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Understanding Cut Sets in Network Theory

Apr 25, 2025

Network Theory Lecture: Cut Set, Fundamental Cut Set, and Cut Set Matrix

Introduction

  • Lecture part of Network Theory series.
  • Focus on understanding:
    • Cut Set
    • Fundamental Cut Set
    • Cut Set Matrix

Cut Set

  • Definition: Removal of some branches from a graph to bisect it into two parts.
  • Characteristics:
    • Removes branches; parts may not be equal or identical.
    • Necessary to bisect the graph.
  • Example:
    • Removing branches A, B, and C isolates Node 1 from another part of the graph.
    • Removing branches A, E, and F isolates Node 3 from branches B, C, and D.

Fundamental Cut Set

  • Definition: A cut set that includes one twig and the rest as links.
  • Relation to Tree: Identify a tree in the graph:
    • The number of branches in the tree = Total nodes - 1.
    • The tree should not form a closed loop.
    • Example tree: B, E, D (without closed loop)
  • Components:
    • Twigs: Branches included in the tree.
    • Links: Branches not part of the tree.
  • Example Setup:
    • Twigs: B, E, D
    • Links: A, C, F
    • Fundamental Cut Sets:
      • Cut Set 1 (C1): Twig B, Links A, C
      • Cut Set 2 (C2): Twig E, Links A, F
      • Cut Set 3 (C3): Twig D, Links C, F

Cut Set Matrix

  • Definition: Represents orientation of branches with respect to fundamental cut sets.
  • Orientation:
    • Direction of cut set aligns with the direction of the twig in fundamental cut set.
  • Direction Rules:
    • +1: Branch direction matches cut set direction.
    • -1: Branch direction opposes cut set direction.
    • 0: Branch not connected with cut set.
  • Example Construction:
    • Cut Sets: C1, C2, C3
    • Branches: A, B, C, D, E, F
    • Example Matrix:
      • C1: A(-1), B(+1), C(-1), D(0), E(0), F(0)
      • C2: A(+1), B(0), C(0), D(0), E(+1), F(-1)
      • C3: A(0), B(0), C(-1), D(+1), E(0), F(-1)

Conclusion

  • These concepts are foundational to calculating the cut set matrix.
  • Next Steps:
    • Explore properties of tie set matrix and cut set matrix.
    • Formulate KCL and KVL equations based on these matrices.

Closing

  • Emphasized understanding of cut sets and matrix formation.
  • Upcoming content will expand on properties and applications.
  • Encourage further review and practice on these foundational concepts.