University of Alberta Guide/STAT/222/Combining Continuous Random Variables

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Convolution

  • fX+Y(z)=fX(yz)fY(z)δz=fX(z)fY(yz)δz

Example

fX(x)={3x22x[1,1]0elsefY(y)={y9y[4,5]0elseX and Y are independent RVs, find fX+Y(z)

  • Start by converting the pdf's to indicator functions
    • fX(x)=3x221[1,1](x)fY(y)=y91[4,5](y)
      • Now fX(x) is defined only when x[1,1] and fY(y) is defined only when y[4,5]
  • Use the convolution formula above to write out the integral
    • fX(z)fY(yz)δz=3z221[1,1](z)yz91[4,5](yz)δz
  • Factor out any constants, in this case, a multiplier
    • 318z21[1,1](z)(yz)1[4,5](yz)δz=16z21[1,1](z)(yz)1[4,5](yz)δz
  • Factor out the indicator function for (z) into the integral bounds
    • 1611z2(yz)1[4,5](yz)δz
      • Note that 4yz5,( try to isolate z)4yz5yy5zy4
  • Now that have isolated the indicator for z, we can combine the entire integral for that indicator
    • 1611(z2(yz))1[y5,y4](z)δz=1611(z2yz3)1[y5,y4](z)δz
  • Finally, split the integral into the separate cases based on the remaining indicator function
    • fX+Y(z)=16{0y<31y4(z2yz3)δz3y<4y5y4(z2yz3)δz4y<5y51(z2yz3)δz5y<60y6={02554+43z+z4128z23694122z3+9z2215683zz412+25z220
      • When y<3 the integral has no bounds since (y<3)4<1 so the upper bound would be less than 1 which would be 0.
      • When 3y<4 the integral is bound between 1 and y4since y4 will be at least 1 but less than 0
      • As you can see there is a pattern here, it goes as follows:
        • Given ab()1[c,d]δz you will have {y<(da=0)(da=0)y<(ca=0)(ca=0)y<(db=0)(db=0)y<(cb=0)y(cb=0)

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