[ < ] | [ > ] | [ << ] | [ Up ] | [ >> ] | [Top] | [Contents] | [Index] | [ ? ] |

25.1 Introduction to itensor | ||

25.2 Functions and Variables for itensor |

[ < ] | [ > ] | [ << ] | [ Up ] | [ >> ] | [Top] | [Contents] | [Index] | [ ? ] |

Maxima implements symbolic tensor manipulation of two distinct types:
component tensor manipulation (`ctensor`

package) and indicial tensor
manipulation (`itensor`

package).

Nota bene: Please see the note on 'new tensor notation' below.

Component tensor manipulation means that geometrical tensor
objects are represented as arrays or matrices. Tensor operations such
as contraction or covariant differentiation are carried out by
actually summing over repeated (dummy) indices with `do`

statements.
That is, one explicitly performs operations on the appropriate tensor
components stored in an array or matrix.

Indicial tensor manipulation is implemented by representing tensors as functions of their covariant, contravariant and derivative indices. Tensor operations such as contraction or covariant differentiation are performed by manipulating the indices themselves rather than the components to which they correspond.

These two approaches to the treatment of differential, algebraic and analytic processes in the context of Riemannian geometry have various advantages and disadvantages which reveal themselves only through the particular nature and difficulty of the user's problem. However, one should keep in mind the following characteristics of the two implementations:

The representation of tensors and tensor operations explicitly in
terms of their components makes `ctensor`

easy to use. Specification of
the metric and the computation of the induced tensors and invariants
is straightforward. Although all of Maxima's powerful simplification
capacity is at hand, a complex metric with intricate functional and
coordinate dependencies can easily lead to expressions whose size is
excessive and whose structure is hidden. In addition, many calculations
involve intermediate expressions which swell causing programs to
terminate before completion. Through experience, a user can avoid
many of these difficulties.

Because of the special way in which tensors and tensor operations
are represented in terms of symbolic operations on their indices,
expressions which in the component representation would be
unmanageable can sometimes be greatly simplified by using the special
routines for symmetrical objects in `itensor`

. In this way the structure
of a large expression may be more transparent. On the other hand, because
of the special indicial representation in `itensor`

, in some cases the
user may find difficulty with the specification of the metric, function
definition, and the evaluation of differentiated "indexed" objects.

The `itensor`

package can carry out differentiation with respect to an indexed
variable, which allows one to use the package when dealing with Lagrangian
and Hamiltonian formalisms. As it is possible to differentiate a field
Lagrangian with respect to an (indexed) field variable, one can use Maxima
to derive the corresponding Euler-Lagrange equations in indicial form. These
equations can be translated into component tensor (`ctensor`

) programs using
the `ic_convert`

function, allowing us to solve the field equations in a
particular coordinate representation, or to recast the equations of motion
in Hamiltonian form. See `einhil.dem`

and `bradic.dem`

for two comprehensive
examples. The first, `einhil.dem`

, uses the Einstein-Hilbert action to derive
the Einstein field tensor in the homogeneous and isotropic case (Friedmann
equations) and the spherically symmetric, static case (Schwarzschild
solution.) The second, `bradic.dem`

, demonstrates how to compute the Friedmann
equations from the action of Brans-Dicke gravity theory, and also derives
the Hamiltonian associated with the theory's scalar field.

Categories: Tensors · Share packages · Package itensor

[ < ] | [ > ] | [ << ] | [ Up ] | [ >> ] | [Top] | [Contents] | [Index] | [ ? ] |

Earlier versions of the `itensor`

package in Maxima used a notation that sometimes
led to incorrect index ordering. Consider the following, for instance:

(%i2) imetric(g); (%o2) done (%i3) ishow(g([],[j,k])*g([],[i,l])*a([i,j],[]))$ i l j k (%t3) g g a i j (%i4) ishow(contract(%))$ k l (%t4) a

This result is incorrect unless `a`

happens to be a symmetric tensor.
The reason why this happens is that although `itensor`

correctly maintains
the order within the set of covariant and contravariant indices, once an
index is raised or lowered, its position relative to the other set of
indices is lost.

To avoid this problem, a new notation has been developed that remains fully
compatible with the existing notation and can be used interchangeably. In
this notation, contravariant indices are inserted in the appropriate
positions in the covariant index list, but with a minus sign prepended.
Functions like `contract`

and `ishow`

are now aware of this
new index notation and can process tensors appropriately.

In this new notation, the previous example yields a correct result:

(%i5) ishow(g([-j,-k],[])*g([-i,-l],[])*a([i,j],[]))$ i l j k (%t5) g a g i j (%i6) ishow(contract(%))$ l k (%t6) a

Presently, the only code that makes use of this notation is the `lc2kdt`

function. Through this notation, it achieves consistent results as it
applies the metric tensor to resolve Levi-Civita symbols without resorting
to numeric indices.

Since this code is brand new, it probably contains bugs. While it has been tested to make sure that it doesn't break anything using the "old" tensor notation, there is a considerable chance that "new" tensors will fail to interoperate with certain functions or features. These bugs will be fixed as they are encountered... until then, caveat emptor!

[ < ] | [ > ] | [ << ] | [ Up ] | [ >> ] | [Top] | [Contents] | [Index] | [ ? ] |

The indicial tensor manipulation package may be loaded by
`load(itensor)`

. Demos are also available: try `demo(tensor)`

.

In `itensor`

a tensor is represented as an "indexed object" . This is a
function of 3 groups of indices which represent the covariant,
contravariant and derivative indices. The covariant indices are
specified by a list as the first argument to the indexed object, and
the contravariant indices by a list as the second argument. If the
indexed object lacks either of these groups of indices then the empty
list `[]`

is given as the corresponding argument. Thus, `g([a,b],[c])`

represents an indexed object called `g`

which has two covariant indices
`(a,b)`

, one contravariant index (`c`

) and no derivative indices.

The derivative indices, if they are present, are appended as
additional arguments to the symbolic function representing the tensor.
They can be explicitly specified by the user or be created in the
process of differentiation with respect to some coordinate variable.
Since ordinary differentiation is commutative, the derivative indices
are sorted alphanumerically, unless `iframe_flag`

is set to `true`

,
indicating that a frame metric is being used. This canonical ordering makes it
possible for Maxima to recognize that, for example, `t([a],[b],i,j)`

is
the same as `t([a],[b],j,i)`

. Differentiation of an indexed object with
respect to some coordinate whose index does not appear as an argument
to the indexed object would normally yield zero. This is because
Maxima would not know that the tensor represented by the indexed
object might depend implicitly on the corresponding coordinate. By
modifying the existing Maxima function `diff`

in `itensor`

, Maxima now
assumes that all indexed objects depend on any variable of
differentiation unless otherwise stated. This makes it possible for
the summation convention to be extended to derivative indices. It
should be noted that `itensor`

does not possess the capabilities of
raising derivative indices, and so they are always treated as
covariant.

The following functions are available in the tensor package for
manipulating indexed objects. At present, with respect to the
simplification routines, it is assumed that indexed objects do not
by default possess symmetry properties. This can be overridden by
setting the variable `allsym[false]`

to `true`

, which will
result in treating all indexed objects completely symmetric in their
lists of covariant indices and symmetric in their lists of
contravariant indices.

The `itensor`

package generally treats tensors as opaque objects. Tensorial
equations are manipulated based on algebraic rules, specifically symmetry
and contraction rules. In addition, the `itensor`

package understands
covariant differentiation, curvature, and torsion. Calculations can be
performed relative to a metric of moving frame, depending on the setting
of the `iframe_flag`

variable.

A sample session below demonstrates how to load the `itensor`

package,
specify the name of the metric, and perform some simple calculations.

(%i1) load(itensor); (%o1) /share/tensor/itensor.lisp (%i2) imetric(g); (%o2) done (%i3) components(g([i,j],[]),p([i,j],[])*e([],[]))$ (%i4) ishow(g([k,l],[]))$ (%t4) e p k l (%i5) ishow(diff(v([i],[]),t))$ (%t5) 0 (%i6) depends(v,t); (%o6) [v(t)] (%i7) ishow(diff(v([i],[]),t))$ d (%t7) -- (v ) dt i (%i8) ishow(idiff(v([i],[]),j))$ (%t8) v i,j (%i9) ishow(extdiff(v([i],[]),j))$ (%t9) v - v j,i i,j ----------- 2 (%i10) ishow(liediff(v,w([i],[])))$ %3 %3 (%t10) v w + v w i,%3 ,i %3 (%i11) ishow(covdiff(v([i],[]),j))$ %4 (%t11) v - v ichr2 i,j %4 i j (%i12) ishow(ev(%,ichr2))$ %4 %5 (%t12) v - (g v (e p + e p - e p - e p i,j %4 j %5,i ,i j %5 i j,%5 ,%5 i j + e p + e p ))/2 i %5,j ,j i %5 (%i13) iframe_flag:true; (%o13) true (%i14) ishow(covdiff(v([i],[]),j))$ %6 (%t14) v - v icc2 i,j %6 i j (%i15) ishow(ev(%,icc2))$ %6 (%t15) v - v ifc2 i,j %6 i j (%i16) ishow(radcan(ev(%,ifc2,ifc1)))$ %6 %7 %6 %7 (%t16) - (ifg v ifb + ifg v ifb - 2 v %6 j %7 i %6 i j %7 i,j %6 %7 - ifg v ifb )/2 %6 %7 i j (%i17) ishow(canform(s([i,j],[])-s([j,i])))$ (%t17) s - s i j j i (%i18) decsym(s,2,0,[sym(all)],[]); (%o18) done (%i19) ishow(canform(s([i,j],[])-s([j,i])))$ (%t19) 0 (%i20) ishow(canform(a([i,j],[])+a([j,i])))$ (%t20) a + a j i i j (%i21) decsym(a,2,0,[anti(all)],[]); (%o21) done (%i22) ishow(canform(a([i,j],[])+a([j,i])))$ (%t22) 0

[ < ] | [ > ] | [ << ] | [ Up ] | [ >> ] | [Top] | [Contents] | [Index] | [ ? ] |

[ < ] | [ > ] | [ << ] | [ Up ] | [ >> ] | [Top] | [Contents] | [Index] | [ ? ] |

__Function:__**dispcon**

`dispcon`(`tensor_1`,`tensor_2`, …)

`dispcon`(all)Displays the contraction properties of its arguments as were given to

`defcon`

.`dispcon (all)`

displays all the contraction properties which were defined.Categories: Display functions

__Function:__**entertensor***(*`name`)is a function which, by prompting, allows one to create an indexed object called

`name`with any number of tensorial and derivative indices. Either a single index or a list of indices (which may be null) is acceptable input (see the example under`covdiff`

).Categories: Package itensor

__Function:__**changename***(*`old`,`new`,`expr`)will change the name of all indexed objects called

`old`to`new`in`expr`.`old`may be either a symbol or a list of the form`[`

in which case only those indexed objects called`name`,`m`,`n`]`name`with`m`covariant and`n`contravariant indices will be renamed to`new`.Categories: Package itensor

__Function:__**listoftens**Lists all tensors in a tensorial expression, complete with their indices. E.g.,

(%i6) ishow(a([i,j],[k])*b([u],[],v)+c([x,y],[])*d([],[])*e)$ k (%t6) d e c + a b x y i j u,v (%i7) ishow(listoftens(%))$ k (%t7) [a , b , c , d] i j u,v x y

Categories: Package itensor

__Function:__**ishow***(*`expr`)displays

`expr`with the indexed objects in it shown having their covariant indices as subscripts and contravariant indices as superscripts. The derivative indices are displayed as subscripts, separated from the covariant indices by a comma (see the examples throughout this document).Categories: Package itensor

__Function:__**indices***(*`expr`)Returns a list of two elements. The first is a list of the free indices in

`expr`(those that occur only once). The second is the list of the dummy indices in`expr`(those that occur exactly twice) as the following example demonstrates.(%i1) load(itensor); (%o1) /share/tensor/itensor.lisp (%i2) ishow(a([i,j],[k,l],m,n)*b([k,o],[j,m,p],q,r))$ k l j m p (%t2) a b i j,m n k o,q r (%i3) indices(%); (%o3) [[l, p, i, n, o, q, r], [k, j, m]]

A tensor product containing the same index more than twice is syntactically illegal.

`indices`

attempts to deal with these expressions in a reasonable manner; however, when it is called to operate upon such an illegal expression, its behavior should be considered undefined.Categories: Package itensor

__Function:__**rename**

`rename`(`expr`)

`rename`(`expr`,`count`)Returns an expression equivalent to

`expr`but with the dummy indices in each term chosen from the set`[%1, %2,...]`

, if the optional second argument is omitted. Otherwise, the dummy indices are indexed beginning at the value of`count`. Each dummy index in a product will be different. For a sum,`rename`

will operate upon each term in the sum resetting the counter with each term. In this way`rename`

can serve as a tensorial simplifier. In addition, the indices will be sorted alphanumerically (if`allsym`

is`true`

) with respect to covariant or contravariant indices depending upon the value of`flipflag`

. If`flipflag`

is`false`

then the indices will be renamed according to the order of the contravariant indices. If`flipflag`

is`true`

the renaming will occur according to the order of the covariant indices. It often happens that the combined effect of the two renamings will reduce an expression more than either one by itself.(%i1) load(itensor); (%o1) /share/tensor/itensor.lisp (%i2) allsym:true; (%o2) true (%i3) g([],[%4,%5])*g([],[%6,%7])*ichr2([%1,%4],[%3])* ichr2([%2,%3],[u])*ichr2([%5,%6],[%1])*ichr2([%7,r],[%2])- g([],[%4,%5])*g([],[%6,%7])*ichr2([%1,%2],[u])* ichr2([%3,%5],[%1])*ichr2([%4,%6],[%3])*ichr2([%7,r],[%2]),noeval$ (%i4) expr:ishow(%)$ %4 %5 %6 %7 %3 u %1 %2 (%t4) g g ichr2 ichr2 ichr2 ichr2 %1 %4 %2 %3 %5 %6 %7 r %4 %5 %6 %7 u %1 %3 %2 - g g ichr2 ichr2 ichr2 ichr2 %1 %2 %3 %5 %4 %6 %7 r (%i5) flipflag:true; (%o5) true (%i6) ishow(rename(expr))$ %2 %5 %6 %7 %4 u %1 %3 (%t6) g g ichr2 ichr2 ichr2 ichr2 %1 %2 %3 %4 %5 %6 %7 r %4 %5 %6 %7 u %1 %3 %2 - g g ichr2 ichr2 ichr2 ichr2 %1 %2 %3 %4 %5 %6 %7 r (%i7) flipflag:false; (%o7) false (%i8) rename(%th(2)); (%o8) 0 (%i9) ishow(rename(expr))$ %1 %2 %3 %4 %5 %6 %7 u (%t9) g g ichr2 ichr2 ichr2 ichr2 %1 %6 %2 %3 %4 r %5 %7 %1 %2 %3 %4 %6 %5 %7 u - g g ichr2 ichr2 ichr2 ichr2 %1 %3 %2 %6 %4 r %5 %7

Categories: Package itensor

__Function:__**show***(*`expr`)Displays

`expr`

with the indexed objects in it shown having covariant indices as subscripts, contravariant indices as superscripts. The derivative indices are displayed as subscripts, separated from the covariant indices by a comma.Categories: Package itensor · Display functions

__Option variable:__**flipflag**Default value:

`false`

If

`false`

then the indices will be renamed according to the order of the contravariant indices, otherwise according to the order of the covariant indices.If

`flipflag`

is`false`

then`rename`

forms a list of the contravariant indices as they are encountered from left to right (if`true`

then of the covariant indices). The first dummy index in the list is renamed to`%1`

, the next to`%2`

, etc. Then sorting occurs after the`rename`

-ing (see the example under`rename`

).Categories: Package itensor

__Function:__**defcon**

`defcon`(`tensor_1`)

`defcon`(`tensor_1`,`tensor_2`,`tensor_3`)gives

`tensor_1`the property that the contraction of a product of`tensor_1`and`tensor_2`results in`tensor_3`with the appropriate indices. If only one argument,`tensor_1`, is given, then the contraction of the product of`tensor_1`with any indexed object having the appropriate indices (say`my_tensor`

) will yield an indexed object with that name, i.e.`my_tensor`

, and with a new set of indices reflecting the contractions performed. For example, if`imetric:g`

, then`defcon(g)`

will implement the raising and lowering of indices through contraction with the metric tensor. More than one`defcon`

can be given for the same indexed object; the latest one given which applies in a particular contraction will be used.`contractions`

is a list of those indexed objects which have been given contraction properties with`defcon`

.Categories: Package itensor

__Function:__**remcon**

`remcon`(`tensor_1`, ...,`tensor_n`)

`remcon`(all)Removes all the contraction properties from the (

`tensor_1`, ...,`tensor_n`).`remcon(all)`

removes all contraction properties from all indexed objects.Categories: Package itensor

__Function:__**contract***(*`expr`)Carries out the tensorial contractions in

`expr`which may be any combination of sums and products. This function uses the information given to the`defcon`

function. For best results,`expr`

should be fully expanded.`ratexpand`

is the fastest way to expand products and powers of sums if there are no variables in the denominators of the terms. The`gcd`

switch should be`false`

if GCD cancellations are unnecessary.Categories: Package itensor

__Function:__**indexed_tensor***(*`tensor`)Must be executed before assigning components to a

`tensor`for which a built in value already exists as with`ichr1`

,`ichr2`

,`icurvature`

. See the example under`icurvature`

.Categories: Package itensor

__Function:__**components***(*`tensor`,`expr`)permits one to assign an indicial value to an expression

`expr`giving the values of the components of`tensor`. These are automatically substituted for the tensor whenever it occurs with all of its indices. The tensor must be of the form`t([...],[...])`

where either list may be empty.`expr`can be any indexed expression involving other objects with the same free indices as`tensor`. When used to assign values to the metric tensor wherein the components contain dummy indices one must be careful to define these indices to avoid the generation of multiple dummy indices. Removal of this assignment is given to the function`remcomps`

.It is important to keep in mind that

`components`

cares only about the valence of a tensor, not about any particular index ordering. Thus assigning components to, say,`x([i,-j],[])`

,`x([-j,i],[])`

, or`x([i],[j])`

all produce the same result, namely components being assigned to a tensor named`x`

with valence`(1,1)`

.Components can be assigned to an indexed expression in four ways, two of which involve the use of the

`components`

command:1) As an indexed expression. For instance:

(%i2) components(g([],[i,j]),e([],[i])*p([],[j]))$ (%i3) ishow(g([],[i,j]))$ i j (%t3) e p

2) As a matrix:

(%i5) lg:-ident(4)$lg[1,1]:1$lg; [ 1 0 0 0 ] [ ] [ 0 - 1 0 0 ] (%o5) [ ] [ 0 0 - 1 0 ] [ ] [ 0 0 0 - 1 ] (%i6) components(g([i,j],[]),lg); (%o6) done (%i7) ishow(g([i,j],[]))$ (%t7) g i j (%i8) g([1,1],[]); (%o8) 1 (%i9) g([4,4],[]); (%o9) - 1

3) As a function. You can use a Maxima function to specify the components of a tensor based on its indices. For instance, the following code assigns

`kdelta`

to`h`

if`h`

has the same number of covariant and contravariant indices and no derivative indices, and`g`

otherwise:(%i4) h(l1,l2,[l3]):=if length(l1)=length(l2) and length(l3)=0 then kdelta(l1,l2) else apply(g,append([l1,l2], l3))$ (%i5) ishow(h([i],[j]))$ j (%t5) kdelta i (%i6) ishow(h([i,j],[k],l))$ k (%t6) g i j,l

4) Using Maxima's pattern matching capabilities, specifically the

`defrule`

and`applyb1`

commands:(%i1) load(itensor); (%o1) /share/tensor/itensor.lisp (%i2) matchdeclare(l1,listp); (%o2) done (%i3) defrule(r1,m(l1,[]),(i1:idummy(), g([l1[1],l1[2]],[])*q([i1],[])*e([],[i1])))$ (%i4) defrule(r2,m([],l1),(i1:idummy(), w([],[l1[1],l1[2]])*e([i1],[])*q([],[i1])))$ (%i5) ishow(m([i,n],[])*m([],[i,m]))$ i m (%t5) m m i n (%i6) ishow(rename(applyb1(%,r1,r2)))$ %1 %2 %3 m (%t6) e q w q e g %1 %2 %3 n

Categories: Package itensor

__Function:__**remcomps***(*`tensor`)Unbinds all values from

`tensor`which were assigned with the`components`

function.Categories: Package itensor

__Function:__**showcomps***(*`tensor`)Shows component assignments of a tensor, as made using the

`components`

command. This function can be particularly useful when a matrix is assigned to an indicial tensor using`components`

, as demonstrated by the following example:(%i1) load(ctensor); (%o1) /share/tensor/ctensor.mac (%i2) load(itensor); (%o2) /share/tensor/itensor.lisp (%i3) lg:matrix([sqrt(r/(r-2*m)),0,0,0],[0,r,0,0], [0,0,sin(theta)*r,0],[0,0,0,sqrt((r-2*m)/r)]); [ r ] [ sqrt(-------) 0 0 0 ] [ r - 2 m ] [ ] [ 0 r 0 0 ] (%o3) [ ] [ 0 0 r sin(theta) 0 ] [ ] [ r - 2 m ] [ 0 0 0 sqrt(-------) ] [ r ] (%i4) components(g([i,j],[]),lg); (%o4) done (%i5) showcomps(g([i,j],[])); [ r ] [ sqrt(-------) 0 0 0 ] [ r - 2 m ] [ ] [ 0 r 0 0 ] (%t5) g = [ ] i j [ 0 0 r sin(theta) 0 ] [ ] [ r - 2 m ] [ 0 0 0 sqrt(-------) ] [ r ] (%o5) false

The

`showcomps`

command can also display components of a tensor of rank higher than 2.Categories: Package itensor

__Function:__**idummy***()*Increments

`icounter`

and returns as its value an index of the form`%n`

where n is a positive integer. This guarantees that dummy indices which are needed in forming expressions will not conflict with indices already in use (see the example under`indices`

).Categories: Package itensor

__Option variable:__**idummyx**Default value:

`%`

Is the prefix for dummy indices (see the example under

`indices`

).Categories: Package itensor

__Option variable:__**icounter**Default value:

`1`

Determines the numerical suffix to be used in generating the next dummy index in the tensor package. The prefix is determined by the option

`idummy`

(default:`%`

).Categories: Package itensor

__Function:__**kdelta***(*`L1`,`L2`)is the generalized Kronecker delta function defined in the

`itensor`

package with`L1`the list of covariant indices and`L2`the list of contravariant indices.`kdelta([i],[j])`

returns the ordinary Kronecker delta. The command`ev(`

causes the evaluation of an expression containing`expr`,kdelta)`kdelta([],[])`

to the dimension of the manifold.In what amounts to an abuse of this notation,

`itensor`

also allows`kdelta`

to have 2 covariant and no contravariant, or 2 contravariant and no covariant indices, in effect providing a co(ntra)variant "unit matrix" capability. This is strictly considered a programming aid and not meant to imply that`kdelta([i,j],[])`

is a valid tensorial object.Categories: Package itensor

__Function:__**kdels***(*`L1`,`L2`)Symmetrized Kronecker delta, used in some calculations. For instance:

(%i1) load(itensor); (%o1) /share/tensor/itensor.lisp (%i2) kdelta([1,2],[2,1]); (%o2) - 1 (%i3) kdels([1,2],[2,1]); (%o3) 1 (%i4) ishow(kdelta([a,b],[c,d]))$ c d d c (%t4) kdelta kdelta - kdelta kdelta a b a b (%i4) ishow(kdels([a,b],[c,d]))$ c d d c (%t4) kdelta kdelta + kdelta kdelta a b a b

Categories: Package itensor

__Function:__**levi_civita***(*`L`)is the permutation (or Levi-Civita) tensor which yields 1 if the list

`L`consists of an even permutation of integers, -1 if it consists of an odd permutation, and 0 if some indices in`L`are repeated.Categories: Package itensor

__Function:__**lc2kdt***(*`expr`)Simplifies expressions containing the Levi-Civita symbol, converting these to Kronecker-delta expressions when possible. The main difference between this function and simply evaluating the Levi-Civita symbol is that direct evaluation often results in Kronecker expressions containing numerical indices. This is often undesirable as it prevents further simplification. The

`lc2kdt`

function avoids this problem, yielding expressions that are more easily simplified with`rename`

or`contract`

.(%i1) load(itensor); (%o1) /share/tensor/itensor.lisp (%i2) expr:ishow('levi_civita([],[i,j]) *'levi_civita([k,l],[])*a([j],[k]))$ i j k (%t2) levi_civita a levi_civita j k l (%i3) ishow(ev(expr,levi_civita))$ i j k 1 2 (%t3) kdelta a kdelta 1 2 j k l (%i4) ishow(ev(%,kdelta))$ i j j i k (%t4) (kdelta kdelta - kdelta kdelta ) a 1 2 1 2 j 1 2 2 1 (kdelta kdelta - kdelta kdelta ) k l k l (%i5) ishow(lc2kdt(expr))$ k i j k j i (%t5) a kdelta kdelta - a kdelta kdelta j k l j k l (%i6) ishow(contract(expand(%)))$ i i (%t6) a - a kdelta l l

The

`lc2kdt`

function sometimes makes use of the metric tensor. If the metric tensor was not defined previously with`imetric`

, this results in an error.(%i7) expr:ishow('levi_civita([],[i,j]) *'levi_civita([],[k,l])*a([j,k],[]))$ i j k l (%t7) levi_civita levi_civita a j k (%i8) ishow(lc2kdt(expr))$ Maxima encountered a Lisp error: Error in $IMETRIC [or a callee]: $IMETRIC [or a callee] requires less than two arguments. Automatically continuing. To reenable the Lisp debugger set *debugger-hook* to nil. (%i9) imetric(g); (%o9) done (%i10) ishow(lc2kdt(expr))$ %3 i k %4 j l %3 i l %4 j (%t10) (g kdelta g kdelta - g kdelta g %3 %4 %3 k kdelta ) a %4 j k (%i11) ishow(contract(expand(%)))$ l i l i j (%t11) a - g a j

Categories: Package itensor

__Function:__**lc_l**Simplification rule used for expressions containing the unevaluated Levi-Civita symbol (

`levi_civita`

). Along with`lc_u`

, it can be used to simplify many expressions more efficiently than the evaluation of`levi_civita`

. For example:(%i1) load(itensor); (%o1) /share/tensor/itensor.lisp (%i2) el1:ishow('levi_civita([i,j,k],[])*a([],[i])*a([],[j]))$ i j (%t2) a a levi_civita i j k (%i3) el2:ishow('levi_civita([],[i,j,k])*a([i])*a([j]))$ i j k (%t3) levi_civita a a i j (%i4) canform(contract(expand(applyb1(el1,lc_l,lc_u)))); (%t4) 0 (%i5) canform(contract(expand(applyb1(el2,lc_l,lc_u)))); (%t5) 0

Categories: Package itensor

__Function:__**lc_u**Simplification rule used for expressions containing the unevaluated Levi-Civita symbol (

`levi_civita`

). Along with`lc_u`

, it can be used to simplify many expressions more efficiently than the evaluation of`levi_civita`

. For details, see`lc_l`

.Categories: Package itensor

__Function:__**canten***(*`expr`)Simplifies

`expr`by renaming (see`rename`

) and permuting dummy indices.`rename`

is restricted to sums of tensor products in which no derivatives are present. As such it is limited and should only be used if`canform`

is not capable of carrying out the required simplification.The

`canten`

function returns a mathematically correct result only if its argument is an expression that is fully symmetric in its indices. For this reason,`canten`

returns an error if`allsym`

is not set to`true`

.Categories: Package itensor

__Function:__**concan***(*`expr`)Similar to

`canten`

but also performs index contraction.Categories: Package itensor

[ < ] | [ > ] | [ << ] | [ Up ] | [ >> ] | [Top] | [Contents] | [Index] | [ ? ] |

__Option variable:__**allsym**Default value:

`false`

If

`true`

then all indexed objects are assumed symmetric in all of their covariant and contravariant indices. If`false`

then no symmetries of any kind are assumed in these indices. Derivative indices are always taken to be symmetric unless`iframe_flag`

is set to`true`

.Categories: Package itensor

__Function:__**decsym***(*`tensor`,`m`,`n`, [`cov_1`,`cov_2`, ...], [`contr_1`,`contr_2`, ...])Declares symmetry properties for

`tensor`of`m`covariant and`n`contravariant indices. The`cov_i`and`contr_i`are pseudofunctions expressing symmetry relations among the covariant and contravariant indices respectively. These are of the form`symoper(`

where`index_1`,`index_2`,...)`symoper`

is one of`sym`

,`anti`

or`cyc`

and the`index_i`are integers indicating the position of the index in the`tensor`. This will declare`tensor`to be symmetric, antisymmetric or cyclic respectively in the`index_i`.`symoper(all)`

is also an allowable form which indicates all indices obey the symmetry condition. For example, given an object`b`

with 5 covariant indices,`decsym(b,5,3,[sym(1,2),anti(3,4)],[cyc(all)])`

declares`b`

symmetric in its first and second and antisymmetric in its third and fourth covariant indices, and cyclic in all of its contravariant indices. Either list of symmetry declarations may be null. The function which performs the simplifications is`canform`

as the example below illustrates.(%i1) load(itensor); (%o1) /share/tensor/itensor.lisp (%i2) expr:contract( expand( a([i1, j1, k1], []) *kdels([i, j, k], [i1, j1, k1])))$ (%i3) ishow(expr)$ (%t3) a + a + a + a + a + a k j i k i j j k i j i k i k j i j k (%i4) decsym(a,3,0,[sym(all)],[]); (%o4) done (%i5) ishow(canform(expr))$ (%t5) 6 a i j k (%i6) remsym(a,3,0); (%o6) done (%i7) decsym(a,3,0,[anti(all)],[]); (%o7) done (%i8) ishow(canform(expr))$ (%t8) 0 (%i9) remsym(a,3,0); (%o9) done (%i10) decsym(a,3,0,[cyc(all)],[]); (%o10) done (%i11) ishow(canform(expr))$ (%t11) 3 a + 3 a i k j i j k (%i12) dispsym(a,3,0); (%o12) [[cyc, [[1, 2, 3]], []]]

Categories: Package itensor

__Function:__**remsym***(*`tensor`,`m`,`n`)Removes all symmetry properties from

`tensor`which has`m`covariant indices and`n`contravariant indices.Categories: Package itensor

__Function:__**canform**

`canform`(`expr`)

`canform`(`expr`,`rename`)Simplifies

`expr`by renaming dummy indices and reordering all indices as dictated by symmetry conditions imposed on them. If`allsym`

is`true`

then all indices are assumed symmetric, otherwise symmetry information provided by`decsym`

declarations will be used. The dummy indices are renamed in the same manner as in the`rename`

function. When`canform`

is applied to a large expression the calculation may take a considerable amount of time. This time can be shortened by calling`rename`

on the expression first. Also see the example under`decsym`

. Note:`canform`

may not be able to reduce an expression completely to its simplest form although it will always return a mathematically correct result.The optional second parameter

`rename`, if set to`false`

, suppresses renaming.Categories: Package itensor

[ < ] | [ > ] | [ << ] | [ Up ] | [ >> ] | [Top] | [Contents] | [Index] | [ ? ] |

__Function:__**diff***(*`expr`,`v_1`, [`n_1`, [`v_2`,`n_2`] ...])is the usual Maxima differentiation function which has been expanded in its abilities for

`itensor`

. It takes the derivative of`expr`with respect to`v_1``n_1`times, with respect to`v_2``n_2`times, etc. For the tensor package, the function has been modified so that the`v_i`may be integers from 1 up to the value of the variable`dim`

. This will cause the differentiation to be carried out with respect to the`v_i`th member of the list`vect_coords`

. If`vect_coords`

is bound to an atomic variable, then that variable subscripted by`v_i`will be used for the variable of differentiation. This permits an array of coordinate names or subscripted names like`x[1]`

,`x[2]`

, ... to be used.A further extension adds the ability to

`diff`

to compute derivatives with respect to an indexed variable. In particular, the tensor package knows how to differentiate expressions containing combinations of the metric tensor and its derivatives with respect to the metric tensor and its first and second derivatives. This capability is particularly useful when considering Lagrangian formulations of a gravitational theory, allowing one to derive the Einstein tensor and field equations from the action principle.Categories: Package itensor

__Function:__**idiff***(*`expr`,`v_1`, [`n_1`, [`v_2`,`n_2`] ...])Indicial differentiation. Unlike

`diff`

, which differentiates with respect to an independent variable,`idiff)`

can be used to differentiate with respect to a coordinate. For an indexed object, this amounts to appending the`v_i`as derivative indices. Subsequently, derivative indices will be sorted, unless`iframe_flag`

is set to`true`

.`idiff`

can also differentiate the determinant of the metric tensor. Thus, if`imetric`

has been bound to`G`

then`idiff(determinant(g),k)`

will return`2 * determinant(g) * ichr2([%i,k],[%i])`

where the dummy index`%i`

is chosen appropriately.Categories: Package itensor

__Function:__**liediff***(*`v`,`ten`)Computes the Lie-derivative of the tensorial expression

`ten`with respect to the vector field`v`.`ten`should be any indexed tensor expression;`v`should be the name (without indices) of a vector field. For example:(%i1) load(itensor); (%o1) /share/tensor/itensor.lisp (%i2) ishow(liediff(v,a([i,j],[])*b([],[k],l)))$ k %2 %2 %2 (%t2) b (v a + v a + v a ) ,l i j,%2 ,j i %2 ,i %2 j %1 k %1 k %1 k + (v b - b v + v b ) a ,%1 l ,l ,%1 ,l ,%1 i j

Categories: Package itensor

__Function:__**rediff***(*`ten`)Evaluates all occurrences of the

`idiff`

command in the tensorial expression`ten`.Categories: Package itensor

__Function:__**undiff***(*`expr`)Returns an expression equivalent to

`expr`but with all derivatives of indexed objects replaced by the noun form of the`idiff`

function. Its arguments would yield that indexed object if the differentiation were carried out. This is useful when it is desired to replace a differentiated indexed object with some function definition resulting in`expr`and then carry out the differentiation by saying`ev(`

.`expr`, idiff)Categories: Package itensor

__Function:__**evundiff***(*`expr`)Equivalent to the execution of

`undiff`

, followed by`ev`

and`rediff`

.The point of this operation is to easily evalute expressions that cannot be directly evaluated in derivative form. For instance, the following causes an error:

(%i1) load(itensor); (%o1) /share/tensor/itensor.lisp (%i2) icurvature([i,j,k],[l],m); Maxima encountered a Lisp error: Error in $ICURVATURE [or a callee]: $ICURVATURE [or a callee] requires less than three arguments. Automatically continuing. To reenable the Lisp debugger set *debugger-hook* to nil.

However, if

`icurvature`

is entered in noun form, it can be evaluated using`evundiff`

:(%i3) ishow('icurvature([i,j,k],[l],m))$ l (%t3) icurvature i j k,m (%i4) ishow(evundiff(%))$ l l %1 l %1 (%t4) - ichr2 - ichr2 ichr2 - ichr2 ichr2 i k,j m %1 j i k,m %1 j,m i k l l %1 l %1 + ichr2 + ichr2 ichr2 + ichr2 ichr2 i j,k m %1 k i j,m %1 k,m i j

Note: In earlier versions of Maxima, derivative forms of the Christoffel-symbols also could not be evaluated. This has been fixed now, so

`evundiff`

is no longer necessary for expressions like this:(%i5) imetric(g); (%o5) done (%i6) ishow(ichr2([i,j],[k],l))$ k %3 g (g - g + g ) j %3,i l i j,%3 l i %3,j l (%t6) ----------------------------------------- 2 k %3 g (g - g + g ) ,l j %3,i i j,%3 i %3,j + ----------------------------------- 2

Categories: Package itensor

__Function:__**flush***(*`expr`,`tensor_1`,`tensor_2`, ...)Set to zero, in

`expr`, all occurrences of the`tensor_i`that have no derivative indices.Categories: Package itensor

__Function:__**flushd***(*`expr`,`tensor_1`,`tensor_2`, ...)Set to zero, in

`expr`, all occurrences of the`tensor_i`that have derivative indices.Categories: Package itensor

__Function:__**flushnd***(*`expr`,`tensor`,`n`)Set to zero, in

`expr`, all occurrences of the differentiated object`tensor`that have`n`or more derivative indices as the following example demonstrates.(%i1) load(itensor); (%o1) /share/tensor/itensor.lisp (%i2) ishow(a([i],[J,r],k,r)+a([i],[j,r,s],k,r,s))$ J r j r s (%t2) a + a i,k r i,k r s (%i3) ishow(flushnd(%,a,3))$ J r (%t3) a i,k r

Categories: Package itensor

__Function:__**coord***(*`tensor_1`,`tensor_2`, ...)Gives

`tensor_i`the coordinate differentiation property that the derivative of contravariant vector whose name is one of the`tensor_i`yields a Kronecker delta. For example, if`coord(x)`

has been done then`idiff(x([],[i]),j)`

gives`kdelta([i],[j])`

.`coord`

is a list of all indexed objects having this property.Categories: Package itensor

__Function:__**remcoord**

`remcoord`(`tensor_1`,`tensor_2`, ...)

`remcoord`(all)Removes the coordinate differentiation property from the

`tensor_i`

that was established by the function`coord`

.`remcoord(all)`

removes this property from all indexed objects.Categories: Package itensor

__Function:__**makebox***(*`expr`)Display

`expr`in the same manner as`show`

; however, any tensor d'Alembertian occurring in`expr`will be indicated using the symbol`[]`

. For example,`[]p([m],[n])`

represents`g([],[i,j])*p([m],[n],i,j)`

.Categories: Package itensor

__Function:__**conmetderiv***(*`expr`,`tensor`)Simplifies expressions containing ordinary derivatives of both covariant and contravariant forms of the metric tensor (the current restriction). For example,

`conmetderiv`

can relate the derivative of the contravariant metric tensor with the Christoffel symbols as seen from the following:(%i1) load(itensor); (%o1) /share/tensor/itensor.lisp (%i2) ishow(g([],[a,b],c))$ a b (%t2) g ,c (%i3) ishow(conmetderiv(%,g))$ %1 b a %1 a b (%t3) - g ichr2 - g ichr2 %1 c %1 c

Categories: Package itensor

__Function:__**simpmetderiv**

`simpmetderiv`(`expr`)

`simpmetderiv`(`expr`[,`stop`])Simplifies expressions containing products of the derivatives of the metric tensor. Specifically,

`simpmetderiv`

recognizes two identities:ab ab ab a g g + g g = (g g ) = (kdelta ) = 0 ,d bc bc,d bc ,d c ,d

hence

ab ab g g = - g g ,d bc bc,d

and

ab ab g g = g g ,j ab,i ,i ab,j

which follows from the symmetries of the Christoffel symbols.

The

`simpmetderiv`

function takes one optional parameter which, when present, causes the function to stop after the first successful substitution in a product expression. The`simpmetderiv`

function also makes use of the global variable`flipflag`which determines how to apply a "canonical" ordering to the product indices.Put together, these capabilities can be used to achieve powerful simplifications that are difficult or impossible to accomplish otherwise. This is demonstrated through the following example that explicitly uses the partial simplification features of

`simpmetderiv`

to obtain a contractible expression:(%i1) load(itensor); (%o1) /share/tensor/itensor.lisp (%i2) imetric(g); (%o2) done (%i3) ishow(g([],[a,b])*g([],[b,c])*g([a,b],[],d)*g([b,c],[],e))$ a b b c (%t3) g g g g a b,d b c,e (%i4) ishow(canform(%))$ errexp1 has improper indices -- an error. Quitting. To debug this try debugmode(true); (%i5) ishow(simpmetderiv(%))$ a b b c (%t5) g g g g a b,d b c,e (%i6) flipflag:not flipflag; (%o6) true (%i7) ishow(simpmetderiv(%th(2)))$ a b b c (%t7) g g g g ,d ,e a b b c (%i8) flipflag:not flipflag; (%o8) false (%i9) ishow(simpmetderiv(%th(2),stop))$ a b b c (%t9) - g g g g ,e a b,d b c (%i10) ishow(contract(%))$ b c (%t10) - g g ,e c b,d

See also

`weyl.dem`

for an example that uses`simpmetderiv`

and`conmetderiv`

together to simplify contractions of the Weyl tensor.Categories: Package itensor

__Function:__**flush1deriv***(*`expr`,`tensor`)Set to zero, in

`expr`

, all occurrences of`tensor`

that have exactly one derivative index.Categories: Package itensor

[ < ] | [ > ] | [ << ] | [ Up ] | [ >> ] | [Top] | [Contents] | [Index] | [ ? ] |

__Function:__**imetric***(*`g`)__System variable:__**imetric**Specifies the metric by assigning the variable

`imetric:`

in addition, the contraction properties of the metric`g``g`are set up by executing the commands`defcon(`

. The variable`g`), defcon(`g`,`g`, kdelta)`imetric`

(unbound by default), is bound to the metric, assigned by the`imetric(`

command.`g`)Categories: Package itensor

__Function:__**idim***(*`n`)Sets the dimensions of the metric. Also initializes the antisymmetry properties of the Levi-Civita symbols for the given dimension.

Categories: Package itensor

__Function:__**ichr1***([*`i`,`j`,`k`])Yields the Christoffel symbol of the first kind via the definition

(g + g - g )/2 . ik,j jk,i ij,k

To evaluate the Christoffel symbols for a particular metric, the variable

`imetric`

must be assigned a name as in the example under`chr2`

.Categories: Package itensor

__Function:__**ichr2***([*`i`,`j`], [`k`])Yields the Christoffel symbol of the second kind defined by the relation

ks ichr2([i,j],[k]) = g (g + g - g )/2 is,j js,i ij,s

Categories: Package itensor

__Function:__**icurvature***([*`i`,`j`,`k`], [`h`])Yields the Riemann curvature tensor in terms of the Christoffel symbols of the second kind (

`ichr2`

). The following notation is used:h h h %1 h icurvature = - ichr2 - ichr2 ichr2 + ichr2 i j k i k,j %1 j i k i j,k h %1 + ichr2 ichr2 %1 k i j

Categories: Package itensor

__Function:__**covdiff***(*`expr`,`v_1`,`v_2`, ...)Yields the covariant derivative of

`expr`with respect to the variables`v_i`in terms of the Christoffel symbols of the second kind (`ichr2`

). In order to evaluate these, one should use`ev(`

.`expr`,ichr2)(%i1) load(itensor); (%o1) /share/tensor/itensor.lisp (%i2) entertensor()$ Enter tensor name: a; Enter a list of the covariant indices: [i,j]; Enter a list of the contravariant indices: [k]; Enter a list of the derivative indices: []; k (%t2) a i j (%i3) ishow(covdiff(%,s))$ k %1 k %1 k (%t3) - a ichr2 - a ichr2 + a i %1 j s %1 j i s i j,s k %1 + ichr2 a %1 s i j (%i4) imetric:g; (%o4) g (%i5) ishow(ev(%th(2),ichr2))$ %1 %4 k g a (g - g + g ) i %1 s %4,j j s,%4 j %4,s (%t5) - ------------------------------------------ 2 %1 %3 k g a (g - g + g ) %1 j s %3,i i s,%3 i %3,s - ------------------------------------------ 2 k %2 %1 g a (g - g + g ) i j s %2,%1 %1 s,%2 %1 %2,s k + ------------------------------------------- + a 2 i j,s (%i6)

Categories: Package itensor

__Function:__**lorentz_gauge***(*`expr`)Imposes the Lorentz condition by substituting 0 for all indexed objects in

`expr`that have a derivative index identical to a contravariant index.Categories: Package itensor

__Function:__**igeodesic_coords***(*`expr`,`name`)Causes undifferentiated Christoffel symbols and first derivatives of the metric tensor vanish in

`expr`. The`name`in the`igeodesic_coords`

function refers to the metric`name`(if it appears in`expr`) while the connection coefficients must be called with the names`ichr1`

and/or`ichr2`

. The following example demonstrates the verification of the cyclic identity satisfied by the Riemann curvature tensor using the`igeodesic_coords`

function.(%i1) load(itensor); (%o1) /share/tensor/itensor.lisp (%i2) ishow(icurvature([r,s,t],[u]))$ u u %1 u (%t2) - ichr2 - ichr2 ichr2 + ichr2 r t,s %1 s r t r s,t u %1 + ichr2 ichr2 %1 t r s (%i3) ishow(igeodesic_coords(%,ichr2))$ u u (%t3) ichr2 - ichr2 r s,t r t,s (%i4) ishow(igeodesic_coords(icurvature([r,s,t],[u]),ichr2)+ igeodesic_coords(icurvature([s,t,r],[u]),ichr2)+ igeodesic_coords(icurvature([t,r,s],[u]),ichr2))$ u u u u (%t4) - ichr2 + ichr2 + ichr2 - ichr2 t s,r t r,s s t,r s r,t u u - ichr2 + ichr2 r t,s r s,t (%i5) canform(%); (%o5) 0

Categories: Package itensor

[ < ] | [ > ] | [ << ] | [ Up ] | [ >> ] | [Top] | [Contents] | [Index] | [ ? ] |

Maxima now has the ability to perform calculations using moving frames. These can be orthonormal frames (tetrads, vielbeins) or an arbitrary frame.

To use frames, you must first set `iframe_flag`

to `true`

. This
causes the Christoffel-symbols, `ichr1`

and `ichr2`

, to be replaced
by the more general frame connection coefficients `icc1`

and `icc2`

in calculations. Speficially, the behavior of `covdiff`

and
`icurvature`

is changed.

The frame is defined by two tensors: the inverse frame field (`ifri`

,
the dual basis tetrad),
and the frame metric `ifg`

. The frame metric is the identity matrix for
orthonormal frames, or the Lorentz metric for orthonormal frames in Minkowski
spacetime. The inverse frame field defines the frame base (unit vectors).
Contraction properties are defined for the frame field and the frame metric.

When `iframe_flag`

is true, many `itensor`

expressions use the frame
metric `ifg`

instead of the metric defined by `imetric`

for
raising and lowerind indices.

IMPORTANT: Setting the variable `iframe_flag`

to `true`

does NOT
undefine the contraction properties of a metric defined by a call to
`defcon`

or `imetric`

. If a frame field is used, it is best to
define the metric by assigning its name to the variable `imetric`

and NOT invoke the `imetric`

function.

Maxima uses these two tensors to define the frame coefficients (`ifc1`

and `ifc2`

) which form part of the connection coefficients (`icc1`

and `icc2`

), as the following example demonstrates:

(%i1) load(itensor); (%o1) /share/tensor/itensor.lisp (%i2) iframe_flag:true; (%o2) true (%i3) ishow(covdiff(v([],[i]),j))$ i i %1 (%t3) v + icc2 v ,j %1 j (%i4) ishow(ev(%,icc2))$ %1 i i (%t4) v ifc2 + v %1 j ,j (%i5) ishow(ev(%,ifc2))$ %1 i %2 i (%t5) v ifg ifc1 + v %1 j %2 ,j (%i6) ishow(ev(%,ifc1))$ %1 i %2 v ifg (ifb - ifb + ifb ) j %2 %1 %2 %1 j %1 j %2 i (%t6) -------------------------------------------------- + v 2 ,j (%i7) ishow(ifb([a,b,c]))$ %3 %4 (%t7) (ifri - ifri ) ifr ifr a %3,%4 a %4,%3 b c

An alternate method is used to compute the frame bracket (`ifb`

) if
the `iframe_bracket_form`

flag is set to `false`

:

(%i8) block([iframe_bracket_form:false],ishow(ifb([a,b,c])))$ %6 %5 %5 %6 (%t8) ifri (ifr ifr - ifr ifr ) a %5 b c,%6 b,%6 c

__Function:__**iframes***()*Since in this version of Maxima, contraction identities for

`ifr`

and`ifri`

are always defined, as is the frame bracket (`ifb`

), this function does nothing.Categories: Package itensor

__Variable:__**ifb**The frame bracket. The contribution of the frame metric to the connection coefficients is expressed using the frame bracket:

- ifb + ifb + ifb c a b b c a a b c ifc1 = -------------------------------- abc 2

The frame bracket itself is defined in terms of the frame field and frame metric. Two alternate methods of computation are used depending on the value of

`frame_bracket_form`

. If true (the default) or if the`itorsion_flag`

is`true`

:d e f ifb = ifr ifr (ifri - ifri - ifri itr ) abc b c a d,e a e,d a f d e

Otherwise:

e d d e ifb = (ifr ifr - ifr ifr ) ifri abc b c,e b,e c a d

Categories: Package itensor

__Variable:__**icc1**Connection coefficients of the first kind. In

`itensor`

, defined asicc1 = ichr1 - ikt1 - inmc1 abc abc abc abc

In this expression, if

`iframe_flag`

is true, the Christoffel-symbol`ichr1`

is replaced with the frame connection coefficient`ifc1`

. If`itorsion_flag`

is`false`

,`ikt1`

will be omitted. It is also omitted if a frame base is used, as the torsion is already calculated as part of the frame bracket. Lastly, of`inonmet_flag`

is`false`

,`inmc1`

will not be present.Categories: Package itensor

__Variable:__**icc2**Connection coefficients of the second kind. In

`itensor`

, defined asc c c c icc2 = ichr2 - ikt2 - inmc2 ab ab ab ab

In this expression, if

`iframe_flag`

is true, the Christoffel-symbol`ichr2`

is replaced with the frame connection coefficient`ifc2`

. If`itorsion_flag`

is`false`

,`ikt2`

will be omitted. It is also omitted if a frame base is used, as the torsion is already calculated as part of the frame bracket. Lastly, of`inonmet_flag`

is`false`

,`inmc2`

will not be present.Categories: Package itensor

__Variable:__**ifc1**Frame coefficient of the first kind (also known as Ricci-rotation coefficients.) This tensor represents the contribution of the frame metric to the connection coefficient of the first kind. Defined as:

- ifb + ifb + ifb c a b b c a a b c ifc1 = -------------------------------- abc 2

Categories: Package itensor

__Variable:__**ifc2**Frame coefficient of the second kind. This tensor represents the contribution of the frame metric to the connection coefficient of the second kind. Defined as a permutation of the frame bracket (

`ifb`

) with the appropriate indices raised and lowered as necessary:c cd ifc2 = ifg ifc1 ab abd

Categories: Package itensor

__Variable:__**ifr**The frame field. Contracts with the inverse frame field (

`ifri`

) to form the frame metric (`ifg`

).Categories: Package itensor

__Variable:__**ifri**The inverse frame field. Specifies the frame base (dual basis vectors). Along with the frame metric, it forms the basis of all calculations based on frames.

Categories: Package itensor

__Variable:__**ifg**The frame metric. Defaults to

`kdelta`

, but can be changed using`components`

.Categories: Package itensor

__Variable:__**ifgi**The inverse frame metric. Contracts with the frame metric (

`ifg`

) to`kdelta`

.Categories: Package itensor

__Option variable:__**iframe_bracket_form**Default value:

`true`

Specifies how the frame bracket (

`ifb`

) is computed.Categories: Package itensor

[ < ] | [ > ] | [ << ] | [ Up ] | [ >> ] | [Top] | [Contents] | [Index] | [ ? ] |

Maxima can now take into account torsion and nonmetricity. When the flag
`itorsion_flag`

is set to `true`

, the contribution of torsion
is added to the connection coefficients. Similarly, when the flag
`inonmet_flag`

is true, nonmetricity components are included.

__Variable:__**inm**The nonmetricity vector. Conformal nonmetricity is defined through the covariant derivative of the metric tensor. Normally zero, the metric tensor's covariant derivative will evaluate to the following when

`inonmet_flag`

is set to`true`

:g =- g inm ij;k ij k

Categories: Package itensor

__Variable:__**inmc1**Covariant permutation of the nonmetricity vector components. Defined as

g inm - inm g - g inm ab c a bc ac b inmc1 = ------------------------------ abc 2

(Substitute

`ifg`

in place of`g`

if a frame metric is used.)Categories: Package itensor

__Variable:__**inmc2**Contravariant permutation of the nonmetricity vector components. Used in the connection coefficients if

`inonmet_flag`

is`true`

. Defined as:c c cd -inm kdelta - kdelta inm + g inm g c a b a b d ab inmc2 = ------------------------------------------- ab 2

(Substitute

`ifg`

in place of`g`

if a frame metric is used.)Categories: Package itensor

__Variable:__**ikt1**Covariant permutation of the torsion tensor (also known as contorsion). Defined as:

d d d -g itr - g itr - itr g ad cb bd ca ab cd ikt1 = ---------------------------------- abc 2

(Substitute

`ifg`

in place of`g`

if a frame metric is used.)Categories: Package itensor

__Variable:__**ikt2**Contravariant permutation of the torsion tensor (also known as contorsion). Defined as:

c cd ikt2 = g ikt1 ab abd

(Substitute

`ifg`

in place of`g`

if a frame metric is used.)Categories: Package itensor

__Variable:__**itr**The torsion tensor. For a metric with torsion, repeated covariant differentiation on a scalar function will not commute, as demonstrated by the following example:

(%i1) load(itensor); (%o1) /share/tensor/itensor.lisp (%i2) imetric:g; (%o2) g (%i3) covdiff( covdiff( f( [], []), i), j) - covdiff( covdiff( f( [], []), j), i)$ (%i4) ishow(%)$ %4 %2 (%t4) f ichr2 - f ichr2 ,%4 j i ,%2 i j (%i5) canform(%); (%o5) 0 (%i6) itorsion_flag:true; (%o6) true (%i7) covdiff( covdiff( f( [], []), i), j) - covdiff( covdiff( f( [], []), j), i)$ (%i8) ishow(%)$ %8 %6 (%t8) f icc2 - f icc2 - f + f ,%8 j i ,%6 i j ,j i ,i j (%i9) ishow(canform(%))$ %1 %1 (%t9) f icc2 - f icc2 ,%1 j i ,%1 i j (%i10) ishow(canform(ev(%,icc2)))$ %1 %1 (%t10) f ikt2 - f ikt2 ,%1 i j ,%1 j i (%i11) ishow(canform(ev(%,ikt2)))$ %2 %1 %2 %1 (%t11) f g ikt1 - f g ikt1 ,%2 i j %1 ,%2 j i %1 (%i12) ishow(factor(canform(rename(expand(ev(%,ikt1))))))$ %3 %2 %1 %1 f g g (itr - itr ) ,%3 %2 %1 j i i j (%t12) ------------------------------------ 2 (%i13) decsym(itr,2,1,[anti(all)],[]); (%o13) done (%i14) defcon(g,g,kdelta); (%o14) done (%i15) subst(g,nounify(g),%th(3))$ (%i16) ishow(canform(contract(%)))$ %1 (%t16) - f itr ,%1 i j

Categories: Package itensor

[ < ] | [ > ] | [ << ] | [ Up ] | [ >> ] | [Top] | [Contents] | [Index] | [ ? ] |

The `itensor`

package can perform operations on totally antisymmetric
covariant tensor fields. A totally antisymmetric tensor field of rank
(0,L) corresponds with a differential L-form. On these objects, a
multiplication operation known as the exterior product, or wedge product,
is defined.

Unfortunately, not all authors agree on the definition of the wedge product. Some authors prefer a definition that corresponds with the notion of antisymmetrization: in these works, the wedge product of two vector fields, for instance, would be defined as

a a - a a i j j i a /\ a = ----------- i j 2

More generally, the product of a p-form and a q-form would be defined as

1 k1..kp l1..lq A /\ B = ------ D A B i1..ip j1..jq (p+q)! i1..ip j1..jq k1..kp l1..lq

where `D`

stands for the Kronecker-delta.

Other authors, however, prefer a "geometric" definition that corresponds with the notion of the volume element:

a /\ a = a a - a a i j i j j i

and, in the general case

1 k1..kp l1..lq A /\ B = ----- D A B i1..ip j1..jq p! q! i1..ip j1..jq k1..kp l1..lq

Since `itensor`

is a tensor algebra package, the first of these two
definitions appears to be the more natural one. Many applications, however,
utilize the second definition. To resolve this dilemma, a flag has been
implemented that controls the behavior of the wedge product: if
`igeowedge_flag`

is `false`

(the default), the first, "tensorial"
definition is used, otherwise the second, "geometric" definition will
be applied.

__Operator:__**~**The wedge product operator is denoted by the tilde

`~`

. This is a binary operator. Its arguments should be expressions involving scalars, covariant tensors of rank one, or covariant tensors of rank`l`

that have been declared antisymmetric in all covariant indices.The behavior of the wedge product operator is controlled by the

`igeowedge_flag`

flag, as in the following example:(%i1) load(itensor); (%o1) /share/tensor/itensor.lisp (%i2) ishow(a([i])~b([j]))$ a b - b a i j i j (%t2) ------------- 2 (%i3) decsym(a,2,0,[anti(all)],[]); (%o3) done (%i4) ishow(a([i,j])~b([k]))$ a b + b a - a b i j k i j k i k j (%t4) --------------------------- 3 (%i5) igeowedge_flag:true; (%o5) true (%i6) ishow(a([i])~b([j]))$ (%t6) a b - b a i j i j (%i7) ishow(a([i,j])~b([k]))$ (%t7) a b + b a - a b i j k i j k i k j

Categories: Package itensor · Operators

__Operator:__**|**The vertical bar

`|`

denotes the "contraction with a vector" binary operation. When a totally antisymmetric covariant tensor is contracted with a contravariant vector, the result is the same regardless which index was used for the contraction. Thus, it is possible to define the contraction operation in an index-free manner.In the

`itensor`

package, contraction with a vector is always carried out with respect to the first index in the literal sorting order. This ensures better simplification of expressions involving the`|`

operator. For instance:(%i1) load(itensor); (%o1) /share/tensor/itensor.lisp (%i2) decsym(a,2,0,[anti(all)],[]); (%o2) done (%i3) ishow(a([i,j],[])|v)$ %1 (%t3) v a %1 j (%i4) ishow(a([j,i],[])|v)$ %1 (%t4) - v a %1 j

Note that it is essential that the tensors used with the

`|`

operator be declared totally antisymmetric in their covariant indices. Otherwise, the results will be incorrect.Categories: Package itensor · Operators

__Function:__**extdiff***(*`expr`,`i`)Computes the exterior derivative of

`expr`with respect to the index`i`. The exterior derivative is formally defined as the wedge product of the partial derivative operator and a differential form. As such, this operation is also controlled by the setting of`igeowedge_flag`

. For instance:(%i1) load(itensor); (%o1) /share/tensor/itensor.lisp (%i2) ishow(extdiff(v([i]),j))$ v - v j,i i,j (%t2) ----------- 2 (%i3) decsym(a,2,0,[anti(all)],[]); (%o3) done (%i4) ishow(extdiff(a([i,j]),k))$ a - a + a j k,i i k,j i j,k (%t4) ------------------------ 3 (%i5) igeowedge_flag:true; (%o5) true (%i6) ishow(extdiff(v([i]),j))$ (%t6) v - v j,i i,j (%i7) ishow(extdiff(a([i,j]),k))$ (%t7) - (a - a + a ) k j,i k i,j j i,k

Categories: Package itensor

__Function:__**hodge***(*`expr`)Compute the Hodge-dual of

`expr`. For instance:(%i1) load(itensor); (%o1) /share/tensor/itensor.lisp (%i2) imetric(g); (%o2) done (%i3) idim(4); (%o3) done (%i4) icounter:100; (%o4) 100 (%i5) decsym(A,3,0,[anti(all)],[])$ (%i6) ishow(A([i,j,k],[]))$ (%t6) A i j k (%i7) ishow(canform(hodge(%)))$ %1 %2 %3 %4 levi_civita g A %1 %102 %2 %3 %4 (%t7) ----------------------------------------- 6 (%i8) ishow(canform(hodge(%)))$ %1 %2 %3 %8 %4 %5 %6 %7 (%t8) levi_civita levi_civita g %1 %106 g g g A /6 %2 %107 %3 %108 %4 %8 %5 %6 %7 (%i9) lc2kdt(%)$ (%i10) %,kdelta$ (%i11) ishow(canform(contract(expand(%))))$ (%t11) - A %106 %107 %108

Categories: Package itensor

__Option variable:__**igeowedge_flag**Default value:

`false`

Controls the behavior of the wedge product and exterior derivative. When set to

`false`

(the default), the notion of differential forms will correspond with that of a totally antisymmetric covariant tensor field. When set to`true`

, differential forms will agree with the notion of the volume element.Categories: Package itensor

[ < ] | [ > ] | [ << ] | [ Up ] | [ >> ] | [Top] | [Contents] | [Index] | [ ? ] |

The `itensor`

package provides limited support for exporting tensor
expressions to TeX. Since `itensor`

expressions appear as function calls,
the regular Maxima `tex`

command will not produce the expected
output. You can try instead the `tentex`

command, which attempts
to translate tensor expressions into appropriately indexed TeX objects.

__Function:__**tentex***(*`expr`)To use the

`tentex`

function, you must first load`tentex`

, as in the following example:(%i1) load(itensor); (%o1) /share/tensor/itensor.lisp (%i2) load(tentex); (%o2) /share/tensor/tentex.lisp (%i3) idummyx:m; (%o3) m (%i4) ishow(icurvature([j,k,l],[i]))$ m1 i m1 i i (%t4) ichr2 ichr2 - ichr2 ichr2 - ichr2 j k m1 l j l m1 k j l,k i + ichr2 j k,l (%i5) tentex(%)$ $$\Gamma_{j\,k}^{m_1}\,\Gamma_{l\,m_1}^{i}-\Gamma_{j\,l}^{m_1}\, \Gamma_{k\,m_1}^{i}-\Gamma_{j\,l,k}^{i}+\Gamma_{j\,k,l}^{i}$$

Note the use of the

`idummyx`

assignment, to avoid the appearance of the percent sign in the TeX expression, which may lead to compile errors.NB: This version of the

`tentex`

function is somewhat experimental.Categories: Package itensor · TeX output

[ < ] | [ > ] | [ << ] | [ Up ] | [ >> ] | [Top] | [Contents] | [Index] | [ ? ] |

The `itensor`

package has the ability to generate Maxima code that can
then be executed in the context of the `ctensor`

package. The function that performs
this task is `ic_convert`

.

__Function:__**ic_convert***(*`eqn`)Converts the

`itensor`

equation`eqn`to a`ctensor`

assignment statement. Implied sums over dummy indices are made explicit while indexed objects are transformed into arrays (the array subscripts are in the order of covariant followed by contravariant indices of the indexed objects). The derivative of an indexed object will be replaced by the noun form of`diff`

taken with respect to`ct_coords`

subscripted by the derivative index. The Christoffel symbols`ichr1`

and`ichr2`

will be translated to`lcs`

and`mcs`

, respectively and if`metricconvert`

is`true`

then all occurrences of the metric with two covariant (contravariant) indices will be renamed to`lg`

(`ug`

). In addition,`do`

loops will be introduced summing over all free indices so that the transformed assignment statement can be evaluated by just doing`ev`

. The following examples demonstrate the features of this function.(%i1) load(itensor); (%o1) /share/tensor/itensor.lisp (%i2) eqn:ishow(t([i,j],[k])=f([],[])*g([l,m],[])*a([],[m],j) *b([i],[l,k]))$ k m l k (%t2) t = f a b g i j ,j i l m (%i3) ic_convert(eqn); (%o3) for i thru dim do (for j thru dim do ( for k thru dim do t : f sum(sum(diff(a , ct_coords ) b i, j, k m j i, l, k g , l, 1, dim), m, 1, dim))) l, m (%i4) imetric(g); (%o4) done (%i5) metricconvert:true; (%o5) true (%i6) ic_convert(eqn); (%o6) for i thru dim do (for j thru dim do ( for k thru dim do t : f sum(sum(diff(a , ct_coords ) b i, j, k m j i, l, k lg , l, 1, dim), m, 1, dim))) l, m

Categories: Package itensor · Package ctensor

[ < ] | [ > ] | [ << ] | [ Up ] | [ >> ] | [Top] | [Contents] | [Index] | [ ? ] |

The following Maxima words are used by the `itensor`

package internally and
should not be redefined:

Keyword Comments ------------------------------------------ indices2() Internal version of indices() conti Lists contravariant indices covi Lists covariant indices of a indexed object deri Lists derivative indices of an indexed object name Returns the name of an indexed object concan irpmon lc0 _lc2kdt0 _lcprod _extlc

[ << ] | [ >> ] | [Top] | [Contents] | [Index] | [ ? ] |

This document was generated by *Robert Dodier* on *November, 9 2015* using *texi2html 1.76*.