Differentiating maps between vector spaces

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SUMMARY

This discussion focuses on the definition of maps between normed vector spaces, particularly the interpretation of the little o notation in the context of derivatives. The user expresses confusion regarding the continuity implied by the notation and its relationship to limits as vectors approach each other. They compare definitions from two sources: MIT's lecture notes and a chapter from the University of Illinois, questioning the equivalence of the definitions and the implications of the little o notation. The conclusion reached is that the definitions are indeed equivalent, and the little o notation describes behavior in limits as vectors converge.

PREREQUISITES
  • Understanding of normed vector spaces
  • Familiarity with derivative concepts in calculus
  • Knowledge of little o and big O notation in mathematical analysis
  • Basic comprehension of limits and continuity in mathematical functions
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  • Study the definition of maps between normed vector spaces in advanced calculus texts
  • Explore the implications of little o notation in mathematical analysis
  • Review the concept of continuity and limits in the context of vector functions
  • Examine the relationship between derivatives and linear approximations in vector spaces
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Mathematicians, students of advanced calculus, and anyone studying the properties of vector spaces and their mappings will benefit from this discussion.

modnarandom
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I'm trying to understand the definition of maps between vector spaces (in normed vector spaces) listed in the following link: http://ocw.mit.edu/courses/mathemat...anifolds-fall-2004/lecture-notes/lecture3.pdf

On the surface, this seems similar to what I expected from the definition of a derivative of a function R -> R. But when I looked at the definition for the small o notation, I got confused because I don't understand how the kind of continuity described implies that the LHS divided by ||x - x'|| goes to 0 as x approaches x'. Is this the same kind of o notation that is used when you talk about things like time complexity of algorithms? Even if it is, it seems kind of strange because you usually use this notation when the function argument gets very large.

On the other hand, p. 15 - 17 of http://www.math.uiuc.edu/~tyson/595chapter3.pdf seem to describe exactly what I was expecting from a generalization of the derivative for a map between vector spaces where it makes sense. I think the definition here should probably be equivalent to the link I posted above, but I think I'm probably missing something. Are the two definitions here equivalent and am I missing something about the o notation and whether it implies things grow more slowly? Are they even actual direct generalizations of the R -> R case?
 
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The little o is kind of the opposite of the big O notation. Where the big O means "on the order of" ... or ##F(n) = \mathcal{O}(n^2) \implies \exists C: F(n) \approx Cn^2##,
The little o can be defined as ##F(n) = o(n) \implies \lim F(n)/n = 0## or F(n) is dominated by n in the limit.
 
Oops! I forgot to mention that I initially interpreted o(||x - x'||) to be the kind of little o you mentioned. It's just that I don't know how it makes sense in the context of the definition of a derivative of a map between vector spaces.
 
It seems to me that the two sources are saying the same thing.
##\| f(x) - f(x') - L(x-x') \| = o(\|x-x'\|) ## means ## \lim \frac{\| f(x) - f(x') - L(x-x') \|}{\|x-x'\|} = 0 ##.
 
Ok, thanks! But doesn't your first post assume that you're considering the limit as n goes to infinity? Or is the definition something else? I guess I'm not sure how this definition follows from o being a function continuous at 0.
 
I suppose they are adjusting the definition to describe the behavior in the limit as x goes to x'. I agree that normally the little-o and big-O notations are used for large arguments, so perhaps it is implicit that there is a series x_n such that x_n goes to x as n goes to infinity or some business like that.
 

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