Solving simultaneous equations

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    Simultaneous equations
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SUMMARY

The discussion centers on solving systems of simultaneous equations represented in matrix form, specifically the equation Ax = 0, where A is an n x n matrix. For a unique solution to exist, the determinant of matrix A must be nonzero; if det(A) = 0, A lacks an inverse, resulting in infinitely many solutions. The correct interpretation emphasizes that the zero vector is typically on the right side of the equation, not the left.

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  • Understanding of matrix equations, specifically Ax = 0
  • Knowledge of determinants and their properties
  • Familiarity with matrix inverses and their significance
  • Basic linear algebra concepts
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  • Study the properties of determinants in linear algebra
  • Learn about matrix inverses and conditions for their existence
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Students and professionals in mathematics, particularly those studying linear algebra, as well as anyone involved in fields requiring the solution of simultaneous equations.

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when solving a system of simultaneous equations in matrix from (with the LHS = 0) why does the determinant of the matrix need to vanish?

thanks
 
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lavster said:
when solving a system of simultaneous equations in matrix from (with the LHS = 0) why does the determinant of the matrix need to vanish?

thanks

I'm guessing you're talking about a matrix equation Ax = 0, where A is an n x n matrix containing the coefficients of the variables, x is a column vector with n entries, and 0 is a column vector whose n entries are all zero. (BTW, you almost always see the zero vector on the right side of the equation, not the left.)

For a unique solution to the system, the determinant of A must be nonzero; i.e., must NOT vanish. If det(A) is not zero, then A has an inverse, so the solution to the system is obtained by multiplying both sides of the equation by A-1.

Ax = 0 ==> A-1Ax = A-10 == > x = 0

If the determinant of A vanishes (i.e., det(A) = 0), then A does not have an inverse, which means in this case that there are an infinite number of solutions.
 

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