Proof of A Map into a Euclidean Space is Differentiable at Every Point
corollarycor:c1-vector-differentiable-2026aWrite for the Euclidean norm, used on , on and on alike, and for the absolute value of a real number ; the real numbers form an ordered field, whose order arithmetic is that of Elementary Order Arithmetic in an Ordered Field and Elementary Arithmetic in an Ordered Field. Sums are finite sums in , and coordinates of differences of points are computed coordinatewise by Difference, Dot Product, and Orthogonality in .
Step 1 (each coordinate function is of class ). By clause 1 of C^k Maps on a Euclidean Open Set, for every with the coordinate function is continuous at every point of , and for every with the partial derivative exists at every point of and is continuous at every point of . These are exactly the conditions of clause 1 of that definition for the map , regarded through the scalar convention of clause 3 as a map into with single coordinate function ; so each is of class on . In particular all the partial derivatives exist, so by Jacobian Matrix of a Map Between Euclidean Spaces the Jacobian matrix is defined, with rows and columns and entry ; likewise each is defined, with one row and columns and entry in column .
We also record that for a point of with single coordinate one has : by claim 1 of Elementary Properties of the Euclidean Norm on the norm is the unique nonnegative real whose square is , and is nonnegative with by claims 1 and 4 of Properties of the Absolute Value in an Ordered Field.
Step 2 (choice of constants). Let , a real number. Its summands are all equal to , and by claim 1 of Elementary Arithmetic in an Ordered Field, so claim 6 of Properties of Finite Sums gives ; since by claim 6 of Elementary Order Arithmetic in an Ordered Field, claim 2 of that lemma gives . By claim 7 of that lemma exists and , and multiplying by the nonnegative factor using claim 5 of Elementary Arithmetic in an Ordered Field gives .
Let be a real number with , and put , which is positive by claim 5 of Elementary Order Arithmetic in an Ordered Field.
For each with , A Real-Valued C^1 Function is Differentiable at Every Point says that is differentiable at with derivative matrix , so by Differentiability at a Point for Maps Between Euclidean Spaces there is a real with such that every with satisfies and
By repeated use of claim 9 of Elementary Order Arithmetic in an Ordered Field there is a real with for every such and with equal to one of the ; in particular .
Step 3 (the estimate). Fix with . By claim 2 of Elementary Order Arithmetic in an Ordered Field we have for every , so and the displayed estimate of Step 2 holds for every .
Put , a point of . By Matrix-Vector Product and the description of in Step 1, the th coordinate of is , which is also the single coordinate of ; and the th coordinate of is . Hence, using the identification of Step 1 between the norm on and the absolute value,
Both and are nonnegative, the latter by claim 5 of Elementary Arithmetic in an Ordered Field applied to , so claim 2 of Monotonicity of Squaring on the Nonnegative Elements of an Ordered Field gives , and by claim 4 of Properties of the Absolute Value in an Ordered Field. Summing over with claim 1 of Comparison and Absolute Value Bounds for Finite Sums of Real Numbers, and using claim 1 of Elementary Properties of the Euclidean Norm on on the left and claim 3 of Properties of Finite Sums on the right,
Since , commutativity and associativity of multiplication give . Now , by claim 5 of Elementary Arithmetic in an Ordered Field applied twice starting from , so multiplying by this nonnegative factor gives
Hence . Both and are nonnegative, so claim 2 of Monotonicity of Squaring on the Nonnegative Elements of an Ordered Field, read from right to left, gives
Step 4 (conclusion). Thus for every real with there is a real with such that every with satisfies and the last displayed inequality. Since is a real matrix with rows and columns, Differentiability at a Point for Maps Between Euclidean Spaces says exactly that is differentiable at with derivative matrix .
Loadingβ¦
Prerequisites
d3ebffd9-9486-4738-a7c1-2d9db3ce8151