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📐 Bessel Function First Kind Table 計算機

專業免費的 Bessel Function First Kind Table 計算機。純前端本機毫秒級計算、零資料上傳、極致隱私保護。提供詳細公式推導、實例示範與常見問答。

即時推算結果 (Computed Output)
J0(x) table —51rows x from start in fixed increments
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What this calculator does

This tool tabulates the Bessel function of the first kind, written J_v(x), for a fixed order v while sweeping the argument x. You choose a starting x value, an increment, and how many rows to generate, and the calculator returns a clean two-column table of x versus J_v(x). Bessel functions of the first kind appear throughout physics and engineering: vibrations of a circular drum, heat conduction in cylinders, electromagnetic waves in waveguides, and signal processing (FM modulation sidebands).

How to use it

Enter the Order v (any real number — 0, 1, 2, fractional like 0.5, or negative). Set the Initial value of x, the Increment (the spacing between successive x values; may be negative for a descending sweep or zero to repeat one point), and the Number of repetitions (how many rows, from 1 up to 10000). Row i uses x = startX + i × stepX.

The formula explained

The function is defined by the power series

J_v(x) = \sum_{k=0}^{\infty} (((-1)^k) ÷ (k! \Gamma(k+v+1))) ≤ft(((x) ÷ (2))\right)^{v+2k},
where \Gamma is the gamma function. The calculator evaluates this series term by term using a stable recurrence: each term is obtained from the previous one by multiplying by -(x^2/4) / ((k+1)(k+v+1)), which avoids factorial overflow. The gamma function is computed with the Lanczos approximation so that non-integer and negative orders work. For negative integer order it uses the identity J_{-n}(x) = (-1)^n J_n(x).

Worked example

With v = 0, startX = 0, stepX = 0.2, loopCount = 6 the table gives J_0(0) = 1, J_0(0.2) ≈ 0.990025, J_0(0.4) ≈ 0.960398, J_0(0.6) ≈ 0.912005, J_0(0.8) ≈ 0.846287, and J_0(1.0) ≈ 0.765198 — matching the standard tabulated value J_0(1) = 0.7651976866.

Reference Values of J_v(x)

The table below lists the Bessel function of the first kind J_v(x) for orders v=0,1,2 at several standard arguments. Values are rounded to six decimal places and follow from the series J_{v}(x)=\sum_{k=0}^{\infty}(((-1)^{k}) ÷ (k! \Gamma(v+k+1)))≤ft(((x) ÷ (2))\right)^{2k+v}.

x J_0(x) J_1(x) J_2(x)
0 1.000000 0.000000 0.000000
0.5 0.938470 0.242268 0.030604
1 0.765198 0.440051 0.114903
2 0.223891 0.576725 0.352834
3 −0.260052 0.339059 0.486091
5 −0.177597 −0.327579 0.046565
10 −0.245936 0.043473 0.254630

As a worked check, evaluate J_0(1): the leading terms give 1-\tfrac{(0.5)^2}{1}+\tfrac{(0.5)^4}{4}-\tfrac{(0.5)^6}{36}+\dots = 1-0.25+0.015625-0.000434+\dots≈ 0.765198.

Notable Zeros (Roots)

The positive zeros are the values of x where J_v(x)=0; they set drum modes, waveguide cutoffs and similar boundary conditions.

Root index s s-th zero of J_0 s-th zero of J_1
1 2.404826 3.831706
2 5.520078 7.015587
3 8.653728 10.173468
4 11.791534 13.323692

Note that x=0 is a zero of J_v for every order v>0, but it is not counted among the positive roots above.

Definitions & Glossary

Order v
The parameter (here the form field order) that selects which member of the Bessel family is computed. It may be any real number — integer orders arise in cylindrical problems, half-integer orders v=n+\tfrac12 give the spherical Bessel functions.
Argument x
The independent variable at which J_v is evaluated. In this table it starts at startX and advances by stepX for loopCount rows.
Gamma function \Gamma
The continuous extension of the factorial, with \Gamma(n+1)=n! for non-negative integers. It appears in the denominator \Gamma(v+k+1) of the series so that non-integer orders are well defined.
Bessel function of the first kind J_v(x)
The solution of Bessel's differential equation x^2 y''+x y'+(x^2-v^2)y=0 that remains finite at the origin (for v≥ 0). It is given by the power series in the formula above.
Zeros / roots
The values of x at which J_v(x)=0. Each order has infinitely many positive zeros, increasingly evenly spaced and asymptotically separated by π.
Half-integer (spherical) order
When v=n+\tfrac12, J_v relates to the spherical Bessel functions j_n(x)=\sqrt{\tfrac{π}{2x}} J_{n+1/2}(x), which describe radial parts of wave equations in spherical coordinates.
Recurrence-term ratio
Successive terms of the series satisfy ((a_{k+1}) ÷ (a_k))=((-(x/2)^2) ÷ ((k+1)(v+k+1))), which is used internally to generate each term from the previous one and to assess convergence.

Interpreting Your Table

A few facts help read the columns your sweep produces:

  • Starting values. J_0(0)=1, while J_v(0)=0 for every order v>0. So a table beginning at x=0 starts at 1 only for the zeroth order.
  • Oscillation with decay. For large x, J_v(x)≈\sqrt{\tfrac{2}{π x}}\cos\!≤ft(x-\tfrac{vπ}{2}-\tfrac{π}{4}\right). The function oscillates like a phase-shifted cosine while its amplitude decays as 1/√(x). Successive maxima therefore shrink slowly as x grows.
  • Sign changes mark zeros. Wherever a column changes sign between two rows, a root of J_v lies in that interval (e.g. J_0 switches sign between x=2 and x=3, bracketing its first zero ≈ 2.4048). For large arguments consecutive zeros are spaced by about π.
  • Physical nodes. Those zeros correspond to physical boundary conditions: the radial modes of a vibrating circular drumhead, cutoff frequencies of cylindrical waveguides, and field patterns in optical fibers are all indexed by zeros of J_v.
  • Magnitude. For fixed x, higher orders v start near zero and rise more slowly; for small x the leading behavior is J_v(x)\sim ((1) ÷ (\Gamma(v+1)))≤ft(((x) ÷ (2))\right)^{v}, so larger v stays smaller until x becomes comparable to v.

These observations follow from the established series and asymptotic forms above and apply to any order you enter.

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輸入各項數值時請務必確認量綱(例如小時、天數、金額、百分比),避免單位不匹配引發推算偏差。

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常見問題 (FAQ)

Can the order be a fraction or negative?
Yes. The gamma-based series supports any real order, including half-integers (which give spherical Bessel forms) and negative values.
What happens at \(x = 0\)?
\(J_0(0) = 1\) and \(J_v(0) = 0\) for \(v > 0\), because the leading \((x/2)^v\) factor vanishes.
How accurate is it for large \(x\)?
The double-precision series is accurate for typical ranges (\(x\) up to roughly 20–30). For very large \(x\), catastrophic cancellation can reduce precision; in that regime the asymptotic form \(J_v(x) \approx \sqrt{2/(\pi x)} \cos(x - v\pi/2 - \pi/4)\) is preferable.