Proving Consistency in Linear Systems: The Case of Three Equations

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SUMMARY

The discussion focuses on proving the consistency of a linear system represented by three equations: x+y+2z=a, x+z=b, and 2x+y+3z=c. It is established that for the system to have at least one solution, the condition c=a+b must be satisfied. The method involves manipulating the coefficient matrix and augmented matrix to demonstrate that their ranks are equal, confirming the existence of solutions. The matrix system provided is crucial for applying row-echelon form to derive the necessary conditions.

PREREQUISITES
  • Understanding of linear algebra concepts, specifically systems of equations.
  • Familiarity with matrix operations, including row-echelon form.
  • Knowledge of rank of matrices and its implications for solution existence.
  • Basic skills in manipulating algebraic expressions and equations.
NEXT STEPS
  • Study the method of finding the rank of a matrix using Gaussian elimination.
  • Learn about the implications of the Rouché–Capelli theorem in linear systems.
  • Explore examples of proving consistency in systems with more than three equations.
  • Investigate the use of matrix determinants in determining the uniqueness of solutions.
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Students and professionals in mathematics, particularly those studying linear algebra, as well as educators looking for examples of proving consistency in linear systems.

CaityAnn
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I have three systems of equations:
x+y+2z=a , x+z= b and 2x+y+3z=c
Show that in order for this system to have at least one solution, a,b,c must satisfy c=a+b.

Obviously I can add the equations a and b and get c. But I don't know how else to approach showing this. I think the points of x,y,z of c must satisfy both a,b and provide a solution set for both but I am not sure how to prove that. HELP PLEASE~!
 
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The matrix system is:

[tex]\begin{bmatrix}<br /> 1 & 1 & 2 & a \\<br /> 1 & 0 & 1 & b \\<br /> 2 & 1 & 3 & c \\<br /> \end{bmatrix}[/tex]

The system has at least one solution if the rank of the coefficient matrix equals the rank of the augmented matrix. Get the matrix to row-echleon form.
 
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