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Vectors
Vector mathematics is much
more recent than calculus . . . and definitely more subtle. Vector
mathematics was worked out in the end of the 19th century; calculus comes
from the 17th.
The most elementary teaching
defines a vector as "a magnitude with a direction." It might be.
But it might not. In a more complete treatment, direction is often
not relevant. The integral,
ò S(l)
D(l) dl.
is the "scalar-product"
of the two vectors S(l)
and D(l).
The infinity of values of S and D are the "components," of the vectors,
and the scalar-product is the sum of the products of the components.
Direction is not an issue. The components of color are not spatial
in the way velocity or acceleration is spatial.
This is a good way to approach
the concept of dimensionality that should sidestep the misuses often made
in support of pseudoscience. Consider the meaning of dimensionality
of color perception. The space needed to order the paint chips is
relatively easy to comprehend. As is the influence of evolution in
determining that dimensionality. Cameras used for satellite surveys
often use five, ten, or more different wavelength sensitivities.
The "color" information has as many dimensions as the cameras have different
kinds of sensors. And a spectroscope has infinite dimensions, one
for each value of wavelength it measures.
And the mathematics needed
to process the numbers is vector theory.
Where
might this be leading?
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