pith:RGXDALKT
On the optimal portfolio problem with partial information and related mean field games with relative performance criteria
Partial information on stock drift allows closed-form optimal portfolios for general utilities, with mean-field relative performance games reducing to a nonlocal quasilinear PDE.
arxiv:2605.14519 v1 · 2026-05-14 · math.OC
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Record completeness
Claims
We solve the single agent problem for general utilities using a new approach that yields regularity of the value function and closed form expressions for the optimal processes. [...] represent the value of the game as a compilation of the single player problem and a function solving a non local quasilinear pde in the space of measures.
The partial information structure on the stock drift (typically a hidden process) and the specific separable or average-based couplings allow the mean-field limit to exist and the nonlocal quasilinear PDE to admit sufficiently regular solutions for the value representation to hold.
Solves portfolio optimization under partial drift information with closed forms for general utilities and represents mean-field game values with relative performance via single-agent problems plus nonlocal PDE solutions in measure space.
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Receipt and verification
| First computed | 2026-05-17T23:39:06.091429Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
89ae302d5392c62daec1f8d173fad96511f0d431275d339bb4c158feb8ffeca4
Aliases
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/RGXDALKTSLDC3LWB7DIXH6WZMU \
| 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: 89ae302d5392c62daec1f8d173fad96511f0d431275d339bb4c158feb8ffeca4
Canonical record JSON
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