Why does the Cauchy-Schwarz Inequality even have a name? When I came across the Cauchy-Schwarz inequality the other day, I found it really weird that this was its own thing, and it had lines upon lines of proof.
I've always thought the geometric definition of dot multiplication: 
$$|{\bf a }||{\bf b }|\cos \theta$$ is equivalent to the other, algebraic definition: $$a_1\cdot b_1+a_2\cdot b_2+\cdots+a_n\cdot b_n$$
And since the inequality is directly implied by the geometric definition (the fact that $\cos(\theta)$ is $1$ only when $\bf a$ and $\bf b$ are collinear), then shouldn't the Cauchy-Schwarz inequality be the world's most obvious and almost-no-proof-needed thing?
Can someone correct me on where my thought process went wrong?
 A: The Cauchy-Schwarz inequality can be stated and proven as a more general algebraic result (i.e. independent of vector spaces) which can then be applied to the components of vectors in inner product spaces.
It says that given two finite sequences of $n$ numbers $(a_i)_{i=1, n}$ and $(b_i)_{i=1, n}$ then $|\sum_{i=1,n} a_i.b_i| \le (\sum_{i=1,n} |a_i|^2)^{1/2}.(\sum_{i=1,n} |b_i|^2)^{1/2}$
See here https://www.math.ucdavis.edu/~hunter/intro_analysis_pdf/ch13.pdf (page reference number.293) for a proof for real numbers which is very easily generalised to complex numbers.
A: *

*The inequality is ubiquitous, so some name is needed.

*As there is no cosine in the statement of the inequality, it cannot be called "cosine inequality" or anything like that.

*The geometric interpretation with cosines only works for finite-dimensional real Euclidean space, but the inequality holds and is used more generally than that.  That is Schwarz' contribution.

*Schwarz founded the field of functional analysis (infinite-dimensional metrized linear algebra) with his proof of the inequality.  That is important enough to warrant a name.  In terms of consequences per line of proof it is one of the greatest arguments of all time.

*The Schwarz proof was part of the historical realization that Euclidean geometry, with its mysterious angle measure that seems to depend on notions of arc-length from calculus, is the theory of a vector space equipped with a quadratic form.  That is a major shift in viewpoint. 

*Stating the inequality in terms of cosines assumes that the inner product restricts to the standard Euclidean one on the 2 (or fewer) dimensional subspace spanned by the two vectors, and that you have proved the inequality for holds for standard Euclidean space of 2 dimensions or less.  How do you know those things are correct without a much longer argument? That argument will, probably, include somewhere a proof of the Cauchy-Schwarz inequality, maybe written for 2-dimensions but working for the whole $n$-dimensional space, so it might as well be stated as a direct proof for $n$ dimensions.  Which is what Cauchy and Schwarz did.
A: Cauchy-Schwarz is not just that. The result that you stated is just a special case of Cauchy-Schwarz in Euclidean spaces. But it's still valid in any inner product space, equipped with any inner product. The proof is still easy though, but nobody said that the proof had to be long and difficult to give it a name. The fact is that Cauchy-Schwarz inequality is very useful in many applications, from geometry to probability theory, and that's why it's worth having its own name.
A: Side note: it's actually the Cauchy-Schwarz-Bunyakovsky inequality, and don't let anyone tell you otherwise.
The problem with using the geometric definition is that you have to define what an angle is. Sure, in three dimensional space, you have pretty clear ideas about what an angle is, but what do you take as $\theta$ in your equation when $i$ and $j$ are $10$ dimensional vectors? Or infinitely-dimensional vectors? What if $i$ and $j$ are polynomials?
The Cauchy-Schwarz inequality tells you that anytime you have a vector space and an inner product defined on it, you can be sure that for any two vectors $u,v$ in your space, it is true that $\left|\langle u,v\rangle\right| \leq \|u\|\|v\|$.
Not all vector spaces are simple $\mathbb R^n$ businesses, either. You have the vector space of all continuous functions on $[0,1]$, for example. You can define the inner product as
$$\langle f,g\rangle=\int_0^1 f(x)g(x)dx$$
and use Cauchy-Schwarz to prove that for any pair $f,g$, you have
$$\left|\int_{0}^1f(x)g(x)dx\right| \leq \sqrt{\int_0^1 f^2(x)dx\int_0^1g^2(x)dx}$$
which is not a trivial inequality.
A: In short, it deserves a name, because it is important enough  to devote a full book to this inequality: The Cauchy-Schwarz Master Class. An Introduction to the Art of Mathematical Inequalities, 2004, J. M. Steele. 
First, and historically, the inequality progressively emerged in three bodies of  works, one involving finite sums, the others with integral formulas, in one and two dimensions, where the notion of cosine might  be less evident (back then). 
On page 10 of this book, a glimpse of the story:

Augustin-Louis Cauchy (1789–1857) published his famous inequality in
  1821 in the second of two notes on the theory of inequalities that
  formed the final part of his book Cours d’Analyse Algébrique
This bound [in the form of integrals] first appeared in print in a Mémoire by Victor Yacovlevich
  Bunyakovsky which was published by the Imperial Academy of Sciences of
  St. Petersburg in 1859.
In particular, it does not seem to have been known in Göttingen in
  1885 when Hermann Amandus Schwarz (1843–1921) was engaged in his
  fundamental work on the theory of minimal surfaces [with a] need for a
  two-dimensional integral analog of Cauchy’s inequality.

Often, objects are named afterward, as a recognition of the previous works.
I have discovered the book recently, and I believe it deserves attention, because of the many implications of this inequality, interesting tricks and subtle reasoning. For instance, the book offers an inductive proof in finite dimensions, which he deems novel. There are a few books on "inequalities", not so many on only one of them, especially when considered basic. Because this inequality is paradigmatic. The text:

is designed to coach readers toward mastery of the most fundamental
  mathematical inequalities.

Cauchy-Bunyakovsky-Schwarz is used in a  systematic way to open to the geometry of squares, convexity, the  power means ladder, majorization, Schur
convexity, exponential sums, and the inequalities of Hölder, Hilbert, and
Hardy...
A: Flip your argument around. The Cauchy-Schwarz inequality makes thinking about angles seem outmodish, vestigial, obsolete. You don't need protractors to do geometric analysis anymore. You just need algebra: just one quadratic inequality. So much of what your proof using $\cos \theta$ has been doing only requires a simple algebraic inequality, and neither $\cos$ nor $\theta$.
Why algebra is important is out of scope to this answer.
