Exponentially small terms and Stokes phenomena
Understand information beyond a power expansion, least-term truncation, and convention-dependent changes in asymptotic representations across complex directions.
On this page
The question for today
What you’ll understand
- Show why algebraic asymptotic coefficients cannot identify exponentially small additions.
- Locate least-term truncation using a ratio and a proved remainder bound.
- State a Stokes-line convention without claiming the exact analytic solution jumps.
After every power correction has been calculated, a solution can still contain information smaller than all those powers. Such exponentially small terms can distinguish different boundary conditions or different analytic continuations. Divergent coefficients often signal an exponential scale through their least term. Stokes phenomena describe how subdominant contributions enter an asymptotic representation as a complex direction changes. The exact analytic function remains continuous where it is analytic; the changing description concerns its separated asymptotic contributions, not a physical discontinuity created by notation.
All algebraic orders can leave a genuine ambiguity
For a fixed positive constant , the exponential is little-o of every fixed power as the positive parameter tends to zero. Set the reciprocal parameter equal to a growing real variable and compare exponential decay with polynomial growth. Consequently adding any fixed multiple of this exponential leaves every coefficient of an existing power expansion unchanged. Boundary data, an integral representation, or a summation prescription can determine that multiple, but the formal algebraic coefficients alone cannot.
In a complex domain, the same expression may decay, grow, or oscillate depending on the real part of . A beyond-all-orders claim therefore belongs to a declared direction or sector where exponential decay persists, not automatically to an entire punctured complex neighborhood. Bounds uniform on closed subsectors can deteriorate near rays where the exponential loses its separation. This is a continuation of the domain issue seen in boundary layers: apparently negligible terms become relevant when the observation regime changes.
Stop a divergent series near its smallest term
Return to the factorial integral from the first lesson. Its term magnitudes have successive ratio . They decrease until the index is near twice the reciprocal parameter and then increase. For a fixed numerical parameter, retaining indefinitely more terms is therefore counterproductive. Choosing a truncation near the least term gives a useful remainder bound because this particular integral has a proved next-term estimate. A generic divergent expansion does not inherit that estimate merely from a similar ratio.
Stirling's formula shows that the least factorial term has an exponential factor of size , multiplied by an algebraic prefactor. This diagnoses an exponential scale, but does not determine every exponentially small coefficient or prove a full transseries representation. A fixed-index Poincaré expansion and a parameter-dependent least-term truncation are different assertions; the latter needs estimates valid as the index grows. Here the finite geometric remainder bound holds for every index, so that step is justified directly.
State the convention and keep the exact function continuous
Suppose two asymptotic contributions have relative exponential factor with positive real parameter and a chosen analytic branch of the singulant . Use the convention that a candidate Stokes curve satisfies zero imaginary part of with positive real part, so the second contribution is phase aligned and exponentially subdominant. Use anti-Stokes for equal-magnitude curves where the real part is zero. Some authors interchange these names; the actual equations and branch choices should therefore accompany the terminology. These loci alone do not guarantee a nonzero switching coefficient.
Across an accessible Stokes curve, a sectorwise asymptotic representation can acquire a subdominant term determined by analytic continuation and global data. A connection formula specifies its coefficient for a particular equation and normalization. The exact analytic solution does not jump. Exponentially improved descriptions can resolve smooth switching in a parameter-dependent angular neighborhood, but their smoothing scale and profile need additional hypotheses and are not universal consequences of drawing a line. Airy functions provide a canonical example with documented sector restrictions; importing a multiplier from another branch or normalization would change the answer.
Work it through
A least-term bound resolves an exponential scale
For at , locate the least term and bound the error after retaining terms indexed zero through nineteen. Compare the invisible addition .
The ratio is , so magnitudes decrease through index nineteen, indices nineteen and twenty tie, and later terms grow. A truncation with twenty retained terms has remainder bounded by .
Compute . The bound is valid even though the selected truncation index depends on the numerical parameter, because the finite remainder inequality holds for every positive integer.
The addition changes the function while preserving every algebraic asymptotic coefficient. Its size lies on the exponential scale revealed by the least-term calculation.
The twenty-term approximation has a proved error below 1.17 × 10⁻⁸ for this integral. The formal coefficients alone still cannot decide an independently added exponentially small term.
The living notebook
Explore the model
Interactive lab · heat
Observe an exponential hierarchy on one real ray
Reset and set both mode and diffusivity , then Step eight times to time four. Predict normalized amplitude and spatial norm . Reset and set both and repeat to time four; predict normalized amplitude . With reciprocal time viewed as a small parameter, these are exact factors beyond every fixed inverse-time power. The instrument has no complex continuation and does not simulate Stokes switching.
- Current amplitude
- 1
- Spatial L² norm
- 1.772
- Decay rate · κn²
- 3.6 /s
The exact periodic heat-equation mode is u(x,t) = exp(−κn²t) sin(nx), on [0,2π]. Playback advances physical time. The initial sine is shown separately, and the unnormalized L² norm is √π exp(−κn²t). This analytic instrument does not run a finite-difference solver or test discretization stability. Parameter changes pause playback and recompute the model at the current elapsed time. Reset restores both parameters and returns time to zero. Playback starts paused. Adjust either parameter, then choose Play or Step.
Look forAn exponentially small hierarchy is visible on a decay ray, while sector switching is a separate analytic question.
Pause & reason
Check your understanding
Your turn
Try it yourself
Take with and positive real . Locate the candidate Stokes and anti-Stokes directions in the lesson's convention, and state whether these equations alone determine a multiplier.
Take a moment to make a prediction or work it out on paper. Open a hint when you need one.
Give me a hint
Use the real and imaginary parts of the unit complex exponential, including the positivity condition on the Stokes candidate.
Compare with the solution
The Stokes condition is and , selecting . The anti-Stokes condition is , selecting . These are candidate directions for the specified exponential ratio. They do not determine a Stokes multiplier or guarantee a nonzero switch; that needs the actual equation, solution normalization, and analytic continuation data.
Keep the idea
Take it with you
- Power-series data can miss nonzero contributions smaller than every algebraic order.
- Least-term truncation needs an index-valid remainder estimate to become a guarantee.
- Stokes terminology requires a convention, a branch, and global continuation information.
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