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Is the product of two lower triangular matrices a lower triangular matrix as well? Explain your answer.

Short Answer

Expert verified

Yes, the product of two lower triangular matrices is a lower triangular matrix.

Step by step solution

01

Definition of a Lower triangular matrix

A lower triangular matrix is defined as a square matrix having all the entries above the main diagonal zero.

02

Consider two n×n lower triangular matrices

Let us consider two n×nlower triangular matricesx

A=a110…0a21a22…0⋮⋮⋱⋮an1an2…amm

and

B=b110…0b21b22…0⋮⋮⋱⋮bn1bn2…bnn

03

Prove that the matrix AB is lower triangular matrices

We have to prove that the matrix AB is lower triangular, which means we have to show that the ijth entry of AB is 0 whenever i < j.

Now, the ijthentry of AB,localid="1659347524654" ABij=ithrowofA:jthcolumnsofB. Therefore

ABij=ai1ai2...aii0...00â‹®0bjjâ‹®bnj

which is equal to zero if i < j.

Therefore the product matrix AB is lower triangular.

04

The final answer

Yes, the product of two lower triangular matrices is a lower triangular matrix.

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Most popular questions from this chapter

The trace of a matrix [abcd]is the sum a+dof its diagonal entries. What can you say about the trace of a localid="1664169930199" 2×2matrixthat represents localid="1664169941875" a(n).

a. orthogonal projection b. reflection about a line

c. rotation d. (horizontal or vertical) shear.

In three cases, give the exact value of the trace, and in one case, give an interval of possible values.

There exists an invertible 2 × 2 matrix A such that A-1=[1111].

TRUE OR FALSE?

If A2=In, then matrixAmust be invertible.

Find the matrices of the linear transformations from R3to R3given in Exercises 19through 23. Some of these transformations have not been formally defined in the text. Use common sense. You may assume that all these transformations are linear.

19. The orthogonal projection onto the x-y-plane.

Rotations and reflections have two remarkable properties: They preserve the length of vectors and the angle between vectors. (Draw figures illustrating these properties.) We will show that, conversely, any linear transformationT from 2to2 that preserves length and angles is either a rotation or a reflection (about a line).

a. Show that if T(x→)=Ax→preserves length and angles, then the two column vectors υ→and w→of Amust be perpendicular unit vectors.

b. Write the first column vector of Aas υ→=[ab] ; note that a2+b2=1, since υ→is a unit vector. Show that for a given υ→there are two possibilities for w→, the second column vector of A. Draw a sketch showing υ→and the two possible vectors w→. Write the components of w→in terms of a and b.

c. Show that if a linear transformation T fromR2to R2 preserves length and angles, then Tis either a rotation or a reflection (about a line). See Exercise 17.

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