Chapter 14: Problem 9
Find the Laurent series for the following functions about the indicated
points; hence find the residue of the function at the point. (Be sure you have
the Laurent series which converges near the point.)
Short Answer
Expert verified
The residue at z=2 is -1.
Step by step solution
01
Factor the Denominator
First, factor the denominator of the given function: This can be factored as:
02
Decompose into Partial Fractions
Decompose the fraction into partial fractions: Solve for A and B: By substituting suitable values for z, we find: For : For :
03
Write the Partial Fractions
Write the function in terms of the partial fractions:
04
Find the Laurent Series About z=2
To express as a Laurent series that converges near , rewrite it as: Thus, the Laurent series becomes:
05
Identifying the Residue
The residue at is the coefficient of in the Laurent series, which is:
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Key Concepts
These are the key concepts you need to understand to accurately answer the question.
residue
In complex analysis, the residue of a function at a particular point is a key concept when dealing with Laurent series. A residue gives us crucial information about the behavior of a function near a singularity.
When you expand a function into a Laurent series, it takes the form: ote{f(z) = \frac{a_{-1}}{(z - z_0)} + \frac{a_{-2}}{(z - z_0)^2} + ... + a_0 + a_1(z - z_0) + ... } The coefficient is called the residue of the function at .
In our solution, we determined that the residue at is , derived from the term in the Laurent series.
Understanding residues helps in evaluating complex integrals and in describing the nature of singularities.
When you expand a function into a Laurent series, it takes the form: ote{f(z) = \frac{a_{-1}}{(z - z_0)} + \frac{a_{-2}}{(z - z_0)^2} + ... + a_0 + a_1(z - z_0) + ... } The coefficient
In our solution, we determined that the residue at
Understanding residues helps in evaluating complex integrals and in describing the nature of singularities.
partial fractions
Partial fractions are a way to break down more complex rational functions into simpler ones that are easier to integrate or expand.
For the function , we factored the denominator to .
We then decomposed this into: .
Solving for and involved substituting specific values for to form simple equations. This yielded: as . These simpler fractions pave the way to finding the Laurent series.
For the function
We then decomposed this into:
Solving for
when when
complex analysis
Complex analysis, the study of functions that operate on complex numbers, provides essential tools for many areas of mathematics and engineering. It deals with complex functions and their properties, including convergence, differentiation, and integration.
One critical component of complex analysis is the Laurent series, an expansion that includes both positive and negative powers of . This is particularly useful for functions with singularities. In our exercise, we utilized the Laurent series to understand the behavior of around .
We started with partial fraction decomposition and then proceeded by rewriting as a series expansion around . This approach, rooted in complex analysis, gave us insight into the function's behavior near that point, enabling us to identify the residue at the singularity.
One critical component of complex analysis is the Laurent series, an expansion that includes both positive and negative powers of
We started with partial fraction decomposition and then proceeded by rewriting
convergence
Convergence is a fundamental concept when dealing with series in mathematics. A series is said to converge if its sum approaches a finite limit as the number of terms increases.
For Laurent series, convergence determines how close or far from the singularity the series accurately represents the function.
In our solution, we focused on finding the Laurent series that converges around .
We started by expressing the function in terms of partial fractions and then expanded as a series around .
This involved the geometric series expansion, ensuring that the series converges in the annulus where .
Proper convergence is crucial to ensuring accurate representations, allowing us to effectively use Laurent series to analyze complex functions.
For Laurent series, convergence determines how close or far from the singularity the series accurately represents the function.
In our solution, we focused on finding the Laurent series that converges around
We started by expressing the function in terms of partial fractions and then expanded
This involved the geometric series expansion, ensuring that the series converges in the annulus where
Proper convergence is crucial to ensuring accurate representations, allowing us to effectively use Laurent series to analyze complex functions.