mathwonk said:
i am proving what you are taking for granted.
what, specifically, is taken for granted?
can not mathematicians, who are post-Newton and post-Leibniz, but who have never dealt with the concept of imaginary numbers, are they not capable of doing ordinary, homogeneous diff eqs such as
\frac{d^2 y}{dx^2} + y = 0
and getting the general solution
y = A \cos(x) + B \sin(x)
for undetermined
A and
B?
can they not apply 2 independent initial conditions to impose constraints on
A and
B so that they must take on particular values in order for the 2 initial conditions to be satisfied?
you don't need to go and use power series to do that. and, IMO, the power series method is a little uglier, and i don't see it as more rigorous. it's just another way to do it, given the
"assumptions" we learn from calculus.
now, when you apply it to solving Euler's formula
y(x) = e^{\mathrm{i} x} \ = \ ??
where you want explicit real and imaginary parts to y(x),
then we are taking some things "for granted". like i
2 = -1 and then otherwise, we treat i just like we have the real numbers where axioms like the commutative, associative, and distributive properties apply. does your proof prove those basic axioms? i don't think so, like mine, you are assuming the same axioms.
and, because we're treating i as some other general number (but with the specific property that i
2 = -1 ), we're saying that the results learned from calculus (like what the derivative of e
ax is), we are able to set up that diff eq and the initial conditions to derive Euler's formula.
wonk, you be the math prof, and i am just a Neanderthal electrical engineer (who does signal processing for a living and has some university teaching experience, too), but like the Dirac delta thing, here is another place where mathematicians and electrical engineers just might have different
valid ways of looking at it. i don't think, given what we learn in calculus and previous math courses, that the power series method of solving that particular diff eq is any more rigorous than using the known properties of the trig functions cos(.) and sin(.).