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Explain why the columns of an n×n matrix Aspan Rn when

Ais invertible. (Hint:Review Theorem 4 in Section 1.4.)

Short Answer

Expert verified

The columns of ann×nmatrix AspanRnwhen Ais invertible because the equationAx=bhas a unique solution for each b.

Step by step solution

01

Write the algorithm for obtaining A1

The inverse of anm×mmatrix A can be computed using the augmented matrix(20cAI), whereIis theidentity matrix. Matrix Ahas inverse only if (20cAI) is row equivalent to (20cIA1).

02

Explain the invertible and matrix span Rn

For each value of vector bin the equation,Ax=bhas aunique solution if the matrix A is invertible. So, the columns of ann×nmatrix Amust spanRn.

Thus, the columns of ann×nmatrix AspanRnwhen Aisinvertible.

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Most popular questions from this chapter

Let Abe an invertible n×n matrix, and let B be an n×p matrix. Explain why A1B can be computed by row reduction: If(20cAB)...(20cIX), then X=A1B.

If Ais larger than 2×2, then row reduction of (20cAB) is much faster than computing both A1 and A1B.

In the rest of this exercise set and in those to follow, you should assume that each matrix expression is defined. That is, the sizes of the matrices (and vectors) involved match appropriately.

Compute A5I3 and (5I3)A

A=(20c913876418)

Exercises 15 and 16 concern arbitrary matrices A, B, and Cfor which the indicated sums and products are defined. Mark each statement True or False. Justify each answer.

16. a. If A and B are 3×3 and B=(20cb1b2b3), then AB=(Ab1+Ab2+Ab3).

b. The second row of ABis the second row of Amultiplied on the right by B.

c. (AB)C=(AC)B

d. (AB)T=ATBT

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

Use the inverse found in Exercise 1 to solve the system

l8x1+6x2=25x1+4x2=1

In Exercise 10 mark each statement True or False. Justify each answer.

10. a. A product of invertible n×n matrices is invertible, and the inverse of the product of their inverses in the same order.

b. If A is invertible, then the inverse of A1 is A itself.

c. If A=(20cabcd) and ad=bc, then A is not invertible.

d. If A can be row reduced to the identity matrix, then A must be invertible.

e. If A is invertible, then elementary row operations that reduce A to the identity In also reduce A1 to In.

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