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Story So Far
In the first three weeks we have defined a dynamical system . It is a set of states
together with an iterator function/ rule of evolution
. We take an initial state/ seed point
and examine the orbit of
:
,
where the states are produced iteratively by the iterator function:
and
.
We developed the Logistic Model of Population Growth, and this comprises an important example of a dynamical system which we will examine in more depth a little later on.
We studied fixed points. These are states such that if an orbit of a point `hits’
then the orbit will remain fixed at
. Thus fixed points are points with the property that
.
So the fixed points of a function are points such that the output of the function equals the input. Note that when we graph functions, the
-axis comprises the inputs and the
-axis the outputs, and if we are looking for fixed points/ points such that output equals input we need to look for points such that
. This means that if we graph $latex $y=f(x)$ then the fixed points of
are the points on the graph of
that intersect
.
Similarly periodic points are states/ points such that if an orbit of a point `hits’
then the orbit will keep returning to
after, say
iterations of
; that is
:
We also noted that a period-2 point would also be period-6 for example:
Here is period-6 but the lowest period is two. We call this the prime period of
. Finally we proved some little theorems about periodicity.
Finding periodic points, say period-2 points means finding points such that if we apply the iterator function twice, then we get back to
:
.
Solving this equation is not necessarily that easy but we proved that if , then the fixed-point factor-theorem applies:
divides into
and this helps immensely.
Also we expect that Theorems 1 & 2 hold and we proved these.
Exercises
For future weeks I will try and organise these exercises a little better…
Test
The test will take place on February 20. Everything up to but not including section 3.4 in the typeset notes is examinable: we should have this covered this week or next.
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