Verify the Cauchy-Riemann equations for f(z)=z².
Answer and explanation
u=x²−y² and v=2xy. Then u_x=2x=v_y and u_y=−2y=−v_x.
Credit both equations and smoothness of the partials.
Subjects
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u=x²−y² and v=2xy. Then u_x=2x=v_y and u_y=−2y=−v_x.
Credit both equations and smoothness of the partials.
12
f′(z)=3z², so f′(2)=12.
No
For u=x,v=−y, u_x=1 but v_y=−1, so the Cauchy-Riemann equations fail.
Along real h, conjugate(h)/h=1; along imaginary h, the quotient is −1. The limits disagree.
Credit two directions with distinct limiting quotients.
A holomorphic function
Complex power series can be differentiated termwise inside their convergence disk.
2
f′(z)=2z, hence 2i.
A derivative must have the same limit along every complex direction.
Advanced universityA derivative must have the same limit along every complex direction.
Advanced universityThe coefficient of (z−a)^(−1) in the Laurent expansion is the residue.
Advanced universityThe coefficient of (z−a)^(−1) in the Laurent expansion is the residue.
Advanced universityThe numerator is analytic near a and the pole is simple.
Advanced universityThe numerator is analytic near a and the pole is simple.
Advanced universityDifferentiate the analytic numerator once; its value p(a) is not the residue for a double pole.
Advanced universityDifferentiate the analytic numerator once; its value p(a) is not the residue for a double pole.
Advanced universityPractise improper integrals, series, gradients and multiple integrals, with explicit conditions and worked examples.
Develop matrix, vector-space and projection reasoning before using least squares.
Connect initial conditions, linear differential equations and numerical approximation with error and conditioning.
Work with conditional probability, normalization, densities and expectation.
Build epsilon proofs and distinguish pointwise convergence, uniform convergence and compactness.
Study groups, vector-space quotients and proof techniques with carefully scoped definitions.
Study complex analysis, residues, Fourier series, PDE boundary conditions and convexity through focused lessons.
Learn descriptive statistics, probability, sampling and inference with worked reasoning.