New paper for the end of the year. We found a convex domain in hyperbolic space for which the fundamental gap for Dirichlet eigenvalues of the Laplacian-with-a-convex-potential is NOT minimised by a constant potential. Joint work with Hien Nguyen and Frieder Jaeckel. We were motivated by a similar result for metric graphs. #maths #eigenvalues https://arxiv.org/abs/2512.17103
Constant potentials do not minimise the fundamental gap on convex domains in hyperbolic space

We show that for every $n \geq 2$ and $D > 0$ there exist a convex domain $Ω\subseteq \mathbb H^n$ with diameter $D$ and a convex potential $V$ on $Ω$ such that the fundamental gap of the operator $-Δ+V$ is strictly smaller than the fundamental gap of $-Δ$. In comparison to previous work, this result requires more refined control of the eigenfunctions.

arXiv.org

In PCA, eigenvalues represent the variance explained by each principal component, while eigenvectors determine the direction of these components, illustrating how the original variables are weighted.

More info in my online course: https://statisticsglobe.com/online-course-pca-theory-application-r

#DataScience #PCA #Eigenvalues #Eigenvectors #RProgramming #DataAnalysis

Online Course: Principal Component Analysis (PCA) - Theory & Application in R

The Ultimate Course to Quickly Master Data Manipulation in R Using dplyr & the tidyverse - Instructor: Joachim Schork - Statistics Globe

Statistics Globe
In the world of #Eigenvalues and #Agile, it's all about identifying the unique strengths within your team. Just as Eigenvalues characterize distinctive traits of a matrix, #AgileCheese unveils the individual brilliance of each team member. Maximize your #Eigenvalue, maximize your #cheese! 🚀🧀 #AgileInsights #EigenvalueInAgility

How Lewis Carroll computed determinants
https://www.johndcook.com/blog/2023/07/10/lewis-carroll-determinants
Discussion: https://news.ycombinator.com/item?id=36720435

In mathematics, the determinant (https://en.wikipedia.org/wiki/Determinant) is a scalar value that is a function of the entries of a square matrix.

Determinants describe solutions of linear systems of equations, written in matrix form as Ax = b

http://pirate.shu.edu/~wachsmut/Teaching/MATH3912/Projects/papers/zwolinksi_determinants.pdf
https://www.mathsisfun.com/algebra/systems-linear-equations-matrices.html
...

#MatrixTheory #mathematics #LinearAlgebra #LewisCarroll #eigenvalues

How Lewis Carroll computed determinants

Charles Dodgson (a.k.a. Lewis Carroll) developed a method of computing determinants which has some practical advantages.

John D. Cook | Applied Mathematics Consulting

My intro notes for network analysis in economics are now part of #QuantEcon #DataScience — a great set of open source resources for teaching computational skills to undergraduate economists đŸ§‘â€đŸ’»

Click here to learn more about #eigenvalues!
https://datascience.quantecon.org/applications/networks.html

Social and Economic Networks

This website presents a series of lectures on programming, data science, and economics.

QuantEcon DataScience
#Eigenvectors and #eigenvalues are beaut things. They are ESNTL for doing Principal Component Analysis (#PCA) which is an imp. technique in #UnsupervisedLearning. #PCA allows us to greatly reduce the dimensionality of datasets and keep most of the imp. info
https://bit.ly/3vWv1dH
A Step-by-Step Explanation of Principal Component Analysis (PCA)

Principal Component Analysis (PCA) can help reduce dimensionality in large data sets. Learn how to use PCA and understand how it works.

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@ben_golub
#eigenvalues

“A cynic is a man who knows the eigenprice of everything and the eigenvalue of nothing.”

Let's normalize using the #eigenvalues hashtag
An #intoduction after moving instances: I'm a #prof at #cornell in #CS doing scientific computing. Home base is #linearalgebra (esp #eigenvalues), computational #mechanics, #optimization. Work on numerical methods for #data science, formal verification of numerics, #plasma #physics for #fusion, etc. I run our Center for Applied Math, am assoc dean for #DEI in the college. Collect #fountainpens, read #scifi & #fantasy, #code in #julia (and C/C++, Fortran). Also #coffee, #tea, #books, more #books.
(Also: #coffee, #tea, #books, and more #books. #linearalgebra, #eigenvalues, #optimization, etc. All sorts of #science, whether I'm doing it or something else. And #engineering - like #math, but louder, per a t-shirt that my brother likes to wear.)