Linear Algebra with linear operators and rotations

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SUMMARY

The discussion centers on the properties of linear operators S and T defined on the x-y plane, where S rotates vectors 90 degrees counterclockwise and T reflects vectors through the y-axis. The participants analyze the validity of several equations involving the composition of these operators, concluding that options A (ST = I) and B (ST = -I) are false. They explore the implications of these operators on vectors, particularly focusing on whether ST = -TS holds true for all vectors in the x-y plane. The discussion emphasizes the importance of counter-examples in validating or invalidating mathematical statements.

PREREQUISITES
  • Understanding of linear algebra concepts, specifically linear operators
  • Familiarity with vector transformations in the x-y plane
  • Knowledge of matrix representation of linear transformations
  • Proficiency in performing vector rotations and reflections
NEXT STEPS
  • Study the properties of linear operators in linear algebra
  • Learn how to represent linear transformations using matrices
  • Explore the concept of vector composition and its implications in transformations
  • Investigate the geometric interpretations of rotations and reflections in the plane
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Students and professionals in mathematics, particularly those studying linear algebra, as well as educators looking for examples of linear transformations and their properties.

Jbrudie
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Definie linear operators S and T on the x-y plane as follows: S rotates each vector 90 degress counter clockwise, and T reflects each vector though the y axis. If ST = S o T and TS = T o S denote the composition of the linear operators, and I is the indentity map which of the following is true?

A) ST = I
B) ST = - I
C) TS = I
D) ST = TS
E) ST = -TS

I know for a fact that A and B are false.
B) For A then we can start with a vector on the positive x axis. Reflect it over the y-axis and the vector will lie on the negative x axis. Then rotate it 90 degress under S and it will lie on the negative y axis. This does not equal -I

For B) if we let the vector lie on the positive x axis, then if we reflect it under T it is on the negative real axis and then rotate it 90 degress under S then it lies on the negative y-axis This does not equal I.

C) If we take a vector on the positive x-axis again, rotate it 90 degress under S, then it will on the positive y axis, Under T it will not be reflected since it lies on the y-axis and so TS does not equal I
By the way I deliberately picked the vector lying on the x-axis because for that vector it does not work. The statement is true if the vector is lying somewhere in the first quadrant not on the axis but it has to be true for every vector.
I am not sure about D or E. Can someone check my work and help with D and E please?

I figure it out my providing counter-examples for A) through D).. Does anyone know how to show that ST = -TS for every vector in the x-y plane? Is there a way to prove it?
 
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Jbrudie said:
Definie linear operators S and T on the x-y plane as follows: S rotates each vector 90 degress counter clockwise, and T reflects each vector though the y axis. If ST = S o T and TS = T o S denote the composition of the linear operators, and I is the indentity map which of the following is true?

A) ST = I
B) ST = - I
C) TS = I
D) ST = TS
E) ST = -TS

I know for a fact that A and B are false.
B) For A then we can start with a vector on the positive x axis. Reflect it over the y-axis and the vector will lie on the negative x axis. Then rotate it 90 degress under S and it will lie on the negative y axis. This does not equal -I

For B) if we let the vector lie on the positive x axis, then if we reflect it under T it is on the negative real axis and then rotate it 90 degress under S then it lies on the negative y-axis This does not equal I.

C) If we take a vector on the positive x-axis again, rotate it 90 degress under S, then it will on the positive y axis, Under T it will not be reflected since it lies on the y-axis and so TS does not equal I.

By the way I deliberately picked the vector lying on the x-axis because for that vector it does not work. The statement is true if the vector is lying somewhere in the first quadrant not on the axis but it has to be true for every vector.
I'm not sure if you meant to say C is true for any vector in the first quadrant, which it isn't, but you are correct in that any counterexample, even one vector, can prove the statement false.

I am not sure about D or E. Can someone check my work and help with D and E please?
For each, calculate both sides of the equation for \hat{i} and \hat{j} and see if they're equal. If the equation holds for two basis vectors, it'll hold for any vector since S and T are linear.

You could also write down the matrices representing S and T and calculate their products to see if any of the equations holds.
 

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