Matrix Transpose: Proving A^T + B^T = (A + B)^T.

A^T + B^T = (A + B)^T

True. See properties of transposition. Also should be able to think through to show this. When we add corresponding entries, these will remain corresponding entries after transposition. This is mentioned in Theorem 3B.

The statement A^T + B^T = (A + B)^T is true for any matrices A and B of compatible sizes.

To see why this is true, consider the transpose of the sum of two matrices A and B:

(A + B)^T

By the definition of matrix addition and transpose, we have:

(A + B)^T = (a_ij + b_ij)^T = (a_ij)^T + (b_ij)^T = A^T + B^T

where the last equality follows from the definition of matrix transpose, which states that the transpose of a sum of matrices is the sum of their transposes.

Therefore, we have shown that A^T + B^T = (A + B)^T for any matrices A and B of compatible sizes, and thus the statement is true.

More Answers:
Why The Statement The Second Row Of Ab Is The Second Row Of A Multiplied By B Is Not Always True In Matrix Product – An Explanation.
Matrix Product Ab And [Ab1 + Ab2 + Ab3]: Showing They Have The Same Entries But Not Always Equal As Matrices
The Transpose Of A Product Rule For Matrices

Error 403 The request cannot be completed because you have exceeded your quota. : quotaExceeded

Share:

Recent Posts

Mathematics in Cancer Treatment

How Mathematics is Transforming Cancer Treatment Mathematics plays an increasingly vital role in the fight against cancer mesothelioma. From optimizing drug delivery systems to personalizing

Read More »