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Facts from calculus and their $ d$-dimensional analogues

The basic fact from calculus that powers the whole discussion is:

Proposition 1  

$\displaystyle \int_{-\infty}^{\infty} dx~~ e^{ -\frac{\scriptstyle a}{2}x^2} = \sqrt{\frac{2\pi}{a}}.$

The identity with $ a=1$ is proved by the familiar trick of calculating the square of the integral in polar coordinates. The general identity follows by change of variable from $ x$ to $ x{\sqrt a}$ .

This fact generalizes to higher-dimensional integrals. Set $ {\bf v} = (v^1, \dots, v^d)$ and $ d{\bf v} = dv^1\cdots dv^d$, and let $ A$ be a symmetric $ d$ by $ d$ matrix.

Proposition 2  

$\displaystyle \int_{{\bf R}^d} d{\bf v} ~~\exp(-{\scriptstyle\frac{1}{2}}{\bf v}^tA~{\bf v}) = (2\pi)^{d/2} (\det A)^{-1/2}.$

We work the calculation for the case $ A$ diagonalizable: in that case there exists an orthogonal matrix $ U$ (so $ U^t = U^{-1}$) such that $ UAU^{-1}$ is the diagonal matrix $ B$ whose only nonzero entries are $ b_{11}, \dots,
b_{dd}$ along the diagonal. Then $ A = U^{-1}B~U$ and $ {\bf v}^tA~{\bf v} =
{\bf v}^tU^{-1}B~U{\bf v} = {\bf v}^tU^tB~U{\bf v} = {\bf w}^tB~{\bf w}$ where $ {\bf w} = U{\bf v}$, using $ U^t = U^{-1}$ and $ (U{\bf v})^t = {\bf v}^tU^t$. Since $ U$ is orthogonal $ \det U =1$ and the change of variable from $ {\bf v}$ to $ {\bf w}$ does not change the integral:

$\displaystyle \int_{{\bf R}^d} d{\bf v} ~~\exp(-{\scriptstyle\frac{1}{2}}{\bf v...
...\int_{{\bf R}^d} d{\bf w} ~~\exp(-{\scriptstyle\frac{1}{2}}{\bf w}^tB~{\bf w})=$

$\displaystyle \int_{{\bf R}^d} d{\bf w} ~~\exp(b_{11}(w^1)^2 +\cdots + b_{dd}(w^d)^2) =$

$\displaystyle \int_{{\bf R}^d} d{\bf w} ~~\exp(b_{11}(w^1)^2)~ \cdots ~\exp( b_{dd}(w^d)^2) =$

$\displaystyle (\int_{-\infty}^{\infty} dw^1~\exp(b_{11}(w^1)^2))~\cdots~(\int_{-\infty}^{\infty} dw^d~\exp(b_{dd}(w^d)^2))=$

$\displaystyle (\sqrt{2\pi}/\sqrt{b_{11}})~\cdots~ (\sqrt{2\pi}/\sqrt{b_{dd}})=$

$\displaystyle (2\pi)^{d/2} (\det B)^{-1/2} = (2\pi)^{d/2} (\det A)^{-1/2}.$

The argument in general uses two additional observations: both sides of the equation vary continuously as functions of the entries in $ A$, and any matrix $ A$ with complex coefficients can be approximated to arbitrary accuracy by diagonalizable matrices.

Proposition 3  

$\displaystyle \int_{-\infty}^{\infty} dx \, e^{-\frac{a}{2}x^2 + bx} =
\sqrt{\frac{2\pi}{a} } e^{b^2/2a}\, .$

This follows from Proposition 1 by completion of the square in the exponent and a change of variables.

The generalization to $ d$ dimensions replaces $ a$ with $ A$ as before and $ b$ with the vector $ {\bf b} = (b^1,\dots,b^d)$.

Proposition 4  

$\displaystyle \int_{{\bf R}^d} d{\bf v} ~~\exp(-{\scriptstyle\frac{ 1}{ 2}}{\bf...
...)^{d/2} (\det A)^{-1/2} \exp({\scriptstyle\frac{1}{2}}{\bf b}^tA^{-1}{\bf b}). $

This is proven exactly like Proposition 2. If we write this integral as $ Z_{\bf b}$, then the integral of Proposition 2 is $ Z_0$ and this proposition can be rewritten as

$\displaystyle Z_{\bf b} = Z_0 \exp({\scriptstyle\frac{1}{2}}{\bf b}^tA^{-1}{\bf b}) . $


next up previous
Next: -point Functions Up: Finite-dimensional Feynman Diagrams Previous: Finite-dimensional Feynman Diagrams
Tony Phillips 2001-11-06