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.
The Inverse and Implicit Function Theorems: Examples and Counterexamples
1 · Prerequisites
- Absolute and Conditional Convergence; Rearrangement; Products
- 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
- Power Series and Real-Analytic Functions
- 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
- Sequences and Series of Functions; Uniform Convergence
- Series: Convergence and the Nonnegative Tests
- Sine, Cosine, and the Definition of Pi
- Suprema and Infima
- The Derivative and the Mean Value Theorems
- The Inverse and Implicit Function 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 unit circle is locally a graph at every point
Example
At every point of the unit circle , the circle is locally the graph of a function of one coordinate.
Facts & Assumptions
Given: No hypotheses beyond those quantified in the statement.
On an open domain, a map satisfying can be solved locally for the second block when is invertible (The Euclidean implicit function theorem with derivative formula).
Direct difference quotients give and ; their displayed affine formulas are continuous. Thus the continuous-partials theorem gives , and is (If all partial derivatives exist on a neighbourhood and are continuous at a point, then the map is totally differentiable there with Jacobian derivative, Continuously differentiable maps, local inverses, and local diffeomorphisms, 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).
Proof
Let . Then [L2] gives . At a point on the circle, at least one of is nonzero.
If , then is multiplication by and is invertible, so [L1] expresses the circle locally as . If , exchange the coordinate blocks and obtain . These alternatives cover every circle point by step 1.1.
The real complex-squaring map is locally but not globally invertible off the origin
Example
For
is invertible exactly when , so is locally invertible off the origin. Nevertheless , and every nonzero target in has exactly two preimages. Thus the inverse function theorem is irreducibly local. At the origin the derivative is not invertible, and zero has only one preimage.
Facts & Assumptions
Given: No hypotheses beyond those quantified in the statement.
A map on an open Euclidean domain with an invertible derivative has a local inverse (The Euclidean inverse function theorem).
Invertibility means the existence of a two-sided linear inverse (Invertible Euclidean linear maps).
Nonnegative reals have unique nonnegative square roots (Square roots exist: a unique with ; the positives are ).
Direct difference quotients give the two coordinate partial-derivative rows and ; these affine entries are continuous. Thus the continuous-partials theorem gives the displayed total derivative, and is (If all partial derivatives exist on a neighbourhood and are continuous at a point, then the map is totally differentiable there with Jacobian derivative, Continuously differentiable maps, local inverses, and local diffeomorphisms).
A metric space is open in itself (The metric topology: a set is open when every one of its points has a ball around it inside the set; closed means open complement).
Proof
The total derivative is The domain is open by [L5], and [L4] makes . If , its inverse is Direct substitution verifies both inverse identities, so [L1] gives local invertibility at every nonzero point. At the derivative is the zero map; moreover every ball about the origin contains distinct and with the same image, so no local inverse exists there.
If , then For , [L3] therefore fixes the positive value , and The square equations and the sign condition leave exactly one pair up to simultaneous negation. Thus there are exactly two preimages.
For the zero target, the identity in step 1.2 forces , hence .
Steps 1.1--2.1 establish every local, global, and origin qualification in the example.
An invertible derivative at one point does not give a local inverse without regularity
Example
Define
Then is differentiable at with , but it is injective on no neighbourhood of . Its derivative is not continuous at , so this does not contradict the inverse function theorem.
Facts & Assumptions
Given: No hypotheses beyond those quantified in the statement.
Derivatives obey the algebra and chain rules; the power rule gives the derivatives of , , and on its nonzero domain; and (Sums, scalar multiples, products and quotients: , , , and when , The chain rule, in one line from Carathéodory: if is differentiable at and is differentiable at , then is differentiable at with , 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, The derivatives of sine and cosine are cosine and minus sine).
Sine and cosine have the integer-multiple values determined by their zero sets, periods, and quarter-turn values (The zero sets of sine and cosine and the least positive common period 2 pi, Quarter-turn values and shifts by pi/2 and pi).
Differentiability implies continuity, and a continuous injective real function on an interval is strictly monotone (A function differentiable at is continuous at , Continuous inverse theorem: a continuous injective on an interval is a bijection onto the order-convex set , and the inverse is continuous and strictly monotone in the same sense as ).
Sine is bounded by in absolute value (Signs, monotonicity intervals, and ranges of sine and cosine).
A derivative is the limit of the relative difference quotient (The derivative of at a point that is a limit point of , and differentiability on a set).
Proof
At zero, because sine is bounded. Thus . For , [L1] gives
For , put and . Both sequences tend to zero; [L2] gives , , and . Thus step 1.1 gives and , so is not continuous at zero.
Suppose were injective on an open interval about zero. It is continuous there because it is differentiable, so [L3] would make it strictly increasing or strictly decreasing. At every differentiability point an increasing function has nonnegative derivative, while a decreasing function has nonpositive derivative, directly from the signs of its difference quotients. Step 2.1 supplies both a negative and a positive derivative in every such interval, a contradiction.
Thus no neighbourhood gives injectivity; step 2.1 also identifies the failure of the hypothesis.
Sources
Standard references
Recommended treatments; not extraction sources.