Explaining Linear Dependence in 5 x 3 Matrix A

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In a 5 x 3 matrix A, there are five rows and three columns, meaning the rows can be viewed as vectors in a three-dimensional space. Since there are more vectors (rows) than dimensions (columns), at least one row must be a linear combination of the others, leading to linear dependence. This is a fundamental property of vector spaces where the number of vectors exceeds the dimension of the space. Therefore, the rows of any 5 x 3 matrix A are guaranteed to be linearly dependent. Understanding this concept is crucial for solving problems related to linear algebra and matrix theory.
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Homework Statement



For Any 5 x 3 matrix A, explain why rows of A must be linearly dependent.




The Attempt at a Solution


No idea please drop a hint
 
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blackblanx said:

Homework Statement



For Any 5 x 3 matrix A, explain why rows of A must be linearly dependent.




The Attempt at a Solution


No idea please drop a hint
What dimension are the rows? How many of them are there?
 
Hint: you can think of the rows as vectors in a three dimensional space.
 
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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