How statement and proof provenance work
The first chip identifies the source of the statement or construction; the second identifies the source of its local proof or verification.
- Literature-sourced: the exact statement appears in a cited source; only wording and notation differ.
- AI-adapted: a semantically identical restatement of literature-sourced material, modulo indexing, notation, and boundary cases adopted by the library.
- AI-generated: a genuinely novel statement formulated by AI, with no source for the claim itself.
These labels describe origin, not correctness: citations and verification chips remain separate evidence.
Directional derivatives and partial derivatives of a map
Definition
Let , , , and . If the line map is defined near , its derivative at is the directional derivative
For a standard basis vector (The standard list with and for is an ordered basis of ; hence , and is the zero space with basis and dimension ), is the th partial derivative, written . For , these are ordinary vector-valued one-variable derivatives in the sense of The derivative and the Riemann integral of a vector-valued function: an intrinsic derivative and a componentwise integral.
For , use the zero-space case directly, without invoking that supplier's positive-codomain standing hypothesis. The space has only its zero vector and carries the zero Euclidean norm and its induced metric (The standard list with and for is an ordered basis of ; hence , and is the zero space with basis and dimension clause 5, The Euclidean inner product on , A norm on a real vector space, the induced metric, and the dictionary with the metric axioms). Whenever the line map is defined near , every difference quotient for real is this zero vector; define . This is the unique possible derivative value, and its normwise difference-quotient error is exactly zero for all such , so the real parameter still approaches an actual limit point. Every existing coordinate direction therefore has ; these zero-valued partial maps are continuous in the induced norm metrics. If the source dimension is zero, there are no partial indices and the sole direction is ; its constant line map is defined near .
Depends on
- The derivative and the Riemann integral of a vector-valued function: an intrinsic derivative and a componentwise integral
- Vector-valued functions $f : A \to \mathbb{R}^m$, their limits and continuity, with the dictionary to the metric notions
- The standard list $e : n \to F^{n}$ with $e_i(i) = 1_F$ and $e_i(j) = 0_F$ for $j \ne i$ is an ordered basis of $F^{n}$; hence $\dim_F F^{n} = n$, and $F^{0}$ is the zero space with basis $\varnothing$ and dimension $0$
- The Euclidean inner product $\langle x,y\rangle = \sum_{k<n} x_k y_k$ on $\mathbb{R}^n$
- A norm on a real vector space, the induced metric, and the dictionary with the metric axioms
Used by
- Finite speed of dependence for Hamiltonians Lipschitz in momentum Corollary
- A reflected sphere embedding is regularly homotopic but not isotopic to the standard one Counterexample
- Boundary-scale derivative blowup despite bounded ball data Counterexample
- Minima of viscosity subsolutions need not be subsolutions Counterexample
- The map y(x²+y²)/x off the line x=0, extended by zero on that line, has every directional derivative zero at the origin but is discontinuous there Counterexample
- Wave energy need not be conserved through an open boundary Counterexample
- x²y/(x²+y²) has every directional derivative at the origin but is not totally differentiable there Counterexample
- xy/(x²+y²) has both partial derivatives at the origin but is discontinuous there Counterexample
- Cᵏ maps and multi-index derivative notation in Euclidean space Definition
- Divergence and curl of a C¹ vector field Definition
- Exact and closed C1 vector fields Definition
- Scalar conservation laws, fluxes and Cauchy data Definition
- The Hamilton--Jacobi Cauchy problem and its classical solutions Definition
- The heat operator, the heat equation, and the Cauchy problem Definition
- The Jacobian matrix of partial derivatives and the gradient in the scalar-valued case Definition
- The Wirtinger derivatives ∂_z f and ∂_z̄f, and antiholomorphic functions Definition
- Wave equation, Cauchy data and wave speed Definition
- Wirtinger operators in ℂᵐ Definition
- A clipped affine function keeps its zero region Example
- A gradient-descent path can be bounded below when the objective is not Example
- A Hopf--Lax solution with a forming corner from smooth data Example
- A one-leaf fit can project a nonzero gradient to zero Example
- Distance hessian in euclidean space Example
- Flux normalization on every centered sphere Example
- Half-space Poisson extension of a plane wave Example
- Heat comparison preserves an interval of values Example
- Newtonian potential of radial compact data Example
- Plane-wave support translates at the characteristic speed Example
- Poisson extension fixes coordinate functions Example
- sin(xy) and its mixed partial derivatives Example
- The two-dimensional logarithmic kernel has unit normalized flux Example
- xy sin(1/(x²+y²)) is differentiable at the origin with unbounded partial derivatives nearby Example
- FALSE: continuity alone makes the regular-patch surface-area formula applicable False statement
- A Hessian lower bound gives strong convexity and gradient-gap bounds Lemma
- A Hopf--Lax minimiser satisfies the characteristic Euler relation at differentiability points Lemma
- A rectangular second difference equals a mixed partial times the side lengths Lemma
- An ambient isotopy preserves the orientation of an invariant round sphere Lemma
- Continuous second partials of a scalar potential commute Lemma
- Kelvin inversion transforms harmonic functions Lemma
- Local descent inequality for a Lipschitz gradient on an open segment Lemma
…and 17 more results.
Dependency tree · two levels
66 results within two dependency steps of this one, each drawn at its shortest distance from it. An arrow runs from a result to what uses it, so the chart reads left to right and ends at this result, which carries a heavier outline. Every node is a link to that result. Click elsewhere on the chart to enlarge it.
Sources
- J. Lebl, Basic Analysis I, §8.3 (standard reference, not scraped)