Find the maximum and minimum (there are four in total) that the function $f(x,y)=3xy$ achieves when $(x,y)$...
$begingroup$
Find the maximum and minimum (there are four in total) that the function $f(x,y)=3xy$ achieves when $(x,y)$ travel the ellipse $x^2+y^2+xy=3$
I have thought about doing the following but I do not know if I am doing the right thing:
I'm using Lagrange multipliers and I start with $bigtriangledown f=lambdabigtriangledown g$, so from this I get $(3y,3x)=lambda(2x+y,2y+x)$ so $lambda=frac{3y}{2x+y}$ and $lambda=frac{3x}{2y+x}$ so $frac{3y}{2x+y}=frac{3x}{2y+x}$ so $x^2=y^2$ so $y=pm x$. So, I get to that $(0,0), (1,1), (-1,-1), (sqrt{3},-sqrt{3})$ and $(-sqrt{3},sqrt{3})$ are critical points, the problem is that I do not know how to determine if they are maximum or minimum, how can I do this? Thank you.
real-analysis multivariable-calculus optimization lagrange-multiplier maxima-minima
$endgroup$
add a comment |
$begingroup$
Find the maximum and minimum (there are four in total) that the function $f(x,y)=3xy$ achieves when $(x,y)$ travel the ellipse $x^2+y^2+xy=3$
I have thought about doing the following but I do not know if I am doing the right thing:
I'm using Lagrange multipliers and I start with $bigtriangledown f=lambdabigtriangledown g$, so from this I get $(3y,3x)=lambda(2x+y,2y+x)$ so $lambda=frac{3y}{2x+y}$ and $lambda=frac{3x}{2y+x}$ so $frac{3y}{2x+y}=frac{3x}{2y+x}$ so $x^2=y^2$ so $y=pm x$. So, I get to that $(0,0), (1,1), (-1,-1), (sqrt{3},-sqrt{3})$ and $(-sqrt{3},sqrt{3})$ are critical points, the problem is that I do not know how to determine if they are maximum or minimum, how can I do this? Thank you.
real-analysis multivariable-calculus optimization lagrange-multiplier maxima-minima
$endgroup$
2
$begingroup$
Just compute f at those 4 points. Btw, (0,0) is not on the ellipse.
$endgroup$
– Martin R
Jan 4 at 4:10
$begingroup$
@MartinR Is what I did fine?
$endgroup$
– Nash
Jan 4 at 20:55
add a comment |
$begingroup$
Find the maximum and minimum (there are four in total) that the function $f(x,y)=3xy$ achieves when $(x,y)$ travel the ellipse $x^2+y^2+xy=3$
I have thought about doing the following but I do not know if I am doing the right thing:
I'm using Lagrange multipliers and I start with $bigtriangledown f=lambdabigtriangledown g$, so from this I get $(3y,3x)=lambda(2x+y,2y+x)$ so $lambda=frac{3y}{2x+y}$ and $lambda=frac{3x}{2y+x}$ so $frac{3y}{2x+y}=frac{3x}{2y+x}$ so $x^2=y^2$ so $y=pm x$. So, I get to that $(0,0), (1,1), (-1,-1), (sqrt{3},-sqrt{3})$ and $(-sqrt{3},sqrt{3})$ are critical points, the problem is that I do not know how to determine if they are maximum or minimum, how can I do this? Thank you.
real-analysis multivariable-calculus optimization lagrange-multiplier maxima-minima
$endgroup$
Find the maximum and minimum (there are four in total) that the function $f(x,y)=3xy$ achieves when $(x,y)$ travel the ellipse $x^2+y^2+xy=3$
I have thought about doing the following but I do not know if I am doing the right thing:
I'm using Lagrange multipliers and I start with $bigtriangledown f=lambdabigtriangledown g$, so from this I get $(3y,3x)=lambda(2x+y,2y+x)$ so $lambda=frac{3y}{2x+y}$ and $lambda=frac{3x}{2y+x}$ so $frac{3y}{2x+y}=frac{3x}{2y+x}$ so $x^2=y^2$ so $y=pm x$. So, I get to that $(0,0), (1,1), (-1,-1), (sqrt{3},-sqrt{3})$ and $(-sqrt{3},sqrt{3})$ are critical points, the problem is that I do not know how to determine if they are maximum or minimum, how can I do this? Thank you.
real-analysis multivariable-calculus optimization lagrange-multiplier maxima-minima
real-analysis multivariable-calculus optimization lagrange-multiplier maxima-minima
edited Jan 4 at 7:20
Michael Rozenberg
101k1591193
101k1591193
asked Jan 4 at 3:47
NashNash
58049
58049
2
$begingroup$
Just compute f at those 4 points. Btw, (0,0) is not on the ellipse.
$endgroup$
– Martin R
Jan 4 at 4:10
$begingroup$
@MartinR Is what I did fine?
$endgroup$
– Nash
Jan 4 at 20:55
add a comment |
2
$begingroup$
Just compute f at those 4 points. Btw, (0,0) is not on the ellipse.
$endgroup$
– Martin R
Jan 4 at 4:10
$begingroup$
@MartinR Is what I did fine?
$endgroup$
– Nash
Jan 4 at 20:55
2
2
$begingroup$
Just compute f at those 4 points. Btw, (0,0) is not on the ellipse.
$endgroup$
– Martin R
Jan 4 at 4:10
$begingroup$
Just compute f at those 4 points. Btw, (0,0) is not on the ellipse.
$endgroup$
– Martin R
Jan 4 at 4:10
$begingroup$
@MartinR Is what I did fine?
$endgroup$
– Nash
Jan 4 at 20:55
$begingroup$
@MartinR Is what I did fine?
$endgroup$
– Nash
Jan 4 at 20:55
add a comment |
7 Answers
7
active
oldest
votes
$begingroup$
If $x,y$ have the same sign $f(x,y)>0$
and if they have opposite signs $f(x,y)<0$
With the 4 pairs you have, 2 share the same sign and and 2 do not. That should make it clear wich are the maxima and which are the minima.
But is calculus even necessary?
Make this substitution
$x = u+v\
y = u-v$
Then your objective and constraint become:
$f(u,v) = 3u^2 - 3v^2\
3u^2 + v^2 = 3$
Plugging the constraint into the objective.
$f(u,v) = 3 - 4v^2$
$f$ is maximized when $v = 0$
$u = pm 1\
x = pm 1\
y = pm 1$
$f$ is minimized when $u = 0$
$v = pm sqrt 3\
x = pm sqrt 3\
y = mp sqrt 3$
$endgroup$
$begingroup$
Is what I did fine?
$endgroup$
– Nash
Jan 4 at 20:55
1
$begingroup$
Your work on with the Lagrange multipliers was fine.
$endgroup$
– Doug M
Jan 4 at 21:10
add a comment |
$begingroup$
Let $3xy=k$.
Thus,
$$k(x^2+y^2+xy)=9xy$$ or
$$kx^2+(k-9)xy+ky^2=0$$ has solutions.
Let $kneq0$.
Thus, $$(k-9)^2-4k^2geq0$$ or
$$(k+9)(k-3)leq0$$ or
$$-9leq kleq3.$$
Now, we see that $k=0$ is not relevant and the extreme value of $k$ occurs for $x=-frac{k-9}{2k}y$,
which says that
$$max_{x^2+y^2+xy=3}3xy=3$$ and
$$min_{x^2+y^2+xy=3}3xy=-9$$
$endgroup$
$begingroup$
Is what I did fine?
$endgroup$
– Nash
Jan 4 at 20:56
1
$begingroup$
@Nash Without the point $(0,0)$ it looks fine.
$endgroup$
– Michael Rozenberg
Jan 4 at 20:58
add a comment |
$begingroup$
If Lagrange multipliers is not mandatory,
$$12=4x^2+4y^2+4xy=(2x+y)^2+(sqrt3y)^2$$
Let $sqrt3y=sqrt{12}cos tiff y=2cos t$
$2x+y=2sqrt3sin tiff 2x=2sqrt3sin t-2cos tiff x=sqrt3sin t-cos t=2sinleft(t-30^circright)$
$3xy=12cos tsinleft(t-30^circright)=6[sin(2t-30^circ)-sin30^circ]$
Now for real $x,y;t$ is real $$-1lesin(2t-30^circ)le1$$
$endgroup$
$begingroup$
Is what I did fine?
$endgroup$
– Nash
Jan 4 at 20:56
add a comment |
$begingroup$
Evaluate your function $f(x,y) = 3xy$ at each of these four points, $(0,0), (1,1), (-1,-1), (sqrt{3},-sqrt{3})$ and compare the results.You will find maximum is achieved at $(1,1)$ and $(-1,-1)$ and minimum is achieved at $ pm (sqrt 3, -sqrt 3)$
$endgroup$
$begingroup$
Is what I did fine?
$endgroup$
– Nash
Jan 4 at 20:56
$begingroup$
Yes your work is correct
$endgroup$
– Mohammad Riazi-Kermani
Jan 4 at 22:55
add a comment |
$begingroup$
As the equations involved are homogeneous, making $y = lambda x$ we have
$$
min(max)3x^2lambda mbox{s. t. } x^2(1+lambda^2+lambda) = 3
$$
which is equivalent to
$$
min_{lambda}(max_{lambda})f(lambda) = frac{9lambda}{lambda^2+lambda+1}
$$
so the stationary points are at
$$
f'(lambda) = -frac{9 left(lambda ^2-1right)}{left(lambda ^2+lambda +1right)^2} = 0Rightarrow lambda^* = {-1,1}
$$
then the solutions are at $y = pm x$ etc.
$endgroup$
$begingroup$
Is what I did fine?
$endgroup$
– Nash
Jan 4 at 20:56
add a comment |
$begingroup$
1) $(x+y)^2- xy= 3;$
$xy = (x+y)^2 -3;$
$f(x,y)=3xy = 3(x+y)^2-9.$
$f_{min}=-9$, at $x=-y$;
$-3x^2= -9; x=pm √3; y=mp √3$;
2) $(x-y)^2+3xy= 3;$
$f(x,y)= 3xy= 3-(x-y)^2$;
$f_{max}= 3$, at $x=y$.
$x^2=1$; $x =pm 1$, $y=pm 1$.
$endgroup$
add a comment |
$begingroup$
You can determine the "type" of the critical point using the partial derivatives. Suppose $(x,y)$ is a critical point that you are considering. Then,
- If $f_{xx} f_{yy}- (f_{xx})^2 > 0$ and $f_{xx} > 0$ when evaluated at $(x,y)$, then there is a relative minimum at $(x,y)$.
- If $f_{xx} f_{yy}- (f_{xx})^2 > 0$ and $f_{xx} < 0$, you have a relative minimum.
- If $f_{xx} f_{yy}- (f_{xx})^2 < 0$ then you've got a saddle point.
- If $f_{xx} f_{yy}- (f_{xx})^2 = 0$ its indeterminate.
Edit: Just looked at the function you've provided. Clearly, it's going to indeterminate since the second derivative for $x$ or $y$ is $0$. You'll have to just plug in the values of the critical points you've found and determine it based on that.
$endgroup$
1
$begingroup$
This only provides local maxima or minima of the restricted function. For global one uses compactness and this criterion is then useless.
$endgroup$
– Will M.
Jan 4 at 4:36
1
$begingroup$
Examining the Jacobian determinant of the objective function in a constrained optimization problem doesn’t usually tell you anything useful. This problem is a case in point: the Jacobian determinant is identically equal to $-9$, so per these criteria the only critical points are saddle points. This is true of $f$ on $mathbb R^2$, but certainly not of its restriction to the ellipse.
$endgroup$
– amd
Jan 4 at 4:47
add a comment |
Your Answer
StackExchange.ifUsing("editor", function () {
return StackExchange.using("mathjaxEditing", function () {
StackExchange.MarkdownEditor.creationCallbacks.add(function (editor, postfix) {
StackExchange.mathjaxEditing.prepareWmdForMathJax(editor, postfix, [["$", "$"], ["\\(","\\)"]]);
});
});
}, "mathjax-editing");
StackExchange.ready(function() {
var channelOptions = {
tags: "".split(" "),
id: "69"
};
initTagRenderer("".split(" "), "".split(" "), channelOptions);
StackExchange.using("externalEditor", function() {
// Have to fire editor after snippets, if snippets enabled
if (StackExchange.settings.snippets.snippetsEnabled) {
StackExchange.using("snippets", function() {
createEditor();
});
}
else {
createEditor();
}
});
function createEditor() {
StackExchange.prepareEditor({
heartbeatType: 'answer',
autoActivateHeartbeat: false,
convertImagesToLinks: true,
noModals: true,
showLowRepImageUploadWarning: true,
reputationToPostImages: 10,
bindNavPrevention: true,
postfix: "",
imageUploader: {
brandingHtml: "Powered by u003ca class="icon-imgur-white" href="https://imgur.com/"u003eu003c/au003e",
contentPolicyHtml: "User contributions licensed under u003ca href="https://creativecommons.org/licenses/by-sa/3.0/"u003ecc by-sa 3.0 with attribution requiredu003c/au003e u003ca href="https://stackoverflow.com/legal/content-policy"u003e(content policy)u003c/au003e",
allowUrls: true
},
noCode: true, onDemand: true,
discardSelector: ".discard-answer"
,immediatelyShowMarkdownHelp:true
});
}
});
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
StackExchange.ready(
function () {
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fmath.stackexchange.com%2fquestions%2f3061300%2ffind-the-maximum-and-minimum-there-are-four-in-total-that-the-function-fx-y%23new-answer', 'question_page');
}
);
Post as a guest
Required, but never shown
7 Answers
7
active
oldest
votes
7 Answers
7
active
oldest
votes
active
oldest
votes
active
oldest
votes
$begingroup$
If $x,y$ have the same sign $f(x,y)>0$
and if they have opposite signs $f(x,y)<0$
With the 4 pairs you have, 2 share the same sign and and 2 do not. That should make it clear wich are the maxima and which are the minima.
But is calculus even necessary?
Make this substitution
$x = u+v\
y = u-v$
Then your objective and constraint become:
$f(u,v) = 3u^2 - 3v^2\
3u^2 + v^2 = 3$
Plugging the constraint into the objective.
$f(u,v) = 3 - 4v^2$
$f$ is maximized when $v = 0$
$u = pm 1\
x = pm 1\
y = pm 1$
$f$ is minimized when $u = 0$
$v = pm sqrt 3\
x = pm sqrt 3\
y = mp sqrt 3$
$endgroup$
$begingroup$
Is what I did fine?
$endgroup$
– Nash
Jan 4 at 20:55
1
$begingroup$
Your work on with the Lagrange multipliers was fine.
$endgroup$
– Doug M
Jan 4 at 21:10
add a comment |
$begingroup$
If $x,y$ have the same sign $f(x,y)>0$
and if they have opposite signs $f(x,y)<0$
With the 4 pairs you have, 2 share the same sign and and 2 do not. That should make it clear wich are the maxima and which are the minima.
But is calculus even necessary?
Make this substitution
$x = u+v\
y = u-v$
Then your objective and constraint become:
$f(u,v) = 3u^2 - 3v^2\
3u^2 + v^2 = 3$
Plugging the constraint into the objective.
$f(u,v) = 3 - 4v^2$
$f$ is maximized when $v = 0$
$u = pm 1\
x = pm 1\
y = pm 1$
$f$ is minimized when $u = 0$
$v = pm sqrt 3\
x = pm sqrt 3\
y = mp sqrt 3$
$endgroup$
$begingroup$
Is what I did fine?
$endgroup$
– Nash
Jan 4 at 20:55
1
$begingroup$
Your work on with the Lagrange multipliers was fine.
$endgroup$
– Doug M
Jan 4 at 21:10
add a comment |
$begingroup$
If $x,y$ have the same sign $f(x,y)>0$
and if they have opposite signs $f(x,y)<0$
With the 4 pairs you have, 2 share the same sign and and 2 do not. That should make it clear wich are the maxima and which are the minima.
But is calculus even necessary?
Make this substitution
$x = u+v\
y = u-v$
Then your objective and constraint become:
$f(u,v) = 3u^2 - 3v^2\
3u^2 + v^2 = 3$
Plugging the constraint into the objective.
$f(u,v) = 3 - 4v^2$
$f$ is maximized when $v = 0$
$u = pm 1\
x = pm 1\
y = pm 1$
$f$ is minimized when $u = 0$
$v = pm sqrt 3\
x = pm sqrt 3\
y = mp sqrt 3$
$endgroup$
If $x,y$ have the same sign $f(x,y)>0$
and if they have opposite signs $f(x,y)<0$
With the 4 pairs you have, 2 share the same sign and and 2 do not. That should make it clear wich are the maxima and which are the minima.
But is calculus even necessary?
Make this substitution
$x = u+v\
y = u-v$
Then your objective and constraint become:
$f(u,v) = 3u^2 - 3v^2\
3u^2 + v^2 = 3$
Plugging the constraint into the objective.
$f(u,v) = 3 - 4v^2$
$f$ is maximized when $v = 0$
$u = pm 1\
x = pm 1\
y = pm 1$
$f$ is minimized when $u = 0$
$v = pm sqrt 3\
x = pm sqrt 3\
y = mp sqrt 3$
edited Jan 4 at 7:24
answered Jan 4 at 4:25
Doug MDoug M
44.7k31854
44.7k31854
$begingroup$
Is what I did fine?
$endgroup$
– Nash
Jan 4 at 20:55
1
$begingroup$
Your work on with the Lagrange multipliers was fine.
$endgroup$
– Doug M
Jan 4 at 21:10
add a comment |
$begingroup$
Is what I did fine?
$endgroup$
– Nash
Jan 4 at 20:55
1
$begingroup$
Your work on with the Lagrange multipliers was fine.
$endgroup$
– Doug M
Jan 4 at 21:10
$begingroup$
Is what I did fine?
$endgroup$
– Nash
Jan 4 at 20:55
$begingroup$
Is what I did fine?
$endgroup$
– Nash
Jan 4 at 20:55
1
1
$begingroup$
Your work on with the Lagrange multipliers was fine.
$endgroup$
– Doug M
Jan 4 at 21:10
$begingroup$
Your work on with the Lagrange multipliers was fine.
$endgroup$
– Doug M
Jan 4 at 21:10
add a comment |
$begingroup$
Let $3xy=k$.
Thus,
$$k(x^2+y^2+xy)=9xy$$ or
$$kx^2+(k-9)xy+ky^2=0$$ has solutions.
Let $kneq0$.
Thus, $$(k-9)^2-4k^2geq0$$ or
$$(k+9)(k-3)leq0$$ or
$$-9leq kleq3.$$
Now, we see that $k=0$ is not relevant and the extreme value of $k$ occurs for $x=-frac{k-9}{2k}y$,
which says that
$$max_{x^2+y^2+xy=3}3xy=3$$ and
$$min_{x^2+y^2+xy=3}3xy=-9$$
$endgroup$
$begingroup$
Is what I did fine?
$endgroup$
– Nash
Jan 4 at 20:56
1
$begingroup$
@Nash Without the point $(0,0)$ it looks fine.
$endgroup$
– Michael Rozenberg
Jan 4 at 20:58
add a comment |
$begingroup$
Let $3xy=k$.
Thus,
$$k(x^2+y^2+xy)=9xy$$ or
$$kx^2+(k-9)xy+ky^2=0$$ has solutions.
Let $kneq0$.
Thus, $$(k-9)^2-4k^2geq0$$ or
$$(k+9)(k-3)leq0$$ or
$$-9leq kleq3.$$
Now, we see that $k=0$ is not relevant and the extreme value of $k$ occurs for $x=-frac{k-9}{2k}y$,
which says that
$$max_{x^2+y^2+xy=3}3xy=3$$ and
$$min_{x^2+y^2+xy=3}3xy=-9$$
$endgroup$
$begingroup$
Is what I did fine?
$endgroup$
– Nash
Jan 4 at 20:56
1
$begingroup$
@Nash Without the point $(0,0)$ it looks fine.
$endgroup$
– Michael Rozenberg
Jan 4 at 20:58
add a comment |
$begingroup$
Let $3xy=k$.
Thus,
$$k(x^2+y^2+xy)=9xy$$ or
$$kx^2+(k-9)xy+ky^2=0$$ has solutions.
Let $kneq0$.
Thus, $$(k-9)^2-4k^2geq0$$ or
$$(k+9)(k-3)leq0$$ or
$$-9leq kleq3.$$
Now, we see that $k=0$ is not relevant and the extreme value of $k$ occurs for $x=-frac{k-9}{2k}y$,
which says that
$$max_{x^2+y^2+xy=3}3xy=3$$ and
$$min_{x^2+y^2+xy=3}3xy=-9$$
$endgroup$
Let $3xy=k$.
Thus,
$$k(x^2+y^2+xy)=9xy$$ or
$$kx^2+(k-9)xy+ky^2=0$$ has solutions.
Let $kneq0$.
Thus, $$(k-9)^2-4k^2geq0$$ or
$$(k+9)(k-3)leq0$$ or
$$-9leq kleq3.$$
Now, we see that $k=0$ is not relevant and the extreme value of $k$ occurs for $x=-frac{k-9}{2k}y$,
which says that
$$max_{x^2+y^2+xy=3}3xy=3$$ and
$$min_{x^2+y^2+xy=3}3xy=-9$$
answered Jan 4 at 7:16
Michael RozenbergMichael Rozenberg
101k1591193
101k1591193
$begingroup$
Is what I did fine?
$endgroup$
– Nash
Jan 4 at 20:56
1
$begingroup$
@Nash Without the point $(0,0)$ it looks fine.
$endgroup$
– Michael Rozenberg
Jan 4 at 20:58
add a comment |
$begingroup$
Is what I did fine?
$endgroup$
– Nash
Jan 4 at 20:56
1
$begingroup$
@Nash Without the point $(0,0)$ it looks fine.
$endgroup$
– Michael Rozenberg
Jan 4 at 20:58
$begingroup$
Is what I did fine?
$endgroup$
– Nash
Jan 4 at 20:56
$begingroup$
Is what I did fine?
$endgroup$
– Nash
Jan 4 at 20:56
1
1
$begingroup$
@Nash Without the point $(0,0)$ it looks fine.
$endgroup$
– Michael Rozenberg
Jan 4 at 20:58
$begingroup$
@Nash Without the point $(0,0)$ it looks fine.
$endgroup$
– Michael Rozenberg
Jan 4 at 20:58
add a comment |
$begingroup$
If Lagrange multipliers is not mandatory,
$$12=4x^2+4y^2+4xy=(2x+y)^2+(sqrt3y)^2$$
Let $sqrt3y=sqrt{12}cos tiff y=2cos t$
$2x+y=2sqrt3sin tiff 2x=2sqrt3sin t-2cos tiff x=sqrt3sin t-cos t=2sinleft(t-30^circright)$
$3xy=12cos tsinleft(t-30^circright)=6[sin(2t-30^circ)-sin30^circ]$
Now for real $x,y;t$ is real $$-1lesin(2t-30^circ)le1$$
$endgroup$
$begingroup$
Is what I did fine?
$endgroup$
– Nash
Jan 4 at 20:56
add a comment |
$begingroup$
If Lagrange multipliers is not mandatory,
$$12=4x^2+4y^2+4xy=(2x+y)^2+(sqrt3y)^2$$
Let $sqrt3y=sqrt{12}cos tiff y=2cos t$
$2x+y=2sqrt3sin tiff 2x=2sqrt3sin t-2cos tiff x=sqrt3sin t-cos t=2sinleft(t-30^circright)$
$3xy=12cos tsinleft(t-30^circright)=6[sin(2t-30^circ)-sin30^circ]$
Now for real $x,y;t$ is real $$-1lesin(2t-30^circ)le1$$
$endgroup$
$begingroup$
Is what I did fine?
$endgroup$
– Nash
Jan 4 at 20:56
add a comment |
$begingroup$
If Lagrange multipliers is not mandatory,
$$12=4x^2+4y^2+4xy=(2x+y)^2+(sqrt3y)^2$$
Let $sqrt3y=sqrt{12}cos tiff y=2cos t$
$2x+y=2sqrt3sin tiff 2x=2sqrt3sin t-2cos tiff x=sqrt3sin t-cos t=2sinleft(t-30^circright)$
$3xy=12cos tsinleft(t-30^circright)=6[sin(2t-30^circ)-sin30^circ]$
Now for real $x,y;t$ is real $$-1lesin(2t-30^circ)le1$$
$endgroup$
If Lagrange multipliers is not mandatory,
$$12=4x^2+4y^2+4xy=(2x+y)^2+(sqrt3y)^2$$
Let $sqrt3y=sqrt{12}cos tiff y=2cos t$
$2x+y=2sqrt3sin tiff 2x=2sqrt3sin t-2cos tiff x=sqrt3sin t-cos t=2sinleft(t-30^circright)$
$3xy=12cos tsinleft(t-30^circright)=6[sin(2t-30^circ)-sin30^circ]$
Now for real $x,y;t$ is real $$-1lesin(2t-30^circ)le1$$
answered Jan 4 at 11:47
lab bhattacharjeelab bhattacharjee
225k15157275
225k15157275
$begingroup$
Is what I did fine?
$endgroup$
– Nash
Jan 4 at 20:56
add a comment |
$begingroup$
Is what I did fine?
$endgroup$
– Nash
Jan 4 at 20:56
$begingroup$
Is what I did fine?
$endgroup$
– Nash
Jan 4 at 20:56
$begingroup$
Is what I did fine?
$endgroup$
– Nash
Jan 4 at 20:56
add a comment |
$begingroup$
Evaluate your function $f(x,y) = 3xy$ at each of these four points, $(0,0), (1,1), (-1,-1), (sqrt{3},-sqrt{3})$ and compare the results.You will find maximum is achieved at $(1,1)$ and $(-1,-1)$ and minimum is achieved at $ pm (sqrt 3, -sqrt 3)$
$endgroup$
$begingroup$
Is what I did fine?
$endgroup$
– Nash
Jan 4 at 20:56
$begingroup$
Yes your work is correct
$endgroup$
– Mohammad Riazi-Kermani
Jan 4 at 22:55
add a comment |
$begingroup$
Evaluate your function $f(x,y) = 3xy$ at each of these four points, $(0,0), (1,1), (-1,-1), (sqrt{3},-sqrt{3})$ and compare the results.You will find maximum is achieved at $(1,1)$ and $(-1,-1)$ and minimum is achieved at $ pm (sqrt 3, -sqrt 3)$
$endgroup$
$begingroup$
Is what I did fine?
$endgroup$
– Nash
Jan 4 at 20:56
$begingroup$
Yes your work is correct
$endgroup$
– Mohammad Riazi-Kermani
Jan 4 at 22:55
add a comment |
$begingroup$
Evaluate your function $f(x,y) = 3xy$ at each of these four points, $(0,0), (1,1), (-1,-1), (sqrt{3},-sqrt{3})$ and compare the results.You will find maximum is achieved at $(1,1)$ and $(-1,-1)$ and minimum is achieved at $ pm (sqrt 3, -sqrt 3)$
$endgroup$
Evaluate your function $f(x,y) = 3xy$ at each of these four points, $(0,0), (1,1), (-1,-1), (sqrt{3},-sqrt{3})$ and compare the results.You will find maximum is achieved at $(1,1)$ and $(-1,-1)$ and minimum is achieved at $ pm (sqrt 3, -sqrt 3)$
answered Jan 4 at 4:17
Mohammad Riazi-KermaniMohammad Riazi-Kermani
41.5k42061
41.5k42061
$begingroup$
Is what I did fine?
$endgroup$
– Nash
Jan 4 at 20:56
$begingroup$
Yes your work is correct
$endgroup$
– Mohammad Riazi-Kermani
Jan 4 at 22:55
add a comment |
$begingroup$
Is what I did fine?
$endgroup$
– Nash
Jan 4 at 20:56
$begingroup$
Yes your work is correct
$endgroup$
– Mohammad Riazi-Kermani
Jan 4 at 22:55
$begingroup$
Is what I did fine?
$endgroup$
– Nash
Jan 4 at 20:56
$begingroup$
Is what I did fine?
$endgroup$
– Nash
Jan 4 at 20:56
$begingroup$
Yes your work is correct
$endgroup$
– Mohammad Riazi-Kermani
Jan 4 at 22:55
$begingroup$
Yes your work is correct
$endgroup$
– Mohammad Riazi-Kermani
Jan 4 at 22:55
add a comment |
$begingroup$
As the equations involved are homogeneous, making $y = lambda x$ we have
$$
min(max)3x^2lambda mbox{s. t. } x^2(1+lambda^2+lambda) = 3
$$
which is equivalent to
$$
min_{lambda}(max_{lambda})f(lambda) = frac{9lambda}{lambda^2+lambda+1}
$$
so the stationary points are at
$$
f'(lambda) = -frac{9 left(lambda ^2-1right)}{left(lambda ^2+lambda +1right)^2} = 0Rightarrow lambda^* = {-1,1}
$$
then the solutions are at $y = pm x$ etc.
$endgroup$
$begingroup$
Is what I did fine?
$endgroup$
– Nash
Jan 4 at 20:56
add a comment |
$begingroup$
As the equations involved are homogeneous, making $y = lambda x$ we have
$$
min(max)3x^2lambda mbox{s. t. } x^2(1+lambda^2+lambda) = 3
$$
which is equivalent to
$$
min_{lambda}(max_{lambda})f(lambda) = frac{9lambda}{lambda^2+lambda+1}
$$
so the stationary points are at
$$
f'(lambda) = -frac{9 left(lambda ^2-1right)}{left(lambda ^2+lambda +1right)^2} = 0Rightarrow lambda^* = {-1,1}
$$
then the solutions are at $y = pm x$ etc.
$endgroup$
$begingroup$
Is what I did fine?
$endgroup$
– Nash
Jan 4 at 20:56
add a comment |
$begingroup$
As the equations involved are homogeneous, making $y = lambda x$ we have
$$
min(max)3x^2lambda mbox{s. t. } x^2(1+lambda^2+lambda) = 3
$$
which is equivalent to
$$
min_{lambda}(max_{lambda})f(lambda) = frac{9lambda}{lambda^2+lambda+1}
$$
so the stationary points are at
$$
f'(lambda) = -frac{9 left(lambda ^2-1right)}{left(lambda ^2+lambda +1right)^2} = 0Rightarrow lambda^* = {-1,1}
$$
then the solutions are at $y = pm x$ etc.
$endgroup$
As the equations involved are homogeneous, making $y = lambda x$ we have
$$
min(max)3x^2lambda mbox{s. t. } x^2(1+lambda^2+lambda) = 3
$$
which is equivalent to
$$
min_{lambda}(max_{lambda})f(lambda) = frac{9lambda}{lambda^2+lambda+1}
$$
so the stationary points are at
$$
f'(lambda) = -frac{9 left(lambda ^2-1right)}{left(lambda ^2+lambda +1right)^2} = 0Rightarrow lambda^* = {-1,1}
$$
then the solutions are at $y = pm x$ etc.
answered Jan 4 at 12:16
CesareoCesareo
8,6393516
8,6393516
$begingroup$
Is what I did fine?
$endgroup$
– Nash
Jan 4 at 20:56
add a comment |
$begingroup$
Is what I did fine?
$endgroup$
– Nash
Jan 4 at 20:56
$begingroup$
Is what I did fine?
$endgroup$
– Nash
Jan 4 at 20:56
$begingroup$
Is what I did fine?
$endgroup$
– Nash
Jan 4 at 20:56
add a comment |
$begingroup$
1) $(x+y)^2- xy= 3;$
$xy = (x+y)^2 -3;$
$f(x,y)=3xy = 3(x+y)^2-9.$
$f_{min}=-9$, at $x=-y$;
$-3x^2= -9; x=pm √3; y=mp √3$;
2) $(x-y)^2+3xy= 3;$
$f(x,y)= 3xy= 3-(x-y)^2$;
$f_{max}= 3$, at $x=y$.
$x^2=1$; $x =pm 1$, $y=pm 1$.
$endgroup$
add a comment |
$begingroup$
1) $(x+y)^2- xy= 3;$
$xy = (x+y)^2 -3;$
$f(x,y)=3xy = 3(x+y)^2-9.$
$f_{min}=-9$, at $x=-y$;
$-3x^2= -9; x=pm √3; y=mp √3$;
2) $(x-y)^2+3xy= 3;$
$f(x,y)= 3xy= 3-(x-y)^2$;
$f_{max}= 3$, at $x=y$.
$x^2=1$; $x =pm 1$, $y=pm 1$.
$endgroup$
add a comment |
$begingroup$
1) $(x+y)^2- xy= 3;$
$xy = (x+y)^2 -3;$
$f(x,y)=3xy = 3(x+y)^2-9.$
$f_{min}=-9$, at $x=-y$;
$-3x^2= -9; x=pm √3; y=mp √3$;
2) $(x-y)^2+3xy= 3;$
$f(x,y)= 3xy= 3-(x-y)^2$;
$f_{max}= 3$, at $x=y$.
$x^2=1$; $x =pm 1$, $y=pm 1$.
$endgroup$
1) $(x+y)^2- xy= 3;$
$xy = (x+y)^2 -3;$
$f(x,y)=3xy = 3(x+y)^2-9.$
$f_{min}=-9$, at $x=-y$;
$-3x^2= -9; x=pm √3; y=mp √3$;
2) $(x-y)^2+3xy= 3;$
$f(x,y)= 3xy= 3-(x-y)^2$;
$f_{max}= 3$, at $x=y$.
$x^2=1$; $x =pm 1$, $y=pm 1$.
edited Jan 4 at 21:12
answered Jan 4 at 7:22
Peter SzilasPeter Szilas
11.1k2821
11.1k2821
add a comment |
add a comment |
$begingroup$
You can determine the "type" of the critical point using the partial derivatives. Suppose $(x,y)$ is a critical point that you are considering. Then,
- If $f_{xx} f_{yy}- (f_{xx})^2 > 0$ and $f_{xx} > 0$ when evaluated at $(x,y)$, then there is a relative minimum at $(x,y)$.
- If $f_{xx} f_{yy}- (f_{xx})^2 > 0$ and $f_{xx} < 0$, you have a relative minimum.
- If $f_{xx} f_{yy}- (f_{xx})^2 < 0$ then you've got a saddle point.
- If $f_{xx} f_{yy}- (f_{xx})^2 = 0$ its indeterminate.
Edit: Just looked at the function you've provided. Clearly, it's going to indeterminate since the second derivative for $x$ or $y$ is $0$. You'll have to just plug in the values of the critical points you've found and determine it based on that.
$endgroup$
1
$begingroup$
This only provides local maxima or minima of the restricted function. For global one uses compactness and this criterion is then useless.
$endgroup$
– Will M.
Jan 4 at 4:36
1
$begingroup$
Examining the Jacobian determinant of the objective function in a constrained optimization problem doesn’t usually tell you anything useful. This problem is a case in point: the Jacobian determinant is identically equal to $-9$, so per these criteria the only critical points are saddle points. This is true of $f$ on $mathbb R^2$, but certainly not of its restriction to the ellipse.
$endgroup$
– amd
Jan 4 at 4:47
add a comment |
$begingroup$
You can determine the "type" of the critical point using the partial derivatives. Suppose $(x,y)$ is a critical point that you are considering. Then,
- If $f_{xx} f_{yy}- (f_{xx})^2 > 0$ and $f_{xx} > 0$ when evaluated at $(x,y)$, then there is a relative minimum at $(x,y)$.
- If $f_{xx} f_{yy}- (f_{xx})^2 > 0$ and $f_{xx} < 0$, you have a relative minimum.
- If $f_{xx} f_{yy}- (f_{xx})^2 < 0$ then you've got a saddle point.
- If $f_{xx} f_{yy}- (f_{xx})^2 = 0$ its indeterminate.
Edit: Just looked at the function you've provided. Clearly, it's going to indeterminate since the second derivative for $x$ or $y$ is $0$. You'll have to just plug in the values of the critical points you've found and determine it based on that.
$endgroup$
1
$begingroup$
This only provides local maxima or minima of the restricted function. For global one uses compactness and this criterion is then useless.
$endgroup$
– Will M.
Jan 4 at 4:36
1
$begingroup$
Examining the Jacobian determinant of the objective function in a constrained optimization problem doesn’t usually tell you anything useful. This problem is a case in point: the Jacobian determinant is identically equal to $-9$, so per these criteria the only critical points are saddle points. This is true of $f$ on $mathbb R^2$, but certainly not of its restriction to the ellipse.
$endgroup$
– amd
Jan 4 at 4:47
add a comment |
$begingroup$
You can determine the "type" of the critical point using the partial derivatives. Suppose $(x,y)$ is a critical point that you are considering. Then,
- If $f_{xx} f_{yy}- (f_{xx})^2 > 0$ and $f_{xx} > 0$ when evaluated at $(x,y)$, then there is a relative minimum at $(x,y)$.
- If $f_{xx} f_{yy}- (f_{xx})^2 > 0$ and $f_{xx} < 0$, you have a relative minimum.
- If $f_{xx} f_{yy}- (f_{xx})^2 < 0$ then you've got a saddle point.
- If $f_{xx} f_{yy}- (f_{xx})^2 = 0$ its indeterminate.
Edit: Just looked at the function you've provided. Clearly, it's going to indeterminate since the second derivative for $x$ or $y$ is $0$. You'll have to just plug in the values of the critical points you've found and determine it based on that.
$endgroup$
You can determine the "type" of the critical point using the partial derivatives. Suppose $(x,y)$ is a critical point that you are considering. Then,
- If $f_{xx} f_{yy}- (f_{xx})^2 > 0$ and $f_{xx} > 0$ when evaluated at $(x,y)$, then there is a relative minimum at $(x,y)$.
- If $f_{xx} f_{yy}- (f_{xx})^2 > 0$ and $f_{xx} < 0$, you have a relative minimum.
- If $f_{xx} f_{yy}- (f_{xx})^2 < 0$ then you've got a saddle point.
- If $f_{xx} f_{yy}- (f_{xx})^2 = 0$ its indeterminate.
Edit: Just looked at the function you've provided. Clearly, it's going to indeterminate since the second derivative for $x$ or $y$ is $0$. You'll have to just plug in the values of the critical points you've found and determine it based on that.
answered Jan 4 at 4:13
kkckkc
1108
1108
1
$begingroup$
This only provides local maxima or minima of the restricted function. For global one uses compactness and this criterion is then useless.
$endgroup$
– Will M.
Jan 4 at 4:36
1
$begingroup$
Examining the Jacobian determinant of the objective function in a constrained optimization problem doesn’t usually tell you anything useful. This problem is a case in point: the Jacobian determinant is identically equal to $-9$, so per these criteria the only critical points are saddle points. This is true of $f$ on $mathbb R^2$, but certainly not of its restriction to the ellipse.
$endgroup$
– amd
Jan 4 at 4:47
add a comment |
1
$begingroup$
This only provides local maxima or minima of the restricted function. For global one uses compactness and this criterion is then useless.
$endgroup$
– Will M.
Jan 4 at 4:36
1
$begingroup$
Examining the Jacobian determinant of the objective function in a constrained optimization problem doesn’t usually tell you anything useful. This problem is a case in point: the Jacobian determinant is identically equal to $-9$, so per these criteria the only critical points are saddle points. This is true of $f$ on $mathbb R^2$, but certainly not of its restriction to the ellipse.
$endgroup$
– amd
Jan 4 at 4:47
1
1
$begingroup$
This only provides local maxima or minima of the restricted function. For global one uses compactness and this criterion is then useless.
$endgroup$
– Will M.
Jan 4 at 4:36
$begingroup$
This only provides local maxima or minima of the restricted function. For global one uses compactness and this criterion is then useless.
$endgroup$
– Will M.
Jan 4 at 4:36
1
1
$begingroup$
Examining the Jacobian determinant of the objective function in a constrained optimization problem doesn’t usually tell you anything useful. This problem is a case in point: the Jacobian determinant is identically equal to $-9$, so per these criteria the only critical points are saddle points. This is true of $f$ on $mathbb R^2$, but certainly not of its restriction to the ellipse.
$endgroup$
– amd
Jan 4 at 4:47
$begingroup$
Examining the Jacobian determinant of the objective function in a constrained optimization problem doesn’t usually tell you anything useful. This problem is a case in point: the Jacobian determinant is identically equal to $-9$, so per these criteria the only critical points are saddle points. This is true of $f$ on $mathbb R^2$, but certainly not of its restriction to the ellipse.
$endgroup$
– amd
Jan 4 at 4:47
add a comment |
Thanks for contributing an answer to Mathematics Stack Exchange!
- Please be sure to answer the question. Provide details and share your research!
But avoid …
- Asking for help, clarification, or responding to other answers.
- Making statements based on opinion; back them up with references or personal experience.
Use MathJax to format equations. MathJax reference.
To learn more, see our tips on writing great answers.
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
StackExchange.ready(
function () {
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fmath.stackexchange.com%2fquestions%2f3061300%2ffind-the-maximum-and-minimum-there-are-four-in-total-that-the-function-fx-y%23new-answer', 'question_page');
}
);
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
2
$begingroup$
Just compute f at those 4 points. Btw, (0,0) is not on the ellipse.
$endgroup$
– Martin R
Jan 4 at 4:10
$begingroup$
@MartinR Is what I did fine?
$endgroup$
– Nash
Jan 4 at 20:55