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Sums over Finite Sets in a Commutative Ring and in an Ordered Field: Distributivity, Products of Sums, Vanishing Terms, Sums over Pairs, Expanding Products of Sums, Counting, Comparison, Monotonicity and the Triangle Inequality

Sums over finite sets in a commutative ring distribute over multiplication, commute with differences, multiply as a sum over the product set, ignore vanishing terms, give the number of elements times a constant term, can be taken over dependent pairs, and a product of sums expands as a sum over choice maps; in an ordered field sums preserve inequalities, sums of nonnegative terms grow with the index set and vanish only if every term does, and the triangle inequality holds.

Statement

In the setting of Commutative Rings, Fields and Ordered Fields: Standard Notation, let AA and BB be finite sets; A×BA\times B and the subsets of AA are finite by Finite Sets: the Pigeonhole Principle, Uniqueness of the Length, Subsets, Unions, Products, Images, Bounded Sets of Natural Numbers, Extreme Elements, Sets of Maps, Finite Unions and Finite Choice §union and Finite Sets: the Pigeonhole Principle, Uniqueness of the Length, Subsets, Unions, Products, Images, Bounded Sets of Natural Numbers, Extreme Elements, Sets of Maps, Finite Unions and Finite Choice §subset.

Let RR, with ++, ⋅\cdot, 00 and 11, be a commutative ring, let #\# be as in The Number of Elements of a Finite Set §cardinality, and let f,g:A→Rf,g:A\to R, h:B→Rh:B\to R and c∈Rc\in R.

c∑x∈Af(x)=∑x∈Ac f(x)c\sum_{x\in A}f(x)=\sum_{x\in A}c\,f(x).

∑x∈A(f(x)−g(x))=∑x∈Af(x)−∑x∈Ag(x)\sum_{x\in A}\big(f(x)-g(x)\big)=\sum_{x\in A}f(x)-\sum_{x\in A}g(x).

(∑x∈Af(x))(∑y∈Bh(y))=∑(x,y)∈A×Bf(x) h(y)\Big(\sum_{x\in A}f(x)\Big)\Big(\sum_{y\in B}h(y)\Big)=\sum_{(x,y)\in A\times B}f(x)\,h(y).

If E⊆AE\subseteq A and f(x)=0f(x)=0 for every x∈A∖Ex\in A\setminus E, then ∑x∈Af(x)=∑x∈Ef(x)\sum_{x\in A}f(x)=\sum_{x\in E}f(x); in particular, if y∈Ay\in A and f(x)=0f(x)=0 for every x∈Ax\in A with x≠yx\neq y, then ∑x∈Af(x)=f(y)\sum_{x\in A}f(x)=f(y).

∑x∈Ac=#A⋅c\sum_{x\in A}c=\#A\cdot c; in particular ∑x∈A1=#A\sum_{x\in A}1=\#A.

Let (Bx)x∈A(B_{x})_{x\in A} be a family of finite sets, U=⋃z∈ABzU=\bigcup_{z\in A}B_{z}, which is finite by Finite Sets: the Pigeonhole Principle, Uniqueness of the Length, Subsets, Unions, Products, Images, Bounded Sets of Natural Numbers, Extreme Elements, Sets of Maps, Finite Unions and Finite Choice §family-union, and T={(x,y)∈A×U:y∈Bx}T=\{(x,y)\in A\times U:y\in B_{x}\}, which is finite by Finite Sets: the Pigeonhole Principle, Uniqueness of the Length, Subsets, Unions, Products, Images, Bounded Sets of Natural Numbers, Extreme Elements, Sets of Maps, Finite Unions and Finite Choice §union and Finite Sets: the Pigeonhole Principle, Uniqueness of the Length, Subsets, Unions, Products, Images, Bounded Sets of Natural Numbers, Extreme Elements, Sets of Maps, Finite Unions and Finite Choice §subset; sums over TT are written ∑(x,y)∈Tu(x,y)\sum_{(x,y)\in T}u(x,y). Let u:T→Ru:T\to R, and let P=∏x∈ABxP=\prod_{x\in A}B_{x} be the product of the family, that is the set of maps φ:A→U\varphi:A\to U with φ(x)∈Bx\varphi(x)\in B_{x} for every x∈Ax\in A, which is finite by Finite Sets: the Pigeonhole Principle, Uniqueness of the Length, Subsets, Unions, Products, Images, Bounded Sets of Natural Numbers, Extreme Elements, Sets of Maps, Finite Unions and Finite Choice §maps and Finite Sets: the Pigeonhole Principle, Uniqueness of the Length, Subsets, Unions, Products, Images, Bounded Sets of Natural Numbers, Extreme Elements, Sets of Maps, Finite Unions and Finite Choice §subset.

∑x∈A∑y∈Bxu(x,y)=∑(x,y)∈Tu(x,y)\sum_{x\in A}\sum_{y\in B_{x}}u(x,y)=\sum_{(x,y)\in T}u(x,y).

∏x∈A∑y∈Bxu(x,y)=∑φ∈P∏x∈Au(x,φ(x))\prod_{x\in A}\sum_{y\in B_{x}}u(x,y)=\sum_{\varphi\in P}\prod_{x\in A}u(x,\varphi(x)).

Let now FF be an ordered field, and let f,g:A→Ff,g:A\to F.

If f(x)≤g(x)f(x)\le g(x) for every x∈Ax\in A, then ∑x∈Af(x)≤∑x∈Ag(x)\sum_{x\in A}f(x)\le\sum_{x\in A}g(x).

If f(x)≥0f(x)\ge0 for every x∈Ax\in A and S⊆AS\subseteq A, then 0≤∑x∈Sf(x)≤∑x∈Af(x)0\le\sum_{x\in S}f(x)\le\sum_{x\in A}f(x); in particular f(y)≤∑x∈Af(x)f(y)\le\sum_{x\in A}f(x) for every y∈Ay\in A.

∣∑x∈Af(x)∣≤∑x∈A∣f(x)∣\Big|\sum_{x\in A}f(x)\Big|\le\sum_{x\in A}|f(x)|.

If f(x)≥0f(x)\ge0 for every x∈Ax\in A and ∑x∈Af(x)=0\sum_{x\in A}f(x)=0, then f(x)=0f(x)=0 for every x∈Ax\in A.

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