Understanding Linear Dependence in Matrix Multiplication

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If the last column of the product AB is zero while matrix B has no zero columns, then matrix A must be linearly dependent. This is because the non-zero columns of B can be expressed as a linear combination of the columns of A, leading to a situation where the columns of A cannot be independent. The discussion also touches on a question regarding the equality of matrix products AB and BA, where solving the equations correctly reveals that k must equal 5. The participants highlight the importance of understanding linear dependence and pivot columns as a way to remember these concepts. Overall, the conversation emphasizes the relationship between linear dependence in matrices and the implications of zero columns in their products.
amb123
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Suppose the last column of AB is zero, but B has no zero columns itself. What do we know about A?

So, Ab(sub)n = 0, but b(sub)n != 0. I have the answer, but I want to make sure I understand it. Going back to Linear Independence section I see that an indexed set of vectors {v1, ... vp} in Rn is linearly dependent if there exist weights c1..., cp, not all zero such that c1v1 + .. + cpvp = 0

So, I figure, plug in 'bn' for 'cp' and make the set {v1, ... vp} be the columns of A, and you would have A is Linearly dependent if B has columns, not all zero, that make a1v1 + ... anvn = 0.

So the proof then is that since we know that B has columns not all zero (in fact, it has no zero columns at all), then A must be linearly dependent.

Is this the right way to figure this? They give the right answer, but not the logic in the answer key. Furthermore, is there a way to remember this type of thing? Is there some logical way to prove this for myself aside from just knowing the theorum?

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another question I don't get :

Let A = [2,5;-3,1] and B = [4,-5;3,k]. What value of k, if any, will make AB = BA.

I got as far as figuring that 6-3k = -9 and 5k-10 = 15. So, solving for each, I get k = 5 and k = -1. But, the answer is k-5. Is the wording of the question wrong, or what is my problem here? Is there a simple algebra trick to this?

Thanks!
Angela.
 
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Your first answer is correct. Ab_n is the last column of AB and is linear combination of the column vectors of A. Since b_n is not zero, the columns of A are dependent.

For the second question. Solving 6-3k=-9 correctly gives k=5.
Likewise 5k-10=15 also yields k=5.
 
doh, nevermind! k does equal 5 (lord help me, I'm algebra deficient! lol!)

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I understand that A is dependent if it has non-pivot columns, and I guess that if a column is zero it obviously isn't a pivot column and therefore has a free variable and is dependent. I guess that would be a better way to remember for me, is that right?

Thanks! :)
Angela.
 
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The book claims the answer is that all the magnitudes are the same because "the gravitational force on the penguin is the same". I'm having trouble understanding this. I thought the buoyant force was equal to the weight of the fluid displaced. Weight depends on mass which depends on density. Therefore, due to the differing densities the buoyant force will be different in each case? Is this incorrect?

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