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KEVOS AICommutative Rings, Domains, Units and Subrings

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Engineering · Mathematics · Advanced Algebra Handbook

Commutative Rings, Domains, Units and Subrings

Ring and field methods organise addition, multiplication, divisibility, ideals and polynomial equations. The main task is to identify which ring properties are available before borrowing intuition from the integers or from fields. This page consolidates the relevant material from the supplied algebra source into a stand-alone handbook chapter.

Learning pathRing and Field Theory
LevelAdvanced
FormatHandbook guide
Read time15 min

Executive summary

This chapter develops commutative rings, domains, units and subrings as part of a connected advanced-algebra learning sequence. The emphasis is on definitions, hypotheses, structural results and repeatable methods rather than historical narrative.

The source material is theorem-rich. Accordingly, the handbook presentation separates vocabulary from results and then adds a verification workflow so that each statement can be applied safely. Mathematical examples in the source are treated as examples, not as universal rules.

Use this page when

You need to refresh the governing definitions, select an applicable theorem, check a proof step, or connect this topic to neighbouring ideas in abstract algebra.

DefinitionsResultsMethodsChecks

Problem-solving workflow

State the ambient ring or field and whether multiplication is commutative.
Identify units, zero divisors, ideals and the relevant quotient or extension.
For divisibility questions, distinguish irreducible elements from prime elements unless the setting makes them equivalent.
For polynomial questions, record the coefficient ring and the degree assumptions.
Use kernels and ideals to control quotient constructions and induced maps.
Verify that every division, cancellation or inverse used is valid in the stated algebraic structure.

Core definitions

Definition
A commutative ring1 R is a set with two binary operations, addition and multiplication, such that (i) R is an abelian group under addition; (ii) (commutativity) ab = ba for all a, b ∈R; (iii) (associativity) a(bc) = (ab)c for every a, b, c ∈R; 1This term was probably coined by D. One of the meanings of the word ring, in German as in English, is collection, as in the phrase “a ring of thieves.” (It has also been suggested that polynomial finite-generation used this term because, for a ring of algebraic integers, an appropriate power of each element “cycles back” to being a linear combination of lower powers.) First Properties (iv) there is an element 1 ∈R with 1a = a for every a ∈R;2 (v) (distributivity) a(b + c) = ab + ac for every a, b, c ∈R. The element 1 in a ring R has several names; it is called one, the unit of R, or the identity in R. Addition and multiplication in a commutative ring R are binary operations, so there are functions α : R × R →R with α(r,r′) = r + r′ ∈R and µ : R × R →R with µ(r,r′) = rr′ ∈R for all r,r′ ∈R. The law of substitution holds here, as it does for any operation: If r = r′ and s = s′, then r + s = r′ + s′ and rs = r′s′.
Definition
A subset S of a commutative ring R is a subring of R if (i) 1 ∈S;4 (ii) if a, b ∈S, then a −b ∈S; (iii) if a, b ∈S, then ab ∈S. Notation. In contrast to the usage H ≤G for a subgroup, the tradition in ring theory is to write S ⊆R for a subring. We shall also write S ⊊R to denote a proper subring; that is, S ⊆R and S ̸= R.
Definition
Let a and b be elements of a commutative ring R. Then a divides b in R (or a is a divisor of b or b is a multiple of a), denoted by a | b, if there exists an element c ∈R with b = ca. As an extreme example, if 0 | a, then a = 0 · b for some b ∈R. Since 0 · b = 0, however, we must have a = 0. Thus, 0 | a if and only if a = 0. Notice that whether a | b depends not only on the elements a and b but on the ambient ring R as well. For example, 3 does divide 2 in Q, for 2 = 3 × 2 3, and 2 3 ∈Q; on the other hand, 3 does not divide 2 in Z, because there is no integer c with 3c = 2.
Definition
An element u in a commutative ring R is called a unit if u | 1 in R, that is, if there exists v ∈R with uv = 1; the element v is called the inverse of u and v is often denoted by u−1. Units are of interest because we can always divide by them: If a ∈R and u is a unit in R (so there is v ∈R with uv = 1), then a = u(va) is a factorization of a in R, for va ∈R; thus, it is reasonable to define the quotient a/u as va = u−1a. Given elements a and b, whether a | b depends not only on these elements but also on the ambient ring R; similarly, whether an element u ∈R is a unit also depends on the ambient ring R (for it is a question whether u | 1 in R). For example, the number 2 is a unit in Q, for 1 2 lies in Q and 2 × 1 2 = 1, but 2 is not a unit in Z, because there is no integer v with 2v = 1. In fact, the only units in Z are 1 and −1.
Definition
A field5 F is a commutative ring in which 1 ̸= 0 and every nonzero element a is a unit; that is, there is a−1 ∈F with a−1a = 1. The first examples of fields are Q, R, and C. The definition of field can be restated in terms of the group of units; a commutative ring R is a field if and only if U(R) = R×, the nonzero elements of R. To say this another way, R is a field if and only if R× is a multiplicative group [note that U(R×) ̸= ∅because we are assuming that 1 ̸= 0].
Definition
The field F constructed from R in Theorem 3.13 is called the fraction field of R; we denote it by Frac(R), and we denote [a, b] ∈Frac(R) by a/b; in particular, the elements [a, 1] of R′ are denoted by a/1 or, more simply, by a. Notice that the fraction field of Z is Q; that is, Frac(Z) = Q.
Definition
A sequence σ = (s0, s1, . . . , si, . . . ) in a commutative ring R is called a polynomial if there is some integer m ≥0 with si = 0 for all i > m; that is, σ = (s0, s1, . . . , sm, 0, 0, . . . ). A polynomial has only finitely many nonzero coefficients. The zero polynomial, denoted by σ = 0, is the sequence σ = (0, 0, 0, . . . ).
Definition
If σ = (s0, s1, . . . , sn, 0, 0, . . . ) ̸= 0 is a polynomial, then there is sn ̸= 0 with si = 0 for all i > n. We call sn the leading coefficient of σ, we call n the degree of σ, and we denote the degree n by deg(σ). The zero polynomial 0 does not have a degree because it has no nonzero coefficients. Some authors define deg(0) = −∞, and this is sometimes convenient, for −∞< n for every integer n. On the other hand, we choose not to assign a degree to 0 because it is often a genuinely different case that must be dealt with separately. Notation. If R is a commutative ring, then the set of all polynomials with coefficients in R is denoted by R[x].

Principal results and structural facts

Key result
Let R be a commutative ring. (i) 0 · a = 0 for every a ∈R. (ii) If 1 = 0, then R consists of the single element 0. In this case, R is called the zero ring.3 (iii) If −a is the additive inverse of a, then (−1)(−a) = a. (iv) (−1)a = −a for every a ∈R. (v) If n ∈N and n1 = 0, then na = 0 for all a ∈R. (vi) The binomial theorem holds: If a, b ∈R, then (a + b)n = n r=0 n r arbn−r.
Key result
A nonzero commutative ring R is a domain if and only if the product of any two nonzero elements of R is nonzero.
Key result
Let R be a domain, and let a, b ∈R be nonzero. Then a | b and b | a if and only if b = ua for some unit u ∈R.
Key result
If a is an integer, then [a] is a unit in Im if and only if a and m are relatively prime. In fact, if sa + tm = 1, then [a]−1 = [s].
Key result
Every subring of a domain is itself a domain. Since fields are domains, it follows that every subring of a field is a domain. The converse of this exercise is true, and it is much more interesting: Every domain is a subring of a field. 5The derivation of the mathematical usage of the English term field (first used by E. First Properties Given four elements a, b, c, and d in a field F with b ̸= 0 and d ̸= 0, assume that ab−1 = cd−1. Multiply both sides by bd to obtain ad = bc. In other words, were ab−1 written as a/b, then we have just shown that a/b = c/d implies ad = bc; that is, “cross-multiplication” is valid. Conversely, if ad = bc and both b and d are nonzero, then multiplication by b−1d−1 gives ab−1 = cd−1, that is, a/b = c/d. The proof of the next theorem is a straightforward generalization of the usual construction of the field of rational numbers Q from the domain of integers Z.
Key result
If R is a domain, then there is a field F containing R as a subring. Moreover, F can be chosen so that, for each f ∈F, there are a, b ∈R with b ̸= 0 and f = ab−1.
Key result
If R is a commutative ring, then R[x] is a commutative ring that contains R as a subring.

Source-grounded examples

Worked source example
(i) Z, Q, R, and C are commutative rings with the usual addition and multiplication (the ring axioms are verified in courses in the foundations of mathematics). (ii) Im, the integers mod m, is a commutative ring. (iii) Let Z[i] be the set of all complex numbers of the form a + bi, where a, b ∈Z and i2 = −1. Z[i] is called the ring of quadratic complex integer ring. (iv) Consider the set R of all real numbers x of the form x = a + bω, where a, b ∈Q and ω = 3√ 2. However, if R is closed under multiplication, then ω2 ∈R, and there are rationals a and b with ω2 = a + bω. Multiplying both sides by ω and by b gives the equations 2 = aω + bω2 bω2 = ab + b2ω. Hence, 2 −aω = ab + b2ω, and so 2 −ab = (b2 + a)ω. If b2 + a ̸= 0, then ω = 3√ 2 is rational; if b2 + a = 0, then this coupled with 2 −ab = 0 yields 2 = (−b)3. Thus, either case forces 3√ 2 rational, and this contradiction shows that R is not a commutative ring. ◀ 2Some authors do not demand that commutative rings have 1. For them, the set of all even integers is a commutative ring, but we do not recognize it as such. Remark. There are noncommutative rings; that is, sets having an addition and a multiplication satisfying all the axioms of a commutative ring except the axiom: ab = ba. ◀ Here are some elementary results.
Worked source example
(i) Let F(R) be the set of all the functions R →R equipped with the operations of pointwise addition and pointwise multiplication: Given f, g ∈F(R), define functions f + g and f g by f + g : a ↦f (a) + g(a) and f g : a ↦f (a)g(a) (notice that f g is not their composite). We claim that F(R) with these operations is a commutative ring. Verification of the axioms is left to the reader with the following hint: The zero element in F(R) is the constant function z with value 0 [that is, z(a) = 0 for all a ∈R] and the unit is the constant function ε with ε(a) = 1 for all a ∈R. We now show that F(R) is not a domain. x x y f g y Figure 3.1 Define f and g as drawn in Figure 3.1: f (a) = a if a ≤0 if a ≥0; g(a) = if a ≤0 a if a ≥0. Clearly, neither f nor g is zero (i.e., f ̸= z and g ̸= z). On the other hand, for each a ∈R, f g : a ↦f (a)g(a) = 0, because at least one of the factors f (a) or g(a) is the number zero. Therefore, f g = z, by Proposition 1.43, and F(R) is not a domain. First Properties (ii) All differentiable functions f : R →R form a subring of F(R). The identity ε is a constant function, hence is differentiable, while the sum and product of differentiable functions are also differentiable. Hence, the differentiable functions form a commutative ring. ◀ Many theorems of ordinary arithmetic, that is, properties of the commutative ring Z, hold in more generality. We now generalize some familiar definitions from Z to arbitrary commutative rings.

How to reason with these results

Most advanced-algebra problems become manageable when the representation is separated from the invariant structure. Begin with the definition, then decide whether the problem is asking for an elementwise calculation, a statement about a morphism, or a classification up to isomorphism. That choice determines the correct proof language.

When a theorem gives a structural conclusion, do not jump directly to the conclusion. Write the hypotheses next to the object you are studying and check them one by one. If a hypothesis fails, either strengthen the object, pass to a quotient or localisation where the theorem applies, or use a more elementary argument.

For computational work, record each transformation together with the equivalence relation it preserves. In algebra, row operations, similarity, quotienting, localisation and isomorphism preserve different kinds of information. A calculation is useful only when the preserved structure matches the question.

Common failure modes

Failure modeControl
Dividing by a nonunit.Return to the definition or theorem hypotheses and verify the missing condition before continuing.
Assuming factorisation is unique in an arbitrary domain.Return to the definition or theorem hypotheses and verify the missing condition before continuing.
Treating an irreducible element as prime without the required hypotheses.Return to the definition or theorem hypotheses and verify the missing condition before continuing.
Forgetting that polynomial behaviour depends on the coefficient ring.Return to the definition or theorem hypotheses and verify the missing condition before continuing.
Forming a quotient by a subset that is not an ideal.Return to the definition or theorem hypotheses and verify the missing condition before continuing.

Verification checklist

  • The ambient set, ring, field, group, module or category has been stated.
  • Every operation and map used is well-defined in that setting.
  • The hypotheses of each structural result have been checked before use.
  • Representatives, coordinates or generators have not been confused with the underlying object.
  • Existence and uniqueness have been separated where both matter.
  • The final result has been checked against the original defining relation or universal property.

Quick questions

What should I identify first in a problem about commutative rings, domains, units and subrings?

Start with the ambient algebraic structure, its operation or maps, and the exact hypotheses. Most incorrect solutions begin by using a familiar rule that is not valid in the stated structure.

How should definitions be used in proofs?

Expand the definition at the point where it becomes useful. Definitions are not background prose; they are the conditions that determine what must be proved and which implications are available.

When is a structural theorem safer than direct calculation?

Use a structural theorem when its hypotheses are satisfied and the calculation would otherwise depend on arbitrary coordinates, representatives or generators. The theorem usually identifies an invariant that survives those choices.

How can a final answer be checked?

Substitute the result back into the defining relation, verify any required closure or map property, and check edge cases such as zero, the identity, the empty object or degenerate quotients where relevant.

Connections within the handbook

PreviousGroup Actions, Orbits, Stabilisers and Counting NextPolynomial Rings, Irreducibility and Greatest Common Divisors

Source basis: supplied advanced algebra reference. Source-identifying authorship, publisher information, acknowledgements and biographical material are intentionally omitted. Mathematical terminology and results are retained in handbook form.

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