📈 So you thought you could dodge #calculus with a “conceptual” take on Euler's formula? 😂 Spoiler: it's just a fancy way to say you're still drowning in power series, but now with extra philosophy! 🧠🔄
http://www.deaneyang.com//blog/blog/math/exponential-function/euler-formula/2025/05/29/ExponentialFunctions.html #PowerSeries #Humor #MathPhilosophy #DrowningInMath #HackerNews #ngated
Exponential functions and Euler’s formula

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A Cluttered Mind
Isogeometric Analysis: Bezier Curves and Surfaces in Octave and TypeScript - The Bugfree Blog ;-)

While working on my sample IGA implementation here https://github.com/carlonluca/isogeometric-analysis, I found myself in need of defining and implementing the math structures used to define the domain and the solution space. This means that I had to implement various algorithms to define structures like Bezier, B-spline, NURBS and T-spline. So this is a quick intro to […]

The Bugfree Blog ;-)

The integral

\[ \int_0^\infty x^k e^{-x} dx = k! \]

is used as motivation for the gamma function and in the irrationality proof of \( e \). But it can also be used for the transformation \( T \) defined by

\[ T f = \int_0^\infty f(x) e^{-x} dx. \]

If \( f = \sum_i f_i x^i \) is a power series and everything converges, it is transformed to \( T f = \sum_i f_i i! \). One can therefore say that \( T \) evaluates \( f \) at the factorial and write

\[ T f = f(!). \]

Are there other unusual places at which one can evaluate a function?

#Mathematics #PowerSeries #Integrals

Two must reads for anyone serious about sequences, computing methodologies, and combinatorial algorithms.

S. Yurkevich, The art of algorithmic guessing in gfun,
https://doi.org/10.5206/mt.v2i1.14421

B. T. Tabuguia, W. Koepf, On the Rep. of Non-Holonomic Univariate Power Series,
https://doi.org/10.5206/mt.v2i1.14315

The examples are primarily aimed at Maple users but the expositions are general enough to give a good start.

#TheArtOfGuessing, #P-recursive sequences, #D-finite functions, #Holonomic, #PowerSeries

The art of algorithmic guessing in gfun | Maple Transactions

For an insurance company to be successful over T, earning >claim , e> c
What premium { q} over T
-> {C=\Sigma X_{i}} < Nq} This large deviations theory i.i.d. random variables, where rate function is expressed as a #powerseries
For an insurance company to be successful over T, earning >claim , e> c
What premium { q} over T
-> {C=\Sigma X_{i}} < Nq} This large deviations theory i.i.d. random variables, where rate function is expressed as a #powerseries
complex analytic function is defined in an open ball B around a point x_0, its #powerseries expansion at x_0 is convergent in whole open ball (holomorphic functions are analytic) (1)
For real analytic functions (B : open interval of real line r/t an open disk of complex plane)
complex analytic function is defined in an open ball B around a point x_0, its #powerseries expansion at x_0 is convergent in whole open ball (holomorphic functions are analytic) (1)
For real analytic functions (B : open interval of real line r/t an open disk of complex plane)