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Nonlinear Control Sy.. - Free

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38 CHAPTER 2. MATHEMATICAL PRELIMINARIES<br />

Example 2.7 Consider again the vector space IRn. For each p, 1 < p < oo, the function<br />

lip, known as the p-norm in Rn, makes this space a normed vector space, where<br />

11<br />

In particular<br />

IlxiiP f (Ix1IP + ... + IxnIP)1/P<br />

Ilxlll<br />

IIxlI2<br />

def<br />

def<br />

Ix11<br />

+... Ixnl. (2.6)<br />

I21Iz+...+Ixnl2. (2.7)<br />

The 2-norm is the so-called Euclidean norm. Also, the oo-norm is defined as follows:<br />

IIxiI. dcf maxlx,I. (2.8)<br />

4<br />

By far the most commonly used of the p-norms in IRn is the 2-norm. Many of the theorems<br />

encountered throughout the book, as well as some of the properties of functions and<br />

sequences (such as continuity and convergence) depend only on the three defining properties<br />

of a norm, and not on the specific norm adopted. In these cases, to simplify notation, it<br />

is customary to drop the subscript p to indicate that the norm can be any p-norm. The<br />

distinction is somewhat superfluous in that all p-norms in 1R are equivalent in the sense<br />

that given any two norms II - IIa and II - IIb on ]Rn, there exist constants k1 and k2 such that<br />

(see exercise (2.6))<br />

ki llxlla 1. Then<br />

Ilyllq , dx, y E IRn. (2.9)<br />

llx + yIIP IIx1IP + IIyIIP , Vx, y E IRn. (2.10)

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