2011 Term 4 MAC Assigment

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    TASK 1

    1. F30 = 8320402. F14 = 3773. F146 = 1.45449 1030

    TASK 2

    1. L30 = 11498512. L14 = 5213. L146 = 2.01005 1030

    TASK 3

    (i)n

    n

    n F

    FLim

    1

    = 1.61803

    (ii)

    When the value of A1 is increased, the ratio of A2

    to A1 is effectively smaller but the next ratioA3 to A2 is evidently larger and in this forms a

    cycle until the ratio approaches the limit of 1.62803.

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    As the value of A2 increases, the ratio of A2 to A1 also grows while the

    proceeding ratio of A3 to A2 is diminished and this forms a reverse cycle as the ratio approaches

    the limit of 1.618034.

    When A1 = A2, the ratio is slowly increasing and approaching

    1.618034.

    TASK 4

    i)

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    ii)

    iii)

    iv)

    ( )

    TASK 5

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    TASK 6

    TASK 8

    N 1 2 3 4 5 6 7 8 9 10 11

    F(n) 1 1 2 3 5 8 13 21 34 55 89

    L(n) 2 1 3 4 7 11 18 29 47 76 123

    Ln = Fn-1 + Fn+1

    F2n = Ln Fn

    TASK 9

    12

    = 1 = 11

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    12

    + 12

    = 2 = 12

    12

    + 12

    + 22

    = 6 = 23

    12

    + 12

    + 22

    + 32

    = 15 = 35

    12 + 12 + 22 + 32 + 52 = 40 = 58

    12

    + 12

    + 22

    + 32

    + 52

    +82

    = 104 = 813

    12

    + 12

    + 22

    + 32

    + 52

    +82

    +132

    = 273 = 1321

    The sum of the squared values of consecutive terms in the Fibonacci sequence is equal to the

    last number in the multiplication sequence multiplied by the proceeding number in the

    Fibonacci sequence.

    b) (F1)2+ (F2)

    2+ (F3)

    2+ (F4)

    2+ (F5)

    2+ (F6)

    2+ .. + (Fn)

    2= Fn Fn+1

    c) C2 = C1 (A2)2

    TASK 10

    Frank Albert Benford (1883 1948) was an American electrical engineer and physicist best

    known for his Benford's Law, a statistical statement about the occurrence of digits in lists of data.

    Benford is also known for having devised, in 1937, an instrument for measuring the refractive

    index of glass. He was also an expert in optical measurements, he published 109 papers in the

    fields of optics and mathematics and was granted 20 patents on optical devices.

    Benford's law, also called the first-digit law, states that in lists of numbers from many (but not

    all) real-life sources of data, the leading digit is distributed in a specific, non-uniform way.

    According to this law, the first digit is 1 about 30% of the time, and larger digits occur as the

    leading digit with lower and lower frequency, to the point where 9 as a first digit occurs less

    than 5% of the time. A set of numbers is said to satisfy Benford's law if the leading digit d (d

    {1,, 9}) occurs with probability:

    Benford was a research physicist at General Electric in the 1930s when he noticed something

    unusual about a book of logarithmic tables. The first pages showed more wear than the last

    pages, indicating that numbers beginning with the digit 1 were being looked up more often than

    numbers beginning with 2 through 9. Benford seized upon this idea and spent years collecting

    data to show that this pattern was widespread in nature. In 1938, Benford published his results,

    citing more than 20,000 values such as atomic weights, numbers in magazine articles, baseball

    statistics, and the areas of rivers.

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    This counter-intuitive result has been found to apply to a wide variety of data sets, including

    electricity bills, street addresses, stock prices, population numbers, death rates, lengths of rivers,

    physical and mathematical constants, and processes described by power laws (which are very

    common in nature). It tends to be most accurate when values are distributed across multiple

    orders of magnitude.

    To test the accuracy and the usefulness of this law, the initial digits of numbers from F14 to F146

    were recorded and tabulated.

    Here is a table of the initial digits as produced by the Fibonacci Calculator:

    Initial digit frequencies of fib(n) for n from 14 to 146:

    Digit 1 2 3 4 5 6 7 8 9

    Frequency 40 23 16 13 11 8 8 8 6

    Percent 30 17 12 10 8 6 6 6 5