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Consider an n × p matrix A, a p × m matrix B, and a scalar k. Show that (k A)B = A (k B) = k(AB)

Short Answer

Expert verified

It is proved that,

(kA)B = A (k B) = k(AB)

Step by step solution

01

Consider the matrices A and B

Let us take two matrices A and B of order 2 x 2 where n = p = m = 2 such that

A=a11a12a21a22andB=b11b12b21b22

Then the matrix AB is of order 2 x 2 as well. Let us take any scalar k.

02

Finding the matrix (kA) B

We have

A=a11a12a21a22andB=b11b12b21b22

kA=ka11ka12ka21ka22

kAB=ka11ka12ka21ka22b11b12b21b22=ka11b11+ka12b21ka11b12+ka12b22ka21b11+ka22b21ka21b12+ka22b22

03

 Finding the matrix A(k B)

kB=kb11kb12kb21kb22

role="math" localid="1660193118517" A(kB)=kb11kb12kb21kb22AkB=a11a12a21a22kb11kb12kb21kb22=ka11b11+ka12b21ka11b12+ka12b22ka21b11+ka22b21ka21b12+ka22b22
04

Finding the matrix k(AB)

We have

A=a11a12a21a22andB=b11b12b21b22

role="math" localid="1660193303568" A=a11a12a21a22b11b12b21b22=a11b11+a12b21a11b12+a12b22a21b11+a22b21a21b12+a22b22

kAB=ka11b11+ka12b21ka11b12+ka12b22ka21b11+ka22b21ka21b12+ka22b22

05

 Final Answer

Consider a 2 x 2 matrix A, a 2 x 2 matrix B, and a scalar k. Then we have

(k A)B = A (k B) = k(AB).

Since this is true for n = p = m = 2, therefore it is true for all values of n, m, p.

Hence, if we have an n × p matrix A, a p × m matrix B, and a scalar k then

(k A)B = A (k B) = k(AB).

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Most popular questions from this chapter

In the financial pages of a newspaper, one can sometimes find a table (or matrix) listing the exchange rates between currencies. In this exercise we will consider a miniature version of such a table, involving only the Canadian dollar (C\() and the South African Rand (ZAR) . Consider the matrix

role="math" localid="1659786495324" C\)ZARA=[11/881]C\(ZAR

representing the fact thatrole="math" localid="1659786520551" C\)1 is worth role="math" localid="1659786525050" ZAR8 (as of September 2012).

a. After a trip you have C$100 and ZAR1,600 in your pocket. We represent these two values in the vector x→=[1001,600] . Compute Ax→ . What is the practical significance of the two components of the vector Ax→ ?

b. Verify that matrix A fails to be invertible. For which vectorsb→is the system Ax→=b→ consistent? What is the practical significance of your answer? If the system Ax→=b→ is consistent, how many solutionsx→are there? Again, what is the practical significance of the answer?

a. Show that if an invertible n×nmatrix A admits an LU-factorization, then it admits an LDU factorization. See Exercise 90 d.

b. Show that if an invertible matrix A admits an L DU-factorization, then this factorization is unique. Hint: Suppose that A=L1D1U1=L2D2U2, then U2U-1=D2-1L2-1L1D1is diagonal (why?). Conclude that U2=U1.

Which of the functions f from R toR in Exercises 21 through 24 are invertible?22 f(x)=2x.

TRUE OR FALSE?

If A is an invertible2×2 matrix and B is any 2×2 matrix, then the formula rref (AB) = rref (B)must hold.

Find all 2 × 2 matrices X such that AX = X A for all 2 × 2 matrices A.

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