TheoremBase

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.

Proof

Throughout, the arithmetic and order of R\mathbb{R} are used through The Structure of ℝ as a Field and an Ordered Ring (i), The Structure of ℝ as a Field and an Ordered Ring (ii), Arithmetic and Order Rules in the Real Numbers, Stated for ℝ (v), Arithmetic and Order Rules in the Real Numbers, Stated for ℝ (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 ℝ (i); norms and distances in Rn\mathbb{R}^{n} through Properties of the Euclidean Norm on Rn\mathbb{R}^n: Square, Distance, Vanishing, Coordinate Bounds, Homogeneity, Triangle Inequalities and Expansion of a Square (ii), Properties of the Euclidean Norm on Rn\mathbb{R}^n: Square, Distance, Vanishing, Coordinate Bounds, Homogeneity, Triangle Inequalities and Expansion of a Square (v), Properties of the Euclidean Norm on Rn\mathbb{R}^n: Square, Distance, Vanishing, Coordinate Bounds, Homogeneity, Triangle Inequalities and Expansion of a Square (vi) and Standard Basis Vectors of ℝ^q: Coordinates, Orthonormality and Unit Length (iii); and the metric spaces (Rn,dE)(\mathbb{R}^{n},d_{E}) and (R,dR)(\mathbb{R},d_{\mathbb{R}}) through Rn\mathbb{R}^n 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 h∈Rnh\in\mathbb{R}^{n} with [a,a+h]βŠ†U[a,a+h]\subseteq U, and let J=[0,1]J=[0,1], an interval containing two distinct points. For t∈Jt\in J we have (1βˆ’t)a+t(a+h)=a+th(1-t)a+t(a+h)=a+th, so by the definition of the segment the hypothesis says that a+th∈Ua+th\in U for every t∈Jt\in J. Let Ο†:Jβ†’R\varphi:J\to\mathbb{R} be the function Ο†(t)=f(a+th)\varphi(t)=f(a+th). Since ff is of class C2C^{2} on UU, it is of class C1C^{1} (Basic Properties of Cᡏ Functions (ii)) and hence differentiable on UU (Basic Properties of Cᡏ Functions (v)). By Derivatives of a Function Along a Line Segment in ℝⁿ (ii) and Derivatives of a Function Along a Line Segment in ℝⁿ (iv), Ο†\varphi is differentiable on JJ, its derivative Ο†β€²\varphi' is again differentiable on JJ, and for every t∈Jt\in J

Ο†β€²(t)=βˆ‡f(a+th)β‹…h,Ο†β€²β€²(t)=hβ‹…(D2f(a+th) h).\varphi'(t)=\nabla f(a+th)\cdot h,\qquad \varphi''(t)=h\cdot\bigl(D^{2}f(a+th)\,h\bigr).

It remains to prove the one-variable Taylor formula of order two for Ο†\varphi on [0,1][0,1]; we argue as in the proof of Taylor's theorem in one variable, through Rolle's theorem. We subtract from Ο†\varphi its first-order Taylor polynomial at 00 and a quadratic correction chosen so that the difference vanishes at both endpoints: let

c=Ο†(1)βˆ’Ο†(0)βˆ’Ο†β€²(0),g(t)=Ο†(t)βˆ’Ο†(0)βˆ’Ο†β€²(0) tβˆ’c t2(t∈J).c=\varphi(1)-\varphi(0)-\varphi'(0),\qquad g(t)=\varphi(t)-\varphi(0)-\varphi'(0)\,t-c\,t^{2}\quad(t\in J).

Then g(0)=0g(0)=0 and g(1)=Ο†(1)βˆ’Ο†(0)βˆ’Ο†β€²(0)βˆ’c=0g(1)=\varphi(1)-\varphi(0)-\varphi'(0)-c=0. 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)), gg is differentiable on JJ, gβ€²g' is differentiable on JJ, and

gβ€²(t)=Ο†β€²(t)βˆ’Ο†β€²(0)βˆ’2ct,gβ€²β€²(t)=Ο†β€²β€²(t)βˆ’2c(t∈J).g'(t)=\varphi'(t)-\varphi'(0)-2ct,\qquad g''(t)=\varphi''(t)-2c\qquad(t\in J).

Being differentiable, gg and gβ€²g' are continuous on JJ (The Increment Form of the Derivative, and Differentiability Implies Continuity (ii)).

Since g(0)=g(1)g(0)=g(1), Rolle's theorem (Rolle's Theorem on a Closed Real Interval (i)) gives s∈(0,1)s\in(0,1) with gβ€²(s)=0g'(s)=0. Moreover gβ€²(0)=Ο†β€²(0)βˆ’Ο†β€²(0)βˆ’0=0g'(0)=\varphi'(0)-\varphi'(0)-0=0. The restriction of gβ€²g' to [0,s][0,s] is continuous on [0,s][0,s] and differentiable at every point of [0,s][0,s], with derivative gβ€²β€²g'' 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 [0,s][0,s], gives t∈(0,s)t\in(0,s) with gβ€²β€²(t)=0g''(t)=0, that is, Ο†β€²β€²(t)=2c\varphi''(t)=2c. Then t∈(0,1)t\in(0,1), and substituting c=12Ο†β€²β€²(t)c=\tfrac{1}{2}\varphi''(t) into the definition of cc and the formulas for Ο†β€²\varphi' and Ο†β€²β€²\varphi'' gives

f(a+h)=Ο†(1)=Ο†(0)+Ο†β€²(0)+12Ο†β€²β€²(t)=f(a)+βˆ‡f(a)β‹…h+12 hβ‹…(D2f(a+th) h),f(a+h)=\varphi(1)=\varphi(0)+\varphi'(0)+\tfrac{1}{2}\varphi''(t)=f(a)+\nabla f(a)\cdot h+\tfrac{1}{2}\,h\cdot\bigl(D^{2}f(a+th)\,h\bigr),

which is (i).

We turn to (ii). Let Ξ΅>0\varepsilon>0; we choose two radii, in this order. First, since UU is open and a∈Ua\in U, there is ρ>0\rho>0 with B(a,ρ)βŠ†UB(a,\rho)\subseteq U. Second, the Hessian function D2f:Uβ†’Mn(R)D^{2}f:U\to\mathcal{M}_{n}(\mathbb{R}) is continuous on UU by Equality of Mixed Partial Derivatives, and Symmetry and Continuity of the Hessian (iii), its values carrying the metric dn(A,B)=βˆ₯Aβˆ’Bβˆ₯d_{n}(A,B)=\lVert A-B\rVert of Euclidean Space and Real Matrices: Standing Notation (vi). Applying the definition of continuity at aa with the positive number 2Ξ΅2\varepsilon, and shrinking the radius it provides to at most ρ\rho, we obtain Ξ΄\delta with 0<δ≀ρ0<\delta\le\rho such that every z∈Uz\in U with βˆ₯zβˆ’aβˆ₯<Ξ΄\lVert z-a\rVert<\delta (dE(a,z)=βˆ₯zβˆ’aβˆ₯d_{E}(a,z)=\lVert z-a\rVert by Properties of the Euclidean Norm on Rn\mathbb{R}^n: Square, Distance, Vanishing, Coordinate Bounds, Homogeneity, Triangle Inequalities and Expansion of a Square (ii)) satisfies

βˆ₯D2f(z)βˆ’D2f(a)βˆ₯≀2Ξ΅.\lVert D^{2}f(z)-D^{2}f(a)\rVert\le2\varepsilon .

Thus Ξ΄\delta is fixed by Ξ΅\varepsilon (for the given ff and aa) before the increment hh is chosen.

Now let h∈Rnh\in\mathbb{R}^{n} with βˆ₯hβˆ₯<Ξ΄\lVert h\rVert<\delta. For t∈[0,1]t\in[0,1],

βˆ₯(a+th)βˆ’aβˆ₯=t βˆ₯hβˆ₯≀βˆ₯hβˆ₯<Ξ΄\lVert(a+th)-a\rVert=t\,\lVert h\rVert\le\lVert h\rVert<\delta

(Properties of the Euclidean Norm on Rn\mathbb{R}^n: Square, Distance, Vanishing, Coordinate Bounds, Homogeneity, Triangle Inequalities and Expansion of a Square (v)), so every point of [a,a+h][a,a+h] lies in B(a,Ξ΄)B(a,\delta), which is contained in B(a,ρ)βŠ†UB(a,\rho)\subseteq U since δ≀ρ\delta\le\rho. In particular a+h∈Ua+h\in U, and since [a,a+h]βŠ†U[a,a+h]\subseteq U, (i) gives t∈(0,1)t\in(0,1) with

f(a+h)=f(a)+βˆ‡f(a)β‹…h+12 hβ‹…(D2f(a+th) h).f(a+h)=f(a)+\nabla f(a)\cdot h+\tfrac{1}{2}\,h\cdot\bigl(D^{2}f(a+th)\,h\bigr).

Let A=D2f(a+th)βˆ’D2f(a)A=D^{2}f(a+th)-D^{2}f(a). Subtracting βˆ‡f(a)β‹…h+12 hβ‹…(D2f(a) h)\nabla f(a)\cdot h+\tfrac{1}{2}\,h\cdot\bigl(D^{2}f(a)\,h\bigr) and using the linearity of the dot product in its second argument (The Dot Product on Rn\mathbb{R}^n Is Symmetric, Bilinear and Positive Definite (iii)) and the distributivity of the matrix-vector product, we find

f(a+h)βˆ’f(a)βˆ’βˆ‡f(a)β‹…hβˆ’12 hβ‹…(D2f(a) h)=12 hβ‹…(Ah).f(a+h)-f(a)-\nabla f(a)\cdot h-\tfrac{1}{2}\,h\cdot\bigl(D^{2}f(a)\,h\bigr)=\tfrac{1}{2}\,h\cdot(Ah).

Both Hessian matrices lie in S(n)\mathcal{S}(n) by Equality of Mixed Partial Derivatives, and Symmetry and Continuity of the Hessian (ii), and S(n)\mathcal{S}(n) is closed under differences (Rules for Symmetric and Positive Semidefinite Matrices: Closure, Self-Adjointness, Polarization, Congruence and Cones (i)), so A∈S(n)A\in\mathcal{S}(n) and The Operator Norm of a Symmetric Matrix: Quadratic Forms, Eigenvalues and the Semidefinite Ordering (iii) gives ∣hβ‹…(Ah)βˆ£β‰€βˆ₯Aβˆ₯ βˆ₯hβˆ₯2|h\cdot(Ah)|\le\lVert A\rVert\,\lVert h\rVert^{2}. Finally, the point z=a+thz=a+th lies in UU and satisfies βˆ₯zβˆ’aβˆ₯<Ξ΄\lVert z-a\rVert<\delta by the estimate above, so the choice of Ξ΄\delta gives βˆ₯Aβˆ₯≀2Ξ΅\lVert A\rVert\le2\varepsilon. Hence

βˆ£β€‰f(a+h)βˆ’f(a)βˆ’βˆ‡f(a)β‹…hβˆ’12 hβ‹…(D2f(a) h)∣=12β€‰βˆ£hβ‹…(Ah)βˆ£β‰€12βˆ₯Aβˆ₯ βˆ₯hβˆ₯2≀Ρβˆ₯hβˆ₯2,\Bigl|\,f(a+h)-f(a)-\nabla f(a)\cdot h-\tfrac{1}{2}\,h\cdot\bigl(D^{2}f(a)\,h\bigr)\Bigr|=\tfrac{1}{2}\,|h\cdot(Ah)|\le\tfrac{1}{2}\lVert A\rVert\,\lVert h\rVert^{2}\le\varepsilon\lVert h\rVert^{2},

which proves (ii).

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