A contraction semigroup is a strongly continuous semigroup of bounded linear operators satisfying for every . The Hille-Yosida theorem characterizes its infinitesimal generator of a semigroup by dense domain, closedness, and the resolvent estimates for real and integers .
On a compact metric space, a conservative Feller semigroup is a strongly continuous semigroup of positive unital operators on . The Riesz-Markov-Kakutani representation theorem associates a Markov kernel to each operator. On noncompact spaces the standard definition uses ; conservativity then refers to the corresponding kernels having mass one, even when .
For a Markov process generator and suitable real functions, this bilinear expression records the local quadratic energy. Positivity of follows by differentiating . For it is , giving the Gaussian Dirichlet energy after integration against the invariant measure.
If real and belong to the generator domain of a Feller semigroup, Jensen inequality gives . This expression is zero at , so its right derivative is nonnegative, proving the inequality. It is equivalent to positivity of the carré du champ.
The one-dimensional semigroup associated with the standard Ornstein-Uhlenbeck process has invariant standard Gaussian measure and generator . Its Mehler formula for the Ornstein-Uhlenbeck semigroup makes positivity and invariance explicit. The normalized Probabilists' Hermite polynomials diagonalize it, with . It has spectral gap one and satisfies the sharp Gaussian Poincaré inequality.
Differentiating the Mehler formula for the Ornstein-Uhlenbeck semigroup proves the identity for continuously differentiable functions with bounded derivative. Density extends it to the Gaussian Sobolev form domain. Together with a weighted Cauchy-Schwarz inequality, it yields the Ornstein-Uhlenbeck entropy dissipation identity proof of the Gaussian logarithmic Sobolev inequality.
On polynomials in of standard Gaussian measure, Gaussian integration by parts makes and adjoints, with commutator . The Probabilists' Hermite polynomials are obtained by applying repeatedly to , and . These give a Gaussian-space realization of creation and annihilation operators.
The normalized Probabilists' Hermite polynomials diagonalize the Gaussian number operator with eigenvalues . Its self-adjoint closure has domain . Polynomial truncations are dense for its graph norm. The semigroup is the Ornstein-Uhlenbeck semigroup and its energy form is the Gaussian Dirichlet energy.
The energy form of the Gaussian number operator is the displayed squared derivative integral. Its form domain requires , while the full operator domain requires . It can be defined by even when does not exist in . This energy occurs in the Gaussian Poincaré inequality and Gaussian logarithmic Sobolev inequality.
Here has the standard normal distribution. Applied to the generating function , the Gaussian moment-generating function replaces by , proving the Hermite eigenvalue identity. Positivity and preservation of Gaussian measure then give the contraction and identify the full Ornstein-Uhlenbeck semigroup by polynomial density.
A nonnegative continuous multiplier defines a contraction semigroup on the space of continuous functions vanishing at infinity and on by . Strong continuity follows from uniform convergence on compact sets and small tails in , or the dominated convergence theorem in . The multiplier itself may be unbounded.
The infinitesimal generator of a semigroup for is multiplication by on its maximal domain. The bound proves the norm derivative when is integrable; in use a compact-small-tail argument on . Conversely norm convergence identifies the pointwise derivative as . Limits of graph pairs satisfy the same multiplication identity, proving it is a closed operator.

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