Search results
Results from the WOW.Com Content Network
In triangle geometry, the Bernoulli quadrisection problem asks how to divide a given triangle into four equal-area pieces by two perpendicular lines. Its solution by Jacob Bernoulli was published in 1687. [1] [2] Leonhard Euler formulated a complete solution in 1779. [1] [3]
The earliest solution, however, was offered by Gottfried Leibniz, who published his result in the same year and whose method is the one still used today. [5] Bernoulli equations are special because they are nonlinear differential equations with known exact solutions.
Can be reduced to a Bernoulli differential equation; a general case of the Jacobi equation [11] Elliptic function: 1 ′ = () Equation for which the elliptic functions are solutions [12] Euler's differential equation: 1
The Bernoulli distribution is a special case of the binomial distribution with = [4] The kurtosis goes to infinity for high and low values of p , {\displaystyle p,} but for p = 1 / 2 {\displaystyle p=1/2} the two-point distributions including the Bernoulli distribution have a lower excess kurtosis , namely −2, than any other probability ...
Bernoulli was very proud of this result, referring to it as his "golden theorem", [25] and remarked that it was "a problem in which I've engaged myself for twenty years". [26] This early version of the law is known today as either Bernoulli's theorem or the weak law of large numbers, as it is less rigorous and general than the modern version.
Download as PDF; Printable version; In other projects ... move to sidebar hide. Bernoulli equation may refer to: Bernoulli differential equation ; Bernoulli's ...
Bernoulli also studied the exponential series which came out of examining compound interest. In May 1690, in a paper published in Acta Eruditorum, Jacob Bernoulli showed that the problem of determining the isochrone is equivalent to solving a first-order nonlinear differential equation. The isochrone, or curve of constant descent, is the curve ...
Graphs of probability P of not observing independent events each of probability p after n Bernoulli trials vs np for various p.Three examples are shown: Blue curve: Throwing a 6-sided die 6 times gives a 33.5% chance that 6 (or any other given number) never turns up; it can be observed that as n increases, the probability of a 1/n-chance event never appearing after n tries rapidly converges to 0.