Discrete Mathematics for Computer Science

(Romina) #1
Chapter Review 217

the same number of places to the right or to the left. Prove that this relation is an equiv-
alence relation. How many equivalence classes are there, and what are the members
of each equivalence class? Can you conjecture how many equivalence classes there
would be if there were n friends?


  1. Let R be a reflexive relation on a set A. R is an equivalence relation if and only if
    (a, b), (a, c) E R implies that (b, c) e R.

  2. Let T be a relation on A, and let R be a reflexive and transitive relation on A. Prove that
    T is an equivalence relation on A provided (a, b) e T if and only if (a, b), (b, a) E R.

  3. Let R 1 be a partial order on S and R 2 a partial order on T. For (si, tI), (s2, t 2 ) E S x T,
    define (sl, t 1 ) R 3 (s2, t 2 ) if and only if sl R 1 s2 andt 1 R 2 t 2 .Prove that R 3 is a partial
    order.

  4. Let X = { 1, 2, 3, 41, and let P (X) be the power set of X. Let P (X) be partially ordered
    by set inclusion. Find an embedding of this partial ordering into a total ordering.


3.12.4 Using Discrete Mathematics in Computer Science

Definition. An upper bound of two elements in a partial order is an element that is
greater than both of the elements. A least upper bound is an upper bound that is smaller
than any other upper bound. A lower bound of two elements in a partial order is an element
that is less than both of the elements. A greatest lower bound is a lower bound that is
larger than any other lower bound.


  1. Find the least upper bound and the greatest lower bound of each pair of elements in the
    partial order represented by the following diagram:


h

f g

e
d

bc

a


  1. Find the least upper bound and the greatest lower bound of each pair of elements in the
    partial order represented by the following diagram:


f g

e
d

bc

a
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