Use the weighted Hilbert structure of velocity-reset relaxation, with inner product and norm . The Cauchy-Schwarz inequality givesThus is an absolutely convergent integral and a bounded linear functional. Since , the normalized velocity-reset collision operator obeysThis 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 givesIt follows thatReplacing 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 . ThereforeThe 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 . ThusA 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 givesThe 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 givesSolving this scalar equation and taking square roots provesThis argument uses (e) explicitly, rather than bypassing the requested energy method with an explicit solution formula.
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