Evaluate the integral of 2x exp(x²) from 0 to sqrt(ln 5).
Answer and explanation
4
Set u=x²; the limits become 0 and ln 5. The integral is exp(ln 5)−1=4.
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4
Set u=x²; the limits become 0 and ln 5. The integral is exp(ln 5)−1=4.
3
The antiderivative is −3/x. Its limit at infinity is 0, so the value is 0−(−3)=3.
The integral of x^(−3/2)
The exponent p=3/2 exceeds 1; the others have p≤1.
0.25
Integration by parts gives x² ln x/2−x²/4. Evaluation gives e²/4+1/4.
Each one-sided integral at zero diverges. Symmetric cancellation is a different limiting procedure, namely a principal value.
Award credit for separate endpoint limits, divergence, and distinguishing a principal value from ordinary improper convergence.
6
Use the lower limit ε>0: 2sqrt(9)−2sqrt(ε) tends to 6.
Substitution reverses a chain rule; integration by parts reverses a product rule.
UniversitySubstitution reverses a chain rule; integration by parts reverses a product rule.
UniversityDifferentiate before substituting. The value at zero can hide a nonzero product-rule term.
UniversityDifferentiate before substituting. The value at zero can hide a nonzero product-rule term.
UniversityConvergence requires k > 0. The upper limit is a limit, not a substitution of a finite number.
UniversityConvergence requires k > 0. The upper limit is a limit, not a substitution of a finite number.
UniversityHere n > −1. Treat x = 0 as an improper endpoint and use its limiting boundary term.
UniversityHere n > −1. Treat x = 0 as an improper endpoint and use its limiting boundary term.
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.