Proving ||L + M|| < ||L|| + ||M|| for Linear Transformations L, M

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Homework Help Overview

The discussion revolves around proving the inequality ||L + M|| < ||L|| + ||M|| for linear transformations L and M from vector space V to W, where the norm is defined as ||L|| = sup{|L(v)|: v in V, |v| <= 1}. Participants explore the implications of this definition and the properties of linear transformations.

Discussion Character

  • Exploratory, Mathematical reasoning, Assumption checking

Approaches and Questions Raised

  • Participants discuss the relationship between the norms of L, M, and L + M, questioning whether the supremum for L + M can be derived from those of L and M. There is consideration of using properties of linearity and the definition of the supremum in their reasoning.

Discussion Status

Some participants have provided insights into the relationship between the norms, suggesting that by selecting a vector v with ||v|| <= 1, one can explore the inequality. There is an acknowledgment of the reasoning process, with some expressing uncertainty about their conclusions.

Contextual Notes

Participants express concerns about the complexity of the norm and the implications of the linear transformations, indicating a need for clarity on definitions and properties involved in the problem.

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Homework Statement



for L, M: V -> W, L, M, linear let||L|| = sup{|L(v)|: v in V, |v| <= 1}

show ||L + M|| < ||L|| + ||M||

Homework Equations


The Attempt at a Solution



so is it true that if |L(x) + M(x)| defines a sup for L + M (x for which |L(x) + M(x)| is the sup), then it also defines a sup for L and sup for M, as L and M are both defined on V? I am getting caught up on this and I am thinking maybe there's a simpler way, i.e., either defining sets and using the standard results for sup on sets, or to exploit the linearity in a clever way

think I am overlooking something simple
 
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Pick a vector [tex]\mathbf v[/tex] such that [tex]\|\mathbf v \| \le 1[/tex].
Then what can you do with this?

[tex] |L(\mathbf v) + M(\mathbf v)| \le |L(\mathbf v)| + |M(\mathbf v)|[/tex]

(think about the given norm and the r.h.s. first, then think again about the definition of this norm and the l.h.s. remember that [tex]\mathbf v[/tex] is arbitrary )
 
suppose we have v satisfying the conditions. then |L(v) + M(v)| <= |L(v)| + |M(v)| <= ||L|| + ||M|| so sup(|L(v) + M(v)|) = ||L + M|| <= ||L|| + ||M||.
 
j0k3R_ said:
suppose we have v satisfying the conditions. then |L(v) + M(v)| <= |L(v)| + |M(v)| <= ||L|| + ||M|| so sup(|L(v) + M(v)|) = ||L + M|| <= ||L|| + ||M||.

BINGO!

One minor quibble - you would usually see your final line written in this order:

[tex] ||L + M || = \sup_{||\mathbf v || =1}|(L+M)\mathbf v| \le ||L|| + ||M||[/tex]
 
i got mthis solution in few second but am spending several hours thinking about it

but i do not have confidence i am thinking "this is silly something i did wrong, this norm can be complex structure etc" thinking about something extra etc.etc

okay thanks for this very much :)

oof
 

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