Linear Combinations: Solving for 4th Vector with 3 Vectors

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SUMMARY

The discussion centers on determining whether a specific 4x1 matrix can be expressed as a linear combination of three given 4x1 matrices using Gaussian elimination. The three vectors provided are (1, 7, -2), (4, 10, 1), and (2, -4, 5), while the target vector is (54, 0, -108, 78). The user successfully sets up the augmented matrix and performs Gaussian elimination, leading to a simplified system of equations. The conclusion is that the target vector can be expressed as a linear combination if suitable values for the coefficients α, β, and γ can be found, specifically by setting γ to 1 and solving for α and β.

PREREQUISITES
  • Understanding of linear algebra concepts, specifically linear combinations.
  • Familiarity with Gaussian elimination techniques.
  • Knowledge of matrix representation and manipulation.
  • Basic proficiency in solving systems of linear equations.
NEXT STEPS
  • Learn how to perform Gaussian elimination on larger matrices.
  • Study the concept of vector spaces and their properties.
  • Explore the use of augmented matrices in solving linear systems.
  • Investigate the implications of linear independence and dependence in vector sets.
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Students and professionals in mathematics, particularly those studying linear algebra, as well as anyone involved in computational mathematics or engineering applications requiring vector manipulation.

HelpMeh
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Hi


If i have 3 4x1 matrices and i want to check if i can express a 4th matrix as the linear combination of the first 3.


my 3 vectors:

1 7 -2
4 10 1
2 -4 5
-3 -1 -4

can this vector be expressed a linear combination of the first 3:

54
0
-108
78


my attempt:

i made a big matrix out of them:

1 7 -2 c1 54
4 10 1 c2 0
2 -4 5 c3 -108
-3 -1 -4 c4 78



i do gaussian elimination:

1 0 1.5 -30
0 1 -.5 12

or

c1 + 1.5c2 = -30
c2 - .5c3


not sure what to do now.
 
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So your vector is a linear combination if and only if there exists \alpha,\beta,\gamma\in \mathbb{R} such that

\left\{<br /> \begin{array}{l}<br /> \alpha + 7\beta -2\gamma = 54\\<br /> 4\alpha+ 10\beta +\gamma = 0\\<br /> 2\alpha -4\beta +5\gamma= -108\\<br /> -3\alpha-\beta -4\gamma = 78<br /> \end{array}<br /> \right.

Due to Gaussian elimination (which I did not check) you reduced this question. That is: the vector is a linear combination if and only if there exists \alpha,\beta,\gamma\in\mathbb{R} such that

\left\{<br /> \begin{array}{l}<br /> \alpha +1.5\gamma= -30\\<br /> \beta -.5\gamma = 12<br /> \end{array}<br /> \right.

Can you find a suitable \alpha,\beta,\gamma now?? Just put \gamma=1 and see what the \alpha and \beta are.
 

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