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Another approach is to use the existence dependency (Section 2.4.1) relationship between objects to determine the required associations. Two objects have an existence dependency relationship if the existence of the child object is dependent on exactly one instance of the parent object. This means that the parent instance exists before the child instance is created and the child instance is deleted before the parent instance is deleted.

b, = n2"-'

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Use existence dependency to structure the associations in the library example, Example 2.6. Neither book nor person is existence dependent on library. However, their participation in the library in terms of patron and copy, respectively, does satisfy the existence dependency requirements. See Fig. 11-8.

Fig. 5.4 EXAMPLE 5.3 In Fig. 5.5, vector AB represents a force of 20 lb making an angle of 35 with the positive direction on the x axis and vector CD represents a force of 30 lb at 150 with the positive direction on the x axis. Both vectors are drawn to the same scale.

[i i]

patron patron #

[:i]

Two vectors are said to be equal if they have the same magnitude and direction. A vector has no fixed position in a plane and may be moved about in the plane provided that its magnitude and direction are not changed.

Fig. 11-8

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(b) Since the diagonal matrix D can be expressed as 21, we have DN = 21N = 2N = 2NI = N(2I)

Since N*= 0, then Nk = 0 for k 2 2, and we have Thus [see App. A, Eq. (A.431,

Use existence dependency to determine the association in the student section problem of Example 11.10. The object model developed in Example 11.10 does not satisfy the existence dependency rules, since section cannot be existence dependent on student or vice versa. Thus, an additional object called enrollment must be used. See Fig. 11-9.

which is the same result obtained in Prob..7.25. Note that a square matrix N is called nilpotent of index r if Nr-'# 0 and Nr= 0.

The resultant or vector sum of a number of vectors, all in the same plane, is that vector in the plane which would produce the same effect as that produced by all the original vectors acting together.

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Multiplicities are restrictions on the associations between instances of objects. The multiplicity is speci ed by an expression at the end of the association. The expression can be a single value, a range of values, or a list of ranges or single values. In the range, the two values are separated by two periods. The problem domain often has restrictions on how many relationships an instance of an object can have with instances of other objects.

7.27. The minimal polynomial m(A) of A is the polynomial of lowest order having 1 as its leading coefficient such that m(A) = 0. Consider the matrix 0 0

Use multiplicities to restrict how many times a copy of a book can be borrowed at a given time. As shown in Fig. 11-10 the 0..1 at the loan end of the association restricts a copy to be participating in at most one loan relationship at a time. The 1 at the copy end of the association requires a loan to have exactly one association with a copy. That is, there cannot be a loan without exactly one copy associated with the loan. The check-out association restricts the loan instance to be associated with exactly one patron. The patron can have the association with zero or more loan instances.

( a ) Find the minimal polynomial m(A) of A. ( b ) Using the result from part ( a ) , find An. (a) The characteristic polynomial c(A) of A is

If two vectors and have the same direction, their resultant is a vector R whose magnitude is equal to the sum of the magnitudes of the two vectors and whose direction is that of the two vectors. See Fig. 5.6(a). If two vectors have opposite directions, their resultant is a vector R whose magnitude is the difference (greater magnitude smaller magnitude) of the magnitudes of the two vectors and whose direction is that of the vector of greater magnitude. See Fig. 5.6 (b).

= A, = 2.

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