1. 01

    Higher-Order Parametric Derivatives via Definite Integrals

    A study of one identity obtained from differentiation under the integral sign, which turns the n-th derivative of a boundary quotient into a single definite integral. Applied to trigonometric, exponential, and hyperbolic kernels, it gives phase-shifted formulas, Frullani-type evaluations via Fubini's theorem, and a route to the Laplace transform.

  2. 02

    An Operator-Based Framework for Integral Transforms

    A framework that builds integral transforms from the Maclaurin coefficients of the input, letting each coefficient select a derivative of the kernel 1/s. The construction reproduces the Laplace transform, leads to Fourier and Mellin-type transforms through the choice of rank, and extends to general kernels, convolution, and fractional integration.

  3. 03

    Mathematical Geometry: Angular–Hyperbolic Representation

    A geometric reading of the Laplace transform in which damping and frequency are separate coordinates of a point in the plane. Bounded oscillatory kernels take a polar form governed by an angle, unbounded kernels a hyperbolic form, and composite kernels such as sinc and Bessel functions are treated as angularly saturated.

  4. 04

    Root Geometry and Higher Derivatives of Rational Functions

    Closed formulas for the n-th derivative of rational functions, obtained by writing each quadratic factor through its roots. Complex-conjugate roots lead to a trigonometric law and real roots to a hyperbolic law, and partial fractions extend the method to linear numerators, cubic denominators, and Taylor coefficients.

  5. 05

    Matrix Boundary Method

    A finite-dimensional method for integrals of the form e^(bx) f(x) over [0, a], where f lies in a function space closed under differentiation. Differentiation becomes a constant matrix, and the integral reduces to one linear system and a boundary evaluation, with extensions to products, matrix exponentials, the Laplace transform, and first-order linear ODEs.

  1. Derivatives
  2. Operators
  3. Transforms
  4. Geometry
  5. Root structure
  6. Matrices

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