Solutions to equations involving linear transformations

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Discussion Overview

The discussion revolves around solutions to equations involving linear transformations, specifically focusing on the relationship between particular solutions and the kernel of a transformation. Participants explore the implications of linearity in transformations and seek resources for understanding these concepts in a broader context.

Discussion Character

  • Exploratory
  • Technical explanation
  • Conceptual clarification
  • Homework-related

Main Points Raised

  • One participant states that for a matrix equation ##A \vec{x} = \vec{b}##, if a particular solution ##p## exists, then all solutions can be expressed as ##p + k##, where ##k## is in the kernel of ##A##.
  • Another participant suggests using the definition of a linear transformation to prove that if ##T(v) = T(w) = b##, then ##v - w## is in the kernel of ##T##, prompting a reflection on its relevance to the original question.
  • A third participant encourages a geometric visualization of the problem by solving a specific matrix equation and considering the meanings of ##\vec{b}##, ##\vec{p}##, and the kernel, suggesting that higher-dimensional examples could also be illustrative.
  • A repeated point emphasizes that if ##\vec{x} = \vec{p} + \vec{k}##, where ##\vec{p}## is a solution to ##T(\vec{p}) = \vec{b}## and ##\vec{k}## is any vector in the kernel of ##T##, then the linearity of transformations leads to the conclusion that ##T(\vec{x}) = \vec{b}##.

Areas of Agreement / Disagreement

Participants express similar views on the relationship between particular solutions and the kernel of linear transformations, but there is no explicit consensus on the best approach to understanding or teaching these concepts. The discussion remains open-ended with various perspectives presented.

Contextual Notes

Some participants reference specific definitions and properties of linear transformations, but there are no settled assumptions or definitions agreed upon in the discussion. The mathematical steps and implications of the claims are not fully resolved.

Mr Davis 97
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I have learned that for matrix theory, for ##A \vec{x} = \vec{b}##, if there exists a particular solution ##p##, then every solution looks like ##p+k##, where ##k \in \ker A##.

Can someone help me find material on this online, but only in the context of general linear transformations? For example, I want something explaining that in general solutions to ##T (\vec{x}) = \vec{b}## looks like a translation of the kernel.
 
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do you know the definition of a linear transformation? If so try using it to prove that if T is linear and T(v) = b = T(w), then v-w is in the kernel of T. Then ask yourself how this relates to your question.
 
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Another helpful thought is to visualize it geometrically. Solve ##\begin{bmatrix}2&-1\\ 0 & 0\end{bmatrix} \vec{x}=\begin{bmatrix}-3 \\ 0 \end{bmatrix}## which can be drawn on a piece of paper, and think about what it means for the question: what is ##\vec{b}##, what ##\vec{p}## and what the kernel? Even three dimensional examples can easily be drawn, although it'll be a bit more work to do; on the other hand, there will be more dimensions for the kernel available.
 
Mr Davis 97 said:
I have learned that for matrix theory, for ##A \vec{x} = \vec{b}##, if there exists a particular solution ##p##, then every solution looks like ##p+k##, where ##k \in \ker A##.

Can someone help me find material on this online, but only in the context of general linear transformations? For example, I want something explaining that in general solutions to ##T (\vec{x}) = \vec{b}## looks like a translation of the kernel.
Let ##\vec x = \vec p + \vec k##, where ##\vec p## is a solution to ##T(\vec p) = \vec b##, and ##\vec k## is any vector in the kernel of T. Then ##T(\vec x) = T(\vec p + \vec k) = T(\vec p) + T(\vec k) = \vec b + \vec 0 = \vec b##, by the linearity of linear transformations. The matrix form of the equation follows immediately.
 

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