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Multiple integral representations of the Catalan's constant

This paper presents novel integral representations of Catalan's constant, deriving a double integral result that leads to a general theorem for single integrals and establishing multiple integral representations in dimensions greater than or equal to two using the Lerch function.

Original authors: Emilio Gómez-Déniz, José María Sarabia

Published 2026-05-12
📖 4 min read🧠 Deep dive

Original authors: Emilio Gómez-Déniz, José María Sarabia

Original paper licensed under CC BY 4.0 (http://creativecommons.org/licenses/by/4.0/). This is an AI-generated explanation of the paper below. It is not written or endorsed by the authors. For technical accuracy, refer to the original paper. Read full disclaimer

Imagine Catalan's constant (let's call it G) as a very specific, mysterious number that mathematicians have been trying to catch for a long time. It's roughly equal to 0.916. You can't write it down as a simple fraction like 1/2 or 3/4; it's an infinite, non-repeating decimal.

For years, mathematicians have known how to "catch" this number using a single net (a specific formula involving an infinite sum of fractions) or a single trap (a specific integral, or area under a curve).

This paper is like a master locksmith presenting a new set of keys to open the same door. The authors, Emilio Gómez-Déniz and José María Sarabia, aren't trying to change the value of G; they are showing us many new, surprising ways to calculate it using shapes and areas (integrals) that we haven't seen before.

Here is a breakdown of their three main "keys," explained with everyday analogies:

1. The Double Trap (Two Dimensions)

The Old Way: Imagine trying to find the value of G by looking at a flat, 2D square. You calculate the area under a specific curve inside that square.
The New Way: The authors say, "What if we don't just use a plain square? What if we fill that square with different 'ingredients'?"

They introduce a rule (Theorem 1) that acts like a universal adapter.

  • The Analogy: Think of the integral as a blender. Usually, you just put in water and fruit. The authors say, "You can put in any two smooth, symmetrical ingredients (called distribution functions) into this blender, as long as they balance each other out perfectly."
  • The Result: No matter which symmetrical ingredients you choose (like a bell curve, a flat line, or a specific wave), if you blend them together in this specific mathematical recipe, the final "smoothie" will always taste exactly like G.
  • Why it matters: They show that G isn't just tied to one specific shape; it's hidden inside many different shapes, provided they follow the symmetry rules.

2. The Single Stream (One Dimension)

The Old Way: Usually, to get G, you need to look at a 2D area (like the square mentioned above).
The New Way: The authors found a way to collapse that 2D area down into a single line (Theorem 2).

  • The Analogy: Imagine you have a 3D sculpture of a mountain. Usually, to understand its volume, you have to look at it from the side and the top. The authors found a magic lens that lets you look at the mountain from just one angle and still calculate its exact volume.
  • The Result: They proved that if you take a specific "symmetrical" function (like the shape of a bell curve or a flat line) and run it through a specific filter, the area under that single line is exactly G. This simplifies the math significantly, turning a complex 2D problem into a 1D one.

3. The Multi-Layer Cake (High Dimensions)

The Old Way: We knew how to do this in 1D and 2D.
The New Way: The authors built a general formula that works for 3 dimensions, 4 dimensions, 10 dimensions, or even more (Theorem 3).

  • The Analogy: Imagine you are baking a cake.
    • A 1D cake is a line.
    • A 2D cake is a flat sheet.
    • A 3D cake is a sphere.
    • A 10D cake is... well, it's impossible to visualize, but mathematically, it's a hyper-cake.
    • The authors say: "We can bake a cake in any number of layers (dimensions). As long as we use a special mathematical 'frosting' called the Lerch function to cover the cake, the total weight of the cake will always be G."
  • The Result: They provided the recipe for these high-dimensional cakes. For example, they showed exactly what the "frosting" looks like for a 3-layer cake, a 4-layer cake, and even a 10-layer cake. It turns out that as you add more dimensions, the recipe gets more complex (involving polynomials), but the final result remains the same constant.

Summary

The paper is essentially a mathematical treasure map.

  • The Treasure: Catalan's constant (G).
  • The Map: The authors show that G is not just hiding in one specific integral formula. It is hiding in a double integral (2D), a single integral (1D), and multiple integrals (3D, 4D, up to 10D+).
  • The Twist: They proved that you can swap out the "ingredients" (the functions inside the integral) as long as they are symmetrical, and the result will always be G.

They didn't invent a new constant or find a new use for it in the real world (like in engineering or medicine); they simply expanded the library of mathematical tools we can use to calculate this specific, famous number.

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