Multi-indices Multi-indices

Multi-indices - Definition and Overview

Topics in Calculus

Fundamental theorem | Function | Limits of functions | Continuity | Calculus with polynomials

Differentiation

Product rule | Quotient rule | Chain rule | Implicit differentiation | Taylor's theorem

Integration
Integration by substitution | Integration by parts | Integration by trigonometric substitution | Solids of revolution | Integration by disks | Integration by cylindrical shells | Lists of integrals
Vector Calculus
Vector | Vector field | Matrix | Partial Derivative | Gradient | Flux | Divergence | Divergence Theorem | Del | Curl | Green's Theorem | Stokes' Theorem
Tensor Calculus
Tensor | Tensor field | Tensor product | Exterior power | Exterior Derivative | Covariant derivative | Manifold

The notion of multi-indices simplifies formula used in the calculus of several variables, partial differential equations and the theory of distributions by generalising the concept of an integer index to an array of indices. An n-dimensional multi-index is a vector

<math>\alpha = (\alpha_{1}, \alpha_{2},\ldots,\alpha_{n})<math>

with integers <math>\alpha_{i}<math>. For multi-indices <math>\alpha, \beta \in \mathbb{N}^n<math> and <math>\mathbf{x} = (x_{1}, x_{2}, \ldots, x_{n}) \in \mathbb{R}^n<math> one defines:

<math>\alpha \pm \beta:= (\alpha_{1} \pm \beta_{1},\,\alpha_{2} \pm \beta_{2}, \ldots, \,\alpha_{n} \pm \beta_{n})<math>
<math>\alpha \le \beta \quad \Leftrightarrow \quad \alpha_{i} \le \beta_{i} \quad \forall\,i<math>
<math>| \alpha | := \alpha_{1} + \alpha_{2} + \ldots + \alpha_{n}<math>
<math>\alpha ! := \alpha_{1}! \alpha_{2}! \ldots \alpha_{n}!<math>
<math>{\alpha \choose \beta} := \frac{\alpha!}{(\alpha - \beta)! \, \beta!}={\alpha_{1} \choose \beta_{1}}{\alpha_{2} \choose \beta_{2}}\ldots{\alpha_{n} \choose \beta_{n}}<math>
<math>\mathbf{x}^\alpha := x_{1}^{\alpha_{1}} x_{2}^{\alpha_{2}} \ldots x_{n}^{\alpha_{n}}<math>
<math>D^{\alpha} := D_{1}^{\alpha_{1}} D_{2}^{\alpha_{2}} \ldots D_{n}^{\alpha_{n}}<math> where <math>D_{i}^{j}:=\partial^{j} / \partial x_{i}^{j}<math>

The notation allows to extend many formula from elementary calculus to the corresponding multi-variable case. Some examples of common applications of multi-index notations:

Multinomial expansion:
<math> \left( \sum_{i=1}^{n}{x_i}\right)^k = \sum_{|\alpha|=k}^{}{\frac{k!}{\alpha!} \, \mathbf{x}^{\alpha}} <math>

Leibniz formula: for smooth functions u, v
<math>D^{\alpha}(uv) = \sum_{\nu \le \alpha}^{}{{\alpha \choose \nu}D^{\nu}u\,D^{\alpha-\nu}v}<math>

Taylor series: for an analytical function f one has
<math>f(\mathbf{x}+\mathbf{h}) = \sum_{|\alpha| \ge 0}^{}{\frac{D^{\alpha}f(\mathbf{x})}{\alpha !}\mathbf{h}^{\alpha}}<math>

A formal N-th order partial differential operator in n variables is written as
<math>P(D) = \sum_{|\alpha| \le N}{}{a_{\alpha}(x)D^{\alpha}}<math>

Partial integration: for smooth functions with compact support in a bounded domain <math>\Omega \subset \mathbb{R}^n<math> one has
<math>\int_{\Omega}{}{u(D^{\alpha}v)}\,dx = (-1)^{|\alpha|}\int_{\Omega}^{}{(D^{\alpha}u)v\,dx}<math>

This formula is instrumental for the definition of distributions and weak derivatives.

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