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Foundations of Data Science

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v ij = 1 + ∑ k adj<br />

to i<br />

1<br />

d i<br />

v kj = ∑ k adj<br />

to i<br />

1<br />

d i<br />

(1 + v kj ). (5.11)<br />

Now the hitting time from i to j is the average time over all paths from i to k adjacent<br />

to i and then on from k to j. This is given by<br />

h ij = ∑ k adj<br />

to i<br />

Subtracting (5.12) from (5.11), gives v ij − h ij<br />

1<br />

d i<br />

(1 + h kj ). (5.12)<br />

= ∑ k adj<br />

to i<br />

1<br />

d i<br />

(v kj − h kj ). Thus, the function<br />

v ij − h ij is harmonic. Designate vertex j as the only boundary vertex. The value <strong>of</strong><br />

v ij − h ij at i = j, namely v jj − h jj , is zero, since both v jj and h jj are zero. So the function<br />

v ij −h ij must be zero everywhere. Thus, the voltage v ij equals the expected time h ij from<br />

i to j.<br />

To complete the pro<strong>of</strong>, note that h ij = v ij is the voltage from i to j when currents are<br />

inserted at all vertices in the graph and extracted at vertex j. If the current is extracted<br />

from i instead <strong>of</strong> j, then the voltages change and v ji = h ji in the new setup. Finally,<br />

reverse all currents in this latter step. The voltages change again and for the new voltages<br />

−v ji = h ji . Since −v ji = v ij , we get h ji = v ij .<br />

Thus, when a current is inserted at each vertex equal to the degree <strong>of</strong> the vertex<br />

and the current is extracted from j, the voltage v ij in this set up equals h ij . When we<br />

extract the current from i instead <strong>of</strong> j and then reverse all currents, the voltage v ij in<br />

this new set up equals h ji . Now, superpose both situations, i.e., add all the currents and<br />

voltages. By linearity, for the resulting v ij , which is the sum <strong>of</strong> the other two v ij ’s, is<br />

v ij = h ij + h ji . All currents cancel except the 2m amps injected at i and withdrawn at j.<br />

Thus, 2mr ij = v ij = h ij + h ji = commute(i, j) or commute(i, j) = 2mr ij where r ij is the<br />

effective resistance from i to j.<br />

The following corollary follows from Theorem 5.9 since the effective resistance r uv is<br />

less than or equal to one when u and v are connected by an edge.<br />

Corollary 5.10 If vertices x and y are connected by an edge, then h xy + h yx ≤ 2m where<br />

m is the number <strong>of</strong> edges in the graph.<br />

Pro<strong>of</strong>: If x and y are connected by an edge, then the effective resistance r xy is less than<br />

or equal to one.<br />

168

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