Not homework, just trying to understand a statement in the book. On page 158 in Fisher, the following statement is made:
In these applications of the Residue Theorem, we often need to estimate the magnitude of the line integral of e^{iz} over the semicircle = Re^{i\theta}, \; 0 \le \theta \le...
Not hw, just reading the textbook. In section 1.5, page 50, the book goes through an explanation that \sin(x+iy) is one-to-one if 0 \le x < \pi/2 and y \ge 0. At one point the book states that for 1 = -e^{-i x_1}\,e^{-i x_2}\,e^{y_1}\,e^{y_2} the absolute value of the left side is 1 and that...
The page is attached. The portfolio is hypothetical whose returns follow a normal distribution with mean 5.8% and SD of 6%. What I mean by given is that for a specified mean, SD, and number of periods, what is the distribution of returns after the n periods assuming mean and SD are constant...
I saw an interesting table in Asset Allocation (Roger Gibson) showing the distribution of portfolio annualized returns for a hypothetical portfolio with mean of 5.8% and standard deviation of 6%. It shows the return percentiles for various holding periods from 1 to 25 years. Can this...
Really? So this means I can take any of the logic Rules and just replace anything with its negative and vice versa and it is still valid? Example of M. Ponens ##[p \land (p \implies q] \implies q## can be written as ##[\neg p \land (\neg p \implies \neg q] \implies \neg q##? The book makes no...
Book shows a proof where a conclusion is reached of: ##\neg r##. The next step says ##\neg r \lor \neg s## using the rule of disjunctive amplification. The rule of disjunctive amplification as I know it is ##p \implies p \lor q##. I don't see how from this you can also say ##\neg p \implies...
Not homework, just working odd numbered problems in the book.
Sue has 24 each of n different colored beads. If 20 beads are selected (with repetition allowed) what is the value of n if there are 230,230 possible combinations. I view this as a problem of number of integer solutions to a linear...