Remember to follow the guidelines I laid out for proving claims about subsets in the lectures and in the notes. In particular, do not use modus tollens, the contrapositive, or de Morgan's laws to bypass proof by contradiction When it comes to subsets and set operations, the only facts you can use are the rules of natural deduction and the following definitions Here are the definitions about sets that you will need for these proofs: Definition. x E An B means that x E A and r E B. Definition. x E AU B means that x E A or x E B. Definition. x E A\ B means that x E A and x f B. Definition. x E A means that x £ A. Definition. ACB means that every member of A is also a member of B 1. For the following claims, first decide if they are true or false. If they are true, then give an informal proof of the claim. If they are false, then give a counterexample that disproves the claim (a) For all sets A and B: AUBCA (b) For all sets H, I, J, and K: if H C I and J C K, then (Hn J)C (In K) (c) For all sets A, B, C, D, and E: if AU B C C, then D\CCD\(An E) (d) For all sets A, B, and C: if A C C, then AUB CBUC (e) For all sets A, B, and C: if A C C, then AUBCBNC (f) For all sets X, Y, and Z: if (Xn Y) C Z, then X C Y n Z
Minimization
In mathematics, traditional optimization problems are typically expressed in terms of minimization. When we talk about minimizing or maximizing a function, we refer to the maximum and minimum possible values of that function. This can be expressed in terms of global or local range. The definition of minimization in the thesaurus is the process of reducing something to a small amount, value, or position. Minimization (noun) is an instance of belittling or disparagement.
Maxima and Minima
The extreme points of a function are the maximum and the minimum points of the function. A maximum is attained when the function takes the maximum value and a minimum is attained when the function takes the minimum value.
Derivatives
A derivative means a change. Geometrically it can be represented as a line with some steepness. Imagine climbing a mountain which is very steep and 500 meters high. Is it easier to climb? Definitely not! Suppose walking on the road for 500 meters. Which one would be easier? Walking on the road would be much easier than climbing a mountain.
Concavity
In calculus, concavity is a descriptor of mathematics that tells about the shape of the graph. It is the parameter that helps to estimate the maximum and minimum value of any of the functions and the concave nature using the graphical method. We use the first derivative test and second derivative test to understand the concave behavior of the function.
Discrete Math problem 1. (f) see attachment.
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