Total/Gaussian curvature is intrinsic, yet mean curvature is extrinsic, why?

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What characteristics define the total/mean curvature to be intrinsic/extrinsic accordingly? What is different geometrically about these curvatures that cause them to be defined as this?

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The idea seems to be that Gaussian curvature is intrinsic because it is invariant over isometric embedding. That is, if you apply an isometric embedding to a surface, the mean curvature of the result may be different (making mean curvature an extrinsic property), but the Gaussian curvature (and any other intrinsic measurement) would have to remain the same.

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I like to point out that you can find out these numbers, at the origin only, for $z = a x^2 + b y^2.$ The Hessian matrix of second partials is diagonal, and the first derivatives are zero (at the origin only). The Gauss curvature is, say, one quarter the determinant, $ab.$ If we flip it upside down, $z = -a x^2 - b y^2,$ we get $(-a)(-b)= ab$ which is unchanged.

Meanwhile, the mean curvature of the original is $a+b$ or half of that, depends on the author. If we flip it upside down, it is $-a-b,$ which is not the same as the original.

There are always choices of constants; worth working this out on your own.