Proving the Measure Zero Property of Graphs: A Simplified Approach

In summary: The Attempt at a Solution starts with the assumption that f is uniformly continuous on a compact set. This means that there exists a delta > 0 such that |x-y|< delta implies |f(x) - f(y)| < epsilon for every x and y in the range [0,1]. The Rectangles that cover the range [0,1] are then drawn using delta as the size and the area is multiplied by the number of rectangles.
  • #1
varygoode
45
0

Homework Statement



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Homework Equations



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The Attempt at a Solution



I'm pretty clueless as to what's going on here. If someone can just please lead me in the right direction, I would be quite grateful.
 
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  • #2
Start with a really simple case. Take Q=[0,1] in R. Take f(x)=x. Then the 'graph' is the diagonal of the square [0,1]x[0,1] in R^2. Can you show that graph has zero measure in R^2? How would you modify that argument to handle the general case? Hint: f is in fact uniformly continuous since the domain is compact.
 
  • #3
I think I can easily find countably many rectangles to cover the diagonal you are talking about. Something like if I take all the intervals on the line, all of length 1 let's say, then I can cover the interval by n squares with height epsilon/n. Then if I take the union of them, I'll get the volume is less than epsilon in summation.

But how do I generalize this?
 
  • #4
That's not super clear, but ok. So now instead of f(x)=x, take f(x) to be any continuous function. Do you believe f(x) is uniformly continuous? Can you prove it? If so then just recite the definition of uniform continuity. For every epsilon>0 there exists a delta>0 such that... Given that how many rectangles do you need to cover [0,1]? What's the area of each rectangle? What's the total area? Now let epsilon approach 0.
 
  • #5
It's uniformly continuous since it is continuous on a compact set, right?

So for every epsilon > 0 there exists delta > 0 s.t. |x-y|< delta implies |f(x) - f(y)| < epsilon. I've got that I think.

But I need something else to connect that and the rectangles. I'm horrible at picturing things, so that won't help. I'm just not sure how to define the rectangles in order to ensure they cover G(f). I simply don't see it.

What is the connection?
 
  • #6
Draw rectangles that are delta in x by epsilon in y in size. How many do you need to cover the range of x in [0,1]? Multiply that by the area of each one. You are right on the uniform thing.
 
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  • #7
Wait, why are we talking about [0,1]? Damn, I'm completely lost here.

Can you give me this explanation in some mathematically explicit terms? I'm having trouble following what's going on here.
 
  • #8
I am trying to get you to figure out how to solve an less complicated version of the problem so the notational details don't get in the way of understanding how the proof works. If you can do the problem for the case f:[0,1]->R, I think you can figure out how to generalize it to f:Q->R.
 

FAQ: Proving the Measure Zero Property of Graphs: A Simplified Approach

What is the definition of a graph having measure zero?

A graph has measure zero if its area under the curve is equal to zero when measured using the appropriate mathematical concept of measure.

How does a graph having measure zero differ from a graph having positive measure?

A graph having measure zero has no area under the curve, while a graph having positive measure has a non-zero area under the curve. This means that a graph with measure zero has no "filled-in" space, while a graph with positive measure has some filled-in space.

Can a graph with measure zero still be considered a function?

Yes, a graph with measure zero can still be considered a function. Measure zero only refers to the area under the curve, not the function itself. As long as the graph satisfies the definition of a function, it can be considered a function regardless of its measure.

How can we determine if a graph has measure zero?

To determine if a graph has measure zero, we need to use mathematical concepts of measure, such as Lebesgue measure. This involves breaking down the graph into smaller pieces and calculating their individual areas, and then taking the limit as the size of the pieces approaches zero. If the resulting area is equal to zero, then the graph has measure zero.

What is the significance of a graph having measure zero?

A graph having measure zero may be considered "small" or "negligible" in some sense, as it has no area under the curve. This can be useful in certain mathematical and scientific applications, such as in the study of fractals or in integration theory. Additionally, a graph with measure zero can help us better understand the concept of continuity in mathematics.

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