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Poirot1
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How would I prove that if A is singular, then Av=0 has a non-zero solution?.
Poirot said:How would I prove that if A is singular, then Av=0 has a non-zero solution?.
Jameson said:If A is singular then it isn't invertible, so by the invertible matrix theorem the columns of A are not linearly independent.
A singular matrix is a square matrix that does not have an inverse. This means that it cannot be multiplied with another matrix to produce the identity matrix. In other words, a singular matrix is a matrix that cannot be inverted.
To determine if a matrix is singular, you can calculate its determinant. If the determinant is equal to zero, then the matrix is singular. You can also check if the matrix has linearly dependent rows or columns, as this also indicates singularity.
Proving that a matrix is singular is important in many areas of mathematics and science. In linear algebra, singular matrices have special properties that can help with solving systems of equations and understanding linear transformations. In statistics, singular matrices are used in multivariate analysis to identify relationships between variables.
Yes, a singular matrix can have a non-zero solution. This means that there exists a non-zero vector that, when multiplied by the singular matrix, results in the zero vector. However, a singular matrix cannot have a unique solution.
To prove that a matrix has a non-zero solution, you can use the properties of singular matrices. For example, you can show that the determinant of the matrix is equal to zero, or that the matrix has linearly dependent rows or columns. These properties indicate that there exists a non-zero solution for the matrix.