Simple approximants dominated by the absolute value of the function converge to it pointwise, and dominated convergence applied to the p-th power of the difference gives convergence in seminorm.
Each result cited is universally quantified over the data appearing in its own statement, and is applied here to the data named in the statement above. We use countable choice, to select one approximating simple function for each index.
Claim 1. If is empty then has measure and the unique map lies in , its integral being ; both sides of the asserted equivalence hold and there is nothing to prove. Assume therefore that is nonempty, so that a simple function on has at least one value.
Let be the standard representation of Simple Function and Its Integral, with the the distinct values of and . The set is the union of those with , a union of finitely many members of , so in every case; only its measure is at issue.
Suppose . Let be the largest of the finitely many numbers . For we have and hence , while for we have and hence by Properties of Real Powers of Nonnegative Real Numbers Β§monotone. So pointwise, and by the monotonicity and homogeneity in claim 1 of Linearity and Monotonicity of the Lebesgue Integral together with The Integral of an Indicator Function is the Measure of the Set,
so , the map being measurable.
Conversely suppose . If is empty then . Otherwise let be the smallest of the numbers with , a positive real number, so that for every and hence pointwise by Properties of Real Powers of Nonnegative Real Numbers Β§monotone. As above this gives . Since is positive by Properties of Real Powers of Nonnegative Real Numbers Β§values, the value would force ; hence .
Claim 2. By Approximation of Measurable Functions by Simple Functions Β§real there is a sequence of simple functions with pointwise and with converging to for every . By Elementary Properties of the p-Seminorm Β§comparison each lies in .
For every and , claims 2 and 5 of Properties of the Absolute Value in an Ordered Field give , so by Properties of Real Powers of Nonnegative Real Numbers Β§monotone and Properties of Real Powers of Nonnegative Real Numbers Β§product,
and the map is integrable because . Moreover converges to for every , hence so does by Properties of Real Powers of Nonnegative Real Numbers Β§continuity together with . The maps are measurable by Power-Integrable Functions and the p-Seminorm Β§measurable-power, so The Lebesgue Integral and Null Sets: Almost-Everywhere Comparison, Markov's Inequality, and Dominated Convergence Almost Everywhere Β§dominated, applied with the limit function , gives
By Elementary Properties of the p-Seminorm Β§power this integral is , and applying Properties of Real Powers of Nonnegative Real Numbers Β§continuity with the exponent , together with and , we get that converges to . In particular there is with , and is as required.
Claim 3. Let and let be a representative of . For each apply claim 2 with the positive number and choose a simple with . Then and
by the formula for in The Riesz-Fischer Theorem: the Lebesgue Space is a Real Banach Space Β§normed. Since converges to , claim 3 of Order Properties of Limits of Real Sequences shows that converges to , that is, converges to in . By Sequential Characterization of the Closure in a Metric Space the point lies in the closure of . As was arbitrary, that closure is all of , so is dense in .
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Prerequisites
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