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Homework Statement
Does the Cauchy Schwarz inequality hold if we define the dot product of two vectors [itex]A,B \in V_n[/itex] by [itex]\sum_{k=1}^n |a_ib_i|[/itex]? If so, prove it.
Homework Equations
The Cauchy-Schwarz inequality: [itex](A\cdot B)^2 \leq (A\cdot A)(B\cdot B)[/itex]. Equality holds iff one of the vectors is a scalar multiple of the other.
The Attempt at a Solution
The result is trivial if either vector is the zero vector. Assume [itex]A,B\neq O[/itex].
Let [itex]A',B'\in V_n[/itex] s.t. [itex]a'_i = |a_i|[/itex] and [itex]b'_i = |b_i|[/itex] for each [itex]i=1,2,...,n[/itex]. Let [itex]\theta[/itex] be the angle between [itex]A'[/itex] and [itex]B'[/itex]. Notice that [itex]A\cdot B = A'\cdot B'[/itex], [itex]||A|| = ||A'||[/itex], [itex]||B|| = ||B'||[/itex], and [itex]A\cdot B > 0[/itex]. Then [tex]A\cdot B = ||A||\,||B||\,\cos\theta \implies A\cdot B = ||A||\,||B||\,|\cos\theta| \leq ||A||\,||B||[/tex] since [itex]0\leq |\cos\theta|\leq 1[/itex]. Then [itex](A\cdot B)^2 \leq ||A||^2||B||^2 = (A\cdot A)(B\cdot B)[/itex]. This proves the inequality.
We now show that equality holds iff [itex]B = kA[/itex] for some [itex]k\in\mathbb{R}[/itex].
([itex]\Longrightarrow[/itex]) We prove this direction by the contrapositive. If [itex]B\neq k A[/itex] for any [itex]k\in\mathbb{R}[/itex], then [itex]B' \neq |k| A'[/itex]. Hence [itex]\theta \neq \alpha \pi[/itex] for any [itex]\alpha \in \mathbb{Z}[/itex]. Thus [itex]0 < |\cos\theta| < 1[/itex] and therefore [itex]A\cdot B < ||A||\,||B||[/itex]. In other words, equality does not hold.
([itex]\Longleftarrow[/itex]) If [itex]A = kB[/itex] for some [itex]k\in\mathbb{R}[/itex], then [itex]B' = |k| A'[/itex]. Hence [itex]\theta = \alpha \pi[/itex] for some [itex]\alpha \in \mathbb{Z}[/itex]. Therefore [itex]\cos\theta = \pm 1[/itex]. Thus equality holds.
Does this look okay?
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