Probability density function and eulers constant

In summary, the conversation discusses a probability density function with variables D, E, A, B, and C. The question is raised about how to solve for eABC/2, which is a 5x1 matrix divided by 2. There is also discussion about the validity of matrix multiplication and the dimensions of matrices when multiplied together.
  • #1
mikedamike
28
0
Hi,

I have a probability density function defined by

1 / D x E . eABC/2

D is a single number
E is a determinant of a matrix
. is the dot product between the two sides of the function
e I am pretty sure is meant to be eulers constant
A is a 5x1 vector
B is a 5 x 5 matrix
C is a 5x1 vector

To my understanding eulers constant can only be raised to the power of a single number
My question is that how can the second half of the equation be solved if i require eABC/2 (which is effectivly a 5x1 matrix / 2)?

Can anyone help me with this ?

Thanks in advance
Regards
Mike
 
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  • #2
Your multiplication ABC makes no sense. If A is a 5x1-matrix and if BC is a 5x1 matrix, then there is no way to multiply those. Unless you're looking at some sort of dot-product.
 
  • #4
sorry ill make this more clear

A - This is a 5x1 matrix ( where A is actually the transpose of c)

B - this is a 5x5 matrix

c - this is a 5x1 matrix

This would mean axb = ab (5x1 )

ab X c = abc(5x1)
 
Last edited:
  • #5
You can't multiply a 5x1 matrix and a 5x5 matrix.

Do you mean that A is the transpose of C? That way, A would be a 1x5 matrix! (which would make sense)
 
  • #6
am i using the right convention ?

using MY description i have used [rows] x [columns]

BTW i do mean transpose ...sorry!
 
  • #7
As I stated in the other forum I interpret ABC to mean A.(BC).
 
  • #8
Sorry you are correct

it is

1x5 x 5x5 x 5x1

= 5x1

However this still mens i have a 5x1 /2

Also matrix exponential can only be done on square matrix ?
 
  • #9
No. A 1x5 times a 5x5 times a 5x1 will yield a 1x1 matrix.
 
  • #10
micromass said:
No. A 1x5 times a 5x5 times a 5x1 will yield a 1x1 matrix.
Side question : 1x5 times 5x5 matrix will be 1x5 matrix right ? Then 1x5 times 5x1 matrix can yield 1x1 because for a matrix to multiply , columns of first matrix must be equal to rows of second matrix , i.e. r2=c1.

Am I correct ?

@Mikedamike
sorry ill make this more clear

A - This is a 5x1 matrix ( where A is actually the transpose of c)

B - this is a 5x5 matrix

c - this is a 5x1 matrix

This would mean axb = ab (5x1 )

ab X c = abc(5x1)
ab will be 1x5 matrix and not 5x1. You cannot multiply 5x1 times 5x1 because for two matrices to multiply , rows of second matrix must be equal to columns of first matrix but 1 is not equal to 5.
 
Last edited:
  • #11
sankalpmittal said:
Side question : 1x5 times 5x5 matrix will be 1x5 matrix right ? Then 1x5 times 5x1 matrix can yield 1x1 because for a matrix to multiply , columns of first matrix must be equal to rows of second matrix , i.e. r2=c1.

Am I correct ?

Yes, that is correct.
 

1. What is a probability density function (PDF)?

A probability density function is a mathematical function that describes the likelihood of a continuous random variable taking on a specific value. It is used to represent the distribution of a random variable and can help determine the probability of different outcomes.

2. How is a PDF different from a probability mass function (PMF)?

A PDF is used for continuous random variables, while a PMF is used for discrete random variables. This means that a PDF can take on any value within a range, while a PMF only assigns probabilities to specific outcomes.

3. What is Euler's constant (e) and how is it related to probability?

Euler's constant, denoted by the letter "e", is a mathematical constant that is approximately equal to 2.71828. It is often used in probability calculations, particularly in the context of exponential growth and decay.

4. How is the area under a PDF curve related to probability?

The area under a PDF curve represents the probability of a random variable falling within a certain range of values. This area is always equal to 1, as the total probability of all possible outcomes must add up to 1.

5. Can a PDF be used to determine the probability of a specific outcome?

No, a PDF only provides the relative likelihood of different outcomes. To determine the probability of a specific outcome, you would need to calculate the area under the curve for a specific range of values.

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