I don't understand why the rank = n - Rank-nullity theorem - nullity

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The discussion centers on the confusion surrounding the Rank-nullity theorem, specifically why rank equals n in certain contexts. The rank of a linear transformation is defined as the dimension of its range, while nullity refers to the dimension of the null space. The theorem states that the sum of rank and nullity equals the number of columns in the matrix (n). Clarifications are sought regarding the implications of specific equations, such as when there are no solutions or exactly one solution, which relate to the injectivity and surjectivity of the transformation. Understanding these concepts is essential for grasping the theorem's application in linear algebra.
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I don't understand why the rank = n -- Rank-nullity theorem -- nullity

Homework Statement


I'm working on #1 (the solutions are also included in that pdf) here ( http://ocw.mit.edu/courses/mathematics/18-06sc-linear-algebra-fall-2011/ax-b-and-the-four-subspaces/exam-1/MIT18_06SCF11_ex1s.pdf ).

Homework Equations


Ax = b
Ax = 0
rank A+ nullity A = n

The Attempt at a Solution


For #1(a), I don't understand why the rank = n. I've been told to look at the Rank-nullity theorem which states that rank A+ nullity A = n but, I don't understand what nullity means exactly. In fact, I'm not very solid on the meaning of rank either (but, I kind of get it).

Any input would be greatly appreciated!
 
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A linear transformation, A:U->V, maps vectors in a vector space, U, to a vector space V. It is fairly straight forward to show that the "range" of A, {v| v= Au for some u in U} is a subspace of V. The 'rank' of A is the dimension of that subspace. It is similarly straight forward to show that the null space of A, {u| AU= 0}. The 'nullity' of A is the dimension of the null space. One way of approaching the proof of the "rank-nullity" theorem is to choose a basis for the null space, \{u_1, u_2, ..., u_m\} and expand it to a basis for U by adding vectors \{u_{m+1}, ..., u_n\}. Show that every vector in the range of A can be written as a linear combination of \{Au_{m+1}, ..., Au_n\} and so has dimension n- m.
 


Two hints:

The first statement,
$$Ax = \left[ \begin{array}{c} 1 \\ 1 \\ 1 \end{array} \right] \textrm{ has no solutions}$$
means that ##A## is not ...? (Injective, surjective?)

The second statement,
$$Ax = \left[ \begin{array}{c} 0 \\ 1 \\ 0 \end{array} \right] \textrm{ has exactly one solution}$$
means that the kernel (null space) of ##A## is ...?
 
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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