The Complete Solution to the matrix equation Ax = b

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Discussion Overview

The discussion revolves around the matrix equation ##A\vec x = \vec b##, focusing on the complete solution involving a particular solution and the nullspace. Participants explore the implications of including the nullspace in the solution set, particularly when ##\vec b## is non-zero.

Discussion Character

  • Exploratory, Technical explanation, Conceptual clarification

Main Points Raised

  • One participant questions the inclusion of the nullspace in the solution, noting that it is typically defined for the case when ##\vec b = \vec 0##.
  • Another participant explains that since ##Ax_n = 0##, adding any vector from the nullspace to a particular solution ##\vec x_p## still satisfies the equation ##A\vec x = \vec b##.
  • A further contribution clarifies that if there are two particular solutions ##\vec{x}_p## and ##\vec{x}_q##, their difference must lie in the nullspace, reinforcing the relationship between particular solutions and the nullspace.
  • It is noted that any vector from the nullspace can be added to a particular solution to yield another valid solution.

Areas of Agreement / Disagreement

Participants appear to agree on the mathematical reasoning behind the inclusion of the nullspace in the solution set, though initial confusion exists regarding its definition and application when ##\vec b## is non-zero.

Contextual Notes

The discussion does not resolve the initial confusion about the definition of the nullspace in relation to non-zero vectors, and assumptions about the properties of the matrix A are not explicitly stated.

Who May Find This Useful

Readers interested in linear algebra, particularly those studying matrix equations and solution spaces, may find this discussion relevant.

rtareen
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TL;DR
We are trying to find the complete solution to the matrix equation Ax = b where A in an m x n matrix and m is not equal to n.
We are trying to find the complete solution to the matrix equation ##A\vec x = \vec b## where A is an m x n matrix and ##\vec b## can be anything except the zero vector. The entire solution is said to be:
##\vec x = \vec x_p + \vec x_n##
where ##\vec x_p## is the solution for a particular ##\vec b## and ##\vec x_n## is the entire nullspace.

I don't understand this. Why is the nullspace included in the solution, when it is defined to be the solution when ##\vec b = \vec 0##? Or else what is this equation really saying?
 
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We have for any x:
##Ax= A(x_n+x_p)= b##
Note that ##x_n## can always be added to the solution since ##Ax_n=0## and ##Ax_p=b##
 
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If we have two particular solutions ##\vec{x}_p## and ##\vec{x}_q## then ##A\vec{x}_p-A\vec{x}_q=\vec{b}-\vec{b}=\vec{0}##. Thus ##\vec{x}_p-\vec{x}_q \in \operatorname{null}(A)##. Now
##A\vec{x}_p =\vec{b}=A\vec{x}_q + A(\vec{x}_p-\vec{x}_q)=A\vec{x}_p+A\vec{x}_n.##

On the other hand, if we start with any ##\vec{x}_n\in \operatorname{null}(A)##, and have one particular solution ##\vec{x}_p,## then ##A(\vec{x}_p+\vec{x}_n)=\vec{b}+\vec{0}=\vec{b}.## So we may add any vector from the nullspace and get another particular solution ##\vec{x}_p+\vec{x}_n.##

This mean that all vectors in the set ##\vec{x}_p +\operatorname{null}(A)## are all possible solutions to ##A\vec{x}=\vec{b}.##
 
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Likes   Reactions: rtareen and Abhishek11235
These answers make sense. Thanks guys.
 

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