Are These Vector and Matrix Operations Formulated Correctly?

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Homework Help Overview

The discussion revolves around the formulation of vector and matrix operations, specifically in the context of index notation and tensor algebra. Participants are examining the correctness of various mathematical expressions involving vectors and tensors.

Discussion Character

  • Conceptual clarification, Mathematical reasoning, Problem interpretation

Approaches and Questions Raised

  • Participants are questioning the correctness of specific vector and matrix operations, including the use of index notation for expressions like A^T∙A∙x = A^T∙b. There is also exploration of the implications of using transposes and the proper placement of dot operators in tensor products.

Discussion Status

Some participants have provided guidance on the correct interpretation of index notation and the structure of tensor operations. There is an ongoing examination of the expressions presented, with multiple interpretations being explored without a clear consensus on the correctness of all formulations.

Contextual Notes

Participants are working under the assumption that certain notation conventions are understood, such as the distinction between vectors and their transposes. There is an emphasis on ensuring that summation indices are correctly applied in tensor operations.

oxxiissiixxo
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w=∇×u Is this correct? w_i=ε_ijk ∂/(∂x_j ) u_k
w and u are the vectors

C=(x∙y)z Is this correct? C_i= ∑_i〖(x_i y_j)∙z_i 〗
C, x, y, z are vectors

A^T∙A ∙x=A^T∙b Is this correct? A_ij^T∙A_ij∙x_j=A_ij^T∙b_i
A is tensor and x and b are vectors

A^T is A transpose
 
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Assuming you are not using subscripts and superscripts to distinguish between a vector and its transpose, yes, that is correct.
 
C=(x∙y)z Is this correct? C_i= ∑_i〖(x_i y_j)∙z_i 〗
C, x, y, z are vectors

Hall is usually right on, though this one should be (assuming orthonormal coordinates)
C=(x∙y)z C_j = z_i ∑_j (x_j y_j)
 
I want to make sure the way I am writing this A^T dot A dot x = A^T dot b in index notation correctly.

Would you mind to do that one time for me so that I can match up with my answer?

My answer was

A^T dot A dot x = A^T dot b >>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>

>>>>>>>>>>>>>>> A_ij^T dot A_ij dot x_j = A_ij^T dot b_i

A_ij^T mean A_ij is a tensor with ij components and A^T mean the transpose of A
x and b are both vector

This problem was asking me to rewrite the A^T dot A dot x = A^T dot b in index notation. Thank you!
 
oxxiissiixxo said:
I want to make sure the way I am writing this A^T dot A dot x = A^T dot b in index notation correctly.

Would you mind to do that one time for me so that I can match up with my answer?

My answer was

A^T dot A dot x = A^T dot b >>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>

>>>>>>>>>>>>>>> A_ij^T dot A_ij dot x_j = A_ij^T dot b_i

A_ij^T mean A_ij is a tensor with ij components and A^T mean the transpose of A
x and b are both vector

This problem was asking me to rewrite the A^T dot A dot x = A^T dot b in index notation. Thank you!

Just a quick hint before I knock off. The transpose of a matrix interchanges rows with columns. (A_ij)^T = A_ji.

To make the conversion to index notation it's convenient to think of the first index as indexing rows and the second as indexing columns:

C dot D = ∑_j (C_ij D_jk)
 
Is this correct? ∑_ j A_ji dot A_ij dot x_j = ∑_ i A_ij^T dot b_i ?
 
The summation should occur between only two tensors. As you've written it, you are summing over all three on the left hand side.

I should have noticed this earlier, but you should place the dot operator only between two vectors.

U·V = UVT = ∑i Ui Vi

Vector U is multiplied with the transpose of vector V.

So we should write the expression AT·Ax as

ATAxT, where A is a matrix, ATA is a matrix, and x is a row vector.

ATA is equal to AijT multiplied by Aij, which means we are going to multiply the rows of the first matrix by the rows of the second

ATA = ∑i Aij Aij

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For cut and paste.

α β γ δ ε ζ η θ ι κ λ μ ν ξ ο π ρ ς σ τ υ φ χ ψ ω . . . . . Γ Δ Θ Λ Ξ Π Σ Φ Ψ Ω
∂ ∫ ∏ ∑ . . . . . ← → ↓ ↑ ↔ . . . . . ± − · × ÷ √ . . . . . ¼ ½ ¾ ⅛ ⅜ ⅝ ⅞
∞ ° ² ³ ⁿ Å . . . . . ~ ≈ ≠ ≡ ≤ ≥ « » . . . . . † ‼
 
Last edited:

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