Verifying the metric space e = d / (1 + d)

In summary, to verify that (N,e) is a metric space, where e(a,b) = d(a,b) / (1 + d(a,b)), it is necessary to show that a <= b + c implies a / (1 + a) <= (b / (1 + b)) + (c / (1 + c)). This can be done by writing both sides of the inequality as fractions over (1 + a)(1 + b)(1 + c) and then working backwards from the assumed answer to show that the triangle inequality holds.
  • #1
pdonovan
17
0
I'm trying to verify that if (M,d) is a metric space, then (N,e) is a metric space where e(a,b) = d(a,b) / (1 + d(a,b)). Everything was easy to verify except the triangle inequality. All I need is to show that:

a <= b + c
implies
a / (1 + a) <= (b / (1 + b)) + (c / (1 + c)

Any help would be greatly appreciated, thank you!
 
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  • #2
hi pdonovan! :smile:

try writing everything as a fraction over (1 + a)(1 + b)(1 + c), and seeing what cancels :wink:
 
  • #3
Thank you for the tip, but I still haven't figured it out : /

I have
a<=b+c
-->
a/[(1+a)(1+b)(1+c)] <= (b+c)/[(1+a)(1+b)(1+c)]
-->
a/[(1+a)(1+b)(1+c)] <= b/[(1+a)(1+b)(1+c)] + c/[(1+a)(1+b)(1+c)]
 
  • #4
(just got up :zzz: …)

no, start at the answer, and work backwards! :rolleyes:
 
  • #5
like tiny-tim said, write down the triangle inequality for the new metric and assume it's true. then multiply both sides by (1+a)(1+b)(1+c) (since it's positive) and then "work backwards" as tiny-tim said. then see if you can reversely do all the steps from the opposite direction. if you can, (and you can), then you're done.
 

FAQ: Verifying the metric space e = d / (1 + d)

1. What is the significance of the metric space e = d / (1 + d)?

The metric space e = d / (1 + d) is a way to measure the distance between points in a given space using a metric called the Euclidean metric. It is commonly used in mathematics and physics to calculate distances and determine the relationships between points.

2. How is the metric space e = d / (1 + d) derived?

The metric space e = d / (1 + d) is derived from the Pythagorean theorem, which states that in a right triangle, the square of the length of the hypotenuse is equal to the sum of the squares of the other two sides. By applying this theorem to a two-dimensional Cartesian plane, we can derive the formula for the Euclidean metric.

3. What are some applications of the metric space e = d / (1 + d)?

The metric space e = d / (1 + d) has many applications in various fields such as physics, engineering, and computer science. It is used to calculate distances in navigation systems, determine the distance between two points on a map, and measure the similarity between objects in data analysis.

4. Can the metric space e = d / (1 + d) be used for non-Euclidean spaces?

No, the metric space e = d / (1 + d) is specifically designed for Euclidean spaces, which are characterized by flat, straight lines and angles. For non-Euclidean spaces, different metrics such as the Manhattan metric or the Chebyshev metric are used.

5. How does the metric space e = d / (1 + d) relate to the concept of distance in mathematics?

The metric space e = d / (1 + d) is a way to quantify the distance between two points in a space. It is based on the concept of distance, which is a fundamental concept in mathematics that describes the relationship between two points. The metric space e = d / (1 + d) provides a mathematical framework for measuring distance, making it a crucial tool in various mathematical and scientific applications.

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