The monotone convergence theorem states that if measurable functions are nonnegative and pointwise, then is measurable andallowing either side to be infinite. The same conclusion holds under almost-everywhere monotone convergence after changing values on a null set. No assumption that the integrals stay bounded is required.
Use the increasing nonnegative measurable functions . Their pointwise limit is the given function except at irrelevant endpoint choices, and the fundamental theorem of calculus on givesmonotone convergence therefore gives . Since , this is also , and is not Lebesgue integrable. Measurability alone does not make a finite integral.
Similarly set . These nonnegative measurable functions increase to almost everywhere. The fundamental theorem of calculus givesBy monotone convergence,The integral is finite and , so is Lebesgue integrable. Identifying Lebesgue and ordinary integrals of continuous functions on compact intervals justifies each truncated calculation.
A dominated differentiation under the integral sign suffices. Suppose is measurable, is integrable at one parameter value, and for almost every the map is continuously differentiable on an interval. If throughout that interval for an integrable , then the parameter integral is differentiable, andOne direct sufficient version assumes is continuous in almost everywhere and has that common domination; dominated convergence theorem then proves the assertion.
Here , so the complex-valued function is integrable for every real . For a real increment , the elementary bound givesThe right side is integrable by hypothesis and the integrand converges pointwise to . dominated convergence theorem, applied to real and imaginary parts, provesThis supplies the domination explicitly rather than merely differentiating a formal Fourier transform.
Articles by others on the same topic
There are currently no matching articles.