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11 years, 278 days

Social Networks and Content at Maplesoft.com

Seldom to ask question after retired math hobby Just waiting for beauty who born in 1994 And waited for her email to mavio@protonmail.com What is the difference in ownership among different universe?

https://skydrive.live.com/redir?resid=E0...

https://skydrive.live.com/redir?resid=E0ED7271C68BE47C!293
https://skydrive.live.com/redir?resid=E0ED7271C68BE47C!292

here it is,

once you got it, tell me, i will delete it after you got it.

i think this because chapter 3 page 86 ...

i think this because chapter 3 page 86

3.2.1 said  z-transform of this network can be written as

rational function (3.1)

i think this because chapter 3 page 86 ...

i think this because chapter 3 page 86

3.2.1 said  z-transform of this network can be written as

rational function (3.1)

the general case result (2) still has zt...

the general case result (2) still has ztrans, it should be a simple rational function

the general case result (2) still has zt...

the general case result (2) still has ztrans, it should be a simple rational function

if it is impossible, how arthur derive t...

if it is impossible, how Author derive this? need transformation?

i see that they are quite similar, like just need a few more steps, then success

can it be manually done by observation using below script

restart;
n := 1:
rodrigues := exp(x)*(x^alpha)/n!*diff(exp(-x)*(x^(n+alpha)), x\$n):
rodrigues := subs(x=2*p, rodrigues):
rodrigues := subs(alpha=1/2, rodrigues):
rodrigues1 := factor(simplify(rodrigues));
n := 2:
rodrigues := exp(x)*(x^alpha)/n!*diff(exp(-x)*(x^(n+alpha)), x\$n):
rodrigues := subs(x=2*p, rodrigues):
rodrigues := subs(alpha=1/2, rodrigues):
rodrigues2 := factor(simplify(rodrigues));
n := 3:
rodrigues := exp(x)*(x^alpha)/n!*diff(exp(-x)*(x^(n+alpha)), x\$n):
rodrigues := subs(x=2*p, rodrigues):
rodrigues := subs(alpha=1/2, rodrigues):
rodrigues3 := factor(simplify(rodrigues));

-(4 p - 3) p
1   /    2            \
- p \16 p  - 40 p + 15/
4
1    /    3        2              \
- -- p \64 p  - 336 p  + 420 p - 105/
24

if it is impossible, how arthur derive t...

if it is impossible, how Author derive this? need transformation?

i see that they are quite similar, like just need a few more steps, then success

can it be manually done by observation using below script

restart;
n := 1:
rodrigues := exp(x)*(x^alpha)/n!*diff(exp(-x)*(x^(n+alpha)), x\$n):
rodrigues := subs(x=2*p, rodrigues):
rodrigues := subs(alpha=1/2, rodrigues):
rodrigues1 := factor(simplify(rodrigues));
n := 2:
rodrigues := exp(x)*(x^alpha)/n!*diff(exp(-x)*(x^(n+alpha)), x\$n):
rodrigues := subs(x=2*p, rodrigues):
rodrigues := subs(alpha=1/2, rodrigues):
rodrigues2 := factor(simplify(rodrigues));
n := 3:
rodrigues := exp(x)*(x^alpha)/n!*diff(exp(-x)*(x^(n+alpha)), x\$n):
rodrigues := subs(x=2*p, rodrigues):
rodrigues := subs(alpha=1/2, rodrigues):
rodrigues3 := factor(simplify(rodrigues));

-(4 p - 3) p
1   /    2            \
- p \16 p  - 40 p + 15/
4
1    /    3        2              \
- -- p \64 p  - 336 p  + 420 p - 105/
24

After adding assuming X > 1, it can n...

After adding assuming X > 1, it can not evaluate too
, how to define a range for it to transform successfully?

Bernoulli
charc := 1/(I*X/(-1+exp(I*X)))^n;
Density := int(exp(-I*X*u)/(I*X/(-1+exp(I*X)))^n, X = -infinity .. infinity) assuming X > 1;

Density := int(exp(-I*X*u)/(I*X/(-1+exp(I*X)))^n, X = 1.1 .. infinity)

can not evaluate

WoW!!!!  it success to evaluate wh...

WoW!!!!  it success to evaluate

why not set pdf at the same time?

WoW!!!!  it success to evaluate wh...

WoW!!!!  it success to evaluate

why not set pdf at the same time?

after using Unapply RealDist := Distrib...

after using Unapply

RealDist := Distribution(Dist(t-1));
Error, (in Statistics:-Distribution) invalid input: IsKnownDistribution expects its 1st argument, dn, to be of type name, but received Unapply(Pi*erf(t), t)

after using unapply

unexpected argument

after using Unapply RealDist := Distrib...

after using Unapply

RealDist := Distribution(Dist(t-1));
Error, (in Statistics:-Distribution) invalid input: IsKnownDistribution expects its 1st argument, dn, to be of type name, but received Unapply(Pi*erf(t), t)

after using unapply

unexpected argument

sorry for misunderstanding, just conside...

sorry for misunderstanding, just consider all i in small letter or all in big letter

sorry for misunderstanding, just conside...

sorry for misunderstanding, just consider all i in small letter or all in big letter

yes, by madan's result, in other words t...

yes, by madan's result, in other words to see how integration of two things result in new distribution

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