In mathematics, the Hopf lemma, named after Eberhard Hopf, states that if a continuous real-valued function in a domain in Euclidean space with sufficiently smooth boundary is harmonic in the interior and the value of the function at a point on the boundary is greater than the values at nearby points inside the domain, then the derivative of the function in the direction of the outward pointing normal is strictly positive. The lemma is an important tool in the proof of the maximum principle and in the theory of partial differential equations. The Hopf lemma has been generalized to describe the behavior of the solution to an elliptic problem as it approaches a point on the boundary where its maximum is attained.
In the special case of the Laplacian, the Hopf lemma had been discovered by Stanisław Zaremba in 1910.[1] In the more general setting for elliptic equations, it was found independently by Hopf and Olga Oleinik in 1952, although Oleinik's work is not as widely known as Hopf's in Western countries.[2] [3] There are also extensions which allow domains with corners.[4]
Let Ω be a bounded domain in Rn with smooth boundary. Let f be a real-valued function continuous on the closure of Ω and harmonic on Ω. If x is a boundary point such that f(x) > f(y) for all y in Ω sufficiently close to x, then the (one-sided) directional derivative of f in the direction of the outward pointing normal to the boundary at x is strictly positive.
Subtracting a constant, it can be assumed that f(x) = 0 and f is strictly negative at interior points near x. Since the boundary of Ω is smooth there is a small ball contained in Ω the closure of which is tangent to the boundary at x and intersects the boundary only at x. It is then sufficient to check the result with Ω replaced by this ball. Scaling and translating, it is enough to check the result for the unit ball in Rn, assuming f(x) is zero for some unit vector x and f(y) < 0 if |y| < 1.
By Harnack's inequality applied to −f
\displaystyle{-f(rx)\ge-{1-r\over(1+r)n-1
for r < 1. Hence
\displaystyle{{f(x)-f(rx)\over1-r}={-f(rx)\over1-r}\ge-{1\over(1+r)n-1
Hence the directional derivative at x is bounded below by the strictly positive constant on the right hand side.
Consider a second order, uniformly elliptic operator of the form
Lu=aij(x)
\partial2u | |
\partialxi\partialxj |
+bi(x)
\partialu | |
\partialxi |
+c(x)u, x\in\Omega.
aij(x)
x
\Omega
Rn
c\leq0
The Weak Maximum Principle states that a solution of the equation
Lu=0
\Omega
\overline{\Omega}
\partial\Omega
x0\in\partial\Omega
\partialu | |
\partial\nu |
(x0)\geq0,
\partial/\partial\nu
u(x)
x
x0
\Omega
L
\partialu | |
\partial\nu |
(x0)>0.
A precise statement of the Lemma is as follows. Suppose that
\Omega
R2
L
u
C2(\Omega)\capC1(\overline{\Omega})
Lu\geq0, rm{in}~\Omega.
x0\in\partial\Omega
0\lequ(x0)=maxx
\Omega
C2
x0
c\leq0
u
\partialu | |
\partial\nu |
(x0)>0
\nu
The above result can be generalized in several respects. The regularity assumption on
\Omega
B\subset\Omega
x0\in\partialB
c
u(x0)=0