
Theorem
121: 
Jacobian formula 1 (nonnegative case) 

Theorem
122: 
Jacobian formula 2 (L1 case) 

Theorem
123: 
Reduced normal (gaussian) density 

Theorem 124: 
Fourier tramsform of reduced normal distribution 

Theorem 125: 
Absolute continuity of convolution 

Theorem
126: 
Uniqueness of narrow limit of complex measures 

Theorem
127: 
Narrow continuity of convolution 

Theorem
128: 
Injectivity of fourier transform 

Theorem
129: 
Characterictic function determines distribution 

Theorem 130: 
Moments of measure from fourier transform 

Theorem 131: 
Diagonalisation of symmetric nonnegative matrix 

Theorem 132: 
Fourier transform of gaussian measure 

Theorem
133: 
Gaussian measure has moments of all order 

Theorem
134: 
Mean and covariance of gaussian measure 

Theorem
135: 
Characteristic function of gaussian vector 

Theorem
136: 
Mean and covariance of gaussian vector 

Theorem
137: 
Characteristic function of normal random variable 

Theorem 138: 
Linear transformation of gaussian vector is gaussian 

Theorem 139: 
Gaussian vector criterion in terms of coordinates 

Theorem
140: 
Density of gaussian measure 


