Ax=b; every vector b is exactly from one vector x (from row space of A) <more>?

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The discussion centers on the implications of the equation Ax=b in linear algebra, specifically regarding the relationship between vectors in the row space of matrix A and the resulting vector b. It references "Linear Algebra and its Applications" by Gilbert Strang, highlighting that every vector b can be derived from a unique vector x within the row space of A. The inquiry raises the question of the consequences when multiplying A by a vector x that is not part of the row space, emphasizing the importance of understanding the linear map defined by A and its impact on vector transformations.

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"Ax=b; every vector b is exactly from one vector x (from row space of A)".. <more>?

Hi,
I m referring 'Linear Algebra and its applications by Gilbert Starng".

I read (ch.3.1)"Matrix transforms every vector from its row space to its column space". Or
if given Ax=b; every vector b is exactly from one vector x (from row space of A).
Just want to know What if we multiply A with some vector x which is not in row space?
(can we do it !?)...
Not able to figure it out. may be i have missed some basic concept or misunderstood it.

Please help me out..
than u..
 
Physics news on Phys.org
##A\, : \,V\longrightarrow V## defines a linear map on the vector space ##V##. We can write ##V=\operatorname{im} A \oplus \ker A##. This means we can split every vector ##v=v_{i}+ v_k## where ##v_i## is in the row space and ##v_k## is sent to zero.
 

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