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  2. Natural logarithm - Wikipedia

    en.wikipedia.org/wiki/Natural_logarithm

    The natural logarithm of x is generally written as ln x, log e x, or sometimes, if the base e is implicit, simply log x. [2] [3] Parentheses are sometimes added for clarity, giving ln(x), log e (x), or log(x). This is done particularly when the argument to the logarithm is not a single symbol, so as to prevent ambiguity.

  3. Taylor series - Wikipedia

    en.wikipedia.org/wiki/Taylor_series

    The Taylor polynomials for ln(1 + x) only provide accurate approximations in the range −1 < x1. For x > 1, Taylor polynomials of higher degree provide worse approximations. The Taylor approximations for ln(1 + x) (black). For x > 1, the approximations diverge. Pictured is an accurate approximation of sin x around the point x = 0. The ...

  4. List of logarithmic identities - Wikipedia

    en.wikipedia.org/wiki/List_of_logarithmic_identities

    ln(r) is the standard natural logarithm of the real number r. Arg(z) is the principal value of the arg function; its value is restricted to (−π, π]. It can be computed using Arg(x + iy) = atan2(y, x). Log(z) is the principal value of the complex logarithm function and has imaginary part in the range (−π, π].

  5. Logarithm - Wikipedia

    en.wikipedia.org/wiki/Logarithm

    As an integral, ln(t) equals the area between the x-axis and the graph of the function 1/x, ranging from x = 1 to x = t. This is a consequence of the fundamental theorem of calculus and the fact that the derivative of ln(x) is 1/x. Product and power logarithm formulas can be derived from this definition. [41]

  6. Prime number theorem - Wikipedia

    en.wikipedia.org/wiki/Prime_number_theorem

    for all x > 1. Suppose now that ζ(1 + iy) = 0. Certainly y is not zero, since ζ(s) has a simple pole at s = 1. Suppose that x > 1 and let x tend to 1 from above. Since () has a simple pole at s = 1 and ζ(x + 2iy) stays analytic, the left hand side in the previous inequality tends to 0, a contradiction.

  7. Log-normal distribution - Wikipedia

    en.wikipedia.org/wiki/Log-normal_distribution

    A probability distribution is not uniquely determined by the moments E[X n] = e nμ + ⁠ 1 / 2 ⁠ n 2 σ 2 for n ≥ 1. That is, there exist other distributions with the same set of moments. [4] In fact, there is a whole family of distributions with the same moments as the log-normal distribution. [citation needed]

  8. Digamma function - Wikipedia

    en.wikipedia.org/wiki/Digamma_function

    As x goes to infinity, ψ(x) gets arbitrarily close to both ln(x − ⁠ 1 / 2 ⁠) and ln x. Going down from x + 1 to x, ψ decreases by ⁠ 1 / x ⁠, ln(x − ⁠ 1 / 2 ⁠) decreases by ln(x + ⁠ 1 / 2 ⁠) / (x − ⁠ 1 / 2 ⁠), which is more than ⁠ 1 / x ⁠, and ln x decreases by ln(1 + ⁠ 1 / x ⁠), which is less than ⁠ 1 / x ...

  9. Logarithmic integral function - Wikipedia

    en.wikipedia.org/wiki/Logarithmic_integral_function

    Here, ln denotes the natural logarithm. ... The function li(x) has a single positive zero; it occurs at x1.45136 92348 83381 05028 39684 85892 02744 94930 ...