Test for convexity in one variable in a multivariate function












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I know that to test convexity of a multivariate function $f(x, y)$, you have to check the Hessian. However, how can you check convexity in one variable (say x)? Is it enough to check $frac{partial f^2(x,y)}{partial x^2}geq0?$










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    1












    $begingroup$


    I know that to test convexity of a multivariate function $f(x, y)$, you have to check the Hessian. However, how can you check convexity in one variable (say x)? Is it enough to check $frac{partial f^2(x,y)}{partial x^2}geq0?$










    share|cite|improve this question









    $endgroup$















      1












      1








      1





      $begingroup$


      I know that to test convexity of a multivariate function $f(x, y)$, you have to check the Hessian. However, how can you check convexity in one variable (say x)? Is it enough to check $frac{partial f^2(x,y)}{partial x^2}geq0?$










      share|cite|improve this question









      $endgroup$




      I know that to test convexity of a multivariate function $f(x, y)$, you have to check the Hessian. However, how can you check convexity in one variable (say x)? Is it enough to check $frac{partial f^2(x,y)}{partial x^2}geq0?$







      convex-analysis






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      asked Nov 25 '18 at 22:48









      user280809user280809

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