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That's simply wrong. I can't imagine what process you're using for matrix multiplication of a vector, but it's not the right one.tanaygupta2000 said:Sir please assist me where am I doing mistake.View attachment 278400
The discussion revolves around the matrix formulation of an operator R acting on an N-dimensional linear vector space spanned by ortho-normal basis states. The original poster expresses difficulty in obtaining the expected results when applying the operator R to the basis vectors, specifically noting discrepancies in the outcomes compared to the defined behavior of the operator.
The discussion is ongoing, with various participants attempting to clarify the matrix representation and its application. Some have offered insights into potential errors in understanding the operator's action, while others are questioning specific entries in the matrix and their implications. There is a recognition of confusion regarding the relationship between matrix elements and basis vectors.
Participants are working under the constraints of the problem statement, which defines the operator's action on the basis states. There is an acknowledgment of potential misunderstandings regarding matrix multiplication and the representation of basis vectors.
That's simply wrong. I can't imagine what process you're using for matrix multiplication of a vector, but it's not the right one.tanaygupta2000 said:Sir please assist me where am I doing mistake.View attachment 278400
You're matrix multiplication is correct, but you have the wrong idea about what a basis vector is.tanaygupta2000 said:I just tried using a hermitian of R since it is behaving like a rotation matrix and I got ... is this good?View attachment 278403
You told it is b1> = transpose(1, 0, 0, ...,)PeroK said:You're matrix multiplication is correct, but you have the wrong idea about what a basis vector is.
Which is right. You're confusing it with the first component of a vector.tanaygupta2000 said:You told it is b1> = transpose(1, 0, 0, ...,)