Feeds:
Posts
Comments

Posts Tagged ‘Free’


Just by playing around with CADABRA, I found out the existence of a super-useful LaTeX package, called breqn, which allows to break long equations at the edge of the page… like the wraping feature of most text editors.

However, when one manipulates really long expressions, I’d like to break these long equations through the page. I’m still looking for this feature… in that case I can improve even more the behaviour of cadabra‘s notebook, when compiling it to LaTeX.

Any suggestions???

Cheers!

Advertisements

Read Full Post »


If you have programmed in Python, perhaps you would know IPython.

IPython is an interactive shell for python programming.

Installing IPython

In the terminal (Ctrl+Alt+T), run the command line

$ sudo apt-get install -y ipython ipython-notebook

and after entering your sudo password, IPython will be installed.

Command to install IPython

Command to install IPython

Running IPython

In the terminal, launch the command

$ ipython
Command to Call the Ipython session

Command to Call the Ipython session

and you will have you session running.

Initial Ipython session

Initial Ipython session

More about IPython in a next post!!! (specially about the notebook) šŸ˜‰

Cheers, and enjoy life!

Read Full Post »


Noticia: AQUI

Read Full Post »


Sage beginner’s guide is a book by Ā Craig Finch, published recently by PACKT publishing.

After spending two weeks looking at different aspects of the book, I can say with property that this is an excellent book, an I’ll recommend it for beginners to medium experienced SAGE users.

Since this is the first book I review, and also the first I own from this publisher, I’d say that its format is quite understandable, and one might learn a lot by following examples… and then, just then, the details are explained. I really love that feature of the writing.

The first chapter, called What can we do with Sage?, shows in about 20 pages some powerful tools available in Sage, from symbolic calculation, linear algebra, ODE’s, to plotting functions in 2D and 3D… even fitting of curves. Ā I’ll say this is an impressive chapter, and it’s just the start point. Nonetheless, as in any book, one might notice that in some examples the graphics do not correspond to the code, but when you try the code yourself, you get the right ones.

The chapter about Installing Sage, is written in detail, and explain how to install the software in the three major operative systems: Windows, X OS, and Linux. Of course, due to the unstoppable develop of open source software, there’s a delay in the version shown in the book, however, the steps to follow are the same. A nice thing is that it’s explained how to compile the source for multi-core systems.

Getting Started with Sage, shows a huge amount of small tricks, I mean… I’ve been using Sage for about one a half year, and had no idea of plenty of the tricks explained in this chapter. Awesome!!!

All aspects of Sage are exploited, command line, notebook, different cells in the notebook, all the different types of variablesĀ available… and their operations. Functions and even a quick introduction to object oriented programming.

Another useful chapter of the book is the one where some differences (and similarities) between Sage and Python are explained. As a example, the use of commands like range, xrange or srange.

Chapters 5 to 8 show with plenty examples andĀ incredibleĀ detail uses of Sage in linear algebra, visualizationĀ (plotting), symbolic and numerical calculation. Of course, there is no way I can explain how vast the content is, but include:

  • Simplifications in symbolic calculation,
  • Manipulation and analysis of data,
  • Integral transforms,
  • Differential equations,
  • Series,
  • Differential and integral calculus,
  • Numerical calculus, et cetera.

Finally, the last two chapters are more a complement for intermediate users, specially with programming knowledge. They cover python programming, say functions, classes and modules, and its uses, and more advanced features of Sage as \LaTeX integration, optimization of numerical calculation (with NumPy and Cython), and an introduction to the interactive mode.

Thus, In a scale from zero to ten I’d give a 9/10 to this book, because managing such a variety of tricks and functions are worth it.

 

You can check out the book atĀ http://www.packtpub.com/sage-beginners-guide/book

Read Full Post »


In a previous post we discuss the definition of the coordinated patch on a manifold, how to define differential forms, wedge them or calculate their exterior derivative… even simplify’em.

This time a zero form will be defined and a list of forms will be created… So, let’s begin!

Define a 0-form

Once created the coordinated patch and the differential forms algebra

sage: reset()
sage: var('t,x,y,z')
sage: U = CoordinatePatch((t,x,y,z))
sage: Omega = DifferentialForms(U)

A 0-form is defined as an element of \Omega^0(U), but the value of the 0-form is given inside the declaration command,

sage: A = DifferentialForm(Omega, 0, exp(x*y))

I tried addition, multiplication, wedge product and exterior differentiation on 0-forms and they worked!

Of course you can combine them with forms of different degrees.

New method of defining a form

I wrote to Joris this morning… but before he was able to answer, from the documentation of the differential form package.

When one calls the generators of the differential form,

sage: Omega.gen(1)
dx

and the result is a differential form… Thus, one can assign a form as follow,

sage: A = sin(x)* Omega.gen(2)
sage: B = cos(y) * Omega.gen(0)
sage: C = sin(z) *Omega.gen(1)
sage: D = cos(y) * Omega.gen(2)

And this forms can be wedged, differentiated, et cetera. šŸ™‚

List of forms

Finally, after discovering the above behavior I tried the following, a list of differential forms ;-), for example,

sage: pro = matrix([[A, B], [C, D]])
sage: for i in range(2):
...       for j in range(2):
...           show(pro[i,j].diff())

returns
cos(x)dx\wedge dz
sin(y)dx\wedge dy
-cos(z)dy\wedge dz
-sin(y)dy\wedge dz

This implies that somehow one can manage a series of forms by using list properties… I expect to go deeper on this subject in the future! šŸ˜€

Enjoy people!!!

Dox

Read Full Post »


This code is supposed to be (if some one does the work in the future) located in sage.tensor.differential_form_element.

The code presented below is a slight modification of Joris code for differential forms manipulation on SAGE.

Needed modules

from sage.symbolic.ring import SymbolicRing, SR
from sage.rings.ring_element import RingElement
from sage.algebras.algebra_element import AlgebraElement
from sage.rings.integer import Integer
from sage.combinat.permutation import Permutation

The advantage of using this is that, tensors defined here are an Algebra element, not just a python object as in the previous code.

The sage.combinat.permutation won’t be used (yet), but could be useful if tensor symmetries are defined.

TensorFormatter

class TensorFormatter:
    r"""
    This class contains all the functionality to print a tensor in a
    graphically pleasing way.  This class is called by the ``_latex_`` and
    ``_repr_`` methods of the Tensor class.
    """
    def __init__(self, space):
        r"""
        Construct a tensor formatter.  See
        ``TensorFormatter`` for more information.
        """
        self._space = space

    def repr(self, comp, fun):
        r"""
        String representation of a primitive tensor, i.e. a function
        times a tensor product of d's of the coordinate functions.

        INPUT:

        - ``comp`` -- a subscript of a differential form.

        - ``fun`` -- the component function of this form.

        EXAMPLES::

            sage: from sage.tensor.tensor_element import TensorFormatter
            sage: x, y, z = var('x, y, z')
            sage: U = CoordinatePatch((x, y, z))
            sage: D = TensorFormatter(U)
            sage: D.repr((0, 1), z^3)
            'z^3*dx@dy'

        """

        str = "@".join( \
            [('d%s' % self._space.coordinate(c).__repr__()) for c in comp])

        if fun == 1 and len(comp) > 0:
            # We have a non-trivial form whose component function is 1,
            # so we just return the formatted form part and ignore the 1.
            return str
        else:
            funstr = fun._repr_()

            if not self._is_atomic(funstr):
                funstr = '(' + funstr + ')'

            if len(str) > 0:
                return funstr + "*" + str
            else:
                return funstr

    def latex(self, comp, fun):
        r"""
        Latex representation of a primitive differential form, i.e. a function
        times a tensor product of d's of the coordinate functions.

        INPUT:

        - ``comp`` -- a subscript of a differential form.

        - ``fun`` -- the component function of this form.

        EXAMPLES::

            sage: from sage.tensor.tensor_element import TensorFormatter
            sage: x, y, z = var('x, y, z')
            sage: U = CoordinatePatch((x, y, z))
            sage: D = TensorFormatter(U)
            sage: D.latex((0, 1), z^3)
            'z^{3} d x \otimes d y'

        """

        from sage.misc.latex import latex

        str = " \otimes ".join( \
            [('d %s' % latex(self._space.coordinate(c))) for c in comp])

        if fun == 1 and len(comp) > 0:
            return str
        else:
            funstr = latex(fun)

            if not self._is_atomic(funstr):
                funstr = '(' + funstr + ')'

            return funstr + " " + str

    def _is_atomic(self, str):
        r"""
        Helper function to check whether a given string expression
        is atomic.

        EXAMPLES::

            sage: x, y, z = var('x, y, z')
            sage: U = CoordinatePatch((x, y, z))
            sage: from sage.tensor.tensor_element import TensorFormatter
            sage: D = TensorFormatter(U)
            sage: D._is_atomic('a + b')
            False
            sage: D._is_atomic('(a + b)')
            True
        """
        level = 0
        for n, c in enumerate(str):
            if c == '(':
                level += 1
            elif c == ')':
                level -= 1

            if c == '+' or c == '-':
                if level == 0 and n > 0:
                    return False
        return True

The only I’ve changed here is “DifferentialForm” by “Tensor” and “\wedge” by “\otimes”

The above code allows to write the tensor product in a basis, dx^1\otimes\cdots\otimes dx^n. The chosen symbol for denoting the tensor product was @.

Tensor Class

This code is incomplete due to:

  • I’ve not defined the TensorsAlgebra, which should be done in parallel.
  • There are a lot of attributes not presented in this class.
  • class Tensor(AlgebraElement):
        r"""
        Tensor class.
        """
    
        def __init__(self, parent, degree, fun = None):
            r"""
            Construct a tensor.
    
            INPUT:
    
            - ``parent`` -- Parent algebra of tensors.
    
            - ``degree`` -- Degree of the tensor.
    
            - ``fun`` (default: None) -- Initialize this differential form with the given function.  If the degree is not zero, this argument is silently ignored.
    
            EXAMPLES::
    
                sage: x, y, z = var('x, y, z')
                sage: F = Tensors(); F
                Algebra of tensors in the variables x, y, z
                sage: f = Tensor(F, 0, sin(z)); f
                sin(z)
    
            """
    
            from sage.tensor.tensorss import Tensors
            if not isinstance(parent, Tensors):
                raise TypeError, "Parent not an algebra of tensors."
    
            RingElement.__init__(self, parent)
    
            self._degree = degree
            self._components = {}
    
            if degree == 0 and fun is not None:
                self.__setitem__([], fun)
    
        def __getitem__(self, subscript):
            r"""
            Return a given component of the tensor.
    
            INPUT:
    
            - ``subscript``: subscript of the component.  Must be an integer
            or a list of integers.
    
            EXAMPLES::
    
                sage: x, y, z = var('x, y, z')
                sage: F = Tensors(); F
                Algebra of tensors in the variables x, y, z
                sage: f = Tensor(F, 0, sin(x*y)); f
                sin(x*y)
                sage: f[()]
                sin(x*y)
            """
    
            if isinstance(subscript, (Integer, int)):
                subscript = (subscript, )
            else:
                subscript = tuple(subscript)
    
            dim = self.parent().base_space().dim()
            if any([s >= dim for s in subscript]):
                raise ValueError, "Index out of bounds."
    
            if len(subscript) != self._degree:
                raise TypeError, "%s is not a subscript of degree %s" %\
                    (subscript, self._degree)
    
            """sign, subscript = sort_subscript(subscript)"""
    
            if subscript in self._components:
                return sign*self._components[subscript]
            else:
                return 0
    
        def __setitem__(self, subscript, fun):
            r"""
            Modify a given component of the tensor.
    
            INPUT:
    
            - ``subscript``: subscript of the component.  Must be an integer or a list of integers.
    
            EXAMPLES::
    
                sage: F = Tensors(); F
                Algebra of tensors in the variables x, y, z
                sage: f = Tensor(F, 2)
                sage: f[1, 2] = x; f
                x*dy@dz
            """
    
            if isinstance(subscript, (Integer, int)):
                subscript = (subscript, )
            else:
                subscript = tuple(subscript)
    
            dim = self.parent().base_space().dim()
            if any([s >= dim for s in subscript]):
                raise ValueError, "Index out of bounds."
    
            if len(subscript) != self._degree:
                raise TypeError, "%s is not a subscript of degree %s" %\
                    (subscript, self._degree)
    
            """sign, subscript = sort_subscript(subscript)"""
            self._components[subscript] = SR(fun)

    Ok, so again I’ve changed “DifferentialForm(s)” by “Tensor(s)”, drop the permutation of indices (’cause tensors do not need to be neither symmetric nor anti-symmetric.

    I’ll keep working with this code… It’s all by now. Oh! I’ll post next week the rest of the code based in Sergey’s GRPy.

    Enjoy.

    Dox

    Read Full Post »


    I’ve just updated the SAGE worksheet which uses the definitions described in the previous posts.

  • There are some explanations in text format
  • The code has been hidden… because is long.
  • Moreover… I’ve discover something really amazing! Joris Vankerschaver‘s code of the differential form package in SAGE. Thus, I could use some ideas from Joris’ code to improve GRmodule. Nice, Isn’t it?

    Let’s hope I could so something nice this weekend!

    Don’t forget check the worksheet, and post some comment for feedback! šŸ˜‰

    Enjoy!

    Dox

    Read Full Post »

    Older Posts »