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The gauss is the unit of magnetic flux density B in the system of Gaussian units and is equal to Mx/cm 2 or g/Bi/s 2, while the oersted is the unit of H-field. One tesla (T) corresponds to 10 4 gauss, and one ampere (A) per metre corresponds to 4π × 10 −3 oersted.
In probability theory and statistics, a normal distribution or Gaussian distribution is a type of continuous probability distribution for a real-valued random variable.The general form of its probability density function is [2] [3] = ().
[1] [2] Information theory , developed by Claude E. Shannon in 1948, defines the notion of channel capacity and provides a mathematical model by which it may be computed. The key result states that the capacity of the channel, as defined above, is given by the maximum of the mutual information between the input and output of the channel, where ...
10 −2 T centitesla 10 mT: 100 G: 30 mT: 300 G: Penny-sized ferrite magnet: 10 −1 T: decitesla: 100 mT: 1 kG: Penny-sized neodymium magnet: 150 mT: 1.5 kG: Sunspot: 10 0 T tesla 1 T: 10 kG: Inside the core of a 60 Hz power transformer (1 T to 2 T as of 2001) [10] [11] or voice coil gap of a loudspeaker magnet (1 T to 2.4 T as of 2006) [12] 1 ...
Thus, an object's charge can be exactly 0 e, or exactly 1 e, −1 e, 2 e, etc., but not 1 / 2 e, or −3.8 e, etc. (There may be exceptions to this statement, depending on how "object" is defined; see below.) This is the reason for the terminology "elementary charge": it is meant to imply that it is an indivisible unit of charge.
[1] An erg is the amount of work done by a force of one dyne exerted for a distance of one centimetre. In the CGS base units, it is equal to one gram centimetre-squared per second-squared (g⋅cm 2 /s 2). It is thus equal to 10 −7 joules or 100 nanojoules in SI units. 1 erg = 10 −7 J = 100 nJ
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The second cumulant is =, the factor 2 comes from the factorial factor in the denominator of the cumulant generating function. From this, the second moment is calculated, μ 2 = κ 2 + μ 1 2 = 2 D t + x 0 2 . {\displaystyle \mu _{2}=\kappa _{2}+\mu _{1}^{2}=2Dt+x_{0}^{2}.}