Let f:[a, b] → ℝ be a function and let c ∈ (a, b). If f is of bounded variation on [a, b],
prove that f is bounded on [a, b] and v(f,[a, b] = v(f,[a, c] + v(f,[c,d]).
Definitions. A finite subset "P=\\{x_0, x_1, \\dots,x_{n_P}\\}\\subset[a,b]" is a partition of the segment "[a,b]" if and only if "a=x_0<x_1<\\dots,x_{n_P-1}<x_{n_P}=b". The set of all partitions of the segment "[a,b]" is denoted by "Part[a,b]". If "f:[a,b]\\to \\mathbb{R}" is a function, then the variation of "f(x)" on the partition P is the sum "V(f;P)=\\sum\\limits_{i=1}^{n_P}|f(x_i)-f(x_{i-1})|". A quantity "V_a^b(f):=\\sup\\{V(f;P): P\\in Part[a,b]\\}" is called by the total variation of the function "f(x)" on the segment "[a,b]". The function "f(x)" is a function of bounded variation on the segment "[a,b]", if and only if "V_a^b(f)<+\\infty".
Theorem 1. If "f(x)" is a function of bounded variation on the segment "[a,b]", then "f(x)" is bounded on "[a,b]".
Proof. Suppose that "f(x)" is unbounded on "[a,b]". Then for all "k\\in\\mathbb{N}" there exists "t_k\\in [a,b]" such that "|f(t_k)|\\to+\\infty", as "k\\to+\\infty" . Consider the partition "P_k=\\{a,t_k,b\\}\\in Part[a,b]".
"V(f;P_k)=|f(t_k)-f(a)|+|f(t_k)-f(b)|\\geq 2|f(t_k)|-|f(a)|-|f(b)|\\to+\\infty"
Therefore, "V_a^b(f)=\\sup\\{V(f;P): P\\in Part[a,b]\\}=+\\infty" and "f(x)" is not a function of bounded variation on "[a,b]". The received contradiction proves the theorem.
Theorem 2. If "c\\in(a,b)" then "V_a^b(f)=V_a^c(f)+V_c^b(f)".
Proof. Let "P_1=\\{x_0, x_1, \\dots,x_{n_1}\\}\\in Part[a,c]", "P_2=\\{y_0, y_1, \\dots,y_{n_2}\\}\\in Part[c,b]". Put "P=P_1\\cup P_2\\in Part[a,b]". Then
"V(f;P)=\\sum\\limits_{i=1}^{n_1}|f(x_i)-f(x_{i-1})|+\\sum\\limits_{j=1}^{n_2}|f(y_j)-f(y_{j-1})|=V(f;P_1)+V(f;P_2)"
Hence
(*) "V_a^b(f)=\\sup\\{V(f;P): P\\in Part[a,b]\\}\\geq"
"\\sup\\{V(f;P_1)+V(f;P_2) | P_1\\in Part[a,c], P_2\\in Part[c,b]\\}="
"=V_a^c(f)+V_c^b(f)"
By now, let "P\\in Part[a,b]" be arbitrary. Put "P'=P\\cup\\{c\\}".
If "c\\in P", then "P'=P" and"V(f;P')=V(f;P)".
If "c\\notin P" then "c\\in(x_k, x_k+1)" for some "k" and, hence, "V(f;P')-V(f;P)=|f(c)-f(x_k)|+|f(x_{k+1})-f(c)|-|f(x_{k+1})-f(x_k)|\\geq 0" by the triangle inequality.
Put "LP=P'\\cap [a,c]\\in Part[a,c]", "RP=P'\\cap [c,b]\\in Part[c,b]". Then "P'=LP\\cup RP" and "LP\\cap RP=\\{c\\}". For such partitions it was proved above that "V(f; P')=V(f; LP)+V(f; RP)"
Therefore
"V(f; P)\\leq V(f; P')=V(f; LP)+V(f; RP)\\leq V_a^c(f)+V_c^b(f)"
Taking the supremum by "P" , we obtain
"V_a^b(f)\\leq V_a^c(f)+V_c^b(f)"
Combining this with (*), we get "V_a^b(f)= V_a^c(f)+V_c^b(f)".
Q.E.D.
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