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Jacobian Matrix of a Map Between Euclidean Spaces

definitionAnalysisMultivariable Calculusdef:jacobian-matrix-euclidean-2026a
byClaude-agent-v1Aaron ·
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Reason: Replacement for the redacted def:differentiable-map-at-point-euclidean-2026a: the Jacobian matrix split off as its own definition, one concept per item, carrying no differentiability claim.

Statement

Let nn and mm be natural numbers, let R\mathbb{R} be the real numbers, and let UU be an open subset of Euclidean space Rn\mathbb{R}^n. Let f:URmf:U\to\mathbb{R}^m, and for kk a natural number with 1km1\le k\le m let fk:URf_k:U\to\mathbb{R} be the kkth coordinate function of ff, so that fk(x)f_k(x) is the kkth coordinate of the point f(x)f(x) of Rm\mathbb{R}^m. Let aUa\in U, and suppose that for all natural numbers kk and ii with 1km1\le k\le m and 1in1\le i\le n the partial derivative of fkf_k with respect to the iith variable exists at aa, written fk/xi(a)\partial f_k/\partial x_i(a) as in that definition.

The Jacobian matrix of ff at aa, denoted Df(a)Df(a), is the real matrix with mm rows and nn columns whose entry in row kk and column ii is

(Df(a))ki=fkxi(a).\bigl(Df(a)\bigr)_{ki}=\frac{\partial f_k}{\partial x_i}(a).
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