Finding [L] for Two Consecutive Linear Transformations in R3

In summary, the problem involves finding the transformation matrix [L] for a function L that first reflects through the plane x-z = 0 and then rotates the zy-plane by pi/6 counterclockwise starting from the y-axis. For the second part, it involves finding [L] for L that first rotates the xy-plane by pi/4 counterclockwise starting from the x-axis and then reflects through the plane x + y - z = 0. The solution requires finding 3 independent vectors and their transformations, and multiplying the matrices for each transformation or combining both transformations at once.
  • #1
lina29
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0

Homework Statement


A- Find [L] for L : R3 → R3 where L first reflects throught the plane x−z = 0
and then rotates the zy-plane by pi/6 counterclockwise starting from the y-axis.

B-Find [L] for L : R3 → R3 where L first rotates the xy-plane by pi/4 counterclockwise starting from the x-axis and then reflects throught the plane x + y − z = 0.

Homework Equations


The Attempt at a Solution


To be honest I don't really know where to start off on this problem. Any help would be appreciated. Thanks!
 
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  • #2
Hi lina29! :smile:

You need to think up a couple of vectors for which you can find the image.
For instance, for the reflection in a plane, you know that a vector in the plane will be transformed to itself.

Can you find 3 independent vectors and their transformations?

To make it easier for A, you can do this separately for both transformations, find the corresponding matrices, and multiply the matrices.
Or if you are up to the challenge, you can try to combine both transformations at once.
 

FAQ: Finding [L] for Two Consecutive Linear Transformations in R3

What is linear algebra?

Linear algebra is a branch of mathematics that deals with the study of linear equations, vectors, matrices, and linear transformations. It is used to solve systems of linear equations and to analyze geometric transformations.

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How is linear algebra used in real life?

Linear algebra has many applications in fields such as physics, engineering, computer science, and economics. It is used to model and solve real-world problems involving systems of linear equations, optimization, data analysis, and image processing.

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