Let μ be a Borel probability measure on [0,1] that has no atoms (this means that μ({t})=0 for any t∈[0,1]). Let also μ1,μ2,… be Borel probability measures on [0,1]. Assume that μn converges to μ in the weak-* topology. Denote F(t)=μ([0,t]) and Fn(t)=μn([0,t]) for each n≥1 and t∈[0,1]. Prove that Fn converges uniformly to F.
Solution.
Let {fn}n,{gn}n be continuous functions such that fn≤χ[0,t]≤gn for all n and so that fn increases to χ[0,t) and gn decreases to χ[0,t] by taking piecewise linear functions. Then
∫fkdμn≤μn([0,t])≤∫fkdμ⟹∫fkdμ≤n→∞liminfμn([0,t])≤n→∞limsupμn([0,t])≤∫gkdμ,
by weak-* convergence. We can then apply monotone convergence on the left-most integral and dominated convergence on the right-most integral to get
μ([0,t))≤n→∞liminfμn([0,t])≤n→∞limsupμn([0,t])≤μ([0,t]).
Since μ has no atoms, these are all equalities, so Fn converges pointwise to F. To prove pointwise convergence, let ε>0. Since F is continuous, it is uniformly continuous, so let δ>0 be as in the definition of uniform continuity. Then by compactness, there exist 0=t0<t1<⋯<tN=1 such that the B(ti,δ) cover [0,1]. By pointwise convergence, there exists M∈N such that for n>M, ∣Fn(ti)−F(ti)∣<ε for all 1≤i≤N. Thus, given t∈[0,1], there exists i such that t∈[ti,ti+1], and so by monotonicity of every function,
∣Fn(t)−F(t)∣≤∣Fn(t)−Fn(ti)∣+∣Fn(ti)−F(ti)∣+∣F(ti)−F(t)∣≤Fn(t)−Fn(ti)+2ε≤Fn(ti+1)−Fn(ti)+(F(ti+1)−F(ti))+2ε≤∣Fn(ti+1)−F(ti+1)∣+∣Fn(ti)−F(ti)∣+2ε≤4ε,
so the convergence is uniform.