3. Let A be a 2 x 3 matrix, B a 3 × 4 matrix, and C a 4 x 5 matrix. The triple product ABC can be computed in two different ways: as (AB)C or as A(BC). (The fact that these always give the same answer is known as the associative law, Theorem 2(a) in section 2.1 of the textbook.) How many pairs of real numbers must be multiplied in the process of computing (AB)C? What about A(BC)? Which way of computing ABC is more efficient? To make sure you're on the right track in Problem 3, it takes eight multiplications to compute the product of two 2 x 2 matrices in the usual way. (If you're interested, you can read online about Strassen's algorithm which multiplies two 2x2 matrices in a more complicated way that uses only seven multiplications. Problem 3, however, asks only about “traditional" matrix multiplication using the row-column rule.)
3. Let A be a 2 x 3 matrix, B a 3 × 4 matrix, and C a 4 x 5 matrix. The triple product ABC can be computed in two different ways: as (AB)C or as A(BC). (The fact that these always give the same answer is known as the associative law, Theorem 2(a) in section 2.1 of the textbook.) How many pairs of real numbers must be multiplied in the process of computing (AB)C? What about A(BC)? Which way of computing ABC is more efficient? To make sure you're on the right track in Problem 3, it takes eight multiplications to compute the product of two 2 x 2 matrices in the usual way. (If you're interested, you can read online about Strassen's algorithm which multiplies two 2x2 matrices in a more complicated way that uses only seven multiplications. Problem 3, however, asks only about “traditional" matrix multiplication using the row-column rule.)
Linear Algebra: A Modern Introduction
4th Edition
ISBN:9781285463247
Author:David Poole
Publisher:David Poole
Chapter2: Systems Of Linear Equations
Section2.2: Direct Methods For Solving Linear Systems
Problem 3CEXP
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