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Chapter 3 Finite and infinite sets
Chapter 3 Finite and infinite sets

... A matching between two sets A and B is a correspondence between them that matches each element of A to just one element of B, and each element of B to just one element of A. (This is not a precise definition; we will see the definition later. But the idea is clear without worrying about how the defi ...
Honors problem 7: complex series.
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Solutions for Review problems (Chpt. 3 and 4) (pdf file)
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... Big idea: The limit of a sequence of real numbers can be determined in much the same way that the limit of a function can be determined. Big skill: You should be able to find the limit of a sequence of real numbers given the “general ...
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... as o(n) = 2n9 a(ft) = kn (k _> 2, an integer), or a(ft) = 2n-f 1, respectively, where o(n) is the sum of the positive divisors of ft. No odd multiperfect numbers are known. In many papers concerned with odd perfect numbers (summarized in McDaniel & Hagis [5]), values have been obtained which cannot ...
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... an issue with this approach. (Jan/Mar/May ’07 LNPAWG mtgs – it was mentioned that the reference here to “1” is confusing since that is not the decimal equivalent when a 32-bit number is rolled over, so instead of “1” the correct reference should say “minus [2**31]”. As discovered during industry tes ...
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... Our problems are essentially of two types, divisor problems and addition problems. Each problem requires both experimentation and proof. The proofs typically use the Principle of Mathematical Induction (PMI). PMI says that if a proposition P about the nonnegative integers is true about 0 (or in some ...
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... The most comprehensive work on this problem is the work of Liogon’kiı̆ [Lio69].2 In addition to pointing out that asymptotic conditional probabilities do not exist in general, he shows that it is undecidable whether such a probability exists. He then investigates the special case of conditioning on ...
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Law of large numbers



In probability theory, the law of large numbers (LLN) is a theorem that describes the result of performing the same experiment a large number of times. According to the law, the average of the results obtained from a large number of trials should be close to the expected value, and will tend to become closer as more trials are performed.The LLN is important because it ""guarantees"" stable long-term results for the averages of some random events. For example, while a casino may lose money in a single spin of the roulette wheel, its earnings will tend towards a predictable percentage over a large number of spins. Any winning streak by a player will eventually be overcome by the parameters of the game. It is important to remember that the LLN only applies (as the name indicates) when a large number of observations are considered. There is no principle that a small number of observations will coincide with the expected value or that a streak of one value will immediately be ""balanced"" by the others (see the gambler's fallacy)
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