Can Linear Algebra Prove Vector Dependencies and Transformations?

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SUMMARY

The discussion focuses on proving vector dependencies and transformations using linear algebra concepts. Specifically, it establishes that for any five vectors in R3, there exist real coefficients such that both the linear combination equals zero and the sum of the coefficients equals zero. Additionally, it confirms that three vectors in R5, under a specified linear transformation, are linearly independent. Key techniques mentioned include extending vectors and analyzing linear combinations under transformations.

PREREQUISITES
  • Understanding of linear transformations in R5
  • Knowledge of vector spaces and linear independence
  • Familiarity with linear combinations and their properties
  • Basic concepts of extending vectors in higher dimensions
NEXT STEPS
  • Study the properties of linear transformations in R5
  • Learn how to prove linear independence of vectors
  • Explore methods for extending vectors in Rn
  • Investigate the implications of linear combinations in vector spaces
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Students and professionals in mathematics, particularly those studying linear algebra, as well as educators looking to enhance their understanding of vector dependencies and transformations.

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1) prove that for any five vectors (x1, ..., x5) in R3 there exist real numbers (c1, ..., c5), not all zero, so that BOTH

c1x1+c2x2+c3x3+c4x4+c5x5=0 AND c1+c2+c3+c4+c5=0

2)Let T:R5-->R5 be a linear transformation and x1, x2 & x3 be three non-zero vectors in R5 so that
T(x1)=x1
T(x2)=x1+x2
T(x3)=x2+x3

prove that {x1, x2, x3} are three linearly independent vectors.

any help would be greatly appreciated, thank you!
 
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I've thought up a proof for the first one but it might be too complicated. I'll try to think of a simpler one if somebody else doesn't.

As for the second, assume that you have a linear combination of the three equal to zero. Map it under the matrix and see if something cool happens. Then see if it happens again. There's probably a contradiction with the assumptions in there somewhere ;)
 
For question 1)

Extend a vector in R3 to one in R4 by adding a 1 in the fourth entry.
 
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