Proof sketch: along the segment, the one-variable second-order mean value theorem (two applications of the mean value theorem to an auxiliary function) gives the Lagrange form; continuity of the Hessian and the quadratic-form bound for symmetric matrices give the Peano form.
Throughout, the arithmetic and order of are used through The Structure of β as a Field and an Ordered Ring (i), The Structure of β as a Field and an Ordered Ring (ii), Arithmetic and Order Rules in the Real Numbers, Stated for β (v), Arithmetic and Order Rules in the Real Numbers, Stated for β (ix), Rules of Arithmetic and Order in an Ordered Field (iii) and The Quotient 1/x, Order Rules for Sums, and Nesting of Closed Intervals in β (i); norms and distances in through Properties of the Euclidean Norm on : Square, Distance, Vanishing, Coordinate Bounds, Homogeneity, Triangle Inequalities and Expansion of a Square (ii), Properties of the Euclidean Norm on : Square, Distance, Vanishing, Coordinate Bounds, Homogeneity, Triangle Inequalities and Expansion of a Square (v), Properties of the Euclidean Norm on : Square, Distance, Vanishing, Coordinate Bounds, Homogeneity, Triangle Inequalities and Expansion of a Square (vi) and Standard Basis Vectors of β^q: Coordinates, Orthonormality and Unit Length (iii); and the metric spaces and through with the Euclidean Distance Is a Complete Metric Space with Coordinatewise Convergence (i) and The Absolute Value Metric on the Real Numbers (i).
We begin with (i), which we reduce to one variable. Let with , and let , an interval containing two distinct points. For we have , so by the definition of the segment the hypothesis says that for every . Let be the function . Since is of class on , it is of class (Basic Properties of Cα΅ Functions (ii)) and hence differentiable on (Basic Properties of Cα΅ Functions (v)). By Derivatives of a Function Along a Line Segment in ββΏ (ii) and Derivatives of a Function Along a Line Segment in ββΏ (iv), is differentiable on , its derivative is again differentiable on , and for every
It remains to prove the one-variable Taylor formula of order two for on ; we argue as in the proof of Taylor's theorem in one variable, through Rolle's theorem. We subtract from its first-order Taylor polynomial at and a quadratic correction chosen so that the difference vanishes at both endpoints: let
Then and . By the rules for derivatives of constants, of the identity, of sums, of scalar multiples and of powers (Derivatives of Constants, the Identity, Sums, Scalar Multiples, Products, Reciprocals, Quotients and Powers (i), Derivatives of Constants, the Identity, Sums, Scalar Multiples, Products, Reciprocals, Quotients and Powers (ii), Derivatives of Constants, the Identity, Sums, Scalar Multiples, Products, Reciprocals, Quotients and Powers (iv), Derivatives of Constants, the Identity, Sums, Scalar Multiples, Products, Reciprocals, Quotients and Powers (v), Derivatives of Constants, the Identity, Sums, Scalar Multiples, Products, Reciprocals, Quotients and Powers (iii)), is differentiable on , is differentiable on , and
Being differentiable, and are continuous on (The Increment Form of the Derivative, and Differentiability Implies Continuity (ii)).
Since , Rolle's theorem (Rolle's Theorem on a Closed Real Interval (i)) gives with . Moreover . The restriction of to is continuous on and differentiable at every point of , with derivative there (Restriction Stability of Continuity and of the Derivative (i), Restriction Stability of Continuity and of the Derivative (ii)), and it vanishes at both endpoints. A second application of Rolle's Theorem on a Closed Real Interval (i), now to this restriction on , gives with , that is, . Then , and substituting into the definition of and the formulas for and gives
which is (i).
We turn to (ii). Let ; we choose two radii, in this order. First, since is open and , there is with . Second, the Hessian function is continuous on by Equality of Mixed Partial Derivatives, and Symmetry and Continuity of the Hessian (iii), its values carrying the metric of Euclidean Space and Real Matrices: Standing Notation (vi). Applying the definition of continuity at with the positive number , and shrinking the radius it provides to at most , we obtain with such that every with ( by Properties of the Euclidean Norm on : Square, Distance, Vanishing, Coordinate Bounds, Homogeneity, Triangle Inequalities and Expansion of a Square (ii)) satisfies
Thus is fixed by (for the given and ) before the increment is chosen.
Now let with . For ,
(Properties of the Euclidean Norm on : Square, Distance, Vanishing, Coordinate Bounds, Homogeneity, Triangle Inequalities and Expansion of a Square (v)), so every point of lies in , which is contained in since . In particular , and since , (i) gives with
Let . Subtracting and using the linearity of the dot product in its second argument (The Dot Product on Is Symmetric, Bilinear and Positive Definite (iii)) and the distributivity of the matrix-vector product, we find
Both Hessian matrices lie in by Equality of Mixed Partial Derivatives, and Symmetry and Continuity of the Hessian (ii), and is closed under differences (Rules for Symmetric and Positive Semidefinite Matrices: Closure, Self-Adjointness, Polarization, Congruence and Cones (i)), so and The Operator Norm of a Symmetric Matrix: Quadratic Forms, Eigenvalues and the Semidefinite Ordering (iii) gives . Finally, the point lies in and satisfies by the estimate above, so the choice of gives . Hence
which proves (ii).
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