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The Inverse Function Theorem Completed: 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
- Connectedness
- 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
- Determinants of Matrices over a Commutative Ring
- Filters and Ultrafilters
- Finite Counting, Factorials and Binomial Coefficients
- Foundations of the Real Numbers for Analysis
- Fubini and Change of Variables
- Fundamental Trigonometric Identities
- Group Actions, Orbits, Stabilisers and Cayley's Theorem
- Limits of Real Functions
- limsup, liminf, and Subsequential Limits
- Linear Independence, Bases and Dimension
- Linear Transformations, Rank-Nullity and Quotient Spaces
- Matrices, the Matrix of a Linear Map, and Change of Basis
- Metric Spaces
- Mixed Partials, Taylor Formulae, and Extrema
- Monotone Functions, Discontinuities, and Continuity Sets
- Monotone Sequences, Bolzano-Weierstrass, and Cauchy Completeness
- Order, Zorn's Lemma, and the Axiom of Choice
- Polynomial Rings, the Division Algorithm and Roots
- 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
- Subspaces, Products, and Quotients
- Suprema and Infima
- Symmetric Groups, Cycle Decomposition and the Sign Homomorphism
- The Derivative and the Mean Value Theorems
- The Determinant of a Linear Operator, Cofactors and Cramer's Rule
- The Exponential Function
- The Inverse and Implicit Function Theorems
- The Inverse Function Theorem Completed
- The Riemann Integral: Definition and Integrability
- The Topology of Euclidean Space
- The Total Derivative in ℝᵐ → ℝⁿ
- The ZFC Axioms and the Basic Set Constructions
- Topological Spaces and Continuity
- 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
Polar coordinates are a local diffeomorphism away from zero radius
Example
For
the restriction to either half-plane or is a local diffeomorphism. It is locally orientation-preserving when and locally orientation-reversing when . On it is a diffeomorphism onto its open image, but on it is not injective.
Facts & Assumptions
Given: The polar map above, the inverse-function consequence An injective regular map is a diffeomorphism onto its image, the Pythagorean identity Parity and the Pythagorean identity for sine and cosine, the fundamental period of sine and cosine The zero sets of sine and cosine and the least positive common period 2 pi, and their bijective parametrization of the unit circle on a half-open interval is a bijection from onto the real unit circle.
The functions and are differentiable on , with and (The derivatives of sine and cosine are cosine and minus sine).
A regular map is locally orientation-preserving where and locally orientation-reversing where (Local orientation of a regular Euclidean map).
Products of differentiable real functions are differentiable and satisfy the product rule (Sums, scalar multiples, products and quotients: , , , and when ).
A Euclidean map with invertible derivative at a point restricts to a diffeomorphism between neighbourhoods of that point and its image (The Euclidean inverse function theorem).
Verification
By [L1] and [L3], Thus [L4] and [L2] give the asserted local diffeomorphism and orientation wherever .
On the principal strip, equality of two images first gives equality of the positive radii by the Pythagorean identity. Translating each negative angle by puts both angles into the half-open interval of the unit-circle parametrization without changing sine or cosine; its injectivity then gives equality of the original angles. The injective regular-map theorem makes this restriction a diffeomorphism onto its open image. On the full positive-radius domain, and are distinct with the same image, so global injectivity fails there.
The map is a diffeomorphism off the vertical axis
Example
Let . The map
is a smooth diffeomorphism with inverse . The same formula on all of omits every point with .
Facts & Assumptions
Given: The map above.
An injective regular map has open image and is a diffeomorphism onto that image (An injective regular map is a diffeomorphism onto its image).
Finite componentwise products of Euclidean maps are ( Euclidean maps are closed under componentwise algebra and composition).
Verification
The coordinate functions are smooth, so [L2] makes smooth. For an increment , Since , the remainder divided by tends to zero. Hence On , direct substitution gives and .
Step 1.1 verifies the hypotheses and conclusion of [L1], so is a smooth diffeomorphism. On the full plane, for every , and hence no point with lies in its image.
Two equations implicitly determine two variables near the origin
Example
Near , the system
determines unique smooth functions and with . Their derivatives at zero are and .
Facts & Assumptions
Given: Put and . Sums and scalar multiples use Sums and scalar multiples of totally differentiable maps are totally differentiable with the expected derivatives and Sums, scalar multiples, products and quotients: , , , and when .
Let and , let be open, and let be . If and is invertible, then on suitable neighbourhoods there is a unique map with exactly when , and along its graph (The parametrized implicit function theorem with regularity).
The real exponential function is and has derivative equal to itself (The exponential function is smooth and ).
For every integer , the derivative of is (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 derivative of a composite is the product of the outer derivative at the inner value and the inner derivative (The chain rule, in one line from Carathéodory: if is differentiable at and is differentiable at , then is differentiable at with ).
Finite componentwise sums, products, scalar multiples, and composites of Euclidean maps are ( Euclidean maps are closed under componentwise algebra and composition).
Verification
Repeated use of [L3] and [L5] makes the polynomial terms smooth, while [L2] and [L5] make the exponential terms smooth; hence is smooth. Direct substitution gives , and [L2]–[L4] give whose determinant is , while .
Step 1.1 satisfies [L1], so unique smooth solve the system near zero. Its derivative formula gives .
is a bijection whose inverse is not differentiable at zero
Statement refuted
A bijection between open subsets of the real line must be a diffeomorphism.
The counterexample below establishes: The map is a smooth open bijection of with derivative zero at the origin, but its inverse is not differentiable there.
Facts & Assumptions
Given: The map , the and diffeomorphism conventions (Continuously differentiable maps, local inverses, and local diffeomorphisms, Euclidean maps and diffeomorphisms), and the fact that a continuous strictly monotone function on an interval has a continuous inverse 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 .
For every integer , is differentiable 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).
If differentiable functions are composable, then their composite is differentiable and its derivative is the product of the two derivatives (The chain rule, in one line from Carathéodory: if is differentiable at and is differentiable at , then is differentiable at with ).
A differentiable real function is continuous, and a continuous injective function on an interval has a continuous inverse onto its image (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 ).
Sums and scalar multiples of differentiable real functions are differentiable with the expected derivatives (Sums, scalar multiples, products and quotients: , , , and when ).
The constant power has derivative zero (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).
Every nonnegative real has a unique nonnegative cube root (Existence and uniqueness of -th roots: a unique with ).
The cube function is strictly increasing on the nonnegative reals (Monotonicity of and of ).
Counterexample
By [L1], [L4], and [L5], the successive derivatives of the cube map are , , , and then zero, so it is smooth. By [L7], the cube is strictly increasing on the nonnegative half-line; the identity then gives strict increase on the whole line. For , [L6] supplies with , while for the negative of the cube root of maps to . Thus the cube map is onto and hence bijective. By [L3] it and its inverse are continuous, so it is a homeomorphism and therefore open. Its derivative at zero is zero.
Suppose its inverse were differentiable at zero. Applying [L2] to at zero would give , but step 1.1 makes the left side zero. Therefore the inverse is not differentiable at zero. The map is a smooth open bijection of with derivative zero at the origin, but its inverse is not differentiable there.
Zero derivative need not give constancy on a disconnected open set
Statement refuted
If a differentiable real function has derivative zero at every point of an open domain, then it is constant on that domain.
The counterexample below establishes the true witness clause: The total derivative of is zero at every point of , but is not constant on .
Facts & Assumptions
Given: Let and define to equal on and on .
The total derivative is the linear map whose remainder in the first-order approximation is little-oh of the displacement (The total (Fréchet) derivative as the linear first-order approximation with remainder).
Counterexample
Every point of has a neighbourhood contained in exactly one component, and is constant there. The zero linear map therefore leaves a zero remainder in [L1], so for every .
The values at and are respectively and . Thus the total derivative of is zero at every point of , but is not constant on .
FALSE: an invertible derivative at one point gives a local inverse
Statement
False claim: if a real function is differentiable at and , then it has a local inverse at in the sense of Continuously differentiable maps, local inverses, and local diffeomorphisms.
Facts & Assumptions
Given: Define and for . We use derivative algebra, the chain and power rules (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), boundedness of sine Signs, monotonicity intervals, and ranges of sine and cosine, and differentiability implying continuity A function differentiable at is continuous at .
A real function is differentiable at when its relative difference quotient has a finite limit (The derivative of at a point that is a limit point of , and differentiability on a set).
The derivatives of sine and cosine satisfy and (The derivatives of sine and cosine are cosine and minus sine).
Both sine and cosine have period (The zero sets of sine and cosine and the least positive common period 2 pi).
The quarter-turn values include , , , and (Quarter-turn values and shifts by pi/2 and pi).
A continuous injective real function on an interval is strictly monotone (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 ).
Refutation
By [L1], , so . For , the algebra, chain, and power rules with [L2] give
Put and for . By [L3] and [L4], step 1.1 gives and . Both sequences tend to zero, so derivatives of both signs occur in every neighbourhood of zero.
Suppose were injective on an interval about zero. It is continuous there, so [L5] would make it strictly increasing or strictly decreasing. Difference quotients show that the derivative of an increasing differentiable function is nonnegative and that of a decreasing one is nonpositive, contradicting step 2.1. Thus is invertible but no local inverse exists.
FALSE: an everywhere-invertible derivative gives a global inverse
Statement
False claim: a map between open subsets of whose derivative is invertible everywhere must have a global inverse.
Facts & Assumptions
Given: On the punctured plane define . The domain is open (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), and scalar derivative algebra is supplied by Sums, scalar multiples, products and quotients: , , , and when and Continuously differentiable maps, local inverses, and local diffeomorphisms.
If is on an open Euclidean domain and is invertible, the inverse function theorem supplies open neighbourhoods on which has a inverse (The Euclidean inverse function theorem).
A Euclidean linear map is invertible when it has a two-sided linear inverse (Invertible Euclidean linear maps).
Continuous partial derivatives give total differentiability, with total derivative represented by the Jacobian matrix (If all partial derivatives exist on a neighbourhood and are continuous at a point, then the map is totally differentiable there with Jacobian derivative).
Refutation
By [L3], At , the matrix is its two-sided inverse, so [L2] and [L1] make locally invertible at every point of .
Nevertheless . Thus is not injective and has no global inverse, despite its everywhere-invertible derivative.
FALSE: every bijection has a inverse
Statement
False claim: every bijection between open subsets of Euclidean space has a inverse.
Facts & Assumptions
Given: No assumptions beyond the false claim.
The map is a smooth open bijection of with derivative zero at the origin, but its inverse is not differentiable there ( is a bijection whose inverse is not differentiable at zero).
Refutation
The map in [L1] satisfies the bijection hypothesis of the false claim.
Its inverse fails even to be differentiable at zero by [L1], and therefore cannot be . Hence the claim is false.
FALSE: zero derivative on an open set forces constancy
Statement
False claim: if a differentiable map has zero derivative at every point of an open Euclidean domain, then it is constant.
Facts & Assumptions
Given: No connectedness hypothesis is imposed in the false claim.
There is an open set and a function on it whose total derivative is zero at every point of , but which is not constant on (Zero derivative need not give constancy on a disconnected open set).
If is nonempty, open, and connected, then on if and only if is constant on (A differentiable map on a connected open Euclidean set has zero derivative exactly when it is constant).
Refutation
The construction in [L1] satisfies the derivative hypothesis and violates the conclusion, so it refutes the claim.
The comparison with [L2] identifies connectedness as the missing hypothesis: adding it restores exactly the stated equivalence.
FALSE: every open map has invertible derivative
Statement
False claim: every open map between open subsets of Euclidean space has invertible derivative at every point.
Facts & Assumptions
Given: No assumptions beyond the false claim.
The map is a smooth open bijection of with derivative zero at the origin, but its inverse is not differentiable there ( is a bijection whose inverse is not differentiable at zero).
A map with everywhere-invertible derivative is an open map (A map with everywhere-invertible derivative is open).
Refutation
The cube map in [L1] is open and , but its derivative at zero is the zero linear map, which is not invertible.
Therefore openness does not imply derivative invertibility. The valid result [L2] is only the forward sufficient implication from derivative invertibility to openness.
Sources
- J. Lebl, Basic Analysis II, Exercise 8.5.8
- University of Toronto MAT237, §3.3
- J. Lebl, Basic Analysis II, Example 8.5.3
- J. Lebl, Basic Analysis II, Example 8.5.7
- J. Lebl, Basic Analysis II, Exercise 8.5.4
- S. Cañez, Northwestern Math 320-2 lecture notes
- J. Lebl, Basic Analysis II, Exercise 8.5.7
- J. Lebl, Basic Analysis II, Example 8.5.4
- J. Lebl, Basic Analysis II, §8.5