Solving Boundary Conditions in 4D Spacetime Volume

In summary, the question pertains to the physical meaning of the boundary conditions on the eight 3D surfaces that make up the boundary of a finite 4D rectangular volume in spacetime. These boundaries are defined by holding one coordinate constant at a pair of maximum and minimum values and varying the others. The boundaries are not necessarily coordinate dependent and can be generalized to curved spacetime. The boundary conditions themselves are specified by giving the values of a field entity at each point on the boundary.
  • #1
BookWei
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Hi, my classmate asks me an interesting question: For a finite 4D volume in spacetime, its boundary is a 3D close surface. If the 4D volume is a 4D rectangular, the boundary consists of eight 3D surfaces. The boundary condition is specified on these eight 3D surface. Please explain the physical meaning of the boundary conditions on each of these eight 3D surface. We do not know how to explain this question in physics or mathematics. Can someone help us to attack this problem?
Thanks for all responses.
 
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  • #2
These aren't boundary conditions so much as boundaries. I'd suggest drawing a Minkowski diagram, a 1+1 dimensional spacetime. Draw a region bounded by four straight lines which you get by sequentially holding one coordinate constant at some pair of maximum and minimum values and varying the other. Describe those boundaries. Then sketch a 2+1 dimensional spacetime. You get six planes bounding a cuboidal region by sequentially holding one coordinate constant at some pair of maximum and minimum values and varying the others. Describe those boundaries. Then think about a 3+1 dimensional spacetime in the same way.

A couple of things to think about. Are your descriptions coordinate dependent or not? Does the above procedure generalise to curved spacetime?
 
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  • #3
Say E(t,x,y,z) is a field entity, boundary conditions are written as

t=0 All E(0,x,y,z) are given.
t=T All E(T,x,y,z) are given.

x=0 All E(t,0.y,z) are given
x=X All E(t,X.y,z) are given

similarly for y and z . Total eight lines.

where
0<t<T,0<x<X,0<y<Y,0<z<Z.
 

1. What are boundary conditions in 4D spacetime volume?

Boundary conditions refer to the specific constraints or requirements that must be satisfied at the edges or boundaries of a physical system. In the context of 4D spacetime volume, boundary conditions refer to the conditions that must be met at the edges of the 4-dimensional space-time continuum.

2. Why is solving boundary conditions in 4D spacetime volume important?

Solving boundary conditions in 4D spacetime volume is crucial for understanding and predicting the behavior of physical systems in our universe. It helps us to accurately describe and model the relationships between matter, energy, and gravity in the 4-dimensional space-time continuum.

3. What are some common techniques used to solve boundary conditions in 4D spacetime volume?

Some common techniques used to solve boundary conditions in 4D spacetime volume include numerical methods, such as finite difference methods and spectral methods, as well as analytical methods, such as Green's functions and variational methods. These techniques involve solving complex mathematical equations to determine the behavior of physical systems at their boundaries.

4. How do boundary conditions in 4D spacetime volume relate to Einstein's theory of general relativity?

Boundary conditions in 4D spacetime volume are closely tied to Einstein's theory of general relativity, which describes the relationship between matter, energy, and gravity in the 4-dimensional space-time continuum. The boundary conditions at the edges of a physical system are crucial in determining the curvature of space-time and the behavior of matter and energy within that system.

5. What are some current challenges in solving boundary conditions in 4D spacetime volume?

One of the main challenges in solving boundary conditions in 4D spacetime volume is the complexity and nonlinearity of the equations involved. This makes it difficult to find exact solutions, and often requires the use of numerical approximations. Additionally, the immense computational power required to solve these equations is another ongoing challenge in this field of research.

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