Residue (complex analysis)

In mathematics, more specifically complex analysis, the residue of a function at a point of its domain is a complex number proportional to the contour integral of a meromorphic function along a path enclosing one of its singularities. (More generally, residues can be calculated for any function that is holomorphic except at the discrete points , which may include essential singularities.) Residues are typically readily computed and, once known, allow the determination of general contour integrals via the residue theorem.

Definition

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The residue of a meromorphic function   at an isolated singularity  , often denoted  ,  ,   or  , is the unique value   such that   has an analytic antiderivative in a punctured disk  .

Alternatively, residues can be calculated by finding Laurent series expansions, and one can define the residue as the coefficient   of a Laurent series.

The concept can be used to provide contour integration values of certain contour integral problems considered in the residue theorem. According to the residue theorem, for a meromorphic function  , the residue at point   is given as:

 

where   is a positively oriented simple closed curve around   and not including any other singularities on or inside the curve.

The definition of a residue can be generalized to arbitrary Riemann surfaces. Suppose   is a 1-form on a Riemann surface. Let   be meromorphic at some point  , so that we may write   in local coordinates as  . Then, the residue of   at   is defined to be the residue of   at the point corresponding to  .

Contour integration

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Contour integral of a monomial

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Computing the residue of a monomial

 

makes most residue computations easy to do. Since path integral computations are homotopy invariant, we will let   be the circle with radius   going counter clockwise. Then, using the change of coordinates   we find that

 

hence this integral now reads as

 

Thus, the residue of   is   if integer   and   otherwise.

Generalization to Laurent series

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If a function is expressed as a Laurent series expansion around   as follows:   Then, the residue at the point   is calculated as:   using the results from contour integral of a monomial for counter clockwise contour integral   around a point  . Hence, if a Laurent series representation of a function exists around  , then its residue around   is known by the coefficient of the term  .

Application in residue theorem

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For a meromorphic function  , with a finite set of singularities within a positively oriented simple closed curve   which does not pass through any singularity, the value of the contour integral is given according to residue theorem, as:   where  , the winding number, is   if   is in the interior of   and   if not, simplifying to:   where   are all isolated singularities within the contour  .

Calculation of residues

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Suppose a punctured disk   in the complex plane is given and   is a holomorphic function defined (at least) on  . The residue   of   at   is the coefficient   of   in the Laurent series expansion of   around  . Various methods exist for calculating this value, and the choice of which method to use depends on the function in question, and on the nature of the singularity.

According to the residue theorem, we have:

 

where   traces out a circle around   in a counterclockwise manner and does not pass through or contain other singularities within it. We may choose the path   to be a circle of radius   around  . Since   can be as small as we desire it can be made to contain only the singularity of   due to nature of isolated singularities. This may be used for calculation in cases where the integral can be calculated directly, but it is usually the case that residues are used to simplify calculation of integrals, and not the other way around.

Removable singularities

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If the function   can be continued to a holomorphic function on the whole disk  , then  . The converse is not in general true.

Simple poles

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If   is a simple pole of  , the residue of   is given by:

 

If that limit does not exist, then   instead has an essential singularity at  . If the limit is  , then   is either analytic at   or has a removable singularity there. If the limit is equal to infinity, then the order of the pole is higher than  .

It may be that the function   can be expressed as a quotient of two functions,  , where   and   are holomorphic functions in a neighbourhood of  , with   and  . In such a case, L'Hôpital's rule can be used to simplify the above formula to:

 

Limit formula for higher-order poles

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More generally, if   is a pole of order  , then the residue of   around   can be found by the formula:

 

This formula can be very useful in determining the residues for low-order poles. For higher-order poles, the calculations can become unmanageable, and series expansion is usually easier. For essential singularities, no such simple formula exists, and residues must usually be taken directly from series expansions.

Residue at infinity

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In general, the residue at infinity is defined as:

 

If the following condition is met:

 

then the residue at infinity can be computed using the following formula:

 

If instead

 

then the residue at infinity is

 

For functions that are meromorphic on the entire complex plane with finitely many singularities, the sum of the residues at the (necessarily) isolated singularities plus the residue at infinity is zero, which gives:

 

Series methods

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If parts or all of a function can be expanded into a Taylor series or Laurent series, which may be possible if the parts or the whole of the function has a standard series expansion, then calculating the residue is significantly simpler than by other methods. The residue of the function is simply given by the coefficient of   in the Laurent series expansion of the function.

Examples

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Residue from series expansion

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Example 1

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As an example, consider the contour integral

 

where   is some simple closed curve about  .

Let us evaluate this integral using a standard convergence result about integration by series. Substituting the Taylor series for   into the integrand, the integral becomes

 

Let us bring the term in   into the series. The contour integral of the series then writes

 

Since the series converges uniformly on the support of the integration path, we are allowed to exchange integration and summation. The series of the path integrals then collapses to a much simpler form because of the previous computation. So now the integral around   of every other term not in the form   is zero, and the integral is reduced to

 

The value 1/4! is the residue of   at  , and is denoted

 

Example 2

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As a second example, consider calculating the residues at the singularities of the function which may be used to calculate certain contour integrals. This function appears to have a singularity at  , but if one factorizes the denominator and thus writes the function as   it is apparent that the singularity at   is a removable singularity and then the residue at   is therefore  . The only other singularity is at  . Recall the expression for the Taylor series for a function   about  :   So, for   and   we have   and for   and   we have   Multiplying those two series and introducing   gives us  So the residue of   at   is  .

Example 3

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The next example shows that, computing a residue by series expansion, a major role is played by the Lagrange inversion theorem. Let   be an entire function, and let   with positive radius of convergence, and with  . So   has a local inverse   at  , and   is meromorphic at 0. Then we have:   Indeed,  because the first series converges uniformly on any small circle around 0. Using the Lagrange inversion theorem   and we get the above expression. For example, if   and also  , then   and   The first term contributes   to the residue, and the second term contributes   since it is asymptotic to  .

With the corresponding stronger symmetric assumptions on   and  , it also follows that   where   is a local inverse of   at  .

See also

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References

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  • Ahlfors, Lars (1979). Complex Analysis. McGraw Hill.
  • Marsden, Jerrold E.; Hoffman, Michael J. (1998). Basic Complex Analysis (3rd ed.). W. H. Freeman. ISBN 978-0-7167-2877-1.
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