Showing that the quadratic over linear function is convex?












0












$begingroup$


Let $f(x,y) = frac{x^2}{y}$ be the quadratic-over-linear function.



To show it's convex over $Bbb R times Bbb R_{++}$, we have to show that $nabla^2f$ is positive semi definite.I see that
$$nabla f(x,y) =
begin{bmatrix}2x/y\-x^2/y^2end{bmatrix},
$$

but the book is saying that
$$
nabla^2 f(x,y)=frac{2}{y^3}begin{bmatrix}y^2 &-xy\-xy & x^2end{bmatrix}.
$$



But isn't it the case that $nabla^2f = nabla * nabla f$ where $*$ means dot product and therefore $nabla^2f = 2/y + 2x^2 / y^3$?



What have I misunderstood here?










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  • 1




    $begingroup$
    There seems to be some ambiguity of notation for $nabla^2$ as either the "Laplace operator" or the "Hessian matrix," see here: en.wikipedia.org/wiki/Del_squared [In your case you want the Hessian matrix.] Note that it only makes sense for a square matrix to be "positive semi-definite."
    $endgroup$
    – Michael
    Jan 20 at 16:05


















0












$begingroup$


Let $f(x,y) = frac{x^2}{y}$ be the quadratic-over-linear function.



To show it's convex over $Bbb R times Bbb R_{++}$, we have to show that $nabla^2f$ is positive semi definite.I see that
$$nabla f(x,y) =
begin{bmatrix}2x/y\-x^2/y^2end{bmatrix},
$$

but the book is saying that
$$
nabla^2 f(x,y)=frac{2}{y^3}begin{bmatrix}y^2 &-xy\-xy & x^2end{bmatrix}.
$$



But isn't it the case that $nabla^2f = nabla * nabla f$ where $*$ means dot product and therefore $nabla^2f = 2/y + 2x^2 / y^3$?



What have I misunderstood here?










share|cite|improve this question











$endgroup$








  • 1




    $begingroup$
    There seems to be some ambiguity of notation for $nabla^2$ as either the "Laplace operator" or the "Hessian matrix," see here: en.wikipedia.org/wiki/Del_squared [In your case you want the Hessian matrix.] Note that it only makes sense for a square matrix to be "positive semi-definite."
    $endgroup$
    – Michael
    Jan 20 at 16:05
















0












0








0


0



$begingroup$


Let $f(x,y) = frac{x^2}{y}$ be the quadratic-over-linear function.



To show it's convex over $Bbb R times Bbb R_{++}$, we have to show that $nabla^2f$ is positive semi definite.I see that
$$nabla f(x,y) =
begin{bmatrix}2x/y\-x^2/y^2end{bmatrix},
$$

but the book is saying that
$$
nabla^2 f(x,y)=frac{2}{y^3}begin{bmatrix}y^2 &-xy\-xy & x^2end{bmatrix}.
$$



But isn't it the case that $nabla^2f = nabla * nabla f$ where $*$ means dot product and therefore $nabla^2f = 2/y + 2x^2 / y^3$?



What have I misunderstood here?










share|cite|improve this question











$endgroup$




Let $f(x,y) = frac{x^2}{y}$ be the quadratic-over-linear function.



To show it's convex over $Bbb R times Bbb R_{++}$, we have to show that $nabla^2f$ is positive semi definite.I see that
$$nabla f(x,y) =
begin{bmatrix}2x/y\-x^2/y^2end{bmatrix},
$$

but the book is saying that
$$
nabla^2 f(x,y)=frac{2}{y^3}begin{bmatrix}y^2 &-xy\-xy & x^2end{bmatrix}.
$$



But isn't it the case that $nabla^2f = nabla * nabla f$ where $*$ means dot product and therefore $nabla^2f = 2/y + 2x^2 / y^3$?



What have I misunderstood here?







convex-analysis proof-explanation






share|cite|improve this question















share|cite|improve this question













share|cite|improve this question




share|cite|improve this question








edited Jan 22 at 16:22









A.Γ.

22.8k32656




22.8k32656










asked Jan 20 at 15:04









Oliver GOliver G

1,4471532




1,4471532








  • 1




    $begingroup$
    There seems to be some ambiguity of notation for $nabla^2$ as either the "Laplace operator" or the "Hessian matrix," see here: en.wikipedia.org/wiki/Del_squared [In your case you want the Hessian matrix.] Note that it only makes sense for a square matrix to be "positive semi-definite."
    $endgroup$
    – Michael
    Jan 20 at 16:05
















  • 1




    $begingroup$
    There seems to be some ambiguity of notation for $nabla^2$ as either the "Laplace operator" or the "Hessian matrix," see here: en.wikipedia.org/wiki/Del_squared [In your case you want the Hessian matrix.] Note that it only makes sense for a square matrix to be "positive semi-definite."
    $endgroup$
    – Michael
    Jan 20 at 16:05










1




1




$begingroup$
There seems to be some ambiguity of notation for $nabla^2$ as either the "Laplace operator" or the "Hessian matrix," see here: en.wikipedia.org/wiki/Del_squared [In your case you want the Hessian matrix.] Note that it only makes sense for a square matrix to be "positive semi-definite."
$endgroup$
– Michael
Jan 20 at 16:05






$begingroup$
There seems to be some ambiguity of notation for $nabla^2$ as either the "Laplace operator" or the "Hessian matrix," see here: en.wikipedia.org/wiki/Del_squared [In your case you want the Hessian matrix.] Note that it only makes sense for a square matrix to be "positive semi-definite."
$endgroup$
– Michael
Jan 20 at 16:05












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