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BEGIN:VEVENT
SUMMARY:Critical time-dependent phenomena in diffusion generative models
DTSTART;VALUE=DATE-TIME:20260414T215000Z
DTEND;VALUE=DATE-TIME:20260414T215700Z
DTSTAMP;VALUE=DATE-TIME:20260414T043507Z
UID:indico-contribution-93-325@fisindico.uniandes.edu.co
DESCRIPTION:Speakers: William Montaño (Egresado)\nIn recent years\, diffu
 sion generative models have become state-of-the-art for tasks such as imag
 e\, video\, and audio generation\, among others. More recently\, there has
  been growing interest in studying the statistical mechanics of these mode
 ls\, driven by the observation of apparent phase transitions during the sa
 mpling process. More specifically\, a symmetry breaking that resembles the
  one encountered in the Ising model. In this proposal\, a theoretical desc
 ription of the diffusion models is presented\, explaining what diffusion m
 odels are\, how they can be studied from perspective of equilibrium statis
 tical mechanics\, and how critical phenomena emerge in a simple case. Addi
 tionally\, a simple simulation using a feed forward network and two delta 
 functions as the initial distributions provides some insight into the mode
 l's behavior near the critical point. The main objectives include a deeper
  investigation of this critical phenomenon\, with particular focus on ques
 tions concerning the relationship between data dimensionality and the numb
 er of spins in the Ising model\, as well as the emergence of scaling-free 
 properties. Furthermore\, the development of new models is proposed to all
 ow for a more detailed observation and analysis of these critical behavior
 s.\n\nhttps://fisindico.uniandes.edu.co/event/23/contributions/325/
LOCATION:Universidad Nacional Edificio 564
URL:https://fisindico.uniandes.edu.co/event/23/contributions/325/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Structural and magnetic characterization of $Pr_{0.5}Ca_{0.09}Sr_{
 0.41}MnO_3$ manganites
DTSTART;VALUE=DATE-TIME:20260414T231300Z
DTEND;VALUE=DATE-TIME:20260414T232000Z
DTSTAMP;VALUE=DATE-TIME:20260414T043507Z
UID:indico-contribution-93-357@fisindico.uniandes.edu.co
DESCRIPTION:Speakers: Gabriela Rodriguez (Los Andes University)\nManganite
 s with a $CaMnO_3$-type structure are generally antiferromagnetic and insu
 lating at low temperatures. However\, chemical substitution with rare-eart
 h elements induces strong competition between coexisting antiferromagnetic
  (AFM) and ferromagnetic (FM) phases\, often leading to phase separation a
 nd field-induced metamagnetic transitions. These transitions can be unders
 tood as percolation events\, where FM metallic clusters grow within an AFM
  insulating matrix until a conducting network spans the system at the perc
 olation threshold\, driving the metal-insulator transition. Despite extens
 ive research\, the coupling between structural distortions and magnetic or
 dering in these systems remains not fully understood.\n\nHere\, we present
  a structural and compositional characterization of  $Pr_{0.5}Ca_{0.09}Sr_
 {0.41}MnO_3$   (PCSMO) powder. The crystal structure and phase purity were
  examined by X-ray diffraction (XRD) and Raman spectroscopy\, while the el
 emental composition was analyzed using energy-dispersive X-ray spectroscop
 y (EDX). Magnetic characterization was done through vibrating sample magne
 tometry (VSM) measurements performed at different temperatures to evaluate
  magnetic transitions. Our results suggest potential applications in neuro
 morphic computing as well as in magnetic and thermal sensing devices.\n\nh
 ttps://fisindico.uniandes.edu.co/event/23/contributions/357/
LOCATION:Universidad Nacional Edificio 564
URL:https://fisindico.uniandes.edu.co/event/23/contributions/357/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Estudio Monte Carlo de la Entropía Residual en Redes de Ising Fru
 stradas
DTSTART;VALUE=DATE-TIME:20260414T231300Z
DTEND;VALUE=DATE-TIME:20260414T232000Z
DTSTAMP;VALUE=DATE-TIME:20260414T043507Z
UID:indico-contribution-93-348@fisindico.uniandes.edu.co
DESCRIPTION:Speakers: Adriana María Velásquez Medina (Universidad de los
  Andes)\nEste trabajo analiza cómo las modificaciones topológicas afecta
 n la entropía residual y la degeneración del estado base en sistemas fru
 strados del modelo de Ising. Tomando como referencia las redes triangular 
 y kagome antiferromagnéticas\, se emplea un enfoque computacional basado 
 en simulaciones de Monte Carlo e integración termodinámica.\n\nSe estudi
 an tanto defectos aleatorios como modificaciones periódicas de la red. Lo
 s resultados muestran que la dilución de sitios y enlaces reduce la entro
 pía residual al aliviar la frustración\, mientras que las estructuras ti
 po stitched kagome permiten modificar la degeneración de forma controlada
 . Estos resultados muestran que la conectividad de la red modifica la dege
 neración del estado base y la entropía residual en estos sistemas.\n\nht
 tps://fisindico.uniandes.edu.co/event/23/contributions/348/
LOCATION:Universidad Nacional Edificio 564
URL:https://fisindico.uniandes.edu.co/event/23/contributions/348/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Modeling Invasion Percolation in Granular Media with Evolving Rheo
 logy: The Case of Rice Cooking.
DTSTART;VALUE=DATE-TIME:20260414T231300Z
DTEND;VALUE=DATE-TIME:20260414T232000Z
DTSTAMP;VALUE=DATE-TIME:20260414T043507Z
UID:indico-contribution-93-347@fisindico.uniandes.edu.co
DESCRIPTION:Speakers: Braither Diaz ()\nThe rice cooking process represent
 s a complex physical system where phase transition thermodynamics\, biopol
 ymer leaching\, and granular media mechanics converge. In this work\, we p
 resent a cellular automaton model based on the Invasion Percolation (IP) a
 lgorithm to simulate the dynamics of nucleation and water vapor transport 
 through a grain bed.Unlike standard IP models\, our approach incorporates 
 a thermo-rheological coupling: the heat flux at the base induces a thermal
  gradient that governs starch gelatinization kinetics via an Arrhenius-typ
 e relationship. The subsequent leaching of amylose and amylopectin modifie
 s the viscosity of the continuous phase following the Quemada model\, lead
 ing to a viscosity divergence as the solvent is depleted. Simultaneously\,
  the mechanical transition of the grains is modeled through a critical inv
 asion radius ($R_c$)\, which discriminates between the physical displaceme
 nt of the grains (piston-like regime with geometric memory) and capillary 
 flow (channeling).Preliminary results suggest that the competition between
  bubble buoyancy and the hardening of the polymeric gel defines the morpho
 logy of the vapor channels\, explaining the formation of the tubular struc
 tures ("rice holes") observed macroscopically during cooking. This model p
 rovides a framework to understand how local heterogeneities in friction an
 d dynamic surface tension dictate the final transport state in saturated g
 ranular systems.\n\nhttps://fisindico.uniandes.edu.co/event/23/contributio
 ns/347/
LOCATION:Universidad Nacional Edificio 564
URL:https://fisindico.uniandes.edu.co/event/23/contributions/347/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Active Paths and Effective Stochastic Dynamics in Small Neural Net
 works
DTSTART;VALUE=DATE-TIME:20260414T230700Z
DTEND;VALUE=DATE-TIME:20260414T231400Z
DTSTAMP;VALUE=DATE-TIME:20260414T043507Z
UID:indico-contribution-93-344@fisindico.uniandes.edu.co
DESCRIPTION:Speakers: Cristian Pena ()\nThis project proposes to study a s
 mall neural network trained on a simple supervised learning task from a pe
 rspective inspired by statistical mechanics. The central idea is to identi
 fy the active paths connecting the input and output layers\, analyze how t
 hey contribute to the represented function before and after training\, and
  investigate whether their collective behavior admits an effective macrosc
 opic description. To do this\, the network output will be decomposed into 
 contributions associated with active paths\, and several collective observ
 ables will be introduced\, including the number of active paths\, the dist
 ribution of their effective contributions\, and their temporal evolution d
 uring learning. Using multiple random initializations and training traject
 ories under stochastic gradient descent\, the project will examine whether
  the evolution of the learned output can be approximated by an effective s
 tochastic differential equation of the form $df_t(x)=A_t(x)\,dt + B_t(x)\,
 dW_t$\, where $A_t(x)$ represents an average learning drift and $B_t(x)$ a
  fluctuation term induced by the stochastic nature of training. The main g
 oal is to explore whether active paths can be interpreted as mesoscopic va
 riables linking the microscopic dynamics of the weights with the macroscop
 ic evolution of the learned function\, providing a more structured descrip
 tion of supervised learning.\n\nhttps://fisindico.uniandes.edu.co/event/23
 /contributions/344/
LOCATION:Universidad Nacional Edificio 564
URL:https://fisindico.uniandes.edu.co/event/23/contributions/344/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Bosonisation of one-dimensional fermion systems and applications t
 o spin chains
DTSTART;VALUE=DATE-TIME:20260414T230000Z
DTEND;VALUE=DATE-TIME:20260414T230700Z
DTSTAMP;VALUE=DATE-TIME:20260414T043507Z
UID:indico-contribution-93-345@fisindico.uniandes.edu.co
DESCRIPTION:Speakers: Camilo Moreno Alfaro (Universidad de los Andes)\nBos
 onisation is a technique to solve one-dimensional fermion models by transf
 orming them to bosonic systems. S. Coleman (1975) showed that the correlat
 ors of the massive Thirring model\, a one-dimensional Dirac fermion with s
 elf-interactions\, coincide with those of the Sine-Gordon boson\, and late
 r\, S. Mandelstam (1975) found the explicit map between these two systems.
  The identities found by Mandelstam generalise to a broader set of one-dim
 ensional fermion models\, that is\, those that can be associated to a boso
 n\, and whose properties can hence be studied in an often simpler way by m
 eans of this mapping.\nThe transformation between fermions and bosons\, ho
 wever\, is but a particular case of seeking equivalent models to a particu
 lar system in order to examine its behaviour in a potentially simpler way.
  Another example of such transformations is that of Jordan and Wigner (192
 8)\, who developed a way to map quantum spin lattices to fermions. This pr
 oject seeks to examine quantum spin chains under the light of the Jordan-W
 igner transformation and a subsequent bosonisation\, which in many ways si
 mplify the study of the statistical and thermodynamic behaviour of the cha
 in.\n\nhttps://fisindico.uniandes.edu.co/event/23/contributions/345/
LOCATION:Universidad Nacional Edificio 564
URL:https://fisindico.uniandes.edu.co/event/23/contributions/345/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Topological Edge States and Nonequilibrium Quantum Transport in On
 e-Dimensional Topological Models: A Green's Function Approach
DTSTART;VALUE=DATE-TIME:20260414T225300Z
DTEND;VALUE=DATE-TIME:20260414T230000Z
DTSTAMP;VALUE=DATE-TIME:20260414T043507Z
UID:indico-contribution-93-341@fisindico.uniandes.edu.co
DESCRIPTION:Speakers: Juan José Mayorga Bonilla (Universidad Nacional de 
 Colombia)\nThis work presents an analytical Green's function study of one-
 dimensional topological models aimed at connecting their equilibrium spect
 ral properties to nonequilibrium quantum transport. Working in the continu
 um limit\, we derive exact expressions for the retarded Green's function o
 f the bulk\, the semi-infinite chain\, and the finite chain\, computing th
 e Local Density of States (LDOS) in each geometry and tracing the progress
 ive emergence of topologically protected boundary states\, which are absen
 t in the bulk spectrum. By this framework\, we model a two-terminal juncti
 on consisting of a finite topological chain contacted by two normal metall
 ic leads and using the Keldysh Non-Equilibrium Green Function formalism\, 
 we compute the transmission function and analyze the nonequilibrium transp
 ort properties of the junction. This work provides a fully analytical and 
 unified framework connecting bulk topology\, boundary spectral properties\
 , and out-of-equilibrium current statistics in topological junctions.\n\nh
 ttps://fisindico.uniandes.edu.co/event/23/contributions/341/
LOCATION:Universidad Nacional Edificio 564
URL:https://fisindico.uniandes.edu.co/event/23/contributions/341/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Non-Extensive Statistical Mechanics and Heavy Tails in Financial L
 og-Returns: Stocks\, FX\, and Cryptocurrencies
DTSTART;VALUE=DATE-TIME:20260414T224600Z
DTEND;VALUE=DATE-TIME:20260414T225300Z
DTSTAMP;VALUE=DATE-TIME:20260414T043507Z
UID:indico-contribution-93-340@fisindico.uniandes.edu.co
DESCRIPTION:Speakers: Juan Diego Rueda Mantilla (Universidad Nacional de C
 olombia)\nNon-extensive statistical mechanics\, introduced by Tsallis\, pr
 ovides a robust theoretical framework for describing complex systems chara
 cterized by long-range correlations and extreme events. In the context of 
 financial markets\, the q-Gaussian distributions that emerge from this for
 malism constitute a natural generalization of Gaussian approaches\, as the
 y are capable of capturing the heavy tails that characterize empirical log
 -returns\, which standard Gaussian models fail to reproduce. In this work\
 , we present a comprehensive empirical validation of a hybrid model that i
 ntegrates non-extensive statistical mechanics with a microscopic agent-bas
 ed dynamics characterized by herding behavior. The simulated log-returns a
 re compared with high-frequency data from stocks in developed and emerging
  markets\, revealing that the q-Gaussian model reproduces the heavy tails 
 of liquid markets with remarkable accuracy\, whereas the Gaussian model be
 tter captures the statistical structure of assets such as oil and exchange
  rates\, additionally exhibiting a surprising degree of temporal scale inv
 ariance. An additional finding is the identification of an intrinsic limit
  to the validity of the hybrid model\, arising from its own dynamics witho
 ut the need for externally imposed criteria. The analysis is further exten
 ded to high-frequency cryptocurrency and foreign exchange pairs\, where th
 e systematic variation of the parameter q enables the quantification of th
 e degree of non-extensivity inherent to each market. The results indicate 
 that the Tsallis formalism not only successfully captures the heavy tails 
 of the assets considered\, but also that the parameter q serves as a quant
 itative indicator of the degree of statistical complexity inherent in each
  asset class\, raising the question of the potential universality of this 
 approach across financial markets as diverse as digital and traditional on
 es.\n\nhttps://fisindico.uniandes.edu.co/event/23/contributions/340/
LOCATION:Universidad Nacional Edificio 564
URL:https://fisindico.uniandes.edu.co/event/23/contributions/340/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Stability of Nonrelativistic Matter
DTSTART;VALUE=DATE-TIME:20260414T223900Z
DTEND;VALUE=DATE-TIME:20260414T224600Z
DTSTAMP;VALUE=DATE-TIME:20260414T043507Z
UID:indico-contribution-93-337@fisindico.uniandes.edu.co
DESCRIPTION:Speakers: Juan Felipe Prieto Mateus (Universidad de los Andes)
 \nThe stability of matter is often assumed without question. We typically 
 believe that established physical theories can easily predict that atoms a
 nd molecules will not collapse or that the total energy of matter scales l
 inearly with the number of particles. However\, these questions remained u
 nresolved when quantum theory was first established\, and it actually took
  several decades before any proof was provided. In this talk\, we present 
 Lieb's proof of the stability of non-relativistic matter. By modeling matt
 er as a system of $N$ particles interacting under Coulomb forces\, we show
  how to derive a linear bound for the total energy of the system as a func
 tion of $N$\; that is\, to find a constant $k$ such that $\\mathcal{E}(\\p
 si) > kN $ for every wave function $ \\psi $ of the system. To achieve thi
 s\, we apply the Lieb-Thirring inequalities in the context of Schrödinger
  operators and use a semiclassical approximation of the Coulomb energy. Fi
 nally\, we discuss how this linear bound for the total energy leads to the
  conclusion that matter is extensive and bosonic matter is unstable.\n\nht
 tps://fisindico.uniandes.edu.co/event/23/contributions/337/
LOCATION:Universidad Nacional Edificio 564
URL:https://fisindico.uniandes.edu.co/event/23/contributions/337/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Random Walks on Networks: Effective Distance\, Entropy\, and Fract
 ional Dynamics
DTSTART;VALUE=DATE-TIME:20260414T223200Z
DTEND;VALUE=DATE-TIME:20260414T223900Z
DTSTAMP;VALUE=DATE-TIME:20260414T043507Z
UID:indico-contribution-93-336@fisindico.uniandes.edu.co
DESCRIPTION:Speakers: Juan Pablo Castro Rodriguez (Universidad Nacional de
  Colombia)\nWe develop a path-integral formulation of first-passage random
  walks on networks and extend it to fractional transport dynamics. In this
  framework\, the random-walk effective distance is defined from the ensemb
 le of all first-passage trajectories connecting a source to a target\, wei
 ghted by both their probabilities and their lengths. This construction nat
 urally introduces a trajectory partition function\, an effective action\, 
 and a free-energy-like interpretation of transport on networks. We further
  define the Shannon entropy of the first-passage trajectory ensemble and n
 ode-level indicators based on total shortest-path and total random-walk ef
 fective distances.\n\nThe formalism is first analyzed in simple benchmark 
 topologies\, where it captures symmetry\, boundary effects\, hub dominance
 \, and hierarchy. It is then generalized to the fractional case by replaci
 ng local random-walk dynamics with nonlocal transport induced by the fract
 ional network operator. The results show that fractional dynamics reshapes
  effective distances\, trajectory diversity\, and node accessibility by en
 hancing long-range exploration across the network. Altogether\, the framew
 ork provides a unified description of local and nonlocal spreading on netw
 orks and offers a basis for future applications to complex systems.\n\nhtt
 ps://fisindico.uniandes.edu.co/event/23/contributions/336/
LOCATION:Universidad Nacional Edificio 564
URL:https://fisindico.uniandes.edu.co/event/23/contributions/336/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Scaling of ensemble fluctuation and Pareto laws in the distributio
 ns of average property prices per block in Bogotá
DTSTART;VALUE=DATE-TIME:20260414T222500Z
DTEND;VALUE=DATE-TIME:20260414T223200Z
DTSTAMP;VALUE=DATE-TIME:20260414T043507Z
UID:indico-contribution-93-334@fisindico.uniandes.edu.co
DESCRIPTION:Speakers: Esteban Quintero Martinez (Universidad Nacional de C
 olombia)\nAn econophysical study of datasets on cadastral and commercial v
 alues of average prices per property per block in Bogotá leads us to iden
 tify the existence of ensemble fluctuation scaling. This scaling\, which i
 s a property of complex systems observed in a variety of natural scenarios
  and is characterized by a power-law relationship between the variance and
  the mean of the data\, is found for the first time in data on average urb
 an property prices. Furthermore\, we find that the scaling of ensemble flu
 ctuations exhibit spatial scale invariance when considering average proper
 ty prices per block at the following spatial scales: blocks\, neighborhood
 s\, zoning planning units\, and localities. Finally\, for low and medium a
 verage price values\, we find that the probability distribution fits a log
 normal distribution\, while the distribution above a certain price thresho
 ld follows a Pareto law for heavy tails.\n\nhttps://fisindico.uniandes.edu
 .co/event/23/contributions/334/
LOCATION:Universidad Nacional Edificio 564
URL:https://fisindico.uniandes.edu.co/event/23/contributions/334/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Scale invariance in heavy tails of the S&P 500 stock index using t
 he fractional Laskin model
DTSTART;VALUE=DATE-TIME:20260414T221800Z
DTEND;VALUE=DATE-TIME:20260414T222500Z
DTSTAMP;VALUE=DATE-TIME:20260414T043507Z
UID:indico-contribution-93-333@fisindico.uniandes.edu.co
DESCRIPTION:Speakers: Oscar Fabio  Herrera  Marroquín (universidad nacion
 al de Colombia)\nIn this work\, we study the time scale invariance for the
  heavy tails of the minute log returns time series of the S&P 500 stock in
 dex for three different time periods (January 2011 – October 2015\, Nove
 mber 2015 – December 2019\, January 2020 – October 2023)\, considering
  minute\, hour\, and day time series for each case. Using the symmetric fr
 actional Laskin model\, which describes the dissipative effects of the fin
 ancial market through a shot noise type stochastic dissipative force that 
 is similar for positive and negative log returns\, we calculate the fittin
 g parameters of the heavy tails for each of the considered time periods an
 d for each of the studied time scales. We contrast these fitting parameter
 s with the power law exponents calculated for the high log returns time se
 ries (data above a certain threshold)\, for both positive and negative log
  returns\, showing the existence of asymmetry for each of the cases. The a
 symmetries found in the heavy tails are consistent with those observed thr
 ough the Lévy distribution fitting parameters of the low and medium time 
 series log returns.\n\nhttps://fisindico.uniandes.edu.co/event/23/contribu
 tions/333/
LOCATION:Universidad Nacional Edificio 564
URL:https://fisindico.uniandes.edu.co/event/23/contributions/333/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Dynamics of correlations in a Werner state weakly coupled to a the
 rmal bath
DTSTART;VALUE=DATE-TIME:20260414T221100Z
DTEND;VALUE=DATE-TIME:20260414T221800Z
DTSTAMP;VALUE=DATE-TIME:20260414T043507Z
UID:indico-contribution-93-332@fisindico.uniandes.edu.co
DESCRIPTION:Speakers: Daniel Felipe Vargas Castillo (Universidad de los An
 des)\nQuantum thermodynamics aims to understand how thermodynamic processe
 s emerge in quantum systems\, particularly in relation to information and 
 entanglement. In this work we study the dynamics of correlations of a Wern
 er state composed of two qubits weakly coupled to a thermal bath. The syst
 em is described using a Lindblad master equation\, modelling the environme
 nt as a thermal reservoir that induces transitions between the qubit energ
 y levels according to Boltzmann statistics. Within this framework we analy
 ze the evolution of thermodynamic and informational quantities\, such as e
 ntropy and mutual information\, as functions of temperature and of the Wer
 ner-state parameter. Finally\, we discuss mechanisms governing the transfo
 rmation between different Werner states and the thermodynamic aspects asso
 ciated with these changes.\n\nhttps://fisindico.uniandes.edu.co/event/23/c
 ontributions/332/
LOCATION:Universidad Nacional Edificio 564
URL:https://fisindico.uniandes.edu.co/event/23/contributions/332/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Inducing synchronization in complex networks via stochastic resett
 ing in the Kuramoto model
DTSTART;VALUE=DATE-TIME:20260414T220400Z
DTEND;VALUE=DATE-TIME:20260414T221100Z
DTSTAMP;VALUE=DATE-TIME:20260414T043507Z
UID:indico-contribution-93-330@fisindico.uniandes.edu.co
DESCRIPTION:Speakers: KEVIN PARAMERO ARIAS (UNIVERSIDAD NACIONAL DE COLOMB
 IA)\nCollective synchronization is an emergent phenomenon in physical\, bi
 ological\, and\ntechnological systems\, where local interactions enable dy
 namical adjustment among\noscillators. In complex networks\, the Kuramoto 
 model provides a fundamental framework to study the transition between inc
 oherent and synchronized states\; however\, synchronization typically requ
 ires sufficiently strong coupling\, which limits its controllability in su
 bcritical regimes. In this work\, we investigate an extension based on the
  stochastic resetting of subsystems\, defined as random interruptions that
  restore the phase of a fraction of nodes to a reference value. We analyze
  this dynamics on different network topologies using numerical simulations
  and a mean-field theoretical approach\, evaluating the role of the resett
 ing rate\, the fraction of reset nodes\, and structural heterogeneity in t
 he synchronization transition. \nOur main result shows that stochastic res
 etting can induce synchronization even in regimes where the original dynam
 ics remains incoherent. This mechanism acts as a local realignment process
  that counteracts phase dispersion and reduces the effective coupling thre
 shold. These findings identify resetting as an effective strategy to promo
 te and control collective coherence in complex oscillator networks.\n\nhtt
 ps://fisindico.uniandes.edu.co/event/23/contributions/330/
LOCATION:Universidad Nacional Edificio 564
URL:https://fisindico.uniandes.edu.co/event/23/contributions/330/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Encounter times of random walkers with simultaneous resetting on n
 etworks
DTSTART;VALUE=DATE-TIME:20260414T215700Z
DTEND;VALUE=DATE-TIME:20260414T220400Z
DTSTAMP;VALUE=DATE-TIME:20260414T043507Z
UID:indico-contribution-93-328@fisindico.uniandes.edu.co
DESCRIPTION:Speakers: Cristian David Suarez Jimenez (Universidad Nacional 
 de Colombia)\nIn this work\, we study the dynamics of multiple random walk
 ers on networks subject to a simultaneous resetting protocol\, whereby all
  walkers are synchronously returned to their respective initial nodes. For
  this collective Markovian process\, we derive exact analytical expression
 s for the mean first-encounter time\, defined as the average time required
  for all walkers to meet for the first time at a given node. These results
  are formulated in terms of the eigenvalues and eigenvectors of the transi
 tion matrices governing the dynamics without resetting\, providing a clear
  spectral interpretation of the impact of resetting on encounter processes
 . We further establish a general criterion for finite networks that determ
 ines when the introduction of a nonzero resetting probability reduces the 
 mean first-encounter time and leads to an optimal resetting strategy. The 
 theoretical predictions are illustrated through numerical results on regul
 ar and heterogeneous networks\, for encounters involving two or more walke
 rs\, and for combinations of local and nonlocal dynamics. Our findings dem
 onstrate that simultaneous resetting can significantly reduce encounter ti
 mes for specific targets and initial conditions\, while becoming ineffecti
 ve for highly exploratory dynamics or distant targets. The framework provi
 des a unified approach to collective search and encounter problems on netw
 orks with resetting.\n\nhttps://fisindico.uniandes.edu.co/event/23/contrib
 utions/328/
LOCATION:Universidad Nacional Edificio 564
URL:https://fisindico.uniandes.edu.co/event/23/contributions/328/
END:VEVENT
END:VCALENDAR