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A deterministic initial law is singular although the SDE is well-posed
Example
Assume Full AC. Fix and use a complete usual filtered probability space carrying a filtration-relative standard scalar Brownian motion . Set , , and , so The initial law is the point mass at . It is concentrated on a Lebesgue-null set, although the strong well-posedness theorem applies. A Lebesgue density for a probability law on means a nonnegative Lebesgue-measurable function such that for every Borel set , where is one-dimensional Lebesgue measure.
Facts & Assumptions
Given: the data above, the Itô SDE convention of Itô SDE data and strong solution, and Full AC.
The SDE definition requires jointly Borel coefficients, uniform global state Lipschitz and linear-growth bounds, and an -measurable initial value independent of future Brownian increments. Itô SDE data and strong solution
Under those hypotheses, there is a unique adapted continuous strong solution on the given space. Global strong well-posedness for Lipschitz Itô SDEs
The law of a random element assigns a measurable target set the probability . Law or distribution of a random element
Lebesgue outer measure is the infimum of the sums of over countable elementary covers. Every half-open box is elementary and has ; in dimension one, is a half-open interval of volume . Lebesgue outer measure on Elementary sets: the finite unions of half-open boxes in The sum of the volumes of a disjoint box decomposition of an elementary set does not depend on the decomposition Half-open boxes in and their volume
Full AC supplies countable choice. Under countable choice, a set of Lebesgue outer measure zero is Lebesgue measurable and has Lebesgue measure zero. The Axiom of Choice AC supplies countable selections and prescribed serial paths The Axiom of Countable Choice () Assuming countable choice, is a sigma-algebra containing every elementary set and is a complete measure extending elementary volume Lebesgue measurable sets, the family , and the restricted set function
The integral over a measurable set is the nonnegative Lebesgue integral of the function times its indicator; that integral is the supremum of nonnegative simple minorants, and a simple integral is the sum of its values times the measures of their level sets. Integral over a measurable subset The nonnegative Lebesgue integral The integral of a nonnegative simple function
The singleton is Borel: for each , , and if then , so . Thus is open and is closed; closed sets are Borel. The -neighbourhood and the punctured -neighbourhood of a point of Basic properties of the absolute value The triangle inequality Open subset of (every point has a neighbourhood inside it), closed subset (complement open), and clopen The Borel sigma-algebra of a topological space
For any real with for every , one has : if , the Archimedean property supplies , so , a contradiction. Every complete ordered field is Archimedean
Verification
The maps and are jointly Borel. Their state Lipschitz constant is , and gives . The constant diffusion is nondegenerate because its scalar variance is . The deterministic is -measurable, square-integrable, and independent of the Brownian increments, so [F1] holds; applying [F2] gives strong well-posedness.
By [F3] and [F7], the initial law satisfies . For every , the half-open interval covers and is an elementary set of volume ; by [F4] its outer-measure cover cost is . Hence for every , so is finite. If , [F8] supplies , contradicting the bound; therefore .
By [F5], is Lebesgue measurable and . If a Lebesgue density for existed, [F6] would give : every nonnegative simple minorant of has integral zero because each positive level set is contained in the null singleton and the zero level contributes zero, so the supremum of their integrals is zero. This contradicts step 1.2. Thus the initial law has no Lebesgue density at ; no claim about positive-time densities is made.
Depends on
- Itô SDE data and strong solution
- Global strong well-posedness for Lipschitz Itô SDEs
- Law or distribution of a random element
- Lebesgue outer measure on $\mathbb{R}^n$
- Half-open boxes in $\mathbb{R}^n$ and their volume
- Elementary sets: the finite unions of half-open boxes in $\mathbb{R}^n$
- The sum of the volumes of a disjoint box decomposition of an elementary set does not depend on the decomposition
- Every complete ordered field is Archimedean
- Lebesgue measurable sets, the family $\mathcal{L}(\mathbb{R}^n)$, and the restricted set function $\lambda_n$
- The Borel sigma-algebra of a topological space
- Open subset of $\mathbb{R}$ (every point has a neighbourhood inside it), closed subset (complement open), and clopen
- The $\varepsilon$-neighbourhood and the punctured $\varepsilon$-neighbourhood of a point of $\mathbb{R}$
- Basic properties of the absolute value
- The triangle inequality
- Assuming countable choice, $\mathcal{L}(\mathbb{R}^n)$ is a sigma-algebra containing every elementary set and $\lambda_n$ is a complete measure extending elementary volume
- The nonnegative Lebesgue integral
- Integral over a measurable subset
- The integral of a nonnegative simple function
- The Axiom of Countable Choice ($\mathrm{AC}_\omega$)
- AC supplies countable selections and prescribed serial paths
- The Axiom of Choice
Used by
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Sources
- Ramon van Handel, Stochastic Calculus, Filtering, and Stochastic Control: Lecture Notes (ACM 217, Spring 2007), Chapter 5.1 (standard reference, not scraped)
- A.W. van der Vaart, Martingales, Diffusions and Financial Mathematics (preliminary notes), Section 7.1 (standard reference, not scraped)