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Can a diffusion have negative minimum or achieve large value at a given time?
The tag ergodic-theory looks inappropriate. There is no measure-preserving map related to your question.
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Can a diffusion have negative minimum or achieve large value at a given time?
I agree with that, provided $B$ independent of $X_0$. You use that twice, and you should mention it. That $B$ is independent of $X_0$ is not so obvious, although it looks true.
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Decay of the Fourier transform of a non-differentiable function
@Tony419 It was clear for me that $\phi+\psi$ was $\mathcal{C}^1$ (by looking at left and right derivatives at $0$), and that its derivative has finite variation. When I derivated once more, I was surprised to see that $\phi+\psi$ is $\mathcal{C}^2$. There is no deeper philosophy.
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Decay of the Fourier transform of a non-differentiable function
I would agree with this comment in the present situation if $\hat{\phi}$ was assumed to be in the Schwarz space.
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Decay of the Fourier transform of a non-differentiable function
I completed the answer
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If $X$ is a Markov process, can we find a mild assumption ensuring that $\frac1t\operatorname E_x\left[\int_0^tc(X_s)\:{\rm d}s\right]\to c(x)$?
The simple way is to assume that $X$ is right-continuous, that $c$ is continuous at $x$ and bounded. Then Lebesgue dominated convergence theorem applies after a change of variable $s=tu$.
awarded
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How to prove the independence of infinite sequence of random variables? (feat. "$N$ bins and $N$ balls" problem)
I do not see in the assumptions what prevents the random variables $X_1,X_2,\ldots$ from being equal.
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Enlargement of filtration
@Nate River. Thank you. I still wonder whether your conclusion holds if you assume that that all $\mathcal{F}$-martingales are still $\mathcal{FH$-martingales. The counterexample I gave does not answer this alternative question.
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Enlargement of filtration
I suppressed an optional sentence (I am not sure of it) and added a remark
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Enlargement of filtration
Ah yes, you assume that $\mathcal{F}$ is the natural filtration of $M$. Anyway, the answer is negative, see the answer below.
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Enlargement of filtration
I you wish the condition to be necessary (I think it it not, but for the moment, I have no counterexample), you should at least assume that ALL $\mathcal{F}$-martingales are still $\mathcal{H}$-martingales. This property is called immersion of filtrations. Otherwise, the null martingale provides trivial counterexamples.
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Solution to SDE conditional on high maxima of driving Brownian motion
I added an heuristic.
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Positive, monotone decreasing function, with derivative limit in 0 equal to ∞ submultiplicative up to an factor?
@maximilian43 I have just corrected the typo.