The Gaussian and Mean Curvatures of a Parallel Surface This is a homework problem from do Carmo. Given a regular parametrized surface $X(u,v)$ we define the parallel surface $Y(u,v)$ by $$Y(u,v)=X(u,v) + aN(u,v)$$ where $N(u,v)$ is the unit normal on $X$ and $a$ is a constant. I have been asked to compute the Gaussian and mean curvatures $\overline{K}$ and $\overline{H}$ of $Y(u,v)$ in terms of those of X, $K$ and $H$. Now, I know how to do this by brute force: calculate the coefficients of the first and second fundamental forms of $Y$ in terms of those of $X$. However, this is a lengthy and messy calculation. do Carmo says that $$\overline{K}=\frac{K}{1-2Ha+Ka^2}$$ and $$\overline{H}=\frac{H-Ka}{1-2Ha+Ka^2}.$$ The denominator of these fractions is actually something that arose earlier in the problem; I calculated $$Y_u\times Y_v=(1-2Ha+Ka^2)(X_u\times X_v).$$ So, it seems like I should be able to calcuate $\overline{K}$ and $\overline{H}$ from this initial step. Is there something I'm missing? Or, is it actually just a brute force calculation?
Thanks.
 A: Here's a different approach, using the Weingarten map.
As above, since $Y$ and $X$ are parallel surfaces, their unit normals have to have the same direction at every point.
Therefore their Weingarten maps have to coincide. (The Weingarten map is the negative differential of the Gauss map.)
Let us call the Weingarten maps $L, \, \bar L$ respectively, and the principle curvatures $\kappa_i, \, \bar \kappa_i$, $i \in \{1,2\}$.
For orthonormal bases $\{\frac{\partial X}{\partial u} , \frac{\partial X}{\partial v} \}$, $\{\frac{\partial X}{\partial u} , \frac{\partial X}{\partial v} \}$ of $T_pX$, $T_{\bar p}Y$, respectively, $p \in X$, $\bar p \in Y$, the Weingarten maps satisfy the eigenvalue equations:
$$L\left(\frac{\partial X}{\partial x^i}\right) = \kappa_i \frac{\partial X}{\partial x^i}, \quad i \in \{1,2\}, \, x^i \in \{u,v\} $$
$$\bar L\left(\frac{\partial Y}{\partial x^i}\right) = \bar \kappa_i \frac{\partial Y}{\partial x^i}, \quad i \in \{1,2\}, \, x^i \in \{u,v\} $$
Now we use the fact, that they are equal,
$$L \left(\frac{\partial X}{\partial x^i}\right) = \bar L \left(\frac{\partial Y}{\partial x^i}\right) = \bar \kappa_i \frac{\partial Y}{\partial x^i} = \bar \kappa_i \left( \frac{\partial X}{\partial x^i} + a \frac{\partial N}{\partial x^i} \right), \quad i \in \{1,2\}, \, x^i \in \{u,v\}. $$
As mentioned above, $$ L_{ij} = - \sum_{k=1}^2 \frac{\partial N_i}{\partial x^k} \left( \frac{\partial X_k}{\partial x^j} \right)^{-1} , \, x^j, x^k \in \{u, v\}, \, i \in \{1,2\}.$$
Therefore $$ \frac{\partial N}{\partial x^i} = -\sum_{j=1}^2 L_{ij} \frac{\partial X}{\partial x^j} = - L\left(\frac{\partial X}{\partial x^i}\right) = - \kappa_i \frac{\partial X}{\partial x^i}, \, x^i, x^j \in \{u, v\} \, i,j \in \{1,2\} $$
and so we can put things together:
$$ \bar \kappa_i \Big( \frac{\partial X}{\partial x^i} + a \frac{\partial N}{\partial x^i} \Big) = \bar \kappa_i \left( 1 - a \kappa_i \frac{\partial X}{\partial x^i} \right) , \quad i \in \{1,2\}, \, x^i \in \{u,v\} $$
$$ \bar \kappa_i = \frac{\kappa_i}{1- a \kappa_i} $$
The mean curvature is just half the sum of the principal curvatures, the Gauss curvature their product.
A: Yes, you can compute all the coefficients $e,f,g,E,F,G$ and get the gaussian and mean curvature and yes, it's tedious.
Here's another way:
From the first step we get : $Y_u\times Y_v=(1-2Ha+Ka^2)(X_u\times X_v)$, ie if $N$ and $\overline N$ are the normal vectors of $X$ and $Y$ respectively, then $\overline N\circ Y$ and $N\circ X$ coincide, since they're parallel. If these functions coincide then we have the following relations : 
$$d\overline N(Y_u)=(\overline N\circ Y)_u=(N\circ X)_u=dN(X_u) \tag1$$
$$d\overline N(Y_v)=(\overline N\circ Y)_v=(N\circ X)_v=dN(X_v) \tag2$$
Let $\overline B$ be the matrix of $d\overline N$ with respect to $\{Y_u,Y_v\}$ and $B$ the matrix of $dN$ with  respect to $\{X_u,X_v\}$.
Now, to compute $\overline K$ and $\overline H$ we need to find the expression of $\overline B$.
Put $$B=\begin{bmatrix}b_{11} & b_{12}\\ b_{21} & b_{22}\\ \end{bmatrix}$$
From the definition of $Y$ we have:
$$Y_u=X_u+a\cdot N_u=(a\cdot b_{11}+1)\cdot X_u+a\cdot b_{21}\cdot X_v$$
$$Y_v=X_v+a\cdot N_v=a\cdot b_{12}\cdot X_u+(a\cdot b_{22}+1)\cdot X_v$$
From these equations we can get the "change of basis" matrix : $Q=\begin{bmatrix}a\cdot b_{11}+1 & a\cdot b_{12}\\ a\cdot b_{21} & a\cdot b_{22}+1\\ \end{bmatrix}$ from $\{X_u,X_v\}$ to $\{Y_u,Y_v\}$. Then from the initial relations $(1)$ and $(2)$, we have the following equation:
 $$B=Q\cdot \overline B$$
Since $Q$ is invertible: $$ \overline B=Q^{-1}\cdot B$$ From this point you can compute the entries of $\overline B$ and calculate $\overline H $ and $ \overline K$.
You can also notice that, since $Q^{-1}=(I+a\cdot B)^{-1}$, you have $\overline B=(I+a\cdot B)^{-1}\cdot B $. So, if $B$ has eigenvalues $-\lambda_1$ and $-\lambda_2$, then the eigenvalues of $\overline B$ are $\frac{-\lambda_1}{1-a\cdot \lambda_1}$ and $\frac{-\lambda_2}{1-a\cdot \lambda_2}$ and you can easily compute $\overline H$ and $\overline K$.
A: This is already implicitly included in the previously posted answers, but if you just want to understand where the formulas for $\overline K$ and $\overline H$ come from, without caring much for rigor, that is actually very easy. Once expressed in terms of the principal radii of curvature, the expressions for $\overline K$ and $\overline H$ are equivalent to
\begin{align*}
\overline R_1+\overline R_2&=R_1+R_2-2a,\\
\overline R_1\overline R_2&=(R_1-a)(R_2-a).
\end{align*}
These relations then follow from the intuitively obvious fact that upon translating by $a$ along the normal vector, the principal radii of the surface simply shift by $a$.
