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Malin Palö Forsström

I am currently an assistant professor at the division of Analysis and Probability at Chalmers Univeristy of Technology. Before this I was a postdoctoral researcher in probability theory at KTH Royal Institute of Technology, working with Fredrik Viklund and Jonatan Lenells. I finished my PhD at Chalmers University of technology in 2019, working together with Jeffrey E. Steif.

picture of me

Contact
Email: palo@chalmers.se

Recent preprints
  1. Poisson representable processes
    39 pages, 2 figures, (2024). With Nina Gantert and Jeffrey E. Steif
  2. Free energy and quark potential in Ising lattice gauge theory via cluster expansion
    29 pages, 3 figures, (2023). With Fredrik Viklund
  3. Wilson lines in the lattice Higgs model at strong coupling
    48 pages, 6 figures, (2022). With Jonatan Lenells and Fredrik Viklund
  4. Wilson lines in the abelian lattice Higgs model
    53 pages, 7 figures, (2021).

Publications
  1. The phase transition of the Marcu-Fredenhagen ratio in the abelian lattice Higgs model
    Accepted for publication in Electronic Journal of Probability, 19 pages, 1 figure, (2024).
  2. Wilson loops in the abelian lattice Higgs model
    Probability and Mathematical Physics, Vol. 4, No. 2 (2023),257-329. With Jonatan Lenells and Fredrik Viklund.
    Source code for simulations
  3. Decay of correlations in finite Abelian lattice gauge theories
    Communications in Mathematical Physics, 36 pages, (2022).
  4. Wilson loops in finite Abelian lattice gauge theories.
    Annales de l'Institut Henri Poincaré (B) Probabilités et Statistiques 58(4), pp. 2129-2164, (2022). With Jonatan Lenells and Fredrik Viklund.
  5. When are sequences of Boolean functions tame?
    Electronic Communications in Probability, Vol. 26, paper no. 64, 1-13, (2021).
  6. A tame sequence of transitive Boolean functions.
    Electronic Communications in Probability, Vol. 25, paper no. 83, pp. 1-8, (2020).
  7. Color representations of Ising models.
    Journal of Theoretical Probability, 33 pages, (2020).
  8. A formula for hidden regular variation behavior for symmetric stable distributions.
    Extremes 23(4), pp. 667-691, (2020). With Jeffrey Steif.
  9. Divide and color representations for threshold Gaussian and stable vectors.
    Electronic Journal of Probability, Vol. 25, paper no. 54, 45 pages, (2020). With Jeffrey Steif.
  10. An analysis of the induced linear operators associated to divide and color models.
    Journal of Theoretical Probability, 18 pages, (2020) With Jeffrey Steif.
  11. A few surprising integrals.
    Statistics and Probability Letters, Volume 157 , 4 pages, (2020). With Jeffrey Steif.
  12. Denseness of volatile and nonvolatile sequences of Boolean functions.
    Stochastic Processes and their Applications, Vol. 128, Issue 11 (2018), pp. 3880--3896.
  13. Monotonicity properties of exclusion sensitivity.
    Electronic Journal of Probability, Vol. 21, 22 pages, (2016), paper no. 45.
  14. The spectrum and convergence rates of exclusion and interchange processes on the complete graph.
    Journal of Theoretical Probability, Vol. 30, Issue 2 (2017), pp. 639--654. With Johan Jonasson.
  15. Exact Hausdorff measures of Cantor sets.
    Real analysis exchange, Vol. 39, No. 2 (2013-2014), pp. 367-384.

Preprints
  1. Poisson representable processes
    39 pages, 2 figures, (2024). With Nina Gantert and Jeffrey E. Steif
  2. Free energy and quark potential in Ising lattice gauge theory via cluster expansion
    29 pages, 3 figures, (2023). With Fredrik Viklund
  3. Wilson lines in the lattice Higgs model at strong coupling
    48 pages, 6 figures, (2022). With Jonatan Lenells and Fredrik Viklund
  4. Wilson lines in the abelian lattice Higgs model
    53 pages, 7 figures, (2021).
  5. A Noise Sensitivity Theorem for Schreier Graphs.
  6. Noise Sensitivity and Noise Stability for Markov Chains: Existence Results.

Current and recent teaching

Grants and awards

Research interests
I am primarily interested in various topics within discrete probability theory. My current main interest is appliying probabilistic methods to understand the properties of lattice gauge theories and related models. I am also interested in the relationship between various properties, such as the noise sensitivity, volatility, total incluence etc. of Boolean functions.

Upcoming events

Past events