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Vote-ratio monotonicity

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(Redirected fromState-population monotonicity)
Property of apportionment methods
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"Population-ratio monotonicity" redirects here; not to be confused withPopulation monotonicity.

Vote-ratio,[1]: Sub.9.6 weight-ratio,[2] orpopulation-ratio monotonicity[3]: Sec.4  is a property of someapportionment methods. It says that if theentitlement forA{\displaystyle A} grows at a faster rate thanB{\displaystyle B} (i.e.A{\displaystyle A} growsproportionally more thanB{\displaystyle B}),A{\displaystyle A} should not lose a seat toB{\displaystyle B}.[1]: Sub.9.6  More formally, if the ratio of votes or populationsA/B{\displaystyle A/B} increases, thenA{\displaystyle A} should not lose a seat whileB{\displaystyle B} gains a seat. An apportionment method violating this rule may encounterpopulation paradoxes.

A particularly severe variant, where votingfor a party causes it tolose seats, is called ano-show paradox. Thelargest remainders method exhibits both population and no-show paradoxes.[4]: Sub.9.14 

Population-pair monotonicity

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Pairwise monotonicity says that if theratio between the entitlements of two statesi,j{\displaystyle i,j} increases, then statej{\displaystyle j} should not gain seats at the expense of statei{\displaystyle i}. In other words, a shrinking state should not "steal" a seat from a growing state.

Some earlier apportionment rules, such asHamilton's method, do not satisfy VRM, and thus exhibit the population paradox. For example, after the 1900 census,Virginia lost a seat toMaine, even though Virginia's population was growing more rapidly.[5]: 231–232 

Strong monotonicity

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A stronger variant of population monotonicity, calledstrong monotonicity requires that, if a state'sentitlement (share of the population) increases, then its apportionment should not decrease, regardless of what happens to any other state's entitlement. This variant is extremely strong, however: whenever there are at least 3 states, and the house size is not exactly equal to the number of states, no apportionment method is strongly monotone for a fixed house size.[6]: Thm.4.1  Strong monotonicity failures in divisor methods happen when one state's entitlement increases, causing it to "steal" a seat from another state whose entitlement is unchanged.

However, it is worth noting that the traditional form of the divisor method, which involves using afixed divisor and allowing the house size to vary, satisfies strong monotonicity in this sense.

Relation to other properties

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Balinski andYoung proved that an apportionment method is VRM if-and-only-if it is adivisor method.[7]: Thm.4.3 

Palomares, Pukelsheim and Ramirez proved that very apportionment rule that isanonymous,balanced,concordant,homogenous, andcoherent is vote-ratio monotone.[citation needed]

Vote-ratio monotonicity implies that, if population moves from statei{\displaystyle i} to statej{\displaystyle j} while the populations of other states do not change, then bothaiai{\displaystyle a_{i}'\geq a_{i}} andajaj{\displaystyle a_{j}'\leq a_{j}} must hold.[8]: Sub.9.9 

See also

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References

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  1. ^abPukelsheim, Friedrich (2017), Pukelsheim, Friedrich (ed.), "Securing System Consistency: Coherence and Paradoxes",Proportional Representation: Apportionment Methods and Their Applications, Cham: Springer International Publishing, pp. 159–183,doi:10.1007/978-3-319-64707-4_9,ISBN 978-3-319-64707-4
  2. ^Chakraborty, Mithun; Schmidt-Kraepelin, Ulrike; Suksompong, Warut (2021-04-29). "Picking sequences and monotonicity in weighted fair division".Artificial Intelligence.301 103578.arXiv:2104.14347.doi:10.1016/j.artint.2021.103578.S2CID 233443832.
  3. ^Balinski, Michel L.; Young, H. Peyton (1982).Fair Representation: Meeting the Ideal of One Man, One Vote. New Haven: Yale University Press.ISBN 0-300-02724-9.
  4. ^Pukelsheim, Friedrich (2017), Pukelsheim, Friedrich (ed.), "Securing System Consistency: Coherence and Paradoxes",Proportional Representation: Apportionment Methods and Their Applications, Cham: Springer International Publishing, pp. 159–183,doi:10.1007/978-3-319-64707-4_9,ISBN 978-3-319-64707-4
  5. ^Stein, James D. (2008).How Math Explains the World: A Guide to the Power of Numbers, from Car Repair to Modern Physics. New York: Smithsonian Books.ISBN 978-0-06-124176-5.
  6. ^Balinski, Michel L.; Young, H. Peyton (1982).Fair Representation: Meeting the Ideal of One Man, One Vote. New Haven: Yale University Press.ISBN 0-300-02724-9.
  7. ^Balinski, Michel L.; Young, H. Peyton (1982).Fair Representation: Meeting the Ideal of One Man, One Vote. New Haven: Yale University Press.ISBN 0-300-02724-9.
  8. ^Pukelsheim, Friedrich (2017), Pukelsheim, Friedrich (ed.), "Securing System Consistency: Coherence and Paradoxes",Proportional Representation: Apportionment Methods and Their Applications, Cham: Springer International Publishing, pp. 159–183,doi:10.1007/978-3-319-64707-4_9,ISBN 978-3-319-64707-4
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