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Question-209030




Question Number 209030 by Spillover last updated on 30/Jun/24
Answered by aleks041103 last updated on 30/Jun/24
moment generating function is  m(t)=Σ_(k=0) ^∞ (m_k /(k!))t^k =m_0 +m_1 t+...  where m_k =∫_(−∞) ^∞  x^k f(x)dx are the moments  of the prob. density function f(x).  ⇒m(t)=(t/(1−t))=0+t+t^2 +t^3 +...=  =m_0 +m_1 t+...  ⇒m_0 =0  but this is impossible, since  m_0 =∫f(x)dx=1  for any PDF f(x).
momentgeneratingfunctionism(t)=k=0mkk!tk=m0+m1t+wheremk=xkf(x)dxarethemomentsoftheprob.densityfunctionf(x).m(t)=t1t=0+t+t2+t3+==m0+m1t+m0=0butthisisimpossible,sincem0=f(x)dx=1foranyPDFf(x).
Answered by Spillover last updated on 04/Jul/24
since  m(t)=(t/(1−t))  is not defined for the t=1  this implies that there is no probability distribution  associated with this moment generating function
sincem(t)=t1tisnotdefinedforthet=1thisimpliesthatthereisnoprobabilitydistributionassociatedwiththismomentgeneratingfunction
Commented by aleks041103 last updated on 04/Jul/24
may be.  by definition  m(t)=E[e^(xt) ]  m(0)=E[e^(x.0) ]=E[1]=1≠(0/(1−0))=0  but  m(1)=E[e^x ]  if this doesn′t exist then  ∫_(−∞) ^(+∞) e^x f(x)dx doesn′t converge.  This implies almost nothing or at least I  don′t see how this proves that f doesn′t exist.  For example f(x)=(1/2)e^(−x/2) H(x), where   H(x)=1 for x≥0 and H(x)=0 for x<0.  This is a pdf, since it is locally integrable  and obv. ∫_(−∞) ^∞ f(x)dx=∫_0 ^∞ e^(−(x/2)) d(x/2)=1  but ∫_(−∞) ^∞ e^x f(x)dx=∫_0 ^∞ e^((x/2)) d(x/2), which  diverges.
maybe.bydefinitionm(t)=E[ext]m(0)=E[ex.0]=E[1]=1010=0butm(1)=E[ex]ifthisdoesntexistthen+exf(x)dxdoesntconverge.ThisimpliesalmostnothingoratleastIdontseehowthisprovesthatfdoesntexist.Forexamplef(x)=12ex/2H(x),whereH(x)=1forx0andH(x)=0forx<0.Thisisapdf,sinceitislocallyintegrableandobv.f(x)dx=0e(x/2)d(x/2)=1butexf(x)dx=0e(x/2)d(x/2),whichdiverges.
Commented by Spillover last updated on 05/Jul/24
thank you for clarification
thankyouforclarification

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