From a generic form to a PDF whose CDF approaches 1
f(x)=ae−2c2(x−b)2→g(x)=σ2π1e−21(σx−μ)2
Quick Proof of Bayes Theorem
Partition the possibility space into four sections much like Punnet squares.
P(A∩B)=P(A)P(B∣A)=P(B)P(A∣B)
Solve for the conditional probability
The null space is the set of vectors which makes the output homogenous. See .
Multivariate calculus is the extension of of univariate calculus, which studies mappings f:R→R to more generic g:Rn→Rm; relating a vector, x of some lengthn to some other vector yof length mby multiplication with some some rectangular matrix of dimensions, m×n.
For the generic example, the initial configuration is some smooth closed volume in R3; represented as a collection of position vectors, r. Equivalent representation is by summation of unit vectors in each of the cartesian directions:
r=i=1∑3xiei=x1e1+x2e2+x3e3=xiei in indicial notation.
Then in the R3 case, we see:
y1y2y3=1+x1u10001+x2u20001+x3u3x1x2x3=x1+u1x2+u2x3+u3solid mechanics example, see the identity matrix?.