Linear Algebra and Its Applications, 5th Edition

Linear Algebra and Its Applications, 5th Edition

Authors: David C. Lay, Steven R. Lay, Judi J. McDonald

ISBN-13: 978-0321982384

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See our solution for Question 15E from Chapter 2.1 from Lay's Linear Algebra and Its Applications, 5th Edition.

Problem 15E

Chapter:
Problem:
Exercises 15 and 16 concern arbitrary matrices A, B, and C for which the indicated sums and products are defined. Mark each statement True or False. Justify each answer. a. If A and B are

Step-by-Step Solution

Given Information
We have to marks the given statements as True or False and justify for the same.

Step 1: (a)
Statement: If A and B are $2 \times 2$ with columns $a_1; a_2$ and $b_1, b2$, respectively, then $AB = \left[ {{{\bf{a}}_{\bf{1}}}{{\bf{b}}_{\bf{1}}}\,\,\,\,{{\bf{a}}_{\bf{2}}}{{\bf{b}}_{\bf{2}}}} \right]$.

The Statement is False! For the product of two matrices, we need to have rows of A ($a_1; a_2$) and columns B ($b_1, b2$), then we can find the product as: \[AB = \left[ {{{\bf{a}}_{\bf{1}}}{{\bf{b}}_{\bf{1}}}\,\,\,\,{{\bf{a}}_{\bf{2}}}{{\bf{b}}_{\bf{2}}}} \right]\] However, we are only provided with columns of the matrices.

Therefore FALSE

Step 2: (b)
Statement: Each column of AB is a linear combination of the columnsof B using weights from the corresponding column of A..

The Statement is False! Each column of AB is a linear combination of the columns of A using weights from the corresponding column of B.

Therefore FALSE

Step 3: (c)
Statement: $AB + AC = A\left( {B + C} \right)$.

The Statement is TRUE! By the left distributive property, the statement is True

Therefore TRUE

Step 4: (d)
Statement: ${A^T} + {B^T} = {(A + B)^T}$.

The Statement is TRUE! By the properties of the transposition, the transpose of sum of matrices is sum of transposes of those matrices.

Therefore TRUE

Step 5: (e)
Statement: The transpose of a product of matrices equals the productof their transposes in the same order..

The Statement is TRUE! By the properties of the transposition, the transpose of the product matrices equals the product of their transposes in reverse order.

Therefore TRUE