lars.you Amsterdam · July 2026 me@​lars.you
On the existence and uniqueness of

Lars Vlasveld

1 Applied Mathematics & Data Science, Amsterdam
Abstract. We introduce Lars (Figure 1), a student of applied mathematics and data science based in Amsterdam. Existence is established by observation; uniqueness is assumed without proof. Several open problems are stated in §3.
Keywords: geometry, linear algebra, machine learning, dusk at the beach

1 Definition

Definition 1.1 (Lars). Let L denote the element satisfying all of the following:

(i)L ∈ Amsterdam;
(ii)deg(L) → B.Sc. in Applied Mathematics & Data Science, convergence in progress;
(iii)interests(L) ⊇ {geometry, linear algebra, machine learning};
(iv)L is bounded, but not yet closed.

Remark 1.2. The subject is happiest when a mess turns out to have clean structure underneath: a proof, a dataset, a page layout.

2 A typical week, approximately normal

Weekly time allocation is well modelled by a Gaussian centred on coursework, with heavy tails.

Figure 2. Distribution of a typical week. Not to scale.

3 Open problems

No completed works are claimed at time of writing. The following conjectures are offered instead, in increasing order of difficulty.

3.1Build something worth a §4.
3.2Finish the degree in finite time.
3.3Settle, once and for all, whether the triangle is really the strongest shape.

Progress on any of the above will be reported in a future revision of this page.

4 A moving part

A Lissajous figure: x(t) = sin(at + π/2) traced against y(t) = sin(bt). Pick the ratio.

Figure 4. Currently tracing a : b = 3:2.

References

[1] L. Vlasveld, personal communication. me@​lars.you
[2] Assorted remarks, unrefereed. x.com/larsjoon
[3] The formal record. linkedin.com/in/larsvlasveld
[4] This page.
© 2026 Lars Vlasveld