What Determines Pivot Positions in a Matrix?

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Pivot positions in a matrix are determined by the leading 1s in its reduced echelon form, which correspond to the columns marked with X. In this case, columns 1, 2, and 3 are indeed the pivot columns. The bonus question regarding finding a basis for Col(Ã) and Row(Ã) involves identifying a set of linearly independent vectors that span these spaces. To check for linear independence, one can use methods such as row reduction or examining the determinant of a matrix formed by the vectors. Understanding these concepts is crucial for grasping linear algebra fundamentals.
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Matrix: Ã=
1 -2 0 0 3
2 -5 -3 -2 6
0 5 15 10 0
2 6 18 8 6

Matrix on reduced echelon form:
1 0 0 -2 3
0 1 0 -1 0
0 0 1 1 0
0 0 0 0 0

X 0 0 -2 3
0 X 0 -1 0
0 0 X 1 0
0 0 0 0 0

Are the pivot positions the ones I've marked with X? And therefor colum 1, 2 and 3 are pivot columns? Or have I completely misunderstood?
Bonus question: Can't work out "Find a basis for Col(Ã), Row(Ã)". What does that even mean?
 
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Those are indeed the pivots.

As for the bonus, the basis is just a set of linearly independent vectors that can represent every vector in a space.
 
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QuarkCharmer said:
Those are indeed the pivots.

As for the bonus, the basis is just a set of linearly independent vectors that can represent every vector in a space.

Great, thanks a lot.

Linearly independent vectors? I've seen that before when I looked for the answer, but I didn't quite understand it. How do I check if it's linearly independent?
 
Question: A clock's minute hand has length 4 and its hour hand has length 3. What is the distance between the tips at the moment when it is increasing most rapidly?(Putnam Exam Question) Answer: Making assumption that both the hands moves at constant angular velocities, the answer is ## \sqrt{7} .## But don't you think this assumption is somewhat doubtful and wrong?

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