What is the p.d.f. of the sum of two normal distributions?

  • Thread starter Thread starter thesandbox
  • Start date Start date
thesandbox
Messages
10
Reaction score
0

Homework Statement



X1 ∼ N(μ112) and X2 ∼ N(μ222)

Let Y = X1 + X2

Find the p.d.f. of Y & label the distribution.

Homework Equations





The Attempt at a Solution



Not quite sure how to go about this problem.

µY=E[Y]=E[X1+X2]=E[X1]+E[X2]=µ12

σY2=E[Y2] - µY2

E[X12+ 2X1X2 +X22] - (µ12)2

I think that might be how you start it. Feel free to correct me and start over or continue. Thanks.
 
Physics news on Phys.org
It's kind of hard to make suggestions without knowing more about what you know. What do you know about sums of random variables?
 
thesandbox said:

Homework Statement



X1 ∼ N(μ112) and X2 ∼ N(μ222)

Let Y = X1 + X2

Find the p.d.f. of Y & label the distribution.

Homework Equations





The Attempt at a Solution



Not quite sure how to go about this problem.

µY=E[Y]=E[X1+X2]=E[X1]+E[X2]=µ12

σY2=E[Y2] - µY2

E[X12+ 2X1X2 +X22] - (µ12)2

I think that might be how you start it. Feel free to correct me and start over or continue. Thanks.


Figured it out. The above doesn't account for all moments (rth)

MX1 + X2 = MX1(t)⋅MX2(t)

MXi=e\muit + (1/2)σi2t2

Following N~(\mu1 + \mu2 , σ12 + σ22)
 
Last edited:
Thread 'Use greedy vertex coloring algorithm to prove the upper bound of χ'
Hi! I am struggling with the exercise I mentioned under "Homework statement". The exercise is about a specific "greedy vertex coloring algorithm". One definition (which matches what my book uses) can be found here: https://people.cs.uchicago.edu/~laci/HANDOUTS/greedycoloring.pdf Here is also a screenshot of the relevant parts of the linked PDF, i.e. the def. of the algorithm: Sadly I don't have much to show as far as a solution attempt goes, as I am stuck on how to proceed. I thought...
Back
Top