LINEAR ALGEBRA - Describe the kernel of a linear transformation GEOMETRICALLY

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Homework Help Overview

The discussion revolves around the geometric description of the kernel of a linear transformation defined by the determinant of a matrix formed by vectors in \(\mathbb{R}^3\). Participants are exploring the implications of the transformation and its kernel in the context of linear algebra.

Discussion Character

  • Exploratory, Conceptual clarification, Assumption checking

Approaches and Questions Raised

  • Some participants attempt to clarify the geometric meaning of the kernel, suggesting that it relates to the conditions under which the determinant vanishes. Others question the definition of the kernel and its geometric representation, seeking a clearer understanding of the transformation involved.

Discussion Status

The discussion is ongoing, with participants providing insights and examples to illustrate the kernel's geometric interpretation. There is an exchange of ideas regarding the relationship between the vectors involved and the conditions for the transformation to yield zero. Some participants express confusion and seek further clarification on specific terms and concepts.

Contextual Notes

Participants are grappling with the definitions and implications of linear transformations and their kernels, particularly in relation to the geometric interpretations of vector products and determinants. There is a noted emphasis on understanding the concepts without relying solely on equations.

VinnyCee
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Homework Statement



For two nonparallel vectors [itex]\overrightarrow{v}[/itex] and [itex]\overrightarrow{w}[/itex] in [itex]\mathbb{R}^3[/itex], consider the linear transformation

[tex]T\left(\overrightarrow{x}\right)\,=\,det\left[\overrightarrow{x}\,\,\overrightarrow{v}\,\,\overrightarrow{w}\right][/tex]

from [itex]\mathbb{R}^3[/itex] to [itex]\mathbb{R}[/itex]. Describe the kernel of T geometrically. What is the image of T?

Homework Equations



I have no idea. Maybe the equations on how to find a kernel and image?

The Attempt at a Solution



I don't know where to even start this exercise! How does one "describe geometrically"?
 
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Given v and w, when does it vanish? No equations, nothing like that, just a simple statement of what it means when det vanishes. If you just use words, you'll be describing it geometrically. For instance, fix a y, and take the linear map

L_y : x--> x /\y

which takes x and sends it to the vector product of x and y, then the kernel is the set of x that are parallel to y (or the line spanned by y). That is a geometrical description of the kernel.

The point is that you could let x=(x_1,x_2,x_3) and v=(v_1,v_2,v_3) etc and write down an equation f(x_1,x_2,x_3)=0 with coefficients the v_i, w_i which parametrizes the kernel, but it would be incredibly unhelpful when there is a far simpler description.
 
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What is the definition of a kernel? How does that apply in your case? What is the geometrical representation of that?

Edit: too late, again.
 
Thank you for trying to explain this concept to me, however, I still do not understand!

Can you explain the formula [tex]L_y: x\,->\,x\,\bigwedge\,y[/tex]?

Is that also expressed as the "dot product"? The left of the equation reads "Linear transformation of y", right? [tex]L_y:\,x\,->\,\overrightarrow{x}\,\cdot\,\overrightarrow{y}[/tex]

Maybe if you just explain it in very precise terms that a "lay-person" would understand? I always have trouble with these dang kernels!

I know that a kernel is the functions or vectors that cause the transformation to be equal to zero (at least, I hope it is).
 
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VinnyCee said:
I know that a kernel is the functions or vectors that cause the transformation to be equal to zero (at least, I hope it is).

More precisely, the kernelis the set of vectors that 'cause' the transformation to be equal to zero.
 
The formula [itex]L_y : x \mapsto x \wedge y[/itex] says that Ly is a function that maps x to [itex]x \wedge y[/itex]. The wedge product is a generalization of the cross product, not the dot product. The kernel of Ly is the set of vectors {x | Ly(x) = 0}, which is exactly the same thing as [itex]\{ x\, |\, x \wedge y = 0\}[/itex]. Like I said, the wedge product is just a generalization of the cross product, so it's probably easier for you to consider instead the function Cy defined by [itex]C_y : x \mapsto x \times y[/itex]. Then:

[tex]\mbox{Ker}(C_y) = \{ x\, |\, C_y(x) = 0\} = \{ x\, |\, x \times y = 0\}[/tex]

This set is obviously just the set of vectors perpendicular to y, because [itex]x \times y = 0[/itex] iff x and y are perpendicular. You know that, right?
 
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This might help: For three vectors, [itex]\vec{x},\vec{u},\vec{v}[/itex],
[tex]det\left[\overrightarrow{x}\,\,\overrightarrow{v}\,\,\overrightarrow{w}\right][/tex]
also called the "triple" product, is [itex]\vec{x}\cdot\left(\vec{u} X \vec{v}\right)[/itex].
Of course, the dot product of two vectors is 0 if and only if they are perpendicular, and the cross product of two vectors is perpendicular to both of them. What does that tell you about the geometric relationship between [itex]\vec{x}[/itex] and [itex]\vec{u},\vec{v}[/itex] if this is equal to 0?
 

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