For a fixed positive integer n, let D be a function whichassigns to any n × n matrix A a number D(A) such that a. D is linear in the rows (see Theorem 6.2.2), b. D ( B ) = − D ( A ) if B is obtained from A by a rowswap, and c. D ( I n ) = 1 . Show that D ( A ) = det ( A ) for all n × n matrices A.Him: Consider E = rref A . Think about the relationship between D(A) and D(E), mimicking Algorithm 6.2.5.The point of this exercise is that det(A) can be characterized by the three properties a, b. and c; the determinant can, in fact, be defined in terms of these properties. Ever since this approach was first presented in the1 880s by the German mathematician Karl Weierstrass (1817-1897), this definition has been generally use din advanced linear algebra courses because it allows amore elegant presentation of the theory of determinants.
For a fixed positive integer n, let D be a function whichassigns to any n × n matrix A a number D(A) such that a. D is linear in the rows (see Theorem 6.2.2), b. D ( B ) = − D ( A ) if B is obtained from A by a rowswap, and c. D ( I n ) = 1 . Show that D ( A ) = det ( A ) for all n × n matrices A.Him: Consider E = rref A . Think about the relationship between D(A) and D(E), mimicking Algorithm 6.2.5.The point of this exercise is that det(A) can be characterized by the three properties a, b. and c; the determinant can, in fact, be defined in terms of these properties. Ever since this approach was first presented in the1 880s by the German mathematician Karl Weierstrass (1817-1897), this definition has been generally use din advanced linear algebra courses because it allows amore elegant presentation of the theory of determinants.
Solution Summary: The author explains that the linear in row is D and E=I_n.
For a fixed positive integer n, let D be a function whichassigns to any
n
×
n
matrix A a number D(A) such that a. D is linear in the rows (see Theorem 6.2.2), b.
D
(
B
)
=
−
D
(
A
)
if B is obtained from A by a rowswap, and c.
D
(
I
n
)
=
1
. Show that
D
(
A
)
=
det
(
A
)
for all
n
×
n
matrices A.Him: Consider
E
=
rref
A
. Think about the relationship between D(A) and D(E), mimicking Algorithm 6.2.5.The point of this exercise is that det(A) can be characterized by the three properties a, b. and c; the determinant can, in fact, be defined in terms of these properties. Ever since this approach was first presented in the1 880s by the German mathematician Karl Weierstrass (1817-1897), this definition has been generally use din advanced linear algebra courses because it allows amore elegant presentation of the theory of determinants.
Branch of mathematics concerned with mathematical structures that are closed under operations like addition and scalar multiplication. It is the study of linear combinations, vector spaces, lines and planes, and some mappings that are used to perform linear transformations. Linear algebra also includes vectors, matrices, and linear functions. It has many applications from mathematical physics to modern algebra and coding theory.
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