Fixed-point method for $x=x+wf(x)$
The equation $f(x)=x^3+x-1=0$ admites a unique solution $alphain[0;1]$. I want to approximate the solution $alpha$ using fixed-point method, for that, sitting
$x=g(x)=x+wf(x)$ an equivalent of $f(x)=0$. So we get for $g(0), g(1)in[0;1]$, $win[-1;0]$.
My question: $w$ belongs to which interval in order to apply the fixed-point method.
numerical-methods fixed-point-theorems
add a comment |
The equation $f(x)=x^3+x-1=0$ admites a unique solution $alphain[0;1]$. I want to approximate the solution $alpha$ using fixed-point method, for that, sitting
$x=g(x)=x+wf(x)$ an equivalent of $f(x)=0$. So we get for $g(0), g(1)in[0;1]$, $win[-1;0]$.
My question: $w$ belongs to which interval in order to apply the fixed-point method.
numerical-methods fixed-point-theorems
And your take on this would be, what?
– Did
Jan 4 at 10:59
The fixed-point method cannot be applied for all $win[-1;0]$ see for example $w=-1$ and $w=-0.5$ do not work.
– HB khaled
Jan 4 at 11:04
Yes. And? $ $ $ $
– Did
Jan 4 at 11:05
I think that all $win [-1;-0.5]$ the method does not work, so $win [-0.5;0]$. And the other values of $w$?
– HB khaled
Jan 4 at 11:19
add a comment |
The equation $f(x)=x^3+x-1=0$ admites a unique solution $alphain[0;1]$. I want to approximate the solution $alpha$ using fixed-point method, for that, sitting
$x=g(x)=x+wf(x)$ an equivalent of $f(x)=0$. So we get for $g(0), g(1)in[0;1]$, $win[-1;0]$.
My question: $w$ belongs to which interval in order to apply the fixed-point method.
numerical-methods fixed-point-theorems
The equation $f(x)=x^3+x-1=0$ admites a unique solution $alphain[0;1]$. I want to approximate the solution $alpha$ using fixed-point method, for that, sitting
$x=g(x)=x+wf(x)$ an equivalent of $f(x)=0$. So we get for $g(0), g(1)in[0;1]$, $win[-1;0]$.
My question: $w$ belongs to which interval in order to apply the fixed-point method.
numerical-methods fixed-point-theorems
numerical-methods fixed-point-theorems
edited Jan 4 at 11:29
HB khaled
asked Jan 4 at 10:56
HB khaledHB khaled
12410
12410
And your take on this would be, what?
– Did
Jan 4 at 10:59
The fixed-point method cannot be applied for all $win[-1;0]$ see for example $w=-1$ and $w=-0.5$ do not work.
– HB khaled
Jan 4 at 11:04
Yes. And? $ $ $ $
– Did
Jan 4 at 11:05
I think that all $win [-1;-0.5]$ the method does not work, so $win [-0.5;0]$. And the other values of $w$?
– HB khaled
Jan 4 at 11:19
add a comment |
And your take on this would be, what?
– Did
Jan 4 at 10:59
The fixed-point method cannot be applied for all $win[-1;0]$ see for example $w=-1$ and $w=-0.5$ do not work.
– HB khaled
Jan 4 at 11:04
Yes. And? $ $ $ $
– Did
Jan 4 at 11:05
I think that all $win [-1;-0.5]$ the method does not work, so $win [-0.5;0]$. And the other values of $w$?
– HB khaled
Jan 4 at 11:19
And your take on this would be, what?
– Did
Jan 4 at 10:59
And your take on this would be, what?
– Did
Jan 4 at 10:59
The fixed-point method cannot be applied for all $win[-1;0]$ see for example $w=-1$ and $w=-0.5$ do not work.
– HB khaled
Jan 4 at 11:04
The fixed-point method cannot be applied for all $win[-1;0]$ see for example $w=-1$ and $w=-0.5$ do not work.
– HB khaled
Jan 4 at 11:04
Yes. And? $ $ $ $
– Did
Jan 4 at 11:05
Yes. And? $ $ $ $
– Did
Jan 4 at 11:05
I think that all $win [-1;-0.5]$ the method does not work, so $win [-0.5;0]$. And the other values of $w$?
– HB khaled
Jan 4 at 11:19
I think that all $win [-1;-0.5]$ the method does not work, so $win [-0.5;0]$. And the other values of $w$?
– HB khaled
Jan 4 at 11:19
add a comment |
1 Answer
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You can visualize this iteration using phase plots for the iteration $x_{k+1}=g(x_k)$.
The gallery shows behavior from periodic cycles and then convergence to the fixed point, the root of $f$, with fastest convergence around $w=-0.6$. You can quantify this by considering the contraction factor $$q=max_{xin[0,1]}|g'(x)|=max|1-wf'(x)|.$$ Then if $|2g(0.5)-1|=|2wf(0.5)|<1-q$ one has also $$g([0,1])subset[g(0.5)-0.5q,, g(0.5)+0.5q]subset[0,1]$$ by the mean value theorem, and thus a fixed point.
Calculating $g'(x)=1+w(3x^2+1)$, this gives $max_{xin[0;1]}|g'(x)|=max|1+w(3x^2+1) |=|1+4w|$.
– HB khaled
Jan 4 at 13:44
For a monotonous function crossing the zero axis you need to consider the absolute value at both interval ends, $q=max(|1+w|, |1+4w|)$. Then combine with $g(frac12)=frac12-frac38w$ to the condition $frac34|w|+max(|1+w|,|1+4w|)<1$. The left side is minimal for $w=-0.4$ with value $q=0.6$.
– LutzL
Jan 4 at 14:02
add a comment |
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1 Answer
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1 Answer
1
active
oldest
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active
oldest
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active
oldest
votes
You can visualize this iteration using phase plots for the iteration $x_{k+1}=g(x_k)$.
The gallery shows behavior from periodic cycles and then convergence to the fixed point, the root of $f$, with fastest convergence around $w=-0.6$. You can quantify this by considering the contraction factor $$q=max_{xin[0,1]}|g'(x)|=max|1-wf'(x)|.$$ Then if $|2g(0.5)-1|=|2wf(0.5)|<1-q$ one has also $$g([0,1])subset[g(0.5)-0.5q,, g(0.5)+0.5q]subset[0,1]$$ by the mean value theorem, and thus a fixed point.
Calculating $g'(x)=1+w(3x^2+1)$, this gives $max_{xin[0;1]}|g'(x)|=max|1+w(3x^2+1) |=|1+4w|$.
– HB khaled
Jan 4 at 13:44
For a monotonous function crossing the zero axis you need to consider the absolute value at both interval ends, $q=max(|1+w|, |1+4w|)$. Then combine with $g(frac12)=frac12-frac38w$ to the condition $frac34|w|+max(|1+w|,|1+4w|)<1$. The left side is minimal for $w=-0.4$ with value $q=0.6$.
– LutzL
Jan 4 at 14:02
add a comment |
You can visualize this iteration using phase plots for the iteration $x_{k+1}=g(x_k)$.
The gallery shows behavior from periodic cycles and then convergence to the fixed point, the root of $f$, with fastest convergence around $w=-0.6$. You can quantify this by considering the contraction factor $$q=max_{xin[0,1]}|g'(x)|=max|1-wf'(x)|.$$ Then if $|2g(0.5)-1|=|2wf(0.5)|<1-q$ one has also $$g([0,1])subset[g(0.5)-0.5q,, g(0.5)+0.5q]subset[0,1]$$ by the mean value theorem, and thus a fixed point.
Calculating $g'(x)=1+w(3x^2+1)$, this gives $max_{xin[0;1]}|g'(x)|=max|1+w(3x^2+1) |=|1+4w|$.
– HB khaled
Jan 4 at 13:44
For a monotonous function crossing the zero axis you need to consider the absolute value at both interval ends, $q=max(|1+w|, |1+4w|)$. Then combine with $g(frac12)=frac12-frac38w$ to the condition $frac34|w|+max(|1+w|,|1+4w|)<1$. The left side is minimal for $w=-0.4$ with value $q=0.6$.
– LutzL
Jan 4 at 14:02
add a comment |
You can visualize this iteration using phase plots for the iteration $x_{k+1}=g(x_k)$.
The gallery shows behavior from periodic cycles and then convergence to the fixed point, the root of $f$, with fastest convergence around $w=-0.6$. You can quantify this by considering the contraction factor $$q=max_{xin[0,1]}|g'(x)|=max|1-wf'(x)|.$$ Then if $|2g(0.5)-1|=|2wf(0.5)|<1-q$ one has also $$g([0,1])subset[g(0.5)-0.5q,, g(0.5)+0.5q]subset[0,1]$$ by the mean value theorem, and thus a fixed point.
You can visualize this iteration using phase plots for the iteration $x_{k+1}=g(x_k)$.
The gallery shows behavior from periodic cycles and then convergence to the fixed point, the root of $f$, with fastest convergence around $w=-0.6$. You can quantify this by considering the contraction factor $$q=max_{xin[0,1]}|g'(x)|=max|1-wf'(x)|.$$ Then if $|2g(0.5)-1|=|2wf(0.5)|<1-q$ one has also $$g([0,1])subset[g(0.5)-0.5q,, g(0.5)+0.5q]subset[0,1]$$ by the mean value theorem, and thus a fixed point.
edited Jan 4 at 14:08
answered Jan 4 at 13:13
LutzLLutzL
56.5k42054
56.5k42054
Calculating $g'(x)=1+w(3x^2+1)$, this gives $max_{xin[0;1]}|g'(x)|=max|1+w(3x^2+1) |=|1+4w|$.
– HB khaled
Jan 4 at 13:44
For a monotonous function crossing the zero axis you need to consider the absolute value at both interval ends, $q=max(|1+w|, |1+4w|)$. Then combine with $g(frac12)=frac12-frac38w$ to the condition $frac34|w|+max(|1+w|,|1+4w|)<1$. The left side is minimal for $w=-0.4$ with value $q=0.6$.
– LutzL
Jan 4 at 14:02
add a comment |
Calculating $g'(x)=1+w(3x^2+1)$, this gives $max_{xin[0;1]}|g'(x)|=max|1+w(3x^2+1) |=|1+4w|$.
– HB khaled
Jan 4 at 13:44
For a monotonous function crossing the zero axis you need to consider the absolute value at both interval ends, $q=max(|1+w|, |1+4w|)$. Then combine with $g(frac12)=frac12-frac38w$ to the condition $frac34|w|+max(|1+w|,|1+4w|)<1$. The left side is minimal for $w=-0.4$ with value $q=0.6$.
– LutzL
Jan 4 at 14:02
Calculating $g'(x)=1+w(3x^2+1)$, this gives $max_{xin[0;1]}|g'(x)|=max|1+w(3x^2+1) |=|1+4w|$.
– HB khaled
Jan 4 at 13:44
Calculating $g'(x)=1+w(3x^2+1)$, this gives $max_{xin[0;1]}|g'(x)|=max|1+w(3x^2+1) |=|1+4w|$.
– HB khaled
Jan 4 at 13:44
For a monotonous function crossing the zero axis you need to consider the absolute value at both interval ends, $q=max(|1+w|, |1+4w|)$. Then combine with $g(frac12)=frac12-frac38w$ to the condition $frac34|w|+max(|1+w|,|1+4w|)<1$. The left side is minimal for $w=-0.4$ with value $q=0.6$.
– LutzL
Jan 4 at 14:02
For a monotonous function crossing the zero axis you need to consider the absolute value at both interval ends, $q=max(|1+w|, |1+4w|)$. Then combine with $g(frac12)=frac12-frac38w$ to the condition $frac34|w|+max(|1+w|,|1+4w|)<1$. The left side is minimal for $w=-0.4$ with value $q=0.6$.
– LutzL
Jan 4 at 14:02
add a comment |
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And your take on this would be, what?
– Did
Jan 4 at 10:59
The fixed-point method cannot be applied for all $win[-1;0]$ see for example $w=-1$ and $w=-0.5$ do not work.
– HB khaled
Jan 4 at 11:04
Yes. And? $ $ $ $
– Did
Jan 4 at 11:05
I think that all $win [-1;-0.5]$ the method does not work, so $win [-0.5;0]$. And the other values of $w$?
– HB khaled
Jan 4 at 11:19