Volume in n Dimensions: Understanding the Meaning of n=0

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SUMMARY

The volume of a sphere in n dimensions is mathematically represented by the formula V(n) = (Π^(n/2)) / Γ((n/2)+1). When n=0, the volume evaluates to 1, which can be interpreted as the Hausdorff 0-dimensional measure, corresponding to the count of points in a zero-dimensional space. This indicates that in zero dimensions, the concept of volume translates to the existence of a single point. Understanding this interpretation is crucial for grasping higher-dimensional geometry.

PREREQUISITES
  • Understanding of n-dimensional geometry
  • Familiarity with the Gamma function (Γ)
  • Knowledge of Hausdorff measures
  • Basic mathematical concepts of volume
NEXT STEPS
  • Research the properties of the Gamma function (Γ) in mathematical analysis
  • Explore the concept of Hausdorff measures in measure theory
  • Study the characteristics of n-spheres and their applications
  • Learn about dimensional analysis in mathematics and physics
USEFUL FOR

Mathematicians, physics students, and anyone interested in advanced geometry and dimensional analysis will benefit from this discussion.

Sheldon Cooper
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Hello,
Surfing across the internet, I learned that the volume of a sphere in n dimensions can be expressed by
V(n) = (Π^(n/2)) / Γ((n/2)+1),
where n is the number of dimensions we are considering
But if we consider n=0, then we get 1. So, how do we interpret this? I mean what does volume in zero dimensions mean?
Thanks in advance :smile:
 
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Sheldon Cooper said:
Hello,
Surfing across the internet, I learned that the volume of a sphere in n dimensions can be expressed by
V(n) = (Π^(n/2)) / Γ((n/2)+1),
where n is the number of dimensions we are considering
But if we consider n=0, then we get 1. So, how do we interpret this? I mean what does volume in zero dimensions mean?
Thanks in advance :smile:

I am not an expert in this topic. If you want a simple answer, you can read Wikipedia, n-sphere
https://en.m.wikipedia.org/wiki/N-sphere
 
Yes, this seems to be a matter of computing the Hausdorff 0-dimensional measure which coincides with the number of points. See the formula in the article quoted in the above post.
 

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