Proof of A U (intersect of B1 to Bn) = intersect of A U B1 to Bn

In summary, the given statement is a simple set theory equation that can be proven by showing inclusion in both directions. This involves breaking the equation down into its definitions and following them step by step. The first step is to prove that every point in A union the intersection of B from 1 to n is contained in the intersection of A union B from 1 to n. Then, the reverse inclusion must also be proven.
  • #1
rhyno89
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Homework Statement



prove the following:A U (intersect from i = 1 to n of Bi) = intersect of i from 1 to n of (A U B)


Homework Equations





The Attempt at a Solution



i started off trying to rewrite it and make it a bit more readable
A U (Bi and Bi+1) = Bi+1 and (A U Bi)
then i was going to expand them and write the outcomes and show that they have the same as the proof

for the first part i got: AA ABi ABi+1 and both Bs

my problem is that i think i messed up the right hand side when rewriting it because that way the most i can get is 2 outcomes

any thoughts?
 
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  • #2
This is really simple set theory, not so much probability theory. If you get lost doing something like this, the easiest thing to do is break it down to the definitions and follow your nose.

For sets (events) [tex]C[/tex] and [tex]D[/tex], the equation [tex]C = D[/tex] means "both [tex]C \subset D[/tex] and [tex]C \supset D[/tex]". So, to prove an equation between sets, prove inclusion in both directions.

The inclusion [tex]C \subset D[/tex] means "if [tex]x \in C[/tex], then [tex]x \in D[/tex]". So, to prove an inclusion between sets, prove that every point in the first set is contained in the second one.

So, you want to prove [tex]A \cup \bigcap_{i=1}^n B_i = \bigcap_{i=1}^n (A \cup B_i)[/tex]. Break it down into proving the inclusions in each direction. So suppose [tex]x \in A \cup \bigcap_{i=1}^n B_i[/tex]; you want to prove that [tex]x \in \bigcap_{i=1}^n (A \cup B_i)[/tex]. What does it mean for [tex]x[/tex] to belong to a union? To an intersection? Follow the definitions, one step at a time. Then prove the reverse inclusion.
 

FAQ: Proof of A U (intersect of B1 to Bn) = intersect of A U B1 to Bn

What is a simple probability proof?

A simple probability proof is a type of mathematical proof that uses basic principles of probability to show that a certain event or outcome is likely to occur. It is typically used to provide evidence for a hypothesis or to support a conclusion.

How is a simple probability proof different from other types of mathematical proofs?

A simple probability proof is based on the principles of probability, which involve calculating the likelihood of an event occurring based on a set of possible outcomes. This is different from other types of mathematical proofs that use logic, equations, and other mathematical concepts to prove a statement or theorem.

What are some common applications of simple probability proofs?

Simple probability proofs are commonly used in fields such as statistics, data analysis, and decision making. They can be used to predict the likelihood of an event occurring, evaluate the effectiveness of a strategy or decision, and provide evidence for a hypothesis.

What are the key components of a simple probability proof?

The key components of a simple probability proof include the definition of the event or outcome being studied, the calculation of the probability of the event occurring, and the explanation of how the probability supports the hypothesis or conclusion being tested. It may also include the use of diagrams, equations, or other visual aids to illustrate the proof.

Can a simple probability proof be used to prove a statement with 100% certainty?

No, a simple probability proof can only provide evidence for the likelihood of an event occurring, but it cannot prove a statement with 100% certainty. There is always a possibility of error or unknown factors that may affect the outcome, so the proof can only show that the event is likely to occur, not that it will definitely occur.

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