Numerical value of Determinant far from what it is supposed to be
$begingroup$
I have a large matrix with numerical components and want to set the determinant to zero using the parameter h
(see below). Naively, I would have expected that h
sets the determinant to (approximately) zero, which isn't the case. On top of that, the order of applying the rule sol
seems to affects the final outcome for a reason to don't see.
My output of the code below is:
{h -> -0.744736 + 4.42008 I}
0.0445865 - 0.0285418 I
0.0545654 - 0.114258 I
I am not familiar with how Mathematica handles floating point numbers so that's probably where my error lies. I have also tried to increase the precision with SetPrecision
, but without success.
mat={{0.16 - (0.36 + 0.001 I) h - (1.35808 -
0.00120116 I) h^2 - (0.49603 - 0.00137214 I) h^3 - (0.11307 -
0.00105331 I) h^4 + (0.249794 - 0.000384238 I) h^5 -
0.39204 h^6, -0.1711 h^2 ((-0.143205 +
0.000186623 I) - (0.36 + 0.001 I) h - (1.15528 +
0.00267142 I) h^2 - (0.637164 - 0.0009801 I) h^3 +
1. h^4), (0.0000353051 - 1.67323*10^-6 I) h^4,
0}, {-0.1711 h^2 ((-0.143205 +
0.000186623 I) - (0.36 + 0.001 I) h + (19.6394 -
0.00267142 I) h^2 - (0.637164 - 0.0009801 I) h^3 + 1. h^4),
0.16 - (0.36 + 0.001 I) h - (11.3534 -
0.00119507 I) h^2 - (0.484268 - 0.00140481 I) h^3 - (5.0714 -
0.00114074 I) h^4 + (0.27061 - 0.000416258 I) h^5 -
0.42471 h^6, -0.223386 h^2 ((-0.143205 +
0.000186623 I) - (0.36 + 0.001 I) h + (4.95742 -
0.00267502 I) h^2 - (0.637164 - 0.0009801 I) h^3 +
1. h^4), (0.0000484431 - 2.29589*10^-6 I) h^4}, {(0.0000353051 -
1.67323*10^-6 I) h^4, -0.223386 h^2 ((-0.143205 +
0.000186623 I) - (0.36 + 0.001 I) h + (41.4016 -
0.00267502 I) h^2 - (0.637164 - 0.0009801 I) h^3 + 1. h^4),
0.16 - (0.36 + 0.001 I) h - (29.348 -
0.00118803 I) h^2 - (0.470698 - 0.00144251 I) h^3 - (13.9095 -
0.00124106 I) h^4 + (0.294629 - 0.000453204 I) h^5 -
0.462406 h^6, -0.234771 h^2 ((-0.143205 +
0.000186623 I) - (0.36 + 0.001 I) h + (19.0123 -
0.00267319 I) h^2 - (0.637164 - 0.0009801 I) h^3 +
1. h^4)}, {0, (0.0000484431 -
2.29589*10^-6 I) h^4, -0.234771 h^2 ((-0.143205 +
0.000186623 I) - (0.36 + 0.001 I) h + (71.32 -
0.00267319 I) h^2 - (0.637164 - 0.0009801 I) h^3 + 1. h^4),
0.16 - (0.36 + 0.001 I) h - (55.3462 -
0.00118568 I) h^2 - (0.466163 - 0.0014551 I) h^3 - (26.6556 -
0.00127449 I) h^4 + (0.302655 - 0.000465551 I) h^5 -
0.475003 h^6}};
sol = Part[NSolve[Det[%] == 0, h], 1]
Det[mat /. sol]
Det[mat] /. sol
linear-algebra
New contributor
$endgroup$
add a comment |
$begingroup$
I have a large matrix with numerical components and want to set the determinant to zero using the parameter h
(see below). Naively, I would have expected that h
sets the determinant to (approximately) zero, which isn't the case. On top of that, the order of applying the rule sol
seems to affects the final outcome for a reason to don't see.
My output of the code below is:
{h -> -0.744736 + 4.42008 I}
0.0445865 - 0.0285418 I
0.0545654 - 0.114258 I
I am not familiar with how Mathematica handles floating point numbers so that's probably where my error lies. I have also tried to increase the precision with SetPrecision
, but without success.
mat={{0.16 - (0.36 + 0.001 I) h - (1.35808 -
0.00120116 I) h^2 - (0.49603 - 0.00137214 I) h^3 - (0.11307 -
0.00105331 I) h^4 + (0.249794 - 0.000384238 I) h^5 -
0.39204 h^6, -0.1711 h^2 ((-0.143205 +
0.000186623 I) - (0.36 + 0.001 I) h - (1.15528 +
0.00267142 I) h^2 - (0.637164 - 0.0009801 I) h^3 +
1. h^4), (0.0000353051 - 1.67323*10^-6 I) h^4,
0}, {-0.1711 h^2 ((-0.143205 +
0.000186623 I) - (0.36 + 0.001 I) h + (19.6394 -
0.00267142 I) h^2 - (0.637164 - 0.0009801 I) h^3 + 1. h^4),
0.16 - (0.36 + 0.001 I) h - (11.3534 -
0.00119507 I) h^2 - (0.484268 - 0.00140481 I) h^3 - (5.0714 -
0.00114074 I) h^4 + (0.27061 - 0.000416258 I) h^5 -
0.42471 h^6, -0.223386 h^2 ((-0.143205 +
0.000186623 I) - (0.36 + 0.001 I) h + (4.95742 -
0.00267502 I) h^2 - (0.637164 - 0.0009801 I) h^3 +
1. h^4), (0.0000484431 - 2.29589*10^-6 I) h^4}, {(0.0000353051 -
1.67323*10^-6 I) h^4, -0.223386 h^2 ((-0.143205 +
0.000186623 I) - (0.36 + 0.001 I) h + (41.4016 -
0.00267502 I) h^2 - (0.637164 - 0.0009801 I) h^3 + 1. h^4),
0.16 - (0.36 + 0.001 I) h - (29.348 -
0.00118803 I) h^2 - (0.470698 - 0.00144251 I) h^3 - (13.9095 -
0.00124106 I) h^4 + (0.294629 - 0.000453204 I) h^5 -
0.462406 h^6, -0.234771 h^2 ((-0.143205 +
0.000186623 I) - (0.36 + 0.001 I) h + (19.0123 -
0.00267319 I) h^2 - (0.637164 - 0.0009801 I) h^3 +
1. h^4)}, {0, (0.0000484431 -
2.29589*10^-6 I) h^4, -0.234771 h^2 ((-0.143205 +
0.000186623 I) - (0.36 + 0.001 I) h + (71.32 -
0.00267319 I) h^2 - (0.637164 - 0.0009801 I) h^3 + 1. h^4),
0.16 - (0.36 + 0.001 I) h - (55.3462 -
0.00118568 I) h^2 - (0.466163 - 0.0014551 I) h^3 - (26.6556 -
0.00127449 I) h^4 + (0.302655 - 0.000465551 I) h^5 -
0.475003 h^6}};
sol = Part[NSolve[Det[%] == 0, h], 1]
Det[mat /. sol]
Det[mat] /. sol
linear-algebra
New contributor
$endgroup$
$begingroup$
Correction: I get the output0.118714 - 0.0526506 I
(as the second output) and0.106201 - 0.0979004 I
(as the third output); sorry, used a different matrix. But the problem still stands.
$endgroup$
– Nils
4 hours ago
add a comment |
$begingroup$
I have a large matrix with numerical components and want to set the determinant to zero using the parameter h
(see below). Naively, I would have expected that h
sets the determinant to (approximately) zero, which isn't the case. On top of that, the order of applying the rule sol
seems to affects the final outcome for a reason to don't see.
My output of the code below is:
{h -> -0.744736 + 4.42008 I}
0.0445865 - 0.0285418 I
0.0545654 - 0.114258 I
I am not familiar with how Mathematica handles floating point numbers so that's probably where my error lies. I have also tried to increase the precision with SetPrecision
, but without success.
mat={{0.16 - (0.36 + 0.001 I) h - (1.35808 -
0.00120116 I) h^2 - (0.49603 - 0.00137214 I) h^3 - (0.11307 -
0.00105331 I) h^4 + (0.249794 - 0.000384238 I) h^5 -
0.39204 h^6, -0.1711 h^2 ((-0.143205 +
0.000186623 I) - (0.36 + 0.001 I) h - (1.15528 +
0.00267142 I) h^2 - (0.637164 - 0.0009801 I) h^3 +
1. h^4), (0.0000353051 - 1.67323*10^-6 I) h^4,
0}, {-0.1711 h^2 ((-0.143205 +
0.000186623 I) - (0.36 + 0.001 I) h + (19.6394 -
0.00267142 I) h^2 - (0.637164 - 0.0009801 I) h^3 + 1. h^4),
0.16 - (0.36 + 0.001 I) h - (11.3534 -
0.00119507 I) h^2 - (0.484268 - 0.00140481 I) h^3 - (5.0714 -
0.00114074 I) h^4 + (0.27061 - 0.000416258 I) h^5 -
0.42471 h^6, -0.223386 h^2 ((-0.143205 +
0.000186623 I) - (0.36 + 0.001 I) h + (4.95742 -
0.00267502 I) h^2 - (0.637164 - 0.0009801 I) h^3 +
1. h^4), (0.0000484431 - 2.29589*10^-6 I) h^4}, {(0.0000353051 -
1.67323*10^-6 I) h^4, -0.223386 h^2 ((-0.143205 +
0.000186623 I) - (0.36 + 0.001 I) h + (41.4016 -
0.00267502 I) h^2 - (0.637164 - 0.0009801 I) h^3 + 1. h^4),
0.16 - (0.36 + 0.001 I) h - (29.348 -
0.00118803 I) h^2 - (0.470698 - 0.00144251 I) h^3 - (13.9095 -
0.00124106 I) h^4 + (0.294629 - 0.000453204 I) h^5 -
0.462406 h^6, -0.234771 h^2 ((-0.143205 +
0.000186623 I) - (0.36 + 0.001 I) h + (19.0123 -
0.00267319 I) h^2 - (0.637164 - 0.0009801 I) h^3 +
1. h^4)}, {0, (0.0000484431 -
2.29589*10^-6 I) h^4, -0.234771 h^2 ((-0.143205 +
0.000186623 I) - (0.36 + 0.001 I) h + (71.32 -
0.00267319 I) h^2 - (0.637164 - 0.0009801 I) h^3 + 1. h^4),
0.16 - (0.36 + 0.001 I) h - (55.3462 -
0.00118568 I) h^2 - (0.466163 - 0.0014551 I) h^3 - (26.6556 -
0.00127449 I) h^4 + (0.302655 - 0.000465551 I) h^5 -
0.475003 h^6}};
sol = Part[NSolve[Det[%] == 0, h], 1]
Det[mat /. sol]
Det[mat] /. sol
linear-algebra
New contributor
$endgroup$
I have a large matrix with numerical components and want to set the determinant to zero using the parameter h
(see below). Naively, I would have expected that h
sets the determinant to (approximately) zero, which isn't the case. On top of that, the order of applying the rule sol
seems to affects the final outcome for a reason to don't see.
My output of the code below is:
{h -> -0.744736 + 4.42008 I}
0.0445865 - 0.0285418 I
0.0545654 - 0.114258 I
I am not familiar with how Mathematica handles floating point numbers so that's probably where my error lies. I have also tried to increase the precision with SetPrecision
, but without success.
mat={{0.16 - (0.36 + 0.001 I) h - (1.35808 -
0.00120116 I) h^2 - (0.49603 - 0.00137214 I) h^3 - (0.11307 -
0.00105331 I) h^4 + (0.249794 - 0.000384238 I) h^5 -
0.39204 h^6, -0.1711 h^2 ((-0.143205 +
0.000186623 I) - (0.36 + 0.001 I) h - (1.15528 +
0.00267142 I) h^2 - (0.637164 - 0.0009801 I) h^3 +
1. h^4), (0.0000353051 - 1.67323*10^-6 I) h^4,
0}, {-0.1711 h^2 ((-0.143205 +
0.000186623 I) - (0.36 + 0.001 I) h + (19.6394 -
0.00267142 I) h^2 - (0.637164 - 0.0009801 I) h^3 + 1. h^4),
0.16 - (0.36 + 0.001 I) h - (11.3534 -
0.00119507 I) h^2 - (0.484268 - 0.00140481 I) h^3 - (5.0714 -
0.00114074 I) h^4 + (0.27061 - 0.000416258 I) h^5 -
0.42471 h^6, -0.223386 h^2 ((-0.143205 +
0.000186623 I) - (0.36 + 0.001 I) h + (4.95742 -
0.00267502 I) h^2 - (0.637164 - 0.0009801 I) h^3 +
1. h^4), (0.0000484431 - 2.29589*10^-6 I) h^4}, {(0.0000353051 -
1.67323*10^-6 I) h^4, -0.223386 h^2 ((-0.143205 +
0.000186623 I) - (0.36 + 0.001 I) h + (41.4016 -
0.00267502 I) h^2 - (0.637164 - 0.0009801 I) h^3 + 1. h^4),
0.16 - (0.36 + 0.001 I) h - (29.348 -
0.00118803 I) h^2 - (0.470698 - 0.00144251 I) h^3 - (13.9095 -
0.00124106 I) h^4 + (0.294629 - 0.000453204 I) h^5 -
0.462406 h^6, -0.234771 h^2 ((-0.143205 +
0.000186623 I) - (0.36 + 0.001 I) h + (19.0123 -
0.00267319 I) h^2 - (0.637164 - 0.0009801 I) h^3 +
1. h^4)}, {0, (0.0000484431 -
2.29589*10^-6 I) h^4, -0.234771 h^2 ((-0.143205 +
0.000186623 I) - (0.36 + 0.001 I) h + (71.32 -
0.00267319 I) h^2 - (0.637164 - 0.0009801 I) h^3 + 1. h^4),
0.16 - (0.36 + 0.001 I) h - (55.3462 -
0.00118568 I) h^2 - (0.466163 - 0.0014551 I) h^3 - (26.6556 -
0.00127449 I) h^4 + (0.302655 - 0.000465551 I) h^5 -
0.475003 h^6}};
sol = Part[NSolve[Det[%] == 0, h], 1]
Det[mat /. sol]
Det[mat] /. sol
linear-algebra
linear-algebra
New contributor
New contributor
edited 1 hour ago
J. M. is computer-less♦
97.3k10303463
97.3k10303463
New contributor
asked 4 hours ago
NilsNils
111
111
New contributor
New contributor
$begingroup$
Correction: I get the output0.118714 - 0.0526506 I
(as the second output) and0.106201 - 0.0979004 I
(as the third output); sorry, used a different matrix. But the problem still stands.
$endgroup$
– Nils
4 hours ago
add a comment |
$begingroup$
Correction: I get the output0.118714 - 0.0526506 I
(as the second output) and0.106201 - 0.0979004 I
(as the third output); sorry, used a different matrix. But the problem still stands.
$endgroup$
– Nils
4 hours ago
$begingroup$
Correction: I get the output
0.118714 - 0.0526506 I
(as the second output) and 0.106201 - 0.0979004 I
(as the third output); sorry, used a different matrix. But the problem still stands.$endgroup$
– Nils
4 hours ago
$begingroup$
Correction: I get the output
0.118714 - 0.0526506 I
(as the second output) and 0.106201 - 0.0979004 I
(as the third output); sorry, used a different matrix. But the problem still stands.$endgroup$
– Nils
4 hours ago
add a comment |
1 Answer
1
active
oldest
votes
$begingroup$
As you suspected when you mentioned SetPrecision
, you are encountering numerical errors, probably catastrophic loss of precision when calculating the determinant; your calculations do in fact need to be carried out at higher precision.
If possible, you would want to use exact numbers in your matrix, or take advantage of the arbitrary-precision capabilities of Mathematica. For instance, we can convert all machine-precision numbers to arbitrary-precision ones with a number of digits of precision equal to that of common machine-precision numbers on your machine using SetPrecision
(see also $MachinePrecision
in the documentation):
det = Det[SetPrecision[mat, $MachinePrecision]];
sol = NSolve[det == 0, h];
det /. sol // PossibleZeroQ
(* Out:
{True, True, True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True, True, True,
True, True}
*)
As you can see, all those values of $h$ do bring your determinant reasonably close to zero, within machine-precision approximations.
$endgroup$
add a comment |
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$begingroup$
As you suspected when you mentioned SetPrecision
, you are encountering numerical errors, probably catastrophic loss of precision when calculating the determinant; your calculations do in fact need to be carried out at higher precision.
If possible, you would want to use exact numbers in your matrix, or take advantage of the arbitrary-precision capabilities of Mathematica. For instance, we can convert all machine-precision numbers to arbitrary-precision ones with a number of digits of precision equal to that of common machine-precision numbers on your machine using SetPrecision
(see also $MachinePrecision
in the documentation):
det = Det[SetPrecision[mat, $MachinePrecision]];
sol = NSolve[det == 0, h];
det /. sol // PossibleZeroQ
(* Out:
{True, True, True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True, True, True,
True, True}
*)
As you can see, all those values of $h$ do bring your determinant reasonably close to zero, within machine-precision approximations.
$endgroup$
add a comment |
$begingroup$
As you suspected when you mentioned SetPrecision
, you are encountering numerical errors, probably catastrophic loss of precision when calculating the determinant; your calculations do in fact need to be carried out at higher precision.
If possible, you would want to use exact numbers in your matrix, or take advantage of the arbitrary-precision capabilities of Mathematica. For instance, we can convert all machine-precision numbers to arbitrary-precision ones with a number of digits of precision equal to that of common machine-precision numbers on your machine using SetPrecision
(see also $MachinePrecision
in the documentation):
det = Det[SetPrecision[mat, $MachinePrecision]];
sol = NSolve[det == 0, h];
det /. sol // PossibleZeroQ
(* Out:
{True, True, True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True, True, True,
True, True}
*)
As you can see, all those values of $h$ do bring your determinant reasonably close to zero, within machine-precision approximations.
$endgroup$
add a comment |
$begingroup$
As you suspected when you mentioned SetPrecision
, you are encountering numerical errors, probably catastrophic loss of precision when calculating the determinant; your calculations do in fact need to be carried out at higher precision.
If possible, you would want to use exact numbers in your matrix, or take advantage of the arbitrary-precision capabilities of Mathematica. For instance, we can convert all machine-precision numbers to arbitrary-precision ones with a number of digits of precision equal to that of common machine-precision numbers on your machine using SetPrecision
(see also $MachinePrecision
in the documentation):
det = Det[SetPrecision[mat, $MachinePrecision]];
sol = NSolve[det == 0, h];
det /. sol // PossibleZeroQ
(* Out:
{True, True, True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True, True, True,
True, True}
*)
As you can see, all those values of $h$ do bring your determinant reasonably close to zero, within machine-precision approximations.
$endgroup$
As you suspected when you mentioned SetPrecision
, you are encountering numerical errors, probably catastrophic loss of precision when calculating the determinant; your calculations do in fact need to be carried out at higher precision.
If possible, you would want to use exact numbers in your matrix, or take advantage of the arbitrary-precision capabilities of Mathematica. For instance, we can convert all machine-precision numbers to arbitrary-precision ones with a number of digits of precision equal to that of common machine-precision numbers on your machine using SetPrecision
(see also $MachinePrecision
in the documentation):
det = Det[SetPrecision[mat, $MachinePrecision]];
sol = NSolve[det == 0, h];
det /. sol // PossibleZeroQ
(* Out:
{True, True, True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True, True, True,
True, True}
*)
As you can see, all those values of $h$ do bring your determinant reasonably close to zero, within machine-precision approximations.
edited 4 hours ago
answered 4 hours ago
MarcoBMarcoB
37.3k556113
37.3k556113
add a comment |
add a comment |
Nils is a new contributor. Be nice, and check out our Code of Conduct.
Nils is a new contributor. Be nice, and check out our Code of Conduct.
Nils is a new contributor. Be nice, and check out our Code of Conduct.
Nils is a new contributor. Be nice, and check out our Code of Conduct.
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$begingroup$
Correction: I get the output
0.118714 - 0.0526506 I
(as the second output) and0.106201 - 0.0979004 I
(as the third output); sorry, used a different matrix. But the problem still stands.$endgroup$
– Nils
4 hours ago