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Foundations of Data Science

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a<br />

c<br />

R=1 R=2<br />

R=1<br />

b<br />

R=2<br />

d<br />

R=1<br />

Figure 5.14: An electrical network <strong>of</strong> resistors.<br />

u v<br />

u v u v<br />

Figure 5.15: Three graphs<br />

Exercise 5.27 (Thomson’s Principle) The energy dissipated by the resistance <strong>of</strong> edge xy<br />

in an electrical<br />

∑<br />

network is given by i 2 xyr xy . The total energy dissipation in the network<br />

is E = 1 i 2 2 xyr xy where the 1 accounts for the fact that the dissipation in each edge is<br />

2<br />

x,y<br />

counted twice in the summation. Show that the actual current distribution is the distribution<br />

satisfying Ohm’s law that minimizes energy dissipation.<br />

Exercise 5.28 (Rayleigh’s law) Prove that reducing the value <strong>of</strong> a resistor in a network<br />

cannot increase the effective resistance. Prove that increasing the value <strong>of</strong> a resistor cannot<br />

decrease the effective resistance. You may use Thomson’s principle Exercise 5.27.<br />

Exercise 5.29 What is the hitting time h uv for two adjacent vertices on a cycle <strong>of</strong> length<br />

n? What is the hitting time if the edge (u, v) is removed?<br />

Exercise 5.30 What is the hitting time h uv for the three graphs if Figure 5.15.<br />

Exercise 5.31 Show that adding an edge can either increase or decrease hitting time by<br />

calculating h 24 for the three graphs in Figure 5.16.<br />

Exercise 5.32 Consider the n vertex connected graph shown in Figure 5.17 consisting<br />

<strong>of</strong> an edge (u, v) plus a connected graph on n − 1 vertices and m edges. Prove that<br />

h uv = 2m + 1 where m is the number <strong>of</strong> edges in the n − 1 vertex subgraph.<br />

184

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