2024-09-01

755: For Nonzero Linear Map Between Normed Vectors Spaces, Image Norm Divided by Argument Norm Does Not Converge to 0 When Argument Norm Nears 0

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description/proof of that for nonzero linear map between normed vectors spaces, image norm divided by argument norm does not converge to 0 when argument norm nears 0

Topics


About: vectors space

The table of contents of this article


Starting Context



Target Context


  • The reader will have a description and a proof of the proposition that for any nonzero linear map between any normed vectors spaces, the image norm divided by the argument norm does not converge to 0 when the argument norm nears 0.

Orientation


There is a list of definitions discussed so far in this site.

There is a list of propositions discussed so far in this site.


Main Body


1: Structured Description


Here is the rules of Structured Description.

Entities:
V1: { the normed vectors spaces }
V2: { the normed vectors spaces }
f: :V1V2, { the linear maps }
//

Statements:
v0V1(f(v0)0)

f(v)/v does not converge to 0 when vV1 nears 0
//


2: Natural Language Description


For any normed vectors spaces, V1,V2, and any nonzero linear map, f:V1V2, f(v)/v does not converge to 0 when vV1 nears 0.


3: Proof


Whole Strategy: Step 1: choose any vector, v0V1, such that f(v0)0, take rv0 and make r approach 0, and see that it does not converge to 0.

Step 1:

As f is nonzero, there is a vector, v0V1, such that f(v0)0.

Let us take v=rv0. f(v)/v=f(rv0)/rv0=rf(v0)/rv0=|r|f(v0)/(|r|v0)=f(v0)/v00, which does not near 0 when rv0 nears 0. Of course, it may be 0 for a vector, v1V1, but it is not said to converge to 0 unless it nears 0 in any way in which v nears 0.


References


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