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Linear Algebra, 2020a

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334 Chapter Four. Determinants<br />

2.6 Example Determinants bigger than 3×3 go quickly with the Gauss’s Method<br />

procedure.<br />

1 0 1 3<br />

1 0 1 3<br />

1 0 1 3<br />

0 1 1 4<br />

0 1 1 4<br />

0 1 1 4<br />

=<br />

=−<br />

=−(−5) =5<br />

0 0 0 5<br />

0 0 0 5<br />

0 0 −1 −3<br />

∣0 1 0 1∣<br />

∣0 0 −1 −3∣<br />

∣0 0 0 5 ∣<br />

That example raises an important point. This chapter’s introduction gives<br />

formulas for 2×2 and 3×3 determinants, so we know that they exist, but not for<br />

determinant functions on matrices that are 4×4 or larger. Instead, Definition 2.1<br />

gives properties that a determinant function should have and leads to computing<br />

determinants by Gauss’s Method.<br />

However, for any matrix we can reduce it to echelon form by Gauss’s Method<br />

in multiple ways. For example, given a reduction we could change it by inserting<br />

a first step that multiplies the top row by 2 and then a second step that multiplies<br />

it by 1/2. So we have to worry that two different Gauss’s Method reductions<br />

could lead to two different computed values for the determinant.<br />

That is, we must verify that Definition 2.1 gives a well-defined function. The<br />

next two subsections do this, showing that there exists a well-defined function<br />

satisfying the definition.<br />

But first we show that if there is such a function then there is no more than<br />

one. The example above illustrates the idea: we got 5 by following the properties<br />

of the definition. So while we have not yet proved that det 4×4 exists, that there<br />

is a function with properties (1) – (4), if such a function satisfying them does<br />

exist then we know what value it gives on the above matrix.<br />

2.7 Lemma For each n, if there is an n×n determinant function then it is unique.<br />

Proof Suppose that there are two functions det 1 , det 2 : M n×n → R satisfying<br />

the properties of Definition 2.1 and its consequence Lemma 2.4. Given a square<br />

matrix M, fix some way of performing Gauss’s Method to bring the matrix<br />

to echelon form (it does not matter that there are multiple ways, just fix one<br />

of them). By using this fixed reduction as in the above examples — keeping<br />

track of row-scaling factors and how the sign alternates on row swaps, and then<br />

multiplying down the diagonal of the echelon form result — we can compute the<br />

value that these two functions must return on M, and they must return the<br />

same value. Since they give the same output on every input, they are the same<br />

function.<br />

QED<br />

The ‘if there is an n×n determinant function’ emphasizes that, although we<br />

can use Gauss’s Method to compute the only value that a determinant function

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