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Laurent’s Series

Laurent’s Series

In complex analysis, Laurent's Series is a powerful tool for expressing complex functions, especially those with singularities. Unlike Taylor’s series, which only applies to analytic functions around a point, Laurent’s series is capable of representing functions with isolated singularities. In this blog, we’ll explore the Laurent's Series definition, formula, conditions, and a comparison with Taylor series using examples.

1.0Laurent's Series Definition

Laurent’s series is a representation of a complex function as an infinite series that includes both positive and negative powers of (z - a), where a is a point in the complex plane.

Definition:

If a function f(z) is analytic in an annular region (ring-shaped) around a point a, i.e.,

then f(z) can be expressed as a Laurent series:

This includes both a regular part (positive powers) and a principal part (negative powers).

2.0Laurent's Series Formula

The coefficients in the Laurent series are given by:

Where:

  • C is a positively oriented simple closed contour within the annular region.
  • is the integration variable.

This formula applies to any (positive, negative, or zero).

3.0What is the Laurent Series and Taylor Series?

Both are series expansions of complex functions, but they differ in scope and use:

Feature

Taylor Series

Laurent Series

Powers

Only non-negative integers

Both positive and negative integers

Validity

Around analytic points

Around isolated singularities

Form

Applications

Entire/analytic functions

Functions with poles or essential singularities

4.0What are the Conditions for Laurent's Series?

To express a function f(z) using Laurent’s series, the following conditions must be satisfied:

  1. Analyticity: f(z) must be analytic in an annular region:
  2. Isolated Singularity: The point a can be a removable singularity, pole, or an essential singularity.
  3. Contour Integration: The integral used in calculating the coefficients must be well-defined.

5.0Solved Example on Laurent’s Series Expansion

Example 1: Let: . Find the Laurent series around z = 0 in the region 0 < |z| < 1.

Solution:

We write:

Using the geometric series: for

So,

This is the Laurent series of f(z) in the region


Example 2: Find the Laurent series expansion of valid in the region 0 < |z| < 1.

Solution:

We rewrite:

Now expand as a geometric series:

for

So:

Hence, the Laurent series is:


Example 3: Find the Laurent series of valid in

Solution:

Rewrite:

Now expand:

for

Then:


Example 4: Find the Laurent expansion of in the region

Solution:

We write:

Now expand each term around z = 0, for |z| < 1:

  1. Expand as:
  2. Expand

So:

 

Thus,

 


Example 5: Expand as a Laurent series about z = 0 (valid in )

Solution:

We use the exponential series:

This is a purely principal part, indicating an essential singularity at z = 0.


Example 6: Find the Laurent expansion of valid in 1 < |z| < 2

Solution:

This requires partial fractions:

Use algebra to solve for A, B, C.

After decomposition, you expand:

  • in powers of (for outer region)
  • in powers of (for inner region)

6.0Practice Questions on Laurent Series

Q1. Find the Laurent series of in the annulus

Q2. Find the Laurent series for about z = 0, valid in the region |z| < 2.

Q3. Find the Laurent expansion of around z = 0, up to the term .

Q4. Determine the Laurent expansion for in the region |z| > 2. (Hint: Express in terms of 1/z)

Q5. For the function find the first three non-zero terms of the Laurent expansion at z = 0 and identify the type of singularity.

Q6. Find the residue of   at z = 1 using Laurent series.

Q7. Find the Laurent expansion of about z = 0 in the region 0 < |z| < 1.

Q8. Use the Laurent coefficient formula: to find the coefficient of the function in the annulus 0 < |z| < 2.

Q9. Expand in both regions:

a) 0 < |z| < 1

b) |z| > 1 and compare the series.

Q10. Using the Laurent expansion, evaluate the integral:  

7.0Applications of Laurent Series

  • Residue Calculation for contour integrals.
  • Classifying singularities (removable, pole, or essential).
  • Solving complex integrals using the Residue Theorem.
  • Representing functions with isolated singularities.

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