Note on Legendre transforms. This note is supplementary to my note on symmetric hyperbolic form and the existence of entropy. If two convex functions f and g are Legendre transforms of one another then their derivatives are inverses of one another and thus define a bijection between a pair of variables x and y (in d-space): y(x) = f'(x), x(y) = g'(y). The constant of integration determines the Legendre transform and is specified by an additional requirement, that f(x) + g(y) = x.y. We will justify this requirement below. Consider the problem of finding g given f. We would first take the derivative of f and invert it to get g'. We might then look for an antiderivative of g'. But in fact we can use integration by parts to find a general antiderivative of g' in terms of f and g' (and thus make a general choice of constant of integration). Let id denote the identity function on d-space. (So id' = identity matrix.) Let \int denote the (path-independent) path integral of a conservative (i.e. gradient) field from an arbitrary base point to a variable point. Let "o" denote function composition. Integration by parts gives us: g = \int g' = \int id'.g' = id.g' - \int id.g'' = id.g' - \int (f' o g').g'' = id.g' - \int (f o g')' = id.g' - (f o g') (by choice of constant of integration). Differentiating confirms the result. Written in terms of the dual variables x and y, this becomes g(y) = y.g'(y) - (f o g'(y)), i.e., g(y) + f(x) = y.x. Thus the Legendre transform states that if x and y are bijectively corresponding variables and g_y = x then the Legendre transform f(x) = x.y - g(y) satisfies f_x = y. A generalization of the Legendre tranform (which is used to show the equivalence of symmetric hyperbolic form with the existence of an entropy) states that if x and y are bijectively corresponding variables and G_y = H(x) (which highly constrains and might or might not be sufficient to specify the relationship between x and y), then the "generalized Legendre transform of G with respect to H" (for the simple Legendre transform H is the identity function) is F(x), defined by F(x) := H(x).y - G(y), which satisfies F_x = y.H_x. (We remark that F(x) := G_y.y - G(y).)