List/matrix of coefficients equation (system of equations) - wolfram-mathematica

I try to extract coefficient from equations (system of equations) into list (matrix). I have tried CoefficientList[poly, {var1, var2, ...}] but without success.
This simple example should explain my problem:
Eq1 = a D[U[x1, x2], {x1, 2}] + b D[V[x1, x2], {x2, 2}]
Any advice?
Edit:
Daniel's Lichtblau solution is very clear (thanks you), but what if the equation that looks like this?
Eq1 = a D[U[x1, x2], {x1, 2}] + b D[V[x1, x2], {x2, 2}] + c W[x1, x2]
A simple example can be resolved as follows:
Is there any more elegant solution? (particularly for more complex expressions)
Ps I can't understand why, but this solution gives me the correct result.

Firstly the partial derivatives are represented with Derivative, so the pattern needs to match that. Also, I don't think you want to use CoefficientList as that would accept terms where both your expressions appear. All in all, the following should work:
In[7]:= (Coefficient[Eq1, #] &) /# {Derivative[2, 0][U][x1, x2], Derivative[0, 2][V][x1, x2]}
Out[7]= {a, b}
Here (Coefficient[Eq1, #] &) is an anonymous function that finds the coefficient of the argument, and /# maps it to the list on the right.
HTH

CoefficientArrays is often useful for extracting coefficients to linear systems in some set of variables. In this case we first need to get the list of variables.
dvars = Cases[Eq1, Derivative[__][_][__], -1];
CoefficientArrays returns a result of the form {constants, coefficients}. it uses sparse arrays so I'll convert to explicit lists with Normal.
Normal[CoefficientArrays[Eq1, dvars]]
Out[672]= {0, {b, a}}
Daniel Lichtblau
Wolfram Research

Related

NSolve unable to solve implicit differentiation

I'm trying to solve for the slope with this implicit differentiation problem at x=1, but NSolve is unable to solve it. How can I get around this issue?
eqn[x_, y_] := x*Sin[y] - y*Sin[x] == 2 (*note: bound is -5<=x<=5,-5<=y<=5*)
yPrime = Solve[D[eqn[x, y[x]], x], y'[x]] /. {y[x] -> y,
y'[x] -> y'} // Simplify
{{Derivative[1][y] -> (y Cos[x] - Sin[y])/(x Cos[y] - Sin[x])}}
NSolve[eqn[x, y] /. x -> 1, y] (*this doesn't work*)
NSolve is not really the right tool for the job.
From Wolfram Documentation
If your equations involve only linear functions or polynomials, then
you can use NSolve to get numerical approximations to all the
solutions. However, when your equations involve more complicated
functions, there is in general no systematic procedure for finding all
solutions, even numerically. In such cases, you can use FindRoot to
search for solutions. You have to give FindRoot a place to start its
search.
Since your function is not really polynomial the following works :
FindRoot[eqn/.x->1,{y,-2}]
{y -> -2.7881400978783035` }
which you can plug into yprime.
Picking the starting point is not evident, however making a quick ContourPlot always works:
ContourPlot[x*Sin[y] - y*Sin[x], {x, -5, 5}, {y, -5, 5}, Contours -> {2}]
It shows that your equation is not unique for all x.

Using NIntegrate inside NDSolve

I am trying to numerically solve a partial differential equation, where the inhomogeneous term is an integral of another function. Something like this:
NDSolve[{D[f[x, y], x] == NIntegrate[h[x,y+y2],{y2, x, y}],f[0,y] == 0}, f, {x, 0, 1}, {y,0,1}]
where h[x,y] is a well known function previously defined.
But it seems that Mathematica does not know how to evaluate the integral.
I do not use Mathematica too often, so I am sure there is a simple solution to this.
Could someone tell me what I am doing wrong?
Thanks.
It is not really clear from the question, but I had a similar problem and the solution in my case was to follow the advice from the wolfram forums to put the integral in an extra function and force real input.
So in your case this would be
integral[x_Real,y_Real] := NIntegrate[h[x,y+y2],{y2, x, y}];
NDSolve[{D[f[x, y], x] == integral[x,y], f[0,y] == 0}, f, {x, 0, 1}, {y,0,1}]

How to fix syntax to nest functions in mathematica?

I wanted to try to make a rule to do norm squared integrals. For example, instead of the following:
Integrate[ Conjugate[Exp[-\[Beta] Abs[x]]] Exp[-\[Beta] Abs[x]],
{x, -Infinity, Infinity}]
I tried creating a function to do so, but require the function to take a function:
Clear[complexNorm, g, x]
complexNorm[ g_[ x_ ] ] := Integrate[ Conjugate[g[x]] * g[x],
{x, -Infinity, Infinity}]
v = complexNorm[ Exp[ - \[Beta] Abs[x]]] // Trace
Mathematica doesn't have any trouble doing the first integral, but the final result of the trace when my helper function is used, shows just:
complexNorm[E^(-\[Beta] Abs[x])]
with no evaluation of the desired integral?
The syntax closely follows an example I found in http://www.mathprogramming-intro.org/download/MathProgrammingIntro.pdf [page 155], but it doesn't work for me.
The reason why your expression doesn't evaluate to what you expect is because complexNorm is expecting a pattern of the form f_[x_]. It returned what you put in because it couldn't pattern match what you gave it. If you still want to use your function, you can modify it to the following:
complexNorm[g_] := Integrate[ Conjugate[g] * g, {x, -Infinity, Infinity}]
Notice that you're just matching with anything now. Then, you just call it as complexNorm[expr]. This requires expr to have x in it somewhere though, or you'll get all kinds of funny business.
Also, can't you just use Abs[x]^2 for the norm squared? Abs[x] usually gives you a result of the form Sqrt[Conjugate[x] x].
That way you can just write:
complexNorm[g_] := Integrate[Abs[g]^2, {x, -Infinity, Infinity}]
Since you're doing quantum mechanics, you may find the following some nice syntatic sugar to use:
\[LeftAngleBracket] f_ \[RightAngleBracket] :=
Integrate[Abs[f]^2, {x, -\[Infinity], \[Infinity]}]
That way you can write your expectation values exactly as you would expect them.

Getting Indices from Mathematica's Select

How can I get the indices of a selection rather than the values. I.e.
list={3->4, 5->2, 1->1, 5->8, 3->2};
Select[list, #[[1]]==5&]; (* returns {5->2, 5->8} *)
I would like something like
SelectIndices[list, #[[1]]==5&]; (* returns {2, 4} *)
EDIT: I found an answer to the immediate question above (see below), but what about sorting. Say I want to sort a list but rather than returning the sorted list, I want to return the indices in the order of the sorted list?
Ok, well, I figured out a way to do this. Mathematica uses such a different vocabulary that searching the documentation still is generally unfruitful for me (I had been searching for things like, "Element index from Mathematica Select", to no avail.)
Anyway, this seems to be the way to do this:
Position[list, 5->_];
I guess its time to read up on patterns in Mathematica.
WRT to the question remaining after your edit: How about Ordering?
In[26]:= Ordering[{c, x, b, z, h}]
Out[26]= {3, 1, 5, 2, 4}
In[28]:= {c, x, b, z, h}[[Ordering[{c, x, b, z, h}]]]
Out[28]= {b, c, h, x, z}
In[27]:= Sort[{c, x, b, z, h}]
Out[27]= {b, c, h, x, z}
I think you want Ordering:
Sort[list, #[[1]] == 5 &]
Ordering[list, All, #[[1]] == 5 &]
(*
{5->2,5->8,3->2,1->1,3->4}
{2,4,5,3,1}
*)
Sorry, I had read your question to fast.
I think your second question is about how to sort the list according to the values of the rules. The simplest way that come to mind is by using a compare function. then simply use your solution to retrieve the indices:
comp[_ -> x_, a_ -> y_] := x < y;
Position[Sort[list, comp], 5 -> _]
Hope this helps!
Without sorting or otherwise altering the list, do this:
SelectIndex[list_, fn_] := Module[{x},
x = Reap[For[i = 1, i < Length[list], i++, If[fn[list[[i]]], Sow[i], Null];]];
If[x[[1]] == {}, {}, x[[2, 1]]]]
list={ {"foo",1}, {"bar",2}};
SelectIndex[list, StringMatchQ[ #[[1]], "foo*"] &]
You can use that to extract records from a database
Lookup[list_, query_, column_: 1, resultColumns_: All] := list[[SelectIndex[list, StringMatchQ[query, #[[column]]] &], resultColumns]]
Lookup(list,"foo")

Mathematica - selectively gathering nodes in a tree

I have a tree (expression) on which I want to gather only certain types of nodes - those that follow a certain pattern. I have a simplified example below:
A = {{{{},{0.3,0.3}},{0.2,0.2}},{0.1,0.1}};
TreeForm[A, PlotRangePadding->0]
Cases[A, {x_Real, y_Real}, Infinity]
The output:
Is this a good way to do it?
If instead of {x_, y_}, if I wanted to look for {{x1_, y1_}, {x2_, y_2}}, how can I exclude expressions like {x_, y_}, which also match?
Regards
EDIT (14/07/2011)
I have found that using a head other than List will greatly aid in finding such sub-expressions without collisions.
For example, reformulating the above:
A = {{{{}, pt[0.3, 0.3]}, pt[0.2, 0.2]}, pt[0.1, 0.1]};
List ### Cases[A, _pt, Infinity]
Output:
{{0.3,0.3},{0.2,0.2},{0.1,0.1}}
About the second part of your question, ie, selecting {{a,b},{c,d}}, how about
b = {{{{}, {0.3, 0.3}}, {0.2, 0.2}}, {{0.1, 0.1}, {0.3, 0.4}}};
TreeForm[b]
Cases[b, {{a_, b_}, {c_, d_}} /; (And ## NumericQ /# {a, b, c, d}), Infinity]
(so that they do not have to be Real but any Numeric will do)?
Here is an alternative to the form acl used, that I find more readable.
b = {{{{}, {0.3, 0.3}}, {0.2, 0.2}}, {{0.1, 0.1}, {0.3, 0.4}}};
With[{p = _?NumericQ}, Cases[b, {{p, p}, {p, p}}, -1] ]

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