Are there alternative methods for proving multivariable limits?

In summary, the way to prove multivariable limits exist is typically through the epsilon delta argument, although there are other methods such as using the squeeze theorem. However, all the properties of single variable limits also hold for multivariable limits. This includes the property that if a multivariable function can be written as a fraction of two functions, the limit of the fraction is equal to the limit of the numerator divided by the limit of the denominator.
  • #1
biggins
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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?

-hamilton
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  • #2
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.
 
  • #3


The epsilon-delta argument is a common method used to prove the existence of multivariable limits, but it is not the only method. In fact, for many cases, it may not be necessary to use this argument at all. The squeeze theorem, as you mentioned, can also be used to prove the existence of multivariable limits, as well as other techniques such as L'Hopital's rule or direct substitution.

It is important to understand the concept of multivariable limits and the different methods that can be used to prove their existence. While the epsilon-delta argument may be the most commonly taught method, it is not always the most efficient or necessary approach. It is always a good idea to explore different techniques and choose the one that best fits the problem at hand.

In summary, while the epsilon-delta argument is a useful tool for proving the existence of multivariable limits, it is not always necessary to use it. Other methods such as the squeeze theorem and direct substitution can also be effective in certain cases. It is important to have a good understanding of all these techniques in order to approach multivariable limits problems effectively.
 

1. What is a multivariable limit?

A multivariable limit is a mathematical concept that describes the behavior of a function as it approaches a certain point in a multi-dimensional space. It is used to determine the value of a function at a specific point, as well as to analyze the continuity and differentiability of the function.

2. How is a multivariable limit different from a single variable limit?

A single variable limit only considers the behavior of a function as it approaches a point on a single axis, while a multivariable limit takes into account the behavior of a function as it approaches a point in a multi-dimensional space. This allows for a more comprehensive understanding of the behavior of a function.

3. What are the properties of multivariable limits?

The properties of multivariable limits include the existence and uniqueness of the limit, the limit laws, and the Squeeze Theorem. These properties allow for the evaluation and manipulation of multivariable limits in a similar manner as single variable limits.

4. How do you calculate a multivariable limit?

To calculate a multivariable limit, you must first determine the limit expression, which is the function being evaluated at a specific point. Then, you can use various techniques such as substitution, algebraic manipulation, and properties of limits to simplify the expression and evaluate the limit.

5. What real-world applications use multivariable limits?

Multivariable limits have many real-world applications, including in physics, engineering, and economics. For example, they are used to analyze the behavior of a dynamic system, such as the movement of a particle in three-dimensional space, or to optimize a function with multiple variables, such as a production process in economics.

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