In recent years, it has become fashionable to divide mathematics into
three general areas- "pure" mathematics, "applied" mathematics, and "applicable" mathematics.
"Pure" mathematics is mathematics that is done for the sake of the mathematics itself- it does
not depend upon whether or not that mathematics
can, at some later time, be applied to a non-mathematical problem. "Applied" mathematics refers to applying mathematics to some non-mathematical problem. "Applicable mathematics" refers to mathematics that does involve non-mathematical applications but is being done specifically to give techniques that
can, immediately, be applied to non-mathematcal applications.
Notice that I am saying that whether or not a mathematical theory
can, at some future day, can be applied to some non-mathematical problem does
not affect it being "pure" mathematics. Also, notice my reference to "non-mathematical" applications. In Norbert Wiener's classic "The Fourier Transform and Certain of its Applications" the "applications" are only to mathematics.
Finally, I must say that pivoxa15's statement,
One clear reason for me why I think pure maths is superior (to put it succinently and bluntely) to applied maths is the concentration one must exert when doing pure maths sometimes to the extent of headache. However with applied maths, it's sometimes just a 'trick' one needs to use or just trying different things. So there is much more an element of deep thinking in pure maths.
is just silly. That is not a "clear reason", it is a meaningless reason. It says that "pure" mathematics is superior to "applied" mathematics because
some problems in pure mathematics are hard and
some problems in applied mathematics are easy!
Some problems in pure mathematics are very easy and
some problems in applied mathematics are very difficult. I rather suspect that the "multi-body" problem requires as deep thinking as any "pure" mathematics problem.