Is an Ideal Always a Linear Space?

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In summary, the conversation discusses the concept of an ideal and its relationship to a linear space or an R-module. The participants clarify that an ideal is a subgroup and that if two elements are in the ideal, their linear combination will also be in the ideal. However, the terminology used may vary depending on whether the scalars form a field or a ring. Ultimately, an ideal of a ring R is equivalent to an R-submodule of the R-module R.
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psholtz
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Is an ideal always a linear space?

I'm reading a proof, where the author is essentially saying: (1) since x is in the ideal I, and (2) since y is in the ideal I; then clearly x-y is in the ideal I.

In other words, if we have two elements belonging to the same ideal, is their linear combination always also in the ideal?
 
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Essentially yes. But you must watch out for terminology. We use the term linear space only were the scalars form a field. If they do not form a field (but merely a ring), then we use the term module instead of linear space. So the right way of saying it is: an ideal of a ring R always forms an R-module.
 
  • #3
Just read the definition of 'ideal'. By definition, it is (also) a subgroup. This means that if x and y are in the ideal, then so is x-y.
micromass said:
So the right way of saying it is: an ideal of a ring R always forms an R-module.
To add: ideals of the ring R are precisely the same thing as R-submodules of the R-module R. (All these things follow directly from the definitions.)
 

FAQ: Is an Ideal Always a Linear Space?

What is the definition of an ideal in linear algebra?

An ideal in linear algebra is a subset of a vector space that is closed under scalar multiplication and addition. In other words, any scalar multiple and sum of elements within the ideal must also be contained within the ideal.

How are ideals and subspaces related?

Ideals and subspaces are closely related, as both are subsets of a vector space. However, an ideal must satisfy additional conditions, such as closure under scalar multiplication, while a subspace must only satisfy closure under addition and scalar multiplication.

What is the significance of ideals in linear algebra?

Ideals play a crucial role in the study of linear algebra, as they allow for the generalization of concepts such as linear independence and span. They also provide a framework for understanding quotient spaces and the structure of vector spaces.

How do ideals relate to linear transformations?

Ideals can be used to define and analyze linear transformations. In particular, the kernel of a linear transformation is an ideal in the domain of the transformation, and the image of the transformation is an ideal in the codomain.

Can an ideal be non-linear?

No, an ideal must satisfy the properties of a vector space, which includes linearity. Therefore, an ideal must be a linear subset of a vector space.

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