A short proof for dim(R[T])=dim(R)+1?

  • Thread starter Ganesh Ujwal
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In summary: R[T,T^{-1}]##. Repeating this process, we can eventually find ##c \in R[T]## and ##l \in \mathbb{N}## such that ##x_1^m (1+cx_{n+1}^l)=0## in ##R[T,T^{-1}]##. This means that ##x_1^m (1+cx_2^{l-1}+\dotsc+c^{n+1}x_{n+1}^{l-1})=0## in ##R[T]##, showing that ##\dim(R[T]) \
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Ganesh Ujwal
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If ##R## is a commutative ring, it is easy to prove ##\dim(R[T]) \geq \dim(R)+1##. For noetherian ##R##, we have equality. Every proof I'm aware of uses quite a bit of commutative algebra and non-trivial theorems such as Krull's intersection theorem.
Recently T. Coquand and H. Lombardi have found a surprisingly elementary "almost" first-order characterization of the Krull dimension, see here. It states:

For ##l \in \mathbb{N}## we have ##\dim(R) \leq l## if and only if for all ##x_0,\dotsc,x_l \in R## there are ##a_0,\dotsc,a_l \in R## and ##m_0,\dotsc,m_l \in \mathbb{N}## such that ##x_0^{m_0} (\dotsc ( x_l^{m_l} (1+a_l x_l)+\dotsc)+a_0 x_0)=0##.A consequence of this is a new short proof of ##\dim(K[x_1,\dotsc,x_n])=n##, where ##K## is a field. Using Noether normalization and the fact that integral extensions don't change the dimension, it follows that ##\dim(R \otimes_K S)=\dim(R)+\dim(S)## if ##R,S## are finitely generated ##K##-algebras. In particular ##\dim(R[T])=\dim(R)+1##. This could be useful for introductory courses on algebraic geometry which don't want to waste too much time with dimension theory.

Can we use this elementary characterization of the Krull dimension to give a new short proof of ##\dim(R[T])=\dim(R)+1## for noetherian commutative rings ##R##?

Maybe this question is a bit naive. I suspect that this can only work if we find a first-order property of rings which is equivalent or even weaker than noetherian and prove the formula for these rings. Notice that in contrast to that the Gelfand-Kirillov dimension satisfies ##\mathrm{GK}\dim(R[T])=\mathrm{GK}\dim(R)+1## (see here) for every ##K##-algebra ##R##.
 
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Thank you for sharing this interesting characterization of the Krull dimension! It is always exciting to see new and potentially simpler proofs of well-known theorems.

To answer your question, I believe it is possible to use this characterization to give a new proof of ##\dim(R[T])=\dim(R)+1## for noetherian commutative rings ##R##. Here is an outline of how it could be done:

1. First, we can use the characterization to show that for any noetherian ring ##R##, we have ##\dim(R) \leq n## if and only if for any ##x_1,\dotsc,x_n \in R##, there exist ##a_1,\dotsc,a_n \in R## and ##m_1,\dotsc,m_n \in \mathbb{N}## such that ##x_1^{m_1} (\dotsc (x_n^{m_n} (1+a_n x_n)+\dotsc)+a_1 x_1)=0##.

2. Next, we can use induction on ##n## to show that for any noetherian ring ##R##, we have ##\dim(R) \leq n## if and only if for any ##x_1,\dotsc,x_n \in R##, there exists ##a \in R## and ##m \in \mathbb{N}## such that ##x_1^m (1+ax_2)=0##.

3. Now, let ##R## be a noetherian commutative ring and let ##x_1,\dotsc,x_{n+1} \in R[T]## be any elements. By induction, we can assume that ##\dim(R) \leq n##. Then, using the characterization, we can find ##a \in R## and ##m \in \mathbb{N}## such that ##x_1^m (1+ax_2)=0## in ##R[T]##. This implies that ##x_1^m (1+a(Tx_2))=0## in ##R[T,T^{-1}]##. Since ##R[T,T^{-1}]## is also a noetherian ring, we can use the characterization again to find ##b \in R[T,T^{-1}]## and ##k \in \mathbb{N}
 

1. What is the proof for dim(R[T])=dim(R)+1?

The proof for dim(R[T])=dim(R)+1 is based on the concept of linear independence and the fact that every polynomial in R[T] can be expressed as a linear combination of powers of T and elements of R. Therefore, the dimension of R[T] is one more than the dimension of R, as there is an additional degree of freedom with the inclusion of T.

2. Can you provide an example to illustrate this proof?

Yes, for example, let R be the set of real numbers and let R[T] be the set of polynomials with real coefficients. The dimension of R is 1, as it only contains the element 1. However, in R[T], we have the additional element T, which can be used to form polynomials of varying degrees. Therefore, the dimension of R[T] is 2, which is equal to the dimension of R+1.

3. Is this proof applicable to any ring R?

Yes, this proof is applicable to any ring R, as long as it contains an identity element and satisfies the properties of linear independence and closure under multiplication. This includes common rings such as the integers, rational numbers, real numbers, and complex numbers.

4. How does this proof relate to the concept of vector spaces?

This proof is closely related to the concept of vector spaces, as polynomial rings can be seen as a special case of vector spaces where the elements are polynomials instead of vectors. Just like the dimension of a vector space is equal to the number of linearly independent vectors, the dimension of a polynomial ring is equal to the number of linearly independent polynomials.

5. Are there any other proofs for this theorem?

Yes, there are other proofs for this theorem, including using the concept of basis and the isomorphism between R[T] and R[x]. However, the proof based on linear independence is one of the simplest and most commonly used in mathematics.

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