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Minimum energy paths string neb and saddle certificates — Examples
1 · Prerequisites
- Algebraic Closure, Embeddings, and Separability
- Algebraic Extensions, Extension Degree, and Finite Fields
- Binary Operations, Monoids, Groups and Subgroups
- Compactness in Metric Spaces
- Completeness, Completion, and Uniform Continuity
- Composition Series, the Jordan–Hölder Theorem and Solvable Groups
- Congruences, the Integers Modulo n and the Chinese Remainder Theorem
- 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
- Cyclic Groups and Direct Products
- Darboux, L'Hôpital, and Taylor's Theorem
- Determinants of Matrices over a Commutative Ring
- Diagonalisation and the Minimal Polynomial
- Divisibility, Euclidean Domains, Principal Ideal Domains and Unique Factorisation
- Divisibility, Greatest Common Divisors and Bézout's Identity
- Dual Spaces, Bilinear and Quadratic Forms, and Sylvester's Law of Inertia
- Eigenvalues, Eigenvectors and the Characteristic Polynomial
- Filters and Ultrafilters
- Finite Counting, Factorials and Binomial Coefficients
- Foundations of the Real Numbers for Analysis
- Group Actions, Orbits, Stabilisers and Cayley's Theorem
- Group Homomorphisms and the Isomorphism Theorems
- 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
- Minimum energy paths string neb and saddle certificates
- 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
- Primes, Euclid's Lemma and the Fundamental Theorem of Arithmetic
- 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
- Splitting Fields
- Suprema and Infima
- Sylow's Theorems, p-Groups and Nilpotent Groups
- 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 Fundamental Theorem of Algebra
- The Fundamental Theorem of Finite Abelian Groups
- The Galois Correspondence
- The Inverse and Implicit Function Theorems
- The Riemann Integral: Definition and Integrability
- The Spectral Theorem, Positive Operators and Singular Value Decomposition
- The Total Derivative in ℝᵐ → ℝⁿ
- The ZFC Axioms and the Basic Set Constructions
- Topology of ℝ
- Triangularisation, Generalised Eigenspaces and Jordan Canonical Form
- Vector Spaces, Linear Subspaces, Span and Direct Sums
2 · Summary
Examples
These examples verify a circular double-well MEP and show why its straight chord is wrong, exhibit corner and cusp failures in tangent construction, and reject an index-two maximum as the desired saddle. A two-dimensional matrix calculation shows mode sensitivity as the spectral gap closes, while a quartic potential calculates dimer truncation bias and force-noise error exactly. A zero potential gives both infinitely many continuum MEPs and distinct zero-residual finite NEB chains, illustrating why the stable inverse hypotheses are needed.
3 · Logical flowchart
4 · Definitions, theorems and proofs
None yet.
5 · Examples, counterexamples and false statements
Dimer finite-difference bias competes with force-evaluation error
Example
On , let , take the point and direction . The exact Hessian action is . With exact gradients, the central dimer estimate is . If the two gradient evaluations have errors and , each of norm , the computed estimate becomes . The truncation bias decreases with , while this permitted noise contribution increases as shrinks.
Facts & Assumptions
Given: The potential, point, direction, finite-difference distance , and opposite evaluation errors of magnitude .
The Hessian matrix and critical points of a scalar field: the Hessian is the Jacobian of the gradient; at the origin its action on is zero.
Paired force evaluations give a second-order Hessian-vector estimate: for potentials the paired central gradient difference has truncation error and force-evaluation contribution at most .
Given: The data in the Example.
Proof
The gradient is . Thus and . Their central difference is . The Hessian at the origin is , so [F1] gives .
Adding the stated force errors changes the numerator by ; division by adds . Hence the computed estimate is exactly . This realizes both contributions in [F2] for this example.
For fixed , the deterministic term tends to zero as , but the permitted error term grows without bound. Therefore reducing the dimer separation does not monotonically improve the Hessian-vector estimate when force evaluations are inexact.
A corner has no unique tangent and a cusp gives a zero centered chord
Example
Two elementary paths show why regularity and nondegenerate centered chords are explicit hypotheses. The corner path is for and for . The cusp path is . For equal samples at and , the centered chord is .
Facts & Assumptions
Given: The two displayed paths and any small enough that their samples lie in the stated parameter intervals.
Second-order centered and unequal-step tangent estimates assumes a regular curve and a nonzero centered chord before normalizing it.
Finite-image projected-gradient string with arc-length redistribution returns geometry-failure if an interior centered chord is zero.
Proof
Given: The paths and sample spacing in the Example.
For the corner, the one-sided derivatives at are and . They are distinct, so there is no single tangent at the corner. The centered chord is , whose unit direction is ; it agrees with neither one-sided tangent.
For the cusp, , so its centered chord is exactly zero. Also , so the path is not regular there.
The corner violates the differentiability/unique-tangent hypotheses of [F1], while the cusp violates regularity and makes the algorithmic centered direction undefined. By [F2], a finite string update encountering this zero chord must return geometry-failure; neither example can be covered by the second-order normalized-tangent estimate of [F1].
A curved double well has an exact circular minimum-energy path
Example
Prescribe . Let and define
The domain satisfies . Indeed, it is an open annular sector: its points have radius , positive first coordinate, and angular coordinate in . The displayed polar map is one-to-one on with smooth inverse and . Let , , and define on . The curve , , is a regular MEP joining the two minima and . Its image is the circular arc of radius one. The point is an index-one saddle.
Facts & Assumptions
Given: The chart, potential, , and path in the Example.
Regular minimum-energy paths on a declared collision-free tube: a regular MEP has zero gradient component normal to its unit tangent, and the endpoints are fixed data.
The Hessian matrix and critical points of a scalar field: at a critical point the Hessian is the matrix of second partial derivatives and its negative-eigenvalue count is the Morse index used here. Since is , The Hessian of a scalar field is symmetric makes that Hessian symmetric.
The chain rule for total derivatives: : derivatives of a scalar field in the displayed chart equal its ambient gradient paired with the chart tangent vectors.
Since is open, a sufficiently small convex open ball centered at has its closure in . The potential is on that ball, so Multivariable Taylor formula with a Lagrange remainder along a line segment applies there; bounded third derivatives on the compact closure give a quadratic expansion with remainder .
Given: The data above.
Proof
Write and . Then and are orthogonal, with lengths and . By [F3], and . At , the path tangent is and its unit normal is , so the normal gradient component vanishes. The path is regular because ; hence it is a regular MEP by [F1].
Since and , the potential is nonnegative and equals zero exactly at and . Thus both specified endpoints are global minima on .
At , and , so step 1.1 gives . The coordinate Hessian of is . By [F4], the quadratic Taylor term of at is . Substituting shows the coordinate quadratic form is ; the linear term vanishes because the point is critical. Since is orthogonal, this is an orthogonal representation of the ambient Hessian. By [F2] it has exactly one negative eigenvalue, making the point an index-one saddle.
The fixed-endpoint finite-image string of Finite-image projected-gradient string with arc-length redistribution can sample and redistribute this arc, but that finite procedure alone does not imply convergence to it from arbitrary initial images.
The straight chord misses the curved double-well minimum-energy path
Example
Let , , and . Put , , and on . The endpoints of the circular MEP are and . Their straight chord is the vertical segment for . The chord lies inside the annular sector, but it is not a MEP.
Facts & Assumptions
Given: The sector chart and potential above, with .
Regular minimum-energy paths on a declared collision-free tube: a regular path is a MEP only if its gradient component normal to the path tangent vanishes at every point.
Finite-budget improved-tangent NEB with a climbing image: the NEB tangent is constructed from adjacent image differences; an energy-selected tangent does not change the continuous MEP equation.
The chain rule for total derivatives: : the chart-coordinate derivative in the direction equals the ambient gradient paired with .
Proof
Given: The chord and potential in the Example.
Along , the first coordinate is , and , so the polar angle lies in . Its radius is between and . Thus the whole chord is in the declared sector.
The chord's tangent is . At its midpoint with . In the chart and , where and . The coordinate derivatives of there are and , so by [F3] .
Since is perpendicular to the chord tangent , step 1.2 gives a nonzero normal component of the gradient at the chord midpoint. This violates the MEP condition in [F1], proving the chord is not the circular MEP. The improved tangent rule in [F2] only changes the discrete force direction; it does not make this straight segment satisfy the continuous normal-gradient equation.
A local maximum has the wrong Morse index for the saddle certificate
Example
Let on . The origin is a critical point and a strict local maximum, but its Hessian has two negative eigenvalues. It therefore fails the index-one enclosure required by Validated ordered eigenvalue enclosures for an index-one Hessian and cannot be certified by Validated Hessian enclosures and a small gradient residual certify a nearby index-one saddle.
Facts & Assumptions
Given: The quadratic potential on and the definitions of index-one enclosure and the local saddle certificate.
Validated ordered eigenvalue enclosures for an index-one Hessian: an index-one enclosure requires and for every .
Validated Hessian enclosures and a small gradient residual certify a nearby index-one saddle: the nearby-saddle claim requires such an index-one enclosure at the reported point.
Given: and the origin.
Proof
The gradient is , so it vanishes at ; the Hessian is , with ordered eigenvalues .
For any , an interval enclosing cannot have lower endpoint . Thus no exact validated enclosure of this Hessian satisfies [F1].
The point is a maximum with Morse index two, not index one. Since the required enclosure premise in [F2] fails by step 2.1, the theorem makes no certification claim for it; this example illustrates why a small gradient or critical-point report alone does not establish the desired saddle type.
A small spectral gap makes the dimer mode sensitive to perturbations
Example
For each , let
The exact lowest eigenvector is . For every , the perturbation satisfies , and this amplification tends to zero with the gap, but the lowest eigenvector of remains at angle from . Thus an absolute perturbation tolerance alone cannot guarantee a mode error tending to zero as the spectral gap collapses.
Facts & Assumptions
Given: The matrices above and the mode-separation context in A separated dimer mode gives a local inexact saddle error bound.
A separated dimer mode gives a local inexact saddle error bound: the mode-angle bound depends on the error-to-gap ratio, not on absolute error alone.
Proof
Given: and the two symmetric matrices in the Example.
The eigenvalues of are and , with exact lowest eigenvector and spectral gap . Also , so for every we have and hence .
The eigenvalues of are . For the negative eigenvalue, the first row equation gives , so a lowest unit eigenvector is proportional to . Its angle with is therefore , a positive constant independent of .
As , the perturbation norm tends to zero while this angle stays fixed at . The spectral gap also tends to zero, so this does not contradict the separated-mode bound [F1]; it shows why that bound must include a gap scale.
Zero discrete force does not select a unique continuum path
Example
Prescribe , and let and . Every regular path from to satisfies the MEP equation, so there are infinitely many distinct continuum MEPs. For a finite string with , both chains
have equal adjacent segment lengths and zero projected force. The improved-tangent NEB ordinary force also vanishes for both. Thus their discrete residuals are exactly zero, although their interior images differ.
Facts & Assumptions
Given: The zero potential, fixed endpoints , two finite chains, and the definitions of the string, NEB, and stable path comparison.
Regular minimum-energy paths on a declared collision-free tube: a regular path is an MEP when the normal gradient vanishes; fixed endpoints are part of the path data.
Finite-image projected-gradient string with arc-length redistribution: the string stops when the projected-force and equal-spacing residuals are both within tolerance.
Finite-budget improved-tangent NEB with a climbing image: the ordinary NEB force is projected gradient plus a tangential spring term.
A gauge-fixed stable discrete path lies within second order of a smooth MEP: a local path error conclusion requires an invertible residual Jacobian with a uniform inverse bound and other stated consistency/stability hypotheses.
Proof
Given: The potential, endpoints, and finite chains in the Example.
For each , on is regular because its first coordinate derivative is , and it has endpoints . Since , every normal gradient component is zero, so [F1] makes every an MEP. Distinct give distinct paths.
For , each listed interior point is equidistant from and : the two distances are when and both when . Thus the adjacent lengths agree. Since the gradient is zero, the string projected force is zero by [F2], and the ordinary NEB spring term is also zero by [F3]. Both chains therefore have exactly zero force and spacing residuals.
The two chains differ in their interior image, and the continuum family in step 1.1 is nonunique. In this example the string residual map has no locally invertible Jacobian that can isolate a path: its force components vanish identically and its spacing equation alone cannot determine the two coordinates of the interior image. Thus the inverse/stability premise [F4] is absent. Independently of that missing premise, the two distinct MEPs and two zero-residual chains explicitly prove nonuniqueness. Each chain's midpoint lies on its corresponding exact MEP , so this is not an assertion of inaccuracy relative to every MEP. Relative to the prescribed reference , however, the second chain's midpoint has Euclidean distance while its residual is zero. Therefore residual alone cannot select a unique continuum MEP or bound distance to that reference by an error bound that vanishes with the residual.
Sources
- Graeme Henkelman and Hannes Jónsson, A dimer method for finding saddle points on high dimensional potential surfaces using only first derivatives
- Weinan E, Weiqing Ren, and Eric Vanden-Eijnden, Simplified and improved string method for computing the minimum energy paths in barrier-crossing events
- Weinan E, Weiqing Ren, and Eric Vanden-Eijnden, String method for the study of rare events
- Graeme Henkelman, Blas P. Uberuaga, and Hannes Jónsson, A climbing image nudged elastic band method for finding saddle points and minimum energy paths
- Graeme Henkelman and Hannes Jónsson, Improved tangent estimate in the nudged elastic band method for finding minimum energy paths and saddle points
- Xuanyu Liu, Huajie Chen, and Christoph Ortner, Convergence of the Discrete Minimum Energy Path