• Tidak ada hasil yang ditemukan

getdocf34b. 98KB Jun 04 2011 12:05:11 AM

N/A
N/A
Protected

Academic year: 2017

Membagikan "getdocf34b. 98KB Jun 04 2011 12:05:11 AM"

Copied!
3
0
0

Teks penuh

(1)

✸❂✽✑❃❄❃❄❅❆✿❁❀✴✸☞❇✹✺✼❀✴✽❈✿❊❉

❋❍●❏■

✻❈✽✑❑▲❇✾❑▲❀▼✷◆❀✟✺P❖

◗❙❘❯❚▲❱❳❲❨❱✳❩❭❬❫❪❴❘❛❵❜❵❜❬❞❝✧❡❢❲❨❱❣❘❴❤ ✐❥❘❛❵ ❱✳❤❦❪❧❵❜❬❞❡♠❚▲❱♥❤♣♦ ❬q❩❭❬❞❤r❲❙❚

s ❱❳❲✉t ✈❭❱❣❚❂✇✾❘❛❱✳❤r❲ ✈①❬②◗✉❬❞❤♠✈③❬❞❤♣❪❄❱♥❬❨❚④✈r❘❴❬❨❚⑤❤♣❘⑥❲ ❱♥⑦⑧◗✉❝✼⑨

◗❙❘❯❚▲❱❳❲❨❱✳❩❭❬❫❪❴❘❛❵❜❵❜❬❞❝✧❡❢❲❨❱❣❘❴❤ ✐❥❘❛❵ ❡❯❝⑩❝❶❱♥❤❦❪❧❵❷❬②❡③❚❂❱♥❤♣♦ ❬q❩❭❬❞❤r❲❙❚

❸❺❹✚❻✙❼❾❽❾❿❣➀✓➁➃➂q➄✍❹➅❸➆❹➅❸❾➇❾➄◆➈✓➉

➊▲✄✡➋➌✢✱✘➍✞➎✎❂✄✟✔➌✞✂✌➅➏✹➐❊✢✱✞➒➑✵✄✟✎❂✢✏✞✩✒❍✆▼➓✣➔➣→❺↔↕✞✕➙➛✄▼✘✣➓➃➜➝✔➌✒✕➞✱✄▼✘✣➓➍✒✕✞➎➟➠➔➣✖✙✒➡➓✟✆✝✢✱✞➢✢✱➤◆✢✏➟➠➔➦➥✼➧✗➨✏➩✜➩➛➫▼➭

➯✟➲✑➳✜➵☎➸➎➺❳➻➽➼➌➾➌➚✤➻❳➚✴➻➽➪✵➶✤➹✳➘✜➴➛➷✙➬✡➮➛➱➽➴➛➪✵➾✜➮❐✃➝➬❒➾✬❮✜➱

↔➌✛✟✎☞✒✕✞➎✞➢✄✝Ï✾➀❺Ð✵Ñ

➵Ò➸

✲✴✪➌Ó✵★✜✪✜✪✬✫✵Ó⑩✢✜✆✣✆✝✄➢➋✳✞➢✄✝Ï✾✒✕✔☞Ô◆✔✳✢✱✁✜➏▼✌✏✘➍✎❜Õ✬Ö✵×

★➛Ø➽Ó➌★✏✪✬✪✜✫

➀✓Ù❊➁✗★✏✪✜✪✬✪▲➁➽Ö✵Ú↕Û

➯✴Ü▼Ý❺Ü✟➸Ò➳✬Þ✚Þ✚➵☎ß❐Ü✟➳✏Ý✚➵Òà

×

➺➣á ✪➛❻✙✪➛â

ã

➯✟ä➽å✙à Ñ✣æ

Þ✟➺➝➵

×

Ü

Ñ

➯✴➳✜Þ✚➵ ×✵ç

➯✟è✜➯

×

Ý✝Þ Ó↕Ð

à➛Þ❒➵☎Ý✚➵Òè✜➯PÜ▼à Ñ✚Ñ

➯✟➸➡➳✱Ý✚➵Òà ×éÓ↕ê➣ã❾➇

×

➯✴ë

Ö

➳✜➸☎➵☎Ý➅ä

ì ✛▼➓✣✞➎✘✚✢✜✆✟✞

➀♠Ð✵Ñ

à

Ú

Ú

➵Ò➸Ò➵íÝ➅ä❏➲▲➯✤➳✜Þ Ö✵Ñ

µ

à

×

Ý✚î➌➯ï➸➡➳✱Ý✚Ý✚➵➡Ü▼➯

2

[

n

]

➵➡Þ❆Þ✚➳✜➵

æ

Ý✚à

Ú

Ð

à✬Þ✚➵☎Ý✚➵Òè✜➯✟➸Òä❏➳✬Þ✚Þ✚à↕Ü✟➵Ò➳✏Ý✚➯

æ

➵☎ð☞➳

×

ä❥Ý➅å✯à

×

Ü

Ñ

➯✴➳✬Þ❒➵ ×✵ç

ð

Ö✵×

Ü▼Ý✚➵Òà

×

Þñà

×

Ý✝î✵➯❈➸➡➳✱Ý✚Ý✚➵➡Ü▼➯✾➳

Ñ

Ð

à➛Þ❒➵☎Ý✝➵☎è✜➯✴➸☎ä⑩Ü▼à Ñ✝Ñ

➯✟➸➡➳✱Ý✚➯

æ

åò➵☎Ý✚î

Ñ

➯✴Þ

Ð

➯✴Ü▼ÝPÝ✚à

µ

ó❆ô ➯✴➲❂➳

×

Ý✝➸☎➯❊õ ✫✱ö

➳✜Þ✚÷✜➯

æ

åòî✵➯▼Ý✝î✵➯ Ñ✤Ó

×

à

Ñ✣æ

Ñ

Ý✝àñ➯✤Þ➅Ý✣➳

Ú

➸Ò➵ÒÞ✚î

Ð

à✬Þ✚➵íÝ✝➵☎è✬➯❺➳✬Þ✚Þ✚à↕Ü✟➵Ò➳✏Ý✚➵Òà

×

ð➒à

Ñ

ç

➵Òè✜➯

×

µ

Ó ➵☎Ý✙➲❂➵

ç

î✬Ý

Ú

➯❾Þ Ö✵ø

Ü✟➵☎➯

×

Ý✯Ý✝à

Þ✚î✵à➠å

Ð

à✬Þ✚➵☎Ý✚➵Òè✜➯❂Ü▼à Ñ✚Ñ

➯✟➸➡➳✱Ý✚➵Òà

×

à

×

➸Òä✗ð➒à Ñ✹Ð

➳✏➵

Ñ

Þ✓à✜ð◆ð Ö✵×

Ü▼Ý✚➵Òà

×

Þ✹åòî➌➵ÒÜ✣î

æ

Ð

×❐æ

à

×⑩æ

➵➡Þ

Û

à✜➵

×

Ý✼Þ Ö✵Ú

Þ✚➯▼Ý✝Þ✹à✏ð✯Ý✚î✵➯

ç✜Ñ

à

Ö➌×➌æ

Þ❒➯✟Ý

[n]

ó

➯✓➳

×

Þ✚å✯➯

Ñ

ô

➯✟➲✑➳

×

Ý✚➸Ò➯✜ùÞ✯ë

Ö

➯✴Þ❒Ý✚➵Òà

×

×

Ý✝î✵➯

×

ç

➳✱Ý✝➵☎è✜➯ Ó✜Ú

ä▲➯▼ú↕î✵➵

Ú

➵☎Ý✚➵ ×✵ç

➳P➲❂➯✴➳✬Þ Ö✵Ñ

➯òåòî✵➵➡Ü✝î

ç

➵Òè✜➯✤Þ

Ð

à➛Þ❒➵☎Ý✚➵Òè✜➯✹Ü✟à Ñ✝Ñ

➯✴➸Ò➳✱Ý✝➵☎à

×

ð➒à ÑòÐ

➳✏➵

Ñ

Þ✙Þ✝➳✱Ý✝➵ÒÞ❒ð➒ä➽➵ ×➌ç

ô

➯✟➲✑➳

×

Ý✚➸Ò➯✜ùÞòÜ▼à ×➌æ

➵☎Ý✚➵Òà ×➃Ú➌Ö

Ý

×

à✏Ý✂ð➒à Ñ✂ç

×

Ñ

➳✜➸

Ð

➳✜➵

Ñ

Þ✙à✏ð

×

Ü

Ñ

➯✴➳✬Þ❒➵ ×✵ç

ð

Ö✵×

Ü➍Ý✝➵☎à

×

Þ

ó

ð

Ö✵×➌æ

➳✏➲❂➯

×

Ý✣➳✏➸ Ð✵Ñ

à

Ú

➸Ò➯✟➲✉➵ ×❂æ

➵ÒÞ✝Ü

Ñ

➯▼Ý✝➯ Ð✵Ñ

à

Ú

Ú

➵☎➸Ò➵☎Ý➢äP➵➡Þ✟➺❣➵íð

µ

➵➡Þ➣➳❾➲▲➯✤➳✜Þ Ö✵Ñ

➯✙à

×

Ý✝î✵➯✂➸➡➳✱Ý❒Ý✝➵ÒÜ✟➯

2

[

n

]

à✏ð✳Þ Ö✵Ú

Þ✚➯▼Ý✣Þ

à✏ðû➳

×

n

ü ➯✴➸☎➯✴➲❂➯

×

Ý

ç✬Ñ

à

Ö✵×➌æ

Þ✚➯▼Ý Ó✬Ö➌×➌æ

Ñ

åòî➌➳✏Ý✯Ü✟à ×➌æ

➵☎Ý✚➵Òà

×

Þ

æ

à➽➯✴Þ

µ

î➌➳➠è✜➯

Ð

à✬Þ✚➵íÝ✝➵☎è✜➯✓➳✜Þ✝Þ❒à↕Ü✟➵Ò➳✏Ý✚➵Òà ×❐ý➃❼

Ñ

µ

➵ÒÞ Þ✝➳✏➵

æ

Ý✚à❂î❐➳✤è✜➯

Ð

à✬Þ✚➵íÝ✝➵☎è✜➯P➳✜Þ✝Þ❒à✵Ü▼➵➡➳✱Ý✚➵Òà

×

➵☎ð➣➳

×

ä✑Ý➢å✯à❂➵

×

Ü

Ñ

➯✤➳✜Þ✚➵ ×✵ç

ð

Ö✵×

Ü➍Ý✝➵Òà

×

Þ➆➳

Ñ

Ð

à✬Þ✚➵íÝ✝➵☎è✜➯✴➸☎ä✾Ü✟à Ñ✝Ñ

➯✟➸➡➳✱Ý✝➯

æ

åò➵☎Ý✚î

Ñ

➯✴Þ

Ð

➯✴Ü➍Ý✂Ý✝à

µ

✰ Ý✚î❐➳✱Ý➆➵ÒÞ

Ó

➵íð➣åòî✵➯

×

➯✟è✜➯

Ñ

f, g

:

X

R

+

Ñ

➯✹➵

×

Ü

Ñ

➯✤➳✜Þ✚➵ ×✵ç

ð

Ö✵×

Ü➍Ý✚➵Òà

×

Þ

Ó

å✙➯✹î➌➳➠è✜➯

Z

f gdµ

Z

f dµ

Z

gdµ

✦❒✲✤✭

þ

î✵➵➡Þ Ð✵Ñ

à

Ð

Ñ

Ý➢ä▲➵➡Þ◆à✜ð✕Ý✚➯

×

Ü✴➳✏➸Ò➸☎➯

æ

Ý✚î✵➯

ê➣ã❾➇❢Ð➌Ñ

à

Ð

Ñ

Ý➅ä

Ó

➳✱ð✕Ý✝➯

Ñ

Ý✝î✵➯❾Ü▼➯✴➸☎➯ Ú✵Ñ

➳✏Ý✚➯ æ✑ê➣ã❾➇

×

➯✤ë

Ö

➳✏➸Ò➵íÝ➅ä✗õ ★➠ö

åòî✵➵➡Ü✝î

➯✴Þ❒Ý✝➳

Ú

➸Ò➵ÒÞ✚î✵➯✴Þ☞➳ÿÞ Ö↕ø

Ü✟➵☎➯

×

Ý❂Ü▼à ×❐æ

➵íÝ✝➵☎à

×

ð➒à

Ñ

µ

Ý✝àÿî❐➳✤è✜➯

Ð

à➛Þ❒➵☎Ý✚➵Òè✜➯✾➳✬Þ✚Þ✚à↕Ü▼➵➡➳✱Ý✝➵☎à

×

ó

✦✩❸

à✜Ý✚➯❈Ý✝î➌➳✱Ý

Ó

ð➒à✜➸Ò➸Òà➠åò➵ ×✵ç

Þ❒Ý✝➳ ×➌æ

Ñ✣æ

Ú✵Ö

Þ❒➯

Ó

å✯➯

Ö

Þ❒➯✁❒➵

×

Ü

Ñ

➯✴➳✬Þ❒➵ ×✵ç✄✂

Ý✚à✑➲▲➯✤➳

×

å✯➯✤➳✏÷➽➸Òä✑➵

×

Ü

Ñ

➯✤➳✜Þ✚➵ ×✵ç❐Ó

ó

ó

×

à

×➌æ

➯✤Ü

Ñ

➯✴➳✜Þ✚➵ ×✵ç➛✭

ó

ô

➯✟➲✑➳

×

Ý✝➸Ò➯✹➳✬Þ❒÷✜➯

æ

Ý✚î✵➯❾ð➒à✜➸Ò➸Òà➠åò➵ ×✵ç

ë

Ö

➯✤Þ➅Ý✝➵☎à

×

×

õ

✫✱ö

➺➣Ý✚à▲➯✤Þ➅Ý✣➳

Ú

➸Ò➵➡Þ❒î✾Ý✚î➌➳✏Ý ✦❒✲✤✭

î➌à✜➸

æ

Þ✯ð➒à Ñ✼✢✱✁➒✁ûÐ

➳✜➵

Ñ

Þ

f, g

Ó ➵➡Þ✙➵☎Ý

Þ

Ö↕ø

Ü▼➵Ò➯

×

Ý❺Ý✚à✾➳✜Þ✝Þ

Ö

➲▲➯ ✦❒✲✤✭

à

×

➸☎ä✾ð➒à Ñ❺Ð

➳✏➵

Ñ

Þ

f, g

Þ

Ö

Ü✝î✗Ý✚î❐➳✱Ý➆Ý✝î✵➯✼è✱➳✜➸

Ö

➯✴Þòà✏ð

f

➳ ×➌æ

g

æ

Ð

×➌æ

à

×❁æ

➵➡Þ

Û

à✬➵

×

Ý

Þ

Ö✵Ú

Þ✚➯▼Ý✝Þ◆à✜ð♥Ý✝î✵➯❺➯✴➸☎➯✴➲▲➯

×

Ý✣Þ◆➵

×

Ý✚î✵➯ ç✜Ñ

à

Ö✵×➌æ

Þ✚➯▼Ý ý✗❼

Ñ

f

➳ ×➌æ

g

Ñ

➯❺Þ✚➳✜➵

æ

Ý✚à

æ

Ð

×➌æ

à

×❈æ

➵➡Þ

Û

à✬➵

×

Ý✙Þ Ö✵Ú

Þ✚➯▼Ý✝Þ

à✏ð❣Ý✚î✵➯ ç✜Ñ

à

Ö✵×❐æ

Þ✚➯▼Ýò➵íð❣Ý✝î✵➯

Ñ

➯✹➯▼ú↕➵ÒÞ❒Ý

S, T

[n]

Þ

Ö

Ü✣î➃Ý✚î➌➳✏Ý

S

T

=

Ó

×➌æ

Þ

Ö

Ü✣î✾Ý✝î➌➳✱Ýòð✕à

Ñ

×

ä

A

[n]

Ó

f

(A) =

f

(A

S)

➳ ×➌æ

g(A) =

g(A

T)

ó ❹➢×

Ý✚î➌➵ÒÞ

×

à✏Ý✝➯➆å✯➯✓Þ✚î✵à✱å Ý✝î➌➳✱Ý✯Ý✚î✵➯❾➳

×

Þ✚å✯➯

Ñ

Ý✚à

ô

➯✟➲✑➳

×

Ý✚➸Ò➯✜ùÞ✯ë

Ö

➯✴Þ❒Ý✚➵Òà

×

➵ÒÞ

×

à

ó

➯❺➯▼ú↕î✵➵

Ú

➵☎Ý✙➳✼➲▲➯✤➳✜Þ Ö✵Ñ

µ

à

×

➳✆☎

ü

➯✴➸☎➯✴➲▲➯

×

Ý✙➸➡➳✱Ý✚Ý✚➵➡Ü▼➯✹Þ

Ö

Ü✝î✾Ý✚î➌➳✏Ý ✦❒✲✤✭

î✵à✬➸

æ

Þ✙åòî✵➯

×

➯✴è✜➯

Ñ

f, g

æ

Ð

×➌æ

à

×➃æ

➵➡Þ

Û

à✜➵

×

ÝòÞ Ö✵Ú

Þ❒➯✟Ý✝Þ✙à✏ðéÝ✝î✵➯ ç✜Ñ

à

Ö➌×➌æ

Þ✚➯▼Ý Ó✵Ú✵Ö

ÝòÝ✚î✵➯

Ñ

➯P➯▼ú↕➵ÒÞ❒Ý✝Þ➆➳▲➲▲à

Ñ

ç

×

Ñ

➳✏➸

Ð

➳✜➵

Ñ

à✜ð➝➵

×

Ü

Ñ

➯✤➳✜Þ✚➵ ×➌ç

f, g

Þ

Ö

Ü✣î➃Ý✝î➌➳✱Ý ✦❒✲✤✭

ð❍➳✏➵Ò➸ÒÞ

ó

(2)

➸☎➯✤Ü➍Ý à ➵ÒÜ à✜➲❂➲ ➵➡Ü✟➳✏Ý✚➵Òà Þ✂➵ ô à ➳ ➵Ò➸☎➵☎Ý➅ä ➂ ➯✾ß Ñ Þ➅Ý▲à Ú Þ✚➯ Ñ è✜➯✑Ý✚î❐➳✱Ý Ó ð➒à✜➸Ò➸Òà➠åò➵ ×✵ç ➳❊Þ❒Ý✝➳ ×➌æ ➳ Ñ✣æ✧Ñ ➯ æ✵Ö Ü➍Ý✝➵☎à × Ý✚➯✴Ü✣î × ➵➡ë Ö ➯ ✦ Þ❒➯✴➯✾➯ ó ç ó õ ✲➍ö➒✭➍Ó ➵☎Ý❂Þ Ö↕ø Ü▼➯✤Þ✼Ý✝à Ü▼à × Þ✚➵ æ ➯ Ñ✓Ð ➳✜➵ Ñ Þ

f, g

åòî✵➵➡Ü✝î⑩➳

Ñ ➯ ✪ ü ✲ è✱➳✜➸ Ö ➯ æ❳Ó ➵ ó ➯ ó Ý✝➳✜÷✜➯

f, g

Ý✚à

Ú ➯☞➵ ×➌æ ➵➡Ü✟➳✏Ý✚à Ñ ð Ö✵× Ü▼Ý✚➵Òà × Þ❾à✜ð◆➵ × Ü Ñ ➯✴➳✜Þ✚➵ ×✵ç ➯✟è✜➯ × Ý✣Þ

A

,

B ⊆

2

[

n

]

ó þ à❊Þ❒➯✴➯✑Ý✚î✵➵➡Þ Ó➣× à✜Ý✚➯✑Ý✚î❐➳✱Ý☞➳ × äï➵ × Ü Ñ ➯✴➳✬Þ❒➵ ×✵ç ð Ö✵× Ü➍Ý✝➵☎à × Þ

f, g

Ü✟➳ × Ú ➯ æ ➯✤Ü▼à✜➲ Ð à➛Þ❒➯ æ ➵ × Ý✚à Ð à✬Þ✚➵íÝ✝➵☎è✬➯☞➸Ò➵ × ➯✴➳ Ñ Ü▼à✬➲ Ú ➵ × ➳✱Ý✝➵☎à × Þ✓à✜ð✯Þ Ö Ü✣îï➵ ×➌æ ➵ÒÜ✴➳✱Ý✝à Ñ ð Ö✵× Ü➍Ý✝➵☎à × Þ Ó ➳ ×➌æ ➵☎ð ✦❒✲✤✭ î✵à✜➸ æ Þ✓ð➒à Ñ ➳✜➸☎➸ Ð ➳✏➵ Ñ Þ✓à✜ð ➵ ×➌æ ➵➡Ü✟➳✱Ý✝à Ñ ð Ö✵× Ü▼Ý✚➵Òà × Þ✂➵ × Ý✝î✵➯ æ ➯✤Ü▼à✬➲ Ð à➛Þ❒➵☎Ý✚➵Òà × Ý✚î✵➯ × ➵☎Ý✂î✵à✜➸ æ Þ✯ð➒à Ñ

f, g

➳✬Þ✙➳ñåòî✵à✬➸☎➯

ó ê✵Ö✵Ñ Ý✚î➌➯ Ñ ➲❂à Ñ ➯ Ó ➵íð

f, g

➳ Ñ ➯ æ ➯ Ð ➯ ×❐æ ➯ × Ý▲à × æ ➵➡Þ Û à✬➵ × Ý❂Þ Ö✵Ú Þ❒➯✟Ý✝Þ☞à✏ð➆Ý✚î✵➯ ç✜Ñ à Ö✵×➌æ Þ❒➯✟Ý Ó Þ✚àï➳ Ñ ➯❈Ý✚î✵➯➃➵ ×➌æ ➵➡Ü✟➳✏Ý✚à Ñ ð Ö➌× Ü➍Ý✝➵☎à × Þ☞➵ × Ý✚î✵➯✴➵ Ñ æ ➯✤Ü▼à✜➲ Ð à✬Þ✚➵☎Ý✚➵Òà × Þ ó þ î Ö Þ✂➵☎Ý❺Þ Ö✵ø Ü✟➯✴Þ✂Ý✚à❂➯✟ú↕î✵➵ Ú ➵íÝ

µ

Þ Ö Ü✣î➃Ý✚î➌➳✏Ý Ó ß Ñ Þ❒Ý Ó å✯➯✹î➌➳➠è✜➯

µ(

A ∩ B

)

µ(

A

)µ(

B

)

✦✩★✜✭

åòî✵➯

×

➯✟è✜➯

Ñ

A

,

B ⊆

2

[

n

]

Ñ ➯☞➵ × Ü Ñ ➯✴➳✜Þ✚➵ ×✵ç ➯✴è✜➯ × Ý✝Þ✹➳ ×➌æ Ý✚î➌➯ Ñ ➯▲➯▼ú↕➵ÒÞ❒Ý

S, T

2

[

n

]

Þ

Ö

Ü✝î❊Ý✝î➌➳✱Ý

S

T

=

Ó

➳ ×❐æ ➲❂➯✟➲ Ú ➯ Ñ Þ❒î➌➵ Ð à✜ðé➳✼Þ Ö✵Ú Þ❒➯✟Ý

A

2

[

n

]

×

A

✦❍Ñ ➯✤Þ Ð ó

B

✭✍æ ➯ Ð ➯ ×➌æ Þ◆à × ➸☎ä▲à ×

A

S

✦❍Ñ ➯✴Þ

Ð

ó

A

T

✭✁ ➳ ×➌æ❳Ó Þ✚➯✴Ü▼à ×➌æ❳Ó Ý✝î✵➯ Ñ ➯P➯✟ú➽➵➡Þ❒Ý✝Þ➆➳❂➲❂à Ñ ➯ ç ➯ × ➯ Ñ ➳✏➸ Ð ➳✜➵ Ñ à✏ð➣➵ × Ü Ñ ➯✤➳✜Þ✚➵ ×✵ç ➯✟è✬➯ × Ý✣Þ

A

,

B ⊆

2

[

n

]

Þ

Ö Ü✝î✗Ý✚î➌➳✏Ý ✦✩★✜✭ ð❍➳✏➵Ò➸➡Þ✂Ý✝à î✵à✬➸ æ ó ❿ ➯✟Ý

µ

: 2

[4]

[0,

1]

Ú

➯ æ ➯▼ß × ➯ æ ➳✜Þ✙ð➒à✬➸☎➸Òà➠å➆Þ✴➺

µ(

{

1,

2,

3,

4

}

)

= 0.6667

µ(

{

1,

2

}

)

= 0.1

µ(

{

1,

3

}

)

= 0.08

µ(

{

2,

4

}

)

= 0.07

µ(

{

3,

4

}

)

= 0.05

µ(

)

= 0.0333

þ î✵➯✂➳ Ú à✱è✜➯ Ð✵Ñ à Ú ➳ Ú ➵Ò➸☎➵☎Ý✚➵Ò➯✴Þ➝➳ æ✵æ✼Ö✵Ð Ý✝à ✲✜Ó Þ✚à✓å✯➯✂Þ❒➯✟Ý❣Ý✝î✵➯ Ð✵Ñ à Ú ➳ Ú ➵Ò➸☎➵☎Ý✚➵Ò➯✴Þ❣à✏ð✳➳✏➸Ò➸➛à✏Ý✝î✵➯ Ñ Þ Ö✵Ú Þ❒➯▼Ý✣Þ❣à✜ð

{

1,

2,

3,

4

}

Ý✚à✄✂✟➯ Ñ à ó þ àÿè✜➯ Ñ ➵íð➒äïÝ✚î➌➳✏Ý

µ

å✯à Ñ ÷↕Þ✼➳✬Þ Ð✵Ñ à✬➲▲➵➡Þ✚➯ æ❳Ó ß Ñ Þ❒Ý✼Ý✝➳✜÷✜➯

A

0

=

{

S

2

[

n

]

:

{

1,

2

} ⊆

S

∨ {

3,

4

} ⊆

S

}

Ó

B

0

=

{

S

2

[

n

]

:

{

1,

3

} ⊆

S

∨ {

2,

4

} ⊆

S

}

➳ ×➌æ à Ú Þ✚➯ Ñ è✜➯✑Ý✚î➌➳✏Ý

µ(

A

0) =

µ(

B

0) = 0.8167

Ó Þ✚à

µ(

A

0)µ(

B

0)

0.667

åòî✵➵Ò➸☎➯

µ(

A

0

∩ B

0) = 0.6667

Ó

Þ✚à☞Ý✝î✵➵➡Þ

Ð

➳✏➵

Ñ

A

0,

B

0

è➽➵☎à✬➸Ò➳✏Ý✚➯✤Þ ✦✩★✬✭ ó ❹ Ý Ñ ➯✟➲✑➳✏➵ × Þ✂à × ➸☎ä❈Ý✚à❈Ü✣î✵➯✴Ü✣÷ ✦✩★✬✭ ð➒à ÑòÐ ➳✏➵ Ñ Þ

A

,

B

æ

➯ Ð ➯ ×❐æ ➵ ×➌ç à ×✗æ ➵➡Þ Û à✜➵ × Ý❺Þ Ö✵Ú Þ✚➯▼Ý✣Þ✂à✜ð

{

1,

2,

3,

4

}

ó

þ î➌➯ Ñ ➯ ➳ Ñ ➯ ✲✆☎✬â❺æ ➵➡Þ➅Ý✝➵ × Ü▼Ý✍Þ Ö Ü✝î Ð ➳✏➵ Ñ Þ ó ➂ ➯✂å Ñ à✜Ý✚➯✂➳❾Ü▼à✬➲ Ð➌Ö Ý✚➯ Ñ➦Ð✵Ñ à ç✜Ñ ➳✏➲❢Ý✚î➌➳✏Ý Ñ✝Ö✵× Þ➝Ý✚î Ñ à Ö✵ç î☞➳✏➸Ò➸↕Þ Ö Ü✣î Ð ➳✜➵ Ñ Þ➝➳ ×➌æ Ü✣î✵➯✴Ü✣÷↕Þ✍Ý✚î➌➳✏Ý ✦✩★✜✭ î✵à✬➸ æ Þ◆ð➒à Ñ ➯✤➳✜Ü✣î ó þ î✵➯✓➲❂➵ × ➵☎➲ Ö ➲ æ ➯ ç✜Ñ ➯✟➯❺à✏ð Ð à➛Þ❒➵☎Ý✚➵Òè✜➯✓Ü▼à Ñ✚Ñ ➯✟➸➡➳✱Ý✚➵Òà ×❁✦ ➳ Ð ➳ Ñ Ý◆ð Ñ à✜➲❙Ý Ñ ➵☎è➽➵➡➳✏➸ Ð ➳✜➵ Ñ Þ◆ð➒à Ñ åòî✵➵➡Ü✣î ✦✩★✬✭ î✵à✬➸ æ Þ✙åò➵☎Ý✚î❆➯✴ë Ö ➳✜➸☎➵☎Ý➅ä ✭ ➵ÒÞ✂➳✬Ü✝î✵➵Ò➯✟è✬➯ æ❈Ú ä❂Ý✝î✵➯✹➯✟è✜➯ × Ý✝Þ

A

1

=

{

S

2

[

n

]

: 2

S

}

×❐æ

B

1

=

{

S

2

[

n

]

: 3

S

}

î✵➯

Ñ

µ(

A

1)µ(

B

1) = 0.8367

·

0.7967

0.6666

åòî✵➵Ò➸Ò➯

µ(

A

1

∩B

1) = 0.6667

ó

ê ➵ × ➳✏➸Ò➸☎ä Ó å✙➯ × à✜Ý✚➯❈Ý✚î➌➳✏Ýñ➲✑➳ × ä⑩à✏Ý✝î✵➯ Ñ Ü✣î✵à✜➵➡Ü▼➯✤Þ✼à✏ðò➲❂➯✴➳✬Þ Ö➌Ñ ➯✑å✙à Ö ➸ æ ➸Ò➵☎÷✜➯✴➸☎ä⑩î➌➳➠è✜➯❈å✯à Ñ ÷✜➯ æ✝ ➵ ×➌æ ➯✴➯ æ❳Ó Ý✝î✵➯ å✯➯✴➵ ç î✬Ý✝Þ❈à✏ð✹Ý✚î✵➯ÿð➒à Ö✵Ñ Ý➢å✙à ü ➯✟➸Ò➯✟➲❂➯ × Ý✾Þ Ö✵Ú Þ✚➯▼Ý✣Þ❈➳ Ú à➠è✜➯ÿÜ✟➳ ×❏Ð✵Ñ à Ú ➳ Ú ➸☎ä Ú ➯ÿè✱➳ Ñ ➵Ò➯ æ à➠è✜➯ Ñ ➳ Ü▼à × Þ❒➵ æ ➯ Ñ ➳ Ú ➸☎➯ Ñ ➳ ×✵ç ➯Påò➵☎Ý✚î✵à Ö Ý❾➳✟✞✳➯✤Ü➍Ý✚➵ ×✵ç Ý✚î✵➯ Ñ ➯✤ë Ö ➵ Ñ ➯ æ✗Ð✵Ñ à Ð ➯ Ñ Ý✝➵☎➯✤Þ ó ❹ ð✍å✯➯ æ ➯ × à✏Ý✝➯✼Ý✚î✵➯✤Þ❒➯ñå✙➯✟➵ ç î✬Ý✣Þ Ú ä

b1, b2, b3, b4

× Ý✚î➌➯✂à Ñ✣æ ➯ Ñ Ý✝î✵➯✟ä☞➳ Ñ ➯✯➸Ò➵ÒÞ❒Ý✚➯ æ ➳ Ú à➠è✜➯ Ó Ý✚î✵➯ ×▲Ñ ➯✴ë Ö ➵ Ñ ➵ ×➌ç Ý✝î➌➳✱Ý

A

0,

B

0

➳ Ú à➠è✜➯ Ú ➯ × ➯ ç ➳✏Ý✚➵Òè✜➯✟➸ÒäPÜ✟à Ñ✝Ñ ➯✴➸Ò➳✏Ý✚➯ æ åòî✵➵Ò➸☎➯

A

1,

B

1

➳ Ñ ➯ Ð à✬Þ✚➵íÝ✝➵☎è✜➯✴➸☎ä✑Ü▼à Ñ✚Ñ ➯✟➸➡➳✱Ý✚➯ æ ä➽➵Ò➯✟➸ æ Þ◆Ý✚î✵➯✹Ü▼à × Þ➅Ý Ñ ➳✜➵ × Ý

(b1

b2)(b3

b4)

>

0

ó

➈ ➯✴ë Ö ➵ Ñ ➵ ×✵çñÐ à➛Þ❒➵☎Ý✚➵Òè✜➯ Ü▼à Ñ✚Ñ ➯✟➸➡➳✱Ý✝➵☎à × ð➒à Ñ à✜Ý✚î✵➯ Ñ❺Ð ➳✏➵ Ñ Þ

A

,

B

æ

➯ Ð ➯ ×➌æ ➯ × Ý❾à ×ÿæ ➵➡Þ Û à✬➵ × Ý❾Þ Ö✵Ú Þ❒➯✟Ý✝Þ➆à✜ð➣Ý✚î➌➯ñè✱➳ Ñ ➵➡➳ Ú ➸Ò➯✴Þòä➛➵Ò➯✟➸ æ Þ æ ➵✠✞♥➯ Ñ ➯ × Ý Ü▼à × Þ❒Ý Ñ ➳✏➵ × Ý✝Þ✹à × Ý✝î✵➯

b

i

Ó ➳✏➸Ò➸✍à✏ð✂åòî✵➵ÒÜ✣î ➳ Ñ ➯✑Þ✝➳✱Ý✝➵ÒÞ❒ß➌➯ æ åòî✵➯ ×

b1

> b2

> b3

> b4

ó

➂ ➯❈➳ Ñ✚Ñ ➵Òè✜➯ æ ➳✱ÝPÝ✝î✵➯ ➲❂➯✴➳✬Þ Ö✵Ñ ➯

µ

➳ Ú à✱è✜➯ Ú ä✼➲❂à Ñ ➯✙à Ñ ➸☎➯✤Þ✚Þ➦➳ Ñ✝Ú ➵☎Ý Ñ ➳ Ñ ➵☎➸Òä Ð ➵➡Ü✣÷➛➵ ×✵ç è✱➳✜➸ Ö ➯✤Þ❣ð➒à Ñ Ý✚î➌➯

b

i

➵ × Ý✚î➌➳✏Ý➦à Ñ✝æ ➯ Ñ✴Ó Ü✣î✵à➽à➛Þ❒➵ ×✵ç Ý✝î✵➯ å✯➯✴➵ ç î✬Ý✂à✏ð

{

1,

2,

3,

4

}

Ý✚à

ç ➵☎è✜➯ × ➯ ç ➳✱Ý✚➵Òè✜➯❾Ü▼à Ñ✚Ñ ➯✟➸➡➳✱Ý✝➵☎à × ð➒à Ñ

A

0,

B

0

(3)

à✬Þ✚➵☎Ý✚➵Òè✜➯PÜ▼à ➯✟➸➡➳✱Ý✚➵Òà ➳ ➵➡Þ à✬➵ Ý ➯ ➯ ➯ Ü✟➵☎➯✤Þ

❵✁✄✂☎✝✆✞✄✟✡✠☛✄☞

õ

✲▼ö✍✌

à➠ä➽➸Ò➯

Ó

ô➣ó Ó✳ê

➵ÒÞ✚î Ú✵Ö➌Ñ✚×éÓ

ô➝ó

Ó

×➌æ❁➁

î✵➯ Ð✵ÐéÓ✳❿

ó

✦❒✲✴✮ ☎ ☎✬✭

ó

þ

î✵➯

Ù

➳✱Ý✝Ü✣î

➯✟Ý❺à✏ð➦➳

×➌æ

à✜➲

ô

Ñ

Ö

Ý✣➳✱Ý✝➵☎à

×

î➌➳✬Þ✙Ý✚î✵➯ ê➣ã❾➇

ô

Ñ

à

Ð

Ñ

Ý➅ä

ó

✂ ì ✔➌✔♥✢✱✁➓✼✌➅➏✓✖✙✘✚✌✬✛✝✢✬✛▼✒✕✁í✒✕✞➎➟✏✎✒✑⑩✲✜✲✤✮

ü

✲✤★↕✲

ó

õ

★➠ö✼ê

à

Ñ

Ý

Ö

×éÓû❻

ó

Ó❳ã

➳✜Þ❒Ý✚➯✴➸☎➯✴ä ×éÓ

ô➣ó

Ó

×➌æï➇

×

Ú✵Ñ

Ó❳Õ

ó

✦❒✲✴✮➛Ø↕✲✤✭

ó

à

Ñ✝Ñ

➯✴➸Ò➳✱Ý✝➵☎à

×

×

➯✴ë

Ö

➳✜➸Ò➵íÝ✝➵☎➯✤Þ❺à

×

Þ✚à✜➲❂➯

Ð

Ñ

ü

Ý✚➵➡➳✜➸☎➸Òä❈à Ñ✝æ

Ñ

æ

Þ❒➯✟Ý✝Þ

ó

✂✗☛➦✌✏✎☞✎✑✠➝➐❊✢✱✞➒➑✵✠û✖✍➑↕➟➠➓✟✠✔✓✕✓éÓ ☎✜✮

ü

✲✤✪✜✫

ó

õ

✫✱ö

ô

➯✟➲✑➳

×

Ý✝➸Ò➯ Ó➽➈

ó

✦✩★✜✪✜✪✬✪✬✭

ó

þ

à➠å✂➳ Ñ✣æ

Þ➦➳✹Ý✚î✵➯✴à

Ñ

ä☞à✏ð

×

ç

➳✱Ý✝➵☎è✜➯

æ

Ð

×➌æ

×

Ü✟➯

ó

✂ñ➧↕✠♥➐ÿ✢✏✞✕➑➌✠✳✖✍➑↕➟➠➓▼✠✒✖✗✎❐Ó❐✲✤✫➛Ø↕✲

ü

Referensi

Dokumen terkait

To prove this theorem we extend the bounds proved in [ 2 ] for the continuous time simple random walk on (Γ , µ ) to the slightly more general random walks X and Y defined

We study the entropy of the distribution of the set R n of vertices visited by a simple random walk on a graph with bounded degrees in its first n steps.. It is shown that this

The aim of this paper is to propose a new kind of matrix ensembles; between classically and freely infinitely divisible laws connected through the Bercovici- Pata bijection,

An exact general formula for the expected length of the minimal spanning tree (MST) of a connected (possibly with loops and multiple edges) graph whose edges are assigned

Keywords: interacting particles system with a wall, intertwining, interlacing, random matrices, Gelfand-Tsetlin

It was proved in (7) that SLE(2) is the scaling limit of the corresponding loop-erased random walk (LERW), and SLE(8) is the scaling limit of some uniform spanning tree (UST)

Key words: local time, continuous semimartingale, generalized Itˆ o’s formula, stochastic Lebesgue-Stieltjes integral.. AMS 2000 Subject Classification: Primary

The concept of 2-normed spaces was introduced and studied by Siegfried G¨ah- ler, a German Mathematician who worked at German Academy of Science, Berlin, in a series of paper in