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==Overview==
==Overview==
The '''half-life''' of a quantity, subject to [[exponential decay]], is the time required for the quantity to decay to half of its initial value.  The concept originated in the study of [[radioactive decay]], but applies to many other fields as well, including phenomena which are described by non-exponential decays.
The '''half-life''' of a quantity, subject to [[exponential decay]], is the time required for the quantity to decay to half of its initial value.  The concept originated in the study of [[radioactive decay]], but applies to many other fields as well, including phenomena which are described by non-exponential decays.
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==References==
==References==
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Latest revision as of 15:47, 9 August 2012

Editor-In-Chief: C. Michael Gibson, M.S., M.D. [1]


Overview

The half-life of a quantity, subject to exponential decay, is the time required for the quantity to decay to half of its initial value. The concept originated in the study of radioactive decay, but applies to many other fields as well, including phenomena which are described by non-exponential decays.

The term half-life was coined in 1907, but it was always referred to as half-life period. It was not until the early 1950s that the word period was dropped from the name. [1]

Number of
half-lives
elapsed
Fraction
remaining
As
power
of 2
0 1/1 <math>1/2^0</math>
1 1/2 <math>1/2^1</math>
2 1/4 <math>1/2^2</math>
3 1/8 <math>1/2^3</math>
4 1/16 <math>1/2^4</math>
5 1/32 <math>1/2^5</math>
6 1/64 <math>1/2^6</math>
7 1/128 <math>1/2^7</math>
... ... ...
<math>N</math> <math>1/2^N</math> <math>1/2^N</math>

The table at right shows the reduction of the quantity in terms of the number of half-lives elapsed.

It can be shown that, for exponential decay, the half-life <math>t_{1/2}</math> obeys this relation:

<math>

t_{1/2} = \frac{\ln (2)}{\lambda} </math> where

  • <math>\ln (2)</math> is the natural logarithm of 2 (approximately 0.693), and
  • λ is the decay constant, a positive constant used to describe the rate of exponential decay.

The half-life is related to the mean lifetime τ by the following relation:

<math> t_{1/2} = \ln (2) \cdot \tau </math>

Examples

The constant <math>\lambda</math> can represent many different specific physical quantities, depending on what process is being described.

  • In an RC circuit or RL circuit, <math>\lambda</math> is the reciprocal of the circuit's time constant. For simple RC and RL circuits, <math>\lambda</math> equals <math>1/RC</math> or <math>R/L</math>, respectively.
  • In first-order chemical reactions, <math>\lambda</math> is the reaction rate constant.
  • In radioactive decay, it describes the probability of decay per unit time: <math>dN = \lambda N dt</math>, where dN is the number of nuclei decayed during the time dt, and N is the quantity of radioactive nuclei.
  • In biology (specifically pharmacokinetics), from MeSH: Half-Life: The time it takes for a substance (drug, radioactive nuclide, or other) to lose half of its pharmacologic, physiologic, or radiologic activity. Year introduced: 1974 (1971).

Decay by two or more processes

Some quantities decay by two processes simultaneously (see Decay by two or more processes). In a fashion similar to the previous section, we can calculate the new total half-life <math>T_{1/2}</math> and we'll find it to be:

<math>T_{1/2} = \frac{\ln 2}{\lambda _1 + \lambda _2} \,</math>

or, in terms of the two half-lives <math>t_1</math> and <math>t_2</math>

<math>T_{1/2} = \frac{t _1 t _2}{t _1 + t_2} \,</math>

i.e., half their harmonic mean.

Derivation

Quantities that are subject to exponential decay are commonly denoted by the symbol <math>N</math>. (This convention suggests a decaying number of discrete items. This interpretation is valid in many, but not all, cases of exponential decay.) If the quantity is denoted by the symbol <math>N</math>, the value of <math>N</math> at a time <math>t</math> is given by the formula:

<math>N(t) = N_0 e^{-\lambda t} \,</math>

where <math>N_0</math> is the initial value of <math>N</math> (at <math>t = 0</math>)

When <math>t = 0</math>, the exponential is equal to 1, and <math>N(t)</math> is equal to <math>N_0</math>. As <math>t</math> approaches infinity, the exponential approaches zero. In particular, there is a time <math>t_{1/2} \,</math> such that

<math>N(t_{1/2}) = N_0\cdot\frac{1}{2}. </math>

Substituting into the formula above, we have

<math>N_0\cdot\frac{1}{2} = N_0 e^{-\lambda t_{1/2}}, \,</math>
<math>e^{-\lambda t_{1/2}} = \frac{1}{2}, \,</math>
<math>- \lambda t_{1/2} = \ln \frac{1}{2} = - \ln{2}, \,</math>
<math>t_{1/2} = \frac{\ln 2}{\lambda}. \,</math>

Experimental determination

The half-life of a process can be determined easily by experiment. In fact, some methods do not require advance knowledge of the law governing the decay rate, be it exponential decay or another pattern.

Most appropriate to validate the concept of half-life for radioactive decay, in particular when dealing with a small number of atoms, is to perform experiments and correct computer simulations. See in [2] how to test the behavior of the last atoms. Validation of physics-math models consists in comparing the model's behavior with experimental observations of real physical systems or valid simulations (physical and/or computer). The references given here describe how to test the validity of the exponential formula for small number of atoms with simple simulations, experiments, and computer code.

In radioactive decay, the exponential model does not apply for a small number of atoms (or a small number of atoms is not within the domain of validity of the formula or equation or table). The DIY experiments use pennies or M&M's candies. [3], [4]. A similar experiment is performed with isotopes of a very short half-life, for example, see Fig 5 in [5]. See how to write a computer program that simulates radioactive decay including the required randomness in [6] and experience the behavior of the last atoms. Of particular note, atoms undergo radioactive decay in whole units, and so after enough half-lives the remaining original quantity becomes an actual zero rather than asymptotically approaching zero as with continuous systems.

See also

References

  1. John Ayto "20th Century Words" (1999) Cambridge University Press.

External links


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