Multi-index Notation

The notion of multi-indices simplifies formulae used in the multivariable calculus, 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
\alpha = (\alpha_{1}, \alpha_{2},\ldots,\alpha_{n})
with integers \alpha_{i}. For multi-indices \alpha, \beta \in \mathbb{N}^n and \mathbf{x} = (x_{1}, x_{2}, \ldots, x_{n}) \in \mathbb{R}^n one defines:
\alpha \pm \beta:= (\alpha_{1} \pm \beta_{1},\,\alpha_{2} \pm \beta_{2}, \ldots, \,\alpha_{n} \pm \beta_{n})
\alpha \le \beta \quad \Leftrightarrow \quad \alpha_{i} \le \beta_{i} \quad \forall\,i
| \alpha | = \alpha_{1} + \alpha_{2} + \ldots + \alpha_{n}
\alpha ! = \alpha_{1}! \alpha_{2}! \ldots \alpha_{n}!
{\alpha \choose \beta} = \frac{\alpha!}{(\alpha - \beta)! \, \beta!}={\alpha_{1} \choose \beta_{1}}{\alpha_{2} \choose \beta_{2}}\ldots{\alpha_{n} \choose \beta_{n}}
\mathbf{x}^\alpha = x_{1}^{\alpha_{1}} x_{2}^{\alpha_{2}} \ldots x_{n}^{\alpha_{n}}
D^{\alpha} := D_{1}^{\alpha_{1}} D_{2}^{\alpha_{2}} \ldots D_{n}^{\alpha_{n}} where D_{i}^{j}:=\partial^{j} / \partial x_{i}^{j}
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:
\left( \sum_{i=1}^{n}{x_i}\right)^k = \sum_>
/dd> Leibniz formula: for smooth functions u, v
D^{\alpha}(uv) = \sum_{\nu \le \alpha}^{}
A formal N-th order partial differential operator in n variables is written as
P(D) = \sum_{|\alpha| \le N}{}{a_{\alpha}(x)D^{\alpha}}
Partial integration: for smooth functions with compact support in a bounded domain \Omega \subset \mathbb{R}^n one has
\int_{\Omega}{}{u(D^{\alpha}v)}\,dx = (-1)^{|\alpha
\int_{\Omega}^{}{(D^{\alpha}u)v\,dx}
This formula is used for the definition of distributions and weak derivatives.

 

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