Understanding the Hyperbolic Distance Formula: Deriving Log QA.PB/QB.PA

In summary, the conversation discussed the concept of defining distance between two points in hyperbolic space using a conformal representation bounded by a circle. The formula for this distance involves the natural logarithm and Euclidean distances between points on an arc or Euclidean circle. The conversation also asked for a definition of Euclidean distance and how to derive the formula, referencing the group of fractional linear transformations.
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Kevin_Axion
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I'm currently reading through Roger Penrose's book The Road to Reality and in his Hyperbolic Geometry discussion he introduces the concept of how to define the distance between two points. He defines a Conformal Representation of a Hyperbolic Space bounded by a circle and then he states there are two points A and B (within the hyperbolic space) and there is a hyperbolic line (an arc/Euclidean Circle) That intersects A and B and meets orthogonally to the bounding circle at points P and Q. Where QA etc are the Euclidean distances. The distance between A and B is thus defined by the formula,
log QA.PB/QB.PAWhere log is the natural logarithm and '.' is multiplication, assumingly.Firstly, can you please define a Euclidean distance and secondly can you help me understand how to derive this formula?

Thanks
 
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  • #2
Kevin_Axion said:
Firstly, can you please define a Euclidean distance and secondly can you help me understand how to derive this formula?
Thanks

On the plane Euclidean distance between points [tex](x,y)[/tex] and [tex](x',y')[/tex] is
[tex]\sqrt{(x-x')^2+(y-y')^2}[/tex]

Or, if you set [tex]z=x+iy[/tex] it is [tex]|z-z'|[/tex]

To derive this formula one has to know the assumptions. One possibility is to consder the group of fractional linear transformations of the form

[tex]z\mapsto\frac{az+b}{cz+d}[/tex]

with real a,b,c,d and [tex]\det (\{a,b;c,d\})\neq 0[/tex]. (search the net for [tex]PSL(2,R)[/tex]) These 'conformal' transformations map the (closed) unit disk into itself. Then seek a distance formula that is invariant under these transformations.
 
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Thanks.
 

FAQ: Understanding the Hyperbolic Distance Formula: Deriving Log QA.PB/QB.PA

1. What is the Hyperbolic Distance Formula?

The Hyperbolic Distance Formula is a mathematical equation used to calculate the distance between two points on a hyperbolic surface, such as a saddle shaped curve. It is an extension of the Pythagorean Theorem and takes into account the curvature of the surface.

2. How is the Hyperbolic Distance Formula different from the Euclidean Distance Formula?

The Hyperbolic Distance Formula is different from the Euclidean Distance Formula in that it accounts for the curvature of the surface, whereas the Euclidean formula assumes a flat surface. This makes the Hyperbolic Distance Formula more accurate for measuring distances on curved surfaces.

3. What are some real-world applications of the Hyperbolic Distance Formula?

The Hyperbolic Distance Formula has various applications in fields such as physics, engineering, and computer graphics. It is used to calculate distances on non-Euclidean surfaces, such as the Earth's surface, or in mapping out trajectories of objects moving in curved paths.

4. How is the Hyperbolic Distance Formula derived?

The Hyperbolic Distance Formula is derived from the hyperbolic trigonometric functions, specifically the hyperbolic cosine and hyperbolic sine. These functions are used to calculate distances on hyperbolic surfaces by taking into account the curvature of the surface.

5. Are there any limitations to using the Hyperbolic Distance Formula?

Like any mathematical formula, the Hyperbolic Distance Formula has its limitations. It is only applicable to hyperbolic surfaces and cannot be used on other types of surfaces, such as spheres or planes. Additionally, it assumes a constant curvature and may not be accurate for highly irregular surfaces.

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