Consider a linear transformation T from ℝ m + n to ℝ m .The matrix A of T can be written in block form as A = [ A 1 A 2 ] . where A 1 is m × m and A 2 is m × n .Suppose that det ( A 1 ) ≠ 0 . Show that for every vectorin R” there exists a unique y → in ℝ m such that T [ x → y → ] . Show that the transformation x → → y → from ℝ n to ℝ m is linear, and find its matrix M (in termsof A 1 and A 2 ). (This is the linear version of the implicit function theorem of multivariable calculus. )
Consider a linear transformation T from ℝ m + n to ℝ m .The matrix A of T can be written in block form as A = [ A 1 A 2 ] . where A 1 is m × m and A 2 is m × n .Suppose that det ( A 1 ) ≠ 0 . Show that for every vectorin R” there exists a unique y → in ℝ m such that T [ x → y → ] . Show that the transformation x → → y → from ℝ n to ℝ m is linear, and find its matrix M (in termsof A 1 and A 2 ). (This is the linear version of the implicit function theorem of multivariable calculus. )
Solution Summary: The author explains that the linear transformation from Rm+n is T.
Consider a linear transformation T from
ℝ
m
+
n
to
ℝ
m
.The matrix A of T can be written in block form as
A
=
[
A
1
A
2
]
. where
A
1
is
m
×
m
and
A
2
is
m
×
n
.Suppose that
det
(
A
1
)
≠
0
. Show that for every vectorin R” there exists a unique
y
→
in
ℝ
m
such that
T
[
x
→
y
→
]
. Show that the transformation
x
→
→
y
→
from
ℝ
n
to
ℝ
m
is linear, and find its matrix M (in termsof
A
1
and
A
2
). (This is the linear version of the implicit function theorem of multivariable calculus.)
Study of calculus in one variable to multiple variables. The typical operations involved in multivariate calculus are limits and continuity, partial differentiation, and multiple integration. Major applications are in regression analysis, in finance by quantitative analysis, in engineering and social science to study and build high dimensional systems and exhibit deterministic nature.
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