mruncleramos said:
Just for contextualization. I just finished Calculus on Manifolds, and I'm coming back to some of the problems that i thought could have had better solutions to. Problem 6 of chapter one asks you to prove the schwarz ineqaulity for integrals. Spivak inserts a cryptic (in my opinion) hint: Consider seperately the cases $\int_{a}^{b} f(x) - \lambda g(x) dx$ = 0 and $\int_{a}^{b} f(x) - \lambda g(x) dx$ > 0
I suppose this is supposed to include all possibilites of f and g. So far, I've used the latter inequality to derive part of the schwarz inequality, but i cannot find a use for the former. Oh yeah. Excuse me for being picky, but i have to figure out what spivak meant by this hint. I don't want to use riemann sums.
I have the book as well. The LateX seems somewhat mixed up, so I`ll just copy the problem:
Spivak asks to prove that:
\left| \int_a^b f \cdot g \right| \leq (\int_a^b f^2)^{\frac{1}{2}}\cdot (\int_a^b g^2)^{\frac{1}{2}}
for integrable functions f,g on [a,b],
and hints to consider seperately the cases:
0 = \int_a^b (f-\lambda g)^2
for some \lambda \in \mathbb{R} and
0 < \int_a^b (f-\lambda g)^2
for all \lambda \in \mathbb{R}.
This covers all cases, since for any two integrable functions f,g on [a,b] there either exists a \lambda such that the integral is zero, or for all \lambda the integral is not equal to zero. (The proof that is must be greater than zero is actually the point of this thread).
You cannot mimic Theorem 1-1 (2)exactly, since he uses the argument that x and y are either linearly dependent or not and uses the fact that if they are linearly independent, then \lambda y-x \neq 0 for all \lambda and so 0<|\lambda y-x|^2 for all \lambda (by theorem 1-1 (1)).
You cannot use this argument for the integral, because even if f and g are linearly independent, it is not necessarily the case that:
\int_a^b (f-\lambda g)^2 > 0 for all \lambda. (||f||=(\int_a^b f^2)^{\frac{1}{2}} does not constitute a norm on the given space).