Three-Dimensional Matrix Multiplication

In summary, the conversation discusses the existence of a concept related to tensor math and its function in arrays. The conversation also explores the idea of multiplying tensors and the various possibilities and details involved in defining this operation.
  • #1
marschmellow
49
0
Does this concept exist? Google yields weird results that mostly have to do with programming, and Wikipedia says nothing about it. I always find that I understand tensor math better when I can translate it into matrix notation, but if I'm dealing with tensors of too high a rank, I don't know what to do anymore.

And if it does exist, I have some questions about the function of the extra dimension in the arrays. Column vectors correspond to vectors, and row vectors correspond to 1-forms, so what would vectors "orthogonal" (in the physical notation space) to row vectors and column vectors correspond to?
 
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  • #2
What you are asking is, how to multiply ##\left( \sum u_\rho \otimes v_\rho \otimes w_\rho \right)\left( \sum u'_\tau \otimes v'_\tau \otimes w'_\tau \right)## given as vectors in coordinate form and write the result in this form again.

Now here we are at the crucial point: How should this multiplication be defined? There are various possibilities, depending on whether dual vector spaces are involved, what the purpose of such a multiplication is, whether it is in three dimensional space where we have a cross product, whether it is just the multiplication in the tensor algebra etc.

So the answer to your question is: yes, but details depend on details given.
 

1. What is Three-Dimensional Matrix Multiplication?

Three-Dimensional Matrix Multiplication is a mathematical operation where two or more three-dimensional matrices are multiplied together to create a new matrix. This operation is often used in computer graphics, physics, and engineering to solve complex problems.

2. How is Three-Dimensional Matrix Multiplication different from regular Matrix Multiplication?

Three-Dimensional Matrix Multiplication involves multiplying matrices that have three dimensions, while regular Matrix Multiplication involves multiplying matrices that only have two dimensions. In three-dimensional multiplication, the number of columns in the first matrix must match the number of rows in the second matrix.

3. What are the benefits of Three-Dimensional Matrix Multiplication?

Three-Dimensional Matrix Multiplication allows for the representation of complex data and the ability to perform calculations on that data. It is useful in many fields, such as computer graphics and data analysis, where data is represented in three-dimensional space.

4. What are some applications of Three-Dimensional Matrix Multiplication?

Three-Dimensional Matrix Multiplication is commonly used in computer graphics to transform and manipulate 3D objects. It is also used in physics to calculate forces and velocities in three-dimensional space. Additionally, it is used in data analysis to perform calculations on three-dimensional data sets.

5. Are there any limitations to Three-Dimensional Matrix Multiplication?

Yes, there are some limitations to Three-Dimensional Matrix Multiplication. The matrices being multiplied must have the same dimensions, and the number of columns in the first matrix must match the number of rows in the second matrix. Additionally, the order of multiplication matters, and not all matrices can be multiplied together.

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