- #1
dana said:hey all, I am currently studing logic and set theory.
My professor solved this question in a way that seems quit strange to me-
Hope you could be of help.
I attached the question in image file so signs won't be lost
I like Serena said:Hi dana! Welcome to MHB! :)
It seems you have made a typo.
Can it be that you meant: "shouldn't she look at the case that will give p=true and prove that if follows that q=true"?
If so, that is exactly what she did.
She assumed that $p$=true.
In other words, that:
$$\forall C(A\cup B = B \cup C)\qquad (1)$$
From here she wanted to prove that $q$=true, meaning:
$$A=B\qquad\qquad\qquad\qquad (2)$$
So the question is if we can up with a chain of deductions that leads from (1) to (2).
Now perhaps I am misunderstanding you.
Can you explain?
dana said:hey Serena,
thanks for answering. Yes I had a typo- I ment if q=t then p=t.
my confusion is that she didnt say anything about all cases where p=t and c isn't the empty set. because see should prove this is correct for all cases not just one. am I correct?
Logic refers to the principles and rules of reasoning, while theory refers to a set of ideas or principles that explain a phenomenon. In other words, logic is a tool used to construct and evaluate arguments, while theory is a framework used to understand and explain the world.
A theory is considered valid if it is supported by evidence and can be used to make accurate predictions about the phenomenon it is trying to explain. It should also be logically consistent and able to withstand scrutiny and testing.
No, a theory cannot be proven in the same way that a mathematical equation can be proven. However, a theory can be supported by overwhelming evidence and accepted as the most reasonable explanation for a phenomenon.
Logic plays a crucial role in scientific research as it helps scientists form hypotheses, design experiments, and analyze and interpret data. It also allows for the evaluation and refinement of theories based on logical reasoning.
Scientists use deductive and inductive reasoning to evaluate evidence. Deductive reasoning involves using general principles to make specific predictions, while inductive reasoning involves making generalizations based on specific observations. Both methods help scientists draw logical conclusions from the available evidence.