Lagrange multiplier constrictions equality
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if I have $f(x,y,z)=cdots $ and two constrictions $g(x,y,z)$ , $h(x,y,z)$
and I need to calculate the min/max etc.
(1) I know that I can do a Lagrange system with $5$ equations and $5$ variables.
(2) if I do two systems separately (one with $g(x,y,z)$ and the other one with $h(x,y,z)$) will it give me the same results as if I were to do them as point 1?
(3) if my $f(x,y,z)=z$ and let $g(x,y,z)$ be the constraint. Can I still do Lagrange multiplier even though $f_x=0$ and $f_y=0$ ?
multivariable-calculus lagrange-multiplier
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if I have $f(x,y,z)=cdots $ and two constrictions $g(x,y,z)$ , $h(x,y,z)$
and I need to calculate the min/max etc.
(1) I know that I can do a Lagrange system with $5$ equations and $5$ variables.
(2) if I do two systems separately (one with $g(x,y,z)$ and the other one with $h(x,y,z)$) will it give me the same results as if I were to do them as point 1?
(3) if my $f(x,y,z)=z$ and let $g(x,y,z)$ be the constraint. Can I still do Lagrange multiplier even though $f_x=0$ and $f_y=0$ ?
multivariable-calculus lagrange-multiplier
add a comment |Â
up vote
0
down vote
favorite
up vote
0
down vote
favorite
if I have $f(x,y,z)=cdots $ and two constrictions $g(x,y,z)$ , $h(x,y,z)$
and I need to calculate the min/max etc.
(1) I know that I can do a Lagrange system with $5$ equations and $5$ variables.
(2) if I do two systems separately (one with $g(x,y,z)$ and the other one with $h(x,y,z)$) will it give me the same results as if I were to do them as point 1?
(3) if my $f(x,y,z)=z$ and let $g(x,y,z)$ be the constraint. Can I still do Lagrange multiplier even though $f_x=0$ and $f_y=0$ ?
multivariable-calculus lagrange-multiplier
if I have $f(x,y,z)=cdots $ and two constrictions $g(x,y,z)$ , $h(x,y,z)$
and I need to calculate the min/max etc.
(1) I know that I can do a Lagrange system with $5$ equations and $5$ variables.
(2) if I do two systems separately (one with $g(x,y,z)$ and the other one with $h(x,y,z)$) will it give me the same results as if I were to do them as point 1?
(3) if my $f(x,y,z)=z$ and let $g(x,y,z)$ be the constraint. Can I still do Lagrange multiplier even though $f_x=0$ and $f_y=0$ ?
multivariable-calculus lagrange-multiplier
edited Jul 22 at 17:02
Michael Hardy
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204k23186462
asked Jul 22 at 15:27
NPLS
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1819
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(2) Of course not (in general). Suppose that $f(x,y,z)=x^2+y^2+z^2$, that the first constrain is $x=-1$ and that the second constrain is $y=-1$. If you solve two systems separately, then the solution of the first system will be $(-1,0,0)$, whereas the solution of the second one will be $(0,-1,0)$. None of these points belong to the line $x=y=-1$. The solution will be $(-1,-1,0)$, of course.
(3) Yes, you can.
In (3): that means that if I found a point is in the form (x,y,z)=(x,y,point_found) or (z)=(point_found) ? I originally asked that question becouse: lets assume I find a possible critical point (z)=(3) and I want to find if it is a max or min extrema , I procede doing the second derivate test ... But wait it doesn't work on f(x,y,z)=z because f_xx =0 = f_yy
â NPLS
Jul 22 at 16:53
But that test is for functions defined on an open set. That's not the case here.
â José Carlos Santos
Jul 22 at 17:02
Could you give me an example please? Because I really have trouble understanding the min/max of constrained functions like f(x,y,z)='one variable' , like f(x,y,z)=e^x , f(x,y,z)=y .
â NPLS
Jul 22 at 17:17
Suppose that your afte that maximum and the minimum of $z$ in the region $x^2+y^2+z^2=1$. Then you solve the system$$left{beginarrayl0=2lambda x\0=2lambda y\1=2lambda z\x^2+y^2+z^2=1.endarrayright.$$This system only has $2$ solutions: $(x,y,z,lambda)=pmleft(0,0,1,frac12right)$. So, you see what's the value of $z$ when $(x,y,z)=(0,0,pm1)$ and you deduce that the maximum and the minimum are attained at $(0,0,1)$ and at $(0,0,-1)$ respectively.
â José Carlos Santos
Jul 22 at 17:23
So in order to decide if it is a max or min I only have the 'deduction' method ?
â NPLS
Jul 22 at 17:34
 |Â
show 4 more comments
1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
up vote
0
down vote
accepted
(2) Of course not (in general). Suppose that $f(x,y,z)=x^2+y^2+z^2$, that the first constrain is $x=-1$ and that the second constrain is $y=-1$. If you solve two systems separately, then the solution of the first system will be $(-1,0,0)$, whereas the solution of the second one will be $(0,-1,0)$. None of these points belong to the line $x=y=-1$. The solution will be $(-1,-1,0)$, of course.
(3) Yes, you can.
In (3): that means that if I found a point is in the form (x,y,z)=(x,y,point_found) or (z)=(point_found) ? I originally asked that question becouse: lets assume I find a possible critical point (z)=(3) and I want to find if it is a max or min extrema , I procede doing the second derivate test ... But wait it doesn't work on f(x,y,z)=z because f_xx =0 = f_yy
â NPLS
Jul 22 at 16:53
But that test is for functions defined on an open set. That's not the case here.
â José Carlos Santos
Jul 22 at 17:02
Could you give me an example please? Because I really have trouble understanding the min/max of constrained functions like f(x,y,z)='one variable' , like f(x,y,z)=e^x , f(x,y,z)=y .
â NPLS
Jul 22 at 17:17
Suppose that your afte that maximum and the minimum of $z$ in the region $x^2+y^2+z^2=1$. Then you solve the system$$left{beginarrayl0=2lambda x\0=2lambda y\1=2lambda z\x^2+y^2+z^2=1.endarrayright.$$This system only has $2$ solutions: $(x,y,z,lambda)=pmleft(0,0,1,frac12right)$. So, you see what's the value of $z$ when $(x,y,z)=(0,0,pm1)$ and you deduce that the maximum and the minimum are attained at $(0,0,1)$ and at $(0,0,-1)$ respectively.
â José Carlos Santos
Jul 22 at 17:23
So in order to decide if it is a max or min I only have the 'deduction' method ?
â NPLS
Jul 22 at 17:34
 |Â
show 4 more comments
up vote
0
down vote
accepted
(2) Of course not (in general). Suppose that $f(x,y,z)=x^2+y^2+z^2$, that the first constrain is $x=-1$ and that the second constrain is $y=-1$. If you solve two systems separately, then the solution of the first system will be $(-1,0,0)$, whereas the solution of the second one will be $(0,-1,0)$. None of these points belong to the line $x=y=-1$. The solution will be $(-1,-1,0)$, of course.
(3) Yes, you can.
In (3): that means that if I found a point is in the form (x,y,z)=(x,y,point_found) or (z)=(point_found) ? I originally asked that question becouse: lets assume I find a possible critical point (z)=(3) and I want to find if it is a max or min extrema , I procede doing the second derivate test ... But wait it doesn't work on f(x,y,z)=z because f_xx =0 = f_yy
â NPLS
Jul 22 at 16:53
But that test is for functions defined on an open set. That's not the case here.
â José Carlos Santos
Jul 22 at 17:02
Could you give me an example please? Because I really have trouble understanding the min/max of constrained functions like f(x,y,z)='one variable' , like f(x,y,z)=e^x , f(x,y,z)=y .
â NPLS
Jul 22 at 17:17
Suppose that your afte that maximum and the minimum of $z$ in the region $x^2+y^2+z^2=1$. Then you solve the system$$left{beginarrayl0=2lambda x\0=2lambda y\1=2lambda z\x^2+y^2+z^2=1.endarrayright.$$This system only has $2$ solutions: $(x,y,z,lambda)=pmleft(0,0,1,frac12right)$. So, you see what's the value of $z$ when $(x,y,z)=(0,0,pm1)$ and you deduce that the maximum and the minimum are attained at $(0,0,1)$ and at $(0,0,-1)$ respectively.
â José Carlos Santos
Jul 22 at 17:23
So in order to decide if it is a max or min I only have the 'deduction' method ?
â NPLS
Jul 22 at 17:34
 |Â
show 4 more comments
up vote
0
down vote
accepted
up vote
0
down vote
accepted
(2) Of course not (in general). Suppose that $f(x,y,z)=x^2+y^2+z^2$, that the first constrain is $x=-1$ and that the second constrain is $y=-1$. If you solve two systems separately, then the solution of the first system will be $(-1,0,0)$, whereas the solution of the second one will be $(0,-1,0)$. None of these points belong to the line $x=y=-1$. The solution will be $(-1,-1,0)$, of course.
(3) Yes, you can.
(2) Of course not (in general). Suppose that $f(x,y,z)=x^2+y^2+z^2$, that the first constrain is $x=-1$ and that the second constrain is $y=-1$. If you solve two systems separately, then the solution of the first system will be $(-1,0,0)$, whereas the solution of the second one will be $(0,-1,0)$. None of these points belong to the line $x=y=-1$. The solution will be $(-1,-1,0)$, of course.
(3) Yes, you can.
edited Jul 22 at 17:01
answered Jul 22 at 15:32
José Carlos Santos
113k1698176
113k1698176
In (3): that means that if I found a point is in the form (x,y,z)=(x,y,point_found) or (z)=(point_found) ? I originally asked that question becouse: lets assume I find a possible critical point (z)=(3) and I want to find if it is a max or min extrema , I procede doing the second derivate test ... But wait it doesn't work on f(x,y,z)=z because f_xx =0 = f_yy
â NPLS
Jul 22 at 16:53
But that test is for functions defined on an open set. That's not the case here.
â José Carlos Santos
Jul 22 at 17:02
Could you give me an example please? Because I really have trouble understanding the min/max of constrained functions like f(x,y,z)='one variable' , like f(x,y,z)=e^x , f(x,y,z)=y .
â NPLS
Jul 22 at 17:17
Suppose that your afte that maximum and the minimum of $z$ in the region $x^2+y^2+z^2=1$. Then you solve the system$$left{beginarrayl0=2lambda x\0=2lambda y\1=2lambda z\x^2+y^2+z^2=1.endarrayright.$$This system only has $2$ solutions: $(x,y,z,lambda)=pmleft(0,0,1,frac12right)$. So, you see what's the value of $z$ when $(x,y,z)=(0,0,pm1)$ and you deduce that the maximum and the minimum are attained at $(0,0,1)$ and at $(0,0,-1)$ respectively.
â José Carlos Santos
Jul 22 at 17:23
So in order to decide if it is a max or min I only have the 'deduction' method ?
â NPLS
Jul 22 at 17:34
 |Â
show 4 more comments
In (3): that means that if I found a point is in the form (x,y,z)=(x,y,point_found) or (z)=(point_found) ? I originally asked that question becouse: lets assume I find a possible critical point (z)=(3) and I want to find if it is a max or min extrema , I procede doing the second derivate test ... But wait it doesn't work on f(x,y,z)=z because f_xx =0 = f_yy
â NPLS
Jul 22 at 16:53
But that test is for functions defined on an open set. That's not the case here.
â José Carlos Santos
Jul 22 at 17:02
Could you give me an example please? Because I really have trouble understanding the min/max of constrained functions like f(x,y,z)='one variable' , like f(x,y,z)=e^x , f(x,y,z)=y .
â NPLS
Jul 22 at 17:17
Suppose that your afte that maximum and the minimum of $z$ in the region $x^2+y^2+z^2=1$. Then you solve the system$$left{beginarrayl0=2lambda x\0=2lambda y\1=2lambda z\x^2+y^2+z^2=1.endarrayright.$$This system only has $2$ solutions: $(x,y,z,lambda)=pmleft(0,0,1,frac12right)$. So, you see what's the value of $z$ when $(x,y,z)=(0,0,pm1)$ and you deduce that the maximum and the minimum are attained at $(0,0,1)$ and at $(0,0,-1)$ respectively.
â José Carlos Santos
Jul 22 at 17:23
So in order to decide if it is a max or min I only have the 'deduction' method ?
â NPLS
Jul 22 at 17:34
In (3): that means that if I found a point is in the form (x,y,z)=(x,y,point_found) or (z)=(point_found) ? I originally asked that question becouse: lets assume I find a possible critical point (z)=(3) and I want to find if it is a max or min extrema , I procede doing the second derivate test ... But wait it doesn't work on f(x,y,z)=z because f_xx =0 = f_yy
â NPLS
Jul 22 at 16:53
In (3): that means that if I found a point is in the form (x,y,z)=(x,y,point_found) or (z)=(point_found) ? I originally asked that question becouse: lets assume I find a possible critical point (z)=(3) and I want to find if it is a max or min extrema , I procede doing the second derivate test ... But wait it doesn't work on f(x,y,z)=z because f_xx =0 = f_yy
â NPLS
Jul 22 at 16:53
But that test is for functions defined on an open set. That's not the case here.
â José Carlos Santos
Jul 22 at 17:02
But that test is for functions defined on an open set. That's not the case here.
â José Carlos Santos
Jul 22 at 17:02
Could you give me an example please? Because I really have trouble understanding the min/max of constrained functions like f(x,y,z)='one variable' , like f(x,y,z)=e^x , f(x,y,z)=y .
â NPLS
Jul 22 at 17:17
Could you give me an example please? Because I really have trouble understanding the min/max of constrained functions like f(x,y,z)='one variable' , like f(x,y,z)=e^x , f(x,y,z)=y .
â NPLS
Jul 22 at 17:17
Suppose that your afte that maximum and the minimum of $z$ in the region $x^2+y^2+z^2=1$. Then you solve the system$$left{beginarrayl0=2lambda x\0=2lambda y\1=2lambda z\x^2+y^2+z^2=1.endarrayright.$$This system only has $2$ solutions: $(x,y,z,lambda)=pmleft(0,0,1,frac12right)$. So, you see what's the value of $z$ when $(x,y,z)=(0,0,pm1)$ and you deduce that the maximum and the minimum are attained at $(0,0,1)$ and at $(0,0,-1)$ respectively.
â José Carlos Santos
Jul 22 at 17:23
Suppose that your afte that maximum and the minimum of $z$ in the region $x^2+y^2+z^2=1$. Then you solve the system$$left{beginarrayl0=2lambda x\0=2lambda y\1=2lambda z\x^2+y^2+z^2=1.endarrayright.$$This system only has $2$ solutions: $(x,y,z,lambda)=pmleft(0,0,1,frac12right)$. So, you see what's the value of $z$ when $(x,y,z)=(0,0,pm1)$ and you deduce that the maximum and the minimum are attained at $(0,0,1)$ and at $(0,0,-1)$ respectively.
â José Carlos Santos
Jul 22 at 17:23
So in order to decide if it is a max or min I only have the 'deduction' method ?
â NPLS
Jul 22 at 17:34
So in order to decide if it is a max or min I only have the 'deduction' method ?
â NPLS
Jul 22 at 17:34
 |Â
show 4 more comments
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