If A and B are 2 x 2 matrices with columns a1, a2, and b1, b2, respectively, then AB = [a1b1 a2b2].

FALSE Matrix multiplication is “row by column”. More test answers on https://studyhippo.com/m340l-exam-2-33714/

A product of invertible n x n matrices is invertible, and the inverse of the product of their matrices in the same order.

FALSE. It is invertible, but the inverses in the product of the inverses in the reverse order. More test answers on https://studyhippo.com/m340l-exam-2-33714/

I The transpose of a product of matrices equals the product of their transposes in the same order.

FALSE The transpose of a product of matrices equals the product of their transposes in the reverse order. More test answers on https://studyhippo.com/m340l-exam-2-33714/

A special grid that helps managers make the best choice among complex options Designed to eliminate bias and poor judgement More test answers on https://studyhippo.com/business-communication-chapter-12/

The transpose of a sum of matrices equals the sum of their transposes.

True More test answers on https://studyhippo.com/m340l-exam-2-33714/

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Matrices Flashcards, test questions and answers

Discover flashcards, test exam answers, and assignments to help you learn more about Matrices and other subjects. Don’t miss the chance to use them for more effective college education. Use our database of questions and answers on Matrices and get quick solutions for your test.

What is Matrices?

Matrices, a type of mathematical object, are a powerful tool in linear algebra. They come in all shapes and sizes, but all matrices share certain properties that make them invaluable for solving linear equations and other problems. Matrices are composed of elements arranged in rows and columns. Each element is referred to as an entry or cell and can contain either numerical values or symbols (like variables). The size of a matrix is defined by the number of rows and columns it has; two matrices with the same number of rows and columns are said to be conformable for operations like addition, subtraction, multiplication, division etc. The power of matrices lies in their ability to represent systems of linear equations. Every system of linear equations can be represented as a matrix equation; this makes it easy to solve many systems simultaneously with a single operation on the matrix equation.