Solution to MAT310 C.A Test

(1a).  Let R be a relation defined on the vertex set of a graph G by URV, whenever U,UV(G). Show that R is an equivalence relation.

(b).  Ten lecture schedules denoted as t1,t2,...,t10 are assigned to some 300 level courses such that C1={t1,t2,t3},C2={t1,t3,t4,t5},C3={t2,t5,t6,t7},C4={t4,t7,t8,t9},C5={t2,t6,t7},C6={t8,t9,t10}, and C7={t1,t3,t9,t10}.
Draw a graph model to illustrate this information given that two courses are joined by an arc if they have a common time schedule.

(2a)  Show that every vertex of G belongs to exactly one component of G. Hence show that every edge of G belongs to exactly one component of G.

(b)  If F is a field and fF[x] has degree n, then show that F contain at most n root of f.

Solution:

(1a)  Since R is a relation defined on the vertex set of a graph G by URV whenever U,VV(G).
Then we are to show that R is an equivalent relation.
To show this, we know from definition that in an undirected graph, a vertex v is reachable from a vertex u if there is a path from u to v, then there is a relation between u and v, and the trivial vertex is counted as having a path of length zero. We thus say that R is an equaivalence if the following holds in the graph below:
(i) It is reflexive:There is a trivial path of length zero from any vertex to itself, which exists in the graph.
(ii) Symmetric: If there is a path from u to v, the same edges form a path from v to u, which holds.
(iii)Transitive: If there is a path from u v and a path from v to w, then there is a path from u to w, which also holds.
This can be verified by a graph, below is a triangular graph below:



A graph that satsifies equivalence relation.

(b) The lectures can be represented in  a graph like the one below: Remember when drawing a graph, it can be random, it is not necessary for it to look like this, except you  are drawing a special kind of graph like the kuratowski graph, peterson graph and maybe the fibonacci graph.


A graph representing ten lecture schedule.



(2a)   To show this, we need to define a component graph, A graph G is a component graph c(G)  if HG i.e H is a subgraph of G.
Then H is said to be a component of G if:
(i) H is connected
(ii)H is not contained in any connected subgraph of G which has more vertices or edges than H.
In the graph below it is evident that H is a connected component of G and for every vertex v1G there exists a u1H and for every edge e1G there exists a b1H, and hence the number of connected component is 2.


A connected component graph


(b)  Proof:   Since there is a natural embedding F[x]f, we may view f as a polynomial in F. Since F is a field, then F is a euclidean domain, so the division algorithm applies, and for any uF, we have
                                                          f(x)=q(x)(xu)+r
where q(x)F(x) and rF is a constant. If f(u)=0, it follows that r=0 and xu divides f(x) in F(x). If uu is another root of f(x) in F, since uu0, it follows that q(u)=0. continuing by induction on degf(x), we conclude that
                                          f(x)=(xu1)(xu2)...(xum)f1(x)
Where u1,u2,...,um are the distinct roots of f(x) in F and f1(x)F[x] has no roots in F except possibly those already listed.
Hence, clearly mdegf(x). End of Proof