Cauchy-Schwarz Inequality - Duistermaat and Kolk, CH. 1, page 4 .... ....

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The forum discussion centers on the proof of the Cauchy-Schwarz Inequality as presented in "Multidimensional Real Analysis I: Differentiation" by J. J. Duistermaat and J. A. C. Kolk. The key focus is on demonstrating the orthogonality of two vectors derived from the inner product decomposition. The solution provided involves using the bilinearity property of the inner product to show that the inner product of the two vectors equals zero, confirming their orthogonality. This approach effectively clarifies the proof's requirements and resolves the user's query.

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I am reading "Multidimensional Real Analysis I: Differentiation by J. J. Duistermaat and J. A. C. Kolk ...

I am focused on Chapter 1: Continuity ... ...

I need help with an aspect of the proof of the Cauchy-Schwarz Inequality ...

Duistermaat and Kolk"s proof of the Cauchy-Schwarz Inequality reads as follows:View attachment 7639In the above proof we read the following:

" ... ... Now$$x = \frac{ \langle x, y \rangle }{ \mid \mid y \mid \mid^2} y + ( x - \frac{ \langle x, y \rangle }{ \mid \mid y \mid \mid^2} y ) $$is a decomposition into two mutually orthogonal vectors ... ... "I have tried to demonstrate that the two vectors $$\frac{ \langle x, y \rangle }{ \mid \mid y \mid \mid^2} y$$ and $$( x - \frac{ \langle x, y \rangle }{ \mid \mid y \mid \mid^2} y )$$ are in fact orthogonal by showing that the inner product of these two vectors is zero ... but I failed to make any meaningful progress ...Can someone please demonstrate that these two vectors are in fact orthogonal ...
Help will be much appreciated ...

Peter
 
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Hi Peter,

Set $a=\langle x, y\rangle /\|y\|^{2}$. You want to use the bilinearity property of the (real) inner product to get

$\langle ay, x-ay\rangle = a\langle x, y\rangle - a^{2}\langle y, y\rangle = \langle x, y\rangle ^{2}/\|y\|^{2}-\langle x, y\rangle ^{2}/\|y\|^{2}=0.$

Let me know if anything is unclear.
 

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