Proving Linear Independence of Elements in R^4

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SUMMARY

The discussion addresses the proof of linear independence for vectors x_1, x_2, and x_3 in R^4, given that a vector v can be expressed as a linear combination of these vectors with distinct coefficients c1, c2, and c3. The initial claim that x_1, x_2, and x_3 are independent is challenged by a counterexample, demonstrating that the condition provided is insufficient for proving independence. Specifically, the counterexample shows that distinct coefficients do not guarantee linear independence, as the vectors can still be dependent.

PREREQUISITES
  • Understanding of linear combinations in vector spaces
  • Familiarity with the concept of linear independence
  • Knowledge of R^4 vector space properties
  • Basic proof techniques in linear algebra
NEXT STEPS
  • Study the definition and properties of linear independence in vector spaces
  • Explore counterexamples in linear algebra to understand conditions for independence
  • Learn about the rank-nullity theorem and its implications for linear combinations
  • Investigate the role of distinct coefficients in linear combinations and their impact on independence
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Students and educators in linear algebra, mathematicians focusing on vector spaces, and anyone interested in understanding the nuances of linear independence and proof techniques in higher-dimensional spaces.

JinM
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Homework Statement



Let v, x_1, x_2, x_3 be elements in R^4, and suppose that there are distinct real numbers c1, c2, and c3 such that v = c_1*x_1 + c_2*x_2 + c_2*x_2. Prove that x_1, x_2, and x_3 are independent.

The Attempt at a Solution



Let A=[x_1 x_2 x_3]. Then Col(A) = span{x_1, x_2, x_3}. By hypothesis, v belongs to Col(A), and v can be written as a linear combination of the x's with distinct constants that are not all zeros. **If at least one of the columns is a linear combination of the other columns, then v can be written as a linear combination of the other two x's with distinct coefficients. If one of the two coefficients is zero, then v = 0*x_2 + c_3*x_3 = 0*x_1 + 0*x_2 + c_3*x_3, which contradicts the hypothesis. Thus the X's are independent.

Does this actually prove the question? I'm not really familiar with proofs so I'm not sure of what I'm doing following the stars above. Thanks in advance! :)
 
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Did you state the question properly? Because it looks as though if [itex]x_1, x_2,x_3,v[/itex] only have to satisfy [itex]\vec{v} = c_1\vec{x_1} + c_2\vec{x_2} + c_3\vec{x_3}[/itex], one can easily come up with counterexamples such that [itex]\vec{x_1}, \vec{x_2}, \vec{x_3}[/itex] are linearly dependent. Was some condition omitted?
 
JinM said:

Homework Statement



Let v, x_1, x_2, x_3 be elements in R^4, and suppose that there are distinct real numbers c1, c2, and c3 such that v = c_1*x_1 + c_2*x_2 + c_2*x_2. Prove that x_1, x_2, and x_3 are independent.
As Defennder said, this is not true. As a counterexample, take x_1= <1, 1, 0, 0>, x_2= ,1, 0, 1, 0>, x_3= <2, 1, 1, 0> and v= <4, 2, 2, 0>. Then v= 1*x_1+ 1*x_2+ 1*x_3 but x_1, x_2, and x_3 are clearly not independent.

The Attempt at a Solution



Let A=[x_1 x_2 x_3]. Then Col(A) = span{x_1, x_2, x_3}. By hypothesis, v belongs to Col(A), and v can be written as a linear combination of the x's with distinct constants that are not all zeros. **If at least one of the columns is a linear combination of the other columns, then v can be written as a linear combination of the other two x's with distinct coefficients. If one of the two coefficients is zero, then v = 0*x_2 + c_3*x_3 = 0*x_1 + 0*x_2 + c_3*x_3, which contradicts the hypothesis. Thus the X's are independent.

Does this actually prove the question? I'm not really familiar with proofs so I'm not sure of what I'm doing following the stars above. Thanks in advance! :)
 

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