Proof of The Riesz-Fischer Theorem: the Lebesgue Space is a Real Banach Space
theoremthm:riesz-fischer-lp-2026aCompleteness is proved by passing to a subsequence whose successive differences have rapidly decreasing seminorms, bounding the sum of their absolute values by monotone convergence, and identifying the limit by dominated convergence almost everywhere.
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 representatives and indices indexed by .
Throughout, is a real vector space with the pointwise operations, by Minkowski's Inequality and the Seminormed Space of Power-Integrable Functions §vector-space, and for the class is as in The Lebesgue Space of Power-Integrable Functions §equivalence.
Claim 1. The two operations on are well defined by The Lebesgue Space of Power-Integrable Functions §space. Each of the conditions 1 to 8 of Vector Space over a Field is an identity between classes whose two sides are, by the definition of the operations, the classes of the two sides of the corresponding identity in ; since those identities hold in , the conditions hold in . For instance , and , where is the map taking the value everywhere, so is a zero vector and is the zero vector by claim 1 of Elementary Identities in a Vector Space; and gives condition 4. So is a vector space over .
The number is well defined and nonnegative by The Lebesgue Space of Power-Integrable Functions §norm. If then almost everywhere by Elementary Properties of the p-Seminorm §vanishing, that is , so is the zero vector; this is condition (a) of Real Normed Space and Real Banach Space §norm. Condition (b) holds because by Elementary Properties of the p-Seminorm §homogeneous, and condition (c) because by Minkowski's Inequality and the Seminormed Space of Power-Integrable Functions §minkowski. Hence is a real normed space. Its distance is by Real Normed Space and Real Banach Space §distance, and , which gives the stated formula.
A construction. Let be a Cauchy sequence in and for each let be a representative of . We construct natural numbers , a function , a null set and a function such that for every the sequence converges to with for every , and such that converges to .
Step 1. For each the Cauchy condition, applied with the positive number , provides with whenever ; choose such an for each . Define and, recursively, to be the larger of and . Then for every , and , so both and are at least and
the first equality by claim 1. Write .
Step 2. For put , a finite sum in , and ; also put and . Each lies in with the same seminorm as , by Elementary Properties of the p-Seminorm §comparison applied in both directions, and likewise for . By Minkowski's Inequality and the Seminormed Space of Power-Integrable Functions §finite-sums,
the last inequality because the partial sums of the series of the are at most its sum, which is , by claims 2 and 4 of Series of Nonnegative Real Numbers, Comparison, and the Geometric Series. By Elementary Properties of the p-Seminorm §power and Properties of Real Powers of Nonnegative Real Numbers §monotone this gives for every .
The sequence is pointwise nondecreasing, since each added term is nonnegative, so is pointwise nondecreasing by Properties of Real Powers of Nonnegative Real Numbers §monotone. Let be its pointwise least upper bound. By Monotone Convergence Theorem the map is measurable and is the least upper bound of the numbers , hence at most and in particular finite. By The Lebesgue Integral and Null Sets: Almost-Everywhere Comparison, Markov's Inequality, and Dominated Convergence Almost Everywhere §finite the set belongs to and has measure ; it is therefore null.
Step 3. Let be the map equal to off and to on ; it takes real values because is finite off , and it is nonnegative. It is measurable: for a real the set is , while for it equals , a member of because is measurable and ; the criterion in Measure Spaces and the Lebesgue Integral: Standing Notation §measurable applies. Put , which is measurable by Elementary Properties of the p-Seminorm §rescaling applied with the exponents and , and satisfies pointwise by Properties of Real Powers of Nonnegative Real Numbers §exponents. Hence by claim 1 of Linearity and Monotonicity of the Lebesgue Integral, so .
Let , so that is a nonnegative real number. For every we have , hence by Properties of Real Powers of Nonnegative Real Numbers §inverse. Since for every , by the triangle inequality of claim 5 of Properties of the Absolute Value in an Ordered Field applied along the telescoping identity , we obtain
Moreover is nondecreasing and bounded above by , so it converges by A Bounded Monotone Sequence of Real Numbers Converges §nondecreasing and is therefore a Cauchy sequence of real numbers. For the same triangle inequality gives
so is a Cauchy sequence of real numbers and hence converges, by The Real Numbers: Standing Notation and Background §sequences.
Step 4. Define by letting be the limit of for and for . Writing for the map equal to off and to on , which is measurable by claims 1 and 3 of Arithmetic, Absolute Values, and Pointwise Limits of Measurable Real-Valued Functions since , the sequence converges to at every , so is measurable by claim 5 of Arithmetic, Absolute Values, and Pointwise Limits of Measurable Real-Valued Functions. Passing to the limit in the bound , valid off , and using on together with , we get pointwise, so by Elementary Properties of the p-Seminorm §comparison.
For the sequence converges to , hence so does by Properties of Real Powers of Nonnegative Real Numbers §continuity and . Also pointwise off , by claims 2 and 5 of Properties of the Absolute Value in an Ordered Field, so there, by Properties of Real Powers of Nonnegative Real Numbers §monotone and Properties of Real Powers of Nonnegative Real Numbers §product; the map is integrable since . The maps are measurable by Power-Integrable Functions and the p-Seminorm §measurable-power. Applying The Lebesgue Integral and Null Sets: Almost-Everywhere Comparison, Markov's Inequality, and Dominated Convergence Almost Everywhere §dominated, with the constant limit function , gives
By Elementary Properties of the p-Seminorm §power the integral equals , and applying Properties of Real Powers of Nonnegative Real Numbers §continuity with the exponent to this sequence of nonnegative reals, together with and , we conclude that converges to . This completes the construction.
Claim 2. Let be a Cauchy sequence in ; choose a representative of each and run the construction, obtaining , and the convergence , that is .
Let be a positive real number. There is with for all , and there is with and , because for every and . For every the triangle inequality in the metric gives
Hence converges to . So every Cauchy sequence in converges, that is is complete, and is a real Banach space by Real Normed Space and Real Banach Space §banach.
Claim 3. Let converge to , with representatives and as in the statement. The sequence is Cauchy: given a positive , choose with for ; then for . Run the construction with these representatives, obtaining , a function , a null set and with converging to and for every and every , and with .
By A Subsequence of a Convergent Sequence Has the Same Limit the subsequence converges to , so for every positive we have, for large ,
Hence , by Comparison of Real Numbers with Arbitrary Positive Slack, so almost everywhere by Elementary Properties of the p-Seminorm §vanishing; let be the null set of points where and differ. By The Lebesgue Integral and Null Sets: Almost-Everywhere Comparison, Markov's Inequality, and Dominated Convergence Almost Everywhere §null-union the set is null, and for the sequence converges to and satisfies for every . This is the assertion.
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Prerequisites
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