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What is another word for singular matrix?

Pronunciation: [sˈɪŋɡjʊlə mˈe͡ɪtɹɪks] (IPA)

A singular matrix is commonly referred to as a non-invertible matrix or a degenerate matrix. Equivalently, it is also known as a non-singular matrix or a regular matrix. These terms imply that the given matrix lacks an inverse and does not possess a unique solution for a system of equations. Another synonym for a singular matrix is a non-full rank matrix, emphasizing the absence of full rank in terms of linear independence among its columns or rows. These synonyms highlight the key characteristic of a singular matrix: its determinant is equal to zero. Identifying these synonyms aids in understanding the properties and limitations associated with a singular matrix in various mathematical and practical applications.
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What are the opposite words for singular matrix?

A singular matrix is a matrix that cannot be inverted. It is also known as a non-invertible or degenerate matrix. The antonyms of a singular matrix are invertible matrix, non-singular matrix, non-degenerate matrix or regular matrix. An invertible or non-singular matrix is a matrix that can be inverted, which means that it has an inverse that can be multiplied with the original matrix to get the identity matrix. A non-degenerate or regular matrix is a matrix that has a non-zero determinant, which means that its rows and columns are linearly independent. In summary, singular matrices have no inverse or are dependent while non-singular matrices have an inverse or are independent.

What are the antonyms for Singular matrix?

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