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Fundamentals of Matrix Algebra, 2011a

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3<br />

.<br />

O M<br />

In the previous chapter we learned about matrix arithmec: adding, subtracng, and<br />

mulplying matrices, finding inverses, and mulplying by scalars. In this chapter we<br />

learn about some operaons that we perform on matrices. We can think <strong>of</strong> them as<br />

funcons: you input a matrix, and you get something back. One <strong>of</strong> these operaons,<br />

the transpose, will return another matrix. With the other operaons, the trace and<br />

the determinant, we input matrices and get numbers in return, an idea that is different<br />

than what we have seen before.<br />

3.1 The <strong>Matrix</strong> Transpose<br />

AS YOU READ ...<br />

. . .<br />

1. T/F: If A is a 3 × 5 matrix, then A T will be a 5 × 3 matrix.<br />

2. Where are there zeros in an upper triangular matrix?<br />

3. T/F: A matrix is symmetric if it doesn’t change when you take its transpose.<br />

4. What is the transpose <strong>of</strong> the transpose <strong>of</strong> A?<br />

5. Give 2 other terms to describe symmetric matrices besides “interesng.”<br />

We jump right in with a definion.

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