NETWORK ANALYSIS - QUIZ 2

What is the definition of an incidence matrix in network analysis?

• • A matrix representing the connection between nodes and branches in a network

• • A matrix that represents the impedance of the network components

• • A matrix used to calculate the power loss in a network

• A matrix that represents the voltage levels at different nodes in the network

What does each row of an incidence matrix represent?

• A branch in the network

• A node in the network

• A loop in the network

• The voltage across a branch

In an incidence matrix, what does a value of +1 indicate?

• The branch is directed away from the node

• The branch is directed towards the node

• The branch is a self-loop

• The branch is isolated

If a network has n nodes and b branches, what will be the dimensions of its incidence matrix?

• n x n

• b x b

• n x b

• b x n

In a network, if a branch does not connect to a node, what is the value in the corresponding entry of the incidence matrix?

• +1

• -1

• 0

• 2

For a network with 4 nodes and 5 branches, what will be the order of its incidence matrix?

• 4 x 4

• 4 x 5

• 5 x 4

• 5 x 5

What does the driving point impedance represent in a network?

• a) The ratio of voltage to current at the same port port

• b) The ratio of voltage at one port to current at another

• c) The sum of all impedances in the network

• d) The product of voltage and current at different ports

In a pole-zero plot, what do the poles represent?

• a) Points where the transfer function is zero

• b) Points where the transfer function is infinite

• c) Points where the transfer function is unity

• d) Points where the transfer function is negative

In a lattice network, how are the elements arranged?

• a) In a series-parallel combination

• b) In a bridge configuration

• c) In a cross-connected symmetrical arrangement

• d) In a cascaded series connection

Which method is used to analyze networks in the frequency domain?

• a) Nodal analysis

• b) Mesh analysis

• c) Laplace transform

• d) Fourier transform