17.02.2014 Views

Mathematical Methods for Physicists: A concise introduction - Site Map

Mathematical Methods for Physicists: A concise introduction - Site Map

Mathematical Methods for Physicists: A concise introduction - Site Map

SHOW MORE
SHOW LESS

Create successful ePaper yourself

Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.

FUNDAMENTAL PROBABILITY THEOREMS<br />

Now …n 1 ‡ n 3 †=N is P…A† by de®nition. After A has occurred, the only possible<br />

cases are the …n 1 ‡ n 3 † cases favorable to A. Of these, there are n 3 cases favorable<br />

to B, the quotient n 3 =…n 1 ‡ n 3 † represents the probability of B when it is known<br />

that A occurred, PA…B†. Thus we have<br />

P…AB† ˆP…A†P A …B†:<br />

…14:9†<br />

This is often known as the theorem of joint (or compound) probability. In words,<br />

the joint probability (or the compound probability) of A and B is the product of<br />

the probability that A will occur times the probability that B will occur if A does.<br />

P A …B† is called the conditional probability of B given A (that is, given that A has<br />

occurred).<br />

To illustrate the theorem of joint probability (14.9), we consider the probability<br />

of drawing two kings in succession from a shu‚ed deck of 52 playing cards. The<br />

probability of drawing a king on the ®rst draw is 4/52. After the ®rst king has<br />

been drawn, the probability of drawing another king from the remaining 51 cards<br />

is 3/51, so that the probability of two kings is<br />

4<br />

52 3<br />

51 ˆ 1<br />

221 :<br />

If the events A and B are independent, that is, the in<strong>for</strong>mation that A has<br />

occurred does not in¯uence the probability of B, then P A …B† ˆP…B† and the<br />

joint probability takes the <strong>for</strong>m<br />

P…AB† ˆP…A†P…B†; <strong>for</strong> independent events:<br />

…14:10†<br />

As a simple example, let us toss a coin and a die, and let A be the event `head<br />

shows' and B is the event `4 shows.' These events are independent, and hence the<br />

probability that 4 and a head both show is<br />

P…AB† ˆP…A†P…B† ˆ…1=2†…1=6† ˆ1=12:<br />

Theorem (14.10) can be easily extended to any number of independent events<br />

A; B; C; ...:<br />

Besides the theorem of joint probability, there is a second fundamental relationship,<br />

known as the theorem of total probability. To present this theorem, let us go<br />

back to Eq. (14.4) and rewrite it in a slightly di€erent <strong>for</strong>m<br />

P…A ‡ B† ˆn1 ‡ n 2 ‡ n 3<br />

N<br />

ˆ n1 ‡ n 2 ‡ 2n 3 n 3<br />

N<br />

ˆ …n 1 ‡ n 3 †‡…n 2 ‡ n 3 †n 3<br />

N<br />

ˆ n1 ‡ n 3<br />

N ‡ n 2 ‡ n 3<br />

N n 3<br />

N ˆ P…A†‡P…B†P…AB†;<br />

P…A ‡ B† ˆP…A†‡P…B†P…AB†:<br />

…14:11†<br />

487

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!