Problems understanding proof of Cauchy theorem

In summary, the proof for Cauchy's theorem is done by induction on n = |G|, where n = p is the starting case. It is first proved for the special case where G is abelian and then for the general case. The proof for the abelian case involves taking a non-identity element a and considering the cyclic group it generates, H. If p divides |H|, then a|H|/p is an element of order p. If p does not divide |H|, then it divides the index of H in G, [G:H], which contains an element of order p by the inductive hypothesis. It is then shown that if p does not divide |Z(G)|,
  • #1
PsychonautQQ
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Here is part of the proof via wikipedia:

"We first prove the special case that where G is abelian, and then the general case; both proofs are by induction on n = |G|, and have as starting case n = p which is trivial because any non-identity element now has order p. Suppose first that G is abelian. Take any non-identity element a, and let H be the cyclic group it generates. If p divides |H|, then a|H|/p is an element of order p. If p does not divide |H|, then it divides the order [G:H] of the quotient group G/H, which therefore contains an element of order p by the inductive hypothesis..."

I am confused why if p does not divide |H| that it must divide the index of H in G. Can anyone help me out here?
 
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  • #2
I think it is because they have already made the assumption that p divides |G| and therefore (since p is prime), it must divide either |G|/|H| or |H|.
 
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  • #3
Okay, so p is a prime that divides |G|, so it must divide either |G|/|H| or |H|? Why?
 
  • #4
This is a general fact: if ##a## and ##b## are integers and ##p## is a prime number which divides ##ab##, then ##p## divides either ##a## or ##b##.

Proof: suppose ##p## divides ##ab## and ##p## does not divide ##a##. This means that ##p## and ##a## are relatively prime. Therefore, there exist integers ##m## and ##n## such that ##np + ma = 1##. Therefore, ##npb + mab = b##. Since ##p## divides ##ab##, it divides the left hand side of the equation, and therefore it also divides the right hand side, i..e. ##p## divides ##b##.

Alternative proof: ##a## and ##b## have unique prime factorizations, say ##a = p_1 \cdots p_j## and ##b = q_1 \cdots q_k##. Then the unique prime factorization of ##ab## is ##(p_1 \cdots p_j)(q_1 \cdots q_k)##. If ##p## does not divide ##a## or ##b##, then it does not appear in any of these factorizations, hence it does not divide ##ab##.
 
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  • #5
Oh, of course, thank you guys.

Am i doing this next step right?

Keeping the class equation in mind: (|G| = |Z(G)| + [G:N(a)])
"Since p | [G:N(a)] then p | Z(G)|"

We know p| |G| and we know p|[G:N(a)], so p| |Z(G)|.

The way I was thinking of it: if p|b and p|b+c, then p|c.
 
  • #6
I am not certain about where you are now in the proof. I'm reading the wiki page on Cauchy's theorem, in proof 1, for general case. Is that where you are too?
The class equation should be: |G| = |Z(G)| + Σ [G:N(a)] Where the sum is over one representative element from each conjugacy class, not in the center of Z. Also, wiki use C(a) instead of N(a), but it doesn't matter, since they are the same when acting on a singleton set, right?
Anyway, they are saying if p divides |Z(G)| then we are done, since the center is Abelian. But if p does not divide |Z(G)|, then we have p divides |Z(G)| + Σ [G:N(a)] but not |Z(G)| . Therefore, there must be at least one term in the sum which is not divisible by p (otherwise this would imply that p does divide |Z(G)| which we have assumed not to be true). So, there must be at least one term where p does not divide [G:N(a)] But p does divide |G|, therefore p must divide |N(a)|. and since 'a' is not central, N(a) is a proper subgroup of G. Finally, they say "This subgroup contains an element of order p by the inductive hypothesis and we are done". So I guess they mean that we use N(a) as our new group, and follow a similar line of reasoning, we either find that p divides |Z(N(a))| or N(a) contains another proper subgroup which is divisible by p, so we can inductively continue.
 
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  • #7
PsychonautQQ said:
We know p| |G| and we know p|[G:N(a)], so p| |Z(G)|.

The way I was thinking of it: if p|b and p|b+c, then p|c.
Yes, this reasoning is correct. If ##p## divides ##b## then we can write ##b = np## for some integer ##n##. If ##p## also divides ##b+c##, then ##b+c = mp## for some integer ##m##. Therefore, ##c = b - mp = np - mp = (n-m)p##, so ##p## divides ##c##.
 
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Related to Problems understanding proof of Cauchy theorem

1. What is the Cauchy theorem?

The Cauchy theorem, also known as the Cauchy integral theorem, is a fundamental theorem in complex analysis that establishes a connection between the values of a function inside a closed curve and the values of its derivatives on the boundary of the curve.

2. Why is it important to understand the proof of Cauchy theorem?

Understanding the proof of Cauchy theorem is important because it provides a rigorous mathematical justification for the theorem and allows us to apply it in various situations. It also helps us to gain a deeper understanding of complex analysis and its applications.

3. What are the key steps in the proof of Cauchy theorem?

The key steps in the proof of Cauchy theorem involve showing that the integral of a complex function along a closed curve can be expressed as a sum of its values at points inside the curve. This is then used to derive a formula for the value of the integral in terms of the values of the function at a point inside the curve.

4. What are some common challenges in understanding the proof of Cauchy theorem?

Some common challenges in understanding the proof of Cauchy theorem include the use of complex numbers and complex analysis techniques, as well as the abstract nature of the proof. It may also require a solid understanding of concepts such as derivatives and integrals in a complex plane.

5. Are there any real-world applications of the Cauchy theorem?

Yes, the Cauchy theorem has various real-world applications in physics, engineering, and other areas of science. It is used in the study of fluid dynamics, electromagnetism, and quantum mechanics, among others. It also has applications in signal processing, control theory, and image processing.

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