Bounded Operators: Linearity & Inequality

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    Bounded Operators
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A linear operator T: X -> Y is defined as bounded if there exists a constant M > 0 such that the inequality ||Tv||Y ≤ M||v||X holds for all v in X. However, this inequality does not guarantee that T is linear, as illustrated by the example of the sine function, which is bounded but not linear. To establish that an operator is a bounded linear operator from X to Y, one must demonstrate the inequality, prove linearity, and confirm the mapping from X to Y. In finite dimensions, linearity implies boundedness, while boundedness is particularly important in infinite-dimensional vector spaces. Understanding these distinctions clarifies the relationship between boundedness and linearity in operator theory.
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a linear operator T: X -> Y is bounded if there exists M>0 such that:

ll Tv llY \leq M*ll v llX for all v in X

conversely, if i know this inequality is true, is it always true that T: X ->Y and is linear?
 
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No, if this inequality is true, then your function is not necessarily linear. For example:

|\sin(x)|\leq |x|

But the sine function is not linear...

Was this what you meant?
 
I think that it is automatically continuous. Is that what you wanted instead? As noted, this clearly doesn't imply linearity.
 
Jamma said:
I think that it is automatically continuous. Is that what you wanted instead? As noted, this clearly doesn't imply linearity.

i see, yes. so in general, to show that something is a bounded linear operator from X to Y, you need to show the inequality, prove linearity and show that its a mapping from X to Y?
 
mathplease said:
i see, yes. so in general, to show that something is a bounded linear operator from X to Y, you need to show the inequality, prove linearity and show that its a mapping from X to Y?

Yes, these are the things you need to show!
 
micromass said:
Yes, these are the things you need to show!

haha, thanks guys. much clearer now.
 
Note that linearity implies boundedness over finite dimensions- the linear maps are just the matrices. You only really need to take the boundedness into account when you are working over infinite-dimensional vector spaces.
 
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