Here's a simple example. Suppose we want to find the off-diagonal matrix of m:
m={{1,2},{3,4}}
This can be solved fairly simply by extracting a list of the diagonal elements, re-creating the diagonal matrix from these, and removing them from the full matrix to get the off-diagonal elements:
m - DiagonalMatrix[Diagonal[m]]
to get
{{0,2},{3,0}}
Now, this was a fairly simple solution to the given problem, but what I'm wondering is if there is a way to write something akin to
(Identity - DiagonalMatrix@Diagonal)[m]
To get the same result. In this simple example, not much would be gained by doing this, but I just thought it could be interesting in more complicated problems and help make the code resemble more closely the underlying mathematics in some cases.
# - DiagonalMatrix[Diagonal[#]] &[m]
? Of course you can addIdentity[#]
at the beginning. $\endgroup$Composition
for chaining long functions. It will greatly improve the clarity of your code. $\endgroup$Through
too, e.g.Through[(f + g + h)[x]]
givesf[x] + g[x] + h[x]
. $\endgroup$@
doesn't denote function composition, but function application (useComposition
for function composition) and becauseThrough
only goes in one level while here we actually have an expression of the form(a + (-1)*b)
, not of a simpler forma-b
. I'm afraid there's no easy and simple solution to your problem other than building pure functions as in(Identity[#] - DiagonalMatrix@Diagonal[#]) &[m]
. $\endgroup$operatorApply[f_[x__]] := Replace[f, s_Symbol :> s[x], {0, Infinity}, Heads -> False]
. See where this goes wrong:operatorApply[(Sin + 1)[x]]
transforms toSin[x]+1
, all is fine. Now what aboutoperatorApply[(Sin + Pi)[x]]
? You getPi[x] + Sin[x]
, wrong! This is probably why it's not a built-in function. I don't see a good way around this problem, i.e. it's not a problem with my implementation but an inherent problem to the idea: it's not possible to distinguish functions from other symbols, e.g. constants. $\endgroup$