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Partial Differential Equations

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1.2 The Laplace Equation 7<br />

Proof. Idea: Integrate in polar coordinates<br />

Integration in polar coordinates shows that it suffices to prove the convergence of the integrals<br />

∫ R<br />

0<br />

(log r)r dr<br />

and<br />

∫ R<br />

0<br />

1<br />

r n−2 rn−1 dr.<br />

The latter is trivial, and for the integral ∫ R<br />

(log r)r dr, it is enough to prove that r log r can continuously<br />

0<br />

be extended to [0, ∞[ by 0. To see this, we set r = e −t and take into account that lim t→∞ te −t = 0.<br />

1.25<br />

1<br />

0.75<br />

0.5<br />

0.25<br />

-0.25<br />

0.5 1 1.5 2<br />

Fig. 1.3. The function x log x<br />

With the fundamental solution Φ, every function x ↦→ cΦ(x − y) with fixed c ∈ R and y ∈ R n also is<br />

a solution of the Laplace equation, i.e. they are harmonic (in their definition domains). If f : R n → R is<br />

an arbitrary function, then every function x ↦→ Φ(x − y)f(y) is harmonic. Now, summation over several<br />

y suggests that the convolution<br />

∫<br />

u(x) := Φ(x − y)f(y)dy<br />

R n<br />

is a solution of the Laplace equation if the integral converges. By Lemma 1.2.4, it does converge if f is<br />

continuous with compact support, i.e. if f ∈ C c (R n ). But, the interchange of derivatives and integral is<br />

not justified. We rather have the following result.<br />

Theorem 1.2.5. Let f ∈ Cc 2 (R n ), and let<br />

{<br />

−<br />

1<br />

2π<br />

log |x| for n = 2,<br />

Φ(x) =<br />

1 1<br />

n(n−2)α(n) |x|<br />

for n ≥ 3.<br />

n−2<br />

Then, u(x) := ∫ R n Φ(x − y)f(y)dy defines a function in C 2 (R n ) which satisfies −∆u = f, i.e. it solves<br />

the Poisson equation with respect to f.<br />

Proof. Idea: Calculate the partial derivatives of u via the definition and use integration by parts to determine<br />

∆u. This can be done separating the singularity 0 by a sphere of radius ε.<br />

We already saw that u: R n → R is a well defined function. Since u(x) = ∫ Φ(y)f(x − y) dy, for the<br />

R n<br />

j-th unit vector e j = (0, . . . , 0, 1, 0, . . . , 0) ∈ R n and h ≠ 0, we have<br />

∫ ( )<br />

u(x + he j ) − u(x)<br />

f(x + hej − y) − f(x − y)<br />

= Φ(y)<br />

dy.<br />

h<br />

R h<br />

n<br />

By the Mean Value Theorem, one sees that f(x+hej−y)−f(x−y)<br />

h<br />

uniformly converges to ∂f<br />

∂x j<br />

(x − y) for<br />

h → 0 since the derivative is bounded. By dominated convergence, we get<br />

u(x + he j ) − u(x)<br />

lim<br />

=<br />

h→0 h<br />

∫<br />

R n Φ(y) ∂f<br />

∂x j<br />

(x − y) dy.<br />

Since the expression is continuous in x this shows the continuous differentiability of u and the formula

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