From: David Wells Date: Fri, 21 May 2021 16:23:01 +0000 (-0400) Subject: step-78: Avoid using singular first-person pronouns. X-Git-Tag: v9.3.0-rc1~9^2~3 X-Git-Url: https://gitweb.dealii.org/cgi-bin/gitweb.cgi?a=commitdiff_plain;h=b7cdd9f37337c0ab9e8d44e949faee124b39c083;p=dealii.git step-78: Avoid using singular first-person pronouns. This change makes this tutorial more in line with the common style of the others. --- diff --git a/examples/step-78/doc/intro.dox b/examples/step-78/doc/intro.dox index 38f53274aa..bb323964be 100644 --- a/examples/step-78/doc/intro.dox +++ b/examples/step-78/doc/intro.dox @@ -71,7 +71,7 @@ So, $\Omega=[0,S_\text{max}]$. Second, after truncating the domain, we need to ask what boundary values we should pose at this now finite boundary. To take care of this, we use "put-call" -parity @cite stoll1969relationship. A "pull option" is one in which I am +parity @cite stoll1969relationship. A "pull option" is one in which we are allowed, but not required, to *sell* a stock at price $K$ to someone at a future time $T$. This says @f{align*}{ @@ -88,10 +88,10 @@ $S_\text{max}$. The second complication of the Block-Scholes equation is that we are given a final condition, and not an initial condition. This is because we know what the -option is worth at time $t=T$: If the stock price at $T$ is $SK$, then I can buy my stock at price $K$ via the option +at time $T$ we have $S>K$, then we can buy the stock at price $K$ via the option and immediately sell it again on the market for price $S$, giving me a profit of $S-K$. In other words, $V(S,T)=S-K$ for $S>K$. So, we only know values for $V$ at the *end time* but not the initial time -- in fact, finding diff --git a/examples/step-78/step-78.cc b/examples/step-78/step-78.cc index e56a6ab22b..0b839c561b 100644 --- a/examples/step-78/step-78.cc +++ b/examples/step-78/step-78.cc @@ -69,7 +69,7 @@ namespace BlackScholesSolver // @sect3{Solution Class} // This section creates a class for the known solution when testing using the - // MMS. Here I am using $v(\tau,S) = -\tau^2 -S^2 + 6$ for my solution. We + // MMS. Here we are using $v(\tau,S) = -\tau^2 -S^2 + 6$ for the solution. We // need to include the solution equation and the gradient for the H1 seminorm // calculation. template