Proof of The Interior of a Convex Set is Convex and Carries Each of Its Borel Subsets up to a Null Set
lemmalem:convex-set-density-interior-rn-2026aConvexity of the interior follows from a common radius; for the null clause, a density point of the Borel remainder would let a reflection through a nearby exterior point produce two disjoint sets of nearly full density in almost the same ball.
Each result cited below is universally quantified over the data in its own statement, and is used here for the dimension fixed in the statement. Throughout, is open by The Interior is the Largest Open Subset, so by Open Subset of a Metric Space every point of it is the centre of an open ball contained in it, and conversely a point that is the centre of an open ball contained in belongs to by Interior of a Subset of a Topological Space, that ball being open by Open Ball in a Metric Space is Open.
Claim 1. Let and let with . Choose positive reals with and , and let be the least of and , positive by claim 9 of Elementary Order Arithmetic in an Ordered Field. Let and put , so that by claim 2 of Elementary Properties of the Euclidean Norm on . The same claim gives , so , and likewise . In the real vector space of Euclidean Space is a Real Vector Space,
so by Convex Subset of . Hence and . Therefore is convex.
Claim 2. Let with and put , which belongs to because is open, hence Borel by Euclidean Space and Lebesgue Measure: Standing Notation §borel. Suppose, for contradiction, that .
2a. A density point in . By claims 1 and 5 of Elementary Properties of Lebesgue Outer Measure on , is not null. By The Lebesgue Density Theorem in §ae the set of points of that are not density points of is null; were that set all of , then would be null. Hence there is which is a density point of .
2b. Exterior points arbitrarily close to . Since and , no open ball centred at is contained in ; so for every positive real there is with , and because .
2c. The reflection. Apply Density Point of an Arbitrary Subset of §density-point with , which is less than : there is a positive real with
Fix one such and put , a member of by The Lebesgue Measure of a Closed Ball in §borel; by claim 1 of Elementary Properties of Lebesgue Outer Measure on the displayed inequality reads .
Let with , and let in the notation of Translation and Reflection Invariance of Lebesgue Measure on , where . By claim 1 of that lemma and .
The sets and are disjoint. Indeed, let ; in the real vector space one has , so if belonged to then by Convex Subset of , contrary to the choice of . Hence , and in particular .
Both sets lie in a slightly larger closed ball. For we have by claim 2 of Elementary Properties of the Euclidean Norm on , and, since in , claims 5 and 6 of that lemma give
Thus , and claims 1 and 2 of Basic Properties of a Measure give
2d. The contradiction. Write for the constant of The Lebesgue Measure of a Closed Ball in §constant; by The Lebesgue Measure of a Closed Ball in §value the two balls above have measures and . Combining with step 2c,
Now let . By step 2b, applied with the positive real , there is with , whence, being nondecreasing on the nonnegative reals by claim 5 of Elementary Arithmetic in an Ordered Field and induction on the exponent (the inductive set being the set of for which implies ),
The sequence converges to , since converges to by Series of Nonnegative Real Numbers, Comparison, and the Geometric Series §geometric and by the laws for scalar multiples and sums of Arithmetic of Limits of Real Sequences. By the product law of that theorem and induction on the exponent (the inductive set being the set of for which the sequence of th powers converges to ), the sequence converges to . Passing to the limit in the last display by Order Properties of Limits of Real Sequences gives . But is positive by The Lebesgue Measure of a Closed Ball in §value, so claim 10 of Elementary Order Arithmetic in an Ordered Field yields , contradicting : indeed , the number is positive by claims 8 and 7 of that lemma, and adding to by claim 1 there gives .
Therefore , which is claim 2.
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Prerequisites
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