Langrarian multiplier [closed]
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Consider the following function
$$f(x, y)=x^4-y^2$$
And Set $A=(x,y)in R^2: x^2+y^2=1$
is required.
- find the Lagrangian equation that determines the extreme point of $F$ on $A$ and calculates the solution for this equation.
- characterize the above equation into local maxima and minima.
- using second order condition explain if there are global maxima and minima.
karush-kuhn-tucker
closed as off-topic by amWhy, LinAlg, John Ma, José Carlos Santos, Adrian Keister Aug 2 at 0:16
This question appears to be off-topic. The users who voted to close gave this specific reason:
- "This question is missing context or other details: Please improve the question by providing additional context, which ideally includes your thoughts on the problem and any attempts you have made to solve it. This information helps others identify where you have difficulties and helps them write answers appropriate to your experience level." – amWhy, LinAlg, John Ma, José Carlos Santos, Adrian Keister
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Consider the following function
$$f(x, y)=x^4-y^2$$
And Set $A=(x,y)in R^2: x^2+y^2=1$
is required.
- find the Lagrangian equation that determines the extreme point of $F$ on $A$ and calculates the solution for this equation.
- characterize the above equation into local maxima and minima.
- using second order condition explain if there are global maxima and minima.
karush-kuhn-tucker
closed as off-topic by amWhy, LinAlg, John Ma, José Carlos Santos, Adrian Keister Aug 2 at 0:16
This question appears to be off-topic. The users who voted to close gave this specific reason:
- "This question is missing context or other details: Please improve the question by providing additional context, which ideally includes your thoughts on the problem and any attempts you have made to solve it. This information helps others identify where you have difficulties and helps them write answers appropriate to your experience level." – amWhy, LinAlg, John Ma, José Carlos Santos, Adrian Keister
2
Welcome to MSE. It will be more likely that you will get an answer if you show us that you made an effort. This should be added to the question rather than in the comments.
– José Carlos Santos
Aug 1 at 14:32
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up vote
-1
down vote
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up vote
-1
down vote
favorite
Consider the following function
$$f(x, y)=x^4-y^2$$
And Set $A=(x,y)in R^2: x^2+y^2=1$
is required.
- find the Lagrangian equation that determines the extreme point of $F$ on $A$ and calculates the solution for this equation.
- characterize the above equation into local maxima and minima.
- using second order condition explain if there are global maxima and minima.
karush-kuhn-tucker
Consider the following function
$$f(x, y)=x^4-y^2$$
And Set $A=(x,y)in R^2: x^2+y^2=1$
is required.
- find the Lagrangian equation that determines the extreme point of $F$ on $A$ and calculates the solution for this equation.
- characterize the above equation into local maxima and minima.
- using second order condition explain if there are global maxima and minima.
karush-kuhn-tucker
edited Aug 1 at 15:17
Botond
3,8762632
3,8762632
asked Aug 1 at 14:29


RudY the Heck
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42
closed as off-topic by amWhy, LinAlg, John Ma, José Carlos Santos, Adrian Keister Aug 2 at 0:16
This question appears to be off-topic. The users who voted to close gave this specific reason:
- "This question is missing context or other details: Please improve the question by providing additional context, which ideally includes your thoughts on the problem and any attempts you have made to solve it. This information helps others identify where you have difficulties and helps them write answers appropriate to your experience level." – amWhy, LinAlg, John Ma, José Carlos Santos, Adrian Keister
closed as off-topic by amWhy, LinAlg, John Ma, José Carlos Santos, Adrian Keister Aug 2 at 0:16
This question appears to be off-topic. The users who voted to close gave this specific reason:
- "This question is missing context or other details: Please improve the question by providing additional context, which ideally includes your thoughts on the problem and any attempts you have made to solve it. This information helps others identify where you have difficulties and helps them write answers appropriate to your experience level." – amWhy, LinAlg, John Ma, José Carlos Santos, Adrian Keister
2
Welcome to MSE. It will be more likely that you will get an answer if you show us that you made an effort. This should be added to the question rather than in the comments.
– José Carlos Santos
Aug 1 at 14:32
add a comment |Â
2
Welcome to MSE. It will be more likely that you will get an answer if you show us that you made an effort. This should be added to the question rather than in the comments.
– José Carlos Santos
Aug 1 at 14:32
2
2
Welcome to MSE. It will be more likely that you will get an answer if you show us that you made an effort. This should be added to the question rather than in the comments.
– José Carlos Santos
Aug 1 at 14:32
Welcome to MSE. It will be more likely that you will get an answer if you show us that you made an effort. This should be added to the question rather than in the comments.
– José Carlos Santos
Aug 1 at 14:32
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2 Answers
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$nabla (x^4 - y^2) = nabla(lambda(x^2+y^2 - 1))$
$4x^3 = 2lambda x\
-2y = 2lambda y$
From the second equation we get: $lambda = -1 text or y = 0$
if $lambda = -1\
4x^3 = -2x\
x = 0$
Maxima -- $(1,0),(-1,0)$
Minima -- $(0,1),(0,-1)$
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We know that $$nabla f=(4x^3,-2y)$$and$$c(x,y)=x^2+y^2-1=0$$therefore the Lagrangian would be $$L(x,y)=nabla f+lambdanabla c=(4x^3,-2y)+lambda(2x,2y)$$also the Hessian of the function is $$H_f=beginbmatrix12x^2&0\0&-2endbmatrix$$for finding maxima and minima we have $$4x^3=2lambda x\-2y=2lambda y$$if $y=0$ we have $x=pm 1$ and $lambda=2$. The only feasible direction in these points is $vec d=(0,d_2)$ for any $d_2inBbb R-0$ from the other side$$dH_f(pm 1,0)d^T=-2d_2^2<0$$which means that the points $(pm 1,0)$ are local maxima.
If $lambda=-1$ we obtain $$4x^3=-2x$$ the only possible candidates are $(0,pm 1)$ that both are local minima similarly. Here is a sketch:
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2 Answers
2
active
oldest
votes
2 Answers
2
active
oldest
votes
active
oldest
votes
active
oldest
votes
up vote
1
down vote
$nabla (x^4 - y^2) = nabla(lambda(x^2+y^2 - 1))$
$4x^3 = 2lambda x\
-2y = 2lambda y$
From the second equation we get: $lambda = -1 text or y = 0$
if $lambda = -1\
4x^3 = -2x\
x = 0$
Maxima -- $(1,0),(-1,0)$
Minima -- $(0,1),(0,-1)$
add a comment |Â
up vote
1
down vote
$nabla (x^4 - y^2) = nabla(lambda(x^2+y^2 - 1))$
$4x^3 = 2lambda x\
-2y = 2lambda y$
From the second equation we get: $lambda = -1 text or y = 0$
if $lambda = -1\
4x^3 = -2x\
x = 0$
Maxima -- $(1,0),(-1,0)$
Minima -- $(0,1),(0,-1)$
add a comment |Â
up vote
1
down vote
up vote
1
down vote
$nabla (x^4 - y^2) = nabla(lambda(x^2+y^2 - 1))$
$4x^3 = 2lambda x\
-2y = 2lambda y$
From the second equation we get: $lambda = -1 text or y = 0$
if $lambda = -1\
4x^3 = -2x\
x = 0$
Maxima -- $(1,0),(-1,0)$
Minima -- $(0,1),(0,-1)$
$nabla (x^4 - y^2) = nabla(lambda(x^2+y^2 - 1))$
$4x^3 = 2lambda x\
-2y = 2lambda y$
From the second equation we get: $lambda = -1 text or y = 0$
if $lambda = -1\
4x^3 = -2x\
x = 0$
Maxima -- $(1,0),(-1,0)$
Minima -- $(0,1),(0,-1)$
answered Aug 1 at 15:13
Doug M
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We know that $$nabla f=(4x^3,-2y)$$and$$c(x,y)=x^2+y^2-1=0$$therefore the Lagrangian would be $$L(x,y)=nabla f+lambdanabla c=(4x^3,-2y)+lambda(2x,2y)$$also the Hessian of the function is $$H_f=beginbmatrix12x^2&0\0&-2endbmatrix$$for finding maxima and minima we have $$4x^3=2lambda x\-2y=2lambda y$$if $y=0$ we have $x=pm 1$ and $lambda=2$. The only feasible direction in these points is $vec d=(0,d_2)$ for any $d_2inBbb R-0$ from the other side$$dH_f(pm 1,0)d^T=-2d_2^2<0$$which means that the points $(pm 1,0)$ are local maxima.
If $lambda=-1$ we obtain $$4x^3=-2x$$ the only possible candidates are $(0,pm 1)$ that both are local minima similarly. Here is a sketch:
add a comment |Â
up vote
0
down vote
We know that $$nabla f=(4x^3,-2y)$$and$$c(x,y)=x^2+y^2-1=0$$therefore the Lagrangian would be $$L(x,y)=nabla f+lambdanabla c=(4x^3,-2y)+lambda(2x,2y)$$also the Hessian of the function is $$H_f=beginbmatrix12x^2&0\0&-2endbmatrix$$for finding maxima and minima we have $$4x^3=2lambda x\-2y=2lambda y$$if $y=0$ we have $x=pm 1$ and $lambda=2$. The only feasible direction in these points is $vec d=(0,d_2)$ for any $d_2inBbb R-0$ from the other side$$dH_f(pm 1,0)d^T=-2d_2^2<0$$which means that the points $(pm 1,0)$ are local maxima.
If $lambda=-1$ we obtain $$4x^3=-2x$$ the only possible candidates are $(0,pm 1)$ that both are local minima similarly. Here is a sketch:
add a comment |Â
up vote
0
down vote
up vote
0
down vote
We know that $$nabla f=(4x^3,-2y)$$and$$c(x,y)=x^2+y^2-1=0$$therefore the Lagrangian would be $$L(x,y)=nabla f+lambdanabla c=(4x^3,-2y)+lambda(2x,2y)$$also the Hessian of the function is $$H_f=beginbmatrix12x^2&0\0&-2endbmatrix$$for finding maxima and minima we have $$4x^3=2lambda x\-2y=2lambda y$$if $y=0$ we have $x=pm 1$ and $lambda=2$. The only feasible direction in these points is $vec d=(0,d_2)$ for any $d_2inBbb R-0$ from the other side$$dH_f(pm 1,0)d^T=-2d_2^2<0$$which means that the points $(pm 1,0)$ are local maxima.
If $lambda=-1$ we obtain $$4x^3=-2x$$ the only possible candidates are $(0,pm 1)$ that both are local minima similarly. Here is a sketch:
We know that $$nabla f=(4x^3,-2y)$$and$$c(x,y)=x^2+y^2-1=0$$therefore the Lagrangian would be $$L(x,y)=nabla f+lambdanabla c=(4x^3,-2y)+lambda(2x,2y)$$also the Hessian of the function is $$H_f=beginbmatrix12x^2&0\0&-2endbmatrix$$for finding maxima and minima we have $$4x^3=2lambda x\-2y=2lambda y$$if $y=0$ we have $x=pm 1$ and $lambda=2$. The only feasible direction in these points is $vec d=(0,d_2)$ for any $d_2inBbb R-0$ from the other side$$dH_f(pm 1,0)d^T=-2d_2^2<0$$which means that the points $(pm 1,0)$ are local maxima.
If $lambda=-1$ we obtain $$4x^3=-2x$$ the only possible candidates are $(0,pm 1)$ that both are local minima similarly. Here is a sketch:
answered Aug 1 at 18:32


Mostafa Ayaz
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8,5183630
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Welcome to MSE. It will be more likely that you will get an answer if you show us that you made an effort. This should be added to the question rather than in the comments.
– José Carlos Santos
Aug 1 at 14:32