Multiplying a vector with Square Matrix vs. its transpose

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The discussion revolves around understanding the multiplication of a square matrix A with a vector B and its transpose A'. The key point is that if matrix A is symmetric, then multiplying it by vector B yields the same result as multiplying its transpose A' by B. Participants suggest creating simple examples with small matrices to gain better intuition. Additionally, there's a clarification on notation, emphasizing that capital letters denote matrices while lowercase letters represent vectors. Understanding these concepts is crucial for grasping linear algebra fundamentals.
newphysist
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Hi,

I am new to Math so I am trying to get some intuition.

Let's say I have a matrix A of n x n and a vector B of n x 1 what is the difference between A x B and A' x B?

Thanks
 
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I am not sure what you are looking for. I suggest you create some simple examples (n = 2 or 3) and see what you get.
 
newphysist said:
Hi,

I am new to Math so I am trying to get some intuition.

Let's say I have a matrix A of n x n and a vector B of n x 1 what is the difference between A x B and A' x B?
If the matrix A is symmetric, there's no difference between Ab and ATb.

Note that I changed your notation a bit. Capital letters are usually used to represent matrices, and lower case letters are usually used for vectors.
 
Here is a little puzzle from the book 100 Geometric Games by Pierre Berloquin. The side of a small square is one meter long and the side of a larger square one and a half meters long. One vertex of the large square is at the center of the small square. The side of the large square cuts two sides of the small square into one- third parts and two-thirds parts. What is the area where the squares overlap?

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