Grassmann integral

In mathematical physics, a Grassmann integral, or, more correctly, Berezin integral, is a way to define integration for functions of Grassmann variables. It is not an integral in the Lebesgue sense; it is called integration because it has analogous properties and since it is used in physics as a sum over histories for fermions, an extension of the path integral. The technique was invented by the Russian mathematician Felix Berezin and developed in his textbook.[1] Some earlier insights were made by the physicist David John Candlin[2] in 1956.

Definition

The Berezin integral is defined to be a linear functional

\int [af(\theta)+bg(\theta)] \, d\theta = a\int f(\theta) \, d\theta + b\int g(\theta) \, d\theta

where we define

\int \theta \, d\theta = 1
\int  \, d\theta = 0

so that :

\int \frac\partial{\partial\theta}f(\theta)\,d\theta = 0.

These properties define the integral uniquely.

\int (a\theta+b)\, d\theta = a.

This is the most general function, because every homogeneous function of one Grassmann variable is either constant or linear.

Multiple variables

Integration over multiple variables is defined by Fubini's theorem:

\int f_1(\theta_1)\cdots f_n(\theta_n)\, d\theta_1\cdots \, d\theta_n = \int f_1(\theta_1) \, d\theta_1\cdots \int f_n(\theta_n) \, d\theta_n.

Note that the sign of the result depends on the order of integration.

Suppose now we want to do a substitution:

\theta_i=\theta_i(\xi_j)

where as usual (ξj) implies dependence on all ξj. Moreover the function θi has to be an odd function, i.e. contains an odd number of ξj in each summand. The Jacobian is the usual matrix

J_{ij}=\frac{\partial\theta_i}{\partial\xi_j}.

the substitution formula now reads as

\int f(\theta_i) \, d\theta = \int f(\theta_i(\xi_j)) \det(J_{ij})^{-1} \, d\xi.

Substitution formula

Consider now a mixture of even and odd variables, i.e. xa and θi. Again we assume a coordinate transformation as x_a=x_a(y_b,\xi_j)\,,\; \theta_i=\theta_i(y_b,\xi_j)\;, where xa are even functions and θi are odd functions. We assume the functions xa and θi to be defined on an open set U in Rm. The functions xa map onto the open set U' in Rm.

The change of the integral will depend on the Jacobian

J_{\alpha\beta}=\frac{\partial (x_a,\theta_i)}{\partial(y_b,\xi_j)}.

This matrix consists of four blocks:

J=\begin{bmatrix}A&B\\ C&D \end{bmatrix}.

A and D are even functions due to the derivation properties, B and C are odd functions. A matrix of this block structure is called even matrix.

The transformation factor itself depends on the oriented Berezinian of the Jacobian. This is defined as:

 \operatorname{Ber}_{+-} J_{\alpha\beta} = \operatorname{sgn}\, \operatorname{det} A\, \operatorname{Ber} J_{\alpha\beta}.

For further details see the article about the Berezinian.

The complete formula now reads as:

 \int_U f(x_a,\theta_i) \, d(x,\theta) =
\int_{U'} f(x_a,\theta_i) \operatorname{Ber}_{+-}\, \frac{\partial(x_a,\theta_i)}{\partial(y_b,\xi_j)} \, d(y,\xi).

Gaussian integrals over Grassmann variables

The following formulas for Gaussian integrals are used often in the path integral formulation of quantum field theory:

\int \exp\left[\theta^TA\eta\right] \,d\theta\,d\eta = \det A

with A being a n \times n matrix.

\int \exp\left[-\theta^T M \theta\right] \,d\theta = \begin{cases} 2 ^{n\over 2 } \sqrt{ \det M } , & n \mbox{ even} \\ 0 , & n \mbox{ odd} \end{cases}

with M being an n \times n antisymmetric matrix. In the above formulas the notation  d \theta = d\theta_1\cdots \, d\theta_n is used.

From the above formulas, other useful formulas follow:

\int \exp\left[\theta^TA\eta +\theta^T J + K^T \eta \right] \,d\theta\,d\eta = \det A \,\,\exp[-K^T A^{-1} J ]

with  A being an invertible n \times n matrix,  K and J are Grassmann variables.

\int \exp\left[-{1\over 2} \theta^T M \theta + \eta^T \theta \right] \,d\theta = \begin{cases}  \sqrt{ \det M } \exp \left[ -{1\over 2} \eta^T M^{-1} \eta \right]  , & n \mbox{ even} \\ 0 , & n \mbox{ odd} \end{cases}

with M being an invertible n \times n antisymmetric matrix, and  \eta Grassmann variable.

See also

Literature

References

  1. A. Berezin, The Method of Second Quantization, Academic Press, (1966)
  2. D.J. Candlin (1956). "On Sums over Trajectories for Systems With Fermi Statistics". Nuovo Cimento 4: 231. doi:10.1007/BF02745446.