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These labels describe origin, not correctness: citations and verification chips remain separate evidence.
Constant Rank, Submersions, Immersions and Regular Level Sets: Examples and Counterexamples
1 · Prerequisites
- Binary Operations, Monoids, Groups and Subgroups
- Compactness in Metric Spaces
- Completeness, Completion, and Uniform Continuity
- Connectedness
- Constant Rank, Submersions, Immersions and Regular Level Sets
- 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
- Cosets, Index and Lagrange's Theorem
- Countability and Uncountability
- Determinants of Matrices over a Commutative Ring
- Divisibility, Euclidean Domains, Principal Ideal Domains and Unique Factorisation
- Dual Spaces, Bilinear and Quadratic Forms, and Sylvester's Law of Inertia
- Filters and Ultrafilters
- Finite Counting, Factorials and Binomial Coefficients
- Foundations of the Real Numbers for Analysis
- Gaussian Elimination, Elementary Matrices and Reduced Row Echelon Form
- Group Actions, Orbits, Stabilisers and Cayley's Theorem
- Ideals, Quotient Rings and the Isomorphism Theorems for Rings
- Inner Product Spaces, Gram-Schmidt, Projections and Adjoints
- 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
- Normal Subgroups and Quotient Groups
- Order, Zorn's Lemma, and the Axiom of Choice
- Polynomial Rings, the Division Algorithm and Roots
- 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
- Simple Field Extensions and the Construction of the Complex Numbers
- 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 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
A Euclidean sphere is a regular level set with tangent hyperplanes
Example
For , the sphere is the regular level of . At ,
Facts & Assumptions
Given: A radius and on , with .
The Euclidean norm satisfies (The -norms for rational , and , The Euclidean inner product on ). The power rule and one-variable derivative algebra give the continuous Jacobian row , and continuous partial derivatives imply (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, Sums, scalar multiples, products and quotients: , , , and when , The Jacobian matrix of partial derivatives and the gradient in the scalar-valued case, If all partial derivatives exist on a neighbourhood and are continuous at a point, then the map is totally differentiable there with Jacobian derivative).
A regular level is locally a graph, its tangent space is the derivative kernel, and its tangent vectors are exactly its curve velocities (A regular level set is locally a graph of dimension , The tangent space to a regular level set, Tangent vectors to a regular level set are exactly its curve velocities).
Verification
By [L1], and .
If lies on the sphere, then and , so is surjective.
Thus is a regular value. By [L2], the sphere is locally a graph and , with the same set realized by curve velocities.
Negative levels are empty and hence regular by the vacuous convention; the zero level is and is critical because . Neither boundary case is included in the positive-radius claim.
A positive-definite quadratic ellipsoid is a regular level set
Example
Let be a symmetric positive-definite real matrix and put . The ellipsoid is a regular level set, and
Facts & Assumptions
Given: A symmetric positive-definite matrix and the quadratic function .
Positive definiteness means for every (Positive definite, negative definite, semidefinite, and indefinite quadratic forms, The Euclidean inner product on ).
The power and product rules give continuous partial derivatives for ; the Jacobian and continuous-partials theorem therefore give for symmetric (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, Sums, scalar multiples, products and quotients: , , , and when , The Jacobian matrix of partial derivatives and the gradient in the scalar-valued case, If all partial derivatives exist on a neighbourhood and are continuous at a point, then the map is totally differentiable there with Jacobian derivative).
At a regular level point, the level is locally a graph and its tangent space is the derivative kernel (A regular level set is locally a graph of dimension , The tangent space to a regular level set).
Verification
If , then by [L1], and because would give .
By [L2], , so is a nonzero functional and hence surjective onto .
Therefore is a regular value, and [L3] gives .
The calculation also shows that no singular point can occur on the asserted level; positive definiteness and the level value exclude the only possible degeneracy .
The graph of a Euclidean map is a regular level set
Example
Let be , , and define by . Then is a regular value, is the graph of , and
Facts & Assumptions
Given: The map and the associated map .
Finite sums and scalar multiples of Euclidean maps are , coordinate maps are componentwise, and total-derivative algebra gives ( Euclidean maps are closed under componentwise algebra and composition, Euclidean maps and diffeomorphisms, Sums and scalar multiples of totally differentiable maps are totally differentiable with the expected derivatives).
A regular level is locally a graph and has tangent space equal to the derivative kernel (A regular level set is locally a graph of dimension , The tangent space to a regular level set).
Verification
The equation is equivalent to , so is precisely the graph.
By [L1], for every , so is surjective at every point and is a regular value.
Solving gives , and [L2] identifies this kernel with the displayed tangent space.
The graph conclusion holds on the whole open set , including when is empty, in which case both sides are empty.
The one-sheeted hyperboloid is a regular surface of revolution
Example
The one-sheeted hyperboloid is a regular level set and the surface obtained by rotating the profile in the half-plane , , about the -axis.
Facts & Assumptions
Given: The polynomial .
The power rule and derivative algebra give the continuous Jacobian row , and the continuous-partials theorem makes (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, Sums, scalar multiples, products and quotients: , , , and when , The Jacobian matrix of partial derivatives and the gradient in the scalar-valued case, If all partial derivatives exist on a neighbourhood and are continuous at a point, then the map is totally differentiable there with Jacobian derivative).
Every positive real has a unique positive square root (Existence and uniqueness of -th roots: a unique with ); a regular level is locally a graph with tangent space equal to the derivative kernel (A regular level set is locally a graph of dimension , The tangent space to a regular level set).
Verification
On the point cannot be , so the coefficient vector in [L1] is nonzero and is surjective onto .
The level equation is . By [L2], for each its horizontal section is the circle of positive radius , exactly the rotation of the stated profile.
Hence is a regular value, and [L2] gives tangent plane at .
The radius never vanishes, so the rotation has no apex or rank-drop point; steps 1.1 and 1.2 establish both asserted properties.
The orthogonal group is a regular level set of dimension
Example
Let . Identify with entrywise, and identify the symmetric real matrices with by listing the entries in the positions with . Under these identifications let so that is a map between Euclidean spaces of dimensions and .
Then is , its derivative is , and is a regular value of . Consequently is a regular level set: near each of its points it is a graph of dimension and its tangent space at is of dimension .
At the target dimension equals the source dimension, , and the graph dimension is : the two points are isolated.
Facts & Assumptions
Given: A natural number , the entrywise identifications above, and the map with components for .
Each component is a polynomial in the entries of , so its partial derivatives of every order exist and are again polynomials, hence continuous (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, Sums, scalar multiples, products and quotients: , , , and when ). A map each of whose components is for every is ( Euclidean maps and diffeomorphisms), and a map whose partial derivatives exist near a point and are continuous there is totally differentiable there (If all partial derivatives exist on a neighbourhood and are continuous at a point, then the map is totally differentiable there with Jacobian derivative).
If is totally differentiable at , then the directional derivative exists for every and equals (A total derivative computes every directional derivative, and its matrix is the Jacobian).
A map is a submersion at a point when its derivative there is surjective, and a value is regular when every point of its fibre is a submersion point (Submersions and immersions between Euclidean open sets, Regular and critical points, regular and critical values, and level sets).
Near each of its points a regular level set of a map is a graph of dimension , and its tangent space at such a point is the kernel of the derivative (A regular level set is locally a graph of dimension , The tangent space to a regular level set).
A linear map is injective exactly when its kernel is trivial, and for a linear map on a finite-dimensional space the dimension of the space is the sum of the dimensions of the kernel and the image (The kernel and image are linear subspaces, and a linear map is injective if and only if its kernel is trivial, Rank-nullity: ).
Verification
By [L1], is and totally differentiable at every .
Let , so . If then , so by [L5] the map is injective and therefore, its kernel being trivial, surjective on ; hence is invertible and , so also .
Fix . Then , a polynomial in with matrix coefficients, so its derivative at is . By [L2] this directional derivative is , so . This matrix is symmetric, as the target requires.
Let be symmetric and put . Then , and gives . By step 2.1, , so is surjective onto .
By [L3], every point of is a submersion point, so is a regular value and is a regular level set.
By [L4] with and , near each of its points is a graph of dimension , and .
If and , then by step 1.2 and , so . Conversely, if , put ; then and by step 1.2. Hence .
The map is linear and injective, because is invertible by step 1.2, so by [L5] its image has the dimension of its domain. A skew-symmetric matrix is determined freely by its entries strictly above the diagonal and has zero diagonal, so the skew-symmetric matrices have dimension , and .
At the source and target both have dimension , , and , on which ; the graph dimension is , so each point is isolated, and the skew-symmetric matrices are , in agreement with step 7.1.
The cone has a rank drop at its apex
Statement refuted
A level set of a smooth map need not have constant derivative rank. For , the zero level is regular away from its apex and has derivative rank at the apex.
Facts & Assumptions
Given: The smooth map , .
The power rule and derivative algebra give the continuous Jacobian row , which is the total derivative by the continuous-partials theorem, and polynomial coordinate expressions are smooth (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, Sums, scalar multiples, products and quotients: , , , and when , The Jacobian matrix of partial derivatives and the gradient in the scalar-valued case, If all partial derivatives exist on a neighbourhood and are continuous at a point, then the map is totally differentiable there with Jacobian derivative, Euclidean maps are closed under componentwise algebra and composition).
A point is regular exactly when its derivative is surjective, and the regular-level graph theorem requires that hypothesis (Regular and critical points, regular and critical values, and level sets, A regular level set is locally a graph of dimension ).
Counterexample
The equation is , the double cone, and [L1] gives . Thus the derivative rank at the apex is .
If lies on the cone, then the row is nonzero, so the derivative has rank and is surjective.
The rank therefore drops at the apex. Moreover the cone contains the rays with directions , , and , which span ; no single two-dimensional tangent plane at the apex contains all their velocities, so [L2] cannot supply a regular graph there.
This explicit smooth map refutes constant rank on its level and isolates the failure at the critical apex.
The cusp has a rank drop at the origin
Statement refuted
A polynomial level curve need not be regular everywhere. The zero level of has derivative rank away from the origin and rank at the origin.
Facts & Assumptions
Given: The polynomial and the curve .
The power rule and derivative algebra give the continuous Jacobian row and ; the continuous-partials theorem identifies that row 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, Sums, scalar multiples, products and quotients: , , , and when , The Jacobian matrix of partial derivatives and the gradient in the scalar-valued case, If all partial derivatives exist on a neighbourhood and are continuous at a point, then the map is totally differentiable there with Jacobian derivative, The derivative and the Riemann integral of a vector-valued function: an intrinsic derivative and a componentwise integral).
Regularity means surjectivity of the derivative, and a regular level is locally a graph (Regular and critical points, regular and critical values, and level sets, A regular level set is locally a graph of dimension ).
Counterexample
One has , so the parametrized cusp lies in the zero level, and [L1] gives and .
If lies on , then , so has rank and is surjective onto .
Hence the derivative rank drops precisely at the cusp point. The two values for prevent a graph there, while the relation is not differentiable at , in accord with the missing hypothesis in [L2].
The polynomial level curve therefore supplies the claimed rank-drop counterexample.
The map has nonconstant rank on every neighbourhood of the origin
Example
For , the derivative has rank on the vertical axis and rank off it. Thus no neighbourhood of has constant rank, although is continuous.
Facts & Assumptions
Given: The polynomial map , .
The power and product rules give the continuous partial derivatives , and the continuous-partials theorem identifies this Jacobian with the total derivative (The Jacobian matrix of partial derivatives and the gradient in the scalar-valued case, 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, Sums, scalar multiples, products and quotients: , , , and when , If all partial derivatives exist on a neighbourhood and are continuous at a point, then the map is totally differentiable there with Jacobian derivative).
A square matrix has rank exactly when its determinant is nonzero, while its nonzero first row gives rank at least ; every point of an open set has a ball contained in it (A matrix has rank at least exactly when it has a nonzero -rowed minor, The rank of a derivative and constant-rank Euclidean maps, 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).
Verification
By [L1], . Thus [L2] gives rank when and rank exactly when .
Every open ball about the origin contains and also for some nonzero sufficiently small .
Step 1.1 assigns different ranks to those points, so no neighbourhood of the origin has constant rank. The polynomial entries in [L1] are continuous, proving the final assertion.
A critical value can have a smooth level set
Statement refuted
A critical value need not have a singular level set. For , the value is critical although is the vertical line.
Facts & Assumptions
Given: The polynomial map , .
The power rule gives the continuous Jacobian row , and the continuous-partials theorem identifies it 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 Jacobian matrix of partial derivatives and the gradient in the scalar-valued case, If all partial derivatives exist on a neighbourhood and are continuous at a point, then the map is totally differentiable there with Jacobian derivative).
A value is critical when some point of its fibre has nonsurjective derivative (Regular and critical points, regular and critical values, and level sets), while the graph of a map is a regular level set for a suitable defining map (The graph of a Euclidean map is a regular level set).
Counterexample
The equation is equivalent to , so , the graph of the zero function over the -axis.
By [L1], for every point of this fibre, so it is not surjective and [L2] makes a critical value of .
The same underlying set is a smooth line and, after swapping coordinates, is the graph covered by [L2]. Thus criticality of this defining function does not force singularity of the set.
Lagrange multipliers locate the extrema of a linear functional on a sphere
Example
Let , let , and let . On the sphere , the linear functional has maximum and minimum . If , they occur uniquely at and respectively; if , every point is both a maximum and a minimum.
Facts & Assumptions
Given: A natural , the radius , vector , objective , and constraint .
The sphere constraint is regular, and the one-constraint multiplier rule gives at every constrained local extremum (A Euclidean sphere is a regular level set with tangent hyperplanes, For one regular constraint, the objective gradient is a scalar multiple of the constraint gradient).
Cauchy-Schwarz gives , with equality precisely for linearly dependent vectors (Cauchy-Schwarz with its equality case, the triangle inequality for , the parallelogram law and polarisation, The Euclidean inner product on ).
Verification
If , [L1] gives . The constraint forces , and direct substitution gives the values .
By [L2], every constrained point satisfies , with equality only at the two points from step 1.1.
Hence those points are the unique global extrema when . When , is identically zero, so every constrained point is both an extremum.
Two constraints on a sphere-plane circle, where one multiplier solution is only a local maximum
Example
Let , let , and let , the unit circle in the plane . The derivative is surjective at every point of , so the two-constraint multiplier rule applies there, and its equation for the objective has exactly four solutions on :
On the objective has maximum , attained only at , and minimum , attained exactly at and . The fourth solution has , which is neither of those values, and it is nevertheless a strict local maximum of on : for every with .
So the multiplier equation does not, by itself, separate a global extremum from a merely local one. Every one of its solutions here is a local extremum of on , and three of the four are global; deciding which is which took a separate argument.
Facts & Assumptions
Given: The maps and on , the value , and . Extrema on are constrained extrema, comparing only at points of : a point is a local extremum of on when for some either for every with , or for every such ; it is a strict local maximum of on when for some , for every with . This is the sense of "local maximum or minimum of subject to " in [L3]; [L4] is the unconstrained notion, comparing at every nearby point of the open set on which it is defined.
A polynomial in one real variable is differentiable with the derivative computed by the power, sum and product rules, so each partial derivative of and of the components of is again a polynomial and hence continuous; a map whose partial derivatives exist near a point and are continuous there is totally differentiable there, with derivative the Jacobian matrix (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, Sums, scalar multiples, products and quotients: , , , and when , If all partial derivatives exist on a neighbourhood and are continuous at a point, then the map is totally differentiable there with Jacobian derivative, The Jacobian matrix of partial derivatives and the gradient in the scalar-valued case).
A map is a submersion at a point when its derivative there is surjective, and a matrix has rank at least exactly when some -rowed minor is nonzero (Submersions and immersions between Euclidean open sets, A matrix has rank at least exactly when it has a nonzero -rowed minor).
If is a local maximum or minimum of a objective subject to with of class , and is surjective, then there is a unique with ; the condition is necessary and not sufficient (Lagrange multipliers for a regular vector-valued level-set constraint).
For open, and , the point is a local minimum when some Euclidean neighbourhood of satisfies for every , and a strict local minimum when the inequality is strict for ; local and strict local maxima reverse these inequalities (Local and strict local extrema for scalar fields on Euclidean open sets). The Euclidean norm is (The -norms for rational , and ).
Verification
By [L1], and are , with and with the two rows of equal to and .
A point lies in exactly when and . Writing on gives , so and ; moreover because , so and .
For and , expanding gives . So on the distance to determines and increases with it.
At a point of the two-rowed minor of from columns is and the minor from columns is , and forces , so one of them is nonzero and has rank . By [L2], is surjective at every point of .
By step 1.2, on the value of at a point with is , and with equality exactly when , while for , with equality exactly when . Hence on , with equality exactly at the points where , and on , with equality exactly at the points where .
By step 1.2 and step 1.3, a point of with has , that is ; and there, because while .
On , forces , hence and ; and forces , hence . Both loci are therefore nonempty, so by step 2.2 the bounds are attained: the maximum of on is , only at , and the minimum is , exactly at and .
By step 2.1 and [L3], every local extremum of on satisfies for a unique ; by step 1.1 this reads , and , the last of which only determines . Subtracting the second equation from the first gives .
By step 1.2 and step 2.3, , and for every with . So is a strict local maximum of on , with .
If , then gives and , so the point is or , and both satisfy the equations of step 3.2 with , which is defined because . If instead , the first equation gives , so , and by step 3.1 the points are and , which satisfy all three equations with . The two cases cannot both hold, since and give . So are exactly the solutions of the multiplier equation on .
By step 3.1 the maximum and the minimum of on are attained at , and , each of which is among the four solutions of step 4.1, as [L3] requires. By step 3.3 the remaining solution is a strict local maximum whose value is neither the maximum nor the minimum, because follows from . So the multiplier equation is satisfied at a point that is a local but not a global extremum, and satisfying it does not decide which.
FALSE: every level set of a smooth map is locally a graph
Statement
Every level set of a smooth Euclidean map is locally a graph.
Facts & Assumptions
Given: The smooth map .
The power rule and derivative algebra give the continuous Jacobian row , the continuous-partials theorem identifies it with , and polynomial coordinate expressions are smooth (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, Sums, scalar multiples, products and quotients: , , , and when , The Jacobian matrix of partial derivatives and the gradient in the scalar-valued case, If all partial derivatives exist on a neighbourhood and are continuous at a point, then the map is totally differentiable there with Jacobian derivative, Euclidean maps are closed under componentwise algebra and composition).
The regular-level graph theorem assumes surjectivity of the derivative at every point of the fibre (Regular and critical points, regular and critical values, and level sets, A regular level set is locally a graph of dimension ).
Refutation
The zero level is the double cone , and [L1] gives , so the apex is critical and [L2] does not apply there.
The cone contains rays from the apex in the linearly independent directions , , and . If it were a graph near the apex, all these curve velocities would lie in its single two-dimensional tangent plane, which is impossible.
Thus this smooth polynomial has a level set that is not locally a graph at the apex, refuting the statement.
FALSE: a critical value must have a singular level set
Statement
If is a critical value of a smooth map, then the level set over is singular.
Facts & Assumptions
Given: The smooth map .
The power rule gives the continuous Jacobian row , the continuous-partials theorem identifies it with , and the polynomial map is smooth; a value is critical when its fibre contains a point where the derivative is not surjective (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 Jacobian matrix of partial derivatives and the gradient in the scalar-valued case, If all partial derivatives exist on a neighbourhood and are continuous at a point, then the map is totally differentiable there with Jacobian derivative, Euclidean maps are closed under componentwise algebra and composition, Regular and critical points, regular and critical values, and level sets).
A graph of a map is a regular level set for an appropriate defining map (The graph of a Euclidean map is a regular level set).
Refutation
The zero level of is the vertical line . By [L1], vanishes at every point of this fibre, so is a critical value.
The same line is the graph of the zero function over the -axis and hence is smooth by [L2].
Therefore a critical value can have a smooth level set; criticality records a failure of this defining map, not necessarily a singularity of the underlying subset.
FALSE: continuity of the derivative implies constant rank
Statement
If a Euclidean map has continuous derivative, then its derivative has locally constant rank.
Facts & Assumptions
Given: The polynomial map .
Its derivative has continuous polynomial entries, rank on , and rank on ; every neighbourhood of the origin meets both loci (The map has nonconstant rank on every neighbourhood of the origin).
The correct general conclusion is lower semicontinuity: every rank-at-least- locus is open (Differential rank is lower semicontinuous).
Refutation
By [L1], is continuous but has two different ranks in every neighbourhood of the origin.
Hence continuity of the derivative does not imply locally constant rank.
This does not contradict [L2]: the rank- locus is open, so rank jumps upward away from the vertical axis exactly as lower semicontinuity permits.
Sources
- J. M. Lee, Introduction to Smooth Manifolds, sphere example after the Regular Level Set Theorem
- L. W. Tu, An Introduction to Manifolds, Section 11.2
- J. M. Lee, Introduction to Smooth Manifolds, regular-level examples
- J. M. Lee, Introduction to Smooth Manifolds, graph and regular-level examples
- L. W. Tu, An Introduction to Manifolds, Example 11.3 (the orthogonal group)
- J. M. Lee, Introduction to Smooth Manifolds, Section 8
- J. M. Lee, Introduction to Smooth Manifolds, rank theorem examples
- L. W. Tu, An Introduction to Manifolds, Section 11.1
- J. M. Lee, Introduction to Smooth Manifolds, critical-value discussion
- University of Toronto MAT237 notes, Section 2.8
- University of Toronto MAT237 notes, Section 2.8, Example 5
- J. M. Lee, Introduction to Smooth Manifolds, Regular Level Set Theorem and examples
- J. M. Lee, Introduction to Smooth Manifolds, rank theorem discussion