Sketch: the increment bound comes from the definition with tolerance 1, the triangle inequality and the operator-norm bound; continuity follows from it.
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) and Arithmetic and Order Rules in the Real Numbers, Stated for β (ix), and norms 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) and Standard Basis Vectors of β^q: Coordinates, Orthonormality and Unit Length (iii). We prove the two increment bounds first and deduce continuity from them.
Proof of (ii). Let be differentiable at with derivative matrix . Applying Differentiability at a Point for Functions Between Euclidean Spaces (i) with tolerance gives a real such that every with satisfies and . For such write
By the triangle inequality, Properties of the Euclidean Norm on : Square, Distance, Vanishing, Coordinate Bounds, Homogeneity, Triangle Inequalities and Expansion of a Square (vi), and the operator-norm bound of Rules for the Operator Norm: Bound, Least Constant, Definiteness, Homogeneity, Triangle Inequality and Products (ii),
Proof of (iii). The argument is the same. Let be differentiable at with derivative vector ; Differentiability at a Point for Functions Between Euclidean Spaces (ii) with tolerance gives a real such that every with satisfies and . Writing and bounding by the Cauchy--Schwarz inequality, The Cauchy-Schwarz Inequality on (i), we get, by the triangle inequality for (Rules of Arithmetic and Order in an Ordered Field (xi)),
Proof of (i). Let be differentiable at . By Differentiability at a Point for Functions Between Euclidean Spaces (iii), has a derivative matrix at if , and a derivative vector at if . Put , respectively , a positive real number, and let be given by (ii), respectively (iii); neither depends on a tolerance. Now let be given, and only then put . Let with and put , so that and . The increment bound then gives
with , the metric of The Absolute Value Metric on the Real Numbers (i), in place of when is real-valued. This is continuity of at in the sense of Continuous Map Between Metric Spaces (i).
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