Use the weighted Hilbert structure of velocity-reset relaxation, with inner product and norm . The Cauchy-Schwarz inequality gives
Thus is an absolutely convergent integral and a bounded linear functional. Since , the normalized velocity-reset collision operator obeys
This establishes boundedness. The subsequent orthogonal decomposition improves the operator norm to exactly one.
For the normalized velocity-reset collision operator,
This bounded everywhere-defined operator is self-adjoint. Put . Expanding the square with the probability measure gives
It follows that
Replacing the difference by gives the other printed integral expression. For real functions the modulus squares are ordinary squares; the modulus version also proves the complex-space statement.
The weighted inner product satisfies . Therefore
The identity operator and are linear, bounded and self-adjoint, hence so is . Directly, ; equality holds at . Thus .
Since , . Also exactly when , which is exactly the range of . Thus
A bounded self-adjoint idempotent is an orthogonal projection: if and , then . Here the orthogonal complement is precisely the zero-mass subspace .
Using and the orthogonal projection identity , we have . The orthogonal decomposition then gives
The sign is negative, as in the PDF; the converted TeX loses it at the last equality. This establishes the exact spectral gap of normalized velocity relaxation: on the zero-mass subspace , with gap one rather than the weaker half-gap estimate.
The orthogonal projection satisfies , hence and . Set . Then and . Crucially, applying the energy identity of part (e) to gives
Solving this scalar equation and taking square roots proves
This argument uses (e) explicitly, rather than bypassing the requested energy method with an explicit solution formula.

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