Extrema of $5x^2+7y^2-14xy$ on $D:=(x,y)in mathbbR^2:sup(x,y) le 1$
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I want to determine the extrema of $5x^2+7y^2-14xy$ on $D:=left(x,y)in mathbbR^2:max(x,y) le 1right$.
We didn't learn about Lagrange multipliers yet so I would like to solve this problem without them.
It seems obvious that the extrema have to be at $x=y=0$ and $x=y=1$ but how can I reason this?
calculus multivariable-calculus optimization
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I want to determine the extrema of $5x^2+7y^2-14xy$ on $D:=left(x,y)in mathbbR^2:max(x,y) le 1right$.
We didn't learn about Lagrange multipliers yet so I would like to solve this problem without them.
It seems obvious that the extrema have to be at $x=y=0$ and $x=y=1$ but how can I reason this?
calculus multivariable-calculus optimization
add a comment |Â
up vote
0
down vote
favorite
up vote
0
down vote
favorite
I want to determine the extrema of $5x^2+7y^2-14xy$ on $D:=left(x,y)in mathbbR^2:max(x,y) le 1right$.
We didn't learn about Lagrange multipliers yet so I would like to solve this problem without them.
It seems obvious that the extrema have to be at $x=y=0$ and $x=y=1$ but how can I reason this?
calculus multivariable-calculus optimization
I want to determine the extrema of $5x^2+7y^2-14xy$ on $D:=left(x,y)in mathbbR^2:max(x,y) le 1right$.
We didn't learn about Lagrange multipliers yet so I would like to solve this problem without them.
It seems obvious that the extrema have to be at $x=y=0$ and $x=y=1$ but how can I reason this?
calculus multivariable-calculus optimization
edited Aug 25 at 11:04
Stefan4024
29.5k53377
29.5k53377
asked Aug 25 at 9:30
user586087
635
635
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add a comment |Â
1 Answer
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You don't need the Lagrange multipliers. All you need is to find the critical points, check the points on the boundary, as well as any singular points. Obviously there aren't any singular points and we first try to find the critical ones. Let $f(x,y) = 5x^2 + 7y^2 - 14xy$, then we have:
$$f_x = 10x - 14y quad quad f_y = 14y - 14x = 0$$
Equating them to zero we get that $14x = 14y = 10x$ and so $x= y= 0$
Now for the boundary first plug in $x=1$ and treat the function as a single variable function by letting $g(y) = f(1,y)$. Then we have:
$$g'(y) = 14y - 14$$
Equating it to zero we get that $y = 1$. Now do the same by setting $x=1$ and $h(x) = f(x,1)$ to get:
$$h'(x) = 10x - 14$$
This yields that $x=frac75$, however this isn't posible, as $xle 1$. Thus you only need to check the points $(0,0)$ and $(1,1)$. Now to determine the nature of the $(0,0)$ you could apply the second derivative test and you'll get that:
$$H_f =beginvmatrix
f_xx & f_xy \
f_yx & f_yy \
endvmatrix = beginvmatrix
10 & -14 \
-14 & 14 \
endvmatrix = - 56$$
As $H_f < 0$ we get that $(0,0)$ is a saddle point. To determine the nature of the point $(1,1)$ you need to apply the second derivative to $g(y)$. As $g''(y) = 14 > 0$ we get that at $(1,1)$ f attains a local minimum.
It is true that $f$ attains a local minimum at $(1,1)$. But the second derivative test can only be applied at interior points of the domain.
â Christian Blatter
Aug 25 at 14:01
@ChristianBlatter How can it be shown otherwise?
â user586087
Aug 25 at 15:25
@ChristianBlatter We can apply the second derivative test on $g(x)$ on the whole real line. It's not hard to see that $g(1)$ is the minimal value.
â Stefan4024
Aug 25 at 16:11
add a comment |Â
1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
up vote
0
down vote
You don't need the Lagrange multipliers. All you need is to find the critical points, check the points on the boundary, as well as any singular points. Obviously there aren't any singular points and we first try to find the critical ones. Let $f(x,y) = 5x^2 + 7y^2 - 14xy$, then we have:
$$f_x = 10x - 14y quad quad f_y = 14y - 14x = 0$$
Equating them to zero we get that $14x = 14y = 10x$ and so $x= y= 0$
Now for the boundary first plug in $x=1$ and treat the function as a single variable function by letting $g(y) = f(1,y)$. Then we have:
$$g'(y) = 14y - 14$$
Equating it to zero we get that $y = 1$. Now do the same by setting $x=1$ and $h(x) = f(x,1)$ to get:
$$h'(x) = 10x - 14$$
This yields that $x=frac75$, however this isn't posible, as $xle 1$. Thus you only need to check the points $(0,0)$ and $(1,1)$. Now to determine the nature of the $(0,0)$ you could apply the second derivative test and you'll get that:
$$H_f =beginvmatrix
f_xx & f_xy \
f_yx & f_yy \
endvmatrix = beginvmatrix
10 & -14 \
-14 & 14 \
endvmatrix = - 56$$
As $H_f < 0$ we get that $(0,0)$ is a saddle point. To determine the nature of the point $(1,1)$ you need to apply the second derivative to $g(y)$. As $g''(y) = 14 > 0$ we get that at $(1,1)$ f attains a local minimum.
It is true that $f$ attains a local minimum at $(1,1)$. But the second derivative test can only be applied at interior points of the domain.
â Christian Blatter
Aug 25 at 14:01
@ChristianBlatter How can it be shown otherwise?
â user586087
Aug 25 at 15:25
@ChristianBlatter We can apply the second derivative test on $g(x)$ on the whole real line. It's not hard to see that $g(1)$ is the minimal value.
â Stefan4024
Aug 25 at 16:11
add a comment |Â
up vote
0
down vote
You don't need the Lagrange multipliers. All you need is to find the critical points, check the points on the boundary, as well as any singular points. Obviously there aren't any singular points and we first try to find the critical ones. Let $f(x,y) = 5x^2 + 7y^2 - 14xy$, then we have:
$$f_x = 10x - 14y quad quad f_y = 14y - 14x = 0$$
Equating them to zero we get that $14x = 14y = 10x$ and so $x= y= 0$
Now for the boundary first plug in $x=1$ and treat the function as a single variable function by letting $g(y) = f(1,y)$. Then we have:
$$g'(y) = 14y - 14$$
Equating it to zero we get that $y = 1$. Now do the same by setting $x=1$ and $h(x) = f(x,1)$ to get:
$$h'(x) = 10x - 14$$
This yields that $x=frac75$, however this isn't posible, as $xle 1$. Thus you only need to check the points $(0,0)$ and $(1,1)$. Now to determine the nature of the $(0,0)$ you could apply the second derivative test and you'll get that:
$$H_f =beginvmatrix
f_xx & f_xy \
f_yx & f_yy \
endvmatrix = beginvmatrix
10 & -14 \
-14 & 14 \
endvmatrix = - 56$$
As $H_f < 0$ we get that $(0,0)$ is a saddle point. To determine the nature of the point $(1,1)$ you need to apply the second derivative to $g(y)$. As $g''(y) = 14 > 0$ we get that at $(1,1)$ f attains a local minimum.
It is true that $f$ attains a local minimum at $(1,1)$. But the second derivative test can only be applied at interior points of the domain.
â Christian Blatter
Aug 25 at 14:01
@ChristianBlatter How can it be shown otherwise?
â user586087
Aug 25 at 15:25
@ChristianBlatter We can apply the second derivative test on $g(x)$ on the whole real line. It's not hard to see that $g(1)$ is the minimal value.
â Stefan4024
Aug 25 at 16:11
add a comment |Â
up vote
0
down vote
up vote
0
down vote
You don't need the Lagrange multipliers. All you need is to find the critical points, check the points on the boundary, as well as any singular points. Obviously there aren't any singular points and we first try to find the critical ones. Let $f(x,y) = 5x^2 + 7y^2 - 14xy$, then we have:
$$f_x = 10x - 14y quad quad f_y = 14y - 14x = 0$$
Equating them to zero we get that $14x = 14y = 10x$ and so $x= y= 0$
Now for the boundary first plug in $x=1$ and treat the function as a single variable function by letting $g(y) = f(1,y)$. Then we have:
$$g'(y) = 14y - 14$$
Equating it to zero we get that $y = 1$. Now do the same by setting $x=1$ and $h(x) = f(x,1)$ to get:
$$h'(x) = 10x - 14$$
This yields that $x=frac75$, however this isn't posible, as $xle 1$. Thus you only need to check the points $(0,0)$ and $(1,1)$. Now to determine the nature of the $(0,0)$ you could apply the second derivative test and you'll get that:
$$H_f =beginvmatrix
f_xx & f_xy \
f_yx & f_yy \
endvmatrix = beginvmatrix
10 & -14 \
-14 & 14 \
endvmatrix = - 56$$
As $H_f < 0$ we get that $(0,0)$ is a saddle point. To determine the nature of the point $(1,1)$ you need to apply the second derivative to $g(y)$. As $g''(y) = 14 > 0$ we get that at $(1,1)$ f attains a local minimum.
You don't need the Lagrange multipliers. All you need is to find the critical points, check the points on the boundary, as well as any singular points. Obviously there aren't any singular points and we first try to find the critical ones. Let $f(x,y) = 5x^2 + 7y^2 - 14xy$, then we have:
$$f_x = 10x - 14y quad quad f_y = 14y - 14x = 0$$
Equating them to zero we get that $14x = 14y = 10x$ and so $x= y= 0$
Now for the boundary first plug in $x=1$ and treat the function as a single variable function by letting $g(y) = f(1,y)$. Then we have:
$$g'(y) = 14y - 14$$
Equating it to zero we get that $y = 1$. Now do the same by setting $x=1$ and $h(x) = f(x,1)$ to get:
$$h'(x) = 10x - 14$$
This yields that $x=frac75$, however this isn't posible, as $xle 1$. Thus you only need to check the points $(0,0)$ and $(1,1)$. Now to determine the nature of the $(0,0)$ you could apply the second derivative test and you'll get that:
$$H_f =beginvmatrix
f_xx & f_xy \
f_yx & f_yy \
endvmatrix = beginvmatrix
10 & -14 \
-14 & 14 \
endvmatrix = - 56$$
As $H_f < 0$ we get that $(0,0)$ is a saddle point. To determine the nature of the point $(1,1)$ you need to apply the second derivative to $g(y)$. As $g''(y) = 14 > 0$ we get that at $(1,1)$ f attains a local minimum.
answered Aug 25 at 11:03
Stefan4024
29.5k53377
29.5k53377
It is true that $f$ attains a local minimum at $(1,1)$. But the second derivative test can only be applied at interior points of the domain.
â Christian Blatter
Aug 25 at 14:01
@ChristianBlatter How can it be shown otherwise?
â user586087
Aug 25 at 15:25
@ChristianBlatter We can apply the second derivative test on $g(x)$ on the whole real line. It's not hard to see that $g(1)$ is the minimal value.
â Stefan4024
Aug 25 at 16:11
add a comment |Â
It is true that $f$ attains a local minimum at $(1,1)$. But the second derivative test can only be applied at interior points of the domain.
â Christian Blatter
Aug 25 at 14:01
@ChristianBlatter How can it be shown otherwise?
â user586087
Aug 25 at 15:25
@ChristianBlatter We can apply the second derivative test on $g(x)$ on the whole real line. It's not hard to see that $g(1)$ is the minimal value.
â Stefan4024
Aug 25 at 16:11
It is true that $f$ attains a local minimum at $(1,1)$. But the second derivative test can only be applied at interior points of the domain.
â Christian Blatter
Aug 25 at 14:01
It is true that $f$ attains a local minimum at $(1,1)$. But the second derivative test can only be applied at interior points of the domain.
â Christian Blatter
Aug 25 at 14:01
@ChristianBlatter How can it be shown otherwise?
â user586087
Aug 25 at 15:25
@ChristianBlatter How can it be shown otherwise?
â user586087
Aug 25 at 15:25
@ChristianBlatter We can apply the second derivative test on $g(x)$ on the whole real line. It's not hard to see that $g(1)$ is the minimal value.
â Stefan4024
Aug 25 at 16:11
@ChristianBlatter We can apply the second derivative test on $g(x)$ on the whole real line. It's not hard to see that $g(1)$ is the minimal value.
â Stefan4024
Aug 25 at 16:11
add a comment |Â
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