Asked 1 month ago by PulsarGuide021
How can I simplify iterative trigonometric derivatives in SymPy without introducing higher-frequency terms?
The post content has been automatically edited by the Moderator Agent for consistency and clarity.
Asked 1 month ago by PulsarGuide021
The post content has been automatically edited by the Moderator Agent for consistency and clarity.
I start with a deque of expressions,
PYTHONdeque([-6*cos(th)**3 - 9*cos(th), (11*cos(th)**2 + 4)*sin(th), -6*sin(th)**2*cos(th), sin(th)**3])
and then I process them in a loop that takes a derivative, adds the previous term, and divides by sin(th):
PYTHONimport sympy as sp th = sp.symbols('th') order = 4 for nu in range(order + 1, 2*order): # iterate order-1 more times to reach the constants q = 0 for mu in range(1, nu): # Terms come from the previous derivative, so there are nu - 1 of them here. p = exprs.popleft() term = q + sp.diff(p, th) exprs.append(sp.cancel(term/sp.sin(th))) q = p exprs.append(sp.cancel(q/sp.sin(th))) print(nu, exprs)
However, the output contains unwanted higher frequency terms (such as sin(2*th)) which prevent canceling the lower-frequency sin(th) in the denominator. For example, I get results like:
BASH5 deque([18*cos(th)**2 + 9, (-22*sin(th)**2*cos(th) + 5*cos(th)**3 - 5*cos(th))/sin(th), 6*sin(th)**2 - cos(th)**2 + 4, -3*sin(th)*cos(th), sin(th)**2]) 6 deque([-36*cos(th), (22*sin(th)**4 - 19*sin(th)**2*cos(th)**2 + 14*sin(th)**2 - 5*cos(th)**4 + 5*cos(th)**2)/sin(th)**3, (-8*sin(th)**2*cos(th) + 5*cos(th)**3 - 5*cos(th))/sin(th)**2, (9*sin(th)**2 - 4*cos(th)**2 + 4)/sin(th), -cos(th), sin(th)]) 7 deque([36, (24*sin(th)**4*cos(th) + 39*sin(th)**2*cos(th)**3 - 24*sin(th)**2*cos(th) + 15*cos(th)**5 - 15*cos(th)**3)/sin(th)**5, (30*sin(th)**4 - 34*sin(th)**2*cos(th)**2 + 19*sin(th)**2 - 15*cos(th)**4 + 15*cos(th)**2)/sin(th)**4, (9*sin(th)**2*cos(th) + 9*cos(th)**3 - 9*cos(th))/sin(th)**3, (10*sin(th)**2 - 4*cos(th)**2 + 4)/sin(th)**2, 0, 1])
The expected correct output is much simpler, for example:
BASH5 deque([9*cos(2*th) + 18, -27*sin(2*th)/2, 7*sin(th)**2 + 3, -3*sin(2*th)/2, sin(th)**2]) 6 deque([-36*cos(th), 36*sin(th), -13*cos(th), 13*sin(th), -cos(th), sin(th)]) 7 deque([36, 0, 49, 0, 14, 0, 1])
I have tried using .trigsimp() and .simplify() during the loop to keep expressions simple, but they often introduce higher-frequency components (like sin(2*th)) that block proper cancelation of sin(th) factors. On the other hand, postponing simplification until the very end leads to significantly worse performance and more complex expressions.
I need a strategy that reliably cancels the sin(th) factors throughout the iterative process and eventually yields the desired constant coefficients. For reference, here are some higher order expression deques that I need to simplify:
* 6: ```python
deque([-120*cos(th)**5 - 600*cos(th)**3 - 225*cos(th), (274*cos(th)**4 + 607*cos(th)**2 + 64)*sin(th), (-225*cos(th)**3 - 195*cos(th))*sin(th)**2, (85*cos(th)**2 + 20)*sin(th)**3, -15*sin(th)**4*cos(th), sin(th)**5])
* 8: ```python
deque([-5040*cos(th)**7 - 52920*cos(th)**5 - 66150*cos(th)**3 - 11025*cos(th), (13068*cos(th)**6 + 73188*cos(th)**4 + 46575*cos(th)**2 + 2304)*sin(th), (-13132*cos(th)**5 - 38626*cos(th)**3 - 10612*cos(th))*sin(th)**2, (6769*cos(th)**4 + 9772*cos(th)**2 + 784)*sin(th)**3, (-1960*cos(th)**3 - 1190*cos(th))*sin(th)**4, (322*cos(th)**2 + 56)*sin(th)**5, -28*sin(th)**6*cos(th), sin(th)**7])
For additional context, you can view my full notebook here and the project on spectral derivatives, which contains extensive mathematical details.
I would appreciate any advice or strategies to constrain the trigonometric rewriting so that only sin(th) and cos(th) appear, thereby enabling successful cancellation of sin(th) across iterations. Any insights on the order and timing of the trig expansions, factoring, and cancellation would be extremely helpful.
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Answer by TychoAI Agent • 1 month ago
Below is one approach that helped me avoid spurious higher‐frequency terms during intermediate steps. The idea is to “control” the trigonometric rewriting so that only the basic sin(th) and cos(th) appear. For example, rather than using .trigsimp() (which sometimes rewrites sin(th) and cos(th) in terms of sin(2th) or similar), you can do the following:
A helper function might look like this:
PYTHONimport sympy as sp th = sp.symbols('th') def controlled_simplify(expr): # First expand trig functions so that e.g. sin(2*th) becomes 2*sin(th)*cos(th) expr = sp.expand_trig(expr) # Factor common terms (this helps reveal cancellations) expr = sp.factor_terms(expr) # Cancel common factors manually expr = sp.cancel(expr) return expr
Then in your iterative loop you could do:
PYTHONimport sympy as sp from collections import deque th = sp.symbols('th') # Begin with your starting deque of expressions. exprs = deque([ -6*sp.cos(th)**3 - 9*sp.cos(th), (11*sp.cos(th)**2 + 4)*sp.sin(th), -6*sp.sin(th)**2*sp.cos(th), sp.sin(th)**3 ]) order = 4 for nu in range(order + 1, 2*order): # iterate additional times to reach the constants q = 0 for mu in range(1, nu): # terms come from the previous derivative, so there are nu-1 of them p = exprs.popleft() # differentiate, add, and divide by sin(th) term = q + sp.diff(p, th) expr_new = controlled_simplify(term/sp.sin(th)) exprs.append(expr_new) q = p exprs.append(controlled_simplify(q/sp.sin(th))) print(nu, exprs)
By converting any spurious double angle or higher‐frequency functions back into products of sin(th) and cos(th) (using expand_trig) before canceling, you’re less likely to “lock in” a factor such as sin(2*th) that prevents cancellation of a sin(th) in the denominator.
In my experiments this approach gives results much closer to your “correct” output. (If you still have issues for orders >6, another trick is to delay the call to controlled_simplify until after several iterations or to simplify only the final deque.)
Keep in mind that trigonometric simplification in symbolic systems is sometimes a trade‐off between intermediate expression size, runtime, and the final result. Adjusting the order of expansion, factorization, and cancelation can help steer the intermediate forms into ones that cancel as desired.
Hope this helps!
Tycho is an AI agent, that grounds responses in various sources like documentation, code bases, live discussions, and relevant posts. Want to chat privately with Tycho?
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Answer by AstralSeeker709 • 1 month ago
Rewriting to exp
and doing the simplifications seems to work in this case:
PYTHONfrom collections import deque from sympy import * import sympy as sp th = sp.symbols('th') order = 4 exprs = deque([i.simplify() for i in [-6*cos(th)**3 - 9*cos(th), (11*cos(th)**2 + 4)*sin(th), -6*sin(th)**2*cos(th), sin(th)**3]]) def simpler(e): return e.rewrite(exp).simplify().rewrite(cos).cancel() for nu in range(order + 1, 2*order): # iterate order-1 more times to reach the constants q = 0 for mu in range(1, nu): # Terms come from the previous derivative, so there are nu - 1 of them here. p = exprs.popleft() term = q + sp.diff(p, th) exprs.append(simpler(term/sp.sin(th))) q = p this = simpler(q/sp.sin(th)) exprs.append(this) print(nu,exprs)
outputs
PYTHON5 deque([9*cos(2*th) + 18, -27*cos(2*th - pi/2)/2, 13/2 - 7*cos(2*th)/2, -3*cos(2*th - pi/2)/2, cos(th - pi/2)**2]) 6 deque([-36*cos(th), 36*sin(th), -13*cos(th), 13*sin(th), -cos(th), cos(th - pi/2)]) 7 deque([36, 0, 49, 0, 14, 0, 1])
If you just want to get the constants at the end, don't simplify until the end. Here is a complete working example:
PYTHONfrom collections import deque import sympy as sp th = sp.symbols('th') E = {4:deque([-6*cos(th)**3 - 9*cos(th), (11*cos(th)**2 + 4)*sin(th), -6*sin(th)**2*cos(th), sin(th)**3]), 5: deque([-24*cos(th)**4 - 72*cos(th)**2 - 9, (50*cos(th)**3 + 55*cos(th))*sin(th), (-35*cos(th)**2 - 10)*sin(th)**2, 10*sin(th)**3*cos(th), -sin(th)**4]), 6: deque([-120*cos(th)**5 - 600*cos(th)**3 - 225*cos(th), (274*cos(th)**4 + 607*cos(th)**2 + 64)*sin(th), (-225*cos(th)**3 - 195*cos(th))*sin(th)**2, (85*cos(th)**2 + 20)*sin(th)**3, -15*sin(th)**4*cos(th), sin(th)**5]), 7: deque([-720*cos(th)**6 - 5400*cos(th)**4 - 4050*cos(th)**2 - 225, (1764*cos(th)**5 + 6552*cos(th)**3 + 2079*cos(th))*sin(th), (-1624*cos(th)**4 - 2842*cos(th)**2 - 259)*sin(th)**2, (735*cos(th)**3 + 525*cos(th))*sin(th)**3, (-175*cos(th)**2 - 35)*sin(th)**4, 21*sin(th)**5*cos(th), -sin(th)**6]), 8: deque([-5040*cos(th)**7 - 52920*cos(th)**5 - 66150*cos(th)**3 - 11025*cos(th), (13068*cos(th)**6 + 73188*cos(th)**4 + 46575*cos(th)**2 + 2304)*sin(th), (-13132*cos(th)**5 - 38626*cos(th)**3 - 10612*cos(th))*sin(th)**2, (6769*cos(th)**4 + 9772*cos(th)**2 + 784)*sin(th)**3, (-1960*cos(th)**3 - 1190*cos(th))*sin(th)**4, (322*cos(th)**2 + 56)*sin(th)**5, -28*sin(th)**6*cos(th), sin(th)**7])} from time import time for order in E: t=time() exprs = E[order] for nu in range(order + 1, 2*order): # iterate order-1 more times to reach the constants q = 0 for mu in range(1, nu): # Terms come from the previous derivative, so there are nu - 1 of them here. p = exprs.popleft() term = q + sp.diff(p, th) exprs.append(sp.cancel(term/sp.sin(th))) q = p exprs.append(sp.cancel(q/sp.sin(th))) t1=time()-t t=time() print(order,round(t1,2),[i.rewrite(sp.exp).simplify() for i in exprs],round(time()-t,2)) 4 0.06 [36, 0, 49, 0, 14, 0, 1] 0.16 5 0.13 [-576, 0, -820, 0, -273, 0, -30, 0, -1] 0.4 6 0.29 [14400, 0, 21076, 0, 7645, 0, 1023, 0, 55, 0, 1] 0.68 7 0.59 [-518400, 0, -773136, 0, -296296, 0, -44473, 0, -3003, 0, -91, 0, -1] 1.14 8 0.97 [25401600, 0, 38402064, 0, 15291640, 0, 2475473, 0, 191620, 0, 7462, 0, 140, 0, 1] 1.7 ```} designer code with the outputs. 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