1. Introduction
1.1. The Point: Induction Back-Action Is Generically a Passive Memory Kernel
A moving permanent magnet near a conductor induces currents. Those currents act back on the magnet. This is commonly reduced to one of two idealizations:
- 1.
Conservative approximation: an added stiffness derived from magnetostatic energy;
- 2.
Viscous approximation: an added damping coefficient proportional to velocity (eddy-current braking).
Induction back-action is causal and history dependent. Finite inductive storage and diffusion imply that the induced current pattern cannot respond instantaneously to motion. Therefore the force is not a function of the instantaneous state alone but is a convolutional functional of motion history. Because the underlying electrodynamics is passive (resistors dissipate; inductors store), the resulting mechanical kernel is passive as well.
1.2. Why This Is Often “Overlooked” in Practice
The kernel is not conceptually exotic—it is enforced by Maxwell–Faraday and passivity—but it is often operationally overlooked because:
- 1.
The limiting laws (stiffness-only or damping-only) are convenient and often numerically adequate in narrow bands.
- 2.
In many engineering contexts one measures only an effective k and c at a single frequency, which hides the phase-lag structure.
- 3.
Distributed conductors (plates, housings, cryostats) produce broad relaxation spectra; a single fit misses the continuum and can mis-predict phase and scaling.
This paper aims to make the kernel explicit in a way that is (i) energy-consistent (passive), (ii) geometry-calibrated, and (iii) extensible from lumped loops to diffusion continua.
1.3. Model Ladder and Contributions
We develop the idea through three levels:
Level 0: general passive two-port.
A coupling coefficient
G and an electrical impedance
determine a mechanical kernel via
This is the most compact statement of “electromagnetic back-action as a network-synthesizable mechanical memory kernel.”
Level 1: dipole–lumped loop (single pole).
For one obtains the exact Maxwell element kernel , including a passivity/energy identity and parameter identification.
Level 2: dipole above a conducting half-space (diffusion).
A real plate is not a single RL mode. We derive an explicit spectral (Hankel-transform) kernel for a dipole oscillating normal to a conducting half-space. The result is a passive diffusion branch-cut kernel controlled by and with correct viscous and image-spring asymptotes.
Optional: superconducting ring (fluxoid quantization).
Flux quantization yields piecewise-conservative force laws and flux jumps that create discrete-state memory (hysteresis).
2. General Electromechanical Kernel from Impedance (Passive Two-Port)
2.1. Small-Signal Kinematics and the Induced Emf
We use a scalar mechanical coordinate
(e.g., axial position). Linearize around a bias point
:
Let
denote flux linkage between the moving magnet and a chosen electrical generalized coordinate (a loop current, a modal eddy-current coordinate, etc.).
Define the coupling gradient
To first order,
Maxwell–Faraday implies the induced emf
2.2. Co-Energy Transduction: Force Proportional to Current
For a linear electromechanical transducer in this one-degree coupling, magnetic co-energy gives
where
i is the electrical generalized current conjugate to
.
2.3. Impedance Form: Kernel from
Let the electrical environment seen by the induced emf be characterized (in Laplace domain) by a causal impedance
, so that
Using (
3) and (
4),
Define the (complex) dynamic stiffness
2.4. Passivity Statement
If
is
positive real (PR), i.e., realizable by a passive electrical network, then the admittance
is PR. Define the induced mechanical impedance (force/velocity)
A nonnegative scalar multiple of a PR function is PR, hence
is PR: the induced mechanical element is passive.
This is the core structural constraint that the “stiffness-only” and “damping-only” approximations can violate if used outside their asymptotic regimes.
3. Baseline Example: Dipole–Lumped Loop (Single RL Pole)
This section is the cleanest case and fixes notation. It is also the local building block of generalized-Maxwell (multi-mode) fits.
3.1. Dipole–Loop Flux Linkage and Coupling Gradient
Consider a magnetic dipole moment on the symmetry axis of a circular loop of radius a lying in the plane . Let x be the dipole axial coordinate measured from the loop center.
Under the dipole approximation, the azimuthal vector potential is
The flux through one turn is
Differentiating,
For an
N-turn loop,
and
3.2. Design Rule (Dipole–Loop): Maximal Coupling at
From (
8),
. Setting
, maximizing
yields a maximum at
:
Figure 1.
(From your original draft.) Normalized dipole–loop coupling profile proportional to , maximized at .
Figure 1.
(From your original draft.) Normalized dipole–loop coupling profile proportional to , maximized at .
3.3. Circuit + Force Law and Maxwell-Element Kernel
For a lumped loop with resistance
R and inductance
L, the total linkage is
Faraday + Ohm give
Linearizing about
gives
Eliminating
i yields an internal-state force law:
Under harmonic motion
, the dynamic stiffness is
This is exactly the dynamic stiffness of a mechanical Maxwell element (spring
in series with dashpot
).
3.4. Passivity/Energy Identity (Lumped RL)
Embed the coupling in a mechanical resonator
Define stored energy
Multiplying the mechanical equation by
and the circuit equation by
i yields
so for
,
,
, the coupled system is passive.
3.5. Identification from Complex Stiffness (Single Pole)
If
is measured and follows (
14), then
and
These identities will be used later as a
controlled approximation when fitting diffusion continua by an “effective Maxwell” kernel.
Figure 2.
(From your original draft.) Normalized RL-loop dynamic stiffness decomposition.
Figure 2.
(From your original draft.) Normalized RL-loop dynamic stiffness decomposition.
4. Where Single-Pole RL Breaks: Distributed Conductors
A real conductor (plate, shield, cryostat wall) does not behave as a single lumped loop with fixed
. Eddy currents are spatially distributed; the magnetic field diffuses into the conductor with diffusivity
This produces:
a broad relaxation spectrum (multi-mode / continuum),
a branch-cut frequency response (square-root structure), and
geometry-controlled crossovers governed by h (distance) and the diffusion time .
The next section (Part 2 of this draft) derives the exact passive kernel for the canonical geometry: a vertical magnetic dipole oscillating normal to a conducting half-space.
5. Dipole Above a Conducting Half-Space: Exact Diffusion Kernel
5.1. Geometry, Assumptions, and What Is Being Computed
Consider a nonmagnetic conducting half-space occupying with conductivity and permeability (typically for Cu/Al). The region is vacuum (or air) with permeability and negligible conductivity.
A point magnetic dipole of fixed moment
is located on the symmetry axis at height
above the interface
. The mechanical coordinate is the height perturbation
.
We seek the
linearized electromagnetic back-action force
and, equivalently, the Laplace/frequency-domain dynamic stiffness
Quasi-static validity.
We use the magnetoquasistatic approximation: displacement current is negligible in Ampère’s law, while Faraday induction is retained. A standard sufficient condition in the conductor is and length scales small relative to .
Because the source and geometry are axisymmetric and the dipole is normal to the surface, the fields may be represented by an azimuthal vector potential
Then
has components
In the vacuum region (
), there are no conduction currents, and in Coulomb gauge one has Laplace’s equation for the scattered field:
Figure 3.
Normalized complex stiffness for a vertical dipole above a conducting half-space. Solid: exact diffusion kernel from (
42) evaluated at
. Dashed: effective Maxwell fit with
. The diffusion kernel exhibits a
high-frequency loss tail, unlike the
decay of a single pole.
Figure 3.
Normalized complex stiffness for a vertical dipole above a conducting half-space. Solid: exact diffusion kernel from (
42) evaluated at
. Dashed: effective Maxwell fit with
. The diffusion kernel exhibits a
high-frequency loss tail, unlike the
decay of a single pole.
In the conductor (
), Ohm’s law and Faraday’s law give an eddy current density
and Ampère’s law (without displacement current) yields the diffusion equation
In Laplace domain (with variable
s),
5.2. Hankel (Sommerfeld) spectral representation
We use the order-1 Hankel transform pair (cylindrical symmetry):
Substituting (
22) into (
19)–(
21) reduces the PDEs to ODEs in
z for each spectral wavenumber
k.
Vacuum ().
Each mode satisfies
so scattered components decay as
.
Conductor ().
Each mode satisfies
and the physical solution is
, which decays as
. We choose the principal square root branch with Re
for Re
.
5.3. Incident Dipole Field in HANKEL Form
For a vertical point dipole at height
h in free space, the azimuthal vector potential is
Using the standard identity
we obtain the Hankel representation
Therefore, the incident spectral amplitude is simply
In particular, the incident amplitude at the interface
is
5.4. Interface Matching and the Diffusion Reflection Coefficient
Write the total vacuum-side field as incident plus reflected:
and the conductor field as
At
we impose the standard magnetoquasistatic boundary conditions: continuity of
and continuity of tangential
H (equivalently
for this polarization). This yields, for each
k,
Because
and
, one obtains the standard diffusion reflection coefficient
For the common nonmagnetic case
, this simplifies to
As expected:
5.5. Linearization with Respect to Vertical Motion
The only time dependence is through the height
. From (
27), the incident boundary amplitude is
The constant term (
) produces no reflected field because
. Thus the
dynamic boundary drive is
The reflected spectral field in vacuum is then
Evaluated at the dipole location
,
5.6. Force on the Dipole and the Exact Dynamic Stiffness Integral
We compute the induced
on the axis using (
18). From (
22), one finds (using
)
On the axis
(where
),
Using (
32), the reflected (induced) axial field at the dipole is
For a dipole with fixed moment
in an external field, the force is
Differentiate (
36) with respect to the observation coordinate
z (equivalently, use
in (
32)):
Therefore the exact small-signal dynamic stiffness is
Using (
30) (nonmagnetic conductor,
) and writing
, we obtain the explicit diffusion form
Structural point.
Equation (
39) is
not rational in
s because
. The half-space is therefore
not representable by any finite number of RL poles; it is a diffusion (branch-cut) kernel, equivalent to an infinite RL ladder / continuous relaxation spectrum.
5.7. Nondimensionalization: The Single Governing Diffusion Parameter
Let
and define the dimensionless diffusion frequency
Then (
39) becomes
with the dimensionless kernel
Thus the entire frequency dependence is governed by
, i.e. the diffusion time scale
5.8. Asymptotic Limits and the “Effective Maxwell” Time Constant
Although (
42) is a diffusion kernel (branch cut), its low- and high-frequency limits reduce to the familiar damping-only and stiffness-only laws.
5.8.1. Low Frequency: Viscous Limit (Dashpot)
For
, one has
for fixed
, hence
Substitute into (
42):
since
. Therefore,
with viscous coefficient
Thus for slow motion (
),
5.8.2. High Frequency: Image-Spring Limit (Elastic Stiffness)
For
,
and the ratio tends to 1 for each fixed
p:
Hence
Therefore the high-frequency stiffness is
This is the “image-spring” limit: the conductor excludes the
AC component of the field, generating an approximately conservative restoring force about the bias height.
5.8.3. High-Frequency Diffusion Correction: Fractional Tail
The diffusion nature appears strongly in the approach to
. For large
, expand
Substituting into (
42) gives
Thus
Because
, this is a
fractional diffusion tail (a branch-cut signature). For harmonic
,
so
approaches
from below while
decays as
with a fixed
phase contribution.
5.8.4. A Controlled Single-Pole Approximation (Effective Maxwell Element)
Even though the half-space kernel is not single-pole, one can define an
effective Maxwell element by matching the two asymptotes:
Matching the low-frequency dashpot coefficient
in (
45) gives
5.8.4.1. Interpretation.
is (up to the factor
) the magnetic diffusion time across the geometric distance
. It provides a useful order-of-magnitude crossover frequency,
but it does
not imply that the half-space is truly single-relaxation-time; the exact kernel has a continuous spectrum (Part 3).
5.9. Summary of the Half-Space Result
For a vertical dipole oscillating normally above a conducting half-space, the exact small-signal electromagnetic back-action stiffness is the diffusion integral
It is passive, causal, and controlled by the single dimensionless parameter
. Its limits recover:
with
6. Diffusion Kernel as a Continuous Relaxation Spectrum (Generalized Maxwell / RL Ladder)
6.1. Why Diffusion Implies a Continuum of Relaxation Times
The conductor half-space is governed (in the conductor) by the diffusion equation
After Hankel transform in
, each lateral wavenumber
k contributes a depth diffusion operator with eigenvalue
. Thus even before enforcing the boundary coupling to the dipole, the half-space already contains a
continuum of characteristic rates
This is the physical origin of the non-rational square-root dependence
and the branch-cut structure of the exact stiffness integral (
39).
In network language: diffusion is equivalent to an infinite RL ladder (a distributed impedance), not a finite .
6.2. A Key Scalar Identity: Square-Root Reflection as a Mixture of Debye Relaxations
For the nonmagnetic case
, the half-space stiffness (
39) involves the scalar factor
Write
and define
Then the reflection factor is exactly
.
The following representation makes the continuous Maxwell spectrum explicit.
Proposition (continuous Debye/Maxwell mixture).
For Re
,
Moreover,
and
.
Interpretation.
Each factor is a single-pole Debye relaxation in u. Thus is a continuum of single-pole relaxations with a positive density supported on . This is exactly the structure of a generalized Maxwell (Prony-series) element in the continuum limit.
Sketch of verification.
The identity (
52) can be checked by evaluating both sides on the imaginary axis and using the Stieltjes inversion formula for the representation
For (
51), the branch cut starts at
, so
is supported on
and yields the stated density.
6.3. Continuous-Maxwell Form of the Half-Space Stiffness
Insert (
52) into the exact stiffness integral (
39). Using
,
Therefore the half-space stiffness can be written as the two-layer continuum
Network/viscoelastic analogy.
Equation (
53) is a
generalized Maxwell representation:
with a positive measure
induced by the geometry weight
and the diffusion density
. Any finite RL-ladder / finite generalized-Maxwell approximation corresponds to quadrature of the
continuum.
6.4. Why a Finite Derivative Expansion Fails (Nonanalyticity and Memory Tails)
In Sec. 5 we found the low-frequency expansion
Attempting to extend this to
produces a divergent coefficient: the integral that would generate the
term is not integrable near
. This is the analytic fingerprint of diffusion: the true function has a
branch cut and therefore contains
noninteger powers (and/or logarithmic terms) in its asymptotics.
Equivalently: diffusion produces long memory (broad relaxation spectrum), so no finite-order local differential operator can represent it outside a narrow band.
7. Practical Evaluation, Fitting, and Identification
7.1. Fast Numerical Evaluation of the Exact Kernel
The scaled form (
41)–(
42) is convenient:
Because of the
factor, one may truncate at
–15 for high accuracy. For harmonic response
, use the principal square root for
.
7.2. Two-Parameter Similarity Form and Collapse
The half-space model has a strict two-parameter similarity structure:
Thus all frequency responses collapse onto a universal curve
after rescaling frequency by
T and stiffness by
A.
7.3. Asymptote-Based Extraction of When Frequency Range Is Broad
If measurements reach the asymptotic regimes:
- 1.
at high frequency,
with
- 2.
at low frequency,
so
with
then:
Alternatively, the ratio yields the diffusion time scale (independent of
m):
7.4. Full-Curve Fitting When Asymptotes Are Not Accessible
If the measured band does not reach the viscous or elastic plateau, fit the full complex curve to the similarity form (
54) by treating
as free parameters. Then reconstruct:
This can be done by complex least squares on
, or by fitting separately to
and
with shared parameters.
7.5. Finite-Mode Generalized-Maxwell Approximation (Passive Rational Fit)
If a reduced-order model is required (e.g., for time-domain simulation in a mechanical controller), fit the diffusion kernel by a passive Prony series:
This is a generalized Maxwell element (parallel sum of Maxwell branches). The representation (
53) guarantees that such an approximation exists with nonnegative weights. A convenient practical choice is to fix
logarithmically spaced around
and solve for
by nonnegative least squares on complex frequency-response data.
Caution.
A single Maxwell element can match
and
via
, but it will not reproduce the square-root branch-cut phase behavior. Use (
57) with multiple modes if phase accuracy matters.
8. Superconducting Rings: Fluxoid Quantization and Discrete-State Magnetomechanical Memory
This section is logically independent of the conducting half-space, but it illustrates the same “kernel/constraint” thesis: electromagnetic back-action is a constrained passive response, and in superconductors the constraint is topological (fluxoid quantization), producing a qualitatively different kind of memory.
8.1. Fluxoid Quantization Constraint
For a superconducting loop with inductance
L magnetically coupled to a moving magnet with linkage
, fluxoid quantization imposes (in the simplest lumped description)
Here
Wb is the superconducting flux quantum.
Between phase slips,
n is constant and (
58) is algebraic:
The electromagnetic force is still
, hence
This is conservative with potential energy
8.2. Small-Signal Stiffness in a Fixed Fluxoid Sector
Linearizing about a bias point
in a fixed
n gives
If the trapped fluxoid
n is such that
, then
a purely elastic back-action (no dissipation), which may be viewed as the “
” limit of the lumped RL Maxwell element but with the crucial added constraint that the state is confined to discrete fluxoid sectors.
8.3. Phase Slips / Flux Jumps: Discrete-State Hysteresis and Force Steps
In real superconducting rings, n can change by via phase slips (vortex crossings) when the supercurrent approaches a critical value or when activation over a barrier occurs. A minimal hybrid-state model is:
continuous state , discrete state ,
between events: ,
event: , which produces a current jump .
The corresponding force jump (using
) is
Thus the mechanical observability of a flux jump is controlled by
, exactly the same coupling-gradient quantity that controls the linear kernel strength in normal conductors. This connects directly to your dipole–loop design rule: choosing the bias point that maximizes
also maximizes
.
If the thresholds for differ depending on the direction of motion (metastability), the resulting F–x relation is hysteretic: a genuine electromagnetic memory not representable by any linear time-invariant kernel.
9. Discussion and Conclusions
9.1. What the “Passive Memory Kernel” Viewpoint Buys You
The central statement is not “a particular transfer function,” but a structural constraint:
Electromagnetic induction back-action is generically a passive, causal mechanical memory kernel whose form is dictated by the impedance/diffusion physics of the induced currents.
For a lumped loop, that kernel is a single Maxwell element. For a conducting half-space, the kernel is a diffusion branch-cut function with a continuum of relaxation times, which can be expressed explicitly as a continuous generalized-Maxwell spectrum. For superconducting rings, fluxoid quantization replaces linear dissipation by discrete-state conservative sectors punctuated by flux-jump events, producing nonlinear hysteretic memory.
9.2. Summary of Main Results
- 1.
A general small-signal electromechanical kernel formula:
which makes passivity and causality transparent when
is passive.
- 2.
For a vertical dipole above a conducting half-space, an exact diffusion stiffness integral:
and its similarity reduction to a universal dimensionless function of
.
- 3.
Closed-form asymptotes:
and the effective crossover time
.
- 4.
A continuous generalized-Maxwell representation of the square-root reflection factor, exhibiting a positive relaxation density and proving that diffusion corresponds to an infinite passive ladder.
- 5.
For superconducting rings, fluxoid quantization yields piecewise-conservative force laws and flux jumps with force step magnitude .
9.3. Future Extensions
Natural next steps are: (i) finite-thickness plates and multilayers (which replace the half-space diffusion factor by a thickness-dependent coth/tanh factor and introduce additional crossovers), (ii) non-axisymmetric motion (lateral drag) and dipole orientations parallel to the surface, (iii) finite-size magnets (beyond point dipole), and (iv) experimental validation with complex stiffness measurement and parameter extraction.
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