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A system \(\mathscr{L}\) of linear equations is said to be consistent if no linear combination of its equations is a degenerate equation \(L\) with a nonzero constant. Show that \(\mathscr{L}\) is consistent if and only if \(\mathscr{L}\) is reducible to echelon form.

Short Answer

Expert verified
A system of linear equations is consistent if and only if it can be reduced to echelon form. This can be proven through two steps: 1) showing that a consistent system can be reduced to echelon form by using a proof by contradiction and Gaussian Elimination, and 2) showing that a system reducible to echelon form is consistent because no degenerate equation with a nonzero constant exists in the system and solutions can be obtained using back-substitution.

Step by step solution

01

Proving that a consistent system can be reduced to echelon form

To show that if a system of linear equations is consistent, it can be reduced to echelon form, we will follow a proof by contradiction: 1. Assume that a linear system is consistent but cannot be reduced to echelon form. 2. Since the given system is consistent, there is at least one solution to the system of equations. 3. If there is at least one solution, then using Gaussian Elimination or another row reduction technique, we can attempt to reduce the matrix to echelon form. 4. If we fail to reduce the matrix to echelon form, that means at some point, we encountered a row where all elements are zero except for the constant term, i.e., a degenerate equation with a nonzero constant. 5. The existence of a degenerate equation with a nonzero constant contradicts our assumption that the system is consistent, as no such equation can have a solution. 6. Therefore, our assumption was incorrect, and a consistent system of linear equations must be reducible to echelon form.
02

Proving that a system reducible to echelon form is consistent

To show that if a system of linear equations can be reduced to echelon form, it is consistent, we will follow these steps: 1. Assume that a linear system can be reduced to echelon form. 2. If a system can be reduced to echelon form, that means no degenerate equation with a nonzero constant exists in the system (otherwise, it would not be possible to achieve echelon form). 3. In echelon form, we can use back-substitution to find the solutions to the system of equations. 4. Since we can obtain solutions using back-substitution, we can conclude that the system of linear equations is consistent. In conclusion, the system of linear equations is consistent if and only if it can be reduced to echelon form.

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Most popular questions from this chapter

Prove that any elementary row [column] operation of type 3 can be obtained by subtracting a multiple of some row [column] from another row [column].

Label the following statements as true or false. (a) An elementary matrix is always square. (b) The only entries of an elementary matrix are zeros and ones. (c) The \(n \times n\) identity matrix is an elementary matrix. (d) The product of two \(n \times n\) elementary matrices is an elementary matrix. (e) The inverse of an elementary matrix is an elementary matrix. (f) The sum of two \(n \times n\) elementary matrices is an elementary matrix. (g) The transpose of an elementary matrix is an elementary matrix. (h) If \(B\) is a matrix that can be obtained by performing an elementary row operation on a matrix \(A\), then \(B\) can also be obtained by performing an elementary column operation on \(A\). (i) If \(B\) is a matrix that can be obtained by performing an elementary row operation on a matrix \(A\), then \(A\) can be obtained by performing an elementary row operation on \(B\).

Let \(e\) be an elementary row operation and \(E\) its elementary matrix, and let \(f\) be the corresponding elementary column operation and \(F\) its elementary matrix. Prove (a) \(f(A)=\left(e\left(A^{T}\right)\right)^{T}\) (b) \(\quad F=E^{T}\) (c) \(f(A)=A F\)

Let \(A\) be an \(m \times n\) matrix with rank \(m\) and \(B\) be an \(n \times p\) matrix with rank \(n\). Determine the rank of \(A B\). Justify your answer.

Show that every elementary matrix \(E\) is invertible, and its inverse is an elementary matrix.

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