Maple Questions and Posts

These are Posts and Questions associated with the product, Maple

Hi
It's been years since expressions like A %* B %+ C involving inert arithmetic operators used in infix form are correctly understood (parsed) when written on a 1D-Math input line. The idea is simple: have the operators %. %*, %+, %-, %^, %/ work on input as infix operators the same way their active forms: ., *, +, -, ^, / do. This useful functionality, however, remained elusive when using 2D-Math input notation, so one would have to resort to using the functional form of the operators. E.g., input the above as `%+`(`%*`(A, B) ,C), which for me is really ugly. Besides being a bit demoralizing: we do all this fuzz about how great computer algebra and 2D-Math input notation is, and then input things in that way …

So this is to mention that this elusive functionality of inert arithmetic operators used in infix form within a 2D-Math input line now works. The novelty is present in the latest Maplesoft Physics Updates for Maple 2023, which is version 1490. As usual, to install the Updates open a Maple worksheet and input Physics:-Version(latest).

Here is an image (worksheet at the end) showing the new thing


The implementation is pretty new; reports of anything related to these inert operators not displayed/working as you'd expect are much appreciated. 


Download Inert_arithmetic_operators_in_2D_Math.mw

Edgardo S. Cheb-Terrab
Physics, Differential Equations and Mathematical Functions, Maplesoft

Some work, while others don't work. 
 

restart;

`assuming`([is(1/(sqrt(n*(n+1))*(sqrt(n)+sqrt(n+1))) = 1/sqrt(n)-1/sqrt(n+1))], [n::posint])

true

(1)

sum(1/sqrt(n)-1/sqrt(n+1), n = 1 .. infinity)

1

(2)

sum(1/(sqrt(n*(n+1))*(sqrt(n)+sqrt(n+1))), n = 1 .. infinity)

sum(1/((n*(n+1))^(1/2)*(n^(1/2)+(n+1)^(1/2))), n = 1 .. infinity)

(3)

`assuming`([sum(binomial(3*n, n)*x^n/(2*n+1), n = 0 .. infinity)], [abs(x) <= 4/27])

(2/3)*3^(1/2)*sin((1/3)*arcsin((3/2)*3^(1/2)*x^(1/2)))/x^(1/2)

(4)

`assuming`([eval(binomial(3*n, n)*x^n/(2*n+1), n = 0)+sum(binomial(3*n, n)*x^n/(2*n+1), n = 1 .. infinity, parametric)], [abs(x) <= 4/27])

1+x*hypergeom([1, 4/3, 5/3], [2, 5/2], (27/4)*x)

(5)

simplify(convert(1+x*hypergeom([1, 4/3, 5/3], [2, 5/2], (27/4)*x)-hypergeom([1/3, 2/3], [3/2], (27/4)*x), elementary), symbolic)

(1/3)*(3*x^(1/2)+3*x^(3/2)*hypergeom([1, 4/3, 5/3], [2, 5/2], (27/4)*x)-2*3^(1/2)*sin((1/3)*arcsin((3/2)*3^(1/2)*x^(1/2))))/x^(1/2)

(6)

plot((1/3)*(3*x^(1/2)+3*x^(3/2)*hypergeom([1, 4/3, 5/3], [2, 5/2], (27/4)*x)-2*3^(1/2)*sin((1/3)*arcsin((3/2)*3^(1/2)*x^(1/2))))/x^(1/2), x = -4/27 .. 4/27)

 

verify(0, (1/3)*(3*x^(1/2)+3*x^(3/2)*hypergeom([1, 4/3, 5/3], [2, 5/2], (27/4)*x)-2*3^(1/2)*sin((1/3)*arcsin((3/2)*3^(1/2)*x^(1/2))))/x^(1/2), 'equal')

FAIL

(7)

NULL


 

Download unable_to_sum.mw

How to explain this behavior?
I have read the help page, but I can not get the point.

Please, is there anyway I can solve this problem with a nice output? The solution I got is complicated. Please, helper is need

f := exp(-beta*x)*x^(5-alpha)

int(f, x)

beta^(alpha-6)*(-x^(-alpha)*beta^(-alpha)*(alpha^4-14*alpha^3+71*alpha^2-154*alpha+120)*(alpha-6)*(beta*x)^((1/2)*alpha)*exp(-(1/2)*beta*x)*WhittakerM(-(1/2)*alpha, -(1/2)*alpha+1/2, beta*x)/(-alpha+6)+x^(-alpha)*beta^(-alpha)*(beta^4*x^4-alpha*beta^3*x^3+alpha^2*beta^2*x^2+5*beta^3*x^3-alpha^3*beta*x-9*alpha*beta^2*x^2+alpha^4+12*alpha^2*beta*x+20*beta^2*x^2-14*alpha^3-47*alpha*beta*x+71*alpha^2+60*beta*x-154*alpha+120)*(alpha-6)*(beta*x)^((1/2)*alpha)*exp(-(1/2)*beta*x)*WhittakerM(-(1/2)*alpha+1, -(1/2)*alpha+1/2, beta*x)/(-alpha+6))

How to write a program that obtains the value of the function by giving different values
Like the example below:

 

I rephrased my previous question in a more synthetic form
(there was probably a lot in it that I thought was important for understanding the problem, but I realized afterwards that it only added confusion).

The true question is yellow-highlighted in the code below

restart

# The result below seems natural: we were taught in school that exp 
# being a bijective function we can get rid of it in the equality to
# solve and write simply x=Pi.

x = solve(exp(x)=exp(Pi), x)

x = Pi

(1)

# But the solution method solve uses is not that natural (and I
# don't really understand it).
# infolevel[solve] := 10:
# x = solve(exp(x)=exp(Pi), x);

# Replacing now exp by some undefined function f produces a
# kind of "no-solution" answer: this seems quite normal because
# not knowing the properties of f one cannot simply get rid of it.

infolevel[solve] := 0:
x = solve(f(x)=f(Pi), x)

x = RootOf(f(_Z)-f(Pi))

(2)

# Finally replace f by a bijective function with no analytic expression.

s = solve(erf(x)=erf(Pi), x) assuming x::real

s = RootOf(erf(_Z)-erf(Pi))

(3)

# It would have seem reasonable for Maple to answer x=Pi, or
# at least it is what I would have done given the properties
# of the erf function.
#
# How can I "force" Maple to "simplify" it's RootOf result to get
# x=Pi?


Download solve_erf.mw

For those interested in the motivations of this quastion, see here Where_does_the_question_come_from.mw

The original question is here Original_question.pdf

How is the expansion of trigonometric functions in Maple like the following function?

that in Kip Thorne's book Maple is mentioned through out ?

Kip Thorne and Roger Blandford : "Modern Classical Physics: Optics, Fluids, Plasmas, Elasticity, Relativity, and Statistical Physics"

also, courtesy of Caltech in Chapter 24

restart;
alias(u = u(x, z, t), f = f(x, z, t));
                              u, f
u := (f+sqrt(R))*exp(I*R*x);
                    /     (1/2)\           
                    \f + R     / exp(I R x)
pde1 := I*(diff(u, z))+diff(u, x, x)+diff(u, t, t)+u*abs(u)*abs(u)-(u*abs(u)*abs(u))*abs(u)*abs(u);
    / d   \              / d  / d   \\           
  I |--- f| exp(I R x) + |--- |--- f|| exp(I R x)
    \ dz  /              \ dx \ dx  //           

           / d   \                /     (1/2)\  2           
     + 2 I |--- f| R exp(I R x) - \f + R     / R  exp(I R x)
           \ dx  /                                          

       / d  / d   \\           
     + |--- |--- f|| exp(I R x)
       \ dt \ dt  //           

                                                            2
       /     (1/2)\                           2 |     (1/2)| 
     + \f + R     / exp(I R x) (exp(-Im(R x)))  |f + R     | 

                                                            4
       /     (1/2)\                           4 |     (1/2)| 
     - \f + R     / exp(I R x) (exp(-Im(R x)))  |f + R     | 

simplify(%);
         / d   \              / d  / d   \\           
       I |--- f| exp(I R x) + |--- |--- f|| exp(I R x)
         \ dz  /              \ dx \ dx  //           

                / d   \                 2             
          + 2 I |--- f| R exp(I R x) - R  exp(I R x) f
                \ dx  /                               

             (5/2)              / d  / d   \\           
          - R      exp(I R x) + |--- |--- f|| exp(I R x)
                                \ dt \ dt  //           

                                               2  
                                   |     (1/2)|   
          + exp(I R x - 2 Im(R x)) |f + R     |  f

                                               2       
                                   |     (1/2)|   (1/2)
          + exp(I R x - 2 Im(R x)) |f + R     |  R     

                                               4  
                                   |     (1/2)|   
          - exp(I R x - 4 Im(R x)) |f + R     |  f

                                               4       
                                   |     (1/2)|   (1/2)
          - exp(I R x - 4 Im(R x)) |f + R     |  R     
collect(%, exp(I*R*x));
  /  (5/2)       / d   \      2       / d   \   / d  / d   \\
  |-R      + 2 I |--- f| R - R  f + I |--- f| + |--- |--- f||
  \              \ dx  /              \ dz  /   \ dx \ dx  //

       / d  / d   \\\           
     + |--- |--- f||| exp(I R x)
       \ dt \ dt  ///           

                                          2  
                              |     (1/2)|   
     + exp(I R x - 2 Im(R x)) |f + R     |  f

                                          2       
                              |     (1/2)|   (1/2)
     + exp(I R x - 2 Im(R x)) |f + R     |  R     

                                          4  
                              |     (1/2)|   
     - exp(I R x - 4 Im(R x)) |f + R     |  f

                                          4       
                              |     (1/2)|   (1/2)
     - exp(I R x - 4 Im(R x)) |f + R     |  R     
 

Hi Dears

I need some random zero-dimensional binomial ideals (20 ideals or more) with two, three, or four ... generators with 4 variables atmost. Then I want to regenerate each of them such that some of their generators are not binomial and the obtained ideals are equal to the first corresponding original binomial ideals. How can do I this automatically?

As a simple example let I be an ideal generated by {x-1, y-1, z-1} which is zero-dim. We can obtain J=<x-z, x+z-2, y+z-2> that is equal to I.

Thank you in advance.

Dear all

I have the following code that  compute a parameter labeled by A. 

I used some input vectors and my aim is to get A <1 

A_less_than_one.mw

I tried to change some values of input vectors but unfortunattely I can not have A<1 

Maybe I have a mistake in the code or something else 

Thank you for your help 

I have a very simple procedure that I wrote to get information for an inequality using data from two lists, upon which I can create a pointplot . Now I know people will see what I have done and probably cringe, and believe me I do as well. I know it is not efficient and there is probably a numerous number of ways to do it better but my procedural skills for Maple are lacking. 

From my file you will see what I am attempting to do,nonetheless I will mention it here. I have two lists X,W. for each value in I want to fine the value in W that yields F(X,L)<G(X,L) where F(X,L) is a complicated integral that I have to evalute numerically, I have tried using unapply as outline in https://www.mapleprimes.com/questions/229070-How-Can-I-Speed-Up-This-Numerical-Integral it however only made my problem worse. For small lists it seems to be reasonable but for larger precision it is not the useful. I have looked through the ?do help page and some other resources but to no avail. From what I have seen though I believe I should be using the until command in do but I can't figure it out with having two lists. 

Any help,tips or tricks will be greatly appreciated.

NumericScale.mw

Here is a symmetric matrix with three real parameters (`k__1`, `k__2`, and `k__3`).

mm:=<0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0\
,0,0,0,0,0,0,0,0,0|0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0\
,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0|0,0,1,0,0,0,0,0,0,0,0,0,0\
,k__3-1/2,0,k__3-1/2,0,0,0,0,0,0,0,0,-1/2,0,1-2*k__3,0,-1/\
2,0,0,0,0,0,0,0|0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,\
0,0,0,0,0,0,0,0,0,0,0,0,0,0,0|0,0,0,0,0,0,0,0,0,0,0,0,0,0,\
0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0|0,0,0,0,0,1,0,\
k__3,0,-1/2,0,0,0,0,0,0,0,0,0,k__3,0,-2*k__3,0,0,0,0,0,0,0\
,0,-1/2,0,0,0,0,0|0,0,0,0,0,0,-2*k__3,0,k__3-1,0,-1/2,0,0,\
0,0,0,0,0,0,0,k__3,0,1-2*k__3,0,0,0,0,0,0,0,0,k__1,0,0,0,0\
|0,0,0,0,0,k__3,0,1-4*k__3,0,k__3-1,0,0,0,0,0,0,0,0,0,(1-k\
__2)/2,0,k__3-1/2,0,0,0,0,0,0,0,0,1-2*k__3,0,0,0,0,0|0,0,0\
,0,0,0,k__3-1,0,1-4*k__3,0,k__3,0,0,0,0,0,0,0,0,0,k__3-1/2\
,0,(1-k__2)/2,0,0,0,0,0,0,0,0,1-2*k__3,0,0,0,0|0,0,0,0,0,-\
1/2,0,k__3-1,0,-2*k__3,0,0,0,0,0,0,0,0,0,1-2*k__3,0,k__3,0\
,0,0,0,0,0,0,0,k__1,0,0,0,0,0|0,0,0,0,0,0,-1/2,0,k__3,0,1,\
0,0,0,0,0,0,0,0,0,-2*k__3,0,k__3,0,0,0,0,0,0,0,0,-1/2,0,0,\
0,0|0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,\
0,0,0,0,0,0,0,0,0|0,0,0,0,0,0,0,0,0,0,0,0,-2*k__3,0,k__3,0\
,k__1,0,0,0,0,0,0,0,0,k__3-1,0,1-2*k__3,0,0,0,0,0,0,-1/2,0\
|0,0,k__3-1/2,0,0,0,0,0,0,0,0,0,0,k__2,0,-k__1+5*k__3-1/2,\
0,0,0,0,0,0,0,0,k__3-1/2,0,-k__1+5*k__3-1/2,0,1-2*k__3,0,0\
,0,0,0,0,0|0,0,0,0,0,0,0,0,0,0,0,0,k__3,0,1-2*k__3,0,k__3,\
0,0,0,0,0,0,0,0,k__3-1/2,0,k__3-1/2,0,0,0,0,0,0,-2*k__3,0|\
0,0,k__3-1/2,0,0,0,0,0,0,0,0,0,0,-k__1+5*k__3-1/2,0,k__2,0\
,0,0,0,0,0,0,0,1-2*k__3,0,-k__1+5*k__3-1/2,0,k__3-1/2,0,0,\
0,0,0,0,0|0,0,0,0,0,0,0,0,0,0,0,0,k__1,0,k__3,0,-2*k__3,0,\
0,0,0,0,0,0,0,1-2*k__3,0,k__3-1,0,0,0,0,0,0,-1/2,0|0,0,0,0\
,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0\
,0,0,0|0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0\
,0,0,0,0,0,0,0,0,0,0|0,0,0,0,0,k__3,0,(1-k__2)/2,0,1-2*k__\
3,0,0,0,0,0,0,0,0,0,1-4*k__3,0,k__3-1/2,0,0,0,0,0,0,0,0,k_\
_3-1,0,0,0,0,0|0,0,0,0,0,0,k__3,0,k__3-1/2,0,-2*k__3,0,0,0\
,0,0,0,0,0,0,1-2*k__3,0,k__3-1/2,0,0,0,0,0,0,0,0,k__3,0,0,\
0,0|0,0,0,0,0,-2*k__3,0,k__3-1/2,0,k__3,0,0,0,0,0,0,0,0,0,\
k__3-1/2,0,1-2*k__3,0,0,0,0,0,0,0,0,k__3,0,0,0,0,0|0,0,0,0\
,0,0,1-2*k__3,0,(1-k__2)/2,0,k__3,0,0,0,0,0,0,0,0,0,k__3-1\
/2,0,1-4*k__3,0,0,0,0,0,0,0,0,k__3-1,0,0,0,0|0,0,0,0,0,0,0\
,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0\
|0,0,-1/2,0,0,0,0,0,0,0,0,0,0,k__3-1/2,0,1-2*k__3,0,0,0,0,\
0,0,0,0,1,0,k__3-1/2,0,-1/2,0,0,0,0,0,0,0|0,0,0,0,0,0,0,0,\
0,0,0,0,k__3-1,0,k__3-1/2,0,1-2*k__3,0,0,0,0,0,0,0,0,1-4*k\
__3,0,(1-k__2)/2,0,0,0,0,0,0,k__3,0|0,0,1-2*k__3,0,0,0,0,0\
,0,0,0,0,0,-k__1+5*k__3-1/2,0,-k__1+5*k__3-1/2,0,0,0,0,0,0\
,0,0,k__3-1/2,0,k__2,0,k__3-1/2,0,0,0,0,0,0,0|0,0,0,0,0,0,\
0,0,0,0,0,0,1-2*k__3,0,k__3-1/2,0,k__3-1,0,0,0,0,0,0,0,0,(\
1-k__2)/2,0,1-4*k__3,0,0,0,0,0,0,k__3,0|0,0,-1/2,0,0,0,0,0\
,0,0,0,0,0,1-2*k__3,0,k__3-1/2,0,0,0,0,0,0,0,0,-1/2,0,k__3\
-1/2,0,1,0,0,0,0,0,0,0|0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0\
,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0|0,0,0,0,0,-1/2,0,1-2*\
k__3,0,k__1,0,0,0,0,0,0,0,0,0,k__3-1,0,k__3,0,0,0,0,0,0,0,\
0,-2*k__3,0,0,0,0,0|0,0,0,0,0,0,k__1,0,1-2*k__3,0,-1/2,0,0\
,0,0,0,0,0,0,0,k__3,0,k__3-1,0,0,0,0,0,0,0,0,-2*k__3,0,0,0\
,0|0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0\
,0,0,0,0,0,0,0,0|0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0\
,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0|0,0,0,0,0,0,0,0,0,0,0,0,-1/\
2,0,-2*k__3,0,-1/2,0,0,0,0,0,0,0,0,k__3,0,k__3,0,0,0,0,0,0\
,1,0|0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0>#assuming'real':
cc:={evalindets}(LinearAlgebra:-IsDefinite(mm,query='positive_semidefinite'),`and`,op):

As the title says, I hope to find some values satisfying andseq('cc') (so `mm` becomes positive semidefinite). Unfortunately, these don't work: 

# SMTLIB:-Satisfy(cc);
Optimization:-Maximize(0, cc, initialpoint = eval({k__ || (1 .. 3)} =~ 'rand(-2e1 .. 2e1)'()));
Error, (in Optimization:-NLPSolve) no feasible point found for the nonlinear constraints
timelimit(1e2, RealDomain:-solve(cc, [k__ || (1 .. 3)](*, 'maxsols' = 1*)));
Error, (in RegularChains:-SemiAlgebraicSetTools:-CylindricalAlgebraicDecompose) time expired

 Is there a way to do so as accurately (and precisely) as possible?

 

Hi

Is there any command to compute the Gauss-Jordan form and the Inverse of a Matrix simultaneously?

Thank you in advance

Sincerely

Maple introduced "Copy as LaTeX" a few versions ago and I have used this feature exensively when it suddenly stopped working.

After som experiments I found the root cause and easy (but irritating) workaround for OSX

Problem:

"Copy as LaTeX" suddenly stops working ("Copy as MathML" still works fine)

Cause:

This problem appears if in “Display Setting”-tab in settings dialogue the “Input display” is set to “Maple Notation

In that case all attempts on “Copy as LaTeX” will be a null-function and not move anything at all into the copy buffer.

The “Copy as MathML” is not affected by this in the same way.

I have confirmed this on OSX in Maple versions 2022, 2023, and 2024

Workaround:

Adjusting “Display Setting”-tab in settings dialogue so that the “Input display” is set to “2-D Math” and “Apply Globally” makes it work again.

A bit annoying as a prefer the maple notation input and I cannot have this setting if I want the copy to latex to work.

Note:

in OSX this can also be fixed by removing the Maple preferences file and letting Maple restore it.

~/Library/Preferences/Maple/2023/Maple Preferences

Edit: Added 2024 as affected version.

Since I began to use Maple for teaching back in 2014 (now on 2023 version), the following happens to some students. 

While they are in math mode, the Maple engine suddenly stops being unable to do anything (even 2+2). Only way to solve this is to start a new document or restart Maple. I have seen this issue on both Mac and PC version. 

So my question is what causes this? 

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