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Elementary Abstract Algebra- Examples and Applications, 2019a

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338 CHAPTER 8 SIGMA NOTATION<br />

Exercise 8.6.4. There is a formula for the determinant of a n × n matrix<br />

in terms of an n-index Levi-Civita symbol. Guess what the formula should<br />

be (you don’t need to prove it).<br />

♦<br />

Based on our definition of the Levi-Civita symbol ɛ ijk in terms of the<br />

sign of the permutation ( 123<br />

ijk)<br />

, we can also write the formula for a 3 × 3<br />

determinant as:<br />

detA =<br />

∑<br />

permutations φ<br />

sign(φ) · a 1φ(1) a 2φ(2) a 3φ(3) .<br />

Exercise 8.6.5. Use this formula to prove that the determinant of any 3×3<br />

square matrix A is equal to the determinant of its transpose. That is,<br />

detA =detA T<br />

(*Hint*)<br />

♦<br />

An important concept to keep in mind when dealing with these Levi-<br />

Civita symbols is what they mean based on when indices are equal or unequal,<br />

<strong>and</strong> how that relates to permutations. To see how this works, let’s<br />

look at a proof to show that if any two rows in a 3 × 3 matrix are equal, the<br />

determinant is 0. Based on our definition we start out with:<br />

detA = ∑ i,j,k<br />

ɛ ijk a 1i a 2j a 3k<br />

We want to show what happens when any two rows are equal, so let’s do<br />

one case where row 1 equals row 2. In that case a 2j = a 1j . That means we<br />

can rewrite our determinant as:<br />

detA = ∑ i,j,k<br />

ɛ ijk a 1i a 1j a 3k<br />

Now the letters i, j, k are just “dummy indices” or placeholders, so we can<br />

replace them with any letters we want. So we can replace i with j <strong>and</strong><br />

vice-versa without changing the value:<br />

detA = ∑ ɛ jik a 1j a 1i a 3k<br />

j,i,k<br />

Now remember what we discussed earlier, if you interchange two indices<br />

(that is, an odd permutation) of ɛ ijk , you get its negative, so ɛ jik = −ɛ ijk .

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