In
mathematics, 'hyperbolic coordinates' are a useful method of locating points in Quadrant I of the
Cartesian plane
:
.
Hyperbolic coordinates take values in
:
.
For
in
take
:
and
:
.
Sometimes the parameter
is called
hyperbolic angle and
the
geometric mean.
The inverse mapping is
:
.
This is a
continuous mapping, but not an
analytic function.
Quadrant model of hyperbolic geometry
The correspondence
:
affords the
hyperbolic geometry structure to ''Q'' that is erected on ''HP'' by
hyperbolic motions. The ''hyperbolic lines'' in ''Q'' are
rays from the origin or
petal-shaped
curves leaving and re-entering the origin. The left-right shift in ''HP'' corresponds to a "hyperbolic rotation" in ''Q''.
Statistical applications
★ Comparative study of population density in the quadrant begins with selecting a reference nation, region, or urban area whose population and area are taken as the point (1,1).
★ Analysis of the representation of regions in a democracy begins with selection of a standard for comparison, a particular represented group, whose magnitude and slate of representatives stands at (1,1) in the quadrant.
Economic applications
There are many natural applications of hyperbolic coordinates in
economics:
★ Analysis of currency
exchange rate fluctuation:
The unit currency sets
. The price currency corresponds to
. For
:
we find
, a positive hyperbolic angle. For a ''fluctuation'' take a new price
:
.
Then the change in ''u'' is:
:
.
Quantifying exchange rate fluctuation through hyperbolic angle provides an objective, symmetric, and consistent
measure. The quantity
is the length of the left-right shift in the hyperbolic motion view of the currency fluctuation.
★ Analysis of inflation or deflation of prices of a
basket of consumer goods.
★ Quantification of change in marketshare in
duopoly.
★ Corporate
stock splits versus stock buy-back.