General question about Convexity of Multivariate Functions (Convexity in only some (i.e. not all) of the...












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Let a general multivariate function of $n$ variables, $f : mathbb{R}^n to mathbb{R}$ say, be given.



Suppose we want to prove that $f$ is convex (concave) in just some of the $n$ variables, not all.



In general, if one wants to prove that a function is convex (concave) in all variables, one should use the Hessian of the function.



So, I suspect that if one wants to prove that a function is convex (concave) in only some of the variables, one should again use a matrix of second-order partial derivatives of the function but in this case ONLY with respect to the variables for one wishes to confirm convexity (concavity).



Is my supposition correct?



In my case I am dealing with a function $f : mathbb{R}^4 to mathbb{R}, f(t,x,u,p) = 1 + x - u^2 + p(x + u)$ where I (only) want to show that it is concave in $(x,u)$.










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  • 1




    $begingroup$
    Just fix $t, p$ and consider the function $$g(x, u)=f(t,x,u,p).$$ You want to prove that $g$ is concave on $mathbb R^2$. Then, study its second derivatives etc etc... This amounts to considering only the derivatives in $x, u$, as you conjecture.
    $endgroup$
    – Giuseppe Negro
    Dec 16 '18 at 17:02












  • $begingroup$
    @GiuseppeNegro Thank you, that is precisely that I wanted to know (whether you could do that).
    $endgroup$
    – Anna
    Dec 16 '18 at 17:07
















0












$begingroup$


Let a general multivariate function of $n$ variables, $f : mathbb{R}^n to mathbb{R}$ say, be given.



Suppose we want to prove that $f$ is convex (concave) in just some of the $n$ variables, not all.



In general, if one wants to prove that a function is convex (concave) in all variables, one should use the Hessian of the function.



So, I suspect that if one wants to prove that a function is convex (concave) in only some of the variables, one should again use a matrix of second-order partial derivatives of the function but in this case ONLY with respect to the variables for one wishes to confirm convexity (concavity).



Is my supposition correct?



In my case I am dealing with a function $f : mathbb{R}^4 to mathbb{R}, f(t,x,u,p) = 1 + x - u^2 + p(x + u)$ where I (only) want to show that it is concave in $(x,u)$.










share|cite|improve this question











$endgroup$








  • 1




    $begingroup$
    Just fix $t, p$ and consider the function $$g(x, u)=f(t,x,u,p).$$ You want to prove that $g$ is concave on $mathbb R^2$. Then, study its second derivatives etc etc... This amounts to considering only the derivatives in $x, u$, as you conjecture.
    $endgroup$
    – Giuseppe Negro
    Dec 16 '18 at 17:02












  • $begingroup$
    @GiuseppeNegro Thank you, that is precisely that I wanted to know (whether you could do that).
    $endgroup$
    – Anna
    Dec 16 '18 at 17:07














0












0








0





$begingroup$


Let a general multivariate function of $n$ variables, $f : mathbb{R}^n to mathbb{R}$ say, be given.



Suppose we want to prove that $f$ is convex (concave) in just some of the $n$ variables, not all.



In general, if one wants to prove that a function is convex (concave) in all variables, one should use the Hessian of the function.



So, I suspect that if one wants to prove that a function is convex (concave) in only some of the variables, one should again use a matrix of second-order partial derivatives of the function but in this case ONLY with respect to the variables for one wishes to confirm convexity (concavity).



Is my supposition correct?



In my case I am dealing with a function $f : mathbb{R}^4 to mathbb{R}, f(t,x,u,p) = 1 + x - u^2 + p(x + u)$ where I (only) want to show that it is concave in $(x,u)$.










share|cite|improve this question











$endgroup$




Let a general multivariate function of $n$ variables, $f : mathbb{R}^n to mathbb{R}$ say, be given.



Suppose we want to prove that $f$ is convex (concave) in just some of the $n$ variables, not all.



In general, if one wants to prove that a function is convex (concave) in all variables, one should use the Hessian of the function.



So, I suspect that if one wants to prove that a function is convex (concave) in only some of the variables, one should again use a matrix of second-order partial derivatives of the function but in this case ONLY with respect to the variables for one wishes to confirm convexity (concavity).



Is my supposition correct?



In my case I am dealing with a function $f : mathbb{R}^4 to mathbb{R}, f(t,x,u,p) = 1 + x - u^2 + p(x + u)$ where I (only) want to show that it is concave in $(x,u)$.







convex-analysis






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share|cite|improve this question













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edited Dec 16 '18 at 16:55







Anna

















asked Dec 16 '18 at 16:48









AnnaAnna

7619




7619








  • 1




    $begingroup$
    Just fix $t, p$ and consider the function $$g(x, u)=f(t,x,u,p).$$ You want to prove that $g$ is concave on $mathbb R^2$. Then, study its second derivatives etc etc... This amounts to considering only the derivatives in $x, u$, as you conjecture.
    $endgroup$
    – Giuseppe Negro
    Dec 16 '18 at 17:02












  • $begingroup$
    @GiuseppeNegro Thank you, that is precisely that I wanted to know (whether you could do that).
    $endgroup$
    – Anna
    Dec 16 '18 at 17:07














  • 1




    $begingroup$
    Just fix $t, p$ and consider the function $$g(x, u)=f(t,x,u,p).$$ You want to prove that $g$ is concave on $mathbb R^2$. Then, study its second derivatives etc etc... This amounts to considering only the derivatives in $x, u$, as you conjecture.
    $endgroup$
    – Giuseppe Negro
    Dec 16 '18 at 17:02












  • $begingroup$
    @GiuseppeNegro Thank you, that is precisely that I wanted to know (whether you could do that).
    $endgroup$
    – Anna
    Dec 16 '18 at 17:07








1




1




$begingroup$
Just fix $t, p$ and consider the function $$g(x, u)=f(t,x,u,p).$$ You want to prove that $g$ is concave on $mathbb R^2$. Then, study its second derivatives etc etc... This amounts to considering only the derivatives in $x, u$, as you conjecture.
$endgroup$
– Giuseppe Negro
Dec 16 '18 at 17:02






$begingroup$
Just fix $t, p$ and consider the function $$g(x, u)=f(t,x,u,p).$$ You want to prove that $g$ is concave on $mathbb R^2$. Then, study its second derivatives etc etc... This amounts to considering only the derivatives in $x, u$, as you conjecture.
$endgroup$
– Giuseppe Negro
Dec 16 '18 at 17:02














$begingroup$
@GiuseppeNegro Thank you, that is precisely that I wanted to know (whether you could do that).
$endgroup$
– Anna
Dec 16 '18 at 17:07




$begingroup$
@GiuseppeNegro Thank you, that is precisely that I wanted to know (whether you could do that).
$endgroup$
– Anna
Dec 16 '18 at 17:07










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