Prove: X Contains at Most n(n-1)/2 Elements in Subset of a Group

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In summary, we are given a group G and a subset A of G with n elements, where each element in A does not have its inverse in A. The set X is defined as the set of ordered pairs (a,b) where a and b are in A and ab is also in A. We need to prove that X contains at most n(n-1)/2 elements. To do this, we use the fact that G is a group and has certain properties such as having an identity element and inverse for each element. We also consider the cases where A has the identity element and where it does not, which affects the number of elements in X. Ultimately, this helps us see that the maximum number of elements in X is n
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Let G be a group and A a subset of G with n elements such that if x is in A then x^(-1) is not in A. Let X={(a,b) a in A, b in A, ab in A}. Prove that X contains at most n(n-1)/2 elements.
 
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Hint: X is largest when a,b in A => ab in A.
 
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That's how X is defined. What exactly do you mean?
 
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Let's see what we are given. We have G as a group and A as a subset of G. Thus, since G is a group, we have the following giveaways:

1) G is closed under the binary operation
2) G is associative under the binary operation
3) G has an identity element
4) G has an inverse for each element

A is a subset of G with n elements, such that each element has it's inverse NOT contained in the set.

Since A is just a subset of G, we cannot assume that it will have an identity (this is only a giveaway if it were a subgroup). Thus, we will have some sort of a max here, meaning, there is a version of A that has the identity, and a version without the identity.

This matters because the inverse of an identity is itself. Thus if we have A with an identity, we'd have to remove it completely from the set since a = a^-1 and a^-1 is not permitted in A. This gives us (n-1) elements.

Now, what happens when A does NOT have the identity? This means you have n elements since each a in A is not a self-inverse.

Thus you have to account for a set that factors in self-inverses, and a set that doesn't. Getting the number of non-inverses just amounts to taking half of the given number of elements of the particular set (since we know through G that each element of A does have an inverse).

Try applying this to X.
 

FAQ: Prove: X Contains at Most n(n-1)/2 Elements in Subset of a Group

How do you prove that X contains at most n(n-1)/2 elements in a subset of a group?

To prove this statement, we can use the Pigeonhole Principle. This principle states that if there are n pigeons and m pigeonholes, where n > m, then at least one pigeonhole must contain more than one pigeon. We can apply this principle to our problem by considering the elements in X as pigeons and the subsets of the group as pigeonholes. If we have n elements in X and n-1 subsets of the group, then by the Pigeonhole Principle, at least one subset must contain more than one element from X. Therefore, X contains at most n(n-1)/2 elements in a subset of a group.

Can you provide an example to illustrate this statement?

Yes, let's consider a group G with 4 elements: {a, b, c, d}. We want to show that if we have a subset X with 6 elements, then X cannot be a subset of G. We can create 4 subsets of G: {a}, {b}, {c}, {d}. By the Pigeonhole Principle, at least one of these subsets must contain more than one element from X. Therefore, X cannot be a subset of G. This example shows that if we have n elements in X, we can have at most n(n-1)/2 subsets of G.

Can this statement be applied to any group and subset?

Yes, this statement can be applied to any group and subset as long as the group has at least n elements and the subset has n(n-1)/2 elements. This is because the Pigeonhole Principle is a general principle that can be applied to any situation where we have more objects than containers. Therefore, the statement "X contains at most n(n-1)/2 elements in a subset of a group" holds true for any group and subset that satisfy these conditions.

Is this statement related to any other mathematical concepts?

Yes, the Pigeonhole Principle is closely related to the concept of counting and combinatorics. It is often used to prove various counting theorems and solve problems in combinatorics. Additionally, this statement is also related to the concept of set theory, where we can think of the elements in X as a set and the subsets of the group as the power set of that set. This connection allows us to apply the Pigeonhole Principle to prove this statement.

How can we use this statement in real-life scenarios?

This statement can be used in various real-life scenarios, such as scheduling problems, allocation problems, and even in computer science. For example, when scheduling a group of people for a project, we can use this statement to show that if we have n people and n(n-1)/2 time slots, then at least one person will have to complete more than one task. This can help in optimizing the allocation of resources and avoiding conflicts in schedules. In computer science, this statement can be applied to analyze the efficiency of algorithms that involve subsets of a group.

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