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Mathematical analysis

 

Here is a list of 100 command prompts for performing mathematical analysis, categorized by its major branches. These prompts are framed as tasks or instructions for a mathematician, data scientist, or computational software.

1. Real Analysis: Foundations

  1. Prove that the set [S] is countable or uncountable.

  2. Find the supremum, infimum, min, and max of the set [S].

  3. Prove the [Completeness/Archimedean] property for the real numbers.

  4. Analyze the convergence of the sequence [a_n = formula].

  5. Find the limit of the sequence [a_n] as n approaches infinity.

  6. Prove that the sequence [a_n] is a Cauchy sequence.

  7. Determine if the series [Σ a_n] converges or diverges using the [Ratio/Root/Comparison] Test.

  8. Test the series [Σ a_n] for absolute and conditional convergence.

  9. Find the radius and interval of convergence for the power series [Σ c_n * (x-a)^n].

  10. Find the limit of the function [f(x)] as x approaches [a] using an (ε, δ) proof.

  11. Prove that the function [f(x)] is continuous at the point [x=a].

  12. Determine if the function [f(x)] is uniformly continuous on the interval [I].

  13. Apply the Intermediate Value Theorem to show a root exists for [f(x)] on [a, b].

  14. Apply the Extreme Value Theorem to find the global extrema of [f(x)] on [a, b].

2. Differential Calculus

  1. Find the first and second derivatives of the function [f(x)].

  2. Calculate the derivative of [f(x)] from the limit definition.

  3. Find the equation of the tangent line and normal line to [y=f(x)] at [x=a].

  4. Apply the [Product/Quotient/Chain] Rule to differentiate [function].

  5. Perform implicit differentiation for the equation [F(x, y) = 0].

  6. Find all critical points of the function [f(x)].

  7. Determine the intervals where [f(x)] is increasing or decreasing.

  8. Classify the local extrema of [f(x)] using the [First/Second] Derivative Test.

  9. Analyze the concavity and find all inflection points of [f(x)].

  10. Apply L'Hôpital's Rule to evaluate the limit of [f(x)/g(x)].

  11. Find the [Nth] degree Taylor polynomial for [f(x)] centered at [x=a].

  12. Calculate the error (remainder) for the Taylor approximation of [f(x)].

3. Integral Calculus

  1. Calculate the indefinite integral of [f(x)] dx.

  2. Evaluate the definite integral of [f(x)] from [a] to [b].

  3. Apply the Fundamental Theorem of Calculus to evaluate [integral].

  4. Use the method of integration by parts to evaluate [integral].

  5. Use trigonometric substitution to evaluate [integral].

  6. Use partial fraction decomposition to evaluate [integral].

  7. Determine if the improper integral [integral] converges or diverges, and evaluate if possible.

  8. Calculate the area of the region bounded by [y=f(x)] and [y=g(x)].

  9. Calculate the volume of the solid generated by rotating the region [R] around the [x-axis/y-axis].

  10. Calculate the arc length of the curve [y=f(x)] from [a] to [b].

4. Multivariable & Vector Calculus

  1. Calculate the partial derivatives (∂f/∂x, ∂f/∂y) for the function [f(x, y)].

  2. Find the gradient vector (∇f) for the function [f(x, y, z)].

  3. Find the directional derivative of [f(x, y)] at point [P] in the direction of vector [v].

  4. Find the equation of the tangent plane to the surface [z=f(x, y)] at the point [P].

  5. Find and classify all critical points (local min/max, saddle) of the function [f(x, y)].

  6. Use the method of Lagrange multipliers to find the extrema of [f(x, y)] subject to the constraint [g(x, y) = c].

  7. Evaluate the double integral of [f(x, y)] over the rectangular region [R].

  8. Change the order of integration for the double integral [integral].

  9. Convert the double integral to polar coordinates and evaluate.

  10. Evaluate the triple integral of [f(x, y, z)] over the volume [V].

  11. Convert the triple integral to [cylindrical/spherical] coordinates and evaluate.

  12. Calculate the Jacobian of the transformation [T(u, v) = (x(u, v), y(u, v))].

  13. Evaluate the line integral of [f(x, y)] along the curve [C] parameterized by [r(t)].

  14. Calculate the curl and divergence of the vector field [F].

  15. Determine if the vector field [F] is conservative.

  16. Find the potential function for the conservative vector field [F].

  17. Use Green's Theorem to evaluate the line integral [integral] over the closed curve [C].

  18. Use Stokes' Theorem to evaluate the curl integral over the surface [S].

  19. Use the Divergence Theorem to evaluate the flux integral over the closed surface [S].

5. Complex Analysis

  1. Express the complex number [z] in [polar/Euler's] form.

  2. Verify the Cauchy-Riemann equations for the function [f(z)] at [z_0].

  3. Determine all points where the function [f(z)] is analytic.

  4. Evaluate the complex line integral of [f(z)] over the contour [C].

  5. Apply Cauchy's Integral Theorem to evaluate the integral of [f(z)] over [C].

  6. Apply Cauchy's Integral Formula to evaluate the integral of [f(z)/(z-z_0)^n] over [C].

  7. Find the Taylor series expansion for [f(z)] centered at [z_0].

  8. Find the Laurent series expansion for [f(z)] in the annulus [R1 < |z-z_0| < R2].

  9. Identify and classify all singularities (removable, pole, essential) of the function [f(z)].

  10. Calculate the residues of [f(z)] at all its isolated singularities.

  11. Use the Residue Theorem to evaluate the contour integral of [f(z)].

6. Differential Equations (ODEs & PDEs)

  1. Classify the differential equation (order, linearity, homogeneity).

  2. Solve the separable first-order ODE [y' = f(x)g(y)].

  3. Solve the linear first-order ODE [y' + p(x)y = q(x)] using an integrating factor.

  4. Find the general solution to the homogeneous second-order linear ODE [ay'' + by' + cy = 0].

  5. Find the particular solution to the non-homogeneous ODE using [undetermined coefficients/variation of parameters].

  6. Solve the initial value problem (IVP) for the given ODE and initial conditions.

  7. Find the equilibrium solutions for the autonomous ODE [y' = f(y)] and analyze their stability.

  8. Draw the phase portrait for the 2D linear system [x' = Ax].

  9. Use the method of separation of variables to solve the [Heat/Wave/Laplace's] equation.

  10. Solve the [PDE] subject to the given [Dirichlet/Neumann] boundary conditions.

7. Fourier Analysis & Transforms

  1. Find the Fourier series representation of the periodic function [f(x)] on the interval [-L, L].

  2. Analyze the convergence of the Fourier series and describe the Gibbs phenomenon.

  3. Find the complex Fourier series for the function [f(x)].

  4. Calculate the Fourier transform of the function [f(t)].

  5. Calculate the inverse Fourier transform of [F(ω)].

  6. Apply the convolution theorem to find the transform of [f(t) * g(t)].

  7. Calculate the Laplace transform of the function [f(t)].

  8. Use the Laplace transform to solve the ODE [IVP].

8. Functional Analysis & Linear Algebra

  1. Prove that the set [V] with the given operations forms a vector space.

  2. Find the basis and dimension of the vector space [V] spanned by [vectors].

  3. Prove that [||.||] is a norm on the vector space [V].

  4. Prove that [d(x, y)] is a metric on the set [M].

  5. Determine if the metric space [M, d] is complete (i.e., a Banach space).

  6. Prove that [<.,.>] defines an inner product on the space [H].

  7. Determine if the inner product space [H] is a Hilbert space.

  8. Apply the Gram-Schmidt process to find an orthonormal basis for [subspace].

  9. Find the norm of the linear operator [T: V -> W].

  10. Find the kernel (null space) and image (range) of the linear operator [T].

  11. Find all eigenvalues and eigenvectors (or eigenspaces) of the operator [T].

9. Numerical Analysis

  1. Apply the Bisection method to find a root of [f(x)=0] on the interval [a, b].

  2. Apply Newton's method to find a root of [f(x)=0] starting at [x_0].

  3. Find the Lagrange interpolating polynomial for the data points [points].

  4. Use the [Trapezoidal/Simpson's] rule to numerically approximate the integral of [f(x)] from [a] to [b].

  5. Use [Euler's method/Runge-Kutta method] to numerically solve the ODE [y' = f(x, y)] with initial condition [y(x_0) = y_0].

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