Maxim Finkelstein
James Vaupel

http://www.demographic-research.org/volumes/vol21/29/

doi:10.4054/DemRes.2009.21.29

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Abstract
It is well known that life expectancy can be expressed as an integral of the survival curve. The reverse - that the survival function can be expressed as an integral of life expectancy - is also true.

Author's affiliation
Maxim Finkelstein
University of the Free State, South Africa
James Vaupel
Max Planck Institute for Demographic Research, Germany

Keywords
force of mortality, life expectancy, life table, stationary population, survival function

Related links

All publications in the ongoing Special Collection 8 "Formal Relationships" can be found at http://www.demographic-research.org/special/8/

Word count (Main text)
976

Other articles by the same author/authors (in Demographic Research)

	[22-36] Total daily change with age equals average lifetime change
	[20-29] The age separating early deaths from late deaths
	[20-3] Life lived and left: Carey’s equality
	[20-1] Formal Relationships: Introduction and Orientation
	[14-7] The relative tail of longevity and the mean remaining lifetime
	[13-24] Lifesaving, lifetimes and lifetables
	[13-6] On stochastic comparisons of population age structures and life expectancies
	[8-7] Oldest Old Mortality in China
	[7-8] Life Expectancy at Current Rates vs. Current Conditions: A Reflexion Stimulated by Bongaarts and Feeney’s "How Long Do We Live?"
	[7-1] Decomposing demographic change into direct vs. compositional components
	[6-5] Dr. Väinö Kannisto: A Reflexion

Similar articles in Demographic Research

	[22-36] Total daily change with age equals average lifetime change (stationary population, life expectancy)
	[22-5] Life expectancy is the death-weighted average of the reciprocal of the survival-specific force of mortality (life expectancy, force of mortality)
	[18-14] Constant global population with demographic heterogeneity (stationary population, life expectancy)

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