Let \( lpha = 1 + i \), \( eta = 1 - i \). Then at \( u = lpha \):

Let \( lpha = 1 + i \), \( eta = 1 - i \). Then at \( u = lpha \):

["Let ( \alpha = 1 + i ) and ( \beta = 1 - i ). Analyzing functions at ( u = \alpha ), particularly evaluating expressions involving ( f(u) = \frac{1}{u - \alpha} ), reveals key insights in complex analysis.", "---", "### Understanding ( \alpha = 1 + i ), ( \beta = 1 - i )", "We are given two complex numbers:\n[\n\alpha = 1 + i, \quad \beta = 1 - i\n]\nNote that ( \alpha ) and ( \beta ) are complex conjugates. Their real parts are equal ((1)), while imaginary parts are opposites. This symmetry plays a crucial role in many complex expressions.", "---", "### Evaluating ( f(u) = \frac{1}{u - \alpha} ) at ( u = \alpha )", "Consider the function:\n[\nf(u) = \frac{1}{u - \alpha}\n]\nAt ( u = \alpha ):\n[\nf(\alpha) = \frac{1}{\alpha - \alpha} = \frac{1}{0}\n]\nThis expression is undefined—instead, ( f(u) ) has a simple pole at ( u = \alpha ). Thus, examining limits near ( u = \alpha ) illuminates behavior in complex analysis.", "---", "### Behavior Near ( u = \alpha ): One-Sided Limits", "#### Limit as ( u \ o \alpha ) from the right (or left) in the complex plane", "We separately consider approaching ( \alpha = 1 + i ) along paths ( u = 1 + it ) and ( u = 1 - it ), reflecting ( \alpha )'s conjugate structure.", "Case 1: ( u = 1 + it ), ( t \in \mathbb{R} ), ( t <br/>\ne 0 )\nThen:\n[\nu - \alpha = (1 + it) - (1 + i) = i(t - 1)\n]\nSo,\n[\nf(u) = \frac{1}{i(t - 1)} = -\frac{i}{t - 1}\n]\nWhich grows purely imaginary — diverges along the imaginary axis.", "Case 2: ( u = 1 - it ), approaching from the conjugate path\n[\nu - \alpha = (1 - it) - (1 + i) = -i(t + 1)\n]\nThen:\n[\nf(u) = \frac{1}{-i(t + 1)} = \frac{i}{t + 1}\n]\nSimilarly diverges, but in the opposite imaginary direction.", "---", "### Key Insight: Residue and Residue at the Pole", "Even though ( f(u) ) is undefined at ( u = \alpha ), we can discuss the residue — a fundamental concept in complex integration. The residue of ( f(u) = \frac{1}{u - \alpha} ) at ( u = \alpha ) is simply ( 1 ), since the function has a simple pole with numerator 1.", "> The coefficient of ( \frac{1}{u - \alpha} ) in the Laurent expansion about ( \alpha ) is:\n[\n\boxed{1}\n]\nThis residue governs integral evaluations around the pole via the residue theorem.", "---", "### Conclusion: Complex Symmetry and Analytic Behavior", "The conjugate pair ( \alpha ) and ( \beta ) leads to symmetric yet conjugate behaviors when analyzing functions like ( \frac{1}{u - \alpha} ). At ( u = \alpha ), the function diverges, but the residue reveals deep structural properties essential for complex analysis and contour integration.", "Understanding such poles — their location, symmetry, and impact on function behavior — is vital for applying Laplace transforms, solving PDEs, and analyzing signals in engineering and physics.", "---", "### Keywords\nLet ( \alpha = 1 + i ), ( \beta = 1 - i ), ( f(u) = \frac{1}{u - \alpha} ), complex analysis, poles, residue theorem, singularities, one-sided limits, ( u = \alpha ), Laurent series", "---", "This structured exploration of ( \alpha = 1 + i ) and ( \beta = 1 - i ), with focus on ( u = \alpha ), underscores foundational principles linking algebra, geometry, and analysis in complex functions."]

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