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Mathematical Methods for Physicists: A concise introduction - Site Map

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DUAL VECTORS AND DUAL SPACES<br />

or<br />

jhUjWij jUjjWj;<br />

which is the Cauchy±Schwarz inequality.<br />

From the Cauchy±Schwarz inequality follows another important inequality,<br />

known as the triangle inequality,<br />

jU ‡ W<br />

j jUj‡ jWj: …5:14†<br />

The proof of this is very straight<strong>for</strong>ward. For any pair of vectors, we have<br />

jU ‡ W<br />

j 2ˆ hU ‡ W<br />

from which it follows that<br />

jU ‡ Wi ˆ jU<br />

jU ‡ W<br />

jU<br />

jU<br />

j 2 ‡ jW<br />

j 2 ‡ jW<br />

j 2 ‡ jW<br />

j 2 ‡ hU<br />

j jUj‡ jWj:<br />

jWi ‡ hWjUi<br />

j 2 ‡ 2jhUjWij<br />

j 2 ‡ 2jU<br />

jjW<br />

j… jUj 2 ‡ jWj 2 †<br />

If V denotes the vector space of real continuous functions on the interval<br />

a x b, and f and g are any real continuous functions, then the following is<br />

an inner product on V:<br />

hf<br />

jgi ˆ<br />

Z b<br />

a<br />

f …x†g…x†dx:<br />

The Cauchy±Schwarz inequality now gives<br />

Z b<br />

2 Z b<br />

f …x†g…x†dx f 2 …x†dx<br />

or in Dirac notation<br />

a<br />

jhf<br />

jgij 2 jf<br />

j 2 jgj 2 :<br />

a<br />

Z b<br />

a<br />

g 2 …x†dx<br />

Dual vectors and dual spaces<br />

We begin with a technical point regarding the inner product hujvi. If we set<br />

jvi ˆjwi‡jzi;<br />

then<br />

hujvi ˆhujwi‡hujzi<br />

is a linear function of and . However, if we set<br />

jui ˆjwi‡jzi;<br />

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