Jump to content
Wikipedia The Free Encyclopedia

Vote-ratio monotonicity

From Wikipedia, the free encyclopedia
Property of apportionment methods
A joint Politics and Economics series
Social choice and electoral systems
icon Mathematics portal
"Population-ratio monotonicity" redirects here; not to be confused with Population monotonicity.

Vote-ratio,[1] : Sub.9.6  weight-ratio,[2] or population-ratio monotonicity[3] : Sec.4  is a property of some apportionment methods. It says that if the entitlement for A {\displaystyle A} {\displaystyle A} grows at a faster rate than B {\displaystyle B} {\displaystyle B} (i.e. A {\displaystyle A} {\displaystyle A} grows proportionally more than B {\displaystyle B} {\displaystyle B}), A {\displaystyle A} {\displaystyle A} should not lose a seat to B {\displaystyle B} {\displaystyle B}.[1] : Sub.9.6  More formally, if the ratio of votes or populations A / B {\displaystyle A/B} {\displaystyle A/B} increases, then A {\displaystyle A} {\displaystyle A} should not lose a seat while B {\displaystyle B} {\displaystyle B} gains a seat. An apportionment method violating this rule may encounter population paradoxes.

A particularly severe variant, where voting for a party causes it to lose seats, is called a no-show paradox. The largest remainders method exhibits both population and no-show paradoxes.[4] : Sub.9.14 

Population-pair monotonicity

[edit ]

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

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

Strong monotonicity

[edit ]

A stronger variant of population monotonicity, called strong monotonicity requires that, if a state's entitlement (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 a fixed divisor and allowing the house size to vary, satisfies strong monotonicity in this sense.

Relation to other properties

[edit ]

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

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

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

See also

[edit ]

References

[edit ]
  1. ^ a b 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 , retrieved 2021年09月02日
  2. ^ Chakraborty, Mithun; Schmidt-Kraepelin, Ulrike; Suksompong, Warut (2021年04月29日). "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 , retrieved 2021年09月02日
  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 9780061241765.
  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 , retrieved 2021年09月02日

AltStyle によって変換されたページ (->オリジナル) /