Reason: Proof of lem:differentiable-derivative-matrix-2026a: the coordinate increment has norm |t|, the matrix acts on it as A_{ki}t, and the coordinate bound on the Euclidean norm turns the differentiability estimate into the partial derivative condition; uniqueness follows from lem:partial-derivative-unique-euclidean-2026a.
Step 1 (the norm of the coordinate increment). Let t be a real number. By claim 1 of Elementary Properties of the Euclidean Norm on Rn, β₯uiβ(t)β₯ is the unique nonnegative real number r with r2=βl=1nβ(uiβ(t)lβ)2. In that sum every summand with lξ =i equals 0β 0=0 and the ith summand is t2, so the sum equals t2 by claim 7 of Properties of Finite Sums. Moreover β£tβ£ is nonnegative and equals t or βt, both by claim 1 of Properties of the Absolute Value in an Ordered Field, and (βt)β (βt)=tβ t, so β£tβ£2=t2 in either case. Therefore
β₯uiβ(t)β₯=β£tβ£.
Step 2 (the increment point). By Sum of Points of Rn the sum of points of Rn is formed coordinatewise, so a+uiβ(t) is the point whose ith coordinate is aiβ+t and whose lth coordinate is alβ for lξ =i. This is exactly the point (a1β,β¦,aiβ1β,aiβ+t,ai+1β,β¦,anβ) occurring in Partial Derivative on a Euclidean Open Set. We write a[t]=a+uiβ(t).
Step 3 (the matrix acts on the coordinate increment). Let k be a natural number with 1β€kβ€m. By Matrix-Vector Product,
(Auiβ(t))kβ=l=1βnβAklβuiβ(t)lβ.
Every summand with lξ =i equals Aklββ 0=0 and the ith summand is Akiβt, so the sum equals Akiβt by claim 7 of Properties of Finite Sums.
Step 4 (claim 1). Fix natural numbers k and i with 1β€kβ€m and 1β€iβ€n, and let Ξ΅ be a real number with 0<Ξ΅. By claim 8 of Elementary Order Arithmetic in an Ordered Field the real number Ξ΅β²=Ξ΅β 2β1 satisfies 0<Ξ΅β² and Ξ΅β²<Ξ΅. Applying Differentiability at a Point for Maps Between Euclidean Spaces with Ξ΅β² furnishes a real Ξ΄ with 0<Ξ΄ such that every hβRn with 0<β₯hβ₯<Ξ΄ satisfies a+hβU and β₯f(a+h)βf(a)βAhβ₯β€Ξ΅β²β₯hβ₯.
Let t be a real number with 0<β£tβ£<Ξ΄ and put h=uiβ(t). By Step 1, β₯hβ₯=β£tβ£, so 0<β₯hβ₯<Ξ΄. Hence a[t]=a+h lies in U, and, writing z=f(a[t])βf(a)βAh,
Since 0<β£tβ£ we have tξ =0, so tβ1 exists. Put w=zkββ tβ1. Then zkβ=wβ t, so β£zkββ£=β£wβ£β£tβ£ by claim 4 of Properties of the Absolute Value in an Ordered Field, and therefore β£wβ£β£tβ£β€Ξ΅β²β£tβ£. We claim β£wβ£β€Ξ΅β². Otherwise Ξ΅β²<β£wβ£, since the order is total, and then Ξ΅β²β£tβ£<β£wβ£β£tβ£ by claim 10 of Elementary Order Arithmetic in an Ordered Field, using 0<β£tβ£; combined with β£wβ£β£tβ£β€Ξ΅β²β£tβ£ this gives β£wβ£β£tβ£<β£wβ£β£tβ£ by claim 2 of that lemma, which is impossible. Hence β£wβ£β€Ξ΅β², and β£wβ£<Ξ΅ by claim 2 of that lemma together with Ξ΅β²<Ξ΅.
Finally, distributing tβ1 over the three terms of zkβ,
using (Akiβt)β tβ1=Akiβ. So every real t with 0<β£tβ£<Ξ΄ satisfies a[t]βU and
βtfkβ(a[t])βfkβ(a)ββAkiββ<Ξ΅.
As Ξ΅ was an arbitrary positive real, this is precisely the condition of Partial Derivative on a Euclidean Open Set for the partial derivative of fkβ with respect to the ith variable to exist at a with value Akiβ. This proves claim 1.
Step 5 (claim 2). By claim 1 the partial derivative of fkβ with respect to the ith variable exists at a for all k and i in the stated ranges, so the hypothesis of Jacobian Matrix of a Map Between Euclidean Spaces is met and the Jacobian matrix Df(a) is defined. Its entry in row k and column i is βfkβ/βxiβ(a), which equals Akiβ by claim 1 together with Uniqueness of the Partial Derivative on a Euclidean Open Set, the latter guaranteeing that the partial derivative has only the one value. Real matrices with m rows and n columns having equal entries throughout are equal, by Real Matrix and the Set of Real Matrices, so A=Df(a).
For the uniqueness assertion, let B be a real matrix with m rows and n columns such that f is differentiable at a with derivative matrix B. Applying what has just been proved to B in place of A gives B=Df(a), and hence B=A.