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.
 

Related to 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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