Proving Triangle Inequality for Metric Space with Modified Distance Function

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In summary, the conversation discusses how to show that a metric space X with metric d is also a metric space when the distance is measured by d' = d/(1+d). The conversation focuses on demonstrating the triangle inequality and suggests using the function f(t) = \frac{1}{1+t} to do so. The conversation ends with the conclusion that this approach should work.
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insynC
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Homework Statement



Let X be a metric space with metric d. Show that the space X, where distance is measured by d' = d/(1+d), is also a metric space.

Homework Equations



Three requirements of a distance function for X to be a metric space:
1. d(x,y) = 0 <=> x=y
2. d(y,x) = d(x,y)
3. d(x,z) <= d(x,y) + d(y,z)

The Attempt at a Solution



It's demonstrating the triangle inequality (3. above) that has me stumped.

My starting point is to try and use (1) d(x,z) <= d(x,y) + d(y,z) to demonstrate (2) d'(x,z) <= d'(x,y) + d'(y,z).

I tried manipulating the RHS of (2) to get a common denominator and then tried to 'bash' it out, without any success. I then tried to manipulate the inequalities, but I can't get (2) whilst maintaining <= as opposed to simply <.

The problem wasn't set as a difficult one, so I presume there is something simple that I can't seem to see.

Any help would be greatly appreciated!

Cheers
 
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  • #2
Hmmm your first approach should work (I remember it worked for me). Define [itex]f(t) = \frac{1}{1+t}.[/itex] You basically need to show [itex]f(a) + f(b) \geq f(c)[/itex] given [itex]a + b \geq c \geq 0.[/itex] Multiplying out the first inequality gives
[tex]a + ac + ab + abc + b + ba + bc + abc \geq c + ca + cb + abc,[/tex]
and yeah this should be true unless I made a mistake somewhere.
 
  • #3
Thanks for the help, I think that sorts it.
 

FAQ: Proving Triangle Inequality for Metric Space with Modified Distance Function

How is the triangle inequality for metric space proven?

The triangle inequality for metric space can be proven using the modified distance function, which takes into account the modified distances between points in the space. This function is defined as d'(x,y) = d(x,y) + c, where c is a constant and d(x,y) is the original distance function.

What is the significance of the modified distance function in proving the triangle inequality?

The modified distance function allows for the incorporation of a constant value, c, which can help to simplify the proof of the triangle inequality. It also allows for the consideration of different types of distances, such as Euclidean or Manhattan, in the proof.

Can the triangle inequality still hold true for a metric space with a modified distance function?

Yes, the triangle inequality can still hold true for a metric space with a modified distance function. The modified distance function is simply a variation of the original distance function, and the triangle inequality is a fundamental property of metric spaces that remains valid regardless of the specific distance function used.

Is the proof of the triangle inequality with a modified distance function different from the standard proof?

The proof of the triangle inequality with a modified distance function may have slight variations from the standard proof, depending on the specific distance function used. However, the basic principles and logic behind the proof remain the same.

What are some applications of proving the triangle inequality for metric space with a modified distance function?

Proving the triangle inequality for metric space with a modified distance function has various applications in mathematics and computer science. It can be used in optimization problems, graph theory, and even in the design and analysis of algorithms. It also has implications in fields such as physics, economics, and biology.

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