对于ϕ(t,s,z)=z+∫stf(τ,ϕ(τ,s,z))dτ\phi(t,s,z)=z+\int_s^t f(\tau,\phi(\tau,s,z))d\tau,

∂ϕ∂z(t,s,z)=Id+∫st∂f∂x(τ,ϕ(τ,s,z))∂ϕ∂z(τ,s,z)dτ\frac{\partial \phi}{\partial z}(t,s,z)=I_d+\int_s^t\frac{\partial f}{\partial x}(\tau,\phi(\tau,s,z))\frac{\partial \phi}{\partial z}(\tau,s,z)d\tau

记为Φ(t)=Id+∫stA(τ)Φ(τ)dτ\Phi(t)=I_d+\int_s^t A(\tau)\Phi(\tau)d\tau, 则Φ′(t)=A(t)Φ(t)\Phi'(t)=A(t)\Phi(t).

考虑x˙=f(t,x)\dot{x}=f(t,x)一阶变分方程{X˙=A(t)XX(s)=Id\begin{cases} \dot{X}=A(t)X \\ X(s)=I_d \end{cases}.

A(t,s,z):=∂f∂x(t,ϕ(t,s,z))A(t,s,z):=\frac{\partial f}{\partial x}(t,\phi(t,s,z))连续, 下面讨论{X˙=A(t,s,z)X=F(t,X,s,z)X(s)=Id\begin{cases} \dot{X}=A(t,s,z)X=F(t,X,s,z) \\ X(s)=I_d \end{cases}. 记ω=(s,z)\omega=(s,z), 将ss换为τ\tau.

引理
I⊂RI\subset \mathbb{R}紧, K⊂RmK\subset \mathbb{R}^m紧, A:I×K→Md(R),(t,ω)↦A(t,ω)A:I\times K\to M_d(\mathbb{R}),\quad (t,\omega)\mapsto A(t,\omega)连续, 取τ∈I\tau\in I, 取ω∈K\omega\in K, 取B∈Md(R)B\in M_d(\mathbb{R}), 则{X˙=A(t,ω)XX(τ)=B\begin{cases} \dot{X}=A(t,\omega)X \\ X(\tau)=B \end{cases}的解在II上有定义且唯一. 记解为Φ(t,τ,ω)\Phi(t,\tau,\omega), 则Φ\Phi的定义域为I×I×KI\times I\times K且Φ\Phi在I×I×KI\times I\times K上连续.

证明
S=C(I×I×K;Md(R))S=C(I\times I\times K;M_d(\mathbb{R})), 定义P:S→S,ϕ(t,τ,ω)↦(Pϕ)(t,τ,ω)P:S\to S,\quad \phi(t,\tau,\omega)\mapsto (P\phi)(t,\tau,\omega), 其中

(Pϕ)(t,τ,ω):=B+∫τtA(u,ω)ϕ(u,τ,ω)du(P\phi)(t,\tau,\omega):=B+\int_\tau^tA(u,\omega)\phi(u,\tau,\omega)du

可以证明{Pnϕ}\{P^n\phi\}是SS中Cauchy列, 设Pnϕ→ΦP^n\phi \to \Phi, Φ(t,τ,ω)=B+∫τtA(u,ω)Φ(u,τ,ω)du\Phi(t,\tau,\omega)=B+\int_\tau^t A(u,\omega)\Phi(u,\tau,\omega)du.

性质
(t,ω)∈V⊂Rd+1(t,\omega)\in V\subset \mathbb{R}^{d+1}, ∀ω∈Rd\forall \omega\in \mathbb{R}^d, 定义VV的截口Vω={t∈R:(t,ω)∈V}V_\omega=\{t\in \mathbb{R}:(t,\omega)\in V\}, 设VωV_\omega均为开区间, A:V→MdR,(t,ω)↦A(t,ω)A:V\to M_d{\mathbb{R}},\quad (t,\omega)\mapsto A(t,\omega), AA连续. 固定B∈Md(R)B\in M_d(\mathbb{R}), ∀(τ,ω)∈V\forall (\tau,\omega)\in V, 考虑初值问题{X˙=A(t,ω)XX(τ)=B\begin{cases} \dot{X}=A(t,\omega)X \\ X(\tau)=B \end{cases}, 则该初值问题的解在VωV_\omega上存在且唯一, 记该解为ϕ(t,τ,ω)\phi(t,\tau,\omega), 定义W={(t,τ,ω):(τ,ω)∈V,t∈Vm}W=\{(t,\tau,\omega):(\tau,\omega)\in V,t\in V_m\}, 则ϕ\phi在WW上连续.

证明
固定(τ,ω)∈V(\tau,\omega)\in V, 固定(τ0,ω0,t0)(\tau_0,\omega_0,t_0), ω→Vω\omega \to V_\omega, 任取II, s.t. t0,τ0∈I⊂Vωt_0,\tau_0 \in I \subset V_\omega紧, 取K=B(ω0,δ)‾K=\overline{B(\omega_0,\delta)}, 使用引理: 有解Φ(t,τ,ω)\Phi(t,\tau,\omega)在I×I×B(ω0,δ)‾I\times I\times \overline{B(\omega_0,\delta)}上连续.

V={(t,s,z):(s,z)∈U,t∈I(s,z)}V=\{(t,s,z):(s,z)\in U,t\in I_{(s,z)}\}, A:V→Md(R),(t,s,z)↦A(t,s,z)=∂f∂x(t,ϕ(t,s,z))A:V\to M_d(\mathbb{R}),\quad (t,s,z)\mapsto A(t,s,z)=\frac{\partial f}{\partial x}(t,\phi(t,s,z)), 初值问题{X˙=A(t,s,z)XX(τ)=Id\begin{cases} \dot{X}=A(t,s,z)X \\ X(\tau)=I_d \end{cases}的解存在且唯一, 记为Φ(t,τ,s,z)\Phi(t,\tau,s,z), W={(t,τ,s,z):(s,z)∈U,τ,t∈I(s,z)}W=\{(t,\tau,s,z):(s,z)\in U,\tau,t\in I_{(s,z)}\}, Φ\Phi在WW上连续.

初值问题{X˙=A(t,s,z)XX(s)=Id\begin{cases} \dot{X}=A(t,s,z)X \\ X(s)=I_d \end{cases}的解记为D(t,s,z)=Φ(t,τ,s,z)D(t,s,z)=\Phi(t,\tau,s,z). 定义域为V={(t,s,z):(s,z)∈U,t∈I(s,z)}V=\{(t,s,z):(s,z)\in U,t\in I_{(s,z)}\}.

有限增量定理
U⊂RdU\subset \mathbb{R}^d开, f:U→Rdf:U\to \mathbb{R}^d为C1C^1光滑, [z0,z]⊂U[z_0,z]\subset U, 则

∣f(z)−f(z0)−f′(z0)(z−z0)∣≤sup⁡ξ∈[z0,z]∣∣f′(ξ)−f′(z0)∣∣∣z−z0∣|f(z)-f(z_0)-f'(z_0)(z-z_0)|\leq \sup_{\xi\in [z_0,z]}||f'(\xi)-f'(z_0)|||z-z_0|

引理
U⊂Rd+1U\subset \mathbb{R}^{d+1}, f:U→Rdf:U\to \mathbb{R}^d是C1C^1的, (s,z)∈U(s,z)\in U, I(s,z)\mathcal{I}(s,z)的解ϕ(t,s,z)\phi(t,s,z)的定义域为WW, W={(t,s,z):(s,z)∈U,t∈I(s,z)}W=\{(t,s,z):(s,z)\in U,t\in I_{(s,z)}\}为开集, 则∂ϕ∂z\frac{\partial \phi}{\partial z}在WW上存在且连续.

证明
令Γ={(t,ϕ(t,s,z)):t∈[s,t0]}\Gamma=\{(t,\phi(t,s,z)):t\in[s,t_0]\}, M=max⁡(t,x)∈Γ(ϵ0)∣∂f∂x(t,x)∣M=\max_{(t,x)\in\Gamma(\epsilon_0)}|\frac{\partial f}{\partial x}(t,x)|, ∂f∂x\frac{\partial f}{\partial x}的连续模

δ(ϵ)=sup⁡{∣∣∂f∂x(p)−∂f∂x(q)∣∣:p,q∈Γ(ϵ0),∣p−q∣<ϵ}\delta(\epsilon)=\sup \{||\frac{\partial f}{\partial x}(p)-\frac{\partial f}{\partial x}(q)||:p,q\in \Gamma(\epsilon_0),|p-q|<\epsilon\}

考虑ϕ(t0,s,z′)−ϕ(t0,s,z)\phi(t_0,s,z')-\phi(t_0,s,z), 取δ>0\delta>0, 当∣z′−z∣<δ|z'-z|<\delta, ϕ(t,s,z′)\phi(t,s,z')至少在[s,t0][s,t_0]上存在且位于Γ(ϵ0)\Gamma(\epsilon_0)内, 且

∣ϕ(t,s,z′)=ϕ(t,s,z)∣≤∣z′−z∣|\phi(t,s,z')=\phi(t,s,z)|\leq |z'-z|

D(t,s,z)D(t,s,z)是{X˙=∂f∂x(t,ϕ(t,s,z))XX(s)=Id\begin{cases} \dot{X}=\frac{\partial f}{\partial x}(t,\phi(t,s,z))X \\ X(s)=I_d \end{cases}的解, 而

D(t,s,z)=Id+∫st∂f∂x(τ,ϕ(τ,s,z))D(τ,s,z)dτD(t,s,z)=I_d+\int_s^t\frac{\partial f}{\partial x}(\tau,\phi(\tau,s,z))D(\tau,s,z)d\tau

ϕ(t,s,z′)−ϕ(t,s,z)=(z′−z)+∫stf(τ,ϕ(τ,s,z′))−f(τ,ϕ(τ,s,z))dτ\phi(t,s,z')-\phi(t,s,z)=(z'-z)+\int_s^t f(\tau,\phi(\tau,s,z'))-f(\tau,\phi(\tau,s,z))d\tau

那么

η(t):=ϕ(t,s,z′)−ϕ(t,s,z)−D(t,s,z)(z′−z)=(z′−z)+∫stf(τ,ϕ(τ,s,z′))−f(τ,ϕ(τ,s,z))dτ−[(z′−z)+∫st∂f∂x(τ,ϕ(τ,s,z))D(τ,s,z)(z′−z)dτ]=∫st∂f∂x(τ,ϕ(τ,s,z))(ϕ(τ,s,z′)−ϕ(τ,s,z)−D(τ,s,z)(z′−z))+Δ(z′−z)dτ\begin{aligned} \eta(t)&:=\phi(t,s,z')-\phi(t,s,z)-D(t,s,z)(z'-z)\\ &=(z'-z)+\int_s^t f(\tau,\phi(\tau,s,z'))-f(\tau,\phi(\tau,s,z))d\tau-[(z'-z)+\int_s^t\frac{\partial f}{\partial x}(\tau,\phi(\tau,s,z))D(\tau,s,z)(z'-z)d\tau]\\ &=\int_s^t\frac{\partial f}{\partial x}(\tau,\phi(\tau,s,z))(\phi(\tau,s,z')-\phi(\tau,s,z)-D(\tau,s,z)(z'-z))+\Delta(z'-z)d\tau \end{aligned}

后半部分

∣Δ(z′,z)∣≤∣ϕ(τ,s,z′)−ϕ(τ,s,z)∣≤δ(∣ϕ(τ,s,z)−ϕ(τ,s,z)∣)≤C∣z−z′∣δ(c∣z−z′∣)|\Delta(z',z)| \leq |\phi(\tau,s,z')-\phi(\tau,s,z)|\leq\delta(|\phi(\tau,s,z)-\phi(\tau,s,z)|) \leq C|z-z'|\delta(c|z-z'|)

从而

η(t)≤∫stMη(τ)dτ+∫st∣Δ(z′,z)∣dτ≤∫stMη(τ)dτ+c∣z′−z∣δ(c~∣z′−z∣)\eta(t)\leq \int_s^t M\eta(\tau)d\tau+\int_s^t |\Delta(z',z)|d\tau \leq \int_s^t M\eta(\tau)d\tau+c|z'-z|\delta(\widetilde{c}|z'-z|)

即

η(t)≤c∣z′−z∣δ(c~∣z′−z∣)eM∣t−s∣=ο(∣z′−z∣)\eta(t)\leq c|z'-z|\delta(\widetilde{c}|z'-z|)e^{M|t-s|}=\omicron(|z'-z|)

这就证明了结论.

对于∂ϕ∂s\frac{\partial \phi}{\partial s}的存在性和光滑性:

∂ϕ∂s(t,s,z)=−f(s,ϕ(s,s,z))+∫st∂f∂x(τ,ϕ(τ,s,z))∂ϕ∂s(τ,s,z)dτ\frac{\partial \phi}{\partial s}(t,s,z)=-f(s,\phi(s,s,z))+\int_s^t\frac{\partial f}{\partial x}(\tau,\phi(\tau,s,z))\frac{\partial \phi}{\partial s}(\tau,s,z)d\tau

考察微分方程{X˙=∂f∂x(t,ϕ(t,s,z))XX(s)=−f(s,z)\begin{cases} \dot{X}=\frac{\partial f}{\partial x}(t,\phi(t,s,z))X \\ X(s)=-f(s,z) \end{cases}即可.
类似地推导可以得到:
性质
∂ϕ∂s\frac{\partial \phi}{\partial s}也在WW上存在且连续.

定理
I(s,z)\mathcal{I}(s,z)的解ϕ(t,s,z)\phi(t,s,z)定义在WW上, 且ϕ∈C1(W)\phi\in C^1(W), ∂ϕ∂t=f(t,ϕ(t,s,z))\frac{\partial \phi}{\partial t}=f(t,\phi(t,s,z)).

证明

∂ϕ∂z,∂ϕ∂s,∂ϕ∂t∈C0(W)\frac{\partial \phi}{\partial z},\frac{\partial \phi}{\partial s},\frac{\partial \phi}{\partial t}\in C^0(W)

推论
W∈Rd+d′+1W\in \mathbb{R}^{d+d'+1}, f:(t,x,λ)∋W^→Rdf:(t,x,\lambda)\ni \hat{W}\to \mathbb{R}^d, f∈C1(W^)f\in C^1(\hat{W}), ∀(s,z,λ)∈W^\forall(s,z,\lambda)\in \hat{W}, 记I(s,z,λ)\mathcal{I}(s,z,\lambda)的解为ϕ(t,s,z,λ)\phi(t,s,z,\lambda), 则ϕ\phi的定义域为W~={(t,s,z,λ):(s,z,λ)∈W^,t∈I(s,z,λ)}\widetilde{W}=\{(t,s,z,\lambda):(s,z,\lambda)\in \hat{W},t\in I_{(s,z,\lambda)}\}, 且ϕ∈C(W~)\phi \in C(\widetilde{W}).

CkC^k 光滑情形

定理
(1) f∈C(k)(U;Rd)f\in C^{(k)}(U;\mathbb{R}^d), 则ϕ(t,s,z;f)∈C(k)(W)\phi(t,s,z;f)\in C^{(k)}(W);
(2) F∈C(k)(W^;Rd)F\in C^{(k)}(\hat{W};\mathbb{R}^d), 则ϕ(t,s,z,λ;F)∈C(k)(W^)\phi(t,s,z,\lambda;F)\in C^{(k)}(\hat{W}).
这里k∈N∪{∞}k\in \mathbb{N}\cup \{\infin\}.

证明
k=1k=1时成立;
我们归纳法证明的路径是(1)k→(2)k→(1)k+1→⋯(1)k\to(2)k\to(1)k+1\to\cdots
假设kk成立, U⊂Rd+1U\subset \mathbb{R}^{d+1}, 先设f:U→Rdf:U\to \mathbb{R}^d, f∈C(k+1)f\in C^{(k+1)}, 那么

ϕ∈C(k+1)(W)⇔∂ϕ∂z,∂ϕ∂s,∂ϕ∂t∈C(k)(W)\phi\in C^{(k+1)}(W) \Leftrightarrow \frac{\partial \phi}{\partial z},\frac{\partial \phi}{\partial s},\frac{\partial \phi}{\partial t}\in C^{(k)}(W)

∂ϕ∂t(t,s,z)=f(t,ϕ(t,s,z))∈C(k)\frac{\partial \phi}{\partial t}(t,s,z)=f(t,\phi(t,s,z))\in C^{(k)}

∂ϕ∂z(t,s,z)=D(t,s,z)\frac{\partial \phi}{\partial z}(t,s,z)=D(t,s,z)

{X˙=∂f∂x(t,ϕ(t,s,z))X=F(t,X,s,z)X(s)=Id\begin{cases} \dot{X}=\frac{\partial f}{\partial x}(t,\phi(t,s,z))X=F(t,X,s,z) \\ X(s)=I_d \end{cases}断言F∈C(k)F\in C^{(k)}, 有D(t,s,z)=Φ(t,s,z,s)D(t,s,z)=\Phi(t,s,z,s).

∂ϕ∂s(t,s,z)=D^(t,s,z)\frac{\partial \phi}{\partial s}(t,s,z)=\hat{D}(t,s,z)

{X˙=∂f∂x(t,ϕ(t,s,z))X=F(t,X,s,z)X(τ)=y\begin{cases} \dot{X}=\frac{\partial f}{\partial x}(t,\phi(t,s,z))X=F(t,X,s,z) \\ X(\tau)=y \end{cases}, 有D^(t,s,z)=Ψ(t,s,z,s,−f(s,z))\hat{D}(t,s,z)=\Psi(t,s,z,s,-f(s,z)).
从而k+1k+1时成立, 归纳有结论成立.


ODE笔记-一阶ODE
http://imtdof.github.io/2024/10/29/ODE笔记-一阶ODE/
作者
UncleBob
发布于
2024年10月29日
许可协议