Solve Homogeneous System: Use Determinant to Check Nontrivial Solutions

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Homework Help Overview

The discussion revolves around the use of the determinant of a coefficient matrix in determining the existence of nontrivial solutions for homogeneous systems of equations. Participants explore the implications of the determinant being zero or non-zero in relation to the uniqueness of solutions.

Discussion Character

  • Conceptual clarification, Assumption checking

Approaches and Questions Raised

  • Participants inquire about the relationship between the determinant of the coefficient matrix and the nature of solutions (trivial vs. nontrivial). There are attempts to clarify the implications of determinant values and the conditions under which solutions exist.

Discussion Status

The discussion includes various interpretations of how the determinant relates to solutions of homogeneous systems. Some participants provide examples to illustrate their points, while others question the correctness of earlier statements. There is an exploration of the implications of having more unknowns than equations, leading to further clarification about the properties of non-square matrices.

Contextual Notes

Participants are navigating the definitions and properties of determinants in the context of linear algebra, particularly focusing on homogeneous systems. The discussion highlights the distinction between square and non-square matrices and the relevance of these properties to the existence of solutions.

Amy-Lee
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how does one use the determinant of the coefficient matrix of a system to determine if the system has nontrivial solutions or not?
 
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What do you know about the coefficient matrix if its determinant equals zero? What do you know if the determinant is not equal to zero?
 
determinant = 0, homogeneous equation equals zero... therefore trivial solution
determinant not to equal 0, homogeneous equation don't equal 0... therefore nontrivial solution?
 
Amy-Lee said:
determinant = 0, homogeneous equation equals zero... therefore trivial solution
determinant not to equal 0, homogeneous equation don't equal 0... therefore nontrivial solution?

No, this is incorrect. Also, an equation is never equal to anything. For example, x + 5 = 2 is an equation, but what is it equal to? There is always an = in an equation, but that indicates that two expressions have the same value.

For a very simple example of a system of linear equations, consider this system of two equations in two unknowns:
x + y = 0
2x + 2y = 0

The determinant of the matrix of coefficients is 0, which means that the solution to this system is not unique. For this system, there is the trivial solution (x = 0, y = 0), and a whole bunch (an infinite number) of nontrivial solutions, solutions other than the trivial solution.

Here's a second example:
x + y = 0
x - y = 0
The determinant of the matrix of coefficients this time is nonzero, which means that there is exactly one solution to the system of equations, in other words, that the solution is unique. For this system, the only solution is x = 0, y = 0, the trivial solution.

For these homogenous systems of equations, the value of the determinant of the matrix of coefficients determines whether there will be a unique solution (det is nonzero), the trivial solution, or an infinite number of solutions (det = 0), including the trivial solution.
 
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what about a homogeneous system of equations with more unknowns than equations, does the above also apply?
 
Amy-Lee said:
what about a homogeneous system of equations with more unknowns than equations, does the above also apply?
No. In that case the matrix of coefficients is not square (has more columns than rows). The determinant is defined only for square matrices.

For a linear system of n equations in n variables there is a direct connection between the value of the determinant of the matrix of coefficients and whether the matrix of coefficients has an inverse. If the determinant is zero, an inverse does not exist; if the determinant is nonzero, there is an inverse.
 

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