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  2. Parametric derivative - Wikipedia

    en.wikipedia.org/wiki/Parametric_derivative

    The first derivative implied by these parametric equations is = / / = ˙ ˙ (), where the notation ˙ denotes the derivative of x with respect to t. This can be derived using the chain rule for derivatives: d y d t = d y d x ⋅ d x d t {\displaystyle {\frac {dy}{dt}}={\frac {dy}{dx}}\cdot {\frac {dx}{dt}}} and dividing both sides by d x d t ...

  3. Second derivative - Wikipedia

    en.wikipedia.org/wiki/Second_derivative

    The second derivative of a function f can be used to determine the concavity of the graph of f. [2] A function whose second derivative is positive is said to be concave up (also referred to as convex), meaning that the tangent line near the point where it touches the function will lie below the graph of the function.

  4. Gauss–Codazzi equations - Wikipedia

    en.wikipedia.org/wiki/Gauss–Codazzi_equations

    In this context, the first equation, often called the Gauss equation (after its discoverer Carl Friedrich Gauss), says that the Gauss curvature of the surface, at any given point, is dictated by the derivatives of the Gauss map at that point, as encoded by the second fundamental form. [2] The second equation, called the Codazzi equation or ...

  5. Second fundamental form - Wikipedia

    en.wikipedia.org/wiki/Second_fundamental_form

    The second fundamental form of a parametric surface S in R 3 was introduced and studied by Gauss. First suppose that the surface is the graph of a twice continuously differentiable function, z = f(x,y), and that the plane z = 0 is tangent to the surface at the origin. Then f and its partial derivatives with respect to x and y vanish at (0,0).

  6. Symmetry of second derivatives - Wikipedia

    en.wikipedia.org/wiki/Symmetry_of_second_derivatives

    However, if the iterated integral of a continuous function function F vanishes for all rectangles, then F must be identically zero; for otherwise F or −F would be strictly positive at some point and therefore by continuity on a rectangle, which is not possible. Hence f yx − f xy must vanish identically, so that f yx = f xy everywhere. [29 ...

  7. Notation for differentiation - Wikipedia

    en.wikipedia.org/wiki/Notation_for_differentiation

    for the nth derivative. When f is a function of several variables, it is common to use "∂", a stylized cursive lower-case d, rather than "D". As above, the subscripts denote the derivatives that are being taken. For example, the second partial derivatives of a function f(x, y) are: [6]

  8. Weierstrass elliptic function - Wikipedia

    en.wikipedia.org/wiki/Weierstrass_elliptic_function

    A cubic of the form , = {(,): =}, where , are complex numbers with , cannot be rationally parameterized. [1] Yet one still wants to find a way to parameterize it. For the quadric = {(,): + =}; the unit circle, there exists a (non-rational) parameterization using the sine function and its derivative the cosine function: : /, (⁡, ⁡).

  9. General Leibniz rule - Wikipedia

    en.wikipedia.org/wiki/General_Leibniz_rule

    The proof of the general Leibniz rule [2]: 68–69 proceeds by induction. Let f {\displaystyle f} and g {\displaystyle g} be n {\displaystyle n} -times differentiable functions. The base case when n = 1 {\displaystyle n=1} claims that: ( f g ) ′ = f ′ g + f g ′ , {\displaystyle (fg)'=f'g+fg',} which is the usual product rule and is known ...