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Evolutionary Stability

Evolutionary Stability. Mixed strategy dynamics

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Evolutionary Stability

Mixed strategy dynamics

,...,1 ,)( strategies mixed typesnow,

spanning strategies pure typesfar, so

NiSip

Se

n

ni

Mixed strategy dynamics

payoff, )()(

,...,1 ,)( strategies mixed typesnow,

spanning strategies pure typesfar, so

jApipu

NiSip

Se

Tij

n

ni

Mixed strategy dynamics

Sex ratio

usually near 50 percent

Sex ratio

usually near 50 percentmales XY, females XX

Sex ratio

other sex-determining mechanismsmealy bug:

Sex ratio

other sex-determining mechanismsmealy bug: if mating immediately 102:100

Sex ratio

other sex-determining mechanismsmealy bug: if mating immediately 102:100after 6 weeks 181:100

Sex ratio

other sex-determining mechanismsmealy bug: if mating immediately 102:100after 6 weeks 181:100after 10 weeks 991:100

Sex ratio

Sex ratio

m

p

m

pmpw

m

p

1

1),(

toalproportiont grandparen Gammas be toprob.

generation its within ratio-sex is and

boy) afor (prob. ratiosex sAlpha' is if

Sex ratio

21 if decreasing

21 if increasing ),(

)1(

)21(

1

1),(

toalproportiont grandparen Gammas be toprob.

generation its within ratio-sex is and

boy) afor (prob. ratiosex sAlpha' is if

m

mmpwp

mm

mmp

m

p

m

pmpw

m

p

Sex ratio

? ratio-sex invade ratio-sexcan when qp

Sex ratio

),(),(

iswhen

)1( ratio-sex ,populationin

? ratio-sex invade ratio-sexcan when

rqwrpw

qpr

qp

Sex ratio

better) do willlarger every smaller (for

ratio-sex stablerily evolutiona unique 21

),(),(

iswhen

)1( ratio-sex ,populationin

? ratio-sex invade ratio-sexcan when

pq

q

rqwrpw

qpr

qp

Mixed strategy dynamics

population of state

payoff, )()(

,...,1 ,)( strategies mixed typesnow,

spanning strategies pure typesfar, so

N

Tij

n

ni

Sx

jApipu

NiSip

Se

Mixed strategy dynamics

populationin strategy mean )()(

population of state

payoff, )()(

,...,1 ,)( strategies mixed typesnow,

spanning strategies pure typesfar, so

ipxxp

Sx

jApipu

NiSip

Se

i

N

Tij

n

ni

Mixed strategy dynamics

Mixed strategy dynamics

)]())()([())((

populationin strategy mean )()(

population of state

payoff, )()(

,...,1 ,)( strategies mixed typesnow,

spanning strategies pure typesfar, so

xApxpipxUxxUxxx

ipxxp

Sx

jApipu

NiSip

Se

Ti

Tiii

i

N

Tij

n

ni

Chicken with mixed strategy

Evolutionarily stable strategies

residentˆ invadecan minority no if ESS ˆ ppSp n

Evolutionarily stable strategies

)]ˆˆˆ)(1()ˆ()[1(

invader offrequency if

residentˆ invadecan minority no if ESS ˆ

pAppApxAppAppxxxx

x

ppSp

TTTT

n

Evolutionarily stable strategies

attractor 0 invasion no

)]ˆˆˆ)(1()ˆ()[1(

invader offrequency if

residentˆ invadecan minority no if ESS ˆ

pAppApxAppAppxxxx

x

ppSp

TTTT

n

Evolutionarily stable strategies

AppApp

ppAppAp

p

pAppApxAppAppxxxx

x

ppSp

TT

TT

TTTT

n

ˆ then equality, if (b)

and Nash) ˆ( ˆˆˆ (a)

iff ESS ˆ hence

attractor 0 invasion no

)]ˆˆˆ)(1()ˆ()[1(

invader offrequency if

residentˆ invadecan minority no if ESS ˆ

Evolutionarily stable strategies

by-close ˆfor ˆ iff ESS ˆ ppAppAppp TT

Evolutionarily stable strategies

!converselynot but

equ. replicatorfor attractor ˆ ESS ˆ

by-close ˆfor ˆ iff ESS ˆ

pp

ppAppAppp TT

Evolutionarily stable strategies

pxpxptxp

Nppcop

pp

pp

ppAppAppp TT

ˆ toclose )( with allfor ˆ))((

then))(),...,1((ˆ if i.e.

:stablestrongly ˆ ESS ˆ

equ. replicatorfor attractor ˆ ESS ˆ

by-close ˆfor ˆ iff ESS ˆ

pxpxptxp

Nppcop

pp

ˆ toclose )( with allfor ˆ))((

then))(),...,1((ˆ if i.e.

:stablestrongly ˆ ESS ˆ

Adaptive dynamics

Adaptive dynamics

0),(),(:),( iff invade?it can

),( payoff ,minority mutant

all s,homogeneou pop.resident

.)escalate.. toprob. ratio,-(sex trait some be let

xxAxyAxhW

xyAhxy

x

Rx

Adaptive dynamics

limited)-(mutation sequenceon substitutitrait

0),(),(:),( iff invade?it can

),( payoff ,minority mutatant

all s,homogeneou pop.resident

.)escalate.. toprob. ratio,-(sex trait some be let

xxAxyAxhW

xyAhxy

x

Rx

Adaptive dynamics

direction favorable towardspoints

),0(

limited)-(mutation sequenceon substitutitrait

0),(),(:),( iff invade?it can

),( payoff ,minority mutatant

all s,homogeneou pop.resident

.)escalate.. toprob. ratio,-(sex trait some be let

xh

Wx

xxAxyAxhW

xyAhxy

x

Rx

Adaptive dynamics

),0( x

h

Wx

Adaptive dynamics

0)ˆ,( if stablerily evolutionalocally ˆ

),0(

xhWx

xh

Wx

Adaptive dynamics

)ˆ(),( if stable-econvergenc ˆ

0)ˆ,( if stablerily evolutionalocally ˆ

),0(

xxhxhWx

xhWx

xh

Wx

Adaptive dynamics

ESS toeconvergenc ... ratio-sex Chicken,for

)ˆ(),( if stable-econvergenc ˆ

0)ˆ,( if stablerily evolutionalocally ˆ

),0(

xxhxhWx

xhWx

xh

Wx

Adaptive dynamics

le!unattainab becan ESSan but

ESS toeconvergenc ... ratio-sex Chicken,for

)ˆ(),( if stable-econvergenc ˆ

0)ˆ,( if stablerily evolutionalocally ˆ

),0(

xxhxhWx

xhWx

xh

Wx

Adaptive dynamics

points branching

le!unattainab becan ESSan but

ESS toeconvergenc ... ratio-sex Chicken,for

)ˆ(),( if stable-econvergenc ˆ

0)ˆ,( if stablerily evolutionalocally ˆ

),0(

xxhxhWx

xhWx

xh

Wx

Population Genetics

Mendelian population

diploid-haploid life cycle

Population Genetics

nji

NN

SijpAA

xxAA

)( uses ),( genotype individual

,..., sfrequencie ,..., alleles

populationMendelian

11

Population Genetics

ji

i

ji

nji

NN

xijppA

xxijpxpp

SijpAA

xxAA

)( strategy uses allele

)()(mean population

)( uses ),( genotype individual

,..., sfrequencie ,..., alleles

populationMendelian

11

Population Genetics

])[(

dynamics replicator

)( strategy uses allele

)()(mean population

)( uses ),( genotype individual

,..., sfrequencie ,..., alleles

populationMendelian

11

Apppxx

xijppA

xxijpxpp

SijpAA

xxAA

Tiii

ji

i

ji

nji

NN

Population Genetics

)ˆ( if feasible ˆ

}ˆ)(:{)ˆ(

pointrest point rest

))(()(

pSp

pxpSxpS

px

txptx

n

Population Genetics

ptxp

UtxVxVxU

pSx

p

n

ˆ))(( and

)( s.t. ˆ of nbhd if

and )ˆ(ˆpoint rest i.e.

:stablelly strategica then feasible, and ESS ˆ if

:3

Linkage and Cross-over

Linkage and Cross-over

With recombination, fitness need not increase

Population genetics

frequency-dependent selection evolutionary game dynamics short-term vs. long-term evolution adaptive dynamics approximations vs. simulations