Are there alternative methods for proving multivariable limits?

AI Thread Summary
The discussion centers on the methods for proving the existence of multivariable limits, primarily focusing on the epsilon-delta definition. While this formal approach is foundational, it is noted that it may not always be necessary in practice. The squeeze theorem is mentioned as a useful alternative for certain cases. Additionally, properties of limits applicable to single-variable functions also extend to multivariable functions, allowing for simplifications in limit calculations. Overall, while the epsilon-delta method is essential, other techniques can often be employed effectively.
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For multivariable limits, the way my math books has taught me to prove they exist is to use the epsilon delta argument (for every epsilon > 0, there is a delta >0 ...). I have heard that for most cases you will almost never have to use this argument. Is this true? I know you can use the squeeze theorem on some cases but what about the others?

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I doubt that your books taught you that as "the" way to prove limits exist. That is, of course, the definition and so is always introduced first. But all of the "properties" of limits that are true for single variable limits are true for multivariable limits. For example, if your function f(x,y,z) is a fraction U(x,y,z)/V(x,y,z), the limit as (x,y,z) goes to (a,b,c) of U if L and the limit as (x,y,z) goes to (a,b,c) is M, not equal to 0, then the limit of f as (x,y,z) goes to (a,b,c) is L/M.
 
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