Differentiable multivariable functions

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Discussion Overview

The discussion revolves around the concept of differentiability for multivariable functions, with a focus on local linearity and the behavior of function values in relation to their distance from a point. Participants explore the implications of differentiability in both single and multivariable contexts, particularly questioning how the difference between function values can tend to zero faster than the distance to a point.

Discussion Character

  • Exploratory
  • Technical explanation
  • Conceptual clarification
  • Debate/contested

Main Points Raised

  • One participant defines differentiability for multivariable functions as requiring both the existence of partial derivatives and local linearity.
  • The same participant poses a question regarding the condition that the error term E(x) tends to zero faster than |x - a| as x approaches a, expressing confusion about this relationship.
  • Another participant suggests examining a specific function, f(x) = x^2, and asks how close f(x) is to f(0) as x takes on various values.
  • A different participant discusses the implication of a positive derivative, suggesting that the ratio of differences stabilizes, which raises questions about the rates at which f(x) and |x - a| approach zero.
  • One participant expresses a need for reasoning behind the assertion that |x - a| approaches zero faster than f(x) - L(x), indicating a discrepancy with their understanding.

Areas of Agreement / Disagreement

Participants express differing views on the relationship between the rates at which function values and distances approach zero. There is no consensus on the reasoning behind the assertion that |x - a| goes to zero faster than f(x) - L(x).

Contextual Notes

The discussion highlights the complexity of differentiability and local linearity, with participants grappling with the implications of definitions and the behavior of functions near specific points. There are unresolved assumptions regarding the nature of the functions being discussed and the conditions under which the claims hold.

hholzer
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Defining differentiability for multivariable functions we want not only
for the partial derivatives to exist but also local linearity.

Because my question is the same also for the single variable
case, I'll pose it with a single variable function.

In one variable we have that local linearity at a point is
such that E(x) = f(x) - L(x) tends to zero faster than
|x - a| as x -> a does.

My question is how can the difference between function values
tend to zero faster than the distance between |x-a|? My current,
and broken intuition, expects them to tend to zero at the same
time. Why is this not the case?
 
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Consider the function f(x)=x^2. How close to f(0)=0 is f(x), when x is 0.5? 0.1? 0.001?
 
if the derivative is f'(a)>0, then it means that the ratio (f(x)-f(x))/(x-a) "stabilizes" to f'(a) as x-->a.. so wouldn't you say this implies that f(x)-f(x) and x-a to go 0 "at the same rate"?
 
Tinyboss: I understand where you are going with that but why is that the case? What is the reasoning?

Quasar987: I would agree with that but my book is saying that |x-a| as x->a goes to zero faster than f(x) - L(x). Which is different than what you are saying.
 

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