I am stuck on the following exercise (this is one of the first exercises in Revuz and Yor, so the solution should be from first principles).
Let $f\in L^{2+\epsilon}_{\mathrm{loc}}(\mathbb R_+,dx)$ and put $Y_t = X(f\mathbf 1_{[0,t]})$, where $X$ is a gaussian measure with intensity $dx$ on $L^2(\mathbb R_+,dx)$. That is, $f\mapsto X(f)$ is a linear isometry from $L^2(\mathbb R_+,dx)$ to a centered Gaussian subspace of $L^2(\Omega,P)$ with $E[X(f)^2] = \|f\|^2_{L^2}$. Show $Y_t = X(f\mathbf 1_{[0,t]})$ admits a continuous modification if $f\in L^{2+\epsilon}_{\mathrm{loc}}$
My attempt: Evidently one wants to use Kolmogorov's continuity theorem. However, using that $X$ is a linear isometry, I get
$$E[|Y_{t+h}-Y_t|^2] = \int_t^{t+h}f^{2}(x)\,dx\,.$$
Since $f\in L^{2+\epsilon}_{\mathrm{loc}}$, I do not see how to remove the dependence on $h$, which prevents the application of Kolmogorov's continuity theorem. I am also not fully using the strength of the assumption that $f\in L^{2+\epsilon}_{\mathrm{loc}}$, but I can't quite see how to leverage it.
Another potential approach I think is to use the time reversal Brownian motion, i.e. $tB_{1/t}$ is a Brownian motion if $B_t$ is. However, I don't know how to make this compatible with $Y_t = X(f\mathbf 1_{[0,t]})$. I believe I need to define another linear isometry $\tilde X$ such that $\tilde X(\mathbf 1_{[0,t]}) = X(t\mathbf 1_{[0,1/t]})$, but I cannot figure out how to do this.