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and hence the z-dependence is merely u ( z ) = x(z)- Furthermore, it was found that the numerically determined envelope X(z) was a very close approximation to the electron wave function u(z) without the donor present. In this case, as is clear from Fig. 5.11, u ( z ) # x(z); this is illustrated more clearly in Fig. 5.12. Moving on to the GaAs/Ga1_xAlxAs material system and employing the bulk values of m* = 0.067mo and e = 13.18, Fig. 5.13 shows the effect of well width on the neutral donor binding energy, for donors at the centre of the well, for a variety of barrier compositions. As would be expected from earlier results, EDo peaks at a narrow well width and then tails off towards the bulk value. This important limit is explored further in Fig. 5.14; it is clear from this figure that the convergence is very close, and this helps give justification to the methods developed. The variation in the Bohr radius is displayed in Fig. 5.15, and it too converges well to a value of 104 A at very large well widths. This compares admirably with the value deduced from the simple bulk hydrogenic model of 103 A, calculated at the beginning of the chapter. The very small difference could arise from the finite A increment employed of 1 A.

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JM Zurada, Introduction to Artificial Neural Systems, PWS Publishing Company, 1999.

11.5 Summary

i.e. an electron with this wave vector G would have a wave function equal at all points in real space separated by a Bravais lattice vector R. Therefore:

that does not involve an existential quantification. Your solution should exhibit appropriate values for m and n. n

which implies that Now learning from the form for the Bravais lattice vectors R given earlier in equation (1.22), it might be expected that the reciprocal lattice vectors G could be constructed in a similar manner from a set of three primitive reciprocal lattice vectors, i.e. With these choices then, the primitive reciprocal lattice vectors can be written as follows:

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Summary

It is possible to verify that these forms do satisfy equation (1.30):

The general concept of a quantification has been introduced and furnished with a uniform notation. Summation, universal quantification and existential quantification have been discussed in detail. Rules for manipulating quantifications have been presented.

Now bi is perpendicular to both a2 and a3, and so only the product of b1 with ai is non-zero, and similarly for b2 and b3; hence:

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Properties of summation are discussed extensively in the book Concrete Mathematics, A Foundation for Computer Science by Graham, Knuth and Patashnik (1989). This excellent text is about 'the controlled manipulation of mathematical formulas, using a collection of techniques for problem solving'. Thus, although the subject matter is different, we share the same goal. Knuth (1969) points out the ambiguities of the Sigma notation. The formulation of the splitting rule for non-idempotent quantifiers and Exercise 11.19 (in the more general form where summation is replaced by an arbitrary quantifier) are due to Gries and Schneider (1993). Gries and Schneider use ordinary parentheses to delimit the scope of the dummies in a quantification. Which parentheses you choose to use is not significant, but we hope you will adopt the advice of always delimiting the scope in this way! The calculational formulation of the pigeon-hole principle (Exercise 11.59) is due to Edsger W. Dijkstra. (The undeserved status of the pigeon-hole principle', EWD 1094, 21 March 1991. The principle is called the 'Dirichlet box principle' in Graham, Knuth and Patashnik (1989).) Dijkstra points out how counterproductive the metaphor of pigeons in holes is, and how much easier it is to apply a simple mathematical formula. Dijkstra's (handwritten) documents are available from http: //www. cs. utexas. edu/~ ewd and are well worth reading. Several examples of the use of the formula can be found in Gries and Schneider (1993). Although it is beyond the scope of this text to discuss in detail, it is worth mentioning that quantifications are used extensively in database query languages. Below is a typical database query.

and in fact, the products b1.a; = 2T; therefore:

select author: Y from biblio._ X, X.author Y,

Clearly B1a1 + B2a2 + B3a3 is an integer, and hence equation (1.30) is satisfied. Using the face-centred cubic lattice vectors defined in equation (1.21), then:

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