Choose K≥0 with ∣u(s)∣≤K for all s∈[0,T]. Since u is measurable and bounded and [0,T] carries a finite restricted Lebesgue measure, u is integrable on [0,t] for every t∈[0,T], so the hypothesis is meaningful.
Define v:[0,T]→R by
v(t)=a+c∫[0,t]u(s)ds.
Step 1: v is continuous. Let 0≤r≤t≤T. Writing u1[0,t]=u1[0,r]+u1(r,t], where 1D denotes the function equal to 1 on D and 0 elsewhere, and using linearity of the integral,
v(t)−v(r)=c∫(r,t]u(s)ds.
Since −K≤u≤K, monotonicity of the integral gives ∣v(t)−v(r)∣≤cK(t−r). Hence, given ε>0, the choice δ=ε/(cK+1)>0 makes ∣v(t)−v(r)∣<ε whenever t,r∈[0,T] satisfy ∣t−r∣<δ, so v is continuous on [0,T], where both the domain [0,T] and the codomain R carry the metric of the real line. In particular v is measurable by claim 4 of Measurability of Countable Suprema, Bounded Pointwise Limits, Monotone Functions, and Continuous Functions, and v is bounded, since ∣v(t)∣≤∣a∣+cKT for every t∈[0,T], so it is integrable on each [0,t].
Step 2: v satisfies the same inequality. By hypothesis u(t)≤v(t) for every t∈[0,T]. Since c≥0, monotonicity of the integral gives, for every t∈[0,T],
v(t)=a+c∫[0,t]u(s)ds≤a+c∫[0,t]v(s)ds.
Step 3: conclusion. Let t∈(0,T]. The restriction of v to [0,t] is continuous by claim 1 of Restriction Stability of Continuity and of the Derivative, so by claim 3 of Restricted Lebesgue Measure and Integral Toolkit on a Compact Interval that restriction is Riemann integrable on [0,t] and its Lebesgue integral over [0,t] equals its Riemann integral there; for t=0 both integrals are 0 by convention. Thus the inequality of Step 2 is exactly the hypothesis of Gronwall's lemma in integral form, applied to the continuous function v on [0,T] with the constants a and c≥0, and that lemma yields
v(t)≤aexp(ct)for every t∈[0,T].
Combining with u(t)≤v(t) gives u(t)≤aexp(ct) for every t∈[0,T]. ■