Understanding LA: Linear Transformation of Matrix A

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Discussion Overview

The discussion revolves around the concept of linear transformations, specifically focusing on the mapping defined by a matrix A, denoted as L_A. Participants explore the definition and properties of L_A as a linear function, questioning the nature of its operation and its implications in linear algebra.

Discussion Character

  • Exploratory
  • Technical explanation
  • Conceptual clarification

Main Points Raised

  • JL questions how L_A is a linear function and what kind of operation it represents when applied to matrix A, seeking clarification on whether it is merely a notation or has deeper significance.
  • Another participant expresses confusion about the term "LA" and requests a definition.
  • One participant provides a detailed explanation of L_A as a mapping from F^m to F^n, demonstrating its linearity through properties such as the preservation of vector addition and scalar multiplication.
  • This explanation is reiterated by another participant, who confirms their understanding of L_A's linearity and references a theorem from their text that supports this conclusion, outlining several properties of matrix operations.

Areas of Agreement / Disagreement

While there is agreement on the definition and properties of L_A as a linear transformation, there is some confusion regarding the terminology and the initial question posed by JL. The discussion reflects a mix of understanding and uncertainty about the notation and its implications.

Contextual Notes

The discussion highlights a reliance on specific theorems and definitions from linear algebra, which may not be universally understood by all participants. There is also an indication that some assumptions about prior knowledge may not hold for everyone involved.

jeff1evesque
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How is LA a linear function? What kind of operation is action on A? I thought L denotes a linear transformation. So if we have a matrix A, how is the LA a transformation? Is it just a definition (notation wise) or is there more to it?


Thanks,

JL
 
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jeff1evesque said:
How is LA a linear function? What kind of operation is action on A? I thought L denotes a linear transformation. So if we have a matrix A, how is the LA a transformation? Is it just a definition (notation wise) or is there more to it?


Thanks,

JL
I have no idea what you mean by "LA". How is it defined?
 
If A is an m*n matrix, then the mapping [tex]L_A[/tex] is from F^m to F^n and is defined by [tex]L_A(x) = Ax[/tex]. If [tex]x_1[/tex] and [tex]x_2 ][/tex] are vectors in F^n, then [tex]L_A (x_1 + x_2) = A(x_1 + x_2) = Ax_1 + Ax_2 = L_A(x_1) + L_A(x_2)[/tex]. Also, for any vector x in F^n and any scalar c, we have [tex]L_A(cx) = A(cx) = cAx = cL_A(x)[/tex]. Thus [tex]L_A[/tex] is a linear transformation.
 
JG89 said:
If A is an m*n matrix, then the mapping [tex]L_A[/tex] is from F^m to F^n and is defined by [tex]L_A(x) = Ax[/tex]. If [tex]x_1[/tex] and [tex]x_2 ][/tex] are vectors in F^n, then [tex]L_A (x_1 + x_2) = A(x_1 + x_2) = Ax_1 + Ax_2 = L_A(x_1) + L_A(x_2)[/tex]. Also, for any vector x in F^n and any scalar c, we have [tex]L_A(cx) = A(cx) = cAx = cL_A(x)[/tex]. Thus [tex]L_A[/tex] is a linear transformation.

THanks, that's exactly what I thought. However, in the text I am reading, it says L_A is linear immediately from theorem 2.12:

Theorem 2.12:
Let A be an mxn matrix, B and C be nxp matrices, and D and E be qxm matrices. Then,
(a) [tex]A(B + C) = AB + AC and (D + E)A = DA + EA.[/tex]
(b) [tex]a(AB) = (aA)B = A(aB)[/tex] for any scalar a.
(c) [tex]I_mA = A = AI_n[/tex]
(d) If V is an n-dimensional vector space with an ordered basis J, then [tex][I_V]_J = I_n[/tex]

THanks again.
 

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