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Mathematical Object

Hermite Polynomials

Analysis

The Hermite polynomials are a classical sequence of orthogonal polynomials that arise across probability, combinatorics and physics, named after the French mathematician Charles Hermite, though earlier forms of them had already been studied by Pierre-Simon Laplace and Pafnuty Chebyshev. They form an orthogonal basis with respect to a Gaussian weight function, which is the reason they appear in probability theory in connection with the normal distribution, and they arise in physics as the eigenfunctions of the quantum harmonic oscillator, one of the few quantum systems that can be solved exactly. Two closely related but differently normalized conventions for the polynomials are in common use, the probabilists' Hermite polynomials and the physicists' Hermite polynomials, distinguished by which normalization of the Gaussian weight is used to define their orthogonality.

Facts
Classification
Object Kind
Sequence or Series 1
Origin Year
1864 1
Connections

Is Kind Of Object

Sequence, Concepts

Entity-backed identity for the object-kind enum value this mathematical object already carries, resolved to a mathematics concept by an explicit value-to-entity map (phase 3 bucket conversion, docs\design_entity_backed_browse_buckets_20260928.md). The object-kind fact itself stays on the object unchanged.

Series, Concepts

Entity-backed identity for the object-kind enum value this mathematical object already carries, resolved to a mathematics concept by an explicit value-to-entity map (phase 3 bucket conversion, docs\design_entity_backed_browse_buckets_20260928.md). The object-kind fact itself stays on the object unchanged.

Sources
1. Wikipedia: Hermite polynomials
Lead section
Quote, Lead section
they were named later after Charles Hermite, who wrote on the polynomials in 1864, describing them as new.
View the Source
Wikidata: Hermite Polynomials
Wikidata Q658574, class allow-list match (w-wdresolver-0926)View the Source
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