Sketch: each clause unfolds the definition of the simplex and computes with the recursion, splitting and extraction rules for finite sums; membership follows by induction on the number of points from the splitting clause and the definition of convexity.
Throughout, sums of points are formed in the commutative ring as in Convex Sets in : Standing Notation (iii), a scalar multiple being the product with the constant function (Rules for Pointwise Operations on Real-Valued Maps: a Commutative Ring, Scalar Multiples and Evaluation (iv)), so the rules for finite sums in a commutative ring apply to sums of points as well as to sums of reals; membership in is unfolded by Convex Weights, the Standard Simplex, and Convex Combinations in (i).
Proof of (i). For the recursion Iterated Operations: Recursion, Splitting, Reordering, Termwise Combination and Homomorphisms (i) gives , so if and only if and , that is, if and only if . For such , again by Iterated Operations: Recursion, Splitting, Reordering, Termwise Combination and Homomorphisms (i),
Proof of (ii). For , Iterated Operations: Recursion, Splitting, Reordering, Termwise Combination and Homomorphisms (i) gives
Hence if and only if and , which holds if and only if with ; substituting into the second sum gives the displayed formula.
Proof of (iii). By Iterated Operations: Recursion, Splitting, Reordering, Termwise Combination and Homomorphisms (i),
so . A finite sum of nonnegative reals is nonnegative and bounds each of its terms (Finite Sums in a Commutative Ring and in an Ordered Field: Distributivity, Differences, Telescoping, Constant Terms, Comparison and the Triangle Inequality (vi)); hence , and together with this gives .
If , then for every , so every term with is and (Finite Sums in a Commutative Ring and in an Ordered Field: Distributivity, Differences, Telescoping, Constant Terms, Comparison and the Triangle Inequality (iv)). By Iterated Operations: Recursion, Splitting, Reordering, Termwise Combination and Homomorphisms (i) we then have .
If , then , so the weights are nonnegative, and by Finite Sums in a Commutative Ring and in an Ordered Field: Distributivity, Differences, Telescoping, Constant Terms, Comparison and the Triangle Inequality (i)
thus . Writing for , Iterated Operations: Recursion, Splitting, Reordering, Termwise Combination and Homomorphisms (i) and Finite Sums in a Commutative Ring and in an Ordered Field: Distributivity, Differences, Telescoping, Constant Terms, Comparison and the Triangle Inequality (i), now applied in , give
which is the display, since .
Proof of (iv). Apply Iterated Operations over an Interval: Extracting One Term and Reversing the Order (i), with the extracted index and the bijection , twice: once to the reals , and once to the points (the addition of is associative and commutative, with neutral element ). This gives
Since and , the first sum over equals and the second equals the original combination. The weights are nonnegative, so they form a point of .
Proof of (v). The points and the weights are well defined, since by Concatenation Identifies a Product of Euclidean Spaces with a Euclidean Space (i) every either lies in or has the form for exactly one . By the same splitting of indices, every is nonnegative, being or with nonnegative factors. Splitting the sums over at by Iterated Operations: Recursion, Splitting, Reordering, Termwise Combination and Homomorphisms (iii), for the associative addition of and of respectively, gives
By Finite Sums in a Commutative Ring and in an Ordered Field: Distributivity, Differences, Telescoping, Constant Terms, Comparison and the Triangle Inequality (i), the first is , so , and the second is the left side of the display.
Proof of (vi). We argue by induction on , for the property that for all and all . For the combination is , by (i). Suppose the property holds for , and let with and . By (iii), either , or
where is a convex combination of and therefore lies in by the induction hypothesis. In the second case lies in the segment (Segments and Convex Subsets of (i)), and this segment is contained in because is convex (Segments and Convex Subsets of (ii)).
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