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Section II. Geometry of Determinants 321<br />

1.2 Remark Although property (2) of the definition of determinants is redundant,<br />

it raises an important point. Consider these two.<br />

�v<br />

�u<br />

� �<br />

�<br />

�4<br />

1�<br />

�<br />

�2 3�<br />

=10<br />

� �<br />

�<br />

�1<br />

4�<br />

�<br />

�3 2�<br />

= −10<br />

The only difference between them is in the order in which the vectors are taken.<br />

If we take �u first and then go to �v, follow the counterclockwise arc shown, then<br />

the sign is positive. Following a clockwise arc gives a negative sign. The sign<br />

returned by the size function reflects the ‘orientation’ or ‘sense’ of the box. (We<br />

see the same thing if we picture the effect of scalar multiplication by a negative<br />

scalar.)<br />

Although it is both interesting and important, the idea of orientation turns<br />

out to be tricky. It is not needed for the development below, and so we will pass<br />

it by. (See Exercise 27.)<br />

1.3 Definition The box (or parallelepiped) formed by 〈�v1,...,�vn〉 (where each<br />

vector is from Rn �<br />

) includes all of the set {t1�v1 + ···+ tn�vn � t1,... ,tn ∈ [0..1]}.<br />

The volume of a box is the absolute value of the determinant of the matrix with<br />

those vectors as columns.<br />

1.4 Example Volume, because it is an absolute value, does not depend on<br />

the order in which the vectors are given. The volume of the parallelepiped in<br />

Exercise 1.1, can also be computed as the absolute value of this determinant.<br />

� �<br />

�<br />

�0<br />

2 0�<br />

�<br />

�<br />

�3<br />

0 3�<br />

� = −12<br />

�1<br />

2 1�<br />

The definition of volume gives a geometric interpretation to something in<br />

the space, boxes made from vectors. The next result relates the geometry to<br />

the functions that operate on spaces.<br />

1.5 Theorem A transformation t: R n → R n changes the size of all boxes by<br />

the same factor, namely the size of the image of a box |t(S)| is |T | times the<br />

size of the box |S|, where T is the matrix representing t with respect to the<br />

standard basis. That is, for all n×n matrices, the determinant of a product is<br />

the product of the determinants |TS| = |T |·|S|.<br />

The two sentences state the same idea, first in map terms and then in matrix<br />

terms. Although we tend to prefer a map point of view, the second sentence,<br />

the matrix version, is more convienent for the proof and is also the way that<br />

we shall use this result later. (Alternate proofs are given as Exercise 23 and<br />

Exercise 28.)<br />

�v<br />

�u

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