The small-slope excess length is , so the first term is the work needed against uniform tension. The second is the potential energy of the downward distributed load. Their sum is total potential energy subject to the obstacle constraint.
Expand the difference exactly:
The first two integrals together are nonnegative by part (b), and the square is nonnegative. Thus
For this also proves uniqueness: equality for two minimizers forces identical derivatives, and the fixed endpoints remove their additive constant. The convex admissible set and strictly convex energy make the variational inequality a global minimization condition.
With no applied load the free string segments are straight, while in contact . By symmetry use contact and a right-hand line through tangent at . The tangency conditions are and , giving on and . Therefore
The other algebraic root is outside the admissible contact interval except at the coincident endpoint .
Verification makes the construction complete: the values and slopes match at , the endpoints are zero, and outside contact . Inside contact ; outside it , so complementarity holds. The minimization argument proves this verified solution is the unique equilibrium. At the contact set is the single point and ; at contact fills the whole interval. This is the parabolic obstacle under a taut string.
Figure 1.
The equilibrium follows the parabolic obstacle in contact and leaves along tangent straight segments
. Details.
Work to first order in the slope and take constant. The elastic beam is slender, its cross-sections remain plane and normal to its centreline, transverse shear deformation is neglected, and the loading is quasi-static. There are no distributed couples. In a non-contact interval the distributed force is and there is no axial distributed force. These are the assumptions of the small-deformation Euler-Bernoulli beam equation, with an optional prescribed tension retained in transverse force balance.
Choose the internal section resultant on the right face of a segment as
where is the transverse shear force, and take the section bending moment as . Longitudinal and transverse force balance on a segment of length give and . Balancing the torques about its left end gives : the torque from the transverse section resultant is . Therefore
With this positive- bending moment convention, the linear relation between bending moment and curvature is . Thus , and substitution gives
The tension need not be small compared with the transverse restoring terms, but products arising solely from finite deformation, such as the change of axial extension proportional to , are outside this linear model. A separate axial constitutive constraint would be required to determine an unknown tension from fixed end positions.
In an open contact interval, the upward distributed normal contact force is . At this order the smooth obstacle supplies no axial force; its vertical resultant changes the downward load to . Hence
For nonadhesive unilateral beam contact, the obstacle can push but cannot pull, so . The accompanying constraints are and . A negative would require adhesion and would invalidate the proposed contact region. If is four times differentiable, the distributed normal contact force inside an open contact interval is .
The jump conditions express a connected elastic beam with no concentrated horizontal force or applied couple. Continuity of tension, , follows from horizontal force balance. Continuity of the displacement field and slope, , excludes a break or a kink; a kink would also have unbounded bending elastic energy in this model. Continuity of the bending moment in the absence of a point couple gives , or for constant .
The only allowed discontinuous section resultant is the transverse shear force. Integrating vertical force balance through an upward point force gives . Since , this is precisely
The same sign follows by integrating , where is the Dirac delta function and the regular terms have vanishing integrals over a shrinking interval. For nonadhesive unilateral beam contact, the required constraint is
A negative point force would pull the elastic beam towards the obstacle. At an endpoint where , the third derivative is continuous as well.
Let the contact interval be , where . Its slope and curvature vanish. Continuity of the displacement field, slope and bending moment at gives
On the free interval , the cubic polynomial satisfying these three conditions is . Put . The end boundary conditions become
Consequently
This requires , with at the transition. The full displacement field is
It satisfies nonpenetration. In the open contact interval the distributed normal contact force is , since the obstacle is flat and . The normal contact force is concentrated at the two endpoints. At , jumps from zero to ; at , it jumps from to zero. Both upward point forces are therefore
At they merge into the single midpoint point force of the preceding regime. These formulae belong to the small-slope model; interpreting arbitrarily large as a finite physical rotation would exceed its assumptions.
On this parametric curve, permits or , but only also gives . The chain rule gives the slope
At the required point, , so
Set . The gradient of never vanishes, so the Lagrange multiplier equations apply at a constrained stationary point. They are , , and . Eliminating gives
With , this becomes . The quadratic factor is , so the only real possibility is . Therefore
The level curve through this point is the ellipse , meeting the coordinate axes at and . Its tangent line at has slope , equal to the derivative of the constraint parabola there. The two curves are tangent.
Figure 1.
The smallest elliptical contour meeting the constraint is tangent at the minimum
. The highlighted contour is and the constraint is . Its four axis intercepts and the unique contact point are marked. Details.
The parabola touches this ellipse from outside; every other point on the constraint lies on a larger contour. An exact check of this geometric argument is
with equality only at . Thus the point is the unique constrained global minimum.
At the stated point, the radial distance is , so and . Differentiate the parametric curve:
At , these are and . Since , the tangent line has finite slope
The slope of the particle's straight trajectory is , so
The endpoint directions are parallel to the screen and do not give finite collisions, but each has zero probability in the continuous angular model. The relation therefore holds almost surely.
At a point of tangency, the derivative of the curve equals the slope one of the straight line. The chain rule gives . Since , the unique solution is . The corresponding height is . Substitution in the tangent line gives
The derivative is , so the tangent line has slope at . The corresponding point is because . Hence the tangent line is , or . Thus
For the natural logarithm, . The chord slope is . Hence the mean value theorem point satisfies , giving
It lies strictly between one and two. For example, lies strictly between and one.
The chord through the endpoints is the straight line . At , the tangent line is
These two straight lines have the same slope, as required by the mean value theorem. Since , the natural logarithm is a concave function: its graph lies above the chord and below this tangent line.
Figure 1.
The mean value theorem for the logarithm on the interval from one to two
. The chord and the tangent line at are parallel. The marked point lies on the graph of the natural logarithm. Details.
Let the infinite outer walls be at , the finite steps at , and the three potential energy values be . The original drawing specifies the ordering
The energy eigenstates can be chosen real. The Dirichlet boundary conditions are ; wavefunction matching at a finite potential step requires both and to be continuous at . In particular, neither finite step acts as an additional hard wall.
The time-independent Schrödinger equation gives
Thus a wavefunction is sinusoidal in a classically allowed region, with wavenumber , and a linear combination of exponential functions in a classically forbidden region, with inverse decay length . Its curvature changes sign relative to at a step crossing ; its slope does not jump.
By the Sturm oscillation theorem, the three energy eigenstates have exactly zero, one, and two interior nodes, respectively. Choose their global phases so that their slopes at the left wall are positive:
  • : a positive lobe in the left-hand potential well, followed by a nonoscillatory tail through the barrier and right-hand region. The tail reaches zero at the right wall. There are no interior nodes.
  • : two lobes of opposite sign in the left-hand potential well, with one interior node, followed by a nonoscillatory tail of the sign of the second lobe. Both the middle and right regions are classically forbidden regions.
  • : sinusoidal behavior in both outer regions, joined through the nonoscillatory barrier. There are two interior nodes in total. The right-hand wavelength is longer than the left-hand wavelength, because .
For , the right-hand piece is proportional to , rather than a pure decaying exponential: this enforces the finite-distance hard wall exactly. The barrier pieces likewise contain both exponential solutions. Their small tails are an instance of quantum tunnelling.
Figure 1.
Illustrative lowest three wavefunctions for the potential ordering in A1
. Details.
This is an original illustrative calculation, with vertical lines marking only the region boundaries. It uses , , , , , , and in arbitrary energy units. Its lowest energy eigenvalues are approximately , so it has exactly the required ordering. Here both nodes of the third wavefunction happen to lie towards the left; its dominant lobe is on the right. These precise positions and relative amplitudes are illustrative: the original drawing supplies no numerical lengths, barrier heights, or mass, so it does not determine a unique quantitative wavefunction. The required sketch features are the matching, curvature, hard-wall zeros, and ordered node counts.
Set and , treating the supplied concentration notation as an ideal-dilute activity approximation. For pure solids and unit water activity, the first chemical equilibrium relation gives and the second gives . Thus plot
Their slopes are and respectively. They intersect at . Both the relevant silica activities and the intersection lie at negative , as expected for a dilute aqueous silica species.
Figure 1.
Original activity diagram: solid stable boundaries, dashed metastable continuations, and three mineral stability fields
. Details.
An actual institutional protocol is CTU's Measurement of characteristics of a Peltier cell. Its cooling run uses a water container, an insulating cap and a current-limited supply; both face temperatures are recorded every minute while electric current is monitored. The apparatus includes a water-cooled exchanger, copper blocks and brass containers. The heating run resets the water near room temperature before reversing polarity. The handout specifies no thermometer type and reports no dataset. Its modular junction geometry is shown separately from the external thermal assembly.[ref]
Figure 1.
Peltier effect apparatus and a junction's conventional current direction
. Original explanatory schematic, not an apparatus photograph. The external water assembly follows the CTU protocol qualitatively; readout locations are schematic because sensor construction is unspecified. The inset is an idealized material pair, not a reconstruction of that cell's internal fabrication. Dashed arrows mark proposed parasitic heat transfer controls. Details.
The following is a proposed quantitative extension. Keep the physical face labels fixed throughout reversal: c denotes the observed object's side and h the exchanger side, even if their actual temperatures change order. Use an independently read thermometer at each thermal contact and log the actual signed electric current and terminal electric potential difference. Maintain reproducible contact pressure and contact layers. A sensor in water measures water temperature, which need not equal the face temperature during a transient; verify mixing and contact equilibration before using it as a face reading. Do not interchange sensor leads when reversing the supply.
The strongest separation compares runs at the same , water mass, contact conditions and environment, rather than subtracting arbitrary final temperatures. One option is short initial-rate runs after resetting the whole assembly to a reproducible state. Define as the net power entering the monitored object, inferred from its calibrated effective heat capacity and initial temperature slope. In a simple symmetric model, let include background heat transfer at that state and the dissipated power reaching the object. Then
where in the thermoelectric cooling model below. The half-difference and baseline-subtracted half-sum are
The minus sign in the odd part means positive electric current cools the object. The even part has to subtract the zero-current baseline: otherwise heat conduction and ambient exchange remain mixed with Joule heating. Independently measured heat capacity is essential for converting a thermal slope into watts; include the blocks, container and water that actually equilibrate on the measurement timescale.
Useful controls are zero-current drift at several matched temperature differences, equal-magnitude positive and negative electric currents, and repetition of a sequence such as with thermal resets. A calibrated small heater on the object can test the heat capacity and lost-heat correction independently. Check Joule heating in supply leads and contacts, bypass heat conduction through supports and wiring, and ambient convection and thermal radiation. Insulation reduces a leak; it does not establish that it is zero. Measure terminal power at the module boundary so lead losses are not mistaken for module heating.
An odd thermal response supports a reversible current-coupled contribution, but does not by itself locate all of it at one junction: the Thomson effect in nonuniform leads can also be odd. Sensor offsets, unequal current magnitudes, drifting thermal contacts and different junction temperatures during the two runs can contaminate both parts. In particular, heating proportional to is even only when the compared electrical resistance is the same. CTU's qualitative reversal illustrates switching heating and cooling; the matched-state controls above would be needed for a coefficient measurement.
At fixed measured count slope, , whereas at fixed measured diffusion coefficient, . First-order propagation of uncertainty follows by taking logarithmic derivatives:
For independent small errors, the radius contributes to the relative variance of , compared with for . Shared radius and temperature calibrations make the two estimates correlated; their agreement is therefore not two wholly independent determinations. As a finite-error example, overestimating by multiplies the respective answers by and .
This explains the importance of the radius cross-checks in the 1909 memoir: testing the Stokes drag law through an independent radius estimate helps prevent circular inference.[ref] Convection must also be excluded: a residual horizontal speed adds to an uncentred mean squared displacement, making a linear fit misleading.
Consider the original analytic initial value problem
Here and are dimensionless variables in a stipulated mathematical model. The trajectories below are exact solutions of a differential equation, with no measured data or empirical parameter fit. For , the Bernoulli power substitution gives
The integrating factor is . Direct differentiation gives , independently checking the transformation. The linear exists for every real , while the nonlinear solution of a differential equation uses only the interval containing where :
For , , so its absolute value decreases toward zero. The lost zero solution of a differential equation is recovered by substitution into the original equation. Since is locally Lipschitz in everywhere, the Picard-Lindelöf theorem ensures uniqueness through every finite point, including . Thus a nonzero trajectory never meets or crosses zero at a finite .
Figure 1.
Two Bernoulli trajectories and their exact linearized coordinates
. The initial conditions are in orange and in blue. Left: the positive trajectory reaches finite-time blowup at , while the negative trajectory approaches zero. The vertical axis clips the positive curve at ; this is a display limit. Right: the corresponding trajectories satisfy . The dashed orange continuation past solves the first-order linear differential equation but cannot extend the original positive initial value problem across blowup. Details.
For , the exact solution of a differential equation is on . It first decreases, reaches a local minimum , then increases without bound. At the endpoint,
The finite-time blowup comes from a simple zero of at , where , rather than from a singular coefficient in the first-order linear differential equation. The same algebraic expression for is negative on , but that is a separate solution of a differential equation on a disjoint interval; infinity supplies no finite joining value. For , on , giving a distinct decaying branch whose finite blowup is instead in the past.
The direction field also explains the positive turning point. Its nullclines are and , because
Above the positive nullcline, ; between it and zero, ; below zero, . The moving nullcline is not a solution of a differential equation: its derivative is , whereas the prescribed slope there is zero. The trajectory crosses it at , exactly its local minimum.
Figure 2.
The Bernoulli direction field and the disconnected inverse branches at blowup
. Left: the direction field, its two nullclines, and the exact and trajectories. Right: has a positive branch on and a negative branch on ; the excluded point separates them. The zero solution of a differential equation belongs to the original equation but has no finite reciprocal coordinate. The branches continue beyond the plotted vertical limits. Details.