Does the Pathwise Limit Imply the Multivariable Limit?

In summary, the statement is true for any path y=h(x) approaching (a,b). There exists a global delta such that || (x, y) - (a, b) || < \delta \implies |f(x, y) - L| < \epsilon for any y.
  • #1
kof9595995
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Let's say a two-variable function f(x,y), consider the limit at (x,y)=(a,b).
If for any path y=h(x) approaching (a,b), the single variable functions f(x,h(x)) have the same limit, can I say that the limit of f(x,y) at (a,b) exist(using epsilon-delta definition),and how to prove?
Thanks.
 
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  • #2
I am quite confident that the statement is true. You can probably even prove it. Let [itex]\epsilon > 0[/itex].
Then you know that for any path y = h(x) there exists a [itex]\delta = \delta_\epsilon(h)[/itex] such that
[tex]|| (x, y) - (a, b) || < \delta \implies |f(x, h(x)) - L| < \epsilon,[/tex]
where L is the supposed limit of f(x, y) at (a, b). You want to show that there exists a "global" [itex]\delta_\epsilon[/itex] such that
[tex]|| (x, y) - (a, b) || < \delta \implies |f(x, y) - L| < \epsilon[/tex]
for any y. On a nice neighbourhood of (a, b) you can always find a path h from (x, y) to (a, b) and you have the corresponding delta(h). So you could think of something like taking some minimum (infimum) of all those delta(h)'s. The real "challenge" of the proof, would then be to show that this infimum is non-zero (i.e. you can really find a delta strictly > 0 to satisfy the definition).
 
  • #3
\delta = \delta_\epsilon(h)
what does it mean? Functional?
 
  • #4
I meant to say that the delta that you need will depend both on epsilon and on the path. I.e. different paths may need different delta's.
So strictly speaking, yes, it is a functional (for fixed epsilon, it assigns to any given path a number), but you don't really need to view it that way. It was just to prevent confusion with "the" delta you use in the multi-variable limit.
 
  • #5
well, thanks a lot, I'll try
 

FAQ: Does the Pathwise Limit Imply the Multivariable Limit?

What is the definition of a limit for multivariable functions?

A limit for a multivariable function is the value that a function approaches as its input values approach a certain point or set of points. It represents the behavior of the function near a specific point or set of points.

How is the limit of a multivariable function computed?

The limit of a multivariable function can be computed using various methods, such as evaluating the function at points close to the desired point, using algebraic techniques, or graphing the function to observe its behavior near the point.

Can the limit of a multivariable function exist at a discontinuity?

No, the limit of a multivariable function cannot exist at a discontinuity. In order for a limit to exist, the function must approach the same value from both sides of the discontinuity. If this is not the case, then the limit does not exist.

What is the difference between a limit and a limit point for multivariable functions?

A limit is a specific value that a function approaches as the input values approach a certain point or set of points. A limit point, on the other hand, is a point where the function does not necessarily have a specific limit, but the function values get arbitrarily close to a certain value as the input values approach the point.

How does the concept of continuity relate to limits of multivariable functions?

Continuity is a necessary condition for a limit to exist at a point. If a function is continuous at a point, then the limit at that point exists. However, even if a function is not continuous at a point, the limit may still exist.

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