Is the distance function continuous?

  • Thread starter Design
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In summary, the task at hand is to prove that the distance function d: \mathbb{R}^n \times \mathbb{R}^n \to \mathbb{R}, defined as d(x,y) = |x-y|, is continuous. This can be done by showing that for any \epsilon > 0, there exists a \delta > 0 such that for any (x,y) satisfying |(x,y) - (a,b)| < \delta, we have |d(x,y) - d(a,b)| < \epsilon. This involves using the properties of absolute value and the triangle inequality to manipulate the expression |d(x,y) - d(a,b)| until it can be shown
  • #1
Design
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Homework Statement


Prove that the distance function d : Rn x Rn -> R, defined as d(x,y) = |x-y| is continous.

The Attempt at a Solution


|x-y| >= | |x| - |y| |
|x+y| <= | |x| + |y| |

Not sure what to do from here on

thank you
 
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  • #2
How would you attempt to prove any other function [tex]f: \mathbb{R}^n \times \mathbb{R}^n \to \mathbb{R}[/tex] is continuous? There's nothing special about the fact that it's the Euclidean distance function.
 
  • #3
So For all Epsilon>0 there exist a delta > 0
so |x-a| < delta and |y-b|<delta and | |x-y| - |a-b|| < epsilon

Where do i go from there?
 
  • #4
Design said:
So For all Epsilon>0 there exist a delta > 0
so |x-a| < delta and |y-b|<delta and | |x-y| - |a-b|| < epsilon

Where do i go from there?

This would be a correct statement of what you need to prove, except for one problem: You have the quantifiers wrong. The definition of continuity for a function [tex]f: \mathbb{R}^n \times \mathbb{R}^n \to \mathbb{R}[/tex] is: [tex]f[/tex] continuous at [tex](a, b)[/tex] if, for every [tex]\epsilon > 0[/tex] there exists [tex]\delta > 0[/tex] such that, for every [tex](x, y)[/tex] satisfying [tex]|(x, y) - (a, b)| < \delta[/tex], we have [tex]|f(x, y) - f(a, b)| < \epsilon[/tex]. Look carefully at the italicized part there and see how it differs from what you wrote.

You may have a different definition of continuity for functions of two variables which says: ... there exists [tex]\delta > 0[/tex] such that, for every [tex](x, y)[/tex] satisfying [tex]|x - a| < \delta[/tex] and [tex]|y - b| < \delta[/tex], we have ... This is equivalent to the standard definition of continuity, but that statement is a theorem which must be proved.
 

1. What does "distance is continuous" mean?

When we say that distance is continuous, it means that there are no breaks or interruptions in the measurement of distance. This means that we can measure any distance, no matter how small, and it will still be a valid measurement.

2. How is "distance is continuous" different from "distance is discrete"?

While continuous distance allows for measurement at any point, discrete distance only allows for measurement at certain intervals or points. Think of it like a ruler with marks only at every inch (discrete) compared to a ruler with a continuous scale (continuous).

3. Why is it important for distance to be continuous in science?

Continuous distance is important in science because it allows for more precise and accurate measurements. It also allows for the measurement of infinitesimally small distances, which is crucial in fields such as physics and astronomy.

4. Can distance ever be discontinuous?

In theory, distance can be discontinuous if we were to measure it at a finite level. However, in practical applications, we use continuous distance due to its precision and accuracy.

5. How does the concept of "distance is continuous" apply to real-life situations?

In real-life situations, we use continuous distance in various applications such as navigation, engineering, and construction. It allows for the accurate measurement of distances, whether it be for building structures or determining travel routes.

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