How Is the Volume of a Sphere Calculated in Higher Dimensions?

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SUMMARY

The volume of a sphere in higher dimensions is calculated using the formula V_n(r) = r^n * V_n(1), where B_n(r) represents the sphere of radius r in R^n. The decomposition of B_n(1) into intervals I and J(x) along with B_{n-2}(x,y) facilitates the application of Fubini's theorem. The volume V_n(1) can be expressed in terms of V_{n-2}(1) using polar coordinates, leading to the integral V_n(1) = V_{n-2}(1) * ∫_{0}^{2π} ∫_{0}^{1} r dr dθ. The challenge remains in deriving a closed form for V_n(1) solely in terms of n.

PREREQUISITES
  • Understanding of multivariable calculus and integration techniques
  • Familiarity with polar coordinates in higher dimensions
  • Knowledge of Fubini's theorem for iterated integrals
  • Basic concepts of geometric volumes in R^n
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  • Research the derivation of closed forms for volumes of spheres in higher dimensions
  • Study the application of Fubini's theorem in multivariable integrals
  • Explore the relationship between spherical coordinates and Cartesian coordinates in R^n
  • Investigate the properties of integrals involving trigonometric functions in polar coordinates
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Mathematicians, physics students, and anyone interested in advanced geometry and calculus, particularly those studying volumes in higher-dimensional spaces.

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let [tex]B_n(r) = \{x \epsilon R^n| |x| \le r\}[/tex] be the sphere around the origin of radius r in [tex]R^n.[/tex] let [tex]V_n(r) = \int_{B_n(r)} dV[/tex] be the volume of [tex]B_n(r)[/tex].

a)show that [tex]V_n(r) = r^n * V_n(1)[/tex]
b)write [tex]B_n(1)[/tex] as [tex]I*J(x) * B_{n-2}(x,y),[/tex] where I is a fixed interval for the variable x, J an interval for y dependent on x, and [tex]B_{n-2}(x,y)[/tex] a ball in [tex]R^{n-2}[/tex] with a radius dependent on x and y. this decomposition should allow for use of fubini's theorem in part c)

c)find [tex]V_n(1)[/tex] in terms of [tex]V_{n-2}(1)[/tex]

d)find [tex]V_n(1)[/tex] in terms of only n (eg. find a closed form for [tex]V_n(1)[/tex])



for b), is the answer
[tex]B_n(1) = \{I, J \epsilon R^n, B_{n-2}(x,y) \epsilon R^{n-2} | I \epsilon [0,1], J \epsilon [-\sqrt{1-x^2}}, \sqrt{1-x^2}], B_{n-2}(x,y) \epsilon [0,1]*[0,1]*[0,1]\}[/tex]
not sure about the last part...how do i show that radius of B_{n-2}(x,y) is dependent on x and y?

for c), i found the answer to be [tex]V_n(1) = V_{n-2}(1) * \int_{0}^{2 \pi} \int_{0}^{1} r dr d{\theta}[/tex] (using polar coordinates)

i'm stuck on d). what does it mean by "closed form"
 
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Okay, what have you done on this?
 
and how do i go about finding it?

a) To show that V_n(r) = r^n * V_n(1), we can use the change of variables formula for integrals. Let x = ry, where y is a vector in R^n. Then, the integral becomes V_n(r) = \int_{B_n(r)} dV = \int_{B_n(1)} \frac{1}{r^n} dV = \frac{1}{r^n} * V_n(1). Therefore, V_n(r) = r^n * V_n(1).

b) To write B_n(1) as I*J(x) * B_{n-2}(x,y), we can use polar coordinates. Let x = (r, \theta, \phi, ..., \psi), where r is the radius and \theta, \phi, ..., \psi are the angles in R^{n-1}. Then, I = [0,1], J(x) = [-\sqrt{1-r^2}, \sqrt{1-r^2}], and B_{n-2}(x,y) = [0,1]^{n-2}. This decomposition allows us to use Fubini's theorem in part c).

c) Using Fubini's theorem, we can express V_n(1) in terms of V_{n-2}(1) as V_n(1) = \int_{B_n(1)} dV = \int_{I} \int_{J(x)} \int_{B_{n-2}(x,y)} dV = \int_{I} \int_{-\sqrt{1-x^2}}^{\sqrt{1-x^2}} \int_{B_{n-2}(x,y)} dV dx dy = \int_{I} \int_{-\sqrt{1-x^2}}^{\sqrt{1-x^2}} V_{n-2}(1) dx dy = V_{n-2}(1) * \int_{I} \int_{-\sqrt{1-x^2}}^{\sqrt{1-x^2}} dx dy = V_{n-2}(1) * \int_{I} 2\sqrt{1-x^2} dx = 2V_{n-2}(1) * \int_{0}^{1} \sqrt{1-x^
 

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