SEhahon from R to R determined by (x1, x2) + (yı, y2), where %3D (*) Compute the Jacobian determinant of this transformation, and find the inverse (where it exists) by solving the system of equations in (+) for x1 and x2. Examine what the transformation does to the rectangle determined by 1 SIS2, 1/2 s x252/3. Draw a figure! 7. Consider the linear transformation T: (x, y) ► (u, v) from R² to R determined by u =. v = cx + dy, where a, b, c, and d are constants, not all equal to 0. Suppose the Jacobian determinant ofT is 0. Then, show that T maps the whole of R onto a straight line through the origin of the uv-plane. ax+by, O 8. Consider the transformation T:R? → R² defined by T(r, 8) = (r cos e,r sin 0). (a) Compute the Jacobian determinant J of T. (b) Let A be the domain in the (r, 0) plane determined by 1 2n. Show that J 0 in the whole of A, yet T is not one-to-one in A. 9. Give sufficient conditions on f and g to ensure that the equations (K x)8 = a '(K 'x)f = n can be solved for x and y locally. Show that if the solutions are x = F (4, v), y = G(u, v), and if f, g, F, and G are C', then se 1 xe r aF aG J ay ne %3! ng where J denotes the Jacobian determinant of f and g w.r.t u and v. M 10. (a) Consider the system of equations 1+ (x +y)u - (2+ u)!+" = 0 0 = (1-n(Kx + 11) - nz Use Theorem 2.7.2 to show that the system defines u and v as functions of x and y in an open ball around (x, y, u, v) = (1, 1, 1, 0). Find the values of the partial derivatives of the two functions w.r.t. x when x = 1, y = 1, u = 1, v = 0. %3D (b) Let a and b be arbitrary numbers in the interval [0, 1]. Use the intermediate value theorem (see e.g. EMEA, Section 7.10) to show that the equation 0 = (1-9»³D – n has a solution in the interval (0, 1]. Is the solution unique? (c) Show by using (b) that for any point (x, y), x E [0, 1], y e (0, 1, there exist solutions u and u of the SYstem. Are u and y uniquely determined?

Linear Algebra: A Modern Introduction
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ISBN:9781285463247
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Chapter6: Vector Spaces
Section6.2: Linear Independence, Basis, And Dimension
Problem 15EQ
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Can you help with question 10? I attached theorem 2.7.2!!

SM 6. Consider the transformation from R? to R? determined by (x1, x2) → (yi, y2), where
Zylr = K
(*)
Compute the Jacobian determinant of this transformation, and find the inverse (where it exists)
by solving the system of equations in (*) for x1 and x2. Examine what the transformation does
to the rectangle determined by 1 sxI S2, 1/2 s x2 2/3. Draw a figure!
7. Consider the linear transformation T: (x, y) → (u, v) from R² to R² determined by u = ax+by,
v = cx + dy, where a, b, c, and d are constants, not all equal to 0. Suppose the Jacobian
determinant of T is 0. Then, show that T maps the whole of R? onto a straight line through the
origin of the uv-plane.
SM 8. Consider the transformation T: R → R defined by T(r, 8) = (r cos 0 , r sin 0).
(a) Compute the Jacobian determinant J of T.
(b) Let A be the domain in the (r, 0) plane determined by 1 <rS2 and 0 e [0, k], where
k > 27. Show that J 0 in the whole of A, yet T is not one-to-one in A.
9. Give sufficient conditions on f and g to ensure that the equations
u = f(x, y), v = g(x, y)
can be solved for x and y locally. Show that if the solutions are x = F (u, v), y = G(u, v), and
if f, g, F, and G are C', then
de
%3D
aG
8e I
ne
ne
where J denotes the Jacobian determinant of f and g w.r.t u and v.
M 10. (a) Consider the system of equations
1+ (x + y)u – (2 + u)'+v = 0
0 = (1-1)»³(Kx +1) – nz
Use Theorem 2.7.2 to show that the system defines u and v as functions of x and y in an
open ball around (x, y, u, v) = (1, 1, 1, 0). Find the values of the partial derivatives of the
two functions w.r.t. x when x = 1, y = 1, u = 1, v = 0.
(b) Let a and b be arbitrary numbers in the interval [0, 1]. Use the intermediate value theorem
(see e.
EMEA, Section 7.10) to show that the equation
has a solution in the interval (0, 1]. Is the solution unique?
(c) Show by using (b) that for any point (x, y), x e [0, 1], y e [0, 1], there exist solutions u
and v of the system. Are u and v uniquely determined?
PassengerQueue.java
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Transcribed Image Text:SM 6. Consider the transformation from R? to R? determined by (x1, x2) → (yi, y2), where Zylr = K (*) Compute the Jacobian determinant of this transformation, and find the inverse (where it exists) by solving the system of equations in (*) for x1 and x2. Examine what the transformation does to the rectangle determined by 1 sxI S2, 1/2 s x2 2/3. Draw a figure! 7. Consider the linear transformation T: (x, y) → (u, v) from R² to R² determined by u = ax+by, v = cx + dy, where a, b, c, and d are constants, not all equal to 0. Suppose the Jacobian determinant of T is 0. Then, show that T maps the whole of R? onto a straight line through the origin of the uv-plane. SM 8. Consider the transformation T: R → R defined by T(r, 8) = (r cos 0 , r sin 0). (a) Compute the Jacobian determinant J of T. (b) Let A be the domain in the (r, 0) plane determined by 1 <rS2 and 0 e [0, k], where k > 27. Show that J 0 in the whole of A, yet T is not one-to-one in A. 9. Give sufficient conditions on f and g to ensure that the equations u = f(x, y), v = g(x, y) can be solved for x and y locally. Show that if the solutions are x = F (u, v), y = G(u, v), and if f, g, F, and G are C', then de %3D aG 8e I ne ne where J denotes the Jacobian determinant of f and g w.r.t u and v. M 10. (a) Consider the system of equations 1+ (x + y)u – (2 + u)'+v = 0 0 = (1-1)»³(Kx +1) – nz Use Theorem 2.7.2 to show that the system defines u and v as functions of x and y in an open ball around (x, y, u, v) = (1, 1, 1, 0). Find the values of the partial derivatives of the two functions w.r.t. x when x = 1, y = 1, u = 1, v = 0. (b) Let a and b be arbitrary numbers in the interval [0, 1]. Use the intermediate value theorem (see e. EMEA, Section 7.10) to show that the equation has a solution in the interval (0, 1]. Is the solution unique? (c) Show by using (b) that for any point (x, y), x e [0, 1], y e [0, 1], there exist solutions u and v of the system. Are u and v uniquely determined? PassengerQueue.java er.java Removed
f(x, y) are the m x m and m xn Jacobian matrices of f(x, y) with respect to y and x,
respectively. From (4) we can obviously find the partials of y1,... Ym with respect to x1,
..., Xn provided f(x, y) is invertible.
The matrix f,(x, y) is square. Its determinant is called the Jacobian determinant of
("S
a(yı..... Ym)
f(x, y) w.r.t. y and is commonly denoted by
In the argument leading to (4) we assumed that (2) defines y1, ..., ym as differenti-
able functions of x1, ., xn. The following theorem, one of the most important results in
mathematical analysis, gives sufficient conditions for this to be the case:
THEOREM 27.2 (THE IMPLICIT FUNCTION THEOREM GENERAL VERSION
Suppose f = (fı,.., fm) is a C' function of (x, y) in an open set A in R" × R",
and consider the m-dimensional vector equation f(x, y) = 0. Let (xº, yº) be an
interior point of A satisfying f(x, y) = 0. Suppose that the Jacobian determinant
of f w.r.t. y is different from 0 at (x°, yº), i.e.
#0 at (x, y) = (x°, yº)
(5)
a(yı, ...., Ym)
%3D
Then there exist open balls B1 in R" and B2 in R" around xº and yº, respectively,
with B1 x B2 C A, such that If (x, y)| # 0 in B1 × B2, and such that for each
x in B1 there is a unique y in B2 with f(x, y) = 0. In this way y is defined
"implicitly" on Bị as a Cl function g(x) of x. The Jacobian matrix y = g'(x) =
(ag: (x)/ax;) is
%3D
(9)
NOTE 1 Suppose fi,..., fm are C' functions of (x, y). Then the elements of the matrices
in (6) are all C'-l functions, and it follows that g = (g1, . .., gm) is C"
Transformations and Their Inverses
Many economic applications involve functions that map points (vectors) in R" to points
(vectors) in R™. Such functions are often called transformations or mappings. For ex-
ample, we are often interested in how an m-vector y of endogenous variables depends on
an n-vector x of exogenous variables, as in the implicit function theorem.
Consider a transformation f : A → B where A C R and BC R". Suppose the range
PassengerQueue.java
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|甲V9
Transcribed Image Text:f(x, y) are the m x m and m xn Jacobian matrices of f(x, y) with respect to y and x, respectively. From (4) we can obviously find the partials of y1,... Ym with respect to x1, ..., Xn provided f(x, y) is invertible. The matrix f,(x, y) is square. Its determinant is called the Jacobian determinant of ("S a(yı..... Ym) f(x, y) w.r.t. y and is commonly denoted by In the argument leading to (4) we assumed that (2) defines y1, ..., ym as differenti- able functions of x1, ., xn. The following theorem, one of the most important results in mathematical analysis, gives sufficient conditions for this to be the case: THEOREM 27.2 (THE IMPLICIT FUNCTION THEOREM GENERAL VERSION Suppose f = (fı,.., fm) is a C' function of (x, y) in an open set A in R" × R", and consider the m-dimensional vector equation f(x, y) = 0. Let (xº, yº) be an interior point of A satisfying f(x, y) = 0. Suppose that the Jacobian determinant of f w.r.t. y is different from 0 at (x°, yº), i.e. #0 at (x, y) = (x°, yº) (5) a(yı, ...., Ym) %3D Then there exist open balls B1 in R" and B2 in R" around xº and yº, respectively, with B1 x B2 C A, such that If (x, y)| # 0 in B1 × B2, and such that for each x in B1 there is a unique y in B2 with f(x, y) = 0. In this way y is defined "implicitly" on Bị as a Cl function g(x) of x. The Jacobian matrix y = g'(x) = (ag: (x)/ax;) is %3D (9) NOTE 1 Suppose fi,..., fm are C' functions of (x, y). Then the elements of the matrices in (6) are all C'-l functions, and it follows that g = (g1, . .., gm) is C" Transformations and Their Inverses Many economic applications involve functions that map points (vectors) in R" to points (vectors) in R™. Such functions are often called transformations or mappings. For ex- ample, we are often interested in how an m-vector y of endogenous variables depends on an n-vector x of exogenous variables, as in the implicit function theorem. Consider a transformation f : A → B where A C R and BC R". Suppose the range PassengerQueue.java Removed |甲V9
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