Why Does G Equal N_G(P)N in Group Theory?

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In summary, the conversation discusses the relationship between a finite group G and its normal subgroup N, as well as a Sylow p-subgroup P of N. The goal is to prove that G is equal to the product of the normalizer of P in G and N. The number of conjugates of P in G is equal to the index of the normalizer of P in G, which can be explained by the fact that N moves P around to all its conjugates inside N. The conversation also mentions the use of a transitive subgroup acting by conjugation and an isotropy subgroup for this action to prove the desired result.
  • #1
bham10246
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This shouldn't be too hard but I'm having a hard time putting a few pieces together.

Let [itex]G[/itex] be a finite group with [itex]N[/itex] a normal subgroup. Let [itex]P[/itex] be a Sylow [itex]p[/itex]-subgroup of [itex]N[/itex]. Prove that [itex]G=N_G(P)N[/itex], where [itex]N_G(P)[/itex] denotes the normalizer of [itex]P[/itex] in [itex]G[/itex].

My attempts: I know that the number of conjugates of P in G equals the index of the normalizer of P in G. What I don't understand is: why does the number of conjugates of P in G equal the normal subgroup N?
 
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  • #2
well it looks plausible ebcause NP(G) is th stuff in G that leaves P inside P, and N moves P around to all its conjugates inside N. Since N is normal also all elments of G leave P inside of N, so if you have the stuff that leaves P fixed when acting by conjugation, and also have a transitive subgroup acting by conjugation, you should have everyone.

i.e. let G act on P by conjugation and prove NP(G)N contains a a transitive subgroup for this action, plus the full isotropy subgroup. then it is done isn't it? by the usual trick for finding automorphism groups. i.e. any group that acts transitively and contains an isotropy group of on point is the full automorphism group. (see cartan's wonderful little book on complex variables, in the section on complex automorphisms.)
 
  • #3


The normalizer of a subgroup P in a group G is defined as the set of elements in G that commute with every element in P. In other words, the normalizer is the largest subgroup of G in which P is a normal subgroup. In this case, we have a finite group G with a normal subgroup N, and we are looking at the Sylow p-subgroup P of N.

First, we need to understand that the number of conjugates of P in G is equal to the index of the normalizer of P in G. This is because the number of conjugates of P in G is the number of distinct subgroups that are isomorphic to P, and each of these subgroups has the same index in G as the normalizer of P.

Now, to prove that G=N_G(P)N, we need to show that every element in G can be written as a product of an element in N_G(P) and an element in N. Let g be an element in G, we need to show that there exists an element n in N and an element n_p in N_G(P) such that g=n_pn.

Since P is a Sylow p-subgroup of N, we know that P is a subgroup of N with index p^k, where p is a prime number and k is a positive integer. This means that N has p^k subgroups that are isomorphic to P. Since the number of conjugates of P in G is also p^k, we can say that each of these subgroups is conjugate to each other.

Now, let n be an element in N, and let n_p be an element in N_G(P) such that n_p*P*n_p^-1=n. This means that n_p is an element in G that normalizes P, and thus, n_p is also an element in N_G(P). Therefore, we can write g=n_pn, where n_p is in N_G(P) and n is in N. This shows that every element in G can be written as a product of an element in N_G(P) and an element in N, and hence, G=N_G(P)N.

In conclusion, the number of conjugates of P in G is equal to the index of the normalizer of P in G, and this helps us prove that G=N_G(P)N. The normalizer plays a crucial role in
 

FAQ: Why Does G Equal N_G(P)N in Group Theory?

What is a normalizer?

A normalizer is a statistical method used to transform data into a more standardized or normalized form. It is commonly used in data analysis to make comparisons and interpretations easier.

What is the purpose of using a normalizer?

The main purpose of using a normalizer is to eliminate the influence of scale differences on the data, making it easier to compare and interpret. It also helps to reduce the impact of outliers and improve the accuracy of statistical analyses.

How does a normalizer work?

A normalizer works by applying a mathematical formula to the data, which transforms it into a standardized form. This formula is typically based on the mean and standard deviation of the data, and it can be applied to individual data points or entire datasets.

What are some common types of normalizers?

Some common types of normalizers include z-score normalization, min-max normalization, and decimal scaling normalization. Each type of normalizer has its own formula and method of transforming data into a normalized form.

When should a normalizer be used?

A normalizer should be used whenever the data being analyzed has significant scale differences or when making comparisons between different datasets. It is also useful in cases where outliers may heavily influence the data and affect the accuracy of statistical analyses.

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