Proving Set Subsets and the Cauchy-Schwarz Inequality: Insights and Techniques

In summary: Lets say you are given a set of statements and you need to ask some questions to prove them. You can do this by asking In summary what do these statements mean?
  • #1
courtrigrad
1,236
2
Lets say you are given a bunch of statements and you need to ask some questions to prove them:

(a) How do you show that a set is a subset of another set.
I said to show that [itex] x\in A [/itex] and [itex] x\in B [/tex]. What else can you do to show what [itex] A\subset B [/itex]? Could you assume from the following: If [itex] A\cup B = B\cup A [/itex] then [itex] A\subset B [/itex]? (sorry, not experienced in set theory).

(b) If [itex] a [/itex] and [itex] b [/itex] are real nonnegative real numbers, then [itex] a^{2}+b^{2} \leq (a+b)^{2} [/itex]. Is this the Cauchy-Schwarz inequality? Basically, the questions that I ask in this case, is how can I prove that [itex] a^{2}+b^{2} \leq (a+b)^{2} [/itex] or [itex] (a+b)^{2}\geq a^{2}+b^{2} [/itex] and work from this (forward or backward)?

Thanks
 
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  • #2
(a) Start by assuming x is a member of set A. Then show that it must be in set B. This will prove that A is a subset of B.

Also, if you can show [tex] A \cap B = A [/tex] then that works too.

(b) Multiply out the [tex] (a + b)^{2} [/tex] and notice the extra term. What can you say about the sign of this term given what you've assumed about a and b?
 
  • #3
a. What you show is that if x is in A, THEN x is in B. Just showing that there is some x that is in A and also in B is not enough. You should convince yourself of this.

b. What is (a + b)^2 also equal to?

By the way, you should be careful about the [tex] \subset [/tex] symbol. Depending on the context [tex] A\subset B [/tex] can mean that A is a subset of B and not equal to B. It may be better to say [tex]A \subseteq B[/tex]
 
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  • #4
Not actually trying to prove statements. Just trying to ask the right questions to develop the proof.
 
  • #5
for the first question if you don't mind some quantifiers to clear up what you need to prove:
[tex]\forall x(x\in A \rightarrow x\in B)[/tex]
 
  • #6
loop quantum gravity said:
for the first question if you don't mind some quantifiers to clear up what you need to prove:
[tex]\forall x(x\in A \rightarrow x\in B)[/tex]
I think the quantifier is superfluous in this statement, although I'm no logician.
 
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  • #7
A is a subset B means every element x in A is also in B. So to show A is a subset of B, you have to show every element in A is also in B. You start by assuming there is some x(it's arbitrary) in A, then show that x is also in B. Since the x was arbitrary, it holds for all the x's in A, so that's why it works. More precisely, loop gravity's post sums up what it means for A to be a subset of B.
 

Related to Proving Set Subsets and the Cauchy-Schwarz Inequality: Insights and Techniques

1. What is the Cauchy-Schwarz inequality?

The Cauchy-Schwarz inequality is a mathematical concept that states the maximum value of the dot product of two vectors is equal to the product of their magnitudes. In other words, it shows the relationship between the inner product of two vectors and their lengths.

2. How is the Cauchy-Schwarz inequality used to prove set subsets?

The Cauchy-Schwarz inequality can be used to prove set subsets by showing that the inner product of two vectors is equal to the product of their lengths. This can be applied to sets by considering each element of the set as a vector and using the Cauchy-Schwarz inequality to show that the inner product of the elements is equal to the product of their magnitudes, thus proving the subset relationship.

3. What insights can be gained from proving set subsets using the Cauchy-Schwarz inequality?

By using the Cauchy-Schwarz inequality to prove set subsets, we can gain a deeper understanding of the relationship between the elements of a set. We can also see how the magnitude of each element affects the overall relationship between the sets.

4. What techniques are commonly used in proving set subsets with the Cauchy-Schwarz inequality?

Some common techniques used in proving set subsets with the Cauchy-Schwarz inequality include considering each element of the set as a vector, using the inner product of two vectors, and manipulating the inequality to show the subset relationship.

5. How is the Cauchy-Schwarz inequality related to other mathematical concepts and theorems?

The Cauchy-Schwarz inequality is related to other mathematical concepts and theorems such as the triangle inequality, Hölder's inequality, and the Schwarz inequality. It is also a fundamental concept in linear algebra and is used in various fields such as physics, economics, and statistics.

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