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A limit is a specific, well-defined quantity that a sequence, series, relation, or function approaches The value of the sequence, series, relation, or function can get arbitrarily close to the limit, but doesn t always reach it

An example Let s look at an infinite sequence A that starts with 1 and then keeps getting smaller For any positive integer n, the nth term is 1/n, so we have

A = 1, 1/2, 1/3, 1/4, 1/5, , 1/n,

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If we allow too much change, the whole project can go over budget or simply fall apart under its own weight We can avoid this by adding a contingency fund and time budget for customer change requests To do this, we explain change control from the start Then we tell the customers that, if they request a change later on, the money will be drawn from their contingency fund, and they may need to allow for later delivery If this is done well, it helps customers take responsibility for the changes they request It gives incentive for them to make an accurate assessment of the value of the change, and decide if they want to incur the costs of adding work to the project so that they can get the extra feature added to the product or service However, we need to be careful.

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This is a simple example of a special type of sequence called a harmonic sequence In this particular case, the values of the terms approach 0 The hundredth term is 1/100; the thousandth term is 1/1000; the millionth term is 1/1,000,000 If we choose a tiny but positive real number, we can always find a term in the sequence that s closer to 0 than that number But no matter how much time we spend generating terms, we ll never get 0 We say that The limit of 1/n, as n approaches infinity, is 0, and write it as Lim 1/n = 0

tions of a controlled variable. The common denominator in all these situations is the manipulation of a single final element through more than one control loop.

Another example Consider the sequence B in which the numerators ascend one by one through the set of natural numbers, while every denominator is equal to the corresponding numerator plus 1 For any positive integer n, the nth term is (n 1)/n, so we have

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It would not be fair to use the contingency for customer change requests for xing a problem the customer nds in our work, or for solving a problem outside their control For that, we use the contingency for risk events How big should our contingencies be There is no easy answer to this question Major corporations that use quantitative risk analysis can adapt statistical formulas to determine the size of contingencies However, most of the time, we have to evaluate the project, the risk plan, and the customer Evaluating the project means asking how routine vs how unique the work and the tools are for the team We evaluate the risk plan by reading it through and thinking about what contingencies we will need to cover the amount of risk that is likely to occur overall, plus a bit more for bad luck.

B = 0/1, 1/2, 2/3, 3/4, 4/5, , (n 1)/n, As n becomes extremely large, the numerator (n 1) gets closer and closer to the denominator, when we consider the difference in proportion to the value of n Therefore Lim (n 1)/n = n/n = 1

Still another example Let s see what happens in a sequence C where every numerator is equal to the square of the term number, while every denominator is equal to twice the term number For any positive integer n, the nth term is n 2/(2n), so we have

C = 1/2, 4/4, 9/6, 16/8, 25/10, 36/12, 49/14, , n 2 / (2n), Note that n 2/(2n) = n /2 This tells us that Lim n 2/(2n) = Lim n /2

We evaluate the customer, based on past experience if we have any, on how quickly and clearly they respond to information we give them, on the degree to which they understand the 1:10:100 rule and the importance of stages, gates, and project management, on the.

As n grows larger without end, so does n /2 Therefore Lim n /2

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