TheoremComplete

The Poisson Integral Formula

The Poisson integral formula provides an explicit solution to the Dirichlet problem on the disk and reveals the reproducing kernel structure of harmonic functions.


Statement

Theorem8.12Poisson integral formula

Let uu be harmonic on the open disk D(0,R)D(0, R) and continuous on D(0,R)\overline{D}(0, R). Then for every z=reiϕz = re^{i\phi} with r<Rr < R:

u(reiϕ)=12π02πPr(ϕθ)u(Reiθ)dθu(re^{i\phi}) = \frac{1}{2\pi}\int_0^{2\pi} P_r(\phi - \theta)\,u(Re^{i\theta})\,d\theta

where the Poisson kernel is

Pr(ψ)=R2r2R22Rrcosψ+r2=Re(Reiψ+rReiψr).P_r(\psi) = \frac{R^2 - r^2}{R^2 - 2Rr\cos\psi + r^2} = \text{Re}\left(\frac{Re^{i\psi} + r}{Re^{i\psi} - r}\right).


Proof

Proof

Step 1. By the Cauchy integral formula, for z<R|z| < R and f=u+ivf = u + iv holomorphic:

f(z)=12πiζ=Rf(ζ)ζzdζ.f(z) = \frac{1}{2\pi i}\oint_{|\zeta|=R}\frac{f(\zeta)}{\zeta - z}\,d\zeta.

With ζ=Reiθ\zeta = Re^{i\theta}, dζ=iReiθdθd\zeta = iRe^{i\theta}\,d\theta:

f(z)=12π02πReiθReiθzf(Reiθ)dθ.f(z) = \frac{1}{2\pi}\int_0^{2\pi}\frac{Re^{i\theta}}{Re^{i\theta} - z}\,f(Re^{i\theta})\,d\theta.

Step 2. The point R2/zˉR^2/\bar{z} lies outside ζ=R|\zeta| = R, so by Cauchy's theorem:

0=12π02πReiθReiθR2/zˉf(Reiθ)dθ=12π02πzˉeiθzˉeiθRf(Reiθ)dθ.0 = \frac{1}{2\pi}\int_0^{2\pi}\frac{Re^{i\theta}}{Re^{i\theta} - R^2/\bar{z}}\,f(Re^{i\theta})\,d\theta = \frac{1}{2\pi}\int_0^{2\pi}\frac{\bar{z}e^{i\theta}}{\bar{z}e^{i\theta} - R}\,f(Re^{i\theta})\,d\theta.

Step 3. Subtract the conjugate of Step 2 from Step 1. After simplification:

u(z)=Re(f(z))=12π02πRe(Reiθ+zReiθz)u(Reiθ)dθu(z) = \text{Re}(f(z)) = \frac{1}{2\pi}\int_0^{2\pi}\text{Re}\left(\frac{Re^{i\theta}+z}{Re^{i\theta}-z}\right)u(Re^{i\theta})\,d\theta

since only the real part of ff contributes (by taking real parts of both sides). The kernel is

ReReiθ+zReiθz=R2z2Reiθz2=Pr(ϕθ).\text{Re}\frac{Re^{i\theta}+z}{Re^{i\theta}-z} = \frac{R^2 - |z|^2}{|Re^{i\theta}-z|^2} = P_r(\phi - \theta). \qquad \blacksquare


Properties of the Poisson Kernel

RemarkKey properties

The Poisson kernel Pr(ψ)P_r(\psi) satisfies:

  1. Positivity: Pr(ψ)>0P_r(\psi) > 0 for r<Rr < R.
  2. Normalization: 12π02πPr(ψ)dψ=1\frac{1}{2\pi}\int_0^{2\pi} P_r(\psi)\,d\psi = 1.
  3. Approximate identity: Pr(ψ)0P_r(\psi) \to 0 uniformly on [δ,2πδ][\delta, 2\pi-\delta] as rRr \to R^- for any δ>0\delta > 0.
  4. Fourier series: Pr(ψ)=1+2n=1(r/R)ncos(nψ)P_r(\psi) = 1 + 2\sum_{n=1}^\infty (r/R)^n\cos(n\psi).

Properties 1--3 make PrP_r an approximate identity, ensuring that u(reiϕ)g(Reiϕ)u(re^{i\phi}) \to g(Re^{i\phi}) as rRr \to R^- at points of continuity of gg.

ExamplePoisson formula and Fourier series

If u(Reiθ)=n=cneinθu(Re^{i\theta}) = \sum_{n=-\infty}^\infty c_n e^{in\theta} is the Fourier series of the boundary data, then

u(reiϕ)=n=cn(rR)neinϕ.u(re^{i\phi}) = \sum_{n=-\infty}^\infty c_n\left(\frac{r}{R}\right)^{|n|} e^{in\phi}.

Each Fourier mode is damped by the factor (r/R)n(r/R)^{|n|} as we move inward. This explains why harmonic functions are smooth: high-frequency oscillations on the boundary are exponentially suppressed in the interior.

RemarkConnection to probability

The Poisson kernel can be interpreted probabilistically: u(z)u(z) is the expected value of g(Bτ)g(B_\tau) where BtB_t is a Brownian motion starting at zz and τ\tau is the first exit time from the disk. This connection to stochastic processes extends to general domains.