What are Ideals and Polynomial Rings? A Simple Explanation and Concrete Example

In summary, ideals and polynomial rings are important concepts in algebra, and every ideal has a finite basis called a Groebner basis. This special basis has useful properties, such as being able to determine membership in the ideal by dividing with the basis. While this may seem complex, it can be better understood through examples with polynomials.
  • #1
glebovg
164
1
Can anyone explain ideals and polynomial rings i.e. definitions, examples, the most important theorems, etc.?
 
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  • #2
glebovg said:
Can anyone explain ideals and polynomial rings i.e. definitions, examples, the most important theorems, etc.



Either you really don't understand your own question or you've got to be kidding: this is way too long and complex (and interesting and beautiful) a theme to treat it here. You better go and grab a book (try "Algebra" by Dummit & Foote, or the book by Hungerford, or the one by Fraleigh) and read about this there.

DonAntonio
 
  • #3
I understand ideals and polynomial rings. I just want a brief summary.
 
  • #5
Can anyone explain how it relates to the Gröbner bases?
 
  • #6
A basis of an ideal is a set of polynomials that "generate" the ideal; that is, if f1, .., fs is a basis for I, then each f in I can be written as h1f1 + h2f2 + ... + hsfs. A basis "spans" an ideal in a similar sense to how a linear basis spans a vector space.

Every ideal of a polynomial ring has a finite basis; this is called the Hilbert Basis Theorem.

Any ideal of polynomials in one variable can be generated by a single element. The ideal generated by f, a polynomial in x, is the set of polynomials which are divisible by f. Therefore, we can check for membership in the ideal just be computing that single polynomial generator, and then dividing (polynomial long division, which you may recall from high school, and writes g = qf+r, to divide g by our generator f). The remainder r is zero if and only if g is in the ideal generated by f.

In larger numbers of variables, this fails. There may be more than one generator; this means there are several different ways we can write "f = h1f1 + h2f2 + ... + hsfs + r," with several different remainders r. (There are algorithms for "dividing by multiple polynomials at the same time," or "dividing by a basis.") If we find one of these remainders, and it is zero, then we definitely have membership; if we find one and it is not zero, however, it doesn't mean that there is not a different way where the remainder is zero. We might hope for an alternative.

Groebner bases are a special basis, which every polynomial ideal has, with the extremely useful property that dividing by a Groebner basis gives remainder zero if and only if the dividend is in the ideal. This makes them very useful objects in commutative algebra and algebraic geometry.
 
  • #7
alexfloo said:
A basis of an ideal is a set of polynomials that "generate" the ideal; that is, if f1, .., fs is a basis for I, then each f in I can be written as h1f1 + h2f2 + ... + hsfs. A basis "spans" an ideal in a similar sense to how a linear basis spans a vector space.

Every ideal of a polynomial ring has a finite basis; this is called the Hilbert Basis Theorem.

Any ideal of polynomials in one variable can be generated by a single element. The ideal generated by f, a polynomial in x, is the set of polynomials which are divisible by f. Therefore, we can check for membership in the ideal just be computing that single polynomial generator, and then dividing (polynomial long division, which you may recall from high school, and writes g = qf+r, to divide g by our generator f). The remainder r is zero if and only if g is in the ideal generated by f.

In larger numbers of variables, this fails. There may be more than one generator; this means there are several different ways we can write "f = h1f1 + h2f2 + ... + hsfs + r," with several different remainders r. (There are algorithms for "dividing by multiple polynomials at the same time," or "dividing by a basis.") If we find one of these remainders, and it is zero, then we definitely have membership; if we find one and it is not zero, however, it doesn't mean that there is not a different way where the remainder is zero. We might hope for an alternative.

Groebner bases are a special basis, which every polynomial ideal has, with the extremely useful property that dividing by a Groebner basis gives remainder zero if and only if the dividend is in the ideal. This makes them very useful objects in commutative algebra and algebraic geometry.

Thank you for your explanation, but could you give an example with polynomials? Something that does not require a computational software program?
 
  • #8
alexfloo said:
A basis of an ideal is a set of polynomials that "generate" the ideal; that is, if f1, .., fs is a basis for I, then each f in I can be written as h1f1 + h2f2 + ... + hsfs. A basis "spans" an ideal in a similar sense to how a linear basis spans a vector space.


*** Not so "similar": in an ideal we can multiply by elements of the ring AND ALSO by other elements of the ideal itself. ***


Every ideal of a polynomial ring has a finite basis; this is called the Hilbert Basis Theorem.


*** Some care's needed here: this is true if the polynomial ring is over a Noetherian ring (a field, say), NOT in general. ***


Any ideal of polynomials in one variable can be generated by a single element.


*** Again, more care is needed when writing down these results: this is far from being true in general, but it

is true if, for example, the polynomial ring is over a field, say.

DonAntonio ***



The ideal generated by f, a polynomial in x, is the set of polynomials which are divisible by f. Therefore, we can check for membership in the ideal just be computing that single polynomial generator, and then dividing (polynomial long division, which you may recall from high school, and writes g = qf+r, to divide g by our generator f). The remainder r is zero if and only if g is in the ideal generated by f.

In larger numbers of variables, this fails. There may be more than one generator; this means there are several different ways we can write "f = h1f1 + h2f2 + ... + hsfs + r," with several different remainders r. (There are algorithms for "dividing by multiple polynomials at the same time," or "dividing by a basis.") If we find one of these remainders, and it is zero, then we definitely have membership; if we find one and it is not zero, however, it doesn't mean that there is not a different way where the remainder is zero. We might hope for an alternative.

Groebner bases are a special basis, which every polynomial ideal has, with the extremely useful property that dividing by a Groebner basis gives remainder zero if and only if the dividend is in the ideal. This makes them very useful objects in commutative algebra and algebraic geometry.

...
 
  • #9
Restrict my discussion to fields then. I'm in the middle of studying commutative algebra, so I'm definitely no expert. Thank you for bringing this up.

As for ideals and vector subspaces being similar, I would still argue they are. They are subobjects of an algebraic object with a given collection of operations. In each case they are closed under a particular subset of those operations, and the basis uniquely generates that subobject under those operations. (It's worth note that in each case, the subobject is comprised not just of operations and elements, but operations and two distinct types of elements.)

In the ideal case, the structure whose elements they can be "multiplied" by contains the ideal, and the vector space case, the elements by which we can "multiply" (the field itself) is in a different sense contained in the space.

Also, linear independence is not required in the ideal case. I would actually not consider this a difference; algebraic independence is required (for a minimal basis), which is a bit more parallel, seeing as the ideal case takes algebraic, not linear, combinations.

Those are two considerable differences, but I certainly wasn't trying to claim that there is a correspondence between the two. I only meant that, if we're not being too pedantic about it, it can be a helpful parallel for someone familiar with linear algebra, but not with ideals.
 
  • #10
Could you give an example with polynomials? Show how you would find the GB. Something that does not require a computational software program?
 
  • #11
Buchberger himself has written things that give simple examples. As I recall, his thesis did. On the web, I found this talk: http://www.google.com/url?sa=t&rct=...7b2jCg&usg=AFQjCNFkMMyThqwYMzBCs4FPSt1qZofMEw

glebvog, Why don't you explain one of those examples to us! I need a review.

(If you're researching this topic with a view to solving some simultaneous polynomial equations, you should also look at "Wu's elimination method".)
 
  • #12
I am looking for a concrete example, which does not require a computer. Can anyone provide such an example?
 

FAQ: What are Ideals and Polynomial Rings? A Simple Explanation and Concrete Example

What is an ideal in a polynomial ring?

An ideal in a polynomial ring is a subset of the ring that satisfies certain algebraic properties. Specifically, it is a set of polynomials that can be multiplied by any polynomial in the ring to produce another polynomial in the set. In other words, it is a set of polynomials that is closed under multiplication by elements in the ring.

How are ideals related to polynomial rings?

Ideals are intimately related to polynomial rings, as they are used to define the structure of the ring. In fact, polynomial rings are defined as the quotient of a polynomial ring by an ideal. This means that every polynomial in the ring can be expressed as the sum of a polynomial in the ideal and a polynomial in the ring's ideal complement.

What is the difference between a principal ideal and a non-principal ideal?

A principal ideal is generated by a single element, while a non-principal ideal is generated by multiple elements. In other words, a principal ideal can be written as the set of all multiples of a single polynomial, while a non-principal ideal requires multiple polynomials to generate it.

How are ideals used in algebraic geometry?

Ideals play a central role in algebraic geometry, as they are used to define algebraic varieties. In this context, an ideal is associated with a set of points in n-dimensional space, where n is the number of variables in the polynomial ring. The solutions to the polynomials in the ideal correspond to the points in the variety.

Can ideals be used to solve polynomial equations?

Yes, ideals can be used to solve polynomial equations. In fact, the ideal generated by a polynomial equation represents all possible solutions to that equation. By finding the ideal and its associated variety, one can determine all solutions to the polynomial equation.

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