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

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SUMMARY

The discussion centers on the Rank-Nullity Theorem, which states that for a linear transformation represented by matrix A, the equation rank A + nullity A = n holds true, where n is the number of columns in A. The user seeks clarification on the concepts of rank and nullity, specifically how they relate to the dimensions of the range and null space of A. The rank is defined as the dimension of the range of A, while the nullity is the dimension of the null space. Understanding these definitions is crucial for solving linear algebra problems effectively.

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  • Linear algebra fundamentals, including vector spaces and linear transformations.
  • Understanding of matrix representation of linear equations.
  • Familiarity with the concepts of range and null space.
  • Basic knowledge of dimensions in vector spaces.
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Students and educators in mathematics, particularly those studying linear algebra, as well as anyone seeking to deepen their understanding of the Rank-Nullity Theorem and its applications in solving linear equations.

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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 ...?
 

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