Almost everywhere convergence of a of measurable functions means the following: a sequence (fn)(f_n) of on a (X,Σ,μ)(X,\Sigma,\mu) converges almost everywhere to a function ff if there exists a N⊆XN\subseteq X such that for every x∈X∖Nx\in X\setminus N the fn(x)→f(x)f_n(x)\to f(x) holds as n→∞n\to\infty.

Equivalent characterizations

Equivalently,

μ({x∈X:fn(x)↛f(x)})=0.\mu\bigl(\{x\in X : f_n(x)\not\to f(x)\}\bigr)=0.
Remarks

Almost everywhere convergence is a central hypothesis in results such as the and . It is one of the standard modes of convergence alongside and .

Examples
  • On ([0,1],B,λ)([0,1],\mathcal{B},\lambda), the sequence fn(x)=xnf_n(x)=x^n converges almost everywhere to f(x)=0f(x)=0 (the only exceptional point is x=1x=1).
  • On ((0,1),B,λ)((0,1),\mathcal{B},\lambda), the functions fn(x)=n 1(0,1/n)(x)f_n(x)=n\,\mathbf{1}_{(0,1/n)}(x) satisfy fn(x)→0f_n(x)\to 0 almost everywhere, but ∥fn∥1=∫01fn dλ=1\|f_n\|_1=\int_0^1 f_n\,d\lambda=1 for all nn, so the convergence is not convergence in Lp when p=1p=1.