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6.3: Maximum Principle

( \newcommand{\kernel}{\mathrm{null}\,}\)

Let ΩRn be a bounded domain. Set

DT=Ω×(0,T),  T>0,ST={(x,t): (x,t)Ω×{0} or (x,t)Ω×[0,T]},

see Figure 6.3.1.

Notations to the maximum principle

Figure 6.3.1: Notations to the maximum principle

Theorem 6.2

Assume uC(¯DT), that ut, uxixk exist and are continuous in DT, and

$$u_t-\triangle u\le 0\ \ \mbox{in}\ D_T.\]

Then

$$\max_{\overline{D_T}} u(x,t)=\max_{S_T} u.\]

Proof

Assume initially utu<0 in DT. Let ε>0 be small and 0<ε<T. Since uC(¯DTε), there is an (x0,t0)¯DTε such that

$$u(x_0,t_0)=\max_{\overline{D_{T-\varepsilon}}} u(x,t).\]

Case (i)

Let (x0,t0)DTε. Hence, since DTε is open,

ut(x0,t0)=0, uxl(x0,t0)=0, l=1,,n and

$$\sum_{l,k=1}^n u_{x_lx_k}(x_0,t_0)\zeta_l\zeta_k\le0\ \ \mbox{for all}\ \zeta\in\mathbb{R}^n.\]

The previous inequality implies that uxkxk(x0,t0)0 for each k. Thus we arrived at a contradiction to utu<0 in DT.

Case (ii)

Assume (x0,t0)Ω×{Tε}. Then it follows as above u0 in (x0,t0), and from u(x0,t0)u(x0,t), tt0, one concludes that ut(x0,t0)0. We arrived at a contradiction to utu<0 in DT again.

Summarizing, we have shown that

$$\max_{\overline{D_{T-\varepsilon}}} u(x,t)=\max_{T-\varepsilon} u(x,t).\]

Thus there is an (xε,tε)STε such that

$$u(x_\varepsilon,t_\varepsilon)=\max_{\overline{D_{T-\varepsilon}}} u(x,t).\]

Since u is continuous on ¯DT, we have

$$\lim_{\varepsilon\to 0}\max_{\overline{D_{T-\varepsilon}}} u(x,t)=\max_{\overline{D_T}} u(x,t).\]

It follows that there is (¯x,¯t)ST such that

$$u(\overline{x},\overline{t})=\max_{\overline{D_T}} u(x,t)\]

since STεST and ST is compact. Thus, theorem is shown under the assumption utu<0 in DT. Now assume utu0 in DT. Set

$$v(x,t):=u(x,t)-kt,\]

where k is a positive constant. Then

$$v_t-\triangle v=u_t-\triangle u-k<0.\]

From above we have

max¯DTu(x,t)=max¯DT(v(x,t)+kt)max¯DTv(x,t)+kT=maxSTv(x,t)+kTmaxSTu(x,t)+kT,

Letting k0, we obtain

$$\max_{\overline{D_T}} u(x,t)\le\max_{S_T} u(x,t).\]

Since ST¯DT, the theorem is shown.

If we replace in the above theorem the bounded domain Ω by Rn, then the result remains true provided we assume an {\it additional} growth assumption for u. More precisely, we have the following result which is a corollary of the previous theorem. Set for a fixed T, 0<T<,

$$D_T=\{ (x,t):\ x\in\mathbb{R}^n,\ 0<t<T\}.\]

Proposition 6.2

Assume uC(¯DT), that ut, uxixk exist and are continuous in DT,

$$u_t-\triangle u\le 0\ \ \mbox{in}\ D_T,\]

and additionally that u satisfies the growth condition

$$u(x,t)\le Me^{a|x|^2},\]

where M and a are positive constants.

Then

$$\max_{\overline{D_T}} u(x,t)=\max_{S_T} u.\]

It follows immediately the

Corollary

The initial value problem utu=0 in DT, u(x,0)=f(x), xRn, has a unique solution in the class defined by uC(¯DT), ut, uxixk exist and are continuous in DT and |u(x,t)|Mea|x|2.

Proof of Proposition 6.2.

See [10], pp. 217. We can assume that 4aT<1, since the finite interval can be divided into finite many intervals of equal length τ with
4aτ<1. Then we conclude successively for k that

$$u(x,t)\le\sup_{y\in\mathbb{R}^n}u(y,k\tau)\le\sup_{y\in\mathbb{R}^n}u(y,0)\]

for kτt(k+1)τ, k=0,,N1, where N=T/τ.

There is an ϵ>0 such that 4a(T+ϵ)<1. Consider the comparison function
vμ(x,t):=u(x,t)μ(4π(T+ϵt))n/2e|xy|2/(4(T+ϵt))=u(x,t)μK(ix,iy,T+ϵt)

for fixed yRn and for a constant μ>0. Since the heat kernel K(ix,iy,t) satisfies Kt=Kx, we obtain

$$\frac{\partial}{\partial t}v_\mu-\triangle v_\mu=u_t-\triangle u\le0.\]

Set for a constant ρ>0

$$D_{T,\rho}=\{(x,t):\ |x-y|<\rho,\ 0<t<T\}.\]

Then we obtain from Theorem 6.2 that

$$v_\mu(y,t)\le\max_{S_{T,\rho}}v_\mu,\]

where ST,ρST of Theorem 6.2 with Ω=Bρ(y), see Figure 6.3.1.

On the bottom of ST,ρ we have, since μK>0,

$$v_\mu(x,0)\le u(x,0)\le\sup_{z\in\mathbb{R}^n}f(z).\]

On the cylinder part |xy|=ρ, 0tT, of ST,ρ it is

vμ(x,t)Mea|x|2μ(4π(T+ϵt))n/2eρ2/(4(T+ϵt))Mea(|y|+ρ)2μ(4π(T+ϵ))n/2eρ2/(4(T+ϵ))supzRnf(z)
for all ρ>ρ0(μ), ρ0 sufficiently large. We recall that 4a(T+ϵ)<1.
Summarizing, we have

$$\max_{S_{T,\rho}}v_\mu(x,t)\le\sup_{z\in\mathbb{R}^n}f(z)\]

if ρ>ρ0(μ). Thus

$$v_\mu(y,t)\le\max_{S_{T,\rho}}v_\mu(x,t)\le\sup_{z\in\mathbb{R}^n}f(z)\]

if ρ>ρ0(μ).

Since

$$v_\mu(y,t)=u(y,t)-\mu\left(4\pi(T+\epsilon-t)\right)^{-n/2}\]

it follows

$$u(y,t)-\mu\left(4\pi(T+\epsilon-t)\right)^{-n/2}\le\sup_{z\in\mathbb{R}^n}f(z).\]

Letting μ0, we obtain the assertion of the proposition.

The above maximum principle of Theorem 6.2 holds for a large class of parabolic differential operators, even for degenerate equations.

Set

$$Lu=\sum_{i,j=1}^na^{ij}(x,t)u_{x_ix_j},\]

where aijC(DT) are real, aij=aji, and the matrix (aij) is non-negative, that is,

$$\sum_{i,j=1}^na^{ij}(x,t)\zeta_i\zeta_j\ge 0\ \ \mbox{for all}\ \zeta\in\mathbb{R}^n,\]

and (x,t)DT.

Theorem 6.3

Assume uC(¯DT), that ut, uxixk exist and are continuous in DT, and

$$u_t-L u\le 0\ \ \mbox{in}\ D_T.\]

Then

$$\max_{\overline{D_T}} u(x,t)=\max_{S_T} u.\]

Proof

(i) One proof is a consequence of the following lemma: let A, B real, symmetric and non-negative matrices. Non-negative means that all eigenvalues are non-negative. Then trace~(AB)ni,j=1aijbij0, see an exercise.

(ii) Another proof is more directly: let U=(z1,,zn), where zl is an orthonormal system of eigenvectors to the eigenvalues λl of the matrix A=(ai,j(x0,t0)). Set ζ=Uη, x=UT(xx0)y and v(y)=u(x0+Uy,t0), then

0ni,j=1aij(x0,t0)ζiζj=ni=1λiη2i0ni,j=1uxixjζiζj=ni=1vyiyiη2i.

It follows λi0 and vyiyi0 for all i.

Consequently

$$\sum_{i,j=1}^na^{ij}(x_0,t_0)u_{x_ix_j}(x_0,t_0)=\sum_{i=1}^n\lambda_iv_{y_iy_i}\le0.\]

Contributors and Attributions


This page titled 6.3: Maximum Principle is shared under a not declared license and was authored, remixed, and/or curated by Erich Miersemann.

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