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BY DEEP NANDI
BRANCH:- EE(2nd year)
ROLL NO.- 31
When all the elements (e.g. R, L,C)
in a network are replaced by lines
with circles or dots at both ends the
configuration is called graph of the
network.
 BRANCH
 NODE
 TREE
 TREE LINK
 TREE BRANCH
 LOOP
 MATRIX
: A branch is a line segment representing one
network element or a combination of element
connected between two points.
: A node point is defined as an end point of
a line segment and exist at the junction between two
branches.
: It is an inter connected open set of branches
which include all the nodes of given graph.
1
2
3
PROPERTIES OF TREE
 It consist of all the nodes of the graph .
 If the graph has n number of nodes the tree will n-1
number of branches
 There will be no closed path in the tree .
 There can be many possible different for a given graph
depending on the number of nodes and branches.
Graph theory[1]
INCIDENCE MATRIX
 Row -> node , column -> branch
 Algebraic sum of column entries of an incidence matrix
is zero.
 Determinant of incidence matrix of a closed loop is
zero .
1 2 3
1 2
4
3
5
Row -> cut-set , column -> branch
Draw the tree of the graph .
Take the direction of cut-set as the twig
direction .
The direction along the branch of cut-set
is taken as positive one and if the
direction is opposite it is taken as
negative one .
1 2 3
4
3
5
4
6
2
1
 R0w -> loop current , column -> branches
 Draw the tree from the given graph
 Take the direction of loop as a link direction.
 The branch having the same direction as a loop
direction is taken as 1 and if opposite direction it is
taken -1.
1
2 3
4
1 2
3
4 5I
 Relation between twig and link L=B-N+1
 If the graph as N number of nodes , tree will have N-1
branches.
 Number of trees of a graph T = determinant [A].[A]^t
 Orthogonal relationship [A].[B]^t =0 or [B][A]^t = 0
 [Vb] = [Q]^t .[Vt]
 [Vb] = [A]^t[Vn]
Graph theory[1]

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Graph theory[1]

  • 1. BY DEEP NANDI BRANCH:- EE(2nd year) ROLL NO.- 31
  • 2. When all the elements (e.g. R, L,C) in a network are replaced by lines with circles or dots at both ends the configuration is called graph of the network.
  • 3.  BRANCH  NODE  TREE  TREE LINK  TREE BRANCH  LOOP  MATRIX
  • 4. : A branch is a line segment representing one network element or a combination of element connected between two points. : A node point is defined as an end point of a line segment and exist at the junction between two branches. : It is an inter connected open set of branches which include all the nodes of given graph.
  • 6. PROPERTIES OF TREE  It consist of all the nodes of the graph .  If the graph has n number of nodes the tree will n-1 number of branches  There will be no closed path in the tree .  There can be many possible different for a given graph depending on the number of nodes and branches.
  • 8. INCIDENCE MATRIX  Row -> node , column -> branch  Algebraic sum of column entries of an incidence matrix is zero.  Determinant of incidence matrix of a closed loop is zero . 1 2 3 1 2 4 3 5
  • 9. Row -> cut-set , column -> branch Draw the tree of the graph . Take the direction of cut-set as the twig direction . The direction along the branch of cut-set is taken as positive one and if the direction is opposite it is taken as negative one .
  • 11.  R0w -> loop current , column -> branches  Draw the tree from the given graph  Take the direction of loop as a link direction.  The branch having the same direction as a loop direction is taken as 1 and if opposite direction it is taken -1.
  • 13.  Relation between twig and link L=B-N+1  If the graph as N number of nodes , tree will have N-1 branches.  Number of trees of a graph T = determinant [A].[A]^t  Orthogonal relationship [A].[B]^t =0 or [B][A]^t = 0  [Vb] = [Q]^t .[Vt]  [Vb] = [A]^t[Vn]