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The Geometry The Nucleus

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Figure 2<br />

CONSTRUCTION OF A<br />

GOLDEN MEAN RECTANGLE<br />

Take a square and fold it in half,<br />

and then fold this in half again,<br />

diagonally. Extend one side of the<br />

square by the length of this diagonal,<br />

beginning to measure off<br />

the diagonal from the midpoint<br />

of the square. <strong>The</strong> rectangle thus<br />

produced will be a golden mean<br />

rectangle. This construction can<br />

be replicated beginning with any<br />

arbitrary rectangle and it will rapidly<br />

approach the shape of a<br />

golden mean rectangle.<br />

is an absolute limit on the carryingcapacity<br />

(we may assign the limiting<br />

value of the population the value of 1),<br />

then one must assume that the rate of<br />

growth is no longer constant, but is<br />

modified by the difference between<br />

the size of the population and its limit<br />

[R = r (1 - X„)]. This leads, by simple<br />

algebraic substitution, to a transformed<br />

function X„ +1 = (1 + r)X„ -<br />

rX n 2 .<br />

<strong>The</strong> interest in the function emerges<br />

from the fact that if we begin with a<br />

population size under 1, the function<br />

will approach its limit—but only providing<br />

that ris less than 2. When /-equals<br />

2, an instability occurs, which is resolved<br />

as a periodic oscillation between<br />

two population levels. To<br />

achieve this, we can go to r = 2.3, and<br />

study the behavior of alternating terms<br />

of the function X n+2 = f[f(X n )] = P(X„).<br />

<strong>The</strong>se values will remain stable until<br />

r reaches the value of V6, when a fourfold<br />

oscillation begins. This period<br />

doubling continues until the value of r<br />

= 2.470, at which the process remains<br />

unstable. An interesting geometric relationship<br />

emerges between the limiting<br />

values of r, the values at which<br />

phase changes occur. If we treat these<br />

values as branch points and take the<br />

ratio of the differences in r, betweer<br />

neighboring branch points, this value<br />

will approach 4.669. . . as n increas<br />

es—a value known as the Feigenbaurr<br />

number, after its discoverer. <strong>The</strong> for<br />

mula for this is (r„ - r„_,)/(r n +, - k).<br />

<strong>The</strong> Fibonacci Series<br />

<strong>The</strong> study of recursive functions i<br />

not new. Indeed, as long ago as the<br />

start of the 13th century, the mathe<br />

matician Leonard of Pisa (also knowr<br />

as filius [son of] Bonacci, or Fibonacci<br />

was asked to develop a population<br />

function to study the unrestrained<br />

population growth of rabbits. Th!<br />

function he developed, the famous fibonacci<br />

series, also has a wide area o f<br />

applicability: It turns out that r in thi;<br />

case will approximate the golden meai i<br />

more and more closely.<br />

Thus, this function turns out to b s<br />

an excellent model for the development<br />

of such disparate structures as<br />

seashells, the human body, and th;<br />

formation of galaxies. It governs th s<br />

spacing of leaves around a plant sten<br />

and the distances of the planets fror i<br />

the Sun. <strong>The</strong> fibonacci series is dete -<br />

mined by a simple rule: <strong>The</strong> next terr i<br />

in the series is equal to the last tern<br />

added to the one before it. If we begi i<br />

the series with the number 1, it progresses<br />

as follows: 1,1, 2, 3, 5, 8, 1!l,<br />

21,...<br />

This model of population growth s<br />

important because it actually shov s<br />

how the division of labor in a popul >-<br />

tion allows the nurturing of future p< >-<br />

tentialities. In the case of the rabr.it<br />

population, obviously young rabbits c o<br />

not add to the carrying-capacity of tl e<br />

rabbit population, which will event I-<br />

ally strip the vegetation upon which it<br />

depends for food. But in the case >f<br />

humans, it is precisely the nurturii g<br />

(which emphatically includes education)<br />

of young that provides the poal<br />

from which technological innovatic n<br />

emerges. It is the succession of su :h<br />

technologies that have raised us, a< a<br />

species, from a population potential :>f<br />

around 10 million to one of at leas^ I<br />

billion.<br />

Fibonacci's model was simple, ijie<br />

supposed that two rabbits produce<br />

pair of young (one of each sex) eve ry<br />

month, and that it takes two montis<br />

for the pair to sexually mature and th ;n<br />

begin to reproduce (Figure 1). Thi s,<br />

there is a lag between the birth of a<br />

pair of rabbits and their joining the reproductive<br />

cycle. <strong>The</strong> population is increased<br />

each month, by adding a new<br />

cohort equal to the number of rabbits<br />

that are alive the previous month, to<br />

the total living rabbit population. <strong>The</strong><br />

series increases as follows: 1 the first<br />

month, 2 the second month, 3 the third<br />

month, 5 the fourth month, 8 the fifth<br />

month, 13 the sixth month, and so on.<br />

<strong>The</strong> golden mean may be represented<br />

algebraically by the proportion 1/$<br />

=

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