Operations on Ideals: Sum, Product, Intersection
Given two ideals of a ring, what new ideals can we build from them? How do these constructions interact? This question sits at the heart of commutative algebra. Ideals are the natural generalization of divisibility. Combining ideals mirrors combining divisibility conditions on elements. The three basic operations — sum , product , and intersection — encode the ring-theoretic analogues of least common multiple, product, and greatest common divisor from elementary number theory. But they behave subtly differently from their integer counterparts once the ring is not a principal ideal domain. The payoff for mastering these operations is structural. The sum is the smallest ideal containing both and . So it governs when two ideals can be "merged" without changing the ambient ring. This leads directly to the notion of comaximal ideals, ideals whose sum is the whole ring. Comaximality is precisely the hypothesis needed to make the Chinese Remainder Theorem work in general rings. Understanding here is a direct rehearsal for that theorem. The product generalizes multiplying ideals generated by elements. It is always contained in the intersection . This inclusion is an equality exactly when the ideals are comaximal. This fact recurs throughout ring theory and algebraic geometry. This article assumes familiarity with Principal Ideals and Ideal Generation: we build directly on the description of the ideal generated by a subset. We work throughout in a commutative ring with identity . This is the setting in which these operations have their cleanest and most useful form. Genuinely noncommutative subtleties are flagged where relevant. By the end, you will have precise definitions of , , . You will also have a full proof that all three are ideals. This includes a careful proof of the comaximal product-intersection theorem. There are worked computations in and in a polynomial ring. A counterexample shows exactly where comaximality is essential. This groundwork feeds forward into Chinese Remainder Theorem and into the theory of Prime Ideals. There, products and intersections of ideals control decomposition and radical behavior.
- For ideals of a commutative ring , the sum is the smallest ideal containing both.
- The intersection is always an ideal, and is the largest ideal contained in both and .
- The product is the ideal generated by all products with , ; it always satisfies .
- Ideals are comaximal (or coprime) when ; this is the ring-theoretic analogue of "gcd ."
- When are comaximal, exactly — this equality can fail badly without comaximality.
- Key idea: sum, product, and intersection of ideals mimic lcm/gcd-type operations on integers, and comaximality is the precise condition making product and intersection coincide.
Where this lives today
The comaximal product–intersection identity is the direct algebraic engine behind the Chinese Remainder Theorem for general rings: when are pairwise comaximal, the map is surjective with kernel , reconstructing the classical CRT for integers as the special case and with pairwise coprime . This appears throughout computer algebra systems for fast modular arithmetic, in RSA-style cryptography for computing modulo composite numbers via prime factors, and in error-correcting codes. In algebraic geometry, sums, products, and intersections of ideals correspond geometrically to intersections, unions (with multiplicity), and unions of the associated vanishing sets, via the Nullstellensatz dictionary between ideals in and algebraic varieties; the distinction between and tracks the difference between a scheme-theoretic intersection with multiplicities and a reduced set-theoretic intersection. In commutative algebra more broadly, factorization of ideals into products of prime ideals in Dedekind domains — the modern payoff of Dedekind's original motivation — relies on exactly these operations, and questions about when recur in the theory of coprime factorizations used in module theory, representation theory (idempotent decompositions of rings via comaximal ideals), and numerical algebraic geometry for solving polynomial systems by localizing at comaximal components.
Ask the tutor: How does the two-ideal comaximal theorem extend by induction to prove the full Chinese Remainder Theorem for pairwise comaximal ideals?
Let be a commutative ring with identity, and let be ideals.
Sum. The sum of and is
More generally, for a (possibly infinite) family of ideals , the sum is the set of all finite sums with .
Product. The product is the ideal generated by the set ; concretely,
Intersection. The intersection is the usual set-theoretic intersection.
Comaximal ideals. Ideals and are called comaximal (or coprime) if
Intuition
Think of an ideal as encoding a "divisibility condition": in , the ideal consists of all multiples of , so membership in means "divisible by ." Under this dictionary, the three operations translate into familiar number-theoretic operations, but the translation requires care. The sum is the smallest ideal containing both and — it is generated by throwing all the generators of and together. In , : an element is a sum of a multiple of and a multiple of exactly when it is a multiple of , by Bézout's identity. So (comaximality) corresponds exactly to . The intersection asks for elements satisfying both divisibility conditions simultaneously — the common multiples. In , . The product is subtler: it is generated by products of elements from each ideal, not simply their intersection. In , . Since always, with equality iff , we recover in miniature the general fact that , with equality precisely under comaximality.
Central results
Let be a commutative ring with identity, and let be ideals of .
(a) is an ideal of , and it is the smallest ideal (under inclusion) containing .
(b) is an ideal of , and it is the largest ideal contained in both and .
(c) is an ideal of , and
(d) If and are comaximal, i.e. , then
We prove each part in turn. Throughout, "ideal" means a nonempty subset closed under addition, closed under additive inverses (or equivalently, an additive subgroup), and absorbing multiplication by arbitrary ring elements: for all .
Proof of (a). First we check is an ideal. Nonempty / contains : since and , we have . Closed under addition: if and with , , then
and , since are additive subgroups. Hence . Closed under additive inverses: since , . Absorbs multiplication: for and ,
and (as is an ideal), (as is an ideal), so . Thus is an ideal. It contains (take ) and (take ), hence contains . Now suppose is any ideal with . For and , closure of under addition gives . Since every element of has this form, . Hence is the smallest ideal containing .
Proof of (b). Nonempty: and , so . Closed under addition: if then so (as is an additive subgroup), and likewise ; hence . Closed under additive inverses: if then and , so . Absorbs multiplication: if , , then (since ideal) and (since ideal), so . Thus is an ideal, and by definition of set intersection it is contained in both and . If is any ideal contained in both and , then by definition of intersection. So is the largest such ideal.
Proof of (c). By definition, is the ideal generated by , i.e. the set of all finite -linear... in fact just finite sums, since we can absorb ring elements into either factor: for , , , and , so already. Hence the ideal generated by is exactly
which one checks directly is closed under addition (concatenate sums), additive inverses (negate each term, using ), and multiplication by (as just shown, , so times a finite sum from is again such a finite sum). Thus is an ideal, confirming the claimed description matches the definition. To show : take a generator with , . Since is an ideal and , . Since is an ideal and , . So for every generator, and since is an ideal (part (b)) it is closed under the finite sums that make up general elements of . Hence .
Proof of (d). Assume . We must show ; combined with (c) this gives equality. Since , there exist and with
Let be arbitrary. Multiply the identity by :
Now examine each term. In : since (as ) and , the product is (up to writing order, using commutativity of ) a product of an element of and an element of : indeed with , , so by definition of as generated by such products. In : since and , directly . Hence is a sum of two elements of , and since is an ideal (in particular closed under addition), . As was arbitrary, . Combined with part (c), .
∎Ideals of a commutative ring with identity are comaximal if and only if there exist , with .
If then so such exist by definition of . Conversely if such exist, then for any , with , (ideal absorption), so ; hence , giving .
∎Worked examples
Example 1 (Two moduli in , non-coprime — illustrating strict containment). Let , , . Sum. We compute . To verify directly: , so . Conversely every element of has the form , a multiple of , so . Hence : not comaximal. Intersection. consists of common multiples of and , i.e. . Product. , since the product ideal of two principal ideals in is — every generator is , and conversely generates all multiples of as sums of such products (already for each ). Comparison. Indeed , consistent with Central results part (c), and strict because , so comaximality fails and the theorem does not force equality. Concretely but since .
Example 2 (Comaximal ideals in a polynomial ring — verifying from scratch). Let , and let
Step 1: show are comaximal. We seek , with . Try , for constants to be found (degree considerations: since and each have degree-1 generators, look for a linear combination with constant coefficients). We want
for all , i.e. . Matching coefficients: and . From the first, ; substituting into the second: , so . Check:
So , , and ; by the Corollary, , i.e. are comaximal. Step 2: compute directly. An element satisfies and (since and in , a UFD, using that are non-associate irreducibles). Hence , so . Conversely (it's a multiple of ) and also (multiple of ), so . Thus
Step 3: compute directly. Every generator (for ) is a multiple of , so ; and taking shows itself, so equality: . Step 4: conclusion. — exactly matching part (d) of the theorem, since were shown comaximal in Step 1. This also matches the general principle: the polynomial has as roots precisely and , mirroring how and product coincide for coprime integers.
The hypothesis in part (d) of the Central results theorem is essential. Take again, but now with a shared prime factor, to exhibit strict containment cleanly and computably. Let , in . Check comaximality fails. , since ... more precisely because ( is not even). So are not comaximal. Compute both sides. . And . Verify the inclusion is strict. Certainly so , consistent with part (c) of the theorem ( always holds regardless of comaximality). But , since . Hence
a strict containment. If one attempted to run the proof of part (d) here, it would break at the very first step: there is no way to write with , , because every such is even, so (odd) is unreachable. The proof's key algebraic move — multiplying by to express as a sum of elements of — has no foothold without a genuine identity . This shows precisely where the hypothesis is used, not merely that the conclusion happens to fail.
Scope, edge cases & common traps
| Situation | What holds | What can fail |
|---|---|---|
| Any ideals in commutative ring with | , , are always ideals; always | need not hold |
| comaximal () | (Theorem part (d)) | Nothing extra guaranteed about individually (e.g. neither need be prime or maximal) |
| not commutative | , still ideals (two-sided, if two-sided) | Definition of needs care (order of factors matters); the comaximal proof used commutativity to write |
| without identity | Corollary (Bézout witness) fails | need not give , since may not exist |
| , , but typically | Common error: assuming ; false unless is generated by an idempotent or similar special case |
The mathematician behind it
Origins · 1 minRichard Dedekind and how this was discovered
Richard Dedekind, working in the wake of Ernst Kummer's "ideal numbers," gave the first rigorous set-theoretic definition of an ideal and systematically studied their sums, products, and intersections in rings of algebraic integers. His goal was to restore unique factorization — lost for elements in general rings of integers — by working instead with ideals, where a clean multiplicative theory could be recovered. The operations formalized in this article, especially the product of ideals and the notion that ideals could be added, multiplied, and compared by inclusion, originate in Dedekind's foundational papers appended to Dirichlet's lectures on number theory.
Is the same as ?
No, in general the union is not even an ideal, because it need not be closed under addition: an element of plus an element of need not lie in or in individually. For example in , and , but lies in neither nor . The sum fixes this by taking the smallest ideal containing , which forces inclusion of all such sums; concretely , and this set is always closed under addition and absorption, unlike the bare union.
Why is defined as the ideal generated by products, rather than just the set of products ?
The raw set of products is usually not closed under addition. For instance with in , the products and are both in the raw set, but is generally not itself a product with (it is a sum of two such products). To get an ideal we must close under finite sums, which is exactly the definition used in this article.
If , does that make comaximal?
Not necessarily — these are different conditions. Comaximality means ; trivial intersection means . In , let and . Then , but also , so here both properties happen to hold simultaneously. In general, however, one can have proper ideals with zero intersection yet still fail to sum to ; the two notions are logically independent and should never be conflated.
Does ever hold without comaximality?
Yes, comaximality is sufficient but not necessary for the equality; it is not an if-and-only-if in general. For instance if , then and ; these coincide exactly when , which can happen for non-maximal, non-comaximal-with-itself ideals in pathological rings (e.g. certain idempotent-generated ideals), even though unless . So the theorem gives a clean sufficient condition, but the converse direction is a separate, generally false statement that should not be assumed.
How do these operations interact with each other — for instance, does multiplication distribute over sum?
Yes: for ideals , one has . To see : a generator with , , equals . For : elements of have the form with , hence lie in , and similarly for ; since is an ideal it contains all sums, giving . This distributive law is used constantly when computing with several ideals at once, e.g. in Chinese-Remainder-style arguments with more than two moduli.
Is intersection of infinitely many ideals still an ideal?
Yes. If is any family (finite or infinite) of ideals of , then is again an ideal, by the identical verification used for two ideals: lies in every hence in the intersection; if lie in every then so do and ; and if lies in every and , then for every since each is an ideal, so lies in the intersection. This infinite-intersection stability is exactly what makes constructions like "the ideal generated by a set" well-defined, as an intersection of all ideals containing that set.
Can three or more ideals be pairwise comaximal but not jointly satisfy ?
If are pairwise comaximal, the equality does extend, but it requires an inductive argument rather than a direct restatement of the two-ideal theorem. One first shows and (or ) are comaximal — using the witnesses from each pairwise comaximality — and then applies the two-ideal theorem to and . This inductive extension is exactly the mechanism underlying the general Chinese Remainder Theorem for pairwise comaximal ideals, foreshadowed but not proved in full generality here.