Two quick questions on subspaces (intro to tensor calc)

In summary, the parametric equations for a hypersurface in VN are given by x^1 = acos(u^1), x^2 = asin(u^1)cos(u^2), x^3 = asin(u^1)sin(u^2)cos(u^3), ..., x^(N-1) = asin(u^1)sin(u^2)sin(u^3)...sin(u^(N-2))cos(u^(N-1)), and x^N = asin(u^1)sin(u^2)sin(u^3)...sin(u^(N-2))sin(u^(N-1)), where a is a constant. To find the single equation of the hypersurface,
  • #1
Ed Quanta
297
0
So the parametric equations of a hypersurface in VN
are

x^1=acos(u^1)
x^2=asin(u^1)cos(u^2)
x^3=asin(u^1)sin(u^2)cos(u^3)
...
x^(N-1)=asin(u^1)sin(u^2)sin(u^3)...sin(u^(N-2))cos(u^(N-1))
x^N=asin(u^1)sin(u^2)sin(u^3)...sin(u^(N-2))sin(u^(N-1))

where a is a constant. How do I find the single equation of the hypersurface? And then from this how can it be determined whether the points (1/2a,0,0,...,0) and (0,0,0,...0,2a) are on the same or opposite sides of the surface?

Any insight will be appreciated. Thanks. I ask another question when this thing is resolved in my mind.
 
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  • #2
Hint: What is the sum of the squares of all the coordinates?

Regards,
George
 
  • #3


To find the single equation of the hypersurface, you can start by setting up the equation x^N = a. This will give you a relationship between all the other variables, since the other equations are all in terms of u^1, u^2, u^3, etc. You can then solve for one of the u variables and substitute it into the other equations to eliminate that variable. This will leave you with a single equation in terms of x^1, x^2, x^3, etc.

To determine whether the points (1/2a,0,0,...,0) and (0,0,0,...0,2a) are on the same or opposite sides of the surface, you can plug in these values for x^1, x^2, x^3, etc. into the single equation you found. If the resulting equations are equal, then the points are on the same side of the surface. If they are not equal, then the points are on opposite sides of the surface. This can also be visualized by graphing the hypersurface and seeing where the points lie in relation to each other. I hope this helps! Let me know if you have any further questions.
 

1. What is a subspace?

A subspace is a subset of a vector space that is closed under addition and scalar multiplication. This means that any linear combination of vectors in the subspace will also be in the subspace.

2. How do you determine if a set of vectors form a subspace?

In order for a set of vectors to form a subspace, it must satisfy three conditions: it must contain the zero vector, it must be closed under addition, and it must be closed under scalar multiplication. These conditions can be checked by performing operations on the vectors and seeing if the resulting vectors are also in the set.

3. Can a subspace have more than one basis?

Yes, a subspace can have many different bases. This is because as long as the basis vectors are linearly independent and span the subspace, they can be used to represent the subspace. Different choices of basis vectors may result in different representations of the same subspace.

4. How is a subspace related to a basis?

A subspace can be represented by a basis, but a basis is not the same as a subspace. A basis is a set of linearly independent vectors that span a subspace, while a subspace is a subset of a vector space that satisfies certain conditions. A subspace can have many different bases, but a basis can only represent one subspace.

5. What is the connection between subspaces and tensor calculus?

Subspaces are often used in tensor calculus to represent the space in which tensors operate. Tensors are multidimensional arrays that can be thought of as linear transformations between vector spaces. By defining a subspace, we can restrict the operations of tensors to a specific space, making the calculations more manageable.

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