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Note that in Example 15.9 we really only have to compare each graph with one of the two graphs in Figure 15.7 on page 289, not both of them. Theorem 15.5 Graph Isomorphism Is an Equivalence Relation The isomorphism relation among graphs satisfies the three properties of an equivalence relation: 1. Every graph is isomorphic to itself. 2. If G 1 is isomorphic to G 2 then G 2 is isomorphic to G 1. 3. If G 1 is isomorphic to G 2 and G 2 is isomorphic to G 3 , then G 1 is isomorphic to G 3. THE ADJACENCY MATRIX FOR A GRAPH An adjacency matrix for a graph (V, E) is a twodimensional boolean array

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where sk for k = 0, I, . . . , N - 1 are the poles of a type 1 Chebyshev filter. The zeros bk lie on the j52-axis at the frequencies for which TN(Q,/ R ) = 0. The procedure for designing a type 11 Chebyshev filter is the same as for a type I filter, except that = ( 8 . - 1)- ' I 2 ~ ~

An elliptic filter has a system function with both poles and zeros. The magnitude of its frequency response is

boolean[][] a;

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public AVLTree attach(Object object) { if (root == null) { // tree is empty root = object; return this; } if (comp.compare(object,root) < 0) { // insert into left subtree if (left == null) { left = new AVLTree(object,comp); ++size; --balance; } else { int lb = left.balance; left = left.attach(object); if (left.balance != lb && left.balance != 0) { --balance; } } if (balance < -1) { if (left.balance > 0) { left = left.rotateLeft(); } return rotateRight(); } } else { // insert into right subtree if (right == null) { right = new AVLTree(object,comp); ++size; ++balance; } else { int rb = right.balance; right = right.attach(object); if (right.balance != rb && right.balance != 0) { ++balance; } } if (balance > 1) { if (right.balance < 0) { right = right.rotateRight(); } return rotateLeft(); } } return this; } private AVLTree rotateRight() // see Problem 12.5 on page 240

where UN(52/Qp) is a Jacobian elliptic function. The Jacobian elliptic function U N ( x ) a rational function of is order N with the following property:

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obtained by ordering the vertices V = {v0 , v1, ..., vn 1} and then assigning true to a[i][j] if and only if vertex vi is adjacent to vertex vj. EXAMPLE 15.10 An Adjacency Matrix

Elliptic filters have an equiripple passband and an equiripple stopband. Because the ripples are distributed uniformly across both bands (unlike the Butterworth and Chebyshev filters, which have a monotonically decreasing

private AVLTree rotateLeft() { AVLTree x = this, y = right, z = y.left; x.right = z; y.left = x; int xb = x.balance, yb = y.balance; if (yb < 1) { --x.balance; y.balance = ( xb>0 yb-1 : xb+yb-2 );

passband and/or stopband), these filters are optimum in the sense of having the smallest transition width for a given filter order, cutoff frequency Q,, and passband and stopband ripples. The frequency response for a 4th-order elliptic filter is shown in Fig. 9- 10.

Figure 12.9 on page 236 shows the binary search tree that is built by inserting the input sequence 44, 22, 77, 55, 99, 88, 33.

The design of elliptic filters is more difficult than the Butterworth and Chebyshev filters, because their design relies on the use of tables or series expansions. However, the filter order necessary to meet a given set of specifications may be estimated using the formula

CHAP. 12]

The design of a digital filter from an analog prototype requires that we transform ha(t) to h(n) or Ha(s) to H(z). A mapping from the s-plane to the z-plane may be written as

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