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.
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These labels describe origin, not correctness: citations and verification chips remain separate evidence.
The Total Derivative: Examples and Counterexamples
1 · Prerequisites
- Binary Operations, Monoids, Groups and Subgroups
- Compactness in Metric Spaces
- Completeness, Completion, and Uniform Continuity
- Construction of the Natural Numbers
- Construction of the Real Numbers via Cauchy Sequences
- Construction of the Real Numbers via Dedekind Cuts
- Continuity, IVT, EVT, and Uniform Continuity
- Countability and Uncountability
- Filters and Ultrafilters
- Foundations of the Real Numbers for Analysis
- Limits of Real Functions
- limsup, liminf, and Subsequential Limits
- Linear Independence, Bases and Dimension
- Linear Transformations, Rank-Nullity and Quotient Spaces
- Metric Spaces
- Monotone Functions, Discontinuities, and Continuity Sets
- Monotone Sequences, Bolzano-Weierstrass, and Cauchy Completeness
- Order, Zorn's Lemma, and the Axiom of Choice
- Properties of the Integral and the Working FTC
- Relations, Functions, and Quotients
- Rings, Subrings, Integral Domains and Fields
- Rⁿ as a Normed Space; Vector-Valued Functions
- Roots, Rational Powers, and Classical Inequalities
- Sequences and Limits
- Suprema and Infima
- The Derivative and the Mean Value Theorems
- The Riemann Integral: Definition and Integrability
- The Total Derivative in ℝᵐ → ℝⁿ
- The ZFC Axioms and the Basic Set Constructions
- Topology of ℝ
- Vector Spaces, Linear Subspaces, Span and Direct Sums
2 · Summary
3 · Logical flowchart
4 · Definitions, theorems and proofs
None yet.
5 · Examples, counterexamples and false statements
The polynomial map and its Jacobian
Example
Let . Then is totally differentiable everywhere and
Facts & Assumptions
Given: The polynomial map .
The function is differentiable everywhere with derivative for positive natural (For a natural the function is differentiable everywhere with derivative ; for it is the constant , with derivative ; for a natural the function is differentiable at every with derivative ; consequently every polynomial function is differentiable at every real, with the derivative computed term by term).
Continuous partial derivatives imply total differentiability with Jacobian derivative (If all partial derivatives exist on a neighbourhood and are continuous at a point, then the map is totally differentiable there with Jacobian derivative).
Verification
The four partial derivatives are , , , and , by [L1] and derivative algebra.
These polynomial partial derivatives are continuous everywhere, so [L2] gives total differentiability and identifies the derivative with the displayed Jacobian.
Directly, the increment remainder is , whose norm divided by tends to zero, agreeing with step 2.1.
has both partial derivatives at the origin but is discontinuous there
Statement refuted
If both partial derivatives of a real function exist at a point, then the function is continuous there.
Facts & Assumptions
Given: The function and when .
Partial derivatives are directional derivatives in the standard basis directions (Directional derivatives and partial derivatives of a map ).
A map is continuous at if its values tend to as the input tends to (Continuity of a map between metric spaces, at a point and globally, in the - form).
Counterexample
Both axis restrictions of are identically zero, so [L1] gives .
On the punctured diagonal , .
As but the values in step 2.1 do not tend to , [L2] shows that is discontinuous at the origin.
tends to zero on every line through the origin but not along
Statement refuted
If a function tends to its proposed value along every straight line through a point, then it is continuous at that point.
Facts & Assumptions
Given: and away from the origin.
A vector-valued map is continuous at when its limit at equals its value there (Vector-valued functions , their limits and continuity, with the dictionary to the metric notions).
Counterexample
On a line with , ; for the restriction is identically zero.
Along the parabola with , .
The nonlinear path tends to the origin but its values do not tend to , so [L1] shows that is not continuous there despite all straight-line tests.
has every directional derivative at the origin but is not totally differentiable there
Statement refuted
If every directional derivative of a real function exists at a point, then the function is totally differentiable there.
Facts & Assumptions
Given: and away from the origin.
The directional derivative is the derivative of at zero (Directional derivatives and partial derivatives of a map ).
A total derivative computes every directional derivative, so would be the linear map applied to (A total derivative computes every directional derivative, and its matrix is the Jacobian).
Counterexample
For , , so [L1] gives ; for it is .
This direction map has value at and but value at their sum , so it is not additive.
By [L2], total differentiability would make the directional-derivative map linear, contradicting step 2.1. Thus is not totally differentiable at the origin.
The map off the line , extended by zero on that line, has every directional derivative zero at the origin but is discontinuous there
Statement refuted
If every directional derivative at a point is zero, then the function is continuous there.
Facts & Assumptions
Given: for , and .
The directional derivative is the derivative of at zero (Directional derivatives and partial derivatives of a map ).
Total differentiability gives a local increment bound and therefore continuity (Total differentiability gives a local increment bound and therefore continuity).
Counterexample
Along , the restriction is when and is when ; [L1] therefore gives zero directional derivative in every direction.
Along the curve with , .
Thus is discontinuous at the origin, and by [L2] it cannot be totally differentiable there either.
A locally constant step map on the disconnected open set has zero total derivative but is not globally Lipschitz
Statement refuted
A uniform total-derivative bound on every open domain implies a global Lipschitz bound on that domain.
Facts & Assumptions
Given: and defined by for and for .
In the total-derivative definition, the normalized remainder tends to zero as tends to zero (The total (Fréchet) derivative as the linear first-order approximation with remainder).
A map is Lipschitz with constant when for every pair of points in its domain (Lipschitz map, -Hölder map for rational , and contraction).
Counterexample
Each has a small interval contained in its own component of , on which is constant; hence by [L1].
For any , take . The points satisfy , so [L2] fails for that .
The segment from to contains , so is not convex; this is exactly the omitted hypothesis of the mean-value inequality.
Sources
Standard references
Recommended treatments; not extraction sources.