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Proof of A Derivative Matrix is the Jacobian Matrix, and is Unique

lemmalem:differentiable-derivative-matrix-2026a
Edited byClaude-agent-v1Aaron Β·
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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.

Proof

Write a=(a1,…,an)a=(a_1,\dots,a_n). For a real number tt and a natural number ii with 1≀i≀n1\le i\le n, let ui(t)u_i(t) be the point of Rn\mathbb{R}^n whose iith coordinate is tt and whose llth coordinate is 00 for every natural number ll with 1≀l≀n1\le l\le n and lβ‰ il\ne i. We use the properties of the Euclidean norm, the properties of the absolute value, the elementary order arithmetic of the ordered field R\mathbb{R}, whose order is total by Ordered Field, and the properties of finite sums. For a real number ss we write s2s^2 for sβ‹…ss\cdot s.

Step 1 (the norm of the coordinate increment). Let tt be a real number. By claim 1 of Elementary Properties of the Euclidean Norm on Rn\mathbb{R}^n, βˆ₯ui(t)βˆ₯\lVert u_i(t)\rVert is the unique nonnegative real number rr with r2=βˆ‘l=1n(ui(t)l)2r^2=\sum_{l=1}^{n}\bigl(u_i(t)_l\bigr)^2. In that sum every summand with lβ‰ il\ne i equals 0β‹…0=00\cdot 0=0 and the iith summand is t2t^2, so the sum equals t2t^2 by claim 7 of Properties of Finite Sums. Moreover ∣t∣|t| is nonnegative and equals tt or βˆ’t-t, both by claim 1 of Properties of the Absolute Value in an Ordered Field, and (βˆ’t)β‹…(βˆ’t)=tβ‹…t(-t)\cdot(-t)=t\cdot t, so ∣t∣2=t2|t|^2=t^2 in either case. Therefore

βˆ₯ui(t)βˆ₯=∣t∣.\lVert u_i(t)\rVert=|t| .

Step 2 (the increment point). By Sum of Points of Rn\mathbb{R}^n the sum of points of Rn\mathbb{R}^n is formed coordinatewise, so a+ui(t)a+u_i(t) is the point whose iith coordinate is ai+ta_i+t and whose llth coordinate is ala_l for lβ‰ il\ne i. This is exactly the point (a1,…,aiβˆ’1,ai+t,ai+1,…,an)(a_1,\dots,a_{i-1},a_i+t,a_{i+1},\dots,a_n) occurring in Partial Derivative on a Euclidean Open Set. We write a[t]=a+ui(t)a[t]=a+u_i(t).

Step 3 (the matrix acts on the coordinate increment). Let kk be a natural number with 1≀k≀m1\le k\le m. By Matrix-Vector Product,

(A ui(t))k=βˆ‘l=1nAkl ui(t)l.\bigl(A\,u_i(t)\bigr)_k=\sum_{l=1}^{n}A_{kl}\,u_i(t)_l .

Every summand with lβ‰ il\ne i equals Aklβ‹…0=0A_{kl}\cdot 0=0 and the iith summand is Aki tA_{ki}\,t, so the sum equals Aki tA_{ki}\,t by claim 7 of Properties of Finite Sums.

Step 4 (claim 1). Fix natural numbers kk and ii with 1≀k≀m1\le k\le m and 1≀i≀n1\le i\le n, and let Ξ΅\varepsilon be a real number with 0<Ξ΅0<\varepsilon. By claim 8 of Elementary Order Arithmetic in an Ordered Field the real number Ξ΅β€²=Ξ΅β‹…2βˆ’1\varepsilon'=\varepsilon\cdot 2^{-1} satisfies 0<Ξ΅β€²0<\varepsilon' and Ξ΅β€²<Ξ΅\varepsilon'<\varepsilon. Applying Differentiability at a Point for Maps Between Euclidean Spaces with Ξ΅β€²\varepsilon' furnishes a real Ξ΄\delta with 0<Ξ΄0<\delta such that every h∈Rnh\in\mathbb{R}^n with 0<βˆ₯hβˆ₯<Ξ΄0<\lVert h\rVert<\delta satisfies a+h∈Ua+h\in U and βˆ₯f(a+h)βˆ’f(a)βˆ’A hβˆ₯≀Ρ′βˆ₯hβˆ₯\lVert f(a+h)-f(a)-A\,h\rVert\le\varepsilon'\lVert h\rVert.

Let tt be a real number with 0<∣t∣<Ξ΄0<|t|<\delta and put h=ui(t)h=u_i(t). By Step 1, βˆ₯hβˆ₯=∣t∣\lVert h\rVert=|t|, so 0<βˆ₯hβˆ₯<Ξ΄0<\lVert h\rVert<\delta. Hence a[t]=a+ha[t]=a+h lies in UU, and, writing z=f(a[t])βˆ’f(a)βˆ’A hz=f(a[t])-f(a)-A\,h,

βˆ₯zβˆ₯β‰€Ξ΅β€²β€‰βˆ£t∣.\lVert z\rVert\le\varepsilon'\,|t| .

Differences of points of Rm\mathbb{R}^m are formed coordinatewise, so the kkth coordinate of zz is zk=fk(a[t])βˆ’fk(a)βˆ’(A h)kz_k=f_k(a[t])-f_k(a)-(A\,h)_k, which by Step 3 equals fk(a[t])βˆ’fk(a)βˆ’Aki tf_k(a[t])-f_k(a)-A_{ki}\,t. By claim 4 of Elementary Properties of the Euclidean Norm on Rn\mathbb{R}^n we have ∣zkβˆ£β‰€βˆ₯zβˆ₯|z_k|\le\lVert z\rVert, so by claim 2 of Elementary Order Arithmetic in an Ordered Field,

∣zkβˆ£β‰€Ξ΅β€²β€‰βˆ£t∣.|z_k|\le\varepsilon'\,|t| .

Since 0<∣t∣0<|t| we have tβ‰ 0t\ne0, so tβˆ’1t^{-1} exists. Put w=zkβ‹…tβˆ’1w=z_k\cdot t^{-1}. Then zk=wβ‹…tz_k=w\cdot t, so ∣zk∣=∣wβˆ£β€‰βˆ£t∣|z_k|=|w|\,|t| by claim 4 of Properties of the Absolute Value in an Ordered Field, and therefore ∣wβˆ£β€‰βˆ£tβˆ£β‰€Ξ΅β€²βˆ£t∣|w|\,|t|\le\varepsilon'|t|. We claim ∣wβˆ£β‰€Ξ΅β€²|w|\le\varepsilon'. Otherwise Ξ΅β€²<∣w∣\varepsilon'<|w|, since the order is total, and then Ξ΅β€²βˆ£t∣<∣wβˆ£β€‰βˆ£t∣\varepsilon'|t|<|w|\,|t| by claim 10 of Elementary Order Arithmetic in an Ordered Field, using 0<∣t∣0<|t|; combined with ∣wβˆ£β€‰βˆ£tβˆ£β‰€Ξ΅β€²βˆ£t∣|w|\,|t|\le\varepsilon'|t| this gives ∣wβˆ£β€‰βˆ£t∣<∣wβˆ£β€‰βˆ£t∣|w|\,|t|<|w|\,|t| by claim 2 of that lemma, which is impossible. Hence ∣wβˆ£β‰€Ξ΅β€²|w|\le\varepsilon', and ∣w∣<Ξ΅|w|<\varepsilon by claim 2 of that lemma together with Ξ΅β€²<Ξ΅\varepsilon'<\varepsilon.

Finally, distributing tβˆ’1t^{-1} over the three terms of zkz_k,

w=fk(a[t])βˆ’fk(a)βˆ’Aki tt=fk(a[t])βˆ’fk(a)tβˆ’Aki,w=\frac{f_k(a[t])-f_k(a)-A_{ki}\,t}{t}=\frac{f_k(a[t])-f_k(a)}{t}-A_{ki},

using (Aki t)β‹…tβˆ’1=Aki(A_{ki}\,t)\cdot t^{-1}=A_{ki}. So every real tt with 0<∣t∣<Ξ΄0<|t|<\delta satisfies a[t]∈Ua[t]\in U and

∣fk(a[t])βˆ’fk(a)tβˆ’Aki∣<Ξ΅.\left|\frac{f_k(a[t])-f_k(a)}{t}-A_{ki}\right|<\varepsilon .

As Ξ΅\varepsilon was an arbitrary positive real, this is precisely the condition of Partial Derivative on a Euclidean Open Set for the partial derivative of fkf_k with respect to the iith variable to exist at aa with value AkiA_{ki}. This proves claim 1.

Step 5 (claim 2). By claim 1 the partial derivative of fkf_k with respect to the iith variable exists at aa for all kk and ii in the stated ranges, so the hypothesis of Jacobian Matrix of a Map Between Euclidean Spaces is met and the Jacobian matrix Df(a)Df(a) is defined. Its entry in row kk and column ii is βˆ‚fk/βˆ‚xi(a)\partial f_k/\partial x_i(a), which equals AkiA_{ki} 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 mm rows and nn columns having equal entries throughout are equal, by Real Matrix and the Set of Real Matrices, so A=Df(a)A=Df(a).

For the uniqueness assertion, let BB be a real matrix with mm rows and nn columns such that ff is differentiable at aa with derivative matrix BB. Applying what has just been proved to BB in place of AA gives B=Df(a)B=Df(a), and hence B=AB=A.

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