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pith:VLJ7TK36

pith:2026:VLJ7TK36PFANPIMJ2ZAAOEKW5L
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Fractional calculus via variable-transform-based spectral approximations

Kuan Xu, Xiaolin Liu

Variable transforms applied to Chebyshev polynomials yield stable spectral approximations for fractional integral operators.

arxiv:2604.25417 v3 · 2026-04-28 · math.NA · cs.NA

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Claims

C1strongest claim

These spectral approximations lead to stable and fast spectral methods for fractional calculus. The spectral approximation based on the double-exponential transform is demonstrated through extensive numerical examples that are intractable for existing spectral methods.

C2weakest assumption

The variable transforms are assumed to preserve spectral accuracy and numerical stability for the fractional integral operator without introducing hidden instabilities or requiring problem-specific tuning of the transform parameters.

C3one line summary

Variable-transform-based transplanted Chebyshev polynomials provide stable, optimal-complexity spectral approximations to fractional integrals, including Jacobi fractional polynomials and double-exponential variants applicable to broader problems.

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First computed 2026-06-03T01:05:14.097612Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

aad3f9ab7e7940d7a189d640071156eaf9903f10a2f929b3d78a9cd326944ac7

Aliases

arxiv: 2604.25417 · arxiv_version: 2604.25417v3 · doi: 10.48550/arxiv.2604.25417 · pith_short_12: VLJ7TK36PFAN · pith_short_16: VLJ7TK36PFANPIMJ · pith_short_8: VLJ7TK36
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/VLJ7TK36PFANPIMJ2ZAAOEKW5L \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: aad3f9ab7e7940d7a189d640071156eaf9903f10a2f929b3d78a9cd326944ac7
Canonical record JSON
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    "abstract_canon_sha256": "f4223e273d65cf1b997437ee20e994f0be9f76fa6eed9240f2d877ab293ff69a",
    "cross_cats_sorted": [
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    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "math.NA",
    "submitted_at": "2026-04-28T09:27:11Z",
    "title_canon_sha256": "1fc64f2a81808aa58084b49376bd41278a461acb1860d83e57102fc6aaa02d1f"
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